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Implementation of Harm Reduction Syringe Services Programs at 2 Veterans Affairs Medical Centers
Implementation of Harm Reduction Syringe Services Programs at 2 Veterans Affairs Medical Centers
A syringe services program (SSP) is a harm reduction strategy designed to improve the quality of care provided to people who use drugs (PWUD). SSPs not only provide sterile syringes but establish a connection to medical services and resources for the safe disposal of syringes. By engaging with an SSP, patients may receive naloxone, condoms, fentanyl test strips, opioid use disorder medications, vaccinations, or testing for infectious diseases such as HIV and hepatitis C virus (HCV). Patients may also be connected to housing or social work services.
SSPs do not lead to increased drug use,1 increased improperly disposed supplies needed for drug use in the community, or increased crime.2,3 New users of SSPs are 5 times more likely to enter treatment for drug use than those who do not use SSPs.4-8 Further, SSPs have been found to reduce HIV and HCV transmission and are cost-effective in HIV prevention.9-11
Syringe Services Program
SSPs were implemented at the US Department of Veterans Affairs (VA) Alaska VA Healthcare System (AVAHCS) and VA Southern Oregon Healthcare System (VASOHCS). AVAHCS provides outpatient care across Alaska, with sites in Anchorage, Fairbanks, Homer, Juneau, Wasilla, and Soldotna. VASOHCS provides outpatient care to Southern Oregon and Northern California, with sites in White City, Grants Pass, and Klamath Falls, Oregon. Both are part of Veterans Integrated Service Network 20
Workgroups at AVAHCS and VASOHCS developed SSPs to reduce risks associated with drug use, promote positive outcomes for PWUD, and increase availability of harm reduction resources. During the July 2023 to June 2024 pharmacy residency cycle, an ambulatory care pharmacy resident from the Veterans Integrated Services Network 20 Clinical Resource Hub—a regional resource for clinical services—joined the workgroups. The workgroups established a goal that SSP resources would be made available to enrolled patients without any exclusions, prioritizing health equity.
SSP implementation needed buy-in from AVAHCS and VASOHCS leadership and key stakeholders who could participate in the workgroups. Following AVAHCS and VASOHCS leadership approval, each facility workgroup drafted standard operating procedures (SOPs). Both facilities planned to implement the program using prepackaged kits (sterile syringes, alcohol pads, cotton swabs, a sharps container, and an educational brochure on safe injection practices) supplied by the VA National Harm Reduction Program.
Each SSP offered patients direct links to additional care options at the time of kit distribution, including information regarding medications/supplies (ie, hepatitis A/B vaccines, HIV preexposure prophylaxis, substance use disorder pharmacotherapy, naloxone, and condoms), laboratory tests for infectious and sexually transmitted diseases, and referrals to substance use disorder treatment, social work, suicide prevention, mental health, and primary care.
The goal was to implement both SSPs during the July 2023 to June 2024 residency year. Other goals included tracking the quantity of supplies distributed, the number of patients reached, the impact of clinician education on the distribution of supplies, and comparing the implementation of the SSPs in the electronic health record (EHR) systems.
Alaska VA Healthcare System
An SOP was approved on December 20, 2023, and national supply kits were stocked in collaboration with the logistics department at the Anchorage AVAHCS campus. Social and behavioral health teams, primary care social workers, primary care clinicians, and nursing staff received training on the resources available through the SSP. A local adaptation of a template was created in the Computerized Patient Records System (CPRS) EHR. The template facilitates SSP kit distribution and patient screening for additional resources. Patients can engage with the SSP through any trained staff member. The staff member then completes the template and helps to distribute the SSP kit, in collaboration with the logistics department. The SSP does not operate in a dedicated physical space. The behavioral health team is most actively engaged in the SSP. The goal of SSP is to have resources available anywhere a patient requests services, including primary care and specialty clinics and to empower staff to meet patients’ needs. One patient has utilized the SSP as of June 2025.
Southern Oregon Healthcare System
Kits were ordered and stocked as pharmacy items in preparation for dispensing while awaiting medical center policy approval. Education began with the primary care mental health integration team. After initial education, an interdisciplinary presentation was given to VASOHCS clinicians to increase knowledge of the SSP. To enable documentation of SSP engagement, a local template was developed in the Cerner EHR to be shared among care team members at the facility. Similar to AVAHCS, the SSP does not have a physical space. All trained facility staff may engage in the SSP and distribute SSP kits. The workgroup that implemented this program remains available to support staff. Five patients have accessed the SSP since November 2024 and 7 SSP kits have been distributed as of June 2025.
Discussion
The SSP workgroups sought to expand the program through additional education. A number of factors should be considered when implementing an SSP. Across facilities, program implementation can be time-consuming and the timeline for administrative processes may be long. The workgroups met weekly or monthly depending on the status of the program and the administrative processes. Materials developed included SOP and MCP documents, a 1-page educational handout on SSP offerings, and a PowerPoint presentation for initial clinician education. Involving a pharmacy resident supported professional development and accelerated implementation timelines.
The facilities differed in implementation. AVAHCS collaborated with the logistics department to distribute kits, while VASOHCS worked with the Pharmacy service. A benefit of collaborating with logistics is that patients can receive a kit at the point of contact with the health care system, receiving it directly from the clinic the patient is visiting while eliminating the need to make an additional stop at the pharmacy. Conversely, partnering with the Pharmacy service allowed supply kits to be distributed by mail, enabling patients direct access to kits without having to present in-person. This is particularly valuable considering the large geographical area and remote care services available at VASOHCS.
Implementation varied significantly because AVAHCS operated on CPRS while VASOHCS used Cerner, a newer EHR. AVAHCS adapted a national template produced for CPRS sites, while VASOHCS had to prepare a local template (auto-text) for SSP documentation. Future plans at AVAHCS may include adding fentanyl test strips as an orderable item in the EHR given that AVAHCS has a local instance of CPRS; however, VASOHCS cannot order fentanyl test strips through the Pharmacy service due to legal restrictions. While Oregon permits fentanyl test strip use, the Cerner instance used by VA is a national program, and therefore the addition of fentanyl test strips as an orderable item in the EHR would carry national implications, including for VA health care systems in states where fentanyl test strip legality is variable. Despite the challenges, efforts to include fentanyl test strips in both SSPs are ongoing.
No significant EHR changes were needed to make the national supply kits available in the Cerner EHR through the VASOHCS Pharmacy service. To have national supply kits available through the AVAHCS Pharmacy service, the EHR would need to be manipulated by adding a local drug file in CPRS. Differences between the EHRs often facilitated the need for adaptation from existing models of SSPs within VA, which were all based in CPRS.
Conclusions
The implementation of SSPs at AVAHCS and VASOHCS enable clinicians to provide quality harm reduction services to PWUD. Despite variations in EHR systems, AVAHCS and VASOHCS implemented SSP within 1 year. Tracking of program engagement via the number of patients interacting with the program and the number of SSP kits distributed will continue. SSP implementation in states where it is permitted may help provide optimal patient care for PWUD.
- Hagan H, McGough JP, Thiede H, Hopkins S, Duchin J, Alexander ER. Reduced injection frequency and increased entry and retention in drug treatment associated with needle-exchange participation in Seattle drug injectors. J Subst Abuse Treat. 2000;19(3):247-252. doi:10.1016/s0740-5472(00)00104-5
- Marx MA, Crape B, Brookmeyer RS, et al. Trends in crime and the introduction of a needle exchange program. Am J Public Health. 2000;90(12):1933-1936. doi:10.2105/ajph.90.12.1933
- Galea S, Ahern J, Fuller C, Freudenberg N, Vlahov D. Needle exchange programs and experience of violence in an inner city neighborhood. J Acquir Immune Defic Syndr. 2001;28(3):282-288. doi:10.1097/00042560-200111010-00014
- Des Jarlais DC, Nugent A, Solberg A, Feelemyer J, Mermin J, Holtzman D. Syringe service programs for persons who inject drugs in urban, suburban, and rural areas — United States, 2013. MMWR Morb Mortal Wkly Rep. 2015;64(48):1337-1341. doi:10.15585/ mmwr.mm6448a3
- Tookes HE, Kral AH, Wenger LD, et al. A comparison of syringe disposal practices among injection drug users in a city with versus a city without needle and syringe programs. Drug Alcohol Depend. 2012;123(1-3):255-259. doi:10.1016/j.drugalcdep.2011.12.001
- Klein SJ, Candelas AR, Cooper JG, et al. Increasing safe syringe collection sites in New York State. Public Health Rep. 2008;123(4):433-440. doi:10.1177/003335490812300404
- de Montigny L, Vernez Moudon A, Leigh B, Kim SY. Assessing a drop box programme: a spatial analysis of discarded needles. Int J Drug Policy. 2010;21(3):208-214. doi:10.1016/j.drugpo.2009.07.003
- Bluthenthal RN, Anderson R, Flynn NM, Kral AH. Higher syringe coverage is associated with lower odds of HIV risk and does not increase unsafe syringe disposal among syringe exchange program clients. Drug Alcohol Depend. 2007;89(2-3):214-222. doi:10.1016/j.drugalcdep.2006.12.035
- Platt L, Minozzi S, Reed J, et al. Needle syringe programmes and opioid substitution therapy for preventing hepatitis C transmission in people who inject drugs. Cochrane Database Syst Rev. 2017;9(9):CD012021. doi:10.1002/14651858.CD012021.pub2
- Fernandes RM, Cary M, Duarte G, et al. Effectiveness of needle and syringe programmes in people who inject drugs — an overview of systematic reviews. BMC Public Health. 2017;17(1):309. doi:10.1186/s12889-017-4210-2
- Bernard CL, Owens DK, Goldhaber-Fiebert JD, Brandeau ML. Estimation of the cost-effectiveness of HIV prevention portfolios for people who inject drugs in the United States: a model-based analysis. PLoS Med. 2017;14(5):e1002312. doi:10.1371/journal.pmed.1002312
A syringe services program (SSP) is a harm reduction strategy designed to improve the quality of care provided to people who use drugs (PWUD). SSPs not only provide sterile syringes but establish a connection to medical services and resources for the safe disposal of syringes. By engaging with an SSP, patients may receive naloxone, condoms, fentanyl test strips, opioid use disorder medications, vaccinations, or testing for infectious diseases such as HIV and hepatitis C virus (HCV). Patients may also be connected to housing or social work services.
SSPs do not lead to increased drug use,1 increased improperly disposed supplies needed for drug use in the community, or increased crime.2,3 New users of SSPs are 5 times more likely to enter treatment for drug use than those who do not use SSPs.4-8 Further, SSPs have been found to reduce HIV and HCV transmission and are cost-effective in HIV prevention.9-11
Syringe Services Program
SSPs were implemented at the US Department of Veterans Affairs (VA) Alaska VA Healthcare System (AVAHCS) and VA Southern Oregon Healthcare System (VASOHCS). AVAHCS provides outpatient care across Alaska, with sites in Anchorage, Fairbanks, Homer, Juneau, Wasilla, and Soldotna. VASOHCS provides outpatient care to Southern Oregon and Northern California, with sites in White City, Grants Pass, and Klamath Falls, Oregon. Both are part of Veterans Integrated Service Network 20
Workgroups at AVAHCS and VASOHCS developed SSPs to reduce risks associated with drug use, promote positive outcomes for PWUD, and increase availability of harm reduction resources. During the July 2023 to June 2024 pharmacy residency cycle, an ambulatory care pharmacy resident from the Veterans Integrated Services Network 20 Clinical Resource Hub—a regional resource for clinical services—joined the workgroups. The workgroups established a goal that SSP resources would be made available to enrolled patients without any exclusions, prioritizing health equity.
SSP implementation needed buy-in from AVAHCS and VASOHCS leadership and key stakeholders who could participate in the workgroups. Following AVAHCS and VASOHCS leadership approval, each facility workgroup drafted standard operating procedures (SOPs). Both facilities planned to implement the program using prepackaged kits (sterile syringes, alcohol pads, cotton swabs, a sharps container, and an educational brochure on safe injection practices) supplied by the VA National Harm Reduction Program.
Each SSP offered patients direct links to additional care options at the time of kit distribution, including information regarding medications/supplies (ie, hepatitis A/B vaccines, HIV preexposure prophylaxis, substance use disorder pharmacotherapy, naloxone, and condoms), laboratory tests for infectious and sexually transmitted diseases, and referrals to substance use disorder treatment, social work, suicide prevention, mental health, and primary care.
The goal was to implement both SSPs during the July 2023 to June 2024 residency year. Other goals included tracking the quantity of supplies distributed, the number of patients reached, the impact of clinician education on the distribution of supplies, and comparing the implementation of the SSPs in the electronic health record (EHR) systems.
Alaska VA Healthcare System
An SOP was approved on December 20, 2023, and national supply kits were stocked in collaboration with the logistics department at the Anchorage AVAHCS campus. Social and behavioral health teams, primary care social workers, primary care clinicians, and nursing staff received training on the resources available through the SSP. A local adaptation of a template was created in the Computerized Patient Records System (CPRS) EHR. The template facilitates SSP kit distribution and patient screening for additional resources. Patients can engage with the SSP through any trained staff member. The staff member then completes the template and helps to distribute the SSP kit, in collaboration with the logistics department. The SSP does not operate in a dedicated physical space. The behavioral health team is most actively engaged in the SSP. The goal of SSP is to have resources available anywhere a patient requests services, including primary care and specialty clinics and to empower staff to meet patients’ needs. One patient has utilized the SSP as of June 2025.
Southern Oregon Healthcare System
Kits were ordered and stocked as pharmacy items in preparation for dispensing while awaiting medical center policy approval. Education began with the primary care mental health integration team. After initial education, an interdisciplinary presentation was given to VASOHCS clinicians to increase knowledge of the SSP. To enable documentation of SSP engagement, a local template was developed in the Cerner EHR to be shared among care team members at the facility. Similar to AVAHCS, the SSP does not have a physical space. All trained facility staff may engage in the SSP and distribute SSP kits. The workgroup that implemented this program remains available to support staff. Five patients have accessed the SSP since November 2024 and 7 SSP kits have been distributed as of June 2025.
Discussion
The SSP workgroups sought to expand the program through additional education. A number of factors should be considered when implementing an SSP. Across facilities, program implementation can be time-consuming and the timeline for administrative processes may be long. The workgroups met weekly or monthly depending on the status of the program and the administrative processes. Materials developed included SOP and MCP documents, a 1-page educational handout on SSP offerings, and a PowerPoint presentation for initial clinician education. Involving a pharmacy resident supported professional development and accelerated implementation timelines.
The facilities differed in implementation. AVAHCS collaborated with the logistics department to distribute kits, while VASOHCS worked with the Pharmacy service. A benefit of collaborating with logistics is that patients can receive a kit at the point of contact with the health care system, receiving it directly from the clinic the patient is visiting while eliminating the need to make an additional stop at the pharmacy. Conversely, partnering with the Pharmacy service allowed supply kits to be distributed by mail, enabling patients direct access to kits without having to present in-person. This is particularly valuable considering the large geographical area and remote care services available at VASOHCS.
Implementation varied significantly because AVAHCS operated on CPRS while VASOHCS used Cerner, a newer EHR. AVAHCS adapted a national template produced for CPRS sites, while VASOHCS had to prepare a local template (auto-text) for SSP documentation. Future plans at AVAHCS may include adding fentanyl test strips as an orderable item in the EHR given that AVAHCS has a local instance of CPRS; however, VASOHCS cannot order fentanyl test strips through the Pharmacy service due to legal restrictions. While Oregon permits fentanyl test strip use, the Cerner instance used by VA is a national program, and therefore the addition of fentanyl test strips as an orderable item in the EHR would carry national implications, including for VA health care systems in states where fentanyl test strip legality is variable. Despite the challenges, efforts to include fentanyl test strips in both SSPs are ongoing.
No significant EHR changes were needed to make the national supply kits available in the Cerner EHR through the VASOHCS Pharmacy service. To have national supply kits available through the AVAHCS Pharmacy service, the EHR would need to be manipulated by adding a local drug file in CPRS. Differences between the EHRs often facilitated the need for adaptation from existing models of SSPs within VA, which were all based in CPRS.
Conclusions
The implementation of SSPs at AVAHCS and VASOHCS enable clinicians to provide quality harm reduction services to PWUD. Despite variations in EHR systems, AVAHCS and VASOHCS implemented SSP within 1 year. Tracking of program engagement via the number of patients interacting with the program and the number of SSP kits distributed will continue. SSP implementation in states where it is permitted may help provide optimal patient care for PWUD.
A syringe services program (SSP) is a harm reduction strategy designed to improve the quality of care provided to people who use drugs (PWUD). SSPs not only provide sterile syringes but establish a connection to medical services and resources for the safe disposal of syringes. By engaging with an SSP, patients may receive naloxone, condoms, fentanyl test strips, opioid use disorder medications, vaccinations, or testing for infectious diseases such as HIV and hepatitis C virus (HCV). Patients may also be connected to housing or social work services.
SSPs do not lead to increased drug use,1 increased improperly disposed supplies needed for drug use in the community, or increased crime.2,3 New users of SSPs are 5 times more likely to enter treatment for drug use than those who do not use SSPs.4-8 Further, SSPs have been found to reduce HIV and HCV transmission and are cost-effective in HIV prevention.9-11
Syringe Services Program
SSPs were implemented at the US Department of Veterans Affairs (VA) Alaska VA Healthcare System (AVAHCS) and VA Southern Oregon Healthcare System (VASOHCS). AVAHCS provides outpatient care across Alaska, with sites in Anchorage, Fairbanks, Homer, Juneau, Wasilla, and Soldotna. VASOHCS provides outpatient care to Southern Oregon and Northern California, with sites in White City, Grants Pass, and Klamath Falls, Oregon. Both are part of Veterans Integrated Service Network 20
Workgroups at AVAHCS and VASOHCS developed SSPs to reduce risks associated with drug use, promote positive outcomes for PWUD, and increase availability of harm reduction resources. During the July 2023 to June 2024 pharmacy residency cycle, an ambulatory care pharmacy resident from the Veterans Integrated Services Network 20 Clinical Resource Hub—a regional resource for clinical services—joined the workgroups. The workgroups established a goal that SSP resources would be made available to enrolled patients without any exclusions, prioritizing health equity.
SSP implementation needed buy-in from AVAHCS and VASOHCS leadership and key stakeholders who could participate in the workgroups. Following AVAHCS and VASOHCS leadership approval, each facility workgroup drafted standard operating procedures (SOPs). Both facilities planned to implement the program using prepackaged kits (sterile syringes, alcohol pads, cotton swabs, a sharps container, and an educational brochure on safe injection practices) supplied by the VA National Harm Reduction Program.
Each SSP offered patients direct links to additional care options at the time of kit distribution, including information regarding medications/supplies (ie, hepatitis A/B vaccines, HIV preexposure prophylaxis, substance use disorder pharmacotherapy, naloxone, and condoms), laboratory tests for infectious and sexually transmitted diseases, and referrals to substance use disorder treatment, social work, suicide prevention, mental health, and primary care.
The goal was to implement both SSPs during the July 2023 to June 2024 residency year. Other goals included tracking the quantity of supplies distributed, the number of patients reached, the impact of clinician education on the distribution of supplies, and comparing the implementation of the SSPs in the electronic health record (EHR) systems.
Alaska VA Healthcare System
An SOP was approved on December 20, 2023, and national supply kits were stocked in collaboration with the logistics department at the Anchorage AVAHCS campus. Social and behavioral health teams, primary care social workers, primary care clinicians, and nursing staff received training on the resources available through the SSP. A local adaptation of a template was created in the Computerized Patient Records System (CPRS) EHR. The template facilitates SSP kit distribution and patient screening for additional resources. Patients can engage with the SSP through any trained staff member. The staff member then completes the template and helps to distribute the SSP kit, in collaboration with the logistics department. The SSP does not operate in a dedicated physical space. The behavioral health team is most actively engaged in the SSP. The goal of SSP is to have resources available anywhere a patient requests services, including primary care and specialty clinics and to empower staff to meet patients’ needs. One patient has utilized the SSP as of June 2025.
Southern Oregon Healthcare System
Kits were ordered and stocked as pharmacy items in preparation for dispensing while awaiting medical center policy approval. Education began with the primary care mental health integration team. After initial education, an interdisciplinary presentation was given to VASOHCS clinicians to increase knowledge of the SSP. To enable documentation of SSP engagement, a local template was developed in the Cerner EHR to be shared among care team members at the facility. Similar to AVAHCS, the SSP does not have a physical space. All trained facility staff may engage in the SSP and distribute SSP kits. The workgroup that implemented this program remains available to support staff. Five patients have accessed the SSP since November 2024 and 7 SSP kits have been distributed as of June 2025.
Discussion
The SSP workgroups sought to expand the program through additional education. A number of factors should be considered when implementing an SSP. Across facilities, program implementation can be time-consuming and the timeline for administrative processes may be long. The workgroups met weekly or monthly depending on the status of the program and the administrative processes. Materials developed included SOP and MCP documents, a 1-page educational handout on SSP offerings, and a PowerPoint presentation for initial clinician education. Involving a pharmacy resident supported professional development and accelerated implementation timelines.
The facilities differed in implementation. AVAHCS collaborated with the logistics department to distribute kits, while VASOHCS worked with the Pharmacy service. A benefit of collaborating with logistics is that patients can receive a kit at the point of contact with the health care system, receiving it directly from the clinic the patient is visiting while eliminating the need to make an additional stop at the pharmacy. Conversely, partnering with the Pharmacy service allowed supply kits to be distributed by mail, enabling patients direct access to kits without having to present in-person. This is particularly valuable considering the large geographical area and remote care services available at VASOHCS.
Implementation varied significantly because AVAHCS operated on CPRS while VASOHCS used Cerner, a newer EHR. AVAHCS adapted a national template produced for CPRS sites, while VASOHCS had to prepare a local template (auto-text) for SSP documentation. Future plans at AVAHCS may include adding fentanyl test strips as an orderable item in the EHR given that AVAHCS has a local instance of CPRS; however, VASOHCS cannot order fentanyl test strips through the Pharmacy service due to legal restrictions. While Oregon permits fentanyl test strip use, the Cerner instance used by VA is a national program, and therefore the addition of fentanyl test strips as an orderable item in the EHR would carry national implications, including for VA health care systems in states where fentanyl test strip legality is variable. Despite the challenges, efforts to include fentanyl test strips in both SSPs are ongoing.
No significant EHR changes were needed to make the national supply kits available in the Cerner EHR through the VASOHCS Pharmacy service. To have national supply kits available through the AVAHCS Pharmacy service, the EHR would need to be manipulated by adding a local drug file in CPRS. Differences between the EHRs often facilitated the need for adaptation from existing models of SSPs within VA, which were all based in CPRS.
Conclusions
The implementation of SSPs at AVAHCS and VASOHCS enable clinicians to provide quality harm reduction services to PWUD. Despite variations in EHR systems, AVAHCS and VASOHCS implemented SSP within 1 year. Tracking of program engagement via the number of patients interacting with the program and the number of SSP kits distributed will continue. SSP implementation in states where it is permitted may help provide optimal patient care for PWUD.
- Hagan H, McGough JP, Thiede H, Hopkins S, Duchin J, Alexander ER. Reduced injection frequency and increased entry and retention in drug treatment associated with needle-exchange participation in Seattle drug injectors. J Subst Abuse Treat. 2000;19(3):247-252. doi:10.1016/s0740-5472(00)00104-5
- Marx MA, Crape B, Brookmeyer RS, et al. Trends in crime and the introduction of a needle exchange program. Am J Public Health. 2000;90(12):1933-1936. doi:10.2105/ajph.90.12.1933
- Galea S, Ahern J, Fuller C, Freudenberg N, Vlahov D. Needle exchange programs and experience of violence in an inner city neighborhood. J Acquir Immune Defic Syndr. 2001;28(3):282-288. doi:10.1097/00042560-200111010-00014
- Des Jarlais DC, Nugent A, Solberg A, Feelemyer J, Mermin J, Holtzman D. Syringe service programs for persons who inject drugs in urban, suburban, and rural areas — United States, 2013. MMWR Morb Mortal Wkly Rep. 2015;64(48):1337-1341. doi:10.15585/ mmwr.mm6448a3
- Tookes HE, Kral AH, Wenger LD, et al. A comparison of syringe disposal practices among injection drug users in a city with versus a city without needle and syringe programs. Drug Alcohol Depend. 2012;123(1-3):255-259. doi:10.1016/j.drugalcdep.2011.12.001
- Klein SJ, Candelas AR, Cooper JG, et al. Increasing safe syringe collection sites in New York State. Public Health Rep. 2008;123(4):433-440. doi:10.1177/003335490812300404
- de Montigny L, Vernez Moudon A, Leigh B, Kim SY. Assessing a drop box programme: a spatial analysis of discarded needles. Int J Drug Policy. 2010;21(3):208-214. doi:10.1016/j.drugpo.2009.07.003
- Bluthenthal RN, Anderson R, Flynn NM, Kral AH. Higher syringe coverage is associated with lower odds of HIV risk and does not increase unsafe syringe disposal among syringe exchange program clients. Drug Alcohol Depend. 2007;89(2-3):214-222. doi:10.1016/j.drugalcdep.2006.12.035
- Platt L, Minozzi S, Reed J, et al. Needle syringe programmes and opioid substitution therapy for preventing hepatitis C transmission in people who inject drugs. Cochrane Database Syst Rev. 2017;9(9):CD012021. doi:10.1002/14651858.CD012021.pub2
- Fernandes RM, Cary M, Duarte G, et al. Effectiveness of needle and syringe programmes in people who inject drugs — an overview of systematic reviews. BMC Public Health. 2017;17(1):309. doi:10.1186/s12889-017-4210-2
- Bernard CL, Owens DK, Goldhaber-Fiebert JD, Brandeau ML. Estimation of the cost-effectiveness of HIV prevention portfolios for people who inject drugs in the United States: a model-based analysis. PLoS Med. 2017;14(5):e1002312. doi:10.1371/journal.pmed.1002312
- Hagan H, McGough JP, Thiede H, Hopkins S, Duchin J, Alexander ER. Reduced injection frequency and increased entry and retention in drug treatment associated with needle-exchange participation in Seattle drug injectors. J Subst Abuse Treat. 2000;19(3):247-252. doi:10.1016/s0740-5472(00)00104-5
- Marx MA, Crape B, Brookmeyer RS, et al. Trends in crime and the introduction of a needle exchange program. Am J Public Health. 2000;90(12):1933-1936. doi:10.2105/ajph.90.12.1933
- Galea S, Ahern J, Fuller C, Freudenberg N, Vlahov D. Needle exchange programs and experience of violence in an inner city neighborhood. J Acquir Immune Defic Syndr. 2001;28(3):282-288. doi:10.1097/00042560-200111010-00014
- Des Jarlais DC, Nugent A, Solberg A, Feelemyer J, Mermin J, Holtzman D. Syringe service programs for persons who inject drugs in urban, suburban, and rural areas — United States, 2013. MMWR Morb Mortal Wkly Rep. 2015;64(48):1337-1341. doi:10.15585/ mmwr.mm6448a3
- Tookes HE, Kral AH, Wenger LD, et al. A comparison of syringe disposal practices among injection drug users in a city with versus a city without needle and syringe programs. Drug Alcohol Depend. 2012;123(1-3):255-259. doi:10.1016/j.drugalcdep.2011.12.001
- Klein SJ, Candelas AR, Cooper JG, et al. Increasing safe syringe collection sites in New York State. Public Health Rep. 2008;123(4):433-440. doi:10.1177/003335490812300404
- de Montigny L, Vernez Moudon A, Leigh B, Kim SY. Assessing a drop box programme: a spatial analysis of discarded needles. Int J Drug Policy. 2010;21(3):208-214. doi:10.1016/j.drugpo.2009.07.003
- Bluthenthal RN, Anderson R, Flynn NM, Kral AH. Higher syringe coverage is associated with lower odds of HIV risk and does not increase unsafe syringe disposal among syringe exchange program clients. Drug Alcohol Depend. 2007;89(2-3):214-222. doi:10.1016/j.drugalcdep.2006.12.035
- Platt L, Minozzi S, Reed J, et al. Needle syringe programmes and opioid substitution therapy for preventing hepatitis C transmission in people who inject drugs. Cochrane Database Syst Rev. 2017;9(9):CD012021. doi:10.1002/14651858.CD012021.pub2
- Fernandes RM, Cary M, Duarte G, et al. Effectiveness of needle and syringe programmes in people who inject drugs — an overview of systematic reviews. BMC Public Health. 2017;17(1):309. doi:10.1186/s12889-017-4210-2
- Bernard CL, Owens DK, Goldhaber-Fiebert JD, Brandeau ML. Estimation of the cost-effectiveness of HIV prevention portfolios for people who inject drugs in the United States: a model-based analysis. PLoS Med. 2017;14(5):e1002312. doi:10.1371/journal.pmed.1002312
Implementation of Harm Reduction Syringe Services Programs at 2 Veterans Affairs Medical Centers
Implementation of Harm Reduction Syringe Services Programs at 2 Veterans Affairs Medical Centers
Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans
Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans
Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7
Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16
It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.
Methods
This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.
Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.
Inclusion and Exclusion Criteria
All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.
Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20
The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.
A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.
Analyses
Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.
Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.
Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.
Results
After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).



