Data Trends 2023: Eating Disorders

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29. Touma DA et al. Mil Med. 2022;usac180. doi:10.1093/milmed/usac180
30. Flatt RE et al. Eat Behav. 2021;43:101562. doi:10.1016/j.eatbeh.2021.101562
31. Masheb RM et al. Int J Eat Disord. 2021;54(7):1171-1180. doi:10.1002/eat.23501
32. Masheb RM et al. Eat Weight Disord. 2019;24(6):1063-1070. doi:10.1007/s40519-019-00766-w
33. Etuk R et al. Mil Med. 2022;187(3-4):297-303. doi:10.1093/milmed/usab533
34. Serier KN et al. Int J Eat Disord. 2022;55(4):470-480. doi:10.1002/eat.23680

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29. Touma DA et al. Mil Med. 2022;usac180. doi:10.1093/milmed/usac180
30. Flatt RE et al. Eat Behav. 2021;43:101562. doi:10.1016/j.eatbeh.2021.101562
31. Masheb RM et al. Int J Eat Disord. 2021;54(7):1171-1180. doi:10.1002/eat.23501
32. Masheb RM et al. Eat Weight Disord. 2019;24(6):1063-1070. doi:10.1007/s40519-019-00766-w
33. Etuk R et al. Mil Med. 2022;187(3-4):297-303. doi:10.1093/milmed/usab533
34. Serier KN et al. Int J Eat Disord. 2022;55(4):470-480. doi:10.1002/eat.23680

References

29. Touma DA et al. Mil Med. 2022;usac180. doi:10.1093/milmed/usac180
30. Flatt RE et al. Eat Behav. 2021;43:101562. doi:10.1016/j.eatbeh.2021.101562
31. Masheb RM et al. Int J Eat Disord. 2021;54(7):1171-1180. doi:10.1002/eat.23501
32. Masheb RM et al. Eat Weight Disord. 2019;24(6):1063-1070. doi:10.1007/s40519-019-00766-w
33. Etuk R et al. Mil Med. 2022;187(3-4):297-303. doi:10.1093/milmed/usab533
34. Serier KN et al. Int J Eat Disord. 2022;55(4):470-480. doi:10.1002/eat.23680

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Research focused on eating disorders in active-duty service members and veterans is expanding, with recent studies finding significantly high rates of disordered eating behaviors in these populations.29,30 Bulimia nervosa and binge eating disorder are some of the most common among veterans, with increased diuretic use and excessive exercise compared with civilians.30,31 Pressure to meet certain weight requirements during active duty has a large impact on this issue, with many service members reporting disordered behaviors used to make weight.32 Future research should investigate the effect of military-related trauma on the development of eating disorders.29

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Data Trends 2023: Diabetes

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  1. US Department of Veterans Affairs. Nutrition and food services. Diabetes information. Updated December 1, 2022. Accessed April 14, 2023. https://www.nutrition.va.gov/Diabetes.asp
  2. Avramovic S et al. BMJ Open. 2020;10(12):e039489. doi:10.1136/bmjopen-2020-039489
  3. Adhikari S et al. BMC Health Serv Res. 2023;23(1):41. doi:10.1186/s12913-023-09057-8
  4. Zhou P et al. J Diabetes Metab Disord. 2022;21(1):759-768. doi:10.1007/s40200-022-01049-5
  5. Lamprea-Montealegre JA et al. JAMA. 2022;328(9):861-871. doi:10.1001/jama.2022.13885
  6. Fairman KA, Buckley K. Health Psychol. 2021;40(1):1-10. doi:10.1037/hea0000889
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  1. US Department of Veterans Affairs. Nutrition and food services. Diabetes information. Updated December 1, 2022. Accessed April 14, 2023. https://www.nutrition.va.gov/Diabetes.asp
  2. Avramovic S et al. BMJ Open. 2020;10(12):e039489. doi:10.1136/bmjopen-2020-039489
  3. Adhikari S et al. BMC Health Serv Res. 2023;23(1):41. doi:10.1186/s12913-023-09057-8
  4. Zhou P et al. J Diabetes Metab Disord. 2022;21(1):759-768. doi:10.1007/s40200-022-01049-5
  5. Lamprea-Montealegre JA et al. JAMA. 2022;328(9):861-871. doi:10.1001/jama.2022.13885
  6. Fairman KA, Buckley K. Health Psychol. 2021;40(1):1-10. doi:10.1037/hea0000889
References
  1. US Department of Veterans Affairs. Nutrition and food services. Diabetes information. Updated December 1, 2022. Accessed April 14, 2023. https://www.nutrition.va.gov/Diabetes.asp
  2. Avramovic S et al. BMJ Open. 2020;10(12):e039489. doi:10.1136/bmjopen-2020-039489
  3. Adhikari S et al. BMC Health Serv Res. 2023;23(1):41. doi:10.1186/s12913-023-09057-8
  4. Zhou P et al. J Diabetes Metab Disord. 2022;21(1):759-768. doi:10.1007/s40200-022-01049-5
  5. Lamprea-Montealegre JA et al. JAMA. 2022;328(9):861-871. doi:10.1001/jama.2022.13885
  6. Fairman KA, Buckley K. Health Psychol. 2021;40(1):1-10. doi:10.1037/hea0000889
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It is estimated that one-quarter of the 8 million veterans in VHA care have some form of diabetes, with another 3 million having prediabetes.1,2 Higher rates of obesity, older age, and lower socioeconomic status compared with the general public are contributing factors.2 As the long-term impact of the COVID-19 pandemic continues to be studied, it appears that HbA1c testing, prescription fills, and other outpatient care have all returned to prepandemic levels within the VHA, although recent data have revealed adverse outcomes in veterans with diabetic macular edema (DME) who delayed their eyecare appointments in 2020.3,4 As with many areas of health care, some gaps in treatment remain for different racial and ethnic groups that must be addressed to optimize outcomes for all patients.5

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Data Trends 2023: Traumatic Brain Injury

