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Patients with CML at higher risk for adverse cardiovascular events in the TKI era
Key clinical point: Patients with chronic myeloid leukemia (CML) in the era of tyrosine kinase inhibitors (TKIs) are at a greater risk for adverse cardiovascular events (ACEs) compared with the general population.
Major finding: From 2001 onwards, the risk for major ACEs (subdistribution hazard ratio [SHR], 1.27; 95% confidence interval [CI], 0.96-1.43) and cardiovascular death (SHR, 0.99; 95% CI, 0.84-1.18) was similar between patients with vs. without CML. However, before 2001, the risk for major ACE (SHR, 0.59; 95% CI, 0.46-0.76) and cardiovascular death (SHR, 0.43; 95% CI, 0.36-0.52) was lower in patients with vs. without CML.
Study details: A population-based retrospective study of 4,238 patients with CML who were age- and sex-matched with 42,380 controls without CML.
Disclosures: The study was funded by the Population Health Research Institute, McMaster University, and Institute of Clinical and Evaluative Sciences. The authors reported no conflicts of interest.
Source: Leong D et al. Heart. 2021 Jan 8. doi: 10.1136/heartjnl-2020-318251.
Key clinical point: Patients with chronic myeloid leukemia (CML) in the era of tyrosine kinase inhibitors (TKIs) are at a greater risk for adverse cardiovascular events (ACEs) compared with the general population.
Major finding: From 2001 onwards, the risk for major ACEs (subdistribution hazard ratio [SHR], 1.27; 95% confidence interval [CI], 0.96-1.43) and cardiovascular death (SHR, 0.99; 95% CI, 0.84-1.18) was similar between patients with vs. without CML. However, before 2001, the risk for major ACE (SHR, 0.59; 95% CI, 0.46-0.76) and cardiovascular death (SHR, 0.43; 95% CI, 0.36-0.52) was lower in patients with vs. without CML.
Study details: A population-based retrospective study of 4,238 patients with CML who were age- and sex-matched with 42,380 controls without CML.
Disclosures: The study was funded by the Population Health Research Institute, McMaster University, and Institute of Clinical and Evaluative Sciences. The authors reported no conflicts of interest.
Source: Leong D et al. Heart. 2021 Jan 8. doi: 10.1136/heartjnl-2020-318251.
Key clinical point: Patients with chronic myeloid leukemia (CML) in the era of tyrosine kinase inhibitors (TKIs) are at a greater risk for adverse cardiovascular events (ACEs) compared with the general population.
Major finding: From 2001 onwards, the risk for major ACEs (subdistribution hazard ratio [SHR], 1.27; 95% confidence interval [CI], 0.96-1.43) and cardiovascular death (SHR, 0.99; 95% CI, 0.84-1.18) was similar between patients with vs. without CML. However, before 2001, the risk for major ACE (SHR, 0.59; 95% CI, 0.46-0.76) and cardiovascular death (SHR, 0.43; 95% CI, 0.36-0.52) was lower in patients with vs. without CML.
Study details: A population-based retrospective study of 4,238 patients with CML who were age- and sex-matched with 42,380 controls without CML.
Disclosures: The study was funded by the Population Health Research Institute, McMaster University, and Institute of Clinical and Evaluative Sciences. The authors reported no conflicts of interest.
Source: Leong D et al. Heart. 2021 Jan 8. doi: 10.1136/heartjnl-2020-318251.
High LDL increases arterial occlusive events risk in CML patients treated with nilotinib
Key clinical point: High levels of cholesterol plasma and low-density lipoprotein (LDL) after 3 months of nilotinib initiation were associated with a higher risk for arterial occlusive events (AOEs) in patients with chronic myeloid leukemia (CML).
Major finding: Cholesterol plasma level greater than 200 mg/dL and LDL greater than 70 mg/dL after 3 months since nilotinib initiation was associated with a significantly higher risk of AOEs (hazard ratio, 3.5; P = .008).
Study details: Findings are from a retrospective study of 369 patients with CML treated with nilotinib.
Disclosures: The study was performed within the framework of the research project funded by P.O.R. SARDEGNA F.S.E. 2014-2020 - Asse III. The authors declared no conflicts of interest.