There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).



Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (Table 3). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (Table 4).

Discussion
This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.
Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.
Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.
In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37
The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.
Strengths and Limitations
This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.
However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.
This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.
Conclusions
Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.
- Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73(3):233-254. doi:10.3322/caac.21772
- Carethers JM, Doubeni CA. Causes of socioeconomic disparities in colorectal cancer and intervention framework and strategies. Gastroenterology. 2020;158(2):354-367. doi:10.1053/j.gastro.2019.10.029
- Murphy G, Devesa SS, Cross AJ, Inskip PD, McGlynn KA, Cook MB. Sex disparities in colorectal cancer incidence by anatomic subsite, race and age. Int J Cancer. 2011;128(7):1668-75. doi:10.1002/ijc.25481
- Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
- Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
- Siegel RL, Fedewa SA, Anderson WF, et al. Colorectal cancer incidence patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017;109(8). doi:10.1093/jnci/djw322
- Davidson KW, Barry MJ, Mangione CM, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965-1977. doi:10.1001/jama.2021.6238
- Hines R, Markossian T, Johnson A, Dong F, Bayakly R. Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes. Am J Public Health. 2014;104(3):e63-e71. doi:10.2105/AJPH.2013.301572
- Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
- Gong G, Phillips SG, Hudson C, Curti D, Philips BU. Higher US rural mortality rates linked to socioeconomic status, physician shortages, and lack of health insurance. Health Aff (Millwood);38(12):2003-2010. doi:10.1377/hlthaff.2019.00722
- Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
- Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
- Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
- Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
- Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
- Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
- US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
- US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
- Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
- Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
- Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
- Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
- Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
- US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
- Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
- Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
- Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
- Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
- Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
- Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
- Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
- Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
- Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
- Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
- Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
- Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
- Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
- McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
- US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7
Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16
It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.
Methods
This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.
Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.
Inclusion and Exclusion Criteria
All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.
Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20
The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.
A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.
Analyses
Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.
Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.
Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.
Results
After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).



There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).



Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (Table 3). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (Table 4).

Discussion
This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.
Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.
Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.
In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37
The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.
Strengths and Limitations
This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.
However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.
This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.
Conclusions
Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.
Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7
Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16
It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.
Methods
This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.
Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.
Inclusion and Exclusion Criteria
All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.
Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20
The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.
A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.
Analyses
Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.
Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.
Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.
Results
After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).



There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).



Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (Table 3). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (Table 4).

Discussion
This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.
Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.
Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.
In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37
The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.
Strengths and Limitations
This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.
However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.
This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.
Conclusions
Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.
- Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73(3):233-254. doi:10.3322/caac.21772
- Carethers JM, Doubeni CA. Causes of socioeconomic disparities in colorectal cancer and intervention framework and strategies. Gastroenterology. 2020;158(2):354-367. doi:10.1053/j.gastro.2019.10.029
- Murphy G, Devesa SS, Cross AJ, Inskip PD, McGlynn KA, Cook MB. Sex disparities in colorectal cancer incidence by anatomic subsite, race and age. Int J Cancer. 2011;128(7):1668-75. doi:10.1002/ijc.25481
- Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
- Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
- Siegel RL, Fedewa SA, Anderson WF, et al. Colorectal cancer incidence patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017;109(8). doi:10.1093/jnci/djw322
- Davidson KW, Barry MJ, Mangione CM, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965-1977. doi:10.1001/jama.2021.6238
- Hines R, Markossian T, Johnson A, Dong F, Bayakly R. Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes. Am J Public Health. 2014;104(3):e63-e71. doi:10.2105/AJPH.2013.301572
- Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
- Gong G, Phillips SG, Hudson C, Curti D, Philips BU. Higher US rural mortality rates linked to socioeconomic status, physician shortages, and lack of health insurance. Health Aff (Millwood);38(12):2003-2010. doi:10.1377/hlthaff.2019.00722
- Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
- Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
- Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
- Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
- Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
- Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
- US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
- US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
- Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
- Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
- Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
- Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
- Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
- US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
- Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
- Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
- Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
- Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
- Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
- Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
- Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
- Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
- Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
- Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
- Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
- Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
- Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
- McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
- US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
- Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73(3):233-254. doi:10.3322/caac.21772
- Carethers JM, Doubeni CA. Causes of socioeconomic disparities in colorectal cancer and intervention framework and strategies. Gastroenterology. 2020;158(2):354-367. doi:10.1053/j.gastro.2019.10.029
- Murphy G, Devesa SS, Cross AJ, Inskip PD, McGlynn KA, Cook MB. Sex disparities in colorectal cancer incidence by anatomic subsite, race and age. Int J Cancer. 2011;128(7):1668-75. doi:10.1002/ijc.25481
- Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
- Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
- Siegel RL, Fedewa SA, Anderson WF, et al. Colorectal cancer incidence patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017;109(8). doi:10.1093/jnci/djw322
- Davidson KW, Barry MJ, Mangione CM, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965-1977. doi:10.1001/jama.2021.6238
- Hines R, Markossian T, Johnson A, Dong F, Bayakly R. Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes. Am J Public Health. 2014;104(3):e63-e71. doi:10.2105/AJPH.2013.301572
- Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
- Gong G, Phillips SG, Hudson C, Curti D, Philips BU. Higher US rural mortality rates linked to socioeconomic status, physician shortages, and lack of health insurance. Health Aff (Millwood);38(12):2003-2010. doi:10.1377/hlthaff.2019.00722
- Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
- Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
- Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
- Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
- Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
- Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
- US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
- US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
- Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
- Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
- Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
- Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
- Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
- US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
- Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
- Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
- Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
- Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
- Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
- Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
- Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
- Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
- Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
- Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
- Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
- Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
- Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
- McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
- US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans
Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans
Cancer Data Trends 2025
The annual issue of Cancer Data Trends, produced in collaboration with the Association of VA Hematology/Oncology (AVAHO), highlights the latest research in some of the top cancers impacting US veterans.
In this issue:
- Access, Race, and "Colon Age": Improving CRC Screening
- Lung Cancer: Mortality Trends in Veterans and New Treatments
- Racial Disparities, Germline Testing, and Improved Overall Survival in Prostate Cancer
- Breast and Uterine Cancer: Screening Guidelines, Genetic Testing, and Mortality Trends
- HCC Updates: Quality Care Framework and Risk Stratification Data
- Rising Kidney Cancer Cases and Emerging Treatments for Veterans
- Advances in Blood Cancer Care for Veterans
- AI-Based Risk Stratification for Oropharyngeal Carcinomas: AIROC
- Brain Cancer: Epidemiology, TBI, and New Treatments
The annual issue of Cancer Data Trends, produced in collaboration with the Association of VA Hematology/Oncology (AVAHO), highlights the latest research in some of the top cancers impacting US veterans.
In this issue:
- Access, Race, and "Colon Age": Improving CRC Screening
- Lung Cancer: Mortality Trends in Veterans and New Treatments
- Racial Disparities, Germline Testing, and Improved Overall Survival in Prostate Cancer
- Breast and Uterine Cancer: Screening Guidelines, Genetic Testing, and Mortality Trends
- HCC Updates: Quality Care Framework and Risk Stratification Data
- Rising Kidney Cancer Cases and Emerging Treatments for Veterans
- Advances in Blood Cancer Care for Veterans
- AI-Based Risk Stratification for Oropharyngeal Carcinomas: AIROC
- Brain Cancer: Epidemiology, TBI, and New Treatments
The annual issue of Cancer Data Trends, produced in collaboration with the Association of VA Hematology/Oncology (AVAHO), highlights the latest research in some of the top cancers impacting US veterans.
In this issue:
- Access, Race, and "Colon Age": Improving CRC Screening
- Lung Cancer: Mortality Trends in Veterans and New Treatments
- Racial Disparities, Germline Testing, and Improved Overall Survival in Prostate Cancer
- Breast and Uterine Cancer: Screening Guidelines, Genetic Testing, and Mortality Trends
- HCC Updates: Quality Care Framework and Risk Stratification Data
- Rising Kidney Cancer Cases and Emerging Treatments for Veterans
- Advances in Blood Cancer Care for Veterans
- AI-Based Risk Stratification for Oropharyngeal Carcinomas: AIROC
- Brain Cancer: Epidemiology, TBI, and New Treatments
The Need for a Multidisciplinary Approach for Successful High-Risk Pulmonary Embolism Treatment
The Need for a Multidisciplinary Approach for Successful High-Risk Pulmonary Embolism Treatment
Pulmonary embolism (PE) is a common cause of morbidity and mortality in the general population.1 The incidence of PE has been reported to range from 39 to 115 per 100,000 persons per year and has remained stable.2 Although mortality rates have declined, they remain high.3 The clinical presentation is nonspecific, making diagnosis and management challenging. A crucial and difficult aspect in the management of patients with PE is weighing the risks vs benefits of treatment, including thrombolytic therapy and other invasive procedures, which carry inherent risks. These factors have led to the development of PE response teams (PERTs) in some hospitals to implement effective multidisciplinary protocols that facilitate prompt diagnosis, management, and follow-up.4
CASE PRESENTATIONS
Case 1
New onset seizures and cardiac arrest in the treatment of saddle PE. A 54-year-old male who worked as a draftsman and truck driver with a history of hypertension and nephrolithiasis presented to the emergency department (ED) with progressive shortness of breath for 2 weeks. On the morning of ED presentation the patient experienced an episode of severe shortness of breath, lightheadedness, and chest pressure. He reported no other symptoms such as palpitations, nausea, vomiting, abdominal discomfort, or extremity pain or swelling. He reported no recent travel, immunization, falls, or surgery. Upon evaluation, the patient was found to be in no acute distress, with stable vital signs and laboratory results except for 2 elevated results: > 20 μg/mL D-dimer (reference range, < 0.5 μg/mL) and N-terminal prohormone brain natriuretic peptide (proBNP) level, 3455 pg/mL (reference range, < 125 pg/mL for patients aged < 75 years). Electrocardiogram showed T-wave inversions in leads V2 to V4. Imaging revealed a saddle PE and left popliteal deep venous thrombosis (Figure 1). The patient received an anticoagulation loading dose and was started on heparin drip upon admission to the medical intensive care unit (MICU) for further management and monitoring. The Interventional Radiology Service recommended full anticoagulation with consideration of reperfusion therapies if deterioration developed.

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).
While in the MICU, point-of-care ultrasound findings were confirmed with official echocardiogram by the cardiology service, which demonstrated a preserved ejection fraction of 60% to 65%, a D-shaped left ventricle with septal wall hypokinesis secondary to right heart strain (Figure 2), a markedly elevated right ventricular systolic pressure (RVSP) of 73 mm Hg, and a mean pulmonary artery pressure (mPAP) of 38 mm Hg. The patient’s blood pressure progressively decreased, heart rate increased, and he required increased oxygen supplementation. The case was discussed with the Pharmacy Service, and since the patient had no contraindications to thrombolytic therapy, the appropriate dosage was calculated and 100 mg intravenous (IV) tissue plasminogen activator (tPA) was administered over 2 hours.

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).
About 40 minutes into tPA infusion, the patient suddenly experienced marked shortness of breath, diaphoresis, and anxiety with seizure-like involuntary movements; as a result, the infusion was stopped. He also had episodes of posturing, mental status decline, and briefly going in and out of consciousness, which lasted about 3 minutes before he lost consciousness and pulse. High-quality advanced cardiac life support was initiated, followed by endotracheal intubation. Despite a secured airway and return of spontaneous circulation, the patient remained hypotensive and continued to have seizure-like activity.
The patient was administered a total of 8 mg of lorazepam, sedated with propofol, initiated at 5 μg/kg/min, titrated to stop seizure activity at 15μg/kg/min, and later maintained at 10 μg/kg/min, for a RASS of -1, and started on norepinephrine 0.1 μg/kg/min for acute stabilization. Head computed tomography without contrast showed no acute intracranial pathology as etiology of seizures. Seizure etiology differential at this time was broad; however, hypoxemia due to PE and medication adverse effects were strongly suspected.
The patient’s condition improved, and vasopressor therapy was tapered off the next day. Four days later, the patient was weaned from mechanical ventilation and transferred to the step-down unit. Echocardiogram obtained 48 hours after tPA infusion showed essentially normal left ventricular function (60%-65%), a RVSP of 17 mm Hg and mPAP of 13 mm Hg. The patient’s ProBNP levels markedly decreased to 137 pg/mL. Postextubation, the neurologic examination was at baseline. The Neurology Service recommended temporary treatment with levetiracetam, 1000 mg every 12 hours, and the Hematology Service recommended transitioning to direct oral anticoagulation with follow-up. The patient presented significant clinical and respiratory improvement and was referred for home-based physical rehabilitation as recommended by the physical medicine and rehabilitation service before being discharged.
Case 2
Localized tPA infusion for bilateral PEs via infusion catheters. A 91-year-old male with no history of smoking and a medical history of hypertension, diabetes mellitus, prostate cancer (> 20 years postradiotherapy) and severe osteoarthritis was receiving treatment in the medical ward for medication-induced liver injury secondary to an antibiotic for a urinary tract infection. During the night the patient developed hypotension (86/46 mm Hg), shortness of breath, tachypnea, desaturation, nonradiating retrosternal chest pain, and tachycardia. The hypotension resolved after a 500-mL 0.9 normal saline bolus, and hypoxemia improved with supplemental oxygen via Venturi mask. Chest computed tomography angiography was performed immediately and revealed extensive bilateral acute PE, located most proximally in the right main pulmonary artery (PA) and on the left in the proximal lobar branches, with associated right heart strain. The patient was started on IV heparin with a bolus of 5000 units (80 u/kg) followed by a drip with a partial thromboplastin time goal of 62-103 seconds and transferred to MICU.
Laboratory findings were notable for proBNP that increased from 115 pg/mL to 4470 pg/mL (reference range, < 450 pg/mL for patients aged 75 years) and elevated troponin levels at 218 ng/L to 295 ng/L (reference range, < 22 ng/L), exhibiting chemical evidence of right heart strain. Initial echocardiogram showed mid-right ventricular free wall akinesis with a hypercontractile apex, suggestive of PE (McConnell’s sign) (Figure 3). Interventional Radiology Service was consulted and recommended tPA infusion given that the patient had bilateral PEs and stable blood pressure.

Pulmonary angiogram showed elevated pressures in the right PA of 64/21 mm Hg and the left PA pressures of 63/20 mm Hg. Mechanical disruption of the larger right lower PA thrombus was achieved via a pigtail catheter followed by bilateral catheter bolus infusions of 2 mg tPA (alteplase) and a continuous tPA infusion 0.5 mg/h for 24 hours, in conjunction with a heparin infusion.
After 24 hours of tPA infusion, the catheters were removed, with posttreatment pulmonary angiography demonstrating right and left PA pressures of 42/15 mm Hg and 40/16 mm Hg, respectively. Pre- and postlocalized tPA infusion treatment images are provided for visual comparison (Figure 4). An echocardiogram performed after tPA infusion showed no signs of pulmonary hypertension. The Hematology Service provided recommendations regarding anticoagulation, and after completion of tPA infusion, the patient was transitioned to an unfractioned heparin infusion and subsequently to direct oral anticoagulation prior to transfer back to the medical ward, hemodynamically stable and asymptomatic.

DISCUSSION
PE management can be a straightforward decision when the patient meets criteria for hemodynamic instability, or with small PE burden. In contrast, management can be more challenging in intermediate-risk (submassive) PE when patients remain hemodynamically stable but show signs of cardiopulmonary stress, such as right heart strain, elevated troponins, or increased proBNP levels.2 In these situations, case-by- case evaluation is warranted. A PERT can assess the most beneficial treatment approach by considering factors such as right ventricular dysfunction, hemodynamic status, clot burden, and clinical deterioration despite appropriate anticoagulation. The evidence supporting the benefits these organized teams can provide is growing. These case reports emphasize the need for a multidisciplinary and systematic approach in these complex cases, especially in the management of intermediate-risk PE patients.
Currently, the Veterans Affairs Caribbean Healthcare System does not have an organized PERT, although a multidisciplinary approach was applied in the management of these patients. A systematic, structured team could have decreased time to interventions and alleviated the burden of physician decision-making. Having such a team would streamline the diagnostic pathway for patients presenting from a ward or emergency department with suspected PE.
We present 2 cases of patients found to have a high clot burden from PEs. The patients were initially hemodynamically stable (intermediate-risk PE), but later required systemic or localized thrombolysis due to hemodynamic deterioration despite adequate anticoagulation. Despite similar diagnoses and etiologies, these patients were successfully managed using different approaches, yielding positive outcomes. This reflects the complexity and variability in diagnosing and managing intermediate-risk PE in patients with different comorbidities and clot burden effects. In Case 1, our multidisciplinary approach was obtained via consults to selected services such as interventional radiology, cardiology, and direct involvement of pharmacy. An organized PERT conceivably would have allowed quicker discussions among these services, including hematology, to provide recommendations and collaborative support upon the patient’s arrival to the ED. Additionally, with a PERT team, a systematic approach to these patients could have allowed for an earlier official echocardiogram report for evaluation of right heart strain and develop an adequate therapeutic plan in a timely manner.
In Case 2, consultation with the Interventional Radiology Service yielded a better therapeutic plan, utilizing localized tPA infusion for this older adult patient with increased risk of bleeding with systemic tPA infusion. Having a PERT presents an opportunity to optimize PE management through early recognition, diagnosis, and treatment by institutional consensus from an interdisciplinary team.5,6 These response teams may improve outcomes and prognosis for patients with PE, especially where diagnosis and management is not clear.
The definite etiology of seizure activity in the first case pre- and postcardiac arrest, in the context of no acute intracranial process, remains unknown. Reports have emerged about postreperfusion seizures in acute ischemic stroke, as well as cases of seizures masquerading as PE as the primary presentation. 7,8 However, there were no reports of patients developing seizures post tPA infusion for the treatment of PE. This report may shed light into possible complications secondary to tPA infusion, raising awareness among physicians and encouraging further investigation into its possible etiologies.
CONCLUSIONS
Management of PE can be challenging in patients that meet criteria for intermediate risk. PERTs are a tool that allow for a multidisciplinary, standardized and systematic approach with a diagnostic and treatment algorithm that conceivably would result in a better consensus and therapeutic approach.
- Thompson BT, Kabrhel C. Epidemiology and pathogenesis of acute pulmonary embolism in adults. UpToDate. Wolters Kluwer. Updated December 4, 2023. Accessed February 26, 2025. https://www.uptodate.cn/contents/epidemiology-and-pathogenesis-of-acute-pulmonary-embolism-in-adults
- Kulka HC, Zeller A, Fornaro J, Wuillemin WA, Konstantinides S, Christ M. Acute pulmonary embolism– its diagnosis and treatment from a multidisciplinary viewpoint. Dtsch Arztebl Int. 2021;118(37):618-628. doi:10.3238/arztebl.m2021.0226
- Zghouzi M, Mwansa H, Shore S, et al. Sex, racial, and geographic disparities in pulmonary embolism-related mortality nationwide. Ann Am Thorac Soc. 2023;20(11):1571-1577. doi:10.1513/AnnalsATS.202302-091OC
- Channick RN. The pulmonary embolism response team: why and how? Semin Respir Crit Care Med. 2021;42(2):212-217. doi:10.1055/s-0041-1722963
- Rosovsky R, Zhao K, Sista A, Rivera-Lebron B, Kabrhel C. Pulmonary embolism response teams: purpose, evidence for efficacy, and future research directions. Res Pract Thromb Haemost. 2019;3(3):315-330. doi:10.1002/rth2.12216
- Glazier JJ, Patiño-Velasquez S, Oviedo C. The pulmonary embolism response team: rationale, operation, and outcomes. Int J Angiol. 2022;31(3):198-202. doi:10.1055/s-0042-1750328
- Lekoubou A, Fox J, Ssentongo P. Incidence and association of reperfusion therapies with poststroke seizures: a systematic review and meta-analysis. Stroke. 2020;51(9):2715-2723.doi:10.1161/STROKEAHA.119. 028899
- Alemany M, Nuñez A, Falip M, et al. Acute symptomatic seizures and epilepsy after mechanical thrombectomy. A prospective long-term follow-up study. Seizure. 2021;89:5-9. doi:10.1016/j.seizure.2021.04.011
Pulmonary embolism (PE) is a common cause of morbidity and mortality in the general population.1 The incidence of PE has been reported to range from 39 to 115 per 100,000 persons per year and has remained stable.2 Although mortality rates have declined, they remain high.3 The clinical presentation is nonspecific, making diagnosis and management challenging. A crucial and difficult aspect in the management of patients with PE is weighing the risks vs benefits of treatment, including thrombolytic therapy and other invasive procedures, which carry inherent risks. These factors have led to the development of PE response teams (PERTs) in some hospitals to implement effective multidisciplinary protocols that facilitate prompt diagnosis, management, and follow-up.4
CASE PRESENTATIONS
Case 1
New onset seizures and cardiac arrest in the treatment of saddle PE. A 54-year-old male who worked as a draftsman and truck driver with a history of hypertension and nephrolithiasis presented to the emergency department (ED) with progressive shortness of breath for 2 weeks. On the morning of ED presentation the patient experienced an episode of severe shortness of breath, lightheadedness, and chest pressure. He reported no other symptoms such as palpitations, nausea, vomiting, abdominal discomfort, or extremity pain or swelling. He reported no recent travel, immunization, falls, or surgery. Upon evaluation, the patient was found to be in no acute distress, with stable vital signs and laboratory results except for 2 elevated results: > 20 μg/mL D-dimer (reference range, < 0.5 μg/mL) and N-terminal prohormone brain natriuretic peptide (proBNP) level, 3455 pg/mL (reference range, < 125 pg/mL for patients aged < 75 years). Electrocardiogram showed T-wave inversions in leads V2 to V4. Imaging revealed a saddle PE and left popliteal deep venous thrombosis (Figure 1). The patient received an anticoagulation loading dose and was started on heparin drip upon admission to the medical intensive care unit (MICU) for further management and monitoring. The Interventional Radiology Service recommended full anticoagulation with consideration of reperfusion therapies if deterioration developed.

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).
While in the MICU, point-of-care ultrasound findings were confirmed with official echocardiogram by the cardiology service, which demonstrated a preserved ejection fraction of 60% to 65%, a D-shaped left ventricle with septal wall hypokinesis secondary to right heart strain (Figure 2), a markedly elevated right ventricular systolic pressure (RVSP) of 73 mm Hg, and a mean pulmonary artery pressure (mPAP) of 38 mm Hg. The patient’s blood pressure progressively decreased, heart rate increased, and he required increased oxygen supplementation. The case was discussed with the Pharmacy Service, and since the patient had no contraindications to thrombolytic therapy, the appropriate dosage was calculated and 100 mg intravenous (IV) tissue plasminogen activator (tPA) was administered over 2 hours.

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).
About 40 minutes into tPA infusion, the patient suddenly experienced marked shortness of breath, diaphoresis, and anxiety with seizure-like involuntary movements; as a result, the infusion was stopped. He also had episodes of posturing, mental status decline, and briefly going in and out of consciousness, which lasted about 3 minutes before he lost consciousness and pulse. High-quality advanced cardiac life support was initiated, followed by endotracheal intubation. Despite a secured airway and return of spontaneous circulation, the patient remained hypotensive and continued to have seizure-like activity.
The patient was administered a total of 8 mg of lorazepam, sedated with propofol, initiated at 5 μg/kg/min, titrated to stop seizure activity at 15μg/kg/min, and later maintained at 10 μg/kg/min, for a RASS of -1, and started on norepinephrine 0.1 μg/kg/min for acute stabilization. Head computed tomography without contrast showed no acute intracranial pathology as etiology of seizures. Seizure etiology differential at this time was broad; however, hypoxemia due to PE and medication adverse effects were strongly suspected.
The patient’s condition improved, and vasopressor therapy was tapered off the next day. Four days later, the patient was weaned from mechanical ventilation and transferred to the step-down unit. Echocardiogram obtained 48 hours after tPA infusion showed essentially normal left ventricular function (60%-65%), a RVSP of 17 mm Hg and mPAP of 13 mm Hg. The patient’s ProBNP levels markedly decreased to 137 pg/mL. Postextubation, the neurologic examination was at baseline. The Neurology Service recommended temporary treatment with levetiracetam, 1000 mg every 12 hours, and the Hematology Service recommended transitioning to direct oral anticoagulation with follow-up. The patient presented significant clinical and respiratory improvement and was referred for home-based physical rehabilitation as recommended by the physical medicine and rehabilitation service before being discharged.
Case 2
Localized tPA infusion for bilateral PEs via infusion catheters. A 91-year-old male with no history of smoking and a medical history of hypertension, diabetes mellitus, prostate cancer (> 20 years postradiotherapy) and severe osteoarthritis was receiving treatment in the medical ward for medication-induced liver injury secondary to an antibiotic for a urinary tract infection. During the night the patient developed hypotension (86/46 mm Hg), shortness of breath, tachypnea, desaturation, nonradiating retrosternal chest pain, and tachycardia. The hypotension resolved after a 500-mL 0.9 normal saline bolus, and hypoxemia improved with supplemental oxygen via Venturi mask. Chest computed tomography angiography was performed immediately and revealed extensive bilateral acute PE, located most proximally in the right main pulmonary artery (PA) and on the left in the proximal lobar branches, with associated right heart strain. The patient was started on IV heparin with a bolus of 5000 units (80 u/kg) followed by a drip with a partial thromboplastin time goal of 62-103 seconds and transferred to MICU.
Laboratory findings were notable for proBNP that increased from 115 pg/mL to 4470 pg/mL (reference range, < 450 pg/mL for patients aged 75 years) and elevated troponin levels at 218 ng/L to 295 ng/L (reference range, < 22 ng/L), exhibiting chemical evidence of right heart strain. Initial echocardiogram showed mid-right ventricular free wall akinesis with a hypercontractile apex, suggestive of PE (McConnell’s sign) (Figure 3). Interventional Radiology Service was consulted and recommended tPA infusion given that the patient had bilateral PEs and stable blood pressure.