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  1. Howard JT et al. JAMA Netw Open. 2022;5(2):e2148150. doi:10.1001/jamanetworkopen.2021.48150
  2. Cogan AM et al. PM R. 2020;12(3):301-314. doi:10.1002/pmrj.12237
  3. Stewart IJ et al. JAMA Neurol. 2022;79(11):1122-1129. doi:10.1001/jamaneurol.2022.2682
  4. Leng Y et al. Neurology. 2021;96(13):e1792-e1799. doi:10.1212/WNL.0000000000011656
  5. Winkler SL et al. Optom Vis Sci. 2022;99(1):3-8. doi:10.1097/OPX.0000000000001824
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  1. Howard JT et al. JAMA Netw Open. 2022;5(2):e2148150. doi:10.1001/jamanetworkopen.2021.48150
  2. Cogan AM et al. PM R. 2020;12(3):301-314. doi:10.1002/pmrj.12237
  3. Stewart IJ et al. JAMA Neurol. 2022;79(11):1122-1129. doi:10.1001/jamaneurol.2022.2682
  4. Leng Y et al. Neurology. 2021;96(13):e1792-e1799. doi:10.1212/WNL.0000000000011656
  5. Winkler SL et al. Optom Vis Sci. 2022;99(1):3-8. doi:10.1097/OPX.0000000000001824
References
  1. Howard JT et al. JAMA Netw Open. 2022;5(2):e2148150. doi:10.1001/jamanetworkopen.2021.48150
  2. Cogan AM et al. PM R. 2020;12(3):301-314. doi:10.1002/pmrj.12237
  3. Stewart IJ et al. JAMA Neurol. 2022;79(11):1122-1129. doi:10.1001/jamaneurol.2022.2682
  4. Leng Y et al. Neurology. 2021;96(13):e1792-e1799. doi:10.1212/WNL.0000000000011656
  5. Winkler SL et al. Optom Vis Sci. 2022;99(1):3-8. doi:10.1097/OPX.0000000000001824
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TBIs are a neurologic event of concern for veterans, with many high-risk activities involved in military service. Post-9/11 veterans with TBI demonstrate a higher adjusted all-cause mortality rate when compared with the US population and veterans without TBI.1 Sex differences in TBI outcomes also exist, particularly within the frequency of mental health comorbidities.2 Other post-TBI conditions, including cardiovascular disease, sleep disorders, and ocular dysfunction, are prevalent as well.3-5

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Data Trends 2023: Opioid Use Disorder

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7. Bennett AS et al. Ann Med. 2022;54(1):1826-1838. doi:10.1080/07853890.2022.2092896
8. Finlay AK et al. Am J Prev Med. 2022;62(1):e29-e37. doi:10.1016/j.amepre.2021.06.014
9. Peltier MR et al. J Dual Diagn. 2021;17(2):124-134. doi:10.1080/15504263.2021.1904162
10. Beckman KL et al. Am J Prev Med. 2022;62(3):377-386. doi:10.1016/j.amepre.2021.08.020
11. Boyer TL et al. Am J Prev Med. 2022;63(2):168-177. doi:10.1016/j.amepre.2022.02.011
12. Jasuja GK et al. Med Care. 2021;59(suppl 2):S165-S169. doi:10.1097/MLR.0000000000001437
13. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA’s Rapid Naloxone Initiative recognized in fight against opioid overdose deaths. Published June 8, 2021. Accessed April 21, 2023. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5679 
14. Chen EF, et. al. Fed Pract. 2022;39(3):136-141. doi:10.12788/fp.0236

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7. Bennett AS et al. Ann Med. 2022;54(1):1826-1838. doi:10.1080/07853890.2022.2092896
8. Finlay AK et al. Am J Prev Med. 2022;62(1):e29-e37. doi:10.1016/j.amepre.2021.06.014
9. Peltier MR et al. J Dual Diagn. 2021;17(2):124-134. doi:10.1080/15504263.2021.1904162
10. Beckman KL et al. Am J Prev Med. 2022;62(3):377-386. doi:10.1016/j.amepre.2021.08.020
11. Boyer TL et al. Am J Prev Med. 2022;63(2):168-177. doi:10.1016/j.amepre.2022.02.011
12. Jasuja GK et al. Med Care. 2021;59(suppl 2):S165-S169. doi:10.1097/MLR.0000000000001437
13. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA’s Rapid Naloxone Initiative recognized in fight against opioid overdose deaths. Published June 8, 2021. Accessed April 21, 2023. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5679 
14. Chen EF, et. al. Fed Pract. 2022;39(3):136-141. doi:10.12788/fp.0236

References

7. Bennett AS et al. Ann Med. 2022;54(1):1826-1838. doi:10.1080/07853890.2022.2092896
8. Finlay AK et al. Am J Prev Med. 2022;62(1):e29-e37. doi:10.1016/j.amepre.2021.06.014
9. Peltier MR et al. J Dual Diagn. 2021;17(2):124-134. doi:10.1080/15504263.2021.1904162
10. Beckman KL et al. Am J Prev Med. 2022;62(3):377-386. doi:10.1016/j.amepre.2021.08.020
11. Boyer TL et al. Am J Prev Med. 2022;63(2):168-177. doi:10.1016/j.amepre.2022.02.011
12. Jasuja GK et al. Med Care. 2021;59(suppl 2):S165-S169. doi:10.1097/MLR.0000000000001437
13. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA’s Rapid Naloxone Initiative recognized in fight against opioid overdose deaths. Published June 8, 2021. Accessed April 21, 2023. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5679 
14. Chen EF, et. al. Fed Pract. 2022;39(3):136-141. doi:10.12788/fp.0236

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The rate of opioid overdose mortality in veterans increased rapidly over the last decade.7 Several characteristics have been shown to affect opioid-related mortality in veterans—factors such as legal involvement, military sexual trauma, gender identity, and homelessness status.8-12 While widespread initiatives are working to address these issues—with some VA programs demonstrating successful and significant reductions in opioid overdoses13—there is still much work to be done.