Source: Caocci G et al. Ann Hematol. 2021 Jan 3. doi: 10.1007/s00277-020-04392-w.
Key clinical point: High levels of cholesterol plasma and low-density lipoprotein (LDL) after 3 months of nilotinib initiation were associated with a higher risk for arterial occlusive events (AOEs) in patients with chronic myeloid leukemia (CML).
Major finding: Cholesterol plasma level greater than 200 mg/dL and LDL greater than 70 mg/dL after 3 months since nilotinib initiation was associated with a significantly higher risk of AOEs (hazard ratio, 3.5; P = .008).
Study details: Findings are from a retrospective study of 369 patients with CML treated with nilotinib.
Disclosures: The study was performed within the framework of the research project funded by P.O.R. SARDEGNA F.S.E. 2014-2020 - Asse III. The authors declared no conflicts of interest.
Source: Caocci G et al. Ann Hematol. 2021 Jan 3. doi: 10.1007/s00277-020-04392-w.
Key clinical point: High levels of cholesterol plasma and low-density lipoprotein (LDL) after 3 months of nilotinib initiation were associated with a higher risk for arterial occlusive events (AOEs) in patients with chronic myeloid leukemia (CML).
Major finding: Cholesterol plasma level greater than 200 mg/dL and LDL greater than 70 mg/dL after 3 months since nilotinib initiation was associated with a significantly higher risk of AOEs (hazard ratio, 3.5; P = .008).
Study details: Findings are from a retrospective study of 369 patients with CML treated with nilotinib.
Disclosures: The study was performed within the framework of the research project funded by P.O.R. SARDEGNA F.S.E. 2014-2020 - Asse III. The authors declared no conflicts of interest.
Source: Caocci G et al. Ann Hematol. 2021 Jan 3. doi: 10.1007/s00277-020-04392-w.
Racial disparities in maternal morbidity persist even with equal access to care
An analysis of data from the U.S. military suggests that the maternal morbidity disparities between Black and White women cannot be attributed solely to differences in access to care and socioeconomics.
Even in the U.S. military health care system, where all service members have universal access to the same facilities and providers, researchers found substantial racial disparities in cesarean deliveries, maternal ICU admission, and overall severe maternal morbidity and mortality between Black patients and White patients, according to findings from a new study presented Jan. 28, 2021, at a meeting sponsored by the Society for Maternal-Fetal Medicine.
“This was surprising given some of the driving theories behind maternal race disparities encountered in this country, such as access to care and socioeconomic status, are controlled for in this health care system,” Capt. Jameaka Hamilton, MD, who presented the research, said in an interview. “Our findings indicate that there are likely additional factors at play which impact the obstetrical outcomes of women based upon their race, including systems-based barriers to accessing the military health care system which contribute to health care disparities, or in systemic or implicit biases which occur within our health care delivery.”
Plenty of recent research has documented the rise in maternal morbidity and mortality in the United States and the considerable racial disparities within those statistics. Black women are twice as likely to suffer morbidity and three to four times more likely to die in childbirth, compared with White women, Dr. Hamilton, an ob.gyn. from the San Antonio Uniformed Services Health Education Consortium at Ft. Sam Houston in San Antonio, Texas, reminded attendees. So far, much of this disparity has been attributed to social determinants of health.
Military retirees, active-duty personnel, and dependents, however, have equal access to federal health insurance and care at military health care facilities, or at covered civilian facilities where needed. Hence the researchers’ hypothesis that the military medical system would not show the same disparities by race that are seen in civilian populations.
The researchers analyzed maternal morbidity data from the Neonatal Perinatal Information Center from April 2018 to March 2019. The retrospective study included data from 13 military treatment facilities that had more than 1,000 deliveries per year. In addition to statistics on cesarean delivery and adult ICU admission, the researchers compared numbers on overall severe maternal morbidity based on the indicators defined by the Centers for Disease Control and Prevention.
The 15,305 deliveries included 23% Black patients and 77% White patients from the Air Force, Army, and Navy branches.
The cesarean delivery rate ranged from 19.4% to 35.5%. ICU admissions totaled 38 women, 190 women had postpartum hemorrhage, and 282 women experienced severe maternal morbidity. All three measures revealed racial disparities:
- Overall severe maternal morbidity occurred in 2.66% of Black women and 1.66% of White women (P =.0001).