Pulmonary angiogram showed elevated pressures in the right PA of 64/21 mm Hg and the left PA pressures of 63/20 mm Hg. Mechanical disruption of the larger right lower PA thrombus was achieved via a pigtail catheter followed by bilateral catheter bolus infusions of 2 mg tPA (alteplase) and a continuous tPA infusion 0.5 mg/h for 24 hours, in conjunction with a heparin infusion.
After 24 hours of tPA infusion, the catheters were removed, with posttreatment pulmonary angiography demonstrating right and left PA pressures of 42/15 mm Hg and 40/16 mm Hg, respectively. Pre- and postlocalized tPA infusion treatment images are provided for visual comparison (Figure 4). An echocardiogram performed after tPA infusion showed no signs of pulmonary hypertension. The Hematology Service provided recommendations regarding anticoagulation, and after completion of tPA infusion, the patient was transitioned to an unfractioned heparin infusion and subsequently to direct oral anticoagulation prior to transfer back to the medical ward, hemodynamically stable and asymptomatic.

DISCUSSION
PE management can be a straightforward decision when the patient meets criteria for hemodynamic instability, or with small PE burden. In contrast, management can be more challenging in intermediate-risk (submassive) PE when patients remain hemodynamically stable but show signs of cardiopulmonary stress, such as right heart strain, elevated troponins, or increased proBNP levels.2 In these situations, case-by- case evaluation is warranted. A PERT can assess the most beneficial treatment approach by considering factors such as right ventricular dysfunction, hemodynamic status, clot burden, and clinical deterioration despite appropriate anticoagulation. The evidence supporting the benefits these organized teams can provide is growing. These case reports emphasize the need for a multidisciplinary and systematic approach in these complex cases, especially in the management of intermediate-risk PE patients.
Currently, the Veterans Affairs Caribbean Healthcare System does not have an organized PERT, although a multidisciplinary approach was applied in the management of these patients. A systematic, structured team could have decreased time to interventions and alleviated the burden of physician decision-making. Having such a team would streamline the diagnostic pathway for patients presenting from a ward or emergency department with suspected PE.
We present 2 cases of patients found to have a high clot burden from PEs. The patients were initially hemodynamically stable (intermediate-risk PE), but later required systemic or localized thrombolysis due to hemodynamic deterioration despite adequate anticoagulation. Despite similar diagnoses and etiologies, these patients were successfully managed using different approaches, yielding positive outcomes. This reflects the complexity and variability in diagnosing and managing intermediate-risk PE in patients with different comorbidities and clot burden effects. In Case 1, our multidisciplinary approach was obtained via consults to selected services such as interventional radiology, cardiology, and direct involvement of pharmacy. An organized PERT conceivably would have allowed quicker discussions among these services, including hematology, to provide recommendations and collaborative support upon the patient’s arrival to the ED. Additionally, with a PERT team, a systematic approach to these patients could have allowed for an earlier official echocardiogram report for evaluation of right heart strain and develop an adequate therapeutic plan in a timely manner.
In Case 2, consultation with the Interventional Radiology Service yielded a better therapeutic plan, utilizing localized tPA infusion for this older adult patient with increased risk of bleeding with systemic tPA infusion. Having a PERT presents an opportunity to optimize PE management through early recognition, diagnosis, and treatment by institutional consensus from an interdisciplinary team.5,6 These response teams may improve outcomes and prognosis for patients with PE, especially where diagnosis and management is not clear.
The definite etiology of seizure activity in the first case pre- and postcardiac arrest, in the context of no acute intracranial process, remains unknown. Reports have emerged about postreperfusion seizures in acute ischemic stroke, as well as cases of seizures masquerading as PE as the primary presentation. 7,8 However, there were no reports of patients developing seizures post tPA infusion for the treatment of PE. This report may shed light into possible complications secondary to tPA infusion, raising awareness among physicians and encouraging further investigation into its possible etiologies.
CONCLUSIONS
Management of PE can be challenging in patients that meet criteria for intermediate risk. PERTs are a tool that allow for a multidisciplinary, standardized and systematic approach with a diagnostic and treatment algorithm that conceivably would result in a better consensus and therapeutic approach.
Pulmonary embolism (PE) is a common cause of morbidity and mortality in the general population.1 The incidence of PE has been reported to range from 39 to 115 per 100,000 persons per year and has remained stable.2 Although mortality rates have declined, they remain high.3 The clinical presentation is nonspecific, making diagnosis and management challenging. A crucial and difficult aspect in the management of patients with PE is weighing the risks vs benefits of treatment, including thrombolytic therapy and other invasive procedures, which carry inherent risks. These factors have led to the development of PE response teams (PERTs) in some hospitals to implement effective multidisciplinary protocols that facilitate prompt diagnosis, management, and follow-up.4
CASE PRESENTATIONS
Case 1
New onset seizures and cardiac arrest in the treatment of saddle PE. A 54-year-old male who worked as a draftsman and truck driver with a history of hypertension and nephrolithiasis presented to the emergency department (ED) with progressive shortness of breath for 2 weeks. On the morning of ED presentation the patient experienced an episode of severe shortness of breath, lightheadedness, and chest pressure. He reported no other symptoms such as palpitations, nausea, vomiting, abdominal discomfort, or extremity pain or swelling. He reported no recent travel, immunization, falls, or surgery. Upon evaluation, the patient was found to be in no acute distress, with stable vital signs and laboratory results except for 2 elevated results: > 20 μg/mL D-dimer (reference range, < 0.5 μg/mL) and N-terminal prohormone brain natriuretic peptide (proBNP) level, 3455 pg/mL (reference range, < 125 pg/mL for patients aged < 75 years). Electrocardiogram showed T-wave inversions in leads V2 to V4. Imaging revealed a saddle PE and left popliteal deep venous thrombosis (Figure 1). The patient received an anticoagulation loading dose and was started on heparin drip upon admission to the medical intensive care unit (MICU) for further management and monitoring. The Interventional Radiology Service recommended full anticoagulation with consideration of reperfusion therapies if deterioration developed.

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).

indicated by arrows in the pulmonary trunk extending to the left pulmonary artery (A),
and obliterating right pulmonary artery and branches of left pulmonary artery (B).
While in the MICU, point-of-care ultrasound findings were confirmed with official echocardiogram by the cardiology service, which demonstrated a preserved ejection fraction of 60% to 65%, a D-shaped left ventricle with septal wall hypokinesis secondary to right heart strain (Figure 2), a markedly elevated right ventricular systolic pressure (RVSP) of 73 mm Hg, and a mean pulmonary artery pressure (mPAP) of 38 mm Hg. The patient’s blood pressure progressively decreased, heart rate increased, and he required increased oxygen supplementation. The case was discussed with the Pharmacy Service, and since the patient had no contraindications to thrombolytic therapy, the appropriate dosage was calculated and 100 mg intravenous (IV) tissue plasminogen activator (tPA) was administered over 2 hours.

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).

flattening and deviation to left in direction (A) and septal deviation to left with
formation of D-sign (B).
About 40 minutes into tPA infusion, the patient suddenly experienced marked shortness of breath, diaphoresis, and anxiety with seizure-like involuntary movements; as a result, the infusion was stopped. He also had episodes of posturing, mental status decline, and briefly going in and out of consciousness, which lasted about 3 minutes before he lost consciousness and pulse. High-quality advanced cardiac life support was initiated, followed by endotracheal intubation. Despite a secured airway and return of spontaneous circulation, the patient remained hypotensive and continued to have seizure-like activity.
The patient was administered a total of 8 mg of lorazepam, sedated with propofol, initiated at 5 μg/kg/min, titrated to stop seizure activity at 15μg/kg/min, and later maintained at 10 μg/kg/min, for a RASS of -1, and started on norepinephrine 0.1 μg/kg/min for acute stabilization. Head computed tomography without contrast showed no acute intracranial pathology as etiology of seizures. Seizure etiology differential at this time was broad; however, hypoxemia due to PE and medication adverse effects were strongly suspected.
The patient’s condition improved, and vasopressor therapy was tapered off the next day. Four days later, the patient was weaned from mechanical ventilation and transferred to the step-down unit. Echocardiogram obtained 48 hours after tPA infusion showed essentially normal left ventricular function (60%-65%), a RVSP of 17 mm Hg and mPAP of 13 mm Hg. The patient’s ProBNP levels markedly decreased to 137 pg/mL. Postextubation, the neurologic examination was at baseline. The Neurology Service recommended temporary treatment with levetiracetam, 1000 mg every 12 hours, and the Hematology Service recommended transitioning to direct oral anticoagulation with follow-up. The patient presented significant clinical and respiratory improvement and was referred for home-based physical rehabilitation as recommended by the physical medicine and rehabilitation service before being discharged.
Case 2
Localized tPA infusion for bilateral PEs via infusion catheters. A 91-year-old male with no history of smoking and a medical history of hypertension, diabetes mellitus, prostate cancer (> 20 years postradiotherapy) and severe osteoarthritis was receiving treatment in the medical ward for medication-induced liver injury secondary to an antibiotic for a urinary tract infection. During the night the patient developed hypotension (86/46 mm Hg), shortness of breath, tachypnea, desaturation, nonradiating retrosternal chest pain, and tachycardia. The hypotension resolved after a 500-mL 0.9 normal saline bolus, and hypoxemia improved with supplemental oxygen via Venturi mask. Chest computed tomography angiography was performed immediately and revealed extensive bilateral acute PE, located most proximally in the right main pulmonary artery (PA) and on the left in the proximal lobar branches, with associated right heart strain. The patient was started on IV heparin with a bolus of 5000 units (80 u/kg) followed by a drip with a partial thromboplastin time goal of 62-103 seconds and transferred to MICU.
Laboratory findings were notable for proBNP that increased from 115 pg/mL to 4470 pg/mL (reference range, < 450 pg/mL for patients aged 75 years) and elevated troponin levels at 218 ng/L to 295 ng/L (reference range, < 22 ng/L), exhibiting chemical evidence of right heart strain. Initial echocardiogram showed mid-right ventricular free wall akinesis with a hypercontractile apex, suggestive of PE (McConnell’s sign) (Figure 3). Interventional Radiology Service was consulted and recommended tPA infusion given that the patient had bilateral PEs and stable blood pressure.

Pulmonary angiogram showed elevated pressures in the right PA of 64/21 mm Hg and the left PA pressures of 63/20 mm Hg. Mechanical disruption of the larger right lower PA thrombus was achieved via a pigtail catheter followed by bilateral catheter bolus infusions of 2 mg tPA (alteplase) and a continuous tPA infusion 0.5 mg/h for 24 hours, in conjunction with a heparin infusion.
After 24 hours of tPA infusion, the catheters were removed, with posttreatment pulmonary angiography demonstrating right and left PA pressures of 42/15 mm Hg and 40/16 mm Hg, respectively. Pre- and postlocalized tPA infusion treatment images are provided for visual comparison (Figure 4). An echocardiogram performed after tPA infusion showed no signs of pulmonary hypertension. The Hematology Service provided recommendations regarding anticoagulation, and after completion of tPA infusion, the patient was transitioned to an unfractioned heparin infusion and subsequently to direct oral anticoagulation prior to transfer back to the medical ward, hemodynamically stable and asymptomatic.

DISCUSSION
PE management can be a straightforward decision when the patient meets criteria for hemodynamic instability, or with small PE burden. In contrast, management can be more challenging in intermediate-risk (submassive) PE when patients remain hemodynamically stable but show signs of cardiopulmonary stress, such as right heart strain, elevated troponins, or increased proBNP levels.2 In these situations, case-by- case evaluation is warranted. A PERT can assess the most beneficial treatment approach by considering factors such as right ventricular dysfunction, hemodynamic status, clot burden, and clinical deterioration despite appropriate anticoagulation. The evidence supporting the benefits these organized teams can provide is growing. These case reports emphasize the need for a multidisciplinary and systematic approach in these complex cases, especially in the management of intermediate-risk PE patients.
Currently, the Veterans Affairs Caribbean Healthcare System does not have an organized PERT, although a multidisciplinary approach was applied in the management of these patients. A systematic, structured team could have decreased time to interventions and alleviated the burden of physician decision-making. Having such a team would streamline the diagnostic pathway for patients presenting from a ward or emergency department with suspected PE.
We present 2 cases of patients found to have a high clot burden from PEs. The patients were initially hemodynamically stable (intermediate-risk PE), but later required systemic or localized thrombolysis due to hemodynamic deterioration despite adequate anticoagulation. Despite similar diagnoses and etiologies, these patients were successfully managed using different approaches, yielding positive outcomes. This reflects the complexity and variability in diagnosing and managing intermediate-risk PE in patients with different comorbidities and clot burden effects. In Case 1, our multidisciplinary approach was obtained via consults to selected services such as interventional radiology, cardiology, and direct involvement of pharmacy. An organized PERT conceivably would have allowed quicker discussions among these services, including hematology, to provide recommendations and collaborative support upon the patient’s arrival to the ED. Additionally, with a PERT team, a systematic approach to these patients could have allowed for an earlier official echocardiogram report for evaluation of right heart strain and develop an adequate therapeutic plan in a timely manner.
In Case 2, consultation with the Interventional Radiology Service yielded a better therapeutic plan, utilizing localized tPA infusion for this older adult patient with increased risk of bleeding with systemic tPA infusion. Having a PERT presents an opportunity to optimize PE management through early recognition, diagnosis, and treatment by institutional consensus from an interdisciplinary team.5,6 These response teams may improve outcomes and prognosis for patients with PE, especially where diagnosis and management is not clear.
The definite etiology of seizure activity in the first case pre- and postcardiac arrest, in the context of no acute intracranial process, remains unknown. Reports have emerged about postreperfusion seizures in acute ischemic stroke, as well as cases of seizures masquerading as PE as the primary presentation. 7,8 However, there were no reports of patients developing seizures post tPA infusion for the treatment of PE. This report may shed light into possible complications secondary to tPA infusion, raising awareness among physicians and encouraging further investigation into its possible etiologies.
CONCLUSIONS
Management of PE can be challenging in patients that meet criteria for intermediate risk. PERTs are a tool that allow for a multidisciplinary, standardized and systematic approach with a diagnostic and treatment algorithm that conceivably would result in a better consensus and therapeutic approach.
- Thompson BT, Kabrhel C. Epidemiology and pathogenesis of acute pulmonary embolism in adults. UpToDate. Wolters Kluwer. Updated December 4, 2023. Accessed February 26, 2025. https://www.uptodate.cn/contents/epidemiology-and-pathogenesis-of-acute-pulmonary-embolism-in-adults
- Kulka HC, Zeller A, Fornaro J, Wuillemin WA, Konstantinides S, Christ M. Acute pulmonary embolism– its diagnosis and treatment from a multidisciplinary viewpoint. Dtsch Arztebl Int. 2021;118(37):618-628. doi:10.3238/arztebl.m2021.0226
- Zghouzi M, Mwansa H, Shore S, et al. Sex, racial, and geographic disparities in pulmonary embolism-related mortality nationwide. Ann Am Thorac Soc. 2023;20(11):1571-1577. doi:10.1513/AnnalsATS.202302-091OC
- Channick RN. The pulmonary embolism response team: why and how? Semin Respir Crit Care Med. 2021;42(2):212-217. doi:10.1055/s-0041-1722963
- Rosovsky R, Zhao K, Sista A, Rivera-Lebron B, Kabrhel C. Pulmonary embolism response teams: purpose, evidence for efficacy, and future research directions. Res Pract Thromb Haemost. 2019;3(3):315-330. doi:10.1002/rth2.12216
- Glazier JJ, Patiño-Velasquez S, Oviedo C. The pulmonary embolism response team: rationale, operation, and outcomes. Int J Angiol. 2022;31(3):198-202. doi:10.1055/s-0042-1750328
- Lekoubou A, Fox J, Ssentongo P. Incidence and association of reperfusion therapies with poststroke seizures: a systematic review and meta-analysis. Stroke. 2020;51(9):2715-2723.doi:10.1161/STROKEAHA.119. 028899
- Alemany M, Nuñez A, Falip M, et al. Acute symptomatic seizures and epilepsy after mechanical thrombectomy. A prospective long-term follow-up study. Seizure. 2021;89:5-9. doi:10.1016/j.seizure.2021.04.011
- Thompson BT, Kabrhel C. Epidemiology and pathogenesis of acute pulmonary embolism in adults. UpToDate. Wolters Kluwer. Updated December 4, 2023. Accessed February 26, 2025. https://www.uptodate.cn/contents/epidemiology-and-pathogenesis-of-acute-pulmonary-embolism-in-adults
- Kulka HC, Zeller A, Fornaro J, Wuillemin WA, Konstantinides S, Christ M. Acute pulmonary embolism– its diagnosis and treatment from a multidisciplinary viewpoint. Dtsch Arztebl Int. 2021;118(37):618-628. doi:10.3238/arztebl.m2021.0226
- Zghouzi M, Mwansa H, Shore S, et al. Sex, racial, and geographic disparities in pulmonary embolism-related mortality nationwide. Ann Am Thorac Soc. 2023;20(11):1571-1577. doi:10.1513/AnnalsATS.202302-091OC
- Channick RN. The pulmonary embolism response team: why and how? Semin Respir Crit Care Med. 2021;42(2):212-217. doi:10.1055/s-0041-1722963
- Rosovsky R, Zhao K, Sista A, Rivera-Lebron B, Kabrhel C. Pulmonary embolism response teams: purpose, evidence for efficacy, and future research directions. Res Pract Thromb Haemost. 2019;3(3):315-330. doi:10.1002/rth2.12216
- Glazier JJ, Patiño-Velasquez S, Oviedo C. The pulmonary embolism response team: rationale, operation, and outcomes. Int J Angiol. 2022;31(3):198-202. doi:10.1055/s-0042-1750328
- Lekoubou A, Fox J, Ssentongo P. Incidence and association of reperfusion therapies with poststroke seizures: a systematic review and meta-analysis. Stroke. 2020;51(9):2715-2723.doi:10.1161/STROKEAHA.119. 028899
- Alemany M, Nuñez A, Falip M, et al. Acute symptomatic seizures and epilepsy after mechanical thrombectomy. A prospective long-term follow-up study. Seizure. 2021;89:5-9. doi:10.1016/j.seizure.2021.04.011
The Need for a Multidisciplinary Approach for Successful High-Risk Pulmonary Embolism Treatment
The Need for a Multidisciplinary Approach for Successful High-Risk Pulmonary Embolism Treatment
Endoscopic Sleeve Gastroplasty is an Effective Treatment for Obesity in a Veteran With Metabolic and Psychiatric Comorbidities
Endoscopic Sleeve Gastroplasty is an Effective Treatment for Obesity in a Veteran With Metabolic and Psychiatric Comorbidities
Obesity is a growing worldwide epidemic with significant implications for individual health and public health care costs. It is also associated with several medical conditions, including diabetes, cardiovascular disease, cancer, and mental health disorders.1 Comprehensive lifestyle intervention is a first-line therapy for obesity consisting of dietary and exercise interventions. Despite initial success, long-term results and durability of weight loss with lifestyle modifications are limited. 2 Bariatric surgery, including sleeve gastrectomy and gastric bypass surgery, is a more invasive approach that is highly effective in weight loss. However, these operations are not reversible, and patients may not be eligible for or may not desire surgery. Overall, bariatric surgery is widely underutilized, with < 1% of eligible patients ultimately undergoing surgery.3,4
Endoscopic bariatric therapies are increasingly popular procedures that address the need for additional treatments for obesity among individuals who have not had success with lifestyle changes and are not surgical candidates. The most common procedure is the endoscopic sleeve gastroplasty (ESG), which applies full-thickness sutures in the stomach to reduce gastric volume, delay gastric emptying, and limit food intake while keeping the fundus intact compared with sleeve gastrectomy. This procedure is typically considered in patients with body mass index (BMI) ≥ 30, who do not qualify for or do not want traditional bariatric surgery. The literature supports robust outcomes after ESG, with studies demonstrating significant and sustained total body weight loss of up to 14% to 16% at 5 years and significant improvement in ≥ 1 metabolic comorbidities in 80% of patients.5,6 ESG adverse events (AEs) include abdominal pain, nausea, and vomiting that are typically self-limited to 1 week. Rarer but more serious AEs include bleeding, perforation, or infection, and occur in 2% of cases based on large trial data.5,7
Although the weight loss benefits of ESG are well established, to date, there are limited data on the effects of endoscopic bariatric therapies like ESG on mental health conditions. Here, we describe a case of a veteran with a history of mental health disorders that prevented him from completing bariatric surgery. The patient underwent ESG and had a successful clinical course.
CASE PRESENTATION
A 59-year-old male veteran with a medical history of class III obesity (42.4 BMI), obstructive sleep apnea, hypothyroidism, hypertension, type 2 diabetes mellitus, and a large ventral hernia was referred to the MOVE! (Management of Overweight/ Obese Veterans Everywhere!) multidisciplinary high-intensity weight loss program at the US Department of Veterans Affairs (VA) West Los Angeles VA Medical Center (WLAVAMC). His psychiatric history included generalized anxiety disorder, posttraumatic stress disorder (PTSD), and panic disorder, managed by the Psychiatry Service and treated with sertraline 25 mg daily, lorazepam 0.5 mg twice daily, and hydroxyzine 20 mg nightly. He had previously implemented lifestyle changes and attended MOVE! classes and nutrition coaching for 1 year but was unsuccessful in losing weight. He had also tried liraglutide 3 mg daily for weight loss but was unable to tolerate it and reported worsening medication-related anxiety.
The patient declined further weight loss pharmacotherapy and was referred to bariatric surgery. He was scheduled for a surgical sleeve gastrectomy. However, on the day he arrived at the hospital for surgery, he developed severe anxiety and had a panic attack, and it was canceled. Due to his mental health issues, he was no longer comfortable proceeding with surgery and was left without other options for obesity treatment. The veteran was extremely disappointed because the ventral hernia caused significant quality of life impairment, limited his ability to exercise, and caused him embarrassment in public settings. The hernia could not be surgically repaired until there was significant weight loss.
A bariatric endoscopy program within the Division of Gastroenterology was developed and implemented at the WLAVAMC in February 2023 in conjunction with MOVE! The patient was referred for consideration of an endoscopic weight loss procedure. He was determined to be a suitable candidate for ESG based on his BMI being > 40 and personal preference not to proceed with surgery to lose enough weight to qualify for hernia repair. The veteran underwent an endoscopy, which showed normal anatomy and gastric mucosa. ESG was performed in standard fashion (Figure).8 Three vertical lines were made using argon plasma coagulation from the incisura to 2 cm below the gastroesophageal junction along the anterior, posterior, and greater curvature of the stomach to mark the area for endoscopic suture placement. Starting at the incisura, 7 full-thickness sutures were placed to create a volume reduction plication, with preservation of the fundus. The patient did well postprocedure with no immediate or delayed AEs and was discharged home the same day.