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Data Trends 2023: Depression

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1. Moradi Y et al. BMC Psychiatry. 2021;21(1):510. doi:10.1186/s12888-021-03526-2
2. Ziobrowski HN et al. J Affect Disord. 2021;290:227-236. doi:10.1016/j.jad.2021.04.033
3. Szukis H et al. Curr Med Res Opin. 2021;37(8):1393-1401. doi:10.1080/03007995.2021.1918073
4. Levey DF et al. Nat Neurosci. 2021;24(7):954-963. doi:10.1038/s41593-021-00860-2
5. Madore MR et al. J Affect Disord. 2022;297:671-678. doi:10.1016/j.jad.2021.10.025
6. Cheng CM et al. Adv Exp Med Biol. 2021;1305:333-349. doi:10.1007/978-981-33-6044-0_18

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1. Moradi Y et al. BMC Psychiatry. 2021;21(1):510. doi:10.1186/s12888-021-03526-2
2. Ziobrowski HN et al. J Affect Disord. 2021;290:227-236. doi:10.1016/j.jad.2021.04.033
3. Szukis H et al. Curr Med Res Opin. 2021;37(8):1393-1401. doi:10.1080/03007995.2021.1918073
4. Levey DF et al. Nat Neurosci. 2021;24(7):954-963. doi:10.1038/s41593-021-00860-2
5. Madore MR et al. J Affect Disord. 2022;297:671-678. doi:10.1016/j.jad.2021.10.025
6. Cheng CM et al. Adv Exp Med Biol. 2021;1305:333-349. doi:10.1007/978-981-33-6044-0_18

References

1. Moradi Y et al. BMC Psychiatry. 2021;21(1):510. doi:10.1186/s12888-021-03526-2
2. Ziobrowski HN et al. J Affect Disord. 2021;290:227-236. doi:10.1016/j.jad.2021.04.033
3. Szukis H et al. Curr Med Res Opin. 2021;37(8):1393-1401. doi:10.1080/03007995.2021.1918073
4. Levey DF et al. Nat Neurosci. 2021;24(7):954-963. doi:10.1038/s41593-021-00860-2
5. Madore MR et al. J Affect Disord. 2022;297:671-678. doi:10.1016/j.jad.2021.10.025
6. Cheng CM et al. Adv Exp Med Biol. 2021;1305:333-349. doi:10.1007/978-981-33-6044-0_18

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Depression affects nearly a quarter of active-duty service members and veterans worldwide.Common comorbidities in patients with depression include generalized anxiety disorder, PTSD, and panic disorder.2 Additionally, depression—and especially treatment-resistant depression (TRD)—has a high economic burden, with health care costs reaching nearly $20,000 per patient per year.3 New research aims to identify genes associated with depression as well as treatments that may be effective in veterans.3-5

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Data Trends 2023: Homelessness

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24. Nichter B et al. Psychol Med. 2022;1-11. doi:10.1017/S0033291722000617
25. Lin D et al. BMC Psychiatry. 2022;22(1):458. doi:10.1186/s12888-022-04022-x
26. Jutkowitz E et al. R I Med J (2013). 2021;104(4):20-25. Published 2021 May 3.
27. Holliday R et al. Fed Pract. 2022;39(1):8-11. doi:10.12788/fp.0216
28. Koh KA et al. Am J Prev Med. 2022;63(1):13-23. doi:10.1016/j.amepre.2021.12.028

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24. Nichter B et al. Psychol Med. 2022;1-11. doi:10.1017/S0033291722000617
25. Lin D et al. BMC Psychiatry. 2022;22(1):458. doi:10.1186/s12888-022-04022-x
26. Jutkowitz E et al. R I Med J (2013). 2021;104(4):20-25. Published 2021 May 3.
27. Holliday R et al. Fed Pract. 2022;39(1):8-11. doi:10.12788/fp.0216
28. Koh KA et al. Am J Prev Med. 2022;63(1):13-23. doi:10.1016/j.amepre.2021.12.028

References

24. Nichter B et al. Psychol Med. 2022;1-11. doi:10.1017/S0033291722000617
25. Lin D et al. BMC Psychiatry. 2022;22(1):458. doi:10.1186/s12888-022-04022-x
26. Jutkowitz E et al. R I Med J (2013). 2021;104(4):20-25. Published 2021 May 3.
27. Holliday R et al. Fed Pract. 2022;39(1):8-11. doi:10.12788/fp.0216
28. Koh KA et al. Am J Prev Med. 2022;63(1):13-23. doi:10.1016/j.amepre.2021.12.028

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Veterans have a higher lifetime prevalence and many risk factors that increase their odds of homelessness compared with the general population.24 Some of these risk factors include adverse childhood experiences, depression, PTSD, and lower educational attainment.24 Schizophrenia and neurodegenerative disorders have also been associated with homelessness in veterans.25,26 VA programs focused on case management services and temporary housing are working to lessen the burden of homelessness.27

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Data Trends 2023: PTSD and Psychedelic Treatments

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15. US Department of Veterans Affairs. How common is PTSD in veterans? Updated February 3, 2023. Accessed April 21, 2023. https://www.ptsd.va.gov/understand/common/common_veterans.asp
16. Murphy D, Smith KV. J Trauma Stress. 2018;31(5):753-763. doi:10.1002/jts.22333
17. Gray JC et al. Mil Med. 2022;usac400. doi:10.1093/milmed/usac400
18. Herrington AJ. VA studying psychedelics as mental health treatment for veterans. Forbes. Published June 24, 2022. Accessed April 21, 2023. https://www.forbes.com/sites/ajherrington/2022/06/24/va-studying-psychedelics-as-mental-health-treatment-for-veterans/?sh=149266f6c0d4
19. Search of: Veterans: Ketamine - list results. ClinicalTrials.gov. https://clinicaltrials.gov/ct2/results?cond=ketamine&term=veterans&cntry=&state=&city=&dist=. Accessed March 23, 2023.
20. Mithoefer MC et al. Lancet Psychiatry. 2018;5(6):486-497. doi:10.1016/S2215-0366(18)30135-4
21. Mitchell JM et al. Nat Med. 2021;27(6):1025-1033. doi:10.1038/s41591-021-01336-3
22. Abdallah CG et al. Neuropsychopharmacology. 2022;47(8):1574-1581. doi:10.1038/s41386-022-01266-9
23. Artin H et al. EClinicalMedicine. 2022;48:101439. doi:10.1016/j.eclinm.2022.101439