- ICU admission occurred in 0.49% of Black women and 0.18% of White women (P =.0026).
- 31.68% of Black women had a cesarean delivery, compared with 23.58% of White women (P <.0001).
After excluding cases with blood transfusions, Black women were twice as likely to have severe maternal morbidity (0.64% vs. 0.32%). There were no significant differences in postpartum hemorrhage rates between Black and White women, but this analysis was limited by the small overall numbers of postpartum hemorrhage.
Among the study’s limitations were the inability to stratify patients by retiree, active duty, or dependent status, and the lack of data on preeclampsia rates, maternal age, obesity, or other preexisting conditions. In addition, the initial dataset included 61% of patients who reported their race as “other” than Black or White, limiting the number of patients whose data could be analyzed. Since low-volume hospitals were excluded, the outcomes could be skewed if lower-volume facilities are more likely to care for more complex cases, Dr. Hamilton added.
Allison Bryant Mantha, MD, MPH, vice chair for quality, equity, and safety in the ob.gyn. department at Massachusetts General Hospital, Boston, praised Dr. Hamilton’s work for revealing that differential access – though still problematic – cannot fully explain inequities between Black women and other women.
“The findings are not shocking given that what underlies some of these inequities – namely structural and institutional racism, and differential treatment within the system – are not exclusive to civilian health care settings,” Dr. Bryant Mantha, who moderated the session, said in an interview. “That said, doing the work to demonstrate this is extremely valuable.”
Although the causes of these disparities are systemic, Dr. Hamilton said individual providers can play a role in addressing them.
“There can certainly be more done to address this dangerous trend at the provider, hospital/institution, and national level,” she said. I think we as providers should continue to self-reflect and address our own biases. Hospitals and institutions should continue to develop policies that draw attention health care disparities.”
Completely removing these inequalities, however, will require confronting the racism embedded in U.S. health care at all levels, Dr. Bryant Mantha suggested.
“Ultimately, moving to an antiracist health care system – and criminal justice system, educational system, political system, etc. – and dismantling the existing structural racism in policies and practices will be needed to drive this change,” Dr. Bryant Mantha said. “Individual clinicians can use their voices to advocate for these changes in their health systems, communities, and states. Awareness of these inequities is critical, as is a sense of collective efficacy that we can, indeed, change the status quo.”
Dr. Hamilton and Dr. Bryant Mantha reported no disclosures.
An analysis of data from the U.S. military suggests that the maternal morbidity disparities between Black and White women cannot be attributed solely to differences in access to care and socioeconomics.
Even in the U.S. military health care system, where all service members have universal access to the same facilities and providers, researchers found substantial racial disparities in cesarean deliveries, maternal ICU admission, and overall severe maternal morbidity and mortality between Black patients and White patients, according to findings from a new study presented Jan. 28, 2021, at a meeting sponsored by the Society for Maternal-Fetal Medicine.
“This was surprising given some of the driving theories behind maternal race disparities encountered in this country, such as access to care and socioeconomic status, are controlled for in this health care system,” Capt. Jameaka Hamilton, MD, who presented the research, said in an interview. “Our findings indicate that there are likely additional factors at play which impact the obstetrical outcomes of women based upon their race, including systems-based barriers to accessing the military health care system which contribute to health care disparities, or in systemic or implicit biases which occur within our health care delivery.”
Plenty of recent research has documented the rise in maternal morbidity and mortality in the United States and the considerable racial disparities within those statistics. Black women are twice as likely to suffer morbidity and three to four times more likely to die in childbirth, compared with White women, Dr. Hamilton, an ob.gyn. from the San Antonio Uniformed Services Health Education Consortium at Ft. Sam Houston in San Antonio, Texas, reminded attendees. So far, much of this disparity has been attributed to social determinants of health.
Military retirees, active-duty personnel, and dependents, however, have equal access to federal health insurance and care at military health care facilities, or at covered civilian facilities where needed. Hence the researchers’ hypothesis that the military medical system would not show the same disparities by race that are seen in civilian populations.
The researchers analyzed maternal morbidity data from the Neonatal Perinatal Information Center from April 2018 to March 2019. The retrospective study included data from 13 military treatment facilities that had more than 1,000 deliveries per year. In addition to statistics on cesarean delivery and adult ICU admission, the researchers compared numbers on overall severe maternal morbidity based on the indicators defined by the Centers for Disease Control and Prevention.