Follow-up
The veteran followed a gradual dietary advancement from a clear liquid diet to pureed and soft texture food. The patient’s weight dropped from 359 lbs preprocedure to 304 lbs 6 months postprocedure, a total body weight loss (TWBL) of 15.3%. At 12 months the veteran weighed 299 lbs (16.7% TBWL). He also had notable improvements in metabolic parameters. His systolic blood pressure decreased from ≥ 140 mm Hg to 120 to 130 mm Hg and hemoglobin A1c dropped from 7.0% to 6.3%. Remarkably, his psychiatrist noted significant improvement in his overall mental health. The veteran reported complete cessation of panic attacks since the ESG, improvements in PTSD and anxiety, and was able to discontinue lorazepam and decrease his dose of sertraline to 12.5 mg daily. He reported feeling more energetic and goal-oriented with increased clarity of thought. Perhaps the most significant outcome was that after the 55-lb weight loss at 6 months, the patient was eligible to undergo ventral hernia surgical repair, which had previously contributed to shame and social isolation. This, in turn, improved his quality of life, allowed him to start walking again, up to 8 miles daily, and to feel comfortable again going out in public settings.
DISCUSSION
Bariatric surgeries are an effective method of achieving weight loss and improving obesity-related comorbidities. However, only a small percentage of individuals with obesity are candidates for bariatric surgery. Given the dramatic increase in the prevalence of obesity, other options are needed. Specifically, within the VA, an estimated 80% of veterans are overweight or obese, but only about 500 bariatric surgeries are performed annually.9 With the need for additional weight loss therapies, VA programs are starting to offer endoscopic bariatric procedures as an alternative option. This may be a desirable choice for patients with obesity (BMI > 30), with or without associated metabolic comorbidities, who need more aggressive intervention beyond dietary and lifestyle changes and are either not interested in or not eligible for bariatric surgery or weight loss medications.
Although there is evidence that metabolic comorbidities are associated with obesity, there has been less research on obesity and mental health comorbidities such as depression and anxiety. These psychiatric conditions may even be more common among patients seeking weight loss procedures and more prominent in certain groups such as veterans, which may ultimately exclude these patients from bariatric surgery.10 Prior studies suggest that bariatric surgery can reduce the severity of depression and, to a lesser extent, anxiety symptoms at 2 years following the initial surgery; however, there is limited literature describing the impact of weight loss procedure on panic disorders.11-14 We suspect that a weight loss procedure such as ESG may have indirectly improved the veteran’s mood disorder due to the weight loss it induced, increasing the ability to exercise, quality of sleep, and participation in public settings.
This case highlights a veteran who did not tolerate weight loss medication and had severe anxiety and PTSD that prevented him from going through with bariatric surgery. He then underwent an endoscopic weight loss procedure. The ESG helped him successfully achieve significant weight loss, increase his physical activity, reduce his anxiety and panic disorder, and overall, significantly improve his quality of life. More than 1 year after the procedure, the patient has sustained improvements in his psychiatric and emotional health along with durable weight loss, maintaining > 15% of his total weight lost. Additional studies are needed to further understand the prevalence and long-term outcomes of mental health comorbidities, as well as weight loss outcomes in this group of patients who undergo endoscopic bariatric procedures.
CONCLUSIONS
We describe a case of a veteran with severe obesity and significant psychiatric comorbidities that prevented him from undergoing bariatric surgery, who underwent an ESG. This procedure led to significant weight loss, improvement of metabolic parameters, reduction in anxiety and PTSD, and enhancement of his quality of life. This case emphasizes the unique advantages of ESG and supports the expansion of endoscopic bariatric programs in the VA.
- Ritchie SA, Connell JM. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metab Cardiovasc Dis. 2007;17(4):319-326. doi:10.1016/j.numecd.2006.07.005
- Bray GA, Kim KK, Wilding JPH; World Obesity Federation. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes Rev. 2017;18(7):715-723. doi:10.1111/obr.12551
- Imbus JR, Voils CI, Funk LM. Bariatric surgery barriers: a review using andersen’s model of health services use. Surg Obes Relat Dis. 2018;14(3):404-412. doi:10.1016/j.soard.2017.11.012
- Dawes AJ, Maggard-Gibbons M, Maher AR, et al. Mental health conditions among patients seeking and undergoing bariatric surgery: a meta-analysis. JAMA. 2016;315(2):150- 163. doi:10.1001/jama.2015.18118
- Abu Dayyeh BK, Bazerbachi F, Vargas EJ, et al.. Endoscopic sleeve gastroplasty for treatment of class 1 and 2 obesity (MERIT): a prospective, multicentre, randomised trial. Lancet. 2022;400(10350):441-451. doi:10.1016/S0140-6736(22)01280-6
- Matteo MV, Bove V, Ciasca G, et al. Success predictors of endoscopic sleeve gastroplasty. Obes Surg. 2024;34(5):1496-1504. doi:10.1007/s11695-024-07109-4
- Maselli DB, Hoff AC, Kucera A, et al. Endoscopic sleeve gastroplasty in class III obesity: efficacy, safety, and durability outcomes in 404 consecutive patients. World J Gastrointest Endosc. 2023;15(6):469-479. doi:10.4253/wjge.v15.i6.469
- Kumar N, Abu Dayyeh BK, Lopez-Nava Breviere G, et al. Endoscopic sutured gastroplasty: procedure evolution from first-in-man cases through current technique. Surg Endosc. 2018;32(4):2159-2164. doi:10.1007/s00464-017-5869-2
- Maggard-Gibbons M, Shekelle PG, Girgis MD, et al. Endoscopic Bariatric Interventions versus lifestyle interventions or surgery for weight loss in patients with obesity: a systematic review and meta-analysis. Department of Veterans Affairs (US); 2022. https://www.ncbi.nlm.nih.gov/books/NBK587943/
- Maggard Gibbons MA, Maher AM, Dawes AJ, et al. Psychological clearance for bariatric surgery: a systematic review. VA-ESP project #05-2262014.
- van Hout GC, Verschure SK, van Heck GL. Psychosocial predictors of success following bariatric surgery. Obes Surg. 2005;15(4):552-560. doi:10.1381/0960892053723484
- Hudson JI, Hiripi E, Pope HG Jr, Kessler RC. The prevalence and correlates of eating disorders in the national comorbidity survey replication. Biol Psychiatry. 2007;61(3):348-358. doi:10.1016/j.biopsych.2006.03.040
- Aylward L, Lilly C, Konsor M, et al. How soon do depression and anxiety symptoms improve after bariatric surgery?. Healthcare (Basel). 2023;11(6):862. doi:10.3390/healthcare11060862
- Law S, Dong S, Zhou F, Zheng D, Wang C, Dong Z. Bariatric surgery and mental health outcomes: an umbrella review. Front Endocrinol (Lausanne). 2023;14:1283621. doi:10.3389/fendo.2023.1283621
Obesity is a growing worldwide epidemic with significant implications for individual health and public health care costs. It is also associated with several medical conditions, including diabetes, cardiovascular disease, cancer, and mental health disorders.1 Comprehensive lifestyle intervention is a first-line therapy for obesity consisting of dietary and exercise interventions. Despite initial success, long-term results and durability of weight loss with lifestyle modifications are limited. 2 Bariatric surgery, including sleeve gastrectomy and gastric bypass surgery, is a more invasive approach that is highly effective in weight loss. However, these operations are not reversible, and patients may not be eligible for or may not desire surgery. Overall, bariatric surgery is widely underutilized, with < 1% of eligible patients ultimately undergoing surgery.3,4
Endoscopic bariatric therapies are increasingly popular procedures that address the need for additional treatments for obesity among individuals who have not had success with lifestyle changes and are not surgical candidates. The most common procedure is the endoscopic sleeve gastroplasty (ESG), which applies full-thickness sutures in the stomach to reduce gastric volume, delay gastric emptying, and limit food intake while keeping the fundus intact compared with sleeve gastrectomy. This procedure is typically considered in patients with body mass index (BMI) ≥ 30, who do not qualify for or do not want traditional bariatric surgery. The literature supports robust outcomes after ESG, with studies demonstrating significant and sustained total body weight loss of up to 14% to 16% at 5 years and significant improvement in ≥ 1 metabolic comorbidities in 80% of patients.5,6 ESG adverse events (AEs) include abdominal pain, nausea, and vomiting that are typically self-limited to 1 week. Rarer but more serious AEs include bleeding, perforation, or infection, and occur in 2% of cases based on large trial data.5,7
Although the weight loss benefits of ESG are well established, to date, there are limited data on the effects of endoscopic bariatric therapies like ESG on mental health conditions. Here, we describe a case of a veteran with a history of mental health disorders that prevented him from completing bariatric surgery. The patient underwent ESG and had a successful clinical course.
CASE PRESENTATION
A 59-year-old male veteran with a medical history of class III obesity (42.4 BMI), obstructive sleep apnea, hypothyroidism, hypertension, type 2 diabetes mellitus, and a large ventral hernia was referred to the MOVE! (Management of Overweight/ Obese Veterans Everywhere!) multidisciplinary high-intensity weight loss program at the US Department of Veterans Affairs (VA) West Los Angeles VA Medical Center (WLAVAMC). His psychiatric history included generalized anxiety disorder, posttraumatic stress disorder (PTSD), and panic disorder, managed by the Psychiatry Service and treated with sertraline 25 mg daily, lorazepam 0.5 mg twice daily, and hydroxyzine 20 mg nightly. He had previously implemented lifestyle changes and attended MOVE! classes and nutrition coaching for 1 year but was unsuccessful in losing weight. He had also tried liraglutide 3 mg daily for weight loss but was unable to tolerate it and reported worsening medication-related anxiety.
The patient declined further weight loss pharmacotherapy and was referred to bariatric surgery. He was scheduled for a surgical sleeve gastrectomy. However, on the day he arrived at the hospital for surgery, he developed severe anxiety and had a panic attack, and it was canceled. Due to his mental health issues, he was no longer comfortable proceeding with surgery and was left without other options for obesity treatment. The veteran was extremely disappointed because the ventral hernia caused significant quality of life impairment, limited his ability to exercise, and caused him embarrassment in public settings. The hernia could not be surgically repaired until there was significant weight loss.
A bariatric endoscopy program within the Division of Gastroenterology was developed and implemented at the WLAVAMC in February 2023 in conjunction with MOVE! The patient was referred for consideration of an endoscopic weight loss procedure. He was determined to be a suitable candidate for ESG based on his BMI being > 40 and personal preference not to proceed with surgery to lose enough weight to qualify for hernia repair. The veteran underwent an endoscopy, which showed normal anatomy and gastric mucosa. ESG was performed in standard fashion (Figure).8 Three vertical lines were made using argon plasma coagulation from the incisura to 2 cm below the gastroesophageal junction along the anterior, posterior, and greater curvature of the stomach to mark the area for endoscopic suture placement. Starting at the incisura, 7 full-thickness sutures were placed to create a volume reduction plication, with preservation of the fundus. The patient did well postprocedure with no immediate or delayed AEs and was discharged home the same day.

Follow-up
The veteran followed a gradual dietary advancement from a clear liquid diet to pureed and soft texture food. The patient’s weight dropped from 359 lbs preprocedure to 304 lbs 6 months postprocedure, a total body weight loss (TWBL) of 15.3%. At 12 months the veteran weighed 299 lbs (16.7% TBWL). He also had notable improvements in metabolic parameters. His systolic blood pressure decreased from ≥ 140 mm Hg to 120 to 130 mm Hg and hemoglobin A1c dropped from 7.0% to 6.3%. Remarkably, his psychiatrist noted significant improvement in his overall mental health. The veteran reported complete cessation of panic attacks since the ESG, improvements in PTSD and anxiety, and was able to discontinue lorazepam and decrease his dose of sertraline to 12.5 mg daily. He reported feeling more energetic and goal-oriented with increased clarity of thought. Perhaps the most significant outcome was that after the 55-lb weight loss at 6 months, the patient was eligible to undergo ventral hernia surgical repair, which had previously contributed to shame and social isolation. This, in turn, improved his quality of life, allowed him to start walking again, up to 8 miles daily, and to feel comfortable again going out in public settings.
DISCUSSION
Bariatric surgeries are an effective method of achieving weight loss and improving obesity-related comorbidities. However, only a small percentage of individuals with obesity are candidates for bariatric surgery. Given the dramatic increase in the prevalence of obesity, other options are needed. Specifically, within the VA, an estimated 80% of veterans are overweight or obese, but only about 500 bariatric surgeries are performed annually.9 With the need for additional weight loss therapies, VA programs are starting to offer endoscopic bariatric procedures as an alternative option. This may be a desirable choice for patients with obesity (BMI > 30), with or without associated metabolic comorbidities, who need more aggressive intervention beyond dietary and lifestyle changes and are either not interested in or not eligible for bariatric surgery or weight loss medications.
Although there is evidence that metabolic comorbidities are associated with obesity, there has been less research on obesity and mental health comorbidities such as depression and anxiety. These psychiatric conditions may even be more common among patients seeking weight loss procedures and more prominent in certain groups such as veterans, which may ultimately exclude these patients from bariatric surgery.10 Prior studies suggest that bariatric surgery can reduce the severity of depression and, to a lesser extent, anxiety symptoms at 2 years following the initial surgery; however, there is limited literature describing the impact of weight loss procedure on panic disorders.11-14 We suspect that a weight loss procedure such as ESG may have indirectly improved the veteran’s mood disorder due to the weight loss it induced, increasing the ability to exercise, quality of sleep, and participation in public settings.
This case highlights a veteran who did not tolerate weight loss medication and had severe anxiety and PTSD that prevented him from going through with bariatric surgery. He then underwent an endoscopic weight loss procedure. The ESG helped him successfully achieve significant weight loss, increase his physical activity, reduce his anxiety and panic disorder, and overall, significantly improve his quality of life. More than 1 year after the procedure, the patient has sustained improvements in his psychiatric and emotional health along with durable weight loss, maintaining > 15% of his total weight lost. Additional studies are needed to further understand the prevalence and long-term outcomes of mental health comorbidities, as well as weight loss outcomes in this group of patients who undergo endoscopic bariatric procedures.
CONCLUSIONS
We describe a case of a veteran with severe obesity and significant psychiatric comorbidities that prevented him from undergoing bariatric surgery, who underwent an ESG. This procedure led to significant weight loss, improvement of metabolic parameters, reduction in anxiety and PTSD, and enhancement of his quality of life. This case emphasizes the unique advantages of ESG and supports the expansion of endoscopic bariatric programs in the VA.
Obesity is a growing worldwide epidemic with significant implications for individual health and public health care costs. It is also associated with several medical conditions, including diabetes, cardiovascular disease, cancer, and mental health disorders.1 Comprehensive lifestyle intervention is a first-line therapy for obesity consisting of dietary and exercise interventions. Despite initial success, long-term results and durability of weight loss with lifestyle modifications are limited. 2 Bariatric surgery, including sleeve gastrectomy and gastric bypass surgery, is a more invasive approach that is highly effective in weight loss. However, these operations are not reversible, and patients may not be eligible for or may not desire surgery. Overall, bariatric surgery is widely underutilized, with < 1% of eligible patients ultimately undergoing surgery.3,4
Endoscopic bariatric therapies are increasingly popular procedures that address the need for additional treatments for obesity among individuals who have not had success with lifestyle changes and are not surgical candidates. The most common procedure is the endoscopic sleeve gastroplasty (ESG), which applies full-thickness sutures in the stomach to reduce gastric volume, delay gastric emptying, and limit food intake while keeping the fundus intact compared with sleeve gastrectomy. This procedure is typically considered in patients with body mass index (BMI) ≥ 30, who do not qualify for or do not want traditional bariatric surgery. The literature supports robust outcomes after ESG, with studies demonstrating significant and sustained total body weight loss of up to 14% to 16% at 5 years and significant improvement in ≥ 1 metabolic comorbidities in 80% of patients.5,6 ESG adverse events (AEs) include abdominal pain, nausea, and vomiting that are typically self-limited to 1 week. Rarer but more serious AEs include bleeding, perforation, or infection, and occur in 2% of cases based on large trial data.5,7
Although the weight loss benefits of ESG are well established, to date, there are limited data on the effects of endoscopic bariatric therapies like ESG on mental health conditions. Here, we describe a case of a veteran with a history of mental health disorders that prevented him from completing bariatric surgery. The patient underwent ESG and had a successful clinical course.
CASE PRESENTATION
A 59-year-old male veteran with a medical history of class III obesity (42.4 BMI), obstructive sleep apnea, hypothyroidism, hypertension, type 2 diabetes mellitus, and a large ventral hernia was referred to the MOVE! (Management of Overweight/ Obese Veterans Everywhere!) multidisciplinary high-intensity weight loss program at the US Department of Veterans Affairs (VA) West Los Angeles VA Medical Center (WLAVAMC). His psychiatric history included generalized anxiety disorder, posttraumatic stress disorder (PTSD), and panic disorder, managed by the Psychiatry Service and treated with sertraline 25 mg daily, lorazepam 0.5 mg twice daily, and hydroxyzine 20 mg nightly. He had previously implemented lifestyle changes and attended MOVE! classes and nutrition coaching for 1 year but was unsuccessful in losing weight. He had also tried liraglutide 3 mg daily for weight loss but was unable to tolerate it and reported worsening medication-related anxiety.
The patient declined further weight loss pharmacotherapy and was referred to bariatric surgery. He was scheduled for a surgical sleeve gastrectomy. However, on the day he arrived at the hospital for surgery, he developed severe anxiety and had a panic attack, and it was canceled. Due to his mental health issues, he was no longer comfortable proceeding with surgery and was left without other options for obesity treatment. The veteran was extremely disappointed because the ventral hernia caused significant quality of life impairment, limited his ability to exercise, and caused him embarrassment in public settings. The hernia could not be surgically repaired until there was significant weight loss.
A bariatric endoscopy program within the Division of Gastroenterology was developed and implemented at the WLAVAMC in February 2023 in conjunction with MOVE! The patient was referred for consideration of an endoscopic weight loss procedure. He was determined to be a suitable candidate for ESG based on his BMI being > 40 and personal preference not to proceed with surgery to lose enough weight to qualify for hernia repair. The veteran underwent an endoscopy, which showed normal anatomy and gastric mucosa. ESG was performed in standard fashion (Figure).8 Three vertical lines were made using argon plasma coagulation from the incisura to 2 cm below the gastroesophageal junction along the anterior, posterior, and greater curvature of the stomach to mark the area for endoscopic suture placement. Starting at the incisura, 7 full-thickness sutures were placed to create a volume reduction plication, with preservation of the fundus. The patient did well postprocedure with no immediate or delayed AEs and was discharged home the same day.

Follow-up
The veteran followed a gradual dietary advancement from a clear liquid diet to pureed and soft texture food. The patient’s weight dropped from 359 lbs preprocedure to 304 lbs 6 months postprocedure, a total body weight loss (TWBL) of 15.3%. At 12 months the veteran weighed 299 lbs (16.7% TBWL). He also had notable improvements in metabolic parameters. His systolic blood pressure decreased from ≥ 140 mm Hg to 120 to 130 mm Hg and hemoglobin A1c dropped from 7.0% to 6.3%. Remarkably, his psychiatrist noted significant improvement in his overall mental health. The veteran reported complete cessation of panic attacks since the ESG, improvements in PTSD and anxiety, and was able to discontinue lorazepam and decrease his dose of sertraline to 12.5 mg daily. He reported feeling more energetic and goal-oriented with increased clarity of thought. Perhaps the most significant outcome was that after the 55-lb weight loss at 6 months, the patient was eligible to undergo ventral hernia surgical repair, which had previously contributed to shame and social isolation. This, in turn, improved his quality of life, allowed him to start walking again, up to 8 miles daily, and to feel comfortable again going out in public settings.
DISCUSSION
Bariatric surgeries are an effective method of achieving weight loss and improving obesity-related comorbidities. However, only a small percentage of individuals with obesity are candidates for bariatric surgery. Given the dramatic increase in the prevalence of obesity, other options are needed. Specifically, within the VA, an estimated 80% of veterans are overweight or obese, but only about 500 bariatric surgeries are performed annually.9 With the need for additional weight loss therapies, VA programs are starting to offer endoscopic bariatric procedures as an alternative option. This may be a desirable choice for patients with obesity (BMI > 30), with or without associated metabolic comorbidities, who need more aggressive intervention beyond dietary and lifestyle changes and are either not interested in or not eligible for bariatric surgery or weight loss medications.
Although there is evidence that metabolic comorbidities are associated with obesity, there has been less research on obesity and mental health comorbidities such as depression and anxiety. These psychiatric conditions may even be more common among patients seeking weight loss procedures and more prominent in certain groups such as veterans, which may ultimately exclude these patients from bariatric surgery.10 Prior studies suggest that bariatric surgery can reduce the severity of depression and, to a lesser extent, anxiety symptoms at 2 years following the initial surgery; however, there is limited literature describing the impact of weight loss procedure on panic disorders.11-14 We suspect that a weight loss procedure such as ESG may have indirectly improved the veteran’s mood disorder due to the weight loss it induced, increasing the ability to exercise, quality of sleep, and participation in public settings.
This case highlights a veteran who did not tolerate weight loss medication and had severe anxiety and PTSD that prevented him from going through with bariatric surgery. He then underwent an endoscopic weight loss procedure. The ESG helped him successfully achieve significant weight loss, increase his physical activity, reduce his anxiety and panic disorder, and overall, significantly improve his quality of life. More than 1 year after the procedure, the patient has sustained improvements in his psychiatric and emotional health along with durable weight loss, maintaining > 15% of his total weight lost. Additional studies are needed to further understand the prevalence and long-term outcomes of mental health comorbidities, as well as weight loss outcomes in this group of patients who undergo endoscopic bariatric procedures.
CONCLUSIONS
We describe a case of a veteran with severe obesity and significant psychiatric comorbidities that prevented him from undergoing bariatric surgery, who underwent an ESG. This procedure led to significant weight loss, improvement of metabolic parameters, reduction in anxiety and PTSD, and enhancement of his quality of life. This case emphasizes the unique advantages of ESG and supports the expansion of endoscopic bariatric programs in the VA.
- Ritchie SA, Connell JM. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metab Cardiovasc Dis. 2007;17(4):319-326. doi:10.1016/j.numecd.2006.07.005
- Bray GA, Kim KK, Wilding JPH; World Obesity Federation. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes Rev. 2017;18(7):715-723. doi:10.1111/obr.12551
- Imbus JR, Voils CI, Funk LM. Bariatric surgery barriers: a review using andersen’s model of health services use. Surg Obes Relat Dis. 2018;14(3):404-412. doi:10.1016/j.soard.2017.11.012
- Dawes AJ, Maggard-Gibbons M, Maher AR, et al. Mental health conditions among patients seeking and undergoing bariatric surgery: a meta-analysis. JAMA. 2016;315(2):150- 163. doi:10.1001/jama.2015.18118
- Abu Dayyeh BK, Bazerbachi F, Vargas EJ, et al.. Endoscopic sleeve gastroplasty for treatment of class 1 and 2 obesity (MERIT): a prospective, multicentre, randomised trial. Lancet. 2022;400(10350):441-451. doi:10.1016/S0140-6736(22)01280-6
- Matteo MV, Bove V, Ciasca G, et al. Success predictors of endoscopic sleeve gastroplasty. Obes Surg. 2024;34(5):1496-1504. doi:10.1007/s11695-024-07109-4
- Maselli DB, Hoff AC, Kucera A, et al. Endoscopic sleeve gastroplasty in class III obesity: efficacy, safety, and durability outcomes in 404 consecutive patients. World J Gastrointest Endosc. 2023;15(6):469-479. doi:10.4253/wjge.v15.i6.469
- Kumar N, Abu Dayyeh BK, Lopez-Nava Breviere G, et al. Endoscopic sutured gastroplasty: procedure evolution from first-in-man cases through current technique. Surg Endosc. 2018;32(4):2159-2164. doi:10.1007/s00464-017-5869-2
- Maggard-Gibbons M, Shekelle PG, Girgis MD, et al. Endoscopic Bariatric Interventions versus lifestyle interventions or surgery for weight loss in patients with obesity: a systematic review and meta-analysis. Department of Veterans Affairs (US); 2022. https://www.ncbi.nlm.nih.gov/books/NBK587943/
- Maggard Gibbons MA, Maher AM, Dawes AJ, et al. Psychological clearance for bariatric surgery: a systematic review. VA-ESP project #05-2262014.
- van Hout GC, Verschure SK, van Heck GL. Psychosocial predictors of success following bariatric surgery. Obes Surg. 2005;15(4):552-560. doi:10.1381/0960892053723484
- Hudson JI, Hiripi E, Pope HG Jr, Kessler RC. The prevalence and correlates of eating disorders in the national comorbidity survey replication. Biol Psychiatry. 2007;61(3):348-358. doi:10.1016/j.biopsych.2006.03.040
- Aylward L, Lilly C, Konsor M, et al. How soon do depression and anxiety symptoms improve after bariatric surgery?. Healthcare (Basel). 2023;11(6):862. doi:10.3390/healthcare11060862
- Law S, Dong S, Zhou F, Zheng D, Wang C, Dong Z. Bariatric surgery and mental health outcomes: an umbrella review. Front Endocrinol (Lausanne). 2023;14:1283621. doi:10.3389/fendo.2023.1283621
- Ritchie SA, Connell JM. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metab Cardiovasc Dis. 2007;17(4):319-326. doi:10.1016/j.numecd.2006.07.005
- Bray GA, Kim KK, Wilding JPH; World Obesity Federation. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes Rev. 2017;18(7):715-723. doi:10.1111/obr.12551
- Imbus JR, Voils CI, Funk LM. Bariatric surgery barriers: a review using andersen’s model of health services use. Surg Obes Relat Dis. 2018;14(3):404-412. doi:10.1016/j.soard.2017.11.012
- Dawes AJ, Maggard-Gibbons M, Maher AR, et al. Mental health conditions among patients seeking and undergoing bariatric surgery: a meta-analysis. JAMA. 2016;315(2):150- 163. doi:10.1001/jama.2015.18118
- Abu Dayyeh BK, Bazerbachi F, Vargas EJ, et al.. Endoscopic sleeve gastroplasty for treatment of class 1 and 2 obesity (MERIT): a prospective, multicentre, randomised trial. Lancet. 2022;400(10350):441-451. doi:10.1016/S0140-6736(22)01280-6
- Matteo MV, Bove V, Ciasca G, et al. Success predictors of endoscopic sleeve gastroplasty. Obes Surg. 2024;34(5):1496-1504. doi:10.1007/s11695-024-07109-4
- Maselli DB, Hoff AC, Kucera A, et al. Endoscopic sleeve gastroplasty in class III obesity: efficacy, safety, and durability outcomes in 404 consecutive patients. World J Gastrointest Endosc. 2023;15(6):469-479. doi:10.4253/wjge.v15.i6.469
- Kumar N, Abu Dayyeh BK, Lopez-Nava Breviere G, et al. Endoscopic sutured gastroplasty: procedure evolution from first-in-man cases through current technique. Surg Endosc. 2018;32(4):2159-2164. doi:10.1007/s00464-017-5869-2
- Maggard-Gibbons M, Shekelle PG, Girgis MD, et al. Endoscopic Bariatric Interventions versus lifestyle interventions or surgery for weight loss in patients with obesity: a systematic review and meta-analysis. Department of Veterans Affairs (US); 2022. https://www.ncbi.nlm.nih.gov/books/NBK587943/
- Maggard Gibbons MA, Maher AM, Dawes AJ, et al. Psychological clearance for bariatric surgery: a systematic review. VA-ESP project #05-2262014.
- van Hout GC, Verschure SK, van Heck GL. Psychosocial predictors of success following bariatric surgery. Obes Surg. 2005;15(4):552-560. doi:10.1381/0960892053723484
- Hudson JI, Hiripi E, Pope HG Jr, Kessler RC. The prevalence and correlates of eating disorders in the national comorbidity survey replication. Biol Psychiatry. 2007;61(3):348-358. doi:10.1016/j.biopsych.2006.03.040
- Aylward L, Lilly C, Konsor M, et al. How soon do depression and anxiety symptoms improve after bariatric surgery?. Healthcare (Basel). 2023;11(6):862. doi:10.3390/healthcare11060862
- Law S, Dong S, Zhou F, Zheng D, Wang C, Dong Z. Bariatric surgery and mental health outcomes: an umbrella review. Front Endocrinol (Lausanne). 2023;14:1283621. doi:10.3389/fendo.2023.1283621
Endoscopic Sleeve Gastroplasty is an Effective Treatment for Obesity in a Veteran With Metabolic and Psychiatric Comorbidities
Endoscopic Sleeve Gastroplasty is an Effective Treatment for Obesity in a Veteran With Metabolic and Psychiatric Comorbidities
Diagnostic Testing for Patients With Suspected Ocular Manifestations of Lyme Disease
Diagnostic Testing for Patients With Suspected Ocular Manifestations of Lyme Disease
Since Lyme disease (LD) was first identified in 1975, there has been uncertainty regarding the proper diagnostic testing for suspected cases.1 Challenges involved with ordering Lyme serology testing include navigating tests with an array of false negatives and false positives.2 Confounding these challenges is the wide variety of ocular manifestations of LD, ranging from nonspecific conjunctivitis, cranial palsies, and anterior and posterior segment inflammation.2,3 This article provides diagnostic testing guidelines for eye care clinicians who encounter patients with suspected LD.
BACKGROUND
LD is a bacterial infection caused by the spirochete Borrelia burgdorferi sensu lato complex transmitted by the Ixodes tick genus. There are 4 species of Ixodes ticks that can infect humans, and only 2 have been identified as principal vectors in North America: Ixodes scapularis and Ixodes pacificus. The incidence of LD is on the rise due to increasing global temperatures and expanding geographic borders for the organism. Cases in endemic areas range from 10 per 100,000 people to 50 per 100,000 people.4
LD occurs in 3 stages: early localized (stage 1), early disseminated (stage 2), and late disseminated (stage 3). In stage 1, patients typically present with erythema migrans (EM) rash (bull’s-eye cutaneous rash) and other nonspecific flu-like symptoms of fever, fatigue, and arthralgia. Stage 2 occurs several weeks to months after the initial infection and the infection has invaded other systemic organs, causing conditions like carditis, meningitis, and arthritis. A small subset of patients may progress to stage 3, which is characterized by chronic arthritis and chronic neurological LD.2,4,5 Ocular manifestations have been well-documented in all stages of LD but are more prevalent in early disseminated disease (Table).2,3,6,7

Indications
Recognizing common ocular manifestations associated with LD will allow eye care practitioners to make a timely diagnosis and initiate treatment. The most common ocular findings from LD include conjunctivitis, keratitis, cranial nerve VII palsy, optic neuritis, granulomatous iridocyclitis, and pars planitis.2,6 While retrospective studies suggest that up to 10% of patients with early localized LD have a nonspecific follicular conjunctivitis, those patients are unlikely to present for ocular evaluation. If a patient does present with an acute conjunctivitis, many clinicians do not consider LD in their differential diagnosis.8 In endemic areas, it is important to query patients for additional symptoms that may indicate LD.
Obtaining a complete patient history is vital in aiding a clinician’s decision to order Lyme serology for suspected LD. Epidemiology, history of geography/travel, pet exposure, sexual history (necessary to rule out other conditions [ie, syphilis] to direct appropriate diagnostic testing), and a complete review of systems should be obtained.2,4 LD may mimic other inflammatory autoimmune conditions or infectious diseases such as syphilis.2,5 This can lead to obtaining unnecessary Lyme serologies or failing to diagnose LD.5,7
Diagnostic testing is not indicated when a patient presents with an asymptomatic tick bite (ie, has no fever, malaise, or EM rash) or if a patient does not live in or has not recently traveled to an endemic area because it would be highly unlikely the patient has LD.9,10 If the patient reports known contact with a tick and has a rash suspicious for EM, the diagnosis may be made without confirmatory testing because EM is pathognomonic for LD.7,11 Serologic testing is not recommended in these cases, particularly if there is a single EM lesion, since the lesion often presents prior to development of an immune response leading to seronegative results.8
Lyme serology is necessary if a patient presents with ocular manifestations known to be associated with LD and resides in, or has recently traveled to, an area where LD is endemic (ie, New England, Minnesota, or Wisconsin).7,12 These criteria are of particular importance: about 50% of patients do not recall a tick bite and 20% to 40% do not present with an EM.2,9
Diagnostic Testing
In 2019 the Centers for Disease Control and Prevention (CDC) updated their testing guidelines to the modified 2-tier testing (MTTT) method. The MTTT first recommends a Lyme enzyme immunoassay (EIA), with a second EIA recommended only if the first is positive.12-14 The MTTT method has better sensitivity in early localized LD compared to standard 2-tier testing.9,11,12 The CDC advises against the use of any laboratory serology tests not approved by the US Food and Drug Administration.13 The CDC also advises that LD serology testing should not be performed as a “test for cure,” because even after successful treatment, an individual may still test positive.1,9 Follow-up testing in patients treated early in the disease course (ie, in the setting of EM) may never have an antibody response. In these cases, a negative test should not exclude an LD diagnosis. 9 For patients with suspected neuroborreliosis, a lumbar puncture may not be needed if a patient already has a positive peripheral serology via the MTTT method.12 The Figure depicts a flow chart for the process of ordering and interpreting testing.