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15. US Department of Veterans Affairs. How common is PTSD in veterans? Updated February 3, 2023. Accessed April 21, 2023. https://www.ptsd.va.gov/understand/common/common_veterans.asp
16. Murphy D, Smith KV. J Trauma Stress. 2018;31(5):753-763. doi:10.1002/jts.22333
17. Gray JC et al. Mil Med. 2022;usac400. doi:10.1093/milmed/usac400
18. Herrington AJ. VA studying psychedelics as mental health treatment for veterans. Forbes. Published June 24, 2022. Accessed April 21, 2023. https://www.forbes.com/sites/ajherrington/2022/06/24/va-studying-psychedelics-as-mental-health-treatment-for-veterans/?sh=149266f6c0d4
19. Search of: Veterans: Ketamine - list results. ClinicalTrials.gov. https://clinicaltrials.gov/ct2/results?cond=ketamine&term=veterans&cntry=&state=&city=&dist=. Accessed March 23, 2023.
20. Mithoefer MC et al. Lancet Psychiatry. 2018;5(6):486-497. doi:10.1016/S2215-0366(18)30135-4
21. Mitchell JM et al. Nat Med. 2021;27(6):1025-1033. doi:10.1038/s41591-021-01336-3
22. Abdallah CG et al. Neuropsychopharmacology. 2022;47(8):1574-1581. doi:10.1038/s41386-022-01266-9
23. Artin H et al. EClinicalMedicine. 2022;48:101439. doi:10.1016/j.eclinm.2022.101439

References

15. US Department of Veterans Affairs. How common is PTSD in veterans? Updated February 3, 2023. Accessed April 21, 2023. https://www.ptsd.va.gov/understand/common/common_veterans.asp
16. Murphy D, Smith KV. J Trauma Stress. 2018;31(5):753-763. doi:10.1002/jts.22333
17. Gray JC et al. Mil Med. 2022;usac400. doi:10.1093/milmed/usac400
18. Herrington AJ. VA studying psychedelics as mental health treatment for veterans. Forbes. Published June 24, 2022. Accessed April 21, 2023. https://www.forbes.com/sites/ajherrington/2022/06/24/va-studying-psychedelics-as-mental-health-treatment-for-veterans/?sh=149266f6c0d4
19. Search of: Veterans: Ketamine - list results. ClinicalTrials.gov. https://clinicaltrials.gov/ct2/results?cond=ketamine&term=veterans&cntry=&state=&city=&dist=. Accessed March 23, 2023.
20. Mithoefer MC et al. Lancet Psychiatry. 2018;5(6):486-497. doi:10.1016/S2215-0366(18)30135-4
21. Mitchell JM et al. Nat Med. 2021;27(6):1025-1033. doi:10.1038/s41591-021-01336-3
22. Abdallah CG et al. Neuropsychopharmacology. 2022;47(8):1574-1581. doi:10.1038/s41386-022-01266-9
23. Artin H et al. EClinicalMedicine. 2022;48:101439. doi:10.1016/j.eclinm.2022.101439

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Veterans experience a higher lifetime prevalence of PTSD and poorer treatment responses compared with civilians.15,16 Current research is focused on novel treatments, such as psychedelic psychotherapy. Despite some lingering concerns, veterans have reported that they support psychedelic psychotherapy in medical settings if proven beneficial.17 Several VA locations are conducting clinical trials for this novel research, such as the Bronx VA and San Diego VA, among others.18,19 The psychedelic agent that has shown the most promise thus far is 3,4-methylenedioxymethamphetamine (MDMA). In veterans, MDMA has been shown to lower Clinician-Administered PTSD Scale (CAPS) scores by as much as 58.3 points, and is more effective than placebo.20,21 As more psychedelics continue to be explored,22,23 future use of psychedelic psychotherapy could be a gamechanger for the PTSD treatment landscape, so long as current legal barriers are overcome.

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Data Trends 2023: HPV and Related Cancers