The 15,305 deliveries included 23% Black patients and 77% White patients from the Air Force, Army, and Navy branches.
The cesarean delivery rate ranged from 19.4% to 35.5%. ICU admissions totaled 38 women, 190 women had postpartum hemorrhage, and 282 women experienced severe maternal morbidity. All three measures revealed racial disparities:
- Overall severe maternal morbidity occurred in 2.66% of Black women and 1.66% of White women (P =.0001).
- ICU admission occurred in 0.49% of Black women and 0.18% of White women (P =.0026).
- 31.68% of Black women had a cesarean delivery, compared with 23.58% of White women (P <.0001).
After excluding cases with blood transfusions, Black women were twice as likely to have severe maternal morbidity (0.64% vs. 0.32%). There were no significant differences in postpartum hemorrhage rates between Black and White women, but this analysis was limited by the small overall numbers of postpartum hemorrhage.
Among the study’s limitations were the inability to stratify patients by retiree, active duty, or dependent status, and the lack of data on preeclampsia rates, maternal age, obesity, or other preexisting conditions. In addition, the initial dataset included 61% of patients who reported their race as “other” than Black or White, limiting the number of patients whose data could be analyzed. Since low-volume hospitals were excluded, the outcomes could be skewed if lower-volume facilities are more likely to care for more complex cases, Dr. Hamilton added.
Allison Bryant Mantha, MD, MPH, vice chair for quality, equity, and safety in the ob.gyn. department at Massachusetts General Hospital, Boston, praised Dr. Hamilton’s work for revealing that differential access – though still problematic – cannot fully explain inequities between Black women and other women.
“The findings are not shocking given that what underlies some of these inequities – namely structural and institutional racism, and differential treatment within the system – are not exclusive to civilian health care settings,” Dr. Bryant Mantha, who moderated the session, said in an interview. “That said, doing the work to demonstrate this is extremely valuable.”
Although the causes of these disparities are systemic, Dr. Hamilton said individual providers can play a role in addressing them.
“There can certainly be more done to address this dangerous trend at the provider, hospital/institution, and national level,” she said. I think we as providers should continue to self-reflect and address our own biases. Hospitals and institutions should continue to develop policies that draw attention health care disparities.”
Completely removing these inequalities, however, will require confronting the racism embedded in U.S. health care at all levels, Dr. Bryant Mantha suggested.
“Ultimately, moving to an antiracist health care system – and criminal justice system, educational system, political system, etc. – and dismantling the existing structural racism in policies and practices will be needed to drive this change,” Dr. Bryant Mantha said. “Individual clinicians can use their voices to advocate for these changes in their health systems, communities, and states. Awareness of these inequities is critical, as is a sense of collective efficacy that we can, indeed, change the status quo.”
Dr. Hamilton and Dr. Bryant Mantha reported no disclosures.
An analysis of data from the U.S. military suggests that the maternal morbidity disparities between Black and White women cannot be attributed solely to differences in access to care and socioeconomics.
Even in the U.S. military health care system, where all service members have universal access to the same facilities and providers, researchers found substantial racial disparities in cesarean deliveries, maternal ICU admission, and overall severe maternal morbidity and mortality between Black patients and White patients, according to findings from a new study presented Jan. 28, 2021, at a meeting sponsored by the Society for Maternal-Fetal Medicine.
“This was surprising given some of the driving theories behind maternal race disparities encountered in this country, such as access to care and socioeconomic status, are controlled for in this health care system,” Capt. Jameaka Hamilton, MD, who presented the research, said in an interview. “Our findings indicate that there are likely additional factors at play which impact the obstetrical outcomes of women based upon their race, including systems-based barriers to accessing the military health care system which contribute to health care disparities, or in systemic or implicit biases which occur within our health care delivery.”
Plenty of recent research has documented the rise in maternal morbidity and mortality in the United States and the considerable racial disparities within those statistics. Black women are twice as likely to suffer morbidity and three to four times more likely to die in childbirth, compared with White women, Dr. Hamilton, an ob.gyn. from the San Antonio Uniformed Services Health Education Consortium at Ft. Sam Houston in San Antonio, Texas, reminded attendees. So far, much of this disparity has been attributed to social determinants of health.