Most LD testing, if correlated with clinical disease, is positive after 4 to 6 weeks.9 If an eye disease is noted and the patient has positive Lyme serology, the patient should still be screened for Lyme neuroborreliosis of the central nervous system (CNS). Examination of the fundus for papilledema, review of symptoms of aseptic meningitis, and a careful neurologic examination should be performed.15
If CNS disease is suspected, the patient may need additional CNS testing to support treatment decisions. The 2020 Infectious Diseases Society of America Lyme guidelines recommend to: (1) obtain simultaneous samples of cerebrospinal fluid (CSF) and serum for determination of the CSF:serum antibody index; (2) do not obtain CSF serology without measurement of the CSF:serum antibody index; and (3) do not obtain routine polymerase chain reaction or culture of CSF or serum.15 Once an LD diagnosis is confirmed, the CDC recommends a course of 100 mg of oral doxycycline twice daily for 14 to 21 days or an antimicrobial equivalent (eg, amoxicillin) if doxycycline is contraindicated. However, the antimicrobial dosage may vary depending on the stage of LD.11 Patients with confirmed neuroborreliosis should be admitted for 14 days of intravenous ceftriaxone or intravenous penicillin.2
CONCLUSIONS
To ensure timely diagnosis and treatment, eye care clinicians should be familiar with the appropriate diagnostic testing for patients suspected to have ocular manifestations of LD. For patients with suspected LD and a high pretest probability, clinicians should obtain a first-order Lyme EIA.12-14 If testing confirms LD, refer the patient to an infectious disease specialist for antimicrobial treatment and additional management.11
- Kullberg BJ, Vrijmoeth HD, van de Schoor F, Hovius JW. Lyme borreliosis: diagnosis and management. BMJ. 2020;369:m1041. doi:10.1136/bmj.m1041
- Zaidman GW. The ocular manifestations of Lyme disease. Int Ophthalmol Clin. 1993;33(1):9-22. doi:10.1097/00004397-199303310-00004
- Lesser RL. Ocular manifestations of Lyme disease. Am J Med. 1995; 98(4A):60S-62S. doi:10.1016/s0002-9343(99)80045-x
- Mead P. Epidemiology of Lyme disease. Infect Dis Clin North Am. 2022;36(3):495-521. doi:10.1016/j.idc.2022.03.004
- Klig JE. Ophthalmologic complications of systemic disease. Emerg Med Clin North Am. 2008;26(1):217-viii. doi:10.1016/j.emc.2007.10.003
- Raja H, Starr MR, Bakri SJ. Ocular manifestations of tickborne diseases. Surv Ophthalmol. 2016;61(6):726-744. doi:10.1016/j.survophthal.2016.03.011
- Mora P, Carta A. Ocular manifestations of Lyme borreliosis in Europe. Int J Med Sci. 2009;6(3):124-125. doi:10.7150/ijms.6.124
- Mikkilä HO, Seppälä IJ, Viljanen MK, Peltomaa MP, Karma A. The expanding clinical spectrum of ocular lyme borreliosis. Ophthalmology. 2000;107(3):581-587. doi:10.1016/s0161-6420(99)00128-1
- Schriefer ME. Lyme disease diagnosis: serology. Clin Lab Med. 2015;35(4):797-814. doi:10.1016/j.cll.2015.08.001
- Beck AR, Marx GE, Hinckley AF. Diagnosis, treatment, and prevention practices for Lyme disease by clinicians, United States, 2013-2015. Public Health Rep. 2021;136(5):609- 617. doi:10.1177/0033354920973235
- Wormser GP, McKenna D, Nowakowski J. Management approaches for suspected and established Lyme disease used at the Lyme disease diagnostic center. Wien Klin Wochenschr. 2018;130(15-16):463-467. doi:10.1007/s00508-015-0936-y
- Kobayashi T, Auwaerter PG. Diagnostic testing for Lyme disease. Infect Dis Clin North Am. 2022;36(3):605-620. doi:10.1016/j.idc.2022.04.001
- Mead P, Petersen J, Hinckley A. Updated CDC recommendation for serologic diagnosis of Lyme disease. MMWR Morb Mortal Wkly Rep. 2019;68(32):703. doi:10.15585/mmwr.mm6832a4
- Association of Public Health Laboratories. Suggested Reporting Language, Interpretation and Guidance Regarding Lyme Disease Serologic Test Results. April 2024. Accessed December 3, 2024. https://www.aphl.org/aboutAPHL/publications/Documents/ID-2024-Lyme-Disease-Serologic-Testing-Reporting.pdf
- Lantos PM, Rumbaugh P, Bockenstedt L, et al. Clinical practice guidelines by the Infectious Diseases Society of America (IDSA), American Academy of Neurology (AAN), and American College of Rheumatology (ACR): 2020 guidelines for the prevention, diagnosis and treatment of Lyme Disease. Clin Infect Dis. 2021;72(1):e1-e48. doi:10.1093/cid/ciaa1215
Since Lyme disease (LD) was first identified in 1975, there has been uncertainty regarding the proper diagnostic testing for suspected cases.1 Challenges involved with ordering Lyme serology testing include navigating tests with an array of false negatives and false positives.2 Confounding these challenges is the wide variety of ocular manifestations of LD, ranging from nonspecific conjunctivitis, cranial palsies, and anterior and posterior segment inflammation.2,3 This article provides diagnostic testing guidelines for eye care clinicians who encounter patients with suspected LD.
BACKGROUND
LD is a bacterial infection caused by the spirochete Borrelia burgdorferi sensu lato complex transmitted by the Ixodes tick genus. There are 4 species of Ixodes ticks that can infect humans, and only 2 have been identified as principal vectors in North America: Ixodes scapularis and Ixodes pacificus. The incidence of LD is on the rise due to increasing global temperatures and expanding geographic borders for the organism. Cases in endemic areas range from 10 per 100,000 people to 50 per 100,000 people.4
LD occurs in 3 stages: early localized (stage 1), early disseminated (stage 2), and late disseminated (stage 3). In stage 1, patients typically present with erythema migrans (EM) rash (bull’s-eye cutaneous rash) and other nonspecific flu-like symptoms of fever, fatigue, and arthralgia. Stage 2 occurs several weeks to months after the initial infection and the infection has invaded other systemic organs, causing conditions like carditis, meningitis, and arthritis. A small subset of patients may progress to stage 3, which is characterized by chronic arthritis and chronic neurological LD.2,4,5 Ocular manifestations have been well-documented in all stages of LD but are more prevalent in early disseminated disease (Table).2,3,6,7

Indications
Recognizing common ocular manifestations associated with LD will allow eye care practitioners to make a timely diagnosis and initiate treatment. The most common ocular findings from LD include conjunctivitis, keratitis, cranial nerve VII palsy, optic neuritis, granulomatous iridocyclitis, and pars planitis.2,6 While retrospective studies suggest that up to 10% of patients with early localized LD have a nonspecific follicular conjunctivitis, those patients are unlikely to present for ocular evaluation. If a patient does present with an acute conjunctivitis, many clinicians do not consider LD in their differential diagnosis.8 In endemic areas, it is important to query patients for additional symptoms that may indicate LD.
Obtaining a complete patient history is vital in aiding a clinician’s decision to order Lyme serology for suspected LD. Epidemiology, history of geography/travel, pet exposure, sexual history (necessary to rule out other conditions [ie, syphilis] to direct appropriate diagnostic testing), and a complete review of systems should be obtained.2,4 LD may mimic other inflammatory autoimmune conditions or infectious diseases such as syphilis.2,5 This can lead to obtaining unnecessary Lyme serologies or failing to diagnose LD.5,7
Diagnostic testing is not indicated when a patient presents with an asymptomatic tick bite (ie, has no fever, malaise, or EM rash) or if a patient does not live in or has not recently traveled to an endemic area because it would be highly unlikely the patient has LD.9,10 If the patient reports known contact with a tick and has a rash suspicious for EM, the diagnosis may be made without confirmatory testing because EM is pathognomonic for LD.7,11 Serologic testing is not recommended in these cases, particularly if there is a single EM lesion, since the lesion often presents prior to development of an immune response leading to seronegative results.8
Lyme serology is necessary if a patient presents with ocular manifestations known to be associated with LD and resides in, or has recently traveled to, an area where LD is endemic (ie, New England, Minnesota, or Wisconsin).7,12 These criteria are of particular importance: about 50% of patients do not recall a tick bite and 20% to 40% do not present with an EM.2,9
Diagnostic Testing
In 2019 the Centers for Disease Control and Prevention (CDC) updated their testing guidelines to the modified 2-tier testing (MTTT) method. The MTTT first recommends a Lyme enzyme immunoassay (EIA), with a second EIA recommended only if the first is positive.12-14 The MTTT method has better sensitivity in early localized LD compared to standard 2-tier testing.9,11,12 The CDC advises against the use of any laboratory serology tests not approved by the US Food and Drug Administration.13 The CDC also advises that LD serology testing should not be performed as a “test for cure,” because even after successful treatment, an individual may still test positive.1,9 Follow-up testing in patients treated early in the disease course (ie, in the setting of EM) may never have an antibody response. In these cases, a negative test should not exclude an LD diagnosis. 9 For patients with suspected neuroborreliosis, a lumbar puncture may not be needed if a patient already has a positive peripheral serology via the MTTT method.12 The Figure depicts a flow chart for the process of ordering and interpreting testing.

Most LD testing, if correlated with clinical disease, is positive after 4 to 6 weeks.9 If an eye disease is noted and the patient has positive Lyme serology, the patient should still be screened for Lyme neuroborreliosis of the central nervous system (CNS). Examination of the fundus for papilledema, review of symptoms of aseptic meningitis, and a careful neurologic examination should be performed.15
If CNS disease is suspected, the patient may need additional CNS testing to support treatment decisions. The 2020 Infectious Diseases Society of America Lyme guidelines recommend to: (1) obtain simultaneous samples of cerebrospinal fluid (CSF) and serum for determination of the CSF:serum antibody index; (2) do not obtain CSF serology without measurement of the CSF:serum antibody index; and (3) do not obtain routine polymerase chain reaction or culture of CSF or serum.15 Once an LD diagnosis is confirmed, the CDC recommends a course of 100 mg of oral doxycycline twice daily for 14 to 21 days or an antimicrobial equivalent (eg, amoxicillin) if doxycycline is contraindicated. However, the antimicrobial dosage may vary depending on the stage of LD.11 Patients with confirmed neuroborreliosis should be admitted for 14 days of intravenous ceftriaxone or intravenous penicillin.2
CONCLUSIONS
To ensure timely diagnosis and treatment, eye care clinicians should be familiar with the appropriate diagnostic testing for patients suspected to have ocular manifestations of LD. For patients with suspected LD and a high pretest probability, clinicians should obtain a first-order Lyme EIA.12-14 If testing confirms LD, refer the patient to an infectious disease specialist for antimicrobial treatment and additional management.11
Since Lyme disease (LD) was first identified in 1975, there has been uncertainty regarding the proper diagnostic testing for suspected cases.1 Challenges involved with ordering Lyme serology testing include navigating tests with an array of false negatives and false positives.2 Confounding these challenges is the wide variety of ocular manifestations of LD, ranging from nonspecific conjunctivitis, cranial palsies, and anterior and posterior segment inflammation.2,3 This article provides diagnostic testing guidelines for eye care clinicians who encounter patients with suspected LD.
BACKGROUND
LD is a bacterial infection caused by the spirochete Borrelia burgdorferi sensu lato complex transmitted by the Ixodes tick genus. There are 4 species of Ixodes ticks that can infect humans, and only 2 have been identified as principal vectors in North America: Ixodes scapularis and Ixodes pacificus. The incidence of LD is on the rise due to increasing global temperatures and expanding geographic borders for the organism. Cases in endemic areas range from 10 per 100,000 people to 50 per 100,000 people.4
LD occurs in 3 stages: early localized (stage 1), early disseminated (stage 2), and late disseminated (stage 3). In stage 1, patients typically present with erythema migrans (EM) rash (bull’s-eye cutaneous rash) and other nonspecific flu-like symptoms of fever, fatigue, and arthralgia. Stage 2 occurs several weeks to months after the initial infection and the infection has invaded other systemic organs, causing conditions like carditis, meningitis, and arthritis. A small subset of patients may progress to stage 3, which is characterized by chronic arthritis and chronic neurological LD.2,4,5 Ocular manifestations have been well-documented in all stages of LD but are more prevalent in early disseminated disease (Table).2,3,6,7

Indications
Recognizing common ocular manifestations associated with LD will allow eye care practitioners to make a timely diagnosis and initiate treatment. The most common ocular findings from LD include conjunctivitis, keratitis, cranial nerve VII palsy, optic neuritis, granulomatous iridocyclitis, and pars planitis.2,6 While retrospective studies suggest that up to 10% of patients with early localized LD have a nonspecific follicular conjunctivitis, those patients are unlikely to present for ocular evaluation. If a patient does present with an acute conjunctivitis, many clinicians do not consider LD in their differential diagnosis.8 In endemic areas, it is important to query patients for additional symptoms that may indicate LD.
Obtaining a complete patient history is vital in aiding a clinician’s decision to order Lyme serology for suspected LD. Epidemiology, history of geography/travel, pet exposure, sexual history (necessary to rule out other conditions [ie, syphilis] to direct appropriate diagnostic testing), and a complete review of systems should be obtained.2,4 LD may mimic other inflammatory autoimmune conditions or infectious diseases such as syphilis.2,5 This can lead to obtaining unnecessary Lyme serologies or failing to diagnose LD.5,7
Diagnostic testing is not indicated when a patient presents with an asymptomatic tick bite (ie, has no fever, malaise, or EM rash) or if a patient does not live in or has not recently traveled to an endemic area because it would be highly unlikely the patient has LD.9,10 If the patient reports known contact with a tick and has a rash suspicious for EM, the diagnosis may be made without confirmatory testing because EM is pathognomonic for LD.7,11 Serologic testing is not recommended in these cases, particularly if there is a single EM lesion, since the lesion often presents prior to development of an immune response leading to seronegative results.8
Lyme serology is necessary if a patient presents with ocular manifestations known to be associated with LD and resides in, or has recently traveled to, an area where LD is endemic (ie, New England, Minnesota, or Wisconsin).7,12 These criteria are of particular importance: about 50% of patients do not recall a tick bite and 20% to 40% do not present with an EM.2,9
Diagnostic Testing
In 2019 the Centers for Disease Control and Prevention (CDC) updated their testing guidelines to the modified 2-tier testing (MTTT) method. The MTTT first recommends a Lyme enzyme immunoassay (EIA), with a second EIA recommended only if the first is positive.12-14 The MTTT method has better sensitivity in early localized LD compared to standard 2-tier testing.9,11,12 The CDC advises against the use of any laboratory serology tests not approved by the US Food and Drug Administration.13 The CDC also advises that LD serology testing should not be performed as a “test for cure,” because even after successful treatment, an individual may still test positive.1,9 Follow-up testing in patients treated early in the disease course (ie, in the setting of EM) may never have an antibody response. In these cases, a negative test should not exclude an LD diagnosis. 9 For patients with suspected neuroborreliosis, a lumbar puncture may not be needed if a patient already has a positive peripheral serology via the MTTT method.12 The Figure depicts a flow chart for the process of ordering and interpreting testing.

Most LD testing, if correlated with clinical disease, is positive after 4 to 6 weeks.9 If an eye disease is noted and the patient has positive Lyme serology, the patient should still be screened for Lyme neuroborreliosis of the central nervous system (CNS). Examination of the fundus for papilledema, review of symptoms of aseptic meningitis, and a careful neurologic examination should be performed.15
If CNS disease is suspected, the patient may need additional CNS testing to support treatment decisions. The 2020 Infectious Diseases Society of America Lyme guidelines recommend to: (1) obtain simultaneous samples of cerebrospinal fluid (CSF) and serum for determination of the CSF:serum antibody index; (2) do not obtain CSF serology without measurement of the CSF:serum antibody index; and (3) do not obtain routine polymerase chain reaction or culture of CSF or serum.15 Once an LD diagnosis is confirmed, the CDC recommends a course of 100 mg of oral doxycycline twice daily for 14 to 21 days or an antimicrobial equivalent (eg, amoxicillin) if doxycycline is contraindicated. However, the antimicrobial dosage may vary depending on the stage of LD.11 Patients with confirmed neuroborreliosis should be admitted for 14 days of intravenous ceftriaxone or intravenous penicillin.2
CONCLUSIONS
To ensure timely diagnosis and treatment, eye care clinicians should be familiar with the appropriate diagnostic testing for patients suspected to have ocular manifestations of LD. For patients with suspected LD and a high pretest probability, clinicians should obtain a first-order Lyme EIA.12-14 If testing confirms LD, refer the patient to an infectious disease specialist for antimicrobial treatment and additional management.11
- Kullberg BJ, Vrijmoeth HD, van de Schoor F, Hovius JW. Lyme borreliosis: diagnosis and management. BMJ. 2020;369:m1041. doi:10.1136/bmj.m1041
- Zaidman GW. The ocular manifestations of Lyme disease. Int Ophthalmol Clin. 1993;33(1):9-22. doi:10.1097/00004397-199303310-00004
- Lesser RL. Ocular manifestations of Lyme disease. Am J Med. 1995; 98(4A):60S-62S. doi:10.1016/s0002-9343(99)80045-x
- Mead P. Epidemiology of Lyme disease. Infect Dis Clin North Am. 2022;36(3):495-521. doi:10.1016/j.idc.2022.03.004
- Klig JE. Ophthalmologic complications of systemic disease. Emerg Med Clin North Am. 2008;26(1):217-viii. doi:10.1016/j.emc.2007.10.003
- Raja H, Starr MR, Bakri SJ. Ocular manifestations of tickborne diseases. Surv Ophthalmol. 2016;61(6):726-744. doi:10.1016/j.survophthal.2016.03.011
- Mora P, Carta A. Ocular manifestations of Lyme borreliosis in Europe. Int J Med Sci. 2009;6(3):124-125. doi:10.7150/ijms.6.124
- Mikkilä HO, Seppälä IJ, Viljanen MK, Peltomaa MP, Karma A. The expanding clinical spectrum of ocular lyme borreliosis. Ophthalmology. 2000;107(3):581-587. doi:10.1016/s0161-6420(99)00128-1
- Schriefer ME. Lyme disease diagnosis: serology. Clin Lab Med. 2015;35(4):797-814. doi:10.1016/j.cll.2015.08.001
- Beck AR, Marx GE, Hinckley AF. Diagnosis, treatment, and prevention practices for Lyme disease by clinicians, United States, 2013-2015. Public Health Rep. 2021;136(5):609- 617. doi:10.1177/0033354920973235
- Wormser GP, McKenna D, Nowakowski J. Management approaches for suspected and established Lyme disease used at the Lyme disease diagnostic center. Wien Klin Wochenschr. 2018;130(15-16):463-467. doi:10.1007/s00508-015-0936-y
- Kobayashi T, Auwaerter PG. Diagnostic testing for Lyme disease. Infect Dis Clin North Am. 2022;36(3):605-620. doi:10.1016/j.idc.2022.04.001
- Mead P, Petersen J, Hinckley A. Updated CDC recommendation for serologic diagnosis of Lyme disease. MMWR Morb Mortal Wkly Rep. 2019;68(32):703. doi:10.15585/mmwr.mm6832a4
- Association of Public Health Laboratories. Suggested Reporting Language, Interpretation and Guidance Regarding Lyme Disease Serologic Test Results. April 2024. Accessed December 3, 2024. https://www.aphl.org/aboutAPHL/publications/Documents/ID-2024-Lyme-Disease-Serologic-Testing-Reporting.pdf
- Lantos PM, Rumbaugh P, Bockenstedt L, et al. Clinical practice guidelines by the Infectious Diseases Society of America (IDSA), American Academy of Neurology (AAN), and American College of Rheumatology (ACR): 2020 guidelines for the prevention, diagnosis and treatment of Lyme Disease. Clin Infect Dis. 2021;72(1):e1-e48. doi:10.1093/cid/ciaa1215
- Kullberg BJ, Vrijmoeth HD, van de Schoor F, Hovius JW. Lyme borreliosis: diagnosis and management. BMJ. 2020;369:m1041. doi:10.1136/bmj.m1041
- Zaidman GW. The ocular manifestations of Lyme disease. Int Ophthalmol Clin. 1993;33(1):9-22. doi:10.1097/00004397-199303310-00004
- Lesser RL. Ocular manifestations of Lyme disease. Am J Med. 1995; 98(4A):60S-62S. doi:10.1016/s0002-9343(99)80045-x
- Mead P. Epidemiology of Lyme disease. Infect Dis Clin North Am. 2022;36(3):495-521. doi:10.1016/j.idc.2022.03.004
- Klig JE. Ophthalmologic complications of systemic disease. Emerg Med Clin North Am. 2008;26(1):217-viii. doi:10.1016/j.emc.2007.10.003
- Raja H, Starr MR, Bakri SJ. Ocular manifestations of tickborne diseases. Surv Ophthalmol. 2016;61(6):726-744. doi:10.1016/j.survophthal.2016.03.011
- Mora P, Carta A. Ocular manifestations of Lyme borreliosis in Europe. Int J Med Sci. 2009;6(3):124-125. doi:10.7150/ijms.6.124
- Mikkilä HO, Seppälä IJ, Viljanen MK, Peltomaa MP, Karma A. The expanding clinical spectrum of ocular lyme borreliosis. Ophthalmology. 2000;107(3):581-587. doi:10.1016/s0161-6420(99)00128-1
- Schriefer ME. Lyme disease diagnosis: serology. Clin Lab Med. 2015;35(4):797-814. doi:10.1016/j.cll.2015.08.001
- Beck AR, Marx GE, Hinckley AF. Diagnosis, treatment, and prevention practices for Lyme disease by clinicians, United States, 2013-2015. Public Health Rep. 2021;136(5):609- 617. doi:10.1177/0033354920973235
- Wormser GP, McKenna D, Nowakowski J. Management approaches for suspected and established Lyme disease used at the Lyme disease diagnostic center. Wien Klin Wochenschr. 2018;130(15-16):463-467. doi:10.1007/s00508-015-0936-y
- Kobayashi T, Auwaerter PG. Diagnostic testing for Lyme disease. Infect Dis Clin North Am. 2022;36(3):605-620. doi:10.1016/j.idc.2022.04.001
- Mead P, Petersen J, Hinckley A. Updated CDC recommendation for serologic diagnosis of Lyme disease. MMWR Morb Mortal Wkly Rep. 2019;68(32):703. doi:10.15585/mmwr.mm6832a4
- Association of Public Health Laboratories. Suggested Reporting Language, Interpretation and Guidance Regarding Lyme Disease Serologic Test Results. April 2024. Accessed December 3, 2024. https://www.aphl.org/aboutAPHL/publications/Documents/ID-2024-Lyme-Disease-Serologic-Testing-Reporting.pdf
- Lantos PM, Rumbaugh P, Bockenstedt L, et al. Clinical practice guidelines by the Infectious Diseases Society of America (IDSA), American Academy of Neurology (AAN), and American College of Rheumatology (ACR): 2020 guidelines for the prevention, diagnosis and treatment of Lyme Disease. Clin Infect Dis. 2021;72(1):e1-e48. doi:10.1093/cid/ciaa1215
Diagnostic Testing for Patients With Suspected Ocular Manifestations of Lyme Disease
Diagnostic Testing for Patients With Suspected Ocular Manifestations of Lyme Disease
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options

Continuous Glucose Monitoring vs Fingerstick Monitoring for Hemoglobin A1c Control in Veterans
In the United States, 1 in 4 veterans lives with type 2 diabetes mellitus (T2DM), double the rate of the general population.1 Medications are important for the treatment of T2DM and preventing complications that may develop if not properly managed. Common classes of medications for diabetes include biguanides, sodiumglucose cotransporter-2 (SGLT-2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase-4 inhibitors, thiazolidinediones, sulfonylureas, and insulin. The selection of treatment depends on patient-specific factors including hemoglobin A1c (HbA1c) goal, potential effects on weight, risk of hypoglycemia, and comorbidities such as atherosclerotic cardiovascular disease, heart failure, or chronic kidney disease.2
HbA1c level reflects the mean blood glucose over the previous 3 months and serves as an indication of diabetes control. In patients with diabetes, it is recommended that HbA1c is checked ≥ 2 times annually for those meeting treatment goals, or more often if the patient needs to adjust medications to reach their HbA1c goal. The goal HbA1c level for most adults with diabetes is < 7%.3 This target can be adjusted based on age, comorbidities, or other patient factors. It is generally recommended that frequent glucose monitoring is not needed for patients with T2DM who are only taking oral agents and/or noninsulin injectables. However, for those on insulin regimens, it is advised to monitor glucose closely, with even more frequent testing for those with an intensive insulin regimen.3
Most patients with diabetes use fingerstick testing to self-monitor their blood glucose. However, continuous glucose monitors (CGMs) are becoming widely available and offer a solution to those who do not have the ability to check their glucose multiple times a day and throughout the night. The American Diabetes Association recommends that the frequency and timing of blood glucose monitoring, or the consideration of CGM use, should be based on the specific needs and goals of each patient.3 Guidelines also encourage those on intensive insulin regimens to check glucose levels when fasting, before and after meals, prior to exercise, and when hypoglycemia or hyperglycemia is suspected. Frequent testing can become a burden for patients, whereas once a CGM sensor is placed, it can be worn for 10 to 14 days. CGMs are also capable of transmitting glucose readings every 1 to 15 minutes to a receiver or mobile phone, allowing for further adaptability to a patient’s lifestyle.3
CGMs work by measuring the interstitial glucose with a small filament sensor and have demonstrated accuracy when compared to blood glucose readings. The ability of a CGM to accurately reflect HbA1c levels is a potential benefit, reducing the need for frequent testing to determine whether patients have achieved glycemic control.4 Another benefit of a CGM is the ease of sharing data; patient accounts can be linked with a health care site, allowing clinicians to access glucose data even if the patient is not able to be seen in clinic. This allows health care practitioners (HCPs) to more efficiently tailor medications and optimize regimens based on patient-specific data that was not available by fingerstick testing alone.
Vigersky and colleagues provided one of the few studies on the long-term effects of CGM in patients managing T2DM through diet and exercise alone, oral medications, or basal insulin and found significant improvement in HbA1c after only 3 months of CGM use.5
An important aspect of CGM use is the ability to alert the patient to low blood glucose readings, which can be dangerous for those unaware of hypoglycemia. Many studies have investigated the association between CGM use and acute metabolic events, demonstrating the potential for CGMs to prevent these emergencies. Karter and colleagues found a reduction in emergency department visits and hospitalizations for hypoglycemia associated with the use of CGMs in patients with type 1 DM (T1DM) and T2DM.6
There have been few studies on the use of CGM in veterans. Langford and colleagues found a reduction of HbA1c among veterans with T2DM using CGMs. However, > 50% of the patients in the study were not receiving insulin therapy, which currently is a US Department of Veterans Affairs (VA) CGM criteria for use.7 While current studies provide evidence that supports improvement in HbA1c levels with the use of CGMs, data are lacking for veterans with T2DM taking insulin. There is also minimal research that indicates which patients should be offered a CGM. The objective of this study was to evaluate glycemic control in veterans with T2DM on insulin using a CGM who were previously monitoring blood glucose with fingerstick testing. Secondary endpoints were explored to identify subgroups that may benefit from a CGM and other potential advantages of CGMs.
Methods
This was a retrospective study of veterans who transitioned from fingerstick testing to CGM for glucose monitoring. Each veteran served as their own control to limit confounding variables when comparing HbA1c levels. Veterans with an active or suspended CGM order were identified by reviewing outpatient prescription data. All data collection and analysis were done within the Veterans Affairs Sioux Falls Health Care System.
The primary objective of this study was to assess glycemic control from the use of a CGM by evaluating the change in HbA1c after transitioning to a CGM compared to the change in HbA1c with standard fingerstick monitoring. Three HbA1c values were collected for each veteran: before starting CGM, at initiation, and following CGM initiation (Figure 1). CGM start date was the date the CGM prescription order was placed. The pre-CGM HbA1c level was ≥ 1 year prior to the CGM start date or the HbA1c closest to 1 year. The start CGM HbA1c level was within 3 months before or 1 month after the CGM start date. The post-CGM HbA1c level was the most recent time of data collection and at least 6 months after CGM initiation. The change in HbA1c from fingerstick glucose monitoring was the difference between the pre-CGM and start CGM values. The change in HbA1c from use of a CGM was the difference between start CGM and post-CGM values, which were compared to determine HbA1c reduction from CGM use.