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References
  1. Van Dyne EA et al. MMWR Morb Mortal Wkly Rep. 2018;67(33):918-924. doi:10.15585/mmwr.mm6733a2
  2. Nsouli-Maktabi H et al. MSMR. 2013;20(2):17-20. Published February 20, 2013. Accessed April 8, 2023. https://pubmed.ncbi.nlm.nih.gov/23461306/
  3. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  4. Saxena K et al. J Med Econ. 2022;25(1):299-308. doi:10.1080/13696998.2022.2041855
  5. Chidambaram S et al. JAMA Oncol. 2023;e227944. doi:10.1001/jamaoncol.2022.7944
  6. Meites E et al. MMWR Morb Mortal Wkly Rep. 2019;68(32):698-702.
  7. González-Moles MÁ et al. Cancers (Basel). 2022;14(19):4967. doi:10.3390/cancers14194967
  8. Mazul AL et al. Cancer. 2022;128(18):3310-3318. doi:10.1002/cncr.34387
  9. Clark E et al. Clin Infect Dis. 2021;72(9):e359-e366. doi:10.1093/cid/ciaa1162
  10. Rohner E et al. Int J Cancer. 2020;146(3):601-609. doi:10.1002/ijc.32260
  11. Guiguet M et al. Lancet Oncol. 2009;10(12):1152-1159. doi:10.1016/S1470-2045(09)70282-7
  12. Abraham AG et al. J Acquir Immune Defic Syndr. 2013;62(4):405-413. doi:10.1097/QAI.0b013e31828177d7
  13. Massad LS et al. Am J Obstet Gynecol. 2015;212(5):606.e1-e8. doi:10.1016/j.ajog.2014.12.003
  14. Centers for Disease Control and Prevention. Genital HPV infection – basic fact sheet. Updated April 12, 2022. Accessed April 20, 2023. https://www.cdc.gov/std/hpv/stdfact-hpv.htm
  15. US Department of Defense. 2021 Demographics: profile of the military community. Accessed April 20, 2023. https://download.militaryonesource.mil/12038/MOS/Reports/2021-demographics-report.pdf
  16. National Cancer Institute. HPV and cancer. Updated April 4, 2023. Accessed May 4, 2023. https://www.cancer.gov/about-cancer/causesprevention/risk/infectious-agents/hpv-and-cancer
  17. de Martel C et al. Int J Cancer. 2017;141(4):664-670. doi:10.1002/ijc.30716
  18. Daly CM et al. J Community Health. 2018;43(3):441-447. doi:10.1007/s10900-017-0447-z
  19. Centers for Disease Control and Prevention. How many cancers are linked with HPV each year? Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/cases.htm
  20. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  21. Mashberg A et al. Cancer. 1993;72(4):1369-1375. doi:10.1002/1097-0142(19930815)72:4<1369::AID-CNCR2820720436>3.0.CO;2-L
  22. Agha Z et al. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252
  23. Singh JA et al. J Am Geriatr Soc. 2005;53(1):108-113. doi:10.1111/j.1532-5415.2005.53020.x
  24. Morgan RO et al. Health Serv Res. 2005;40(5 pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x
  25. National Cancer Institute. Head and neck cancers. Updated May 25, 2021. Accessed May 4, 2023. https://www.cancer.gov/types/head-and-neck/head-neck-fact-sheet
  26. Odani S et al. MMWR Morb Mortal Wkly Rep. 2018;67(1):7-12. doi:10.15585/mmwr.mm6701a2
  27. Ames G, Cunradi C. Alcohol use and preventing alcohol-related problems among young adults in the military. Alcohol Res Health. 2004;28(4):252-257.
  28. Di Credico G et al. Br J Cancer. 2020;123(9):1456-1463. doi:10.1038/s41416-020-01031-z
  29. Centers for Disease Control and Prevention. HPV-associated cancer risks. Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/index.htm
  30. Sandulache VC et al. Head Neck. 2015;37(9):1246-1253. doi:10.1002/hed.23740
Publications
Topics
References
  1. Van Dyne EA et al. MMWR Morb Mortal Wkly Rep. 2018;67(33):918-924. doi:10.15585/mmwr.mm6733a2
  2. Nsouli-Maktabi H et al. MSMR. 2013;20(2):17-20. Published February 20, 2013. Accessed April 8, 2023. https://pubmed.ncbi.nlm.nih.gov/23461306/
  3. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  4. Saxena K et al. J Med Econ. 2022;25(1):299-308. doi:10.1080/13696998.2022.2041855
  5. Chidambaram S et al. JAMA Oncol. 2023;e227944. doi:10.1001/jamaoncol.2022.7944
  6. Meites E et al. MMWR Morb Mortal Wkly Rep. 2019;68(32):698-702.
  7. González-Moles MÁ et al. Cancers (Basel). 2022;14(19):4967. doi:10.3390/cancers14194967
  8. Mazul AL et al. Cancer. 2022;128(18):3310-3318. doi:10.1002/cncr.34387
  9. Clark E et al. Clin Infect Dis. 2021;72(9):e359-e366. doi:10.1093/cid/ciaa1162
  10. Rohner E et al. Int J Cancer. 2020;146(3):601-609. doi:10.1002/ijc.32260
  11. Guiguet M et al. Lancet Oncol. 2009;10(12):1152-1159. doi:10.1016/S1470-2045(09)70282-7
  12. Abraham AG et al. J Acquir Immune Defic Syndr. 2013;62(4):405-413. doi:10.1097/QAI.0b013e31828177d7
  13. Massad LS et al. Am J Obstet Gynecol. 2015;212(5):606.e1-e8. doi:10.1016/j.ajog.2014.12.003
  14. Centers for Disease Control and Prevention. Genital HPV infection – basic fact sheet. Updated April 12, 2022. Accessed April 20, 2023. https://www.cdc.gov/std/hpv/stdfact-hpv.htm
  15. US Department of Defense. 2021 Demographics: profile of the military community. Accessed April 20, 2023. https://download.militaryonesource.mil/12038/MOS/Reports/2021-demographics-report.pdf
  16. National Cancer Institute. HPV and cancer. Updated April 4, 2023. Accessed May 4, 2023. https://www.cancer.gov/about-cancer/causesprevention/risk/infectious-agents/hpv-and-cancer
  17. de Martel C et al. Int J Cancer. 2017;141(4):664-670. doi:10.1002/ijc.30716
  18. Daly CM et al. J Community Health. 2018;43(3):441-447. doi:10.1007/s10900-017-0447-z