Military retirees, active-duty personnel, and dependents, however, have equal access to federal health insurance and care at military health care facilities, or at covered civilian facilities where needed. Hence the researchers’ hypothesis that the military medical system would not show the same disparities by race that are seen in civilian populations.
The researchers analyzed maternal morbidity data from the Neonatal Perinatal Information Center from April 2018 to March 2019. The retrospective study included data from 13 military treatment facilities that had more than 1,000 deliveries per year. In addition to statistics on cesarean delivery and adult ICU admission, the researchers compared numbers on overall severe maternal morbidity based on the indicators defined by the Centers for Disease Control and Prevention.
The 15,305 deliveries included 23% Black patients and 77% White patients from the Air Force, Army, and Navy branches.
The cesarean delivery rate ranged from 19.4% to 35.5%. ICU admissions totaled 38 women, 190 women had postpartum hemorrhage, and 282 women experienced severe maternal morbidity. All three measures revealed racial disparities:
- Overall severe maternal morbidity occurred in 2.66% of Black women and 1.66% of White women (P =.0001).
- ICU admission occurred in 0.49% of Black women and 0.18% of White women (P =.0026).
- 31.68% of Black women had a cesarean delivery, compared with 23.58% of White women (P <.0001).
After excluding cases with blood transfusions, Black women were twice as likely to have severe maternal morbidity (0.64% vs. 0.32%). There were no significant differences in postpartum hemorrhage rates between Black and White women, but this analysis was limited by the small overall numbers of postpartum hemorrhage.
Among the study’s limitations were the inability to stratify patients by retiree, active duty, or dependent status, and the lack of data on preeclampsia rates, maternal age, obesity, or other preexisting conditions. In addition, the initial dataset included 61% of patients who reported their race as “other” than Black or White, limiting the number of patients whose data could be analyzed. Since low-volume hospitals were excluded, the outcomes could be skewed if lower-volume facilities are more likely to care for more complex cases, Dr. Hamilton added.
Allison Bryant Mantha, MD, MPH, vice chair for quality, equity, and safety in the ob.gyn. department at Massachusetts General Hospital, Boston, praised Dr. Hamilton’s work for revealing that differential access – though still problematic – cannot fully explain inequities between Black women and other women.
“The findings are not shocking given that what underlies some of these inequities – namely structural and institutional racism, and differential treatment within the system – are not exclusive to civilian health care settings,” Dr. Bryant Mantha, who moderated the session, said in an interview. “That said, doing the work to demonstrate this is extremely valuable.”
Although the causes of these disparities are systemic, Dr. Hamilton said individual providers can play a role in addressing them.
“There can certainly be more done to address this dangerous trend at the provider, hospital/institution, and national level,” she said. I think we as providers should continue to self-reflect and address our own biases. Hospitals and institutions should continue to develop policies that draw attention health care disparities.”
Completely removing these inequalities, however, will require confronting the racism embedded in U.S. health care at all levels, Dr. Bryant Mantha suggested.
“Ultimately, moving to an antiracist health care system – and criminal justice system, educational system, political system, etc. – and dismantling the existing structural racism in policies and practices will be needed to drive this change,” Dr. Bryant Mantha said. “Individual clinicians can use their voices to advocate for these changes in their health systems, communities, and states. Awareness of these inequities is critical, as is a sense of collective efficacy that we can, indeed, change the status quo.”
Dr. Hamilton and Dr. Bryant Mantha reported no disclosures.
FROM THE PREGNANCY MEETING
CML: Adherence, persistence, and efficacy of second-line dasatinib and nilotinib
Key clinical point: Patients with chronic myeloid leukemia (CML) resistant or intolerant to imatinib showed superior 2-year adherence with second-line therapy dasatinib vs. nilotinib. Efficacy outcomes between both drugs were similar.
Major finding: Mean adherence calculated over 2 years was superior for dasatinib vs. nilotinib (0.91 vs. 0.82; P = .0043). Persistence for both drugs was 77%. At 2 years, 92% of patients were not in progression for both drugs (P = .02163).