This study also explored secondary outcomes including changes in HbA1c by prescriber type, differences in HbA1c reduction based on age, and changes in diabetes medications, including total daily insulin doses. For secondary outcomes, diabetes medication information and the total daily dose of insulin were gathered at the start of CGM use and at the time of data collection. The most recent CGM order prescribed was also collected.
Veterans were included if they were aged ≥ 18 years, had an active order for a CGM, T2DM diagnosis, an insulin prescription, and previously used test strips for glucose monitoring. Patients with T1DM, those who accessed CGMs or care in the community, and patients without HbA1c values pre-CGM, were excluded.
Statistical Analysis
The primary endpoint of change in HbA1c level before and after CGM use was compared using a paired t test. A 0.5% change in HbA1c was considered clinically significant, as suggested in other studies.8,9P < .05 was considered statistically significant. Analysis for continuous baseline characteristics, including age and total daily insulin, were reported as mean values. Nominal characteristics including sex, race, diabetes medications, and prescriber type are reported as percentages.
Results
A total of 402 veterans were identified with an active CGM at the time of initial data collection in January 2024 and 175 met inclusion criteria. Sixty patients were excluded due to diabetes managed through a community HCP, 38 had T1DM, and 129 lacked HbA1c within all specified time periods. The 175 veterans were randomized, and 150 were selected to perform a chart review for data collection. The mean age was 70 years, most were male and identified as White (Table 1). The majority of patients were managed by endocrinology (53.3%), followed by primary care (24.0%), and pharmacy (22.7%) (Table 2). The mean baseline HbA1c was 8.6%.


The difference in HbA1c before and after use of CGM was -0.97% (P = .0001). Prior to use of a CGM the change in HbA1c was minimal, with an increase of 0.003% with the use of selfmonitoring glucose. After use of a CGM, HbA1c decreased by 0.971%. This reduction in HbA1c would also be considered clinically significant as the change was > 0.5%. The mean pre-, at start, and post-CGM HbA1c levels were 8.6%, 8.6%, and 7.6%, respectively (Figure 2). Pharmacy prescribers had a 0.7% reduction in HbA1c post-CGM, the least of all prescribers. While most age groups saw a reduction in HbA1c, those aged ≥ 80 years had an increase of 0.18% (Table 3). There was an overall mean reduction in insulin of 22 units, which was similar between all prescribers.


Discussion
The primary endpoint of difference in change of HbA1c before and after CGM use was found to be statistically and clinically significant, with a nearly 1% reduction in HbA1c, which was similar to the reduction found by Vigersky and colleagues. 5 Across all prescribers, post-CGM HbA1c levels were similar; however, patients with CGM prescribed by pharmacists had the smallest change in HbA1c. VA pharmacists primarily assess veterans taking insulin who have HbA1c levels that are below the goal with the aim of decreasing insulin to reduce the risk of hypoglycemia, which could result in increased HbA1c levels. This may also explain the observed increase in post-CGM HbA1c levels in patients aged ≥ 80 years. Patients under the care of pharmacists also had baseline mean HbA1c levels that were lower than primary care and endocrinology prescribers and were closer to their HbA1c goal at baseline, which likely was reflected in the smaller reduction in post-CGM HbA1c level.
While there was a decrease in HbA1c levels with CGM use, there were also changes to medications during this timeframe that also may have impacted HbA1c levels. The most common diabetes medications started during CGM use were GLP-1 agonists and SGLT2-inhibitors. Additionally, there was a reduction in the total daily dose of insulin in the study population. These results demonstrate the potential benefits of CGMs for prescribers who take advantage of the CGM glucose data available to assist with medication adjustments. Another consideration for differences in changes of HbA1c among prescriber types is the opportunity for more frequent follow- up visits with pharmacy or endocrinology compared with primary care. If veterans are followed more closely, it may be associated with improved HbA1c control. Further research investigating changes in HbA1c levels based on followup frequency may be useful.
Strengths and Limitations
The crossover design was a strength of this study. This design reduced confounding variables by having veterans serve as their own controls. In addition, the collection of multiple secondary outcomes adds to the knowledge base for future studies. This study focused on a unique population of veterans with T2DM who were taking insulin, an area that previously had very little data available to determine the benefits of CGM use.
Although the use of a CGM showed statistical significance in lowering HbA1c, many veterans were started on new diabetes medication during the period of CGM use, which also likely contributed to the reduction in HbA1c and may have confounded the results. The study was limited by its small population size due to time constraints of chart reviews and the limited generalizability of results outside of the VA system. The majority of patients were from a single site, male and identified as White, which may not be reflective of other VA and community health care systems. It was also noted that the time from the initiation of CGM use to the most recent HbA1c level varied from 6 months to several years. Additionally, veterans managed by community-based HCPs with complex diabetes cases were excluded.
Conclusions
This study demonstrated a clinically and statistically significant reduction in HbA1c with the use of a CGM compared to fingerstick monitoring in veterans with T2DM who were being treated with insulin. The change in post-CGM HbA1c levels across prescribers was similar. In the subgroup analysis of change in HbA1c among age groups, there was a lower HbA1c reduction in individuals aged ≥ 80 years. The results from this study support the idea that CGM use may be beneficial for patients who require a reduction in HbA1c by allowing more precise adjustments to medications and optimization of therapy, as well as the potential to reduce insulin requirements, which is especially valuable in the older adult veteran population.
- US Department of Veterans Affairs. VA supports veterans who have type 2 diabetes. VA News. Accessed September 30, 2024. https://news.va.gov/107579/va-supports-veterans-who-have-type-2-diabetes/
- ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic approaches to glycemic treatment: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S140- S157. doi:10.2337/dc23-S009
- ElSayed NA, Aleppo G, Aroda VR, et al. 6. Glycemic targets: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S97-S110. doi:10.2337/dc23-S006
- Miller E, Gavin JR, Kruger DF, Brunton SA. Continuous glucose monitoring: optimizing diabetes care: executive summary. Clin Diabetes. 2022;40(4):394-398. doi:10.2337/cd22-0043
- Vigersky RA, Fonda SJ, Chellappa M, Walker MS, Ehrhardt NM. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35(1):32-38. doi:10.2337/dc11-1438
- Karter AJ, Parker MM, Moffet HH, Gilliam LK, Dlott R. Association of real-time continuous glucose monitoring with glycemic control and acute metabolic events among patients with insulin-treated diabetes. JAMA. 2021;325(22):2273-2284. doi:10.1001/JAMA.2021.6530
- Langford SN, Lane M, Karounos D. Continuous blood glucose monitoring outcomes in veterans with type 2 diabetes. Fed Pract. 2021;38(Suppl 4):S14-S17. doi:10.12788/fp.0189
- Radin MS. Pitfalls in hemoglobin A1c measurement: when results may be misleading. J Gen Intern Med. 2014;29(2):388-394. doi:10.1007/s11606-013-2595-x.
- Little RR, Rohlfing CL, Sacks DB; National Glycohemoglobin Standardization Program (NGSP) steering committee. Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care. Clin Chem. 2011;57(2):205-214. doi:10.1373/clinchem.2010.148841
In the United States, 1 in 4 veterans lives with type 2 diabetes mellitus (T2DM), double the rate of the general population.1 Medications are important for the treatment of T2DM and preventing complications that may develop if not properly managed. Common classes of medications for diabetes include biguanides, sodiumglucose cotransporter-2 (SGLT-2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase-4 inhibitors, thiazolidinediones, sulfonylureas, and insulin. The selection of treatment depends on patient-specific factors including hemoglobin A1c (HbA1c) goal, potential effects on weight, risk of hypoglycemia, and comorbidities such as atherosclerotic cardiovascular disease, heart failure, or chronic kidney disease.2
HbA1c level reflects the mean blood glucose over the previous 3 months and serves as an indication of diabetes control. In patients with diabetes, it is recommended that HbA1c is checked ≥ 2 times annually for those meeting treatment goals, or more often if the patient needs to adjust medications to reach their HbA1c goal. The goal HbA1c level for most adults with diabetes is < 7%.3 This target can be adjusted based on age, comorbidities, or other patient factors. It is generally recommended that frequent glucose monitoring is not needed for patients with T2DM who are only taking oral agents and/or noninsulin injectables. However, for those on insulin regimens, it is advised to monitor glucose closely, with even more frequent testing for those with an intensive insulin regimen.3
Most patients with diabetes use fingerstick testing to self-monitor their blood glucose. However, continuous glucose monitors (CGMs) are becoming widely available and offer a solution to those who do not have the ability to check their glucose multiple times a day and throughout the night. The American Diabetes Association recommends that the frequency and timing of blood glucose monitoring, or the consideration of CGM use, should be based on the specific needs and goals of each patient.3 Guidelines also encourage those on intensive insulin regimens to check glucose levels when fasting, before and after meals, prior to exercise, and when hypoglycemia or hyperglycemia is suspected. Frequent testing can become a burden for patients, whereas once a CGM sensor is placed, it can be worn for 10 to 14 days. CGMs are also capable of transmitting glucose readings every 1 to 15 minutes to a receiver or mobile phone, allowing for further adaptability to a patient’s lifestyle.3
CGMs work by measuring the interstitial glucose with a small filament sensor and have demonstrated accuracy when compared to blood glucose readings. The ability of a CGM to accurately reflect HbA1c levels is a potential benefit, reducing the need for frequent testing to determine whether patients have achieved glycemic control.4 Another benefit of a CGM is the ease of sharing data; patient accounts can be linked with a health care site, allowing clinicians to access glucose data even if the patient is not able to be seen in clinic. This allows health care practitioners (HCPs) to more efficiently tailor medications and optimize regimens based on patient-specific data that was not available by fingerstick testing alone.
Vigersky and colleagues provided one of the few studies on the long-term effects of CGM in patients managing T2DM through diet and exercise alone, oral medications, or basal insulin and found significant improvement in HbA1c after only 3 months of CGM use.5
An important aspect of CGM use is the ability to alert the patient to low blood glucose readings, which can be dangerous for those unaware of hypoglycemia. Many studies have investigated the association between CGM use and acute metabolic events, demonstrating the potential for CGMs to prevent these emergencies. Karter and colleagues found a reduction in emergency department visits and hospitalizations for hypoglycemia associated with the use of CGMs in patients with type 1 DM (T1DM) and T2DM.6
There have been few studies on the use of CGM in veterans. Langford and colleagues found a reduction of HbA1c among veterans with T2DM using CGMs. However, > 50% of the patients in the study were not receiving insulin therapy, which currently is a US Department of Veterans Affairs (VA) CGM criteria for use.7 While current studies provide evidence that supports improvement in HbA1c levels with the use of CGMs, data are lacking for veterans with T2DM taking insulin. There is also minimal research that indicates which patients should be offered a CGM. The objective of this study was to evaluate glycemic control in veterans with T2DM on insulin using a CGM who were previously monitoring blood glucose with fingerstick testing. Secondary endpoints were explored to identify subgroups that may benefit from a CGM and other potential advantages of CGMs.
Methods
This was a retrospective study of veterans who transitioned from fingerstick testing to CGM for glucose monitoring. Each veteran served as their own control to limit confounding variables when comparing HbA1c levels. Veterans with an active or suspended CGM order were identified by reviewing outpatient prescription data. All data collection and analysis were done within the Veterans Affairs Sioux Falls Health Care System.
The primary objective of this study was to assess glycemic control from the use of a CGM by evaluating the change in HbA1c after transitioning to a CGM compared to the change in HbA1c with standard fingerstick monitoring. Three HbA1c values were collected for each veteran: before starting CGM, at initiation, and following CGM initiation (Figure 1). CGM start date was the date the CGM prescription order was placed. The pre-CGM HbA1c level was ≥ 1 year prior to the CGM start date or the HbA1c closest to 1 year. The start CGM HbA1c level was within 3 months before or 1 month after the CGM start date. The post-CGM HbA1c level was the most recent time of data collection and at least 6 months after CGM initiation. The change in HbA1c from fingerstick glucose monitoring was the difference between the pre-CGM and start CGM values. The change in HbA1c from use of a CGM was the difference between start CGM and post-CGM values, which were compared to determine HbA1c reduction from CGM use.

This study also explored secondary outcomes including changes in HbA1c by prescriber type, differences in HbA1c reduction based on age, and changes in diabetes medications, including total daily insulin doses. For secondary outcomes, diabetes medication information and the total daily dose of insulin were gathered at the start of CGM use and at the time of data collection. The most recent CGM order prescribed was also collected.
Veterans were included if they were aged ≥ 18 years, had an active order for a CGM, T2DM diagnosis, an insulin prescription, and previously used test strips for glucose monitoring. Patients with T1DM, those who accessed CGMs or care in the community, and patients without HbA1c values pre-CGM, were excluded.
Statistical Analysis
The primary endpoint of change in HbA1c level before and after CGM use was compared using a paired t test. A 0.5% change in HbA1c was considered clinically significant, as suggested in other studies.8,9P < .05 was considered statistically significant. Analysis for continuous baseline characteristics, including age and total daily insulin, were reported as mean values. Nominal characteristics including sex, race, diabetes medications, and prescriber type are reported as percentages.
Results
A total of 402 veterans were identified with an active CGM at the time of initial data collection in January 2024 and 175 met inclusion criteria. Sixty patients were excluded due to diabetes managed through a community HCP, 38 had T1DM, and 129 lacked HbA1c within all specified time periods. The 175 veterans were randomized, and 150 were selected to perform a chart review for data collection. The mean age was 70 years, most were male and identified as White (Table 1). The majority of patients were managed by endocrinology (53.3%), followed by primary care (24.0%), and pharmacy (22.7%) (Table 2). The mean baseline HbA1c was 8.6%.


The difference in HbA1c before and after use of CGM was -0.97% (P = .0001). Prior to use of a CGM the change in HbA1c was minimal, with an increase of 0.003% with the use of selfmonitoring glucose. After use of a CGM, HbA1c decreased by 0.971%. This reduction in HbA1c would also be considered clinically significant as the change was > 0.5%. The mean pre-, at start, and post-CGM HbA1c levels were 8.6%, 8.6%, and 7.6%, respectively (Figure 2). Pharmacy prescribers had a 0.7% reduction in HbA1c post-CGM, the least of all prescribers. While most age groups saw a reduction in HbA1c, those aged ≥ 80 years had an increase of 0.18% (Table 3). There was an overall mean reduction in insulin of 22 units, which was similar between all prescribers.


Discussion
The primary endpoint of difference in change of HbA1c before and after CGM use was found to be statistically and clinically significant, with a nearly 1% reduction in HbA1c, which was similar to the reduction found by Vigersky and colleagues. 5 Across all prescribers, post-CGM HbA1c levels were similar; however, patients with CGM prescribed by pharmacists had the smallest change in HbA1c. VA pharmacists primarily assess veterans taking insulin who have HbA1c levels that are below the goal with the aim of decreasing insulin to reduce the risk of hypoglycemia, which could result in increased HbA1c levels. This may also explain the observed increase in post-CGM HbA1c levels in patients aged ≥ 80 years. Patients under the care of pharmacists also had baseline mean HbA1c levels that were lower than primary care and endocrinology prescribers and were closer to their HbA1c goal at baseline, which likely was reflected in the smaller reduction in post-CGM HbA1c level.
While there was a decrease in HbA1c levels with CGM use, there were also changes to medications during this timeframe that also may have impacted HbA1c levels. The most common diabetes medications started during CGM use were GLP-1 agonists and SGLT2-inhibitors. Additionally, there was a reduction in the total daily dose of insulin in the study population. These results demonstrate the potential benefits of CGMs for prescribers who take advantage of the CGM glucose data available to assist with medication adjustments. Another consideration for differences in changes of HbA1c among prescriber types is the opportunity for more frequent follow- up visits with pharmacy or endocrinology compared with primary care. If veterans are followed more closely, it may be associated with improved HbA1c control. Further research investigating changes in HbA1c levels based on followup frequency may be useful.
Strengths and Limitations
The crossover design was a strength of this study. This design reduced confounding variables by having veterans serve as their own controls. In addition, the collection of multiple secondary outcomes adds to the knowledge base for future studies. This study focused on a unique population of veterans with T2DM who were taking insulin, an area that previously had very little data available to determine the benefits of CGM use.
Although the use of a CGM showed statistical significance in lowering HbA1c, many veterans were started on new diabetes medication during the period of CGM use, which also likely contributed to the reduction in HbA1c and may have confounded the results. The study was limited by its small population size due to time constraints of chart reviews and the limited generalizability of results outside of the VA system. The majority of patients were from a single site, male and identified as White, which may not be reflective of other VA and community health care systems. It was also noted that the time from the initiation of CGM use to the most recent HbA1c level varied from 6 months to several years. Additionally, veterans managed by community-based HCPs with complex diabetes cases were excluded.
Conclusions
This study demonstrated a clinically and statistically significant reduction in HbA1c with the use of a CGM compared to fingerstick monitoring in veterans with T2DM who were being treated with insulin. The change in post-CGM HbA1c levels across prescribers was similar. In the subgroup analysis of change in HbA1c among age groups, there was a lower HbA1c reduction in individuals aged ≥ 80 years. The results from this study support the idea that CGM use may be beneficial for patients who require a reduction in HbA1c by allowing more precise adjustments to medications and optimization of therapy, as well as the potential to reduce insulin requirements, which is especially valuable in the older adult veteran population.
In the United States, 1 in 4 veterans lives with type 2 diabetes mellitus (T2DM), double the rate of the general population.1 Medications are important for the treatment of T2DM and preventing complications that may develop if not properly managed. Common classes of medications for diabetes include biguanides, sodiumglucose cotransporter-2 (SGLT-2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase-4 inhibitors, thiazolidinediones, sulfonylureas, and insulin. The selection of treatment depends on patient-specific factors including hemoglobin A1c (HbA1c) goal, potential effects on weight, risk of hypoglycemia, and comorbidities such as atherosclerotic cardiovascular disease, heart failure, or chronic kidney disease.2
HbA1c level reflects the mean blood glucose over the previous 3 months and serves as an indication of diabetes control. In patients with diabetes, it is recommended that HbA1c is checked ≥ 2 times annually for those meeting treatment goals, or more often if the patient needs to adjust medications to reach their HbA1c goal. The goal HbA1c level for most adults with diabetes is < 7%.3 This target can be adjusted based on age, comorbidities, or other patient factors. It is generally recommended that frequent glucose monitoring is not needed for patients with T2DM who are only taking oral agents and/or noninsulin injectables. However, for those on insulin regimens, it is advised to monitor glucose closely, with even more frequent testing for those with an intensive insulin regimen.3
Most patients with diabetes use fingerstick testing to self-monitor their blood glucose. However, continuous glucose monitors (CGMs) are becoming widely available and offer a solution to those who do not have the ability to check their glucose multiple times a day and throughout the night. The American Diabetes Association recommends that the frequency and timing of blood glucose monitoring, or the consideration of CGM use, should be based on the specific needs and goals of each patient.3 Guidelines also encourage those on intensive insulin regimens to check glucose levels when fasting, before and after meals, prior to exercise, and when hypoglycemia or hyperglycemia is suspected. Frequent testing can become a burden for patients, whereas once a CGM sensor is placed, it can be worn for 10 to 14 days. CGMs are also capable of transmitting glucose readings every 1 to 15 minutes to a receiver or mobile phone, allowing for further adaptability to a patient’s lifestyle.3
CGMs work by measuring the interstitial glucose with a small filament sensor and have demonstrated accuracy when compared to blood glucose readings. The ability of a CGM to accurately reflect HbA1c levels is a potential benefit, reducing the need for frequent testing to determine whether patients have achieved glycemic control.4 Another benefit of a CGM is the ease of sharing data; patient accounts can be linked with a health care site, allowing clinicians to access glucose data even if the patient is not able to be seen in clinic. This allows health care practitioners (HCPs) to more efficiently tailor medications and optimize regimens based on patient-specific data that was not available by fingerstick testing alone.
Vigersky and colleagues provided one of the few studies on the long-term effects of CGM in patients managing T2DM through diet and exercise alone, oral medications, or basal insulin and found significant improvement in HbA1c after only 3 months of CGM use.5
An important aspect of CGM use is the ability to alert the patient to low blood glucose readings, which can be dangerous for those unaware of hypoglycemia. Many studies have investigated the association between CGM use and acute metabolic events, demonstrating the potential for CGMs to prevent these emergencies. Karter and colleagues found a reduction in emergency department visits and hospitalizations for hypoglycemia associated with the use of CGMs in patients with type 1 DM (T1DM) and T2DM.6
There have been few studies on the use of CGM in veterans. Langford and colleagues found a reduction of HbA1c among veterans with T2DM using CGMs. However, > 50% of the patients in the study were not receiving insulin therapy, which currently is a US Department of Veterans Affairs (VA) CGM criteria for use.7 While current studies provide evidence that supports improvement in HbA1c levels with the use of CGMs, data are lacking for veterans with T2DM taking insulin. There is also minimal research that indicates which patients should be offered a CGM. The objective of this study was to evaluate glycemic control in veterans with T2DM on insulin using a CGM who were previously monitoring blood glucose with fingerstick testing. Secondary endpoints were explored to identify subgroups that may benefit from a CGM and other potential advantages of CGMs.
Methods
This was a retrospective study of veterans who transitioned from fingerstick testing to CGM for glucose monitoring. Each veteran served as their own control to limit confounding variables when comparing HbA1c levels. Veterans with an active or suspended CGM order were identified by reviewing outpatient prescription data. All data collection and analysis were done within the Veterans Affairs Sioux Falls Health Care System.
The primary objective of this study was to assess glycemic control from the use of a CGM by evaluating the change in HbA1c after transitioning to a CGM compared to the change in HbA1c with standard fingerstick monitoring. Three HbA1c values were collected for each veteran: before starting CGM, at initiation, and following CGM initiation (Figure 1). CGM start date was the date the CGM prescription order was placed. The pre-CGM HbA1c level was ≥ 1 year prior to the CGM start date or the HbA1c closest to 1 year. The start CGM HbA1c level was within 3 months before or 1 month after the CGM start date. The post-CGM HbA1c level was the most recent time of data collection and at least 6 months after CGM initiation. The change in HbA1c from fingerstick glucose monitoring was the difference between the pre-CGM and start CGM values. The change in HbA1c from use of a CGM was the difference between start CGM and post-CGM values, which were compared to determine HbA1c reduction from CGM use.

This study also explored secondary outcomes including changes in HbA1c by prescriber type, differences in HbA1c reduction based on age, and changes in diabetes medications, including total daily insulin doses. For secondary outcomes, diabetes medication information and the total daily dose of insulin were gathered at the start of CGM use and at the time of data collection. The most recent CGM order prescribed was also collected.
Veterans were included if they were aged ≥ 18 years, had an active order for a CGM, T2DM diagnosis, an insulin prescription, and previously used test strips for glucose monitoring. Patients with T1DM, those who accessed CGMs or care in the community, and patients without HbA1c values pre-CGM, were excluded.
Statistical Analysis
The primary endpoint of change in HbA1c level before and after CGM use was compared using a paired t test. A 0.5% change in HbA1c was considered clinically significant, as suggested in other studies.8,9P < .05 was considered statistically significant. Analysis for continuous baseline characteristics, including age and total daily insulin, were reported as mean values. Nominal characteristics including sex, race, diabetes medications, and prescriber type are reported as percentages.
Results
A total of 402 veterans were identified with an active CGM at the time of initial data collection in January 2024 and 175 met inclusion criteria. Sixty patients were excluded due to diabetes managed through a community HCP, 38 had T1DM, and 129 lacked HbA1c within all specified time periods. The 175 veterans were randomized, and 150 were selected to perform a chart review for data collection. The mean age was 70 years, most were male and identified as White (Table 1). The majority of patients were managed by endocrinology (53.3%), followed by primary care (24.0%), and pharmacy (22.7%) (Table 2). The mean baseline HbA1c was 8.6%.


The difference in HbA1c before and after use of CGM was -0.97% (P = .0001). Prior to use of a CGM the change in HbA1c was minimal, with an increase of 0.003% with the use of selfmonitoring glucose. After use of a CGM, HbA1c decreased by 0.971%. This reduction in HbA1c would also be considered clinically significant as the change was > 0.5%. The mean pre-, at start, and post-CGM HbA1c levels were 8.6%, 8.6%, and 7.6%, respectively (Figure 2). Pharmacy prescribers had a 0.7% reduction in HbA1c post-CGM, the least of all prescribers. While most age groups saw a reduction in HbA1c, those aged ≥ 80 years had an increase of 0.18% (Table 3). There was an overall mean reduction in insulin of 22 units, which was similar between all prescribers.