  19. Centers for Disease Control and Prevention. How many cancers are linked with HPV each year? Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/cases.htm
  20. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  21. Mashberg A et al. Cancer. 1993;72(4):1369-1375. doi:10.1002/1097-0142(19930815)72:4<1369::AID-CNCR2820720436>3.0.CO;2-L
  22. Agha Z et al. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252
  23. Singh JA et al. J Am Geriatr Soc. 2005;53(1):108-113. doi:10.1111/j.1532-5415.2005.53020.x
  24. Morgan RO et al. Health Serv Res. 2005;40(5 pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x
  25. National Cancer Institute. Head and neck cancers. Updated May 25, 2021. Accessed May 4, 2023. https://www.cancer.gov/types/head-and-neck/head-neck-fact-sheet
  26. Odani S et al. MMWR Morb Mortal Wkly Rep. 2018;67(1):7-12. doi:10.15585/mmwr.mm6701a2
  27. Ames G, Cunradi C. Alcohol use and preventing alcohol-related problems among young adults in the military. Alcohol Res Health. 2004;28(4):252-257.
  28. Di Credico G et al. Br J Cancer. 2020;123(9):1456-1463. doi:10.1038/s41416-020-01031-z
  29. Centers for Disease Control and Prevention. HPV-associated cancer risks. Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/index.htm
  30. Sandulache VC et al. Head Neck. 2015;37(9):1246-1253. doi:10.1002/hed.23740
References
  1. Van Dyne EA et al. MMWR Morb Mortal Wkly Rep. 2018;67(33):918-924. doi:10.15585/mmwr.mm6733a2
  2. Nsouli-Maktabi H et al. MSMR. 2013;20(2):17-20. Published February 20, 2013. Accessed April 8, 2023. https://pubmed.ncbi.nlm.nih.gov/23461306/
  3. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  4. Saxena K et al. J Med Econ. 2022;25(1):299-308. doi:10.1080/13696998.2022.2041855
  5. Chidambaram S et al. JAMA Oncol. 2023;e227944. doi:10.1001/jamaoncol.2022.7944
  6. Meites E et al. MMWR Morb Mortal Wkly Rep. 2019;68(32):698-702.
  7. González-Moles MÁ et al. Cancers (Basel). 2022;14(19):4967. doi:10.3390/cancers14194967
  8. Mazul AL et al. Cancer. 2022;128(18):3310-3318. doi:10.1002/cncr.34387
  9. Clark E et al. Clin Infect Dis. 2021;72(9):e359-e366. doi:10.1093/cid/ciaa1162
  10. Rohner E et al. Int J Cancer. 2020;146(3):601-609. doi:10.1002/ijc.32260
  11. Guiguet M et al. Lancet Oncol. 2009;10(12):1152-1159. doi:10.1016/S1470-2045(09)70282-7
  12. Abraham AG et al. J Acquir Immune Defic Syndr. 2013;62(4):405-413. doi:10.1097/QAI.0b013e31828177d7
  13. Massad LS et al. Am J Obstet Gynecol. 2015;212(5):606.e1-e8. doi:10.1016/j.ajog.2014.12.003
  14. Centers for Disease Control and Prevention. Genital HPV infection – basic fact sheet. Updated April 12, 2022. Accessed April 20, 2023. https://www.cdc.gov/std/hpv/stdfact-hpv.htm
  15. US Department of Defense. 2021 Demographics: profile of the military community. Accessed April 20, 2023. https://download.militaryonesource.mil/12038/MOS/Reports/2021-demographics-report.pdf
  16. National Cancer Institute. HPV and cancer. Updated April 4, 2023. Accessed May 4, 2023. https://www.cancer.gov/about-cancer/causesprevention/risk/infectious-agents/hpv-and-cancer
  17. de Martel C et al. Int J Cancer. 2017;141(4):664-670. doi:10.1002/ijc.30716
  18. Daly CM et al. J Community Health. 2018;43(3):441-447. doi:10.1007/s10900-017-0447-z
  19. Centers for Disease Control and Prevention. How many cancers are linked with HPV each year? Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/cases.htm
  20. Zevallos JP et al. Head Neck. 2021;43(1):108-115. doi:10.1002/hed.26465
  21. Mashberg A et al. Cancer. 1993;72(4):1369-1375. doi:10.1002/1097-0142(19930815)72:4<1369::AID-CNCR2820720436>3.0.CO;2-L
  22. Agha Z et al. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252
  23. Singh JA et al. J Am Geriatr Soc. 2005;53(1):108-113. doi:10.1111/j.1532-5415.2005.53020.x
  24. Morgan RO et al. Health Serv Res. 2005;40(5 pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x
  25. National Cancer Institute. Head and neck cancers. Updated May 25, 2021. Accessed May 4, 2023. https://www.cancer.gov/types/head-and-neck/head-neck-fact-sheet
  26. Odani S et al. MMWR Morb Mortal Wkly Rep. 2018;67(1):7-12. doi:10.15585/mmwr.mm6701a2
  27. Ames G, Cunradi C. Alcohol use and preventing alcohol-related problems among young adults in the military. Alcohol Res Health. 2004;28(4):252-257.
  28. Di Credico G et al. Br J Cancer. 2020;123(9):1456-1463. doi:10.1038/s41416-020-01031-z
  29. Centers for Disease Control and Prevention. HPV-associated cancer risks. Updated October 3, 2022. Accessed May 4, 2023. https://www.cdc.gov/cancer/hpv/statistics/index.htm
  30. Sandulache VC et al. Head Neck. 2015;37(9):1246-1253. doi:10.1002/hed.23740
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The incidence of certain HPV-related cancers, such as oropharyngeal and anal cancers, has risen dramatically over the past 20 years. Oropharyngeal cancer is now the most common HPV-related cancer in the US.1 Active-duty military service members and veterans are twice as likely as the general population to develop oncogenic HPV infections, resulting in a higher risk of HPV-associated cancers and cancer-related mortality.2-4 Yet, HPV vaccination rates among eligible veterans and active-duty military are only half that of their civilian peers.5