Study details: This retrospective observational study evaluated 117 patients with CML treated with dasatinib (n = 70) or nilotinib (n = 47). Included patients showed resistance/intolerance to first-line treatment with imatinib.
Disclosures: The study did not receive any funding. The authors declared no conflicts of interest.
Source: Santoleri F et al. Curr Med Res Opin. 2021 Jan 16. doi: 10.1080/03007995.2021.1876006.
Key clinical point: Patients with chronic myeloid leukemia (CML) resistant or intolerant to imatinib showed superior 2-year adherence with second-line therapy dasatinib vs. nilotinib. Efficacy outcomes between both drugs were similar.
Major finding: Mean adherence calculated over 2 years was superior for dasatinib vs. nilotinib (0.91 vs. 0.82; P = .0043). Persistence for both drugs was 77%. At 2 years, 92% of patients were not in progression for both drugs (P = .02163).
Study details: This retrospective observational study evaluated 117 patients with CML treated with dasatinib (n = 70) or nilotinib (n = 47). Included patients showed resistance/intolerance to first-line treatment with imatinib.
Disclosures: The study did not receive any funding. The authors declared no conflicts of interest.
Source: Santoleri F et al. Curr Med Res Opin. 2021 Jan 16. doi: 10.1080/03007995.2021.1876006.
Key clinical point: Patients with chronic myeloid leukemia (CML) resistant or intolerant to imatinib showed superior 2-year adherence with second-line therapy dasatinib vs. nilotinib. Efficacy outcomes between both drugs were similar.
Major finding: Mean adherence calculated over 2 years was superior for dasatinib vs. nilotinib (0.91 vs. 0.82; P = .0043). Persistence for both drugs was 77%. At 2 years, 92% of patients were not in progression for both drugs (P = .02163).
Study details: This retrospective observational study evaluated 117 patients with CML treated with dasatinib (n = 70) or nilotinib (n = 47). Included patients showed resistance/intolerance to first-line treatment with imatinib.
Disclosures: The study did not receive any funding. The authors declared no conflicts of interest.
Source: Santoleri F et al. Curr Med Res Opin. 2021 Jan 16. doi: 10.1080/03007995.2021.1876006.
Mortality in CML-CP patients receiving frontline second-generation TKIs
Key clinical point: Comparison of mortality rates highlights benefits of second-generation tyrosine kinase inhibitors (TKIs) in elderly patients aged 75 years or more with chronic myeloid leukemia in chronic phase (CML-CP). However, data need further confirmation in long-term studies.
Major finding: Mortality rates reduced in patients with CML-CP aged 75 years and more vs. the general population (−0.65%). The increased rate of mortality in patients with CP-CML in the age groups 0-29, 30-44, 45-59, and 60-74 years was 0.60%, 1.94%, 1.77%, and 1.43%, respectively.
Study details: A retrospective study of 2,315 patients with CP-CML treated with frontline second-generation TKIs.
Disclosures: No information on funding was available. The presenting author M Breccia reported honoraria from Novartis, Incyte, Pfizer, and Celgene. All other authors declared no conflicts of interest.
Source: Breccia M et al. Ann Hematol. 2021 Jan 7. doi: 10.1007/s00277-021-04406-1.
Key clinical point: Comparison of mortality rates highlights benefits of second-generation tyrosine kinase inhibitors (TKIs) in elderly patients aged 75 years or more with chronic myeloid leukemia in chronic phase (CML-CP). However, data need further confirmation in long-term studies.
Major finding: Mortality rates reduced in patients with CML-CP aged 75 years and more vs. the general population (−0.65%). The increased rate of mortality in patients with CP-CML in the age groups 0-29, 30-44, 45-59, and 60-74 years was 0.60%, 1.94%, 1.77%, and 1.43%, respectively.
Study details: A retrospective study of 2,315 patients with CP-CML treated with frontline second-generation TKIs.
Disclosures: No information on funding was available. The presenting author M Breccia reported honoraria from Novartis, Incyte, Pfizer, and Celgene. All other authors declared no conflicts of interest.
Source: Breccia M et al. Ann Hematol. 2021 Jan 7. doi: 10.1007/s00277-021-04406-1.
Key clinical point: Comparison of mortality rates highlights benefits of second-generation tyrosine kinase inhibitors (TKIs) in elderly patients aged 75 years or more with chronic myeloid leukemia in chronic phase (CML-CP). However, data need further confirmation in long-term studies.