Discussion
The primary endpoint of difference in change of HbA1c before and after CGM use was found to be statistically and clinically significant, with a nearly 1% reduction in HbA1c, which was similar to the reduction found by Vigersky and colleagues. 5 Across all prescribers, post-CGM HbA1c levels were similar; however, patients with CGM prescribed by pharmacists had the smallest change in HbA1c. VA pharmacists primarily assess veterans taking insulin who have HbA1c levels that are below the goal with the aim of decreasing insulin to reduce the risk of hypoglycemia, which could result in increased HbA1c levels. This may also explain the observed increase in post-CGM HbA1c levels in patients aged ≥ 80 years. Patients under the care of pharmacists also had baseline mean HbA1c levels that were lower than primary care and endocrinology prescribers and were closer to their HbA1c goal at baseline, which likely was reflected in the smaller reduction in post-CGM HbA1c level.
While there was a decrease in HbA1c levels with CGM use, there were also changes to medications during this timeframe that also may have impacted HbA1c levels. The most common diabetes medications started during CGM use were GLP-1 agonists and SGLT2-inhibitors. Additionally, there was a reduction in the total daily dose of insulin in the study population. These results demonstrate the potential benefits of CGMs for prescribers who take advantage of the CGM glucose data available to assist with medication adjustments. Another consideration for differences in changes of HbA1c among prescriber types is the opportunity for more frequent follow- up visits with pharmacy or endocrinology compared with primary care. If veterans are followed more closely, it may be associated with improved HbA1c control. Further research investigating changes in HbA1c levels based on followup frequency may be useful.
Strengths and Limitations
The crossover design was a strength of this study. This design reduced confounding variables by having veterans serve as their own controls. In addition, the collection of multiple secondary outcomes adds to the knowledge base for future studies. This study focused on a unique population of veterans with T2DM who were taking insulin, an area that previously had very little data available to determine the benefits of CGM use.
Although the use of a CGM showed statistical significance in lowering HbA1c, many veterans were started on new diabetes medication during the period of CGM use, which also likely contributed to the reduction in HbA1c and may have confounded the results. The study was limited by its small population size due to time constraints of chart reviews and the limited generalizability of results outside of the VA system. The majority of patients were from a single site, male and identified as White, which may not be reflective of other VA and community health care systems. It was also noted that the time from the initiation of CGM use to the most recent HbA1c level varied from 6 months to several years. Additionally, veterans managed by community-based HCPs with complex diabetes cases were excluded.
Conclusions
This study demonstrated a clinically and statistically significant reduction in HbA1c with the use of a CGM compared to fingerstick monitoring in veterans with T2DM who were being treated with insulin. The change in post-CGM HbA1c levels across prescribers was similar. In the subgroup analysis of change in HbA1c among age groups, there was a lower HbA1c reduction in individuals aged ≥ 80 years. The results from this study support the idea that CGM use may be beneficial for patients who require a reduction in HbA1c by allowing more precise adjustments to medications and optimization of therapy, as well as the potential to reduce insulin requirements, which is especially valuable in the older adult veteran population.
- US Department of Veterans Affairs. VA supports veterans who have type 2 diabetes. VA News. Accessed September 30, 2024. https://news.va.gov/107579/va-supports-veterans-who-have-type-2-diabetes/
- ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic approaches to glycemic treatment: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S140- S157. doi:10.2337/dc23-S009
- ElSayed NA, Aleppo G, Aroda VR, et al. 6. Glycemic targets: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S97-S110. doi:10.2337/dc23-S006
- Miller E, Gavin JR, Kruger DF, Brunton SA. Continuous glucose monitoring: optimizing diabetes care: executive summary. Clin Diabetes. 2022;40(4):394-398. doi:10.2337/cd22-0043
- Vigersky RA, Fonda SJ, Chellappa M, Walker MS, Ehrhardt NM. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35(1):32-38. doi:10.2337/dc11-1438
- Karter AJ, Parker MM, Moffet HH, Gilliam LK, Dlott R. Association of real-time continuous glucose monitoring with glycemic control and acute metabolic events among patients with insulin-treated diabetes. JAMA. 2021;325(22):2273-2284. doi:10.1001/JAMA.2021.6530
- Langford SN, Lane M, Karounos D. Continuous blood glucose monitoring outcomes in veterans with type 2 diabetes. Fed Pract. 2021;38(Suppl 4):S14-S17. doi:10.12788/fp.0189
- Radin MS. Pitfalls in hemoglobin A1c measurement: when results may be misleading. J Gen Intern Med. 2014;29(2):388-394. doi:10.1007/s11606-013-2595-x.
- Little RR, Rohlfing CL, Sacks DB; National Glycohemoglobin Standardization Program (NGSP) steering committee. Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care. Clin Chem. 2011;57(2):205-214. doi:10.1373/clinchem.2010.148841
- US Department of Veterans Affairs. VA supports veterans who have type 2 diabetes. VA News. Accessed September 30, 2024. https://news.va.gov/107579/va-supports-veterans-who-have-type-2-diabetes/
- ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic approaches to glycemic treatment: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S140- S157. doi:10.2337/dc23-S009
- ElSayed NA, Aleppo G, Aroda VR, et al. 6. Glycemic targets: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S97-S110. doi:10.2337/dc23-S006
- Miller E, Gavin JR, Kruger DF, Brunton SA. Continuous glucose monitoring: optimizing diabetes care: executive summary. Clin Diabetes. 2022;40(4):394-398. doi:10.2337/cd22-0043
- Vigersky RA, Fonda SJ, Chellappa M, Walker MS, Ehrhardt NM. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35(1):32-38. doi:10.2337/dc11-1438
- Karter AJ, Parker MM, Moffet HH, Gilliam LK, Dlott R. Association of real-time continuous glucose monitoring with glycemic control and acute metabolic events among patients with insulin-treated diabetes. JAMA. 2021;325(22):2273-2284. doi:10.1001/JAMA.2021.6530
- Langford SN, Lane M, Karounos D. Continuous blood glucose monitoring outcomes in veterans with type 2 diabetes. Fed Pract. 2021;38(Suppl 4):S14-S17. doi:10.12788/fp.0189
- Radin MS. Pitfalls in hemoglobin A1c measurement: when results may be misleading. J Gen Intern Med. 2014;29(2):388-394. doi:10.1007/s11606-013-2595-x.
- Little RR, Rohlfing CL, Sacks DB; National Glycohemoglobin Standardization Program (NGSP) steering committee. Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care. Clin Chem. 2011;57(2):205-214. doi:10.1373/clinchem.2010.148841

VA Cancer Clinical Trials as a Strategy for Increasing Accrual of Racial and Ethnic Underrepresented Groups
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.