Unfortunately, no vaccination requirements or campaigns actively target this population.5 An updated US military policy could include the most recent Advisory Committee on Immunization Practices guidelines on the HPV vaccine and provide guidance on ways to make vaccines more widely available to service members.6

Because of the lack of routine screening procedures and the long latency period between the incident oncogenic HPV infection and the subsequent development of cancer, oropharyngeal cancers are often diagnosed at an advanced stage, which results in increased cancer associated mortality.7 HPV-related cancers may also cause significant clinical and economic burdens for the VHA system.4 Effective vaccination strategies could save the VHA millions of dollars in costs associated with treating these largely preventable cancers.4

The relative risk of cancers is also increased in veterans living HIV.8 Veteran women living with HIV in particular have an increased risk of HPV-associated genital tract cancers, in part because poorly controlled HIV is associated with more frequent and persistent HPV infections earlier in life.9-13

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Impact of Liraglutide to Semaglutide Conversion on Glycemic Control and Cost Savings at a Veterans Affairs Medical Center

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Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4

The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.

As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.

The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without diabetic macular edema. These recommendations excluding various forms of retinopathy were implemented per local institution guidance supporting clinical data from the SUSTAIN trials. Patients diagnosed with these conditions were continued on liraglutide due to an increased risk of DR complications associated with semaglutide.

In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.

 

 

Methods

This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.

Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.

Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.

Participants

Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.

Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.

Outcomes

The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.

The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.

Statistical Analysis

Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.

 

 

Results

figure

During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.

Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.

table 1

Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.

table 2

Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.

Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.

Glycemic Control and Weight Changes

table 3

At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.

Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.

table 4

As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).

Glucose-Lowering Agent Adjustments

table 5

One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.

 

 

Cost Savings

Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.

Discussion

Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.

Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.

It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.

Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and AEs appeared as follows: 27.3% experienced hypoglycemia, and 8.2% experienced GI intolerance. The semaglutide discontinuation rate neared 10%, a majority due to intolerable AEs as previously described. Overall, patients seemed to tolerate the medication well as their glycemic control and weight loss improved. Adherence was not objectively assessed for this QI project but could be an area of improvement for future studies.

At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.

Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.

 

 

Strengths and Limitations

Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).

Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.

Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.

Conclusions

A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.

References

1. 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

2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001

3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320

4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001

5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117

6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141

7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010

8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y

9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2

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Maiah Hardin, PharmD, BCPSa; Fiona Adanse, PharmD, BCPSb,c; Chandler Schexnayder, PharmD, BCPS, BCACP, CDCESb,c;  Janeca Malveaux, PharmD, BCPS, CDCESb,c; Sylvester Agbahiwe, PharmD, BCACPb,c

Correspondence: Maiah Hardin  ([email protected]

aVeterans Affairs Texas Valley Coastal Bend Healthcare System, Corpus Christi

bMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

cBaylor College of Medicine, Houston, Texas

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

The quality improvement project was approved by the Michael E. DeBakey Veterans Affairs Medical Center Quality Assurance and Regulatory Affairs Office. Approval from the Research and Development Committee and Institutional Review Board is not required.

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Maiah Hardin, PharmD, BCPSa; Fiona Adanse, PharmD, BCPSb,c; Chandler Schexnayder, PharmD, BCPS, BCACP, CDCESb,c;  Janeca Malveaux, PharmD, BCPS, CDCESb,c; Sylvester Agbahiwe, PharmD, BCACPb,c

Correspondence: Maiah Hardin  ([email protected]

aVeterans Affairs Texas Valley Coastal Bend Healthcare System, Corpus Christi

bMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

cBaylor College of Medicine, Houston, Texas

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

The quality improvement project was approved by the Michael E. DeBakey Veterans Affairs Medical Center Quality Assurance and Regulatory Affairs Office. Approval from the Research and Development Committee and Institutional Review Board is not required.

Author and Disclosure Information

Maiah Hardin, PharmD, BCPSa; Fiona Adanse, PharmD, BCPSb,c; Chandler Schexnayder, PharmD, BCPS, BCACP, CDCESb,c;  Janeca Malveaux, PharmD, BCPS, CDCESb,c; Sylvester Agbahiwe, PharmD, BCACPb,c

Correspondence: Maiah Hardin  ([email protected]

aVeterans Affairs Texas Valley Coastal Bend Healthcare System, Corpus Christi

bMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

cBaylor College of Medicine, Houston, Texas

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

The quality improvement project was approved by the Michael E. DeBakey Veterans Affairs Medical Center Quality Assurance and Regulatory Affairs Office. Approval from the Research and Development Committee and Institutional Review Board is not required.

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Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4

The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.

As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.

The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without diabetic macular edema. These recommendations excluding various forms of retinopathy were implemented per local institution guidance supporting clinical data from the SUSTAIN trials. Patients diagnosed with these conditions were continued on liraglutide due to an increased risk of DR complications associated with semaglutide.

In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.

 

 

Methods

This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.

Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.

Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.

Participants

Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.

Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.

Outcomes

The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.

The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.

Statistical Analysis

Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.

 

 

Results

figure

During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.

Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.

table 1

Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.

table 2

Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.

Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.

Glycemic Control and Weight Changes

table 3

At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.

Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.

table 4

As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).

Glucose-Lowering Agent Adjustments

table 5

One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.

 

 

Cost Savings

Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.

Discussion

Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.

Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.

It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.

Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and AEs appeared as follows: 27.3% experienced hypoglycemia, and 8.2% experienced GI intolerance. The semaglutide discontinuation rate neared 10%, a majority due to intolerable AEs as previously described. Overall, patients seemed to tolerate the medication well as their glycemic control and weight loss improved. Adherence was not objectively assessed for this QI project but could be an area of improvement for future studies.

At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.

Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.

 

 

Strengths and Limitations

Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).

Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.

Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.

Conclusions

A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.

Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4

The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.

As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.

The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without diabetic macular edema. These recommendations excluding various forms of retinopathy were implemented per local institution guidance supporting clinical data from the SUSTAIN trials. Patients diagnosed with these conditions were continued on liraglutide due to an increased risk of DR complications associated with semaglutide.

In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.

 

 

Methods

This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.

Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.

Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.

Participants

Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.

Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.

Outcomes

The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.

The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.

Statistical Analysis

Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.

 

 

Results

figure

During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.

Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.

table 1

Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.

table 2

Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.

Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.

Glycemic Control and Weight Changes

table 3

At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.

Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.

table 4

As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).

Glucose-Lowering Agent Adjustments

table 5

One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.

 

 

Cost Savings

Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.

Discussion

Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.

Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.

It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.

Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and AEs appeared as follows: 27.3% experienced hypoglycemia, and 8.2% experienced GI intolerance. The semaglutide discontinuation rate neared 10%, a majority due to intolerable AEs as previously described. Overall, patients seemed to tolerate the medication well as their glycemic control and weight loss improved. Adherence was not objectively assessed for this QI project but could be an area of improvement for future studies.

At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.

Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.

 

 

Strengths and Limitations

Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).

Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.

Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.

Conclusions

A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.

References

1. 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

2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001

3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320

4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001

5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117

6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141

7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010

8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y

9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2

References

1. 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

2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001

3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320

4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001

5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117

6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141

7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010

8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y

9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2

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Data Trends 2023: Infertility

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References
  1. US Department of Veteran Affairs. Facts and statistics: women veterans in focus. Updated January 31, 2023. Accessed May 5, 2023. https://www.womenshealth.va.gov/materials-and-resources/facts-and-statistics.asp
  2. US Department of Defense. Department of Defense Releases Annual Demographics Report — Upward Trend in Number of Women Serving Continues. Published December 14, 2022. Accessed June 12, 2023. https://www.defense.gov/News/Releases/Release/Article/3246268/department-of-defense-releases-annual-demographics-report-upwardtrend-in-numbe/
  3. Meadows SO, Collins RL, Schuler MS, Beckman RL, Cefalu M. The Women’s Reproductive Health Survey (WRHS) of active-duty service members. RAND Corporation. Published 2022. Accessed May 5, 2023. https://www.rand.org/pubs/research_reports/RRA1031-1.html
  4. Congressional Research Service Report. Infertility in the military. Updated May 26, 2021. Accessed May 5, 2023. https://crsreports.congress.gov/product/pdf/IF/IF11504
  5. Mancuso AC et al. Am J Obstet Gynecol. 2022;227(5):744.e1-744.e12. doi:10.1016/j.ajog.2022.07.002
  6. Centers for Disease Control and Prevention. Infertility FAQs. Accessed May 5, 2023. https://www.cdc.gov/reproductivehealth/infertility/
  7. Kroll-Desrosiers A et al. J Gen Intern Med. 2023;1-7. Online ahead of print. doi:10.1007/s11606-023-08080-z
  8. US Department of Veterans Affairs. Infertility and IVF. Accessed May 5, 2023. https://www.womenshealth.va.gov/topics/infertility-and-ivf.asp

 

Publications
Topics
References
  1. US Department of Veteran Affairs. Facts and statistics: women veterans in focus. Updated January 31, 2023. Accessed May 5, 2023. https://www.womenshealth.va.gov/materials-and-resources/facts-and-statistics.asp
  2. US Department of Defense. Department of Defense Releases Annual Demographics Report — Upward Trend in Number of Women Serving Continues. Published December 14, 2022. Accessed June 12, 2023. https://www.defense.gov/News/Releases/Release/Article/3246268/department-of-defense-releases-annual-demographics-report-upwardtrend-in-numbe/
  3. Meadows SO, Collins RL, Schuler MS, Beckman RL, Cefalu M. The Women’s Reproductive Health Survey (WRHS) of active-duty service members. RAND Corporation. Published 2022. Accessed May 5, 2023. https://www.rand.org/pubs/research_reports/RRA1031-1.html
  4. Congressional Research Service Report. Infertility in the military. Updated May 26, 2021. Accessed May 5, 2023. https://crsreports.congress.gov/product/pdf/IF/IF11504
  5. Mancuso AC et al. Am J Obstet Gynecol. 2022;227(5):744.e1-744.e12. doi:10.1016/j.ajog.2022.07.002
  6. Centers for Disease Control and Prevention. Infertility FAQs. Accessed May 5, 2023. https://www.cdc.gov/reproductivehealth/infertility/
  7. Kroll-Desrosiers A et al. J Gen Intern Med. 2023;1-7. Online ahead of print. doi:10.1007/s11606-023-08080-z
  8. US Department of Veterans Affairs. Infertility and IVF. Accessed May 5, 2023. https://www.womenshealth.va.gov/topics/infertility-and-ivf.asp

 

References
  1. US Department of Veteran Affairs. Facts and statistics: women veterans in focus. Updated January 31, 2023. Accessed May 5, 2023. https://www.womenshealth.va.gov/materials-and-resources/facts-and-statistics.asp
  2. US Department of Defense. Department of Defense Releases Annual Demographics Report — Upward Trend in Number of Women Serving Continues. Published December 14, 2022. Accessed June 12, 2023. https://www.defense.gov/News/Releases/Release/Article/3246268/department-of-defense-releases-annual-demographics-report-upwardtrend-in-numbe/
  3. Meadows SO, Collins RL, Schuler MS, Beckman RL, Cefalu M. The Women’s Reproductive Health Survey (WRHS) of active-duty service members. RAND Corporation. Published 2022. Accessed May 5, 2023. https://www.rand.org/pubs/research_reports/RRA1031-1.html
  4. Congressional Research Service Report. Infertility in the military. Updated May 26, 2021. Accessed May 5, 2023. https://crsreports.congress.gov/product/pdf/IF/IF11504
  5. Mancuso AC et al. Am J Obstet Gynecol. 2022;227(5):744.e1-744.e12. doi:10.1016/j.ajog.2022.07.002
  6. Centers for Disease Control and Prevention. Infertility FAQs. Accessed May 5, 2023. https://www.cdc.gov/reproductivehealth/infertility/
  7. Kroll-Desrosiers A et al. J Gen Intern Med. 2023;1-7. Online ahead of print. doi:10.1007/s11606-023-08080-z
  8. US Department of Veterans Affairs. Infertility and IVF. Accessed May 5, 2023. https://www.womenshealth.va.gov/topics/infertility-and-ivf.asp

 

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Recent data show that some groups of female active-duty service members are at a higher risk for infertility than others, namely non-Hispanic Black patients, those working in health care occupations, pilots, and aircrew.4 While some data suggest that female infertility in the active-duty population has been decreasing, evidence continues to link occupational exposures to infertility in female veterans.5 One potential reason for this is inconsistent definitions of “infertility” between studies. The CDC recommends treating infertility with medicine, surgery, or assisted reproductive technology (ART); the DoD and VHA offer certain counseling and treatment services for infertility, when medically necessary, but current coverage of ART services is limited.6-8

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