Major finding: Mortality rates reduced in patients with CML-CP aged 75 years and more vs. the general population (−0.65%). The increased rate of mortality in patients with CP-CML in the age groups 0-29, 30-44, 45-59, and 60-74 years was 0.60%, 1.94%, 1.77%, and 1.43%, respectively.
Study details: A retrospective study of 2,315 patients with CP-CML treated with frontline second-generation TKIs.
Disclosures: No information on funding was available. The presenting author M Breccia reported honoraria from Novartis, Incyte, Pfizer, and Celgene. All other authors declared no conflicts of interest.
Source: Breccia M et al. Ann Hematol. 2021 Jan 7. doi: 10.1007/s00277-021-04406-1.
Model could reduce some disparities in lung cancer screening
New research suggests that proposed lung cancer screening guidelines could inadvertently increase racial and ethnic disparities, but adding in a risk prediction model could reduce some of these disparities by identifying people with high predicted benefit, regardless of race or ethnicity.
The draft United States Preventive Services Task Force (USPSTF) 2020 guidelines recommend annual lung cancer screening for individuals aged 50-80 who currently smoke or quit in the last 15 years, and who have a smoking history equivalent to at least one pack of cigarettes per day for 20 years or more.
This expands the age range and smoking history requirement compared to the 2013 USPSTF recommendations in an attempt to partially ameliorate racial disparities in screening eligibility. The 2013 guidelines recommend screening ever-smokers aged 55-80 with 30 or more pack-years and 15 or fewer quit-years.
However, neither the 2013 nor the 2020 USPSTF recommendations consider the higher risk of lung cancer and younger ages at diagnosis among African Americans, despite their smoking less than Whites, according to Rebecca Landy, PhD, of the National Cancer Institute in Bethesda, Md.
“For the same age and smoking history as Whites, minorities have substantially different lung cancer risk,” Dr. Landy said. “Incorporating individualized prediction models into USPSTF guidelines may reduce racial/ethnic disparities in lung cancer screening eligibility.”
Dr. Landy and colleagues set out to test that theory, and she presented the results at the 2020 World Congress on Lung Cancer (Abstract 3564), which was rescheduled for January 2021. The results were published in the Journal of the National Cancer Institute.
Study details
Dr. Landy and colleagues modeled the performance of National Lung Screening Trial–like screening (three annual CT screens, 5 years of follow-up) among three cohorts of ever-smokers aged 50-80 using the 2015 National Health Interview Survey.
One group was eligible by USPSTF 2013 guidelines, another by draft USPSTF 2020 guidelines, and yet another by augmenting the USPSTF 2020 guidelines using risk prediction to include individuals with 12 or more days of life gained according to the Life-Years From Screening–CT (LYFS-CT) model.
“Among each race/ethnicity, we calculated the number eligible for screening, proportion of preventable lung cancer deaths prevented, proportion of gainable life-years gained, and screening effectiveness, as well as the relative disparities in lung cancer deaths prevented and life-years gained,” Dr. Landy said.
Results
Under the 2013 guidelines, 8 million ever-smokers were eligible. The disparities in lung cancer death sensitivity, compared to Whites, were 15% for African Americans, 15% for Asian Americans, and 24% for Hispanic Americans. Disparities for life-year gained sensitivity were 15%, 13%, and 24%, respectively.
Under the 2020 draft guidelines, 14.5 million ever-smokers were eligible, but racial/ethnic disparities persisted. Disparities in lung cancer death sensitivity were 13% for African Americans, 19% for Asian Americans, and 27% for Hispanic Americans. Disparities for life-year gained sensitivity were 16%, 19%, and 27%, respectively.
Using the LYFS-CT predictive-risk model added an additional 3.5 million people and “nearly eliminated” disparities for African Americans, Dr. Landy noted. However, disparities persisted for Asian Americans and Hispanic Americans.
Disparities in lung cancer death sensitivity were 0% for African Americans, 19% for Asian Americans, and 23% for Hispanic Americans. Disparities for life-year gained sensitivity were 1%, 19%, and 24%, respectively.
More and widening disparity
The results showed that augmenting USPSTF criteria to include high-benefit people selected significantly more African Americans than Whites and could therefore reduce or even eliminate disparities between Whites and African Americans.