Anti-Tumor Necrosis Factor Treatment for Glomerulopathy: Case Report and Review of Literature
Podocytes are terminally differentiated, highly specialized cells located in juxtaposition to the basement membrane over the abluminal surfaces of endothelial cells within the glomerular tuft. This triad structure is the site of the filtration barrier, which forms highly delicate and tightly regulated architecture to carry out the ultrafiltration function of the kidney.1 The filtration barrier is characterized by foot processes that are connected by specialized junctions called slit diaphragms.
Insults to components of the filtration barrier can initiate cascading events and perpetuate structural alterations that may eventually result in sclerotic changes.2 Common causes among children include minimal change disease (MCD) with the collapse of foot processes resulting in proteinuria, Alport syndrome due to mutation of collagen fibers within the basement membrane leading to hematuria and proteinuria, immune complex mediated nephropathy following common infections or autoimmune diseases, and focal segmental glomerulosclerosis (FSGS) that can show variable histopathology toward eventual glomerular scarring.3,4 These children often clinically have minimal, if any, signs of systemic inflammation.3-5 This has been a limiting factor for the commitment to immunomodulatory treatment, except for steroids for the treatment of MCD.6 Although prolonged steroid treatment may be efficacious, adverse effects are significant in a growing child. Alternative treatments, such as tacrolimus and rituximab have been suggested as second-line steroid-sparing agents.7,8 Not uncommonly, however, these cases are managed by supportive measures only during the progression of the natural course of the disease, which may eventually lead to renal failure, requiring transplant for survival.8,9
This case report highlights a child with a variant of uncertain significance (VUS) in genes involved in Alport syndrome and FSGS who developed an abrupt onset of proteinuria and hematuria after a respiratory illness. To our knowledge, he represents the youngest case demonstrating the benefit of targeted treatment against tumor necrosis factor-α (TNF-α) for glomerulopathy using biologic response modifiers.
Case Description
This is currently a 7-year-old male patient who was born at 39 weeks gestation to gravida 3 para 3 following induced labor due to elevated maternal blood pressure. During the first 2 years of life, his growth and development were normal and his immunizations were up to date. The patient's medical history included upper respiratory tract infections (URIs), respiratory syncytial virus, as well as 3 bouts of pneumonia and multiple otitis media that resulted in 18 rounds of antibiotics. The child was also allergic to nuts and milk protein. The patient’s parents are of Northern European and Native American descent. There is no known family history of eye, ear, or kidney diseases.
Renal concerns were first noted at the age of 2 years and 6 months when he presented to an emergency department in Fall 2019 (week 0) for several weeks of intermittent dark-colored urine. His mother reported that the discoloration recently progressed in intensity to cola-colored, along with the onset of persistent vomiting without any fever or diarrhea. On physical examination, the patient had normal vitals: weight 14.8 kg (68th percentile), height 91 cm (24th percentile), and body surface area 0.6 m2. There was no edema, rash, or lymphadenopathy, but he appeared pale.
The patient’s initial laboratory results included: complete blood count with white blood cells (WBC) 10 x 103/L (reference range, 4.5-13.5 x 103/L); differential lymphocytes 69%; neutrophils 21%; hemoglobin 10 g/dL (reference range, 12-16 g/dL); hematocrit, 30%; (reference range, 37%-45%); platelets 437 103/L (reference range, 150-450 x 103/L); serum creatinine 0.46 mg/dL (reference range, 0.5-0.9 mg/dL); and albumin 3.1 g/dL (reference range, 3.5-5.2 g/dL). Serum electrolyte levels and liver enzymes were normal. A urine analysis revealed 3+ protein and 3+ blood with dysmorphic red blood cells (RBC) and RBC casts without WBC. The patient's spot urine protein-to-creatinine ratio was 4.3 and his renal ultrasound was normal. The patient was referred to Nephrology.
During the next 2 weeks, his protein-to-creatinine ratio progressed to 5.9 and serum albumin fell to 2.7 g/dL. His urine remained red colored, and a microscopic examination with RBC > 500 and WBC up to 10 on a high powered field. His workup was negative for antinuclear antibodies, antineutrophil cytoplasmic antibody, antistreptolysin-O (ASO) and anti-DNase B. Serum C3 was low at 81 mg/dL (reference range, 90-180 mg/dL), C4 was 13.3 mg/dL (reference range, 10-40 mg/dL), and immunoglobulin G was low at 452 mg/dL (reference range 719-1475 mg/dL). A baseline audiology test revealed normal hearing.
Percutaneous renal biopsy yielded about 12 glomeruli, all exhibiting mild mesangial matrix expansion and hypercellularity (Figure 1). One glomerulus had prominent parietal epithelial cells without endocapillary hypercellularity or crescent formation. There was no interstitial fibrosis or tubular atrophy. Immunofluorescence studies showed no evidence of immune complex deposition with negative staining for immunoglobulin heavy and light chains, C3 and C1q. Staining for α 2 and α 5 units of collagen was normal. Electron microscopy showed patchy areas of severe basement membrane thinning with frequent foci of mild to moderate lamina densa splitting and associated visceral epithelial cell foot process effacement (Figure 2).
These were reported as concerning findings for possible Alport syndrome by 3 independent pathology teams. The genetic testing was submitted at a commercial laboratory to screen 17 mutations, including COL4A3, COL4A4, and COL4A5. Results showed the presence of a heterozygous VUS in the COL4A4 gene (c.1055C > T; p.Pro352Leu; dbSNP ID: rs371717486; PolyPhen-2: Probably Damaging; SIFT: Deleterious) as well as the presence of a heterozygous VUS in TRPC6 gene (c2463A>T; p.Lys821Asn; dbSNP ID: rs199948731; PolyPhen-2: Benign; SIFT: Tolerated). Further genetic investigation by whole exome sequencing on approximately 20,000 genes through MNG Laboratories showed a new heterozygous VUS in the OSGEP gene [c.328T>C; p.Cys110Arg]. Additional studies ruled out mitochondrial disease, CoQ10 deficiency, and metabolic disorders upon normal findings for mitochondrial DNA, urine amino acids, plasma acylcarnitine profile, orotic acid, ammonia, and homocysteine levels.
Figure 3 summarizes the patient’s treatment response during 170 weeks of follow-up (Fall 2019 to Summer 2023). The patient was started on enalapril 0.6 mg/kg daily at week 3, which continued throughout treatment. Following a rheumatology consult at week 30, the patient was started on prednisolone 3 mg/mL to assess the role of inflammation through the treatment response. An initial dose of 2 mg/kg daily (9 mL) for 1 month was followed by every other day treatment that was tapered off by week 48. To control mild but noticeably increasing proteinuria in the interim, subcutaneous anakinra 50 mg (3 mg/kg daily) was added as a steroid
DISCUSSION
This case describes a child with rapidly progressive proteinuria and hematuria following a URI who was found to have VUS mutations in 3 different genes associated with chronic kidney disease. Serology tests on the patient were negative for streptococcal antibodies and antinuclear antibodies, ruling out poststreptococcal glomerulonephritis, or systemic lupus erythematosus. His renal biopsy findings were concerning for altered podocytes, mesangial cells, and basement membrane without inflammatory infiltrate, immune complex, complements, immunoglobulin A, or vasculopathy. His blood inflammatory markers, erythrocyte sedimentation rate, C-reactive protein, and ferritin were normal when his care team initiated daily steroids.
Overall, the patient’s clinical presentation and histopathology findings were suggestive of Alport syndrome or thin basement membrane nephropathy with a high potential to progress into FSGS.10-12 Alport syndrome affects 1 in 5000 to 10,000 children annually due to S-linked inheritance of COL4A5, or autosomal recessive inheritance of COL4A3 or COL4A4 genes. It presents with hematuria and hearing loss.10 Our patient had a single copy COL4A4 gene mutation that was classified as VUS. He also had 2 additional VUS affecting the TRPC6 and OSGEP genes. TRPC6 gene mutation can be associated with FSGS through autosomal dominant inheritance. Both COL4A4 and TRPC6 gene mutations were paternally inherited. Although the patient’s father not having renal disease argues against the clinical significance of these findings, there is literature on the potential role of heterozygous COL4A4 variant mimicking thin basement membrane nephropathy that can lead to renal impairment upon copresence of superimposed conditions.13 The patient’s rapidly progressing hematuria and changes in the basement membrane were worrisome for emerging FSGS. Furthermore, VUS of TRPC6 has been reported in late onset autosomal dominant FSGS and can be associated with early onset steroid-resistant nephrotic syndrome (NS) in children.14 This concern was voiced by 3 nephrology consultants during the initial evaluation, leading to the consensus that steroid treatment for podocytopathy would not alter the patient’s long-term outcomes (ie, progression to FSGS).
Immunomodulation
Our rationale for immunomodulatory treatment was based on the abrupt onset of renal concerns following a URI, suggesting the importance of an inflammatory trigger causing altered homeostasis in a genetically susceptible host. Preclinical models show that microbial products such as lipopolysaccharides can lead to podocytopathy by several mechanisms through activation of toll-like receptor signaling. It can directly cause apoptosis by downregulation of the intracellular Akt survival pathway.15 Lipopolysaccharide can also activate the NF-αB pathway and upregulate the production of interleukin-1 (IL-1) and TNF-α in mesangial cells.16,17
Both cytokines can promote mesangial cell proliferation.18 Through autocrine and paracrine mechanisms, proinflammatory cytokines can further perpetuate somatic tissue changes and contribute to the development of podocytopathy. For instance, TNF-α can promote podocyte injury and proteinuria by downregulation of the slit diaphragm protein expression (ie, nephrin, ezrin, or podocin), and disruption of podocyte cytoskeleton.19,20 TNF-α promotes the influx and activation of macrophages and inflammatory cells. It is actively involved in chronic alterations within the glomeruli by the upregulation of matrix metalloproteases by integrins, as well as activation of myofibroblast progenitors and extracellular matrix deposition in crosstalk with transforming growth factor and other key mediators.17,21,22
For the patient described in this case report, initial improvement on steroids encouraged the pursuit of additional treatment to downregulate inflammatory pathways within the glomerular milieu. However, within the COVID-19 environment, escalating the patient’s treatment using traditional immunomodulators (ie, calcineurin inhibitors or mycophenolate mofetil) was not favored due to the risk of infection. Initially, anakinra, a recombinant IL-1 receptor antagonist, was preferred as a steroid-sparing agent for its short life and safety profile during the pandemic. At first, the patient responded well to anakinra and was allowed a steroid wean when the dose was titrated up to 6 mg/kg daily. However, anakinra did not prevent the escalation of proteinuria following a URI. After the treatment was changed to adalimumab, a fully humanized monoclonal antibody to TNF-α, the patient continued to improve and reach full remission despite experiencing a cold and the flu in the following months.
Literature Review
There is a paucity of literature on applications of biological response modifiers for idiopathic NS and FSGS.23,24 Angeletti and colleagues reported that 3 patients with severe long-standing FSGS benefited from anakinra 4 mg/kg daily to reduce proteinuria and improve kidney function. All the patients had positive C3 staining in renal biopsy and treatment response, which supported the role of C3a in inducing podocyte injury through upregulated expression of IL-1 and IL-1R.23 Trachtman and colleagues reported on the phase II FONT trial that included 14 of 21 patients aged < 18 years with advanced FSGS who were treated with adalimumab 24 mg/m2, or ≤ 40 mg every other week.24 Although, during a 6-month period, none of the 7 patients met the endpoint of reduced proteinuria by ≥ 50%, and the authors suggested that careful patient selection may improve the treatment response in future trials.24
A recent study involving transcriptomics on renal tissue samples combined with available pathology (fibrosis), urinary markers, and clinical characteristics on 285 patients with MCD or FSGS from 3 different continents identified 3 distinct clusters. Patients with evidence of activated kidney TNF pathway (n = 72, aged > 18 years) were found to have poor clinical outcomes.25 The study identified 2 urine markers associated with the TNF pathway (ie, tissue inhibitor of metalloproteinases-1 and monocyte chemoattractant protein-1), which aligns with the preclinical findings previously mentioned.25
Conclusions
The patient’s condition in this case illustrates the complex nature of biologically predetermined cascading events in the emergence of glomerular disease upon environmental triggers under the influence of genetic factors.
Chronic kidney disease affects 7.7% of veterans annually, illustrating the need for new therapeutics.26 Based on our experience and literature review, upregulation of TNF-α is a root cause of glomerulopathy; further studies are warranted to evaluate the efficacy of anti-TNF biologic response modifiers for the treatment of these patients. Long-term postmarketing safety profile and steroid-sparing properties of adalimumab should allow inclusion of pediatric cases in future trials. Results may also contribute to identifying new predictive biomarkers related to the basement membrane when combined with precision nephrology to further advance patient selection and targeted treatment.25,27
Acknowledgments
The authors thank the patient’s mother for providing consent to allow publication of this case report.
1. Arif E, Nihalani D. Glomerular filtration barrier assembly: an insight. Postdoc J. 2013;1(4):33-45.
2. Garg PA. Review of podocyte biology. Am J Nephrol. 2018;47(suppl 1):3-13. doi:10.1159/000481633SUPPL
3. Warady BA, Agarwal R, Bangalore S, et al. Alport syndrome classification and management. Kidney Med. 2020;2(5):639-649. doi:10.1016/j.xkme.2020.05.014
4. Angioi A, Pani A. FSGS: from pathogenesis to the histological lesion. J Nephrol. 2016;29(4):517-523. doi:10.1007/s40620-016-0333-2
5. Roca N, Martinez C, Jatem E, Madrid A, Lopez M, Segarra A. Activation of the acute inflammatory phase response in idiopathic nephrotic syndrome: association with clinicopathological phenotypes and with response to corticosteroids. Clin Kidney J. 2021;14(4):1207-1215. doi:10.1093/ckj/sfaa247
6. Vivarelli M, Massella L, Ruggiero B, Emma F. Minimal change disease. Clin J Am Soc Nephrol. 2017;12(2):332-345.
7. Medjeral-Thomas NR, Lawrence C, Condon M, et al. Randomized, controlled trial of tacrolimus and prednisolone monotherapy for adults with De Novo minimal change disease: a multicenter, randomized, controlled trial. Clin J Am Soc Nephrol. 2020;15(2):209-218. doi:10.2215/CJN.06290420
8. Ye Q, Lan B, Liu H, Persson PB, Lai EY, Mao J. A critical role of the podocyte cytoskeleton in the pathogenesis of glomerular proteinuria and autoimmune podocytopathies. Acta Physiol (Oxf). 2022;235(4):e13850. doi:10.1111/apha.13850
9. Trautmann A, Schnaidt S, Lipska-Ziμtkiewicz BS, et al. Long-term outcome of steroid-resistant nephrotic syndrome in children. J Am Soc Nephrol. 2017;28:3055-3065. doi:10.1681/ASN.2016101121
10. Kashtan CE, Gross O. Clinical practice recommendations for the diagnosis and management of Alport syndrome in children, adolescents, and young adults-an update for 2020. Pediatr Nephrol. 2021;36(3):711-719. doi:10.1007/s00467-020-04819-6
11. Savige J, Rana K, Tonna S, Buzza M, Dagher H, Wang YY. Thin basement membrane nephropathy. Kidney Int. 2003;64(4):1169-78. doi:10.1046/j.1523-1755.2003.00234.x
12. Rosenberg AZ, Kopp JB. Focal segmental glomerulosclerosis. Clin J Am Soc Nephrol. 2017; 12(3):502-517. doi:10.2215/CJN.05960616
13. Savige J. Should we diagnose autosomal dominant Alport syndrome when there is a pathogenic heterozygous COL4A3 or COL4A4 variant? Kidney Int Rep. 2018;3(6):1239-1241. doi:10.1016/j.ekir.2018.08.002
14. Gigante M, Caridi G, Montemurno E, et al. TRPC6 mutations in children with steroid-resistant nephrotic syndrome and atypical phenotype. Clin J Am Soc Nephrol. 2011;6(7):1626-1634. doi:10.2215/CJN.07830910
15. Saurus P, Kuusela S, Lehtonen E, et al. Podocyte apoptosis is prevented by blocking the toll-like receptor pathway. Cell Death Dis. 2015;6(5):e1752. doi:10.1038/cddis.2015.125
16. Baud L, Oudinet JP, Bens M, et al. Production of tumor necrosis factor by rat mesangial cells in response to bacterial lipopolysaccharide. Kidney Int. 1989;35(5):1111-1118. doi:10.1038/ki.1989.98
17. White S, Lin L, Hu K. NF-κB and tPA signaling in kidney and other diseases. Cells. 2020;9(6):1348. doi:10.3390/cells9061348
18. Tesch GH, Lan HY, Atkins RC, Nikolic-Paterson DJ. Role of interleukin-1 in mesangial cell proliferation and matrix deposition in experimental mesangioproliferative nephritis. Am J Pathol. 1997;151(1):141-150.
19. Lai KN, Leung JCK, Chan LYY, et al. Podocyte injury induced by mesangial-derived cytokines in IgA Nephropathy. Nephrol Dial Transplant. 2009;24(1):62-72. doi:10.1093/ndt/gfn441
20. Saleem MA, Kobayashi Y. Cell biology and genetics of minimal change disease. F1000 Res. 2016;5: F1000 Faculty Rev-412. doi:10.12688/f1000research.7300.1
21. Kim KP, Williams CE, Lemmon CA. Cell-matrix interactions in renal fibrosis. Kidney Dial. 2022;2(4):607-624. doi:10.3390/kidneydial2040055
22. Zvaifler NJ. Relevance of the stroma and epithelial-mesenchymal transition (EMT) for the rheumatic diseases. Arthritis Res Ther. 2006;8(3):210. doi:10.1186/ar1963
23. Angeletti A, Magnasco A, Trivelli A, et al. Refractory minimal change disease and focal segmental glomerular sclerosis treated with Anakinra. Kidney Int Rep. 2021;7(1):121-124. doi:10.1016/j.ekir.2021.10.018
24. Trachtman H, Vento S, Herreshoff E, et al. Efficacy of galactose and adalimumab in patients with resistant focal segmental glomerulosclerosis: report of the font clinical trial group. BMC Nephrol. 2015;16:111. doi:10.1186/s12882-015-0094-5
25. Mariani LH, Eddy S, AlAkwaa FM, et al. Precision nephrology identified tumor necrosis factor activation variability in minimal change disease and focal segmental glomerulosclerosis. Kidney Int. 2023;103(3):565-579. doi:10.1016/j.kint.2022.10.023
26. Korshak L, Washington DL, Powell J, Nylen E, Kokkinos P. Kidney Disease in Veterans. US Dept of Veterans Affairs, Office of Health Equity. Updated May 13, 2020. Accessed June 28, 2024. https://www.va.gov/HEALTHEQUITY/Kidney_Disease_In_Veterans.asp
27. Malone AF, Phelan PJ, Hall G, et al. Rare hereditary COL4A3/COL4A4 variants may be mistaken for familial focal segmental glomerulosclerosis. Kidney Int. 2014;86(6):1253-1259. doi:10.1038/ki.2014.305
Podocytes are terminally differentiated, highly specialized cells located in juxtaposition to the basement membrane over the abluminal surfaces of endothelial cells within the glomerular tuft. This triad structure is the site of the filtration barrier, which forms highly delicate and tightly regulated architecture to carry out the ultrafiltration function of the kidney.1 The filtration barrier is characterized by foot processes that are connected by specialized junctions called slit diaphragms.
Insults to components of the filtration barrier can initiate cascading events and perpetuate structural alterations that may eventually result in sclerotic changes.2 Common causes among children include minimal change disease (MCD) with the collapse of foot processes resulting in proteinuria, Alport syndrome due to mutation of collagen fibers within the basement membrane leading to hematuria and proteinuria, immune complex mediated nephropathy following common infections or autoimmune diseases, and focal segmental glomerulosclerosis (FSGS) that can show variable histopathology toward eventual glomerular scarring.3,4 These children often clinically have minimal, if any, signs of systemic inflammation.3-5 This has been a limiting factor for the commitment to immunomodulatory treatment, except for steroids for the treatment of MCD.6 Although prolonged steroid treatment may be efficacious, adverse effects are significant in a growing child. Alternative treatments, such as tacrolimus and rituximab have been suggested as second-line steroid-sparing agents.7,8 Not uncommonly, however, these cases are managed by supportive measures only during the progression of the natural course of the disease, which may eventually lead to renal failure, requiring transplant for survival.8,9
This case report highlights a child with a variant of uncertain significance (VUS) in genes involved in Alport syndrome and FSGS who developed an abrupt onset of proteinuria and hematuria after a respiratory illness. To our knowledge, he represents the youngest case demonstrating the benefit of targeted treatment against tumor necrosis factor-α (TNF-α) for glomerulopathy using biologic response modifiers.
Case Description
This is currently a 7-year-old male patient who was born at 39 weeks gestation to gravida 3 para 3 following induced labor due to elevated maternal blood pressure. During the first 2 years of life, his growth and development were normal and his immunizations were up to date. The patient's medical history included upper respiratory tract infections (URIs), respiratory syncytial virus, as well as 3 bouts of pneumonia and multiple otitis media that resulted in 18 rounds of antibiotics. The child was also allergic to nuts and milk protein. The patient’s parents are of Northern European and Native American descent. There is no known family history of eye, ear, or kidney diseases.
Renal concerns were first noted at the age of 2 years and 6 months when he presented to an emergency department in Fall 2019 (week 0) for several weeks of intermittent dark-colored urine. His mother reported that the discoloration recently progressed in intensity to cola-colored, along with the onset of persistent vomiting without any fever or diarrhea. On physical examination, the patient had normal vitals: weight 14.8 kg (68th percentile), height 91 cm (24th percentile), and body surface area 0.6 m2. There was no edema, rash, or lymphadenopathy, but he appeared pale.
The patient’s initial laboratory results included: complete blood count with white blood cells (WBC) 10 x 103/L (reference range, 4.5-13.5 x 103/L); differential lymphocytes 69%; neutrophils 21%; hemoglobin 10 g/dL (reference range, 12-16 g/dL); hematocrit, 30%; (reference range, 37%-45%); platelets 437 103/L (reference range, 150-450 x 103/L); serum creatinine 0.46 mg/dL (reference range, 0.5-0.9 mg/dL); and albumin 3.1 g/dL (reference range, 3.5-5.2 g/dL). Serum electrolyte levels and liver enzymes were normal. A urine analysis revealed 3+ protein and 3+ blood with dysmorphic red blood cells (RBC) and RBC casts without WBC. The patient's spot urine protein-to-creatinine ratio was 4.3 and his renal ultrasound was normal. The patient was referred to Nephrology.
During the next 2 weeks, his protein-to-creatinine ratio progressed to 5.9 and serum albumin fell to 2.7 g/dL. His urine remained red colored, and a microscopic examination with RBC > 500 and WBC up to 10 on a high powered field. His workup was negative for antinuclear antibodies, antineutrophil cytoplasmic antibody, antistreptolysin-O (ASO) and anti-DNase B. Serum C3 was low at 81 mg/dL (reference range, 90-180 mg/dL), C4 was 13.3 mg/dL (reference range, 10-40 mg/dL), and immunoglobulin G was low at 452 mg/dL (reference range 719-1475 mg/dL). A baseline audiology test revealed normal hearing.
Percutaneous renal biopsy yielded about 12 glomeruli, all exhibiting mild mesangial matrix expansion and hypercellularity (Figure 1). One glomerulus had prominent parietal epithelial cells without endocapillary hypercellularity or crescent formation. There was no interstitial fibrosis or tubular atrophy. Immunofluorescence studies showed no evidence of immune complex deposition with negative staining for immunoglobulin heavy and light chains, C3 and C1q. Staining for α 2 and α 5 units of collagen was normal. Electron microscopy showed patchy areas of severe basement membrane thinning with frequent foci of mild to moderate lamina densa splitting and associated visceral epithelial cell foot process effacement (Figure 2).
These were reported as concerning findings for possible Alport syndrome by 3 independent pathology teams. The genetic testing was submitted at a commercial laboratory to screen 17 mutations, including COL4A3, COL4A4, and COL4A5. Results showed the presence of a heterozygous VUS in the COL4A4 gene (c.1055C > T; p.Pro352Leu; dbSNP ID: rs371717486; PolyPhen-2: Probably Damaging; SIFT: Deleterious) as well as the presence of a heterozygous VUS in TRPC6 gene (c2463A>T; p.Lys821Asn; dbSNP ID: rs199948731; PolyPhen-2: Benign; SIFT: Tolerated). Further genetic investigation by whole exome sequencing on approximately 20,000 genes through MNG Laboratories showed a new heterozygous VUS in the OSGEP gene [c.328T>C; p.Cys110Arg]. Additional studies ruled out mitochondrial disease, CoQ10 deficiency, and metabolic disorders upon normal findings for mitochondrial DNA, urine amino acids, plasma acylcarnitine profile, orotic acid, ammonia, and homocysteine levels.
Figure 3 summarizes the patient’s treatment response during 170 weeks of follow-up (Fall 2019 to Summer 2023). The patient was started on enalapril 0.6 mg/kg daily at week 3, which continued throughout treatment. Following a rheumatology consult at week 30, the patient was started on prednisolone 3 mg/mL to assess the role of inflammation through the treatment response. An initial dose of 2 mg/kg daily (9 mL) for 1 month was followed by every other day treatment that was tapered off by week 48. To control mild but noticeably increasing proteinuria in the interim, subcutaneous anakinra 50 mg (3 mg/kg daily) was added as a steroid
DISCUSSION
This case describes a child with rapidly progressive proteinuria and hematuria following a URI who was found to have VUS mutations in 3 different genes associated with chronic kidney disease. Serology tests on the patient were negative for streptococcal antibodies and antinuclear antibodies, ruling out poststreptococcal glomerulonephritis, or systemic lupus erythematosus. His renal biopsy findings were concerning for altered podocytes, mesangial cells, and basement membrane without inflammatory infiltrate, immune complex, complements, immunoglobulin A, or vasculopathy. His blood inflammatory markers, erythrocyte sedimentation rate, C-reactive protein, and ferritin were normal when his care team initiated daily steroids.
Overall, the patient’s clinical presentation and histopathology findings were suggestive of Alport syndrome or thin basement membrane nephropathy with a high potential to progress into FSGS.10-12 Alport syndrome affects 1 in 5000 to 10,000 children annually due to S-linked inheritance of COL4A5, or autosomal recessive inheritance of COL4A3 or COL4A4 genes. It presents with hematuria and hearing loss.10 Our patient had a single copy COL4A4 gene mutation that was classified as VUS. He also had 2 additional VUS affecting the TRPC6 and OSGEP genes. TRPC6 gene mutation can be associated with FSGS through autosomal dominant inheritance. Both COL4A4 and TRPC6 gene mutations were paternally inherited. Although the patient’s father not having renal disease argues against the clinical significance of these findings, there is literature on the potential role of heterozygous COL4A4 variant mimicking thin basement membrane nephropathy that can lead to renal impairment upon copresence of superimposed conditions.13 The patient’s rapidly progressing hematuria and changes in the basement membrane were worrisome for emerging FSGS. Furthermore, VUS of TRPC6 has been reported in late onset autosomal dominant FSGS and can be associated with early onset steroid-resistant nephrotic syndrome (NS) in children.14 This concern was voiced by 3 nephrology consultants during the initial evaluation, leading to the consensus that steroid treatment for podocytopathy would not alter the patient’s long-term outcomes (ie, progression to FSGS).
Immunomodulation
Our rationale for immunomodulatory treatment was based on the abrupt onset of renal concerns following a URI, suggesting the importance of an inflammatory trigger causing altered homeostasis in a genetically susceptible host. Preclinical models show that microbial products such as lipopolysaccharides can lead to podocytopathy by several mechanisms through activation of toll-like receptor signaling. It can directly cause apoptosis by downregulation of the intracellular Akt survival pathway.15 Lipopolysaccharide can also activate the NF-αB pathway and upregulate the production of interleukin-1 (IL-1) and TNF-α in mesangial cells.16,17
Both cytokines can promote mesangial cell proliferation.18 Through autocrine and paracrine mechanisms, proinflammatory cytokines can further perpetuate somatic tissue changes and contribute to the development of podocytopathy. For instance, TNF-α can promote podocyte injury and proteinuria by downregulation of the slit diaphragm protein expression (ie, nephrin, ezrin, or podocin), and disruption of podocyte cytoskeleton.19,20 TNF-α promotes the influx and activation of macrophages and inflammatory cells. It is actively involved in chronic alterations within the glomeruli by the upregulation of matrix metalloproteases by integrins, as well as activation of myofibroblast progenitors and extracellular matrix deposition in crosstalk with transforming growth factor and other key mediators.17,21,22
For the patient described in this case report, initial improvement on steroids encouraged the pursuit of additional treatment to downregulate inflammatory pathways within the glomerular milieu. However, within the COVID-19 environment, escalating the patient’s treatment using traditional immunomodulators (ie, calcineurin inhibitors or mycophenolate mofetil) was not favored due to the risk of infection. Initially, anakinra, a recombinant IL-1 receptor antagonist, was preferred as a steroid-sparing agent for its short life and safety profile during the pandemic. At first, the patient responded well to anakinra and was allowed a steroid wean when the dose was titrated up to 6 mg/kg daily. However, anakinra did not prevent the escalation of proteinuria following a URI. After the treatment was changed to adalimumab, a fully humanized monoclonal antibody to TNF-α, the patient continued to improve and reach full remission despite experiencing a cold and the flu in the following months.
Literature Review
There is a paucity of literature on applications of biological response modifiers for idiopathic NS and FSGS.23,24 Angeletti and colleagues reported that 3 patients with severe long-standing FSGS benefited from anakinra 4 mg/kg daily to reduce proteinuria and improve kidney function. All the patients had positive C3 staining in renal biopsy and treatment response, which supported the role of C3a in inducing podocyte injury through upregulated expression of IL-1 and IL-1R.23 Trachtman and colleagues reported on the phase II FONT trial that included 14 of 21 patients aged < 18 years with advanced FSGS who were treated with adalimumab 24 mg/m2, or ≤ 40 mg every other week.24 Although, during a 6-month period, none of the 7 patients met the endpoint of reduced proteinuria by ≥ 50%, and the authors suggested that careful patient selection may improve the treatment response in future trials.24
A recent study involving transcriptomics on renal tissue samples combined with available pathology (fibrosis), urinary markers, and clinical characteristics on 285 patients with MCD or FSGS from 3 different continents identified 3 distinct clusters. Patients with evidence of activated kidney TNF pathway (n = 72, aged > 18 years) were found to have poor clinical outcomes.25 The study identified 2 urine markers associated with the TNF pathway (ie, tissue inhibitor of metalloproteinases-1 and monocyte chemoattractant protein-1), which aligns with the preclinical findings previously mentioned.25
Conclusions
The patient’s condition in this case illustrates the complex nature of biologically predetermined cascading events in the emergence of glomerular disease upon environmental triggers under the influence of genetic factors.
Chronic kidney disease affects 7.7% of veterans annually, illustrating the need for new therapeutics.26 Based on our experience and literature review, upregulation of TNF-α is a root cause of glomerulopathy; further studies are warranted to evaluate the efficacy of anti-TNF biologic response modifiers for the treatment of these patients. Long-term postmarketing safety profile and steroid-sparing properties of adalimumab should allow inclusion of pediatric cases in future trials. Results may also contribute to identifying new predictive biomarkers related to the basement membrane when combined with precision nephrology to further advance patient selection and targeted treatment.25,27
Acknowledgments
The authors thank the patient’s mother for providing consent to allow publication of this case report.
Podocytes are terminally differentiated, highly specialized cells located in juxtaposition to the basement membrane over the abluminal surfaces of endothelial cells within the glomerular tuft. This triad structure is the site of the filtration barrier, which forms highly delicate and tightly regulated architecture to carry out the ultrafiltration function of the kidney.1 The filtration barrier is characterized by foot processes that are connected by specialized junctions called slit diaphragms.
Insults to components of the filtration barrier can initiate cascading events and perpetuate structural alterations that may eventually result in sclerotic changes.2 Common causes among children include minimal change disease (MCD) with the collapse of foot processes resulting in proteinuria, Alport syndrome due to mutation of collagen fibers within the basement membrane leading to hematuria and proteinuria, immune complex mediated nephropathy following common infections or autoimmune diseases, and focal segmental glomerulosclerosis (FSGS) that can show variable histopathology toward eventual glomerular scarring.3,4 These children often clinically have minimal, if any, signs of systemic inflammation.3-5 This has been a limiting factor for the commitment to immunomodulatory treatment, except for steroids for the treatment of MCD.6 Although prolonged steroid treatment may be efficacious, adverse effects are significant in a growing child. Alternative treatments, such as tacrolimus and rituximab have been suggested as second-line steroid-sparing agents.7,8 Not uncommonly, however, these cases are managed by supportive measures only during the progression of the natural course of the disease, which may eventually lead to renal failure, requiring transplant for survival.8,9
This case report highlights a child with a variant of uncertain significance (VUS) in genes involved in Alport syndrome and FSGS who developed an abrupt onset of proteinuria and hematuria after a respiratory illness. To our knowledge, he represents the youngest case demonstrating the benefit of targeted treatment against tumor necrosis factor-α (TNF-α) for glomerulopathy using biologic response modifiers.
Case Description
This is currently a 7-year-old male patient who was born at 39 weeks gestation to gravida 3 para 3 following induced labor due to elevated maternal blood pressure. During the first 2 years of life, his growth and development were normal and his immunizations were up to date. The patient's medical history included upper respiratory tract infections (URIs), respiratory syncytial virus, as well as 3 bouts of pneumonia and multiple otitis media that resulted in 18 rounds of antibiotics. The child was also allergic to nuts and milk protein. The patient’s parents are of Northern European and Native American descent. There is no known family history of eye, ear, or kidney diseases.
Renal concerns were first noted at the age of 2 years and 6 months when he presented to an emergency department in Fall 2019 (week 0) for several weeks of intermittent dark-colored urine. His mother reported that the discoloration recently progressed in intensity to cola-colored, along with the onset of persistent vomiting without any fever or diarrhea. On physical examination, the patient had normal vitals: weight 14.8 kg (68th percentile), height 91 cm (24th percentile), and body surface area 0.6 m2. There was no edema, rash, or lymphadenopathy, but he appeared pale.
The patient’s initial laboratory results included: complete blood count with white blood cells (WBC) 10 x 103/L (reference range, 4.5-13.5 x 103/L); differential lymphocytes 69%; neutrophils 21%; hemoglobin 10 g/dL (reference range, 12-16 g/dL); hematocrit, 30%; (reference range, 37%-45%); platelets 437 103/L (reference range, 150-450 x 103/L); serum creatinine 0.46 mg/dL (reference range, 0.5-0.9 mg/dL); and albumin 3.1 g/dL (reference range, 3.5-5.2 g/dL). Serum electrolyte levels and liver enzymes were normal. A urine analysis revealed 3+ protein and 3+ blood with dysmorphic red blood cells (RBC) and RBC casts without WBC. The patient's spot urine protein-to-creatinine ratio was 4.3 and his renal ultrasound was normal. The patient was referred to Nephrology.
During the next 2 weeks, his protein-to-creatinine ratio progressed to 5.9 and serum albumin fell to 2.7 g/dL. His urine remained red colored, and a microscopic examination with RBC > 500 and WBC up to 10 on a high powered field. His workup was negative for antinuclear antibodies, antineutrophil cytoplasmic antibody, antistreptolysin-O (ASO) and anti-DNase B. Serum C3 was low at 81 mg/dL (reference range, 90-180 mg/dL), C4 was 13.3 mg/dL (reference range, 10-40 mg/dL), and immunoglobulin G was low at 452 mg/dL (reference range 719-1475 mg/dL). A baseline audiology test revealed normal hearing.
Percutaneous renal biopsy yielded about 12 glomeruli, all exhibiting mild mesangial matrix expansion and hypercellularity (Figure 1). One glomerulus had prominent parietal epithelial cells without endocapillary hypercellularity or crescent formation. There was no interstitial fibrosis or tubular atrophy. Immunofluorescence studies showed no evidence of immune complex deposition with negative staining for immunoglobulin heavy and light chains, C3 and C1q. Staining for α 2 and α 5 units of collagen was normal. Electron microscopy showed patchy areas of severe basement membrane thinning with frequent foci of mild to moderate lamina densa splitting and associated visceral epithelial cell foot process effacement (Figure 2).
These were reported as concerning findings for possible Alport syndrome by 3 independent pathology teams. The genetic testing was submitted at a commercial laboratory to screen 17 mutations, including COL4A3, COL4A4, and COL4A5. Results showed the presence of a heterozygous VUS in the COL4A4 gene (c.1055C > T; p.Pro352Leu; dbSNP ID: rs371717486; PolyPhen-2: Probably Damaging; SIFT: Deleterious) as well as the presence of a heterozygous VUS in TRPC6 gene (c2463A>T; p.Lys821Asn; dbSNP ID: rs199948731; PolyPhen-2: Benign; SIFT: Tolerated). Further genetic investigation by whole exome sequencing on approximately 20,000 genes through MNG Laboratories showed a new heterozygous VUS in the OSGEP gene [c.328T>C; p.Cys110Arg]. Additional studies ruled out mitochondrial disease, CoQ10 deficiency, and metabolic disorders upon normal findings for mitochondrial DNA, urine amino acids, plasma acylcarnitine profile, orotic acid, ammonia, and homocysteine levels.
Figure 3 summarizes the patient’s treatment response during 170 weeks of follow-up (Fall 2019 to Summer 2023). The patient was started on enalapril 0.6 mg/kg daily at week 3, which continued throughout treatment. Following a rheumatology consult at week 30, the patient was started on prednisolone 3 mg/mL to assess the role of inflammation through the treatment response. An initial dose of 2 mg/kg daily (9 mL) for 1 month was followed by every other day treatment that was tapered off by week 48. To control mild but noticeably increasing proteinuria in the interim, subcutaneous anakinra 50 mg (3 mg/kg daily) was added as a steroid
DISCUSSION
This case describes a child with rapidly progressive proteinuria and hematuria following a URI who was found to have VUS mutations in 3 different genes associated with chronic kidney disease. Serology tests on the patient were negative for streptococcal antibodies and antinuclear antibodies, ruling out poststreptococcal glomerulonephritis, or systemic lupus erythematosus. His renal biopsy findings were concerning for altered podocytes, mesangial cells, and basement membrane without inflammatory infiltrate, immune complex, complements, immunoglobulin A, or vasculopathy. His blood inflammatory markers, erythrocyte sedimentation rate, C-reactive protein, and ferritin were normal when his care team initiated daily steroids.
Overall, the patient’s clinical presentation and histopathology findings were suggestive of Alport syndrome or thin basement membrane nephropathy with a high potential to progress into FSGS.10-12 Alport syndrome affects 1 in 5000 to 10,000 children annually due to S-linked inheritance of COL4A5, or autosomal recessive inheritance of COL4A3 or COL4A4 genes. It presents with hematuria and hearing loss.10 Our patient had a single copy COL4A4 gene mutation that was classified as VUS. He also had 2 additional VUS affecting the TRPC6 and OSGEP genes. TRPC6 gene mutation can be associated with FSGS through autosomal dominant inheritance. Both COL4A4 and TRPC6 gene mutations were paternally inherited. Although the patient’s father not having renal disease argues against the clinical significance of these findings, there is literature on the potential role of heterozygous COL4A4 variant mimicking thin basement membrane nephropathy that can lead to renal impairment upon copresence of superimposed conditions.13 The patient’s rapidly progressing hematuria and changes in the basement membrane were worrisome for emerging FSGS. Furthermore, VUS of TRPC6 has been reported in late onset autosomal dominant FSGS and can be associated with early onset steroid-resistant nephrotic syndrome (NS) in children.14 This concern was voiced by 3 nephrology consultants during the initial evaluation, leading to the consensus that steroid treatment for podocytopathy would not alter the patient’s long-term outcomes (ie, progression to FSGS).
Immunomodulation
Our rationale for immunomodulatory treatment was based on the abrupt onset of renal concerns following a URI, suggesting the importance of an inflammatory trigger causing altered homeostasis in a genetically susceptible host. Preclinical models show that microbial products such as lipopolysaccharides can lead to podocytopathy by several mechanisms through activation of toll-like receptor signaling. It can directly cause apoptosis by downregulation of the intracellular Akt survival pathway.15 Lipopolysaccharide can also activate the NF-αB pathway and upregulate the production of interleukin-1 (IL-1) and TNF-α in mesangial cells.16,17
Both cytokines can promote mesangial cell proliferation.18 Through autocrine and paracrine mechanisms, proinflammatory cytokines can further perpetuate somatic tissue changes and contribute to the development of podocytopathy. For instance, TNF-α can promote podocyte injury and proteinuria by downregulation of the slit diaphragm protein expression (ie, nephrin, ezrin, or podocin), and disruption of podocyte cytoskeleton.19,20 TNF-α promotes the influx and activation of macrophages and inflammatory cells. It is actively involved in chronic alterations within the glomeruli by the upregulation of matrix metalloproteases by integrins, as well as activation of myofibroblast progenitors and extracellular matrix deposition in crosstalk with transforming growth factor and other key mediators.17,21,22
For the patient described in this case report, initial improvement on steroids encouraged the pursuit of additional treatment to downregulate inflammatory pathways within the glomerular milieu. However, within the COVID-19 environment, escalating the patient’s treatment using traditional immunomodulators (ie, calcineurin inhibitors or mycophenolate mofetil) was not favored due to the risk of infection. Initially, anakinra, a recombinant IL-1 receptor antagonist, was preferred as a steroid-sparing agent for its short life and safety profile during the pandemic. At first, the patient responded well to anakinra and was allowed a steroid wean when the dose was titrated up to 6 mg/kg daily. However, anakinra did not prevent the escalation of proteinuria following a URI. After the treatment was changed to adalimumab, a fully humanized monoclonal antibody to TNF-α, the patient continued to improve and reach full remission despite experiencing a cold and the flu in the following months.
Literature Review
There is a paucity of literature on applications of biological response modifiers for idiopathic NS and FSGS.23,24 Angeletti and colleagues reported that 3 patients with severe long-standing FSGS benefited from anakinra 4 mg/kg daily to reduce proteinuria and improve kidney function. All the patients had positive C3 staining in renal biopsy and treatment response, which supported the role of C3a in inducing podocyte injury through upregulated expression of IL-1 and IL-1R.23 Trachtman and colleagues reported on the phase II FONT trial that included 14 of 21 patients aged < 18 years with advanced FSGS who were treated with adalimumab 24 mg/m2, or ≤ 40 mg every other week.24 Although, during a 6-month period, none of the 7 patients met the endpoint of reduced proteinuria by ≥ 50%, and the authors suggested that careful patient selection may improve the treatment response in future trials.24
A recent study involving transcriptomics on renal tissue samples combined with available pathology (fibrosis), urinary markers, and clinical characteristics on 285 patients with MCD or FSGS from 3 different continents identified 3 distinct clusters. Patients with evidence of activated kidney TNF pathway (n = 72, aged > 18 years) were found to have poor clinical outcomes.25 The study identified 2 urine markers associated with the TNF pathway (ie, tissue inhibitor of metalloproteinases-1 and monocyte chemoattractant protein-1), which aligns with the preclinical findings previously mentioned.25
Conclusions
The patient’s condition in this case illustrates the complex nature of biologically predetermined cascading events in the emergence of glomerular disease upon environmental triggers under the influence of genetic factors.
Chronic kidney disease affects 7.7% of veterans annually, illustrating the need for new therapeutics.26 Based on our experience and literature review, upregulation of TNF-α is a root cause of glomerulopathy; further studies are warranted to evaluate the efficacy of anti-TNF biologic response modifiers for the treatment of these patients. Long-term postmarketing safety profile and steroid-sparing properties of adalimumab should allow inclusion of pediatric cases in future trials. Results may also contribute to identifying new predictive biomarkers related to the basement membrane when combined with precision nephrology to further advance patient selection and targeted treatment.25,27
Acknowledgments
The authors thank the patient’s mother for providing consent to allow publication of this case report.
1. Arif E, Nihalani D. Glomerular filtration barrier assembly: an insight. Postdoc J. 2013;1(4):33-45.
2. Garg PA. Review of podocyte biology. Am J Nephrol. 2018;47(suppl 1):3-13. doi:10.1159/000481633SUPPL
3. Warady BA, Agarwal R, Bangalore S, et al. Alport syndrome classification and management. Kidney Med. 2020;2(5):639-649. doi:10.1016/j.xkme.2020.05.014
4. Angioi A, Pani A. FSGS: from pathogenesis to the histological lesion. J Nephrol. 2016;29(4):517-523. doi:10.1007/s40620-016-0333-2
5. Roca N, Martinez C, Jatem E, Madrid A, Lopez M, Segarra A. Activation of the acute inflammatory phase response in idiopathic nephrotic syndrome: association with clinicopathological phenotypes and with response to corticosteroids. Clin Kidney J. 2021;14(4):1207-1215. doi:10.1093/ckj/sfaa247
6. Vivarelli M, Massella L, Ruggiero B, Emma F. Minimal change disease. Clin J Am Soc Nephrol. 2017;12(2):332-345.
7. Medjeral-Thomas NR, Lawrence C, Condon M, et al. Randomized, controlled trial of tacrolimus and prednisolone monotherapy for adults with De Novo minimal change disease: a multicenter, randomized, controlled trial. Clin J Am Soc Nephrol. 2020;15(2):209-218. doi:10.2215/CJN.06290420
8. Ye Q, Lan B, Liu H, Persson PB, Lai EY, Mao J. A critical role of the podocyte cytoskeleton in the pathogenesis of glomerular proteinuria and autoimmune podocytopathies. Acta Physiol (Oxf). 2022;235(4):e13850. doi:10.1111/apha.13850
9. Trautmann A, Schnaidt S, Lipska-Ziμtkiewicz BS, et al. Long-term outcome of steroid-resistant nephrotic syndrome in children. J Am Soc Nephrol. 2017;28:3055-3065. doi:10.1681/ASN.2016101121
10. Kashtan CE, Gross O. Clinical practice recommendations for the diagnosis and management of Alport syndrome in children, adolescents, and young adults-an update for 2020. Pediatr Nephrol. 2021;36(3):711-719. doi:10.1007/s00467-020-04819-6
11. Savige J, Rana K, Tonna S, Buzza M, Dagher H, Wang YY. Thin basement membrane nephropathy. Kidney Int. 2003;64(4):1169-78. doi:10.1046/j.1523-1755.2003.00234.x
12. Rosenberg AZ, Kopp JB. Focal segmental glomerulosclerosis. Clin J Am Soc Nephrol. 2017; 12(3):502-517. doi:10.2215/CJN.05960616
13. Savige J. Should we diagnose autosomal dominant Alport syndrome when there is a pathogenic heterozygous COL4A3 or COL4A4 variant? Kidney Int Rep. 2018;3(6):1239-1241. doi:10.1016/j.ekir.2018.08.002
14. Gigante M, Caridi G, Montemurno E, et al. TRPC6 mutations in children with steroid-resistant nephrotic syndrome and atypical phenotype. Clin J Am Soc Nephrol. 2011;6(7):1626-1634. doi:10.2215/CJN.07830910
15. Saurus P, Kuusela S, Lehtonen E, et al. Podocyte apoptosis is prevented by blocking the toll-like receptor pathway. Cell Death Dis. 2015;6(5):e1752. doi:10.1038/cddis.2015.125
16. Baud L, Oudinet JP, Bens M, et al. Production of tumor necrosis factor by rat mesangial cells in response to bacterial lipopolysaccharide. Kidney Int. 1989;35(5):1111-1118. doi:10.1038/ki.1989.98
17. White S, Lin L, Hu K. NF-κB and tPA signaling in kidney and other diseases. Cells. 2020;9(6):1348. doi:10.3390/cells9061348
18. Tesch GH, Lan HY, Atkins RC, Nikolic-Paterson DJ. Role of interleukin-1 in mesangial cell proliferation and matrix deposition in experimental mesangioproliferative nephritis. Am J Pathol. 1997;151(1):141-150.
19. Lai KN, Leung JCK, Chan LYY, et al. Podocyte injury induced by mesangial-derived cytokines in IgA Nephropathy. Nephrol Dial Transplant. 2009;24(1):62-72. doi:10.1093/ndt/gfn441
20. Saleem MA, Kobayashi Y. Cell biology and genetics of minimal change disease. F1000 Res. 2016;5: F1000 Faculty Rev-412. doi:10.12688/f1000research.7300.1
21. Kim KP, Williams CE, Lemmon CA. Cell-matrix interactions in renal fibrosis. Kidney Dial. 2022;2(4):607-624. doi:10.3390/kidneydial2040055
22. Zvaifler NJ. Relevance of the stroma and epithelial-mesenchymal transition (EMT) for the rheumatic diseases. Arthritis Res Ther. 2006;8(3):210. doi:10.1186/ar1963
23. Angeletti A, Magnasco A, Trivelli A, et al. Refractory minimal change disease and focal segmental glomerular sclerosis treated with Anakinra. Kidney Int Rep. 2021;7(1):121-124. doi:10.1016/j.ekir.2021.10.018
24. Trachtman H, Vento S, Herreshoff E, et al. Efficacy of galactose and adalimumab in patients with resistant focal segmental glomerulosclerosis: report of the font clinical trial group. BMC Nephrol. 2015;16:111. doi:10.1186/s12882-015-0094-5
25. Mariani LH, Eddy S, AlAkwaa FM, et al. Precision nephrology identified tumor necrosis factor activation variability in minimal change disease and focal segmental glomerulosclerosis. Kidney Int. 2023;103(3):565-579. doi:10.1016/j.kint.2022.10.023
26. Korshak L, Washington DL, Powell J, Nylen E, Kokkinos P. Kidney Disease in Veterans. US Dept of Veterans Affairs, Office of Health Equity. Updated May 13, 2020. Accessed June 28, 2024. https://www.va.gov/HEALTHEQUITY/Kidney_Disease_In_Veterans.asp
27. Malone AF, Phelan PJ, Hall G, et al. Rare hereditary COL4A3/COL4A4 variants may be mistaken for familial focal segmental glomerulosclerosis. Kidney Int. 2014;86(6):1253-1259. doi:10.1038/ki.2014.305
1. Arif E, Nihalani D. Glomerular filtration barrier assembly: an insight. Postdoc J. 2013;1(4):33-45.
2. Garg PA. Review of podocyte biology. Am J Nephrol. 2018;47(suppl 1):3-13. doi:10.1159/000481633SUPPL
3. Warady BA, Agarwal R, Bangalore S, et al. Alport syndrome classification and management. Kidney Med. 2020;2(5):639-649. doi:10.1016/j.xkme.2020.05.014
4. Angioi A, Pani A. FSGS: from pathogenesis to the histological lesion. J Nephrol. 2016;29(4):517-523. doi:10.1007/s40620-016-0333-2
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