“The 2020 USPSTF draft recommendations would make 6.5 million more people eligible to be screened, in addition to the 8 million from the 2013 criteria,” said Gerard Silvestri, MD, of the Medical University of South Carolina, Charleston, who was not involved in this study.
“But there will be more White people than African American people added, and the disparity between them may widen. Using the risk prediction model outlined in this well-researched study could close the gap in disparity. It’s important to identify individual risk and life expectancy.”
Dr. Silvestri pointed out that, compared to Whites, African Americans develop lung cancer at an earlier age with fewer pack-years history of smoking and have worse outcomes.
“We can’t just focus on one aspect of disparity,” he said. “African Americans are much less likely to be insured or to identify a primary care provider for integrated care. We know that screening works. The 2020 USPSTF draft recommendations will enlarge the pool of eligible African Americans and reduce disparities if the other part of the equation holds; that is, they get access to care and screening.”
This study was funded by the National Institutes of Health/National Cancer Institute. Dr. Landy and Dr. Silvestri have no disclosures.
New research suggests that proposed lung cancer screening guidelines could inadvertently increase racial and ethnic disparities, but adding in a risk prediction model could reduce some of these disparities by identifying people with high predicted benefit, regardless of race or ethnicity.
The draft United States Preventive Services Task Force (USPSTF) 2020 guidelines recommend annual lung cancer screening for individuals aged 50-80 who currently smoke or quit in the last 15 years, and who have a smoking history equivalent to at least one pack of cigarettes per day for 20 years or more.
This expands the age range and smoking history requirement compared to the 2013 USPSTF recommendations in an attempt to partially ameliorate racial disparities in screening eligibility. The 2013 guidelines recommend screening ever-smokers aged 55-80 with 30 or more pack-years and 15 or fewer quit-years.
However, neither the 2013 nor the 2020 USPSTF recommendations consider the higher risk of lung cancer and younger ages at diagnosis among African Americans, despite their smoking less than Whites, according to Rebecca Landy, PhD, of the National Cancer Institute in Bethesda, Md.
“For the same age and smoking history as Whites, minorities have substantially different lung cancer risk,” Dr. Landy said. “Incorporating individualized prediction models into USPSTF guidelines may reduce racial/ethnic disparities in lung cancer screening eligibility.”
Dr. Landy and colleagues set out to test that theory, and she presented the results at the 2020 World Congress on Lung Cancer (Abstract 3564), which was rescheduled for January 2021. The results were published in the Journal of the National Cancer Institute.
Study details
Dr. Landy and colleagues modeled the performance of National Lung Screening Trial–like screening (three annual CT screens, 5 years of follow-up) among three cohorts of ever-smokers aged 50-80 using the 2015 National Health Interview Survey.
One group was eligible by USPSTF 2013 guidelines, another by draft USPSTF 2020 guidelines, and yet another by augmenting the USPSTF 2020 guidelines using risk prediction to include individuals with 12 or more days of life gained according to the Life-Years From Screening–CT (LYFS-CT) model.
“Among each race/ethnicity, we calculated the number eligible for screening, proportion of preventable lung cancer deaths prevented, proportion of gainable life-years gained, and screening effectiveness, as well as the relative disparities in lung cancer deaths prevented and life-years gained,” Dr. Landy said.
Results
Under the 2013 guidelines, 8 million ever-smokers were eligible. The disparities in lung cancer death sensitivity, compared to Whites, were 15% for African Americans, 15% for Asian Americans, and 24% for Hispanic Americans. Disparities for life-year gained sensitivity were 15%, 13%, and 24%, respectively.
Under the 2020 draft guidelines, 14.5 million ever-smokers were eligible, but racial/ethnic disparities persisted. Disparities in lung cancer death sensitivity were 13% for African Americans, 19% for Asian Americans, and 27% for Hispanic Americans. Disparities for life-year gained sensitivity were 16%, 19%, and 27%, respectively.
Using the LYFS-CT predictive-risk model added an additional 3.5 million people and “nearly eliminated” disparities for African Americans, Dr. Landy noted. However, disparities persisted for Asian Americans and Hispanic Americans.
Disparities in lung cancer death sensitivity were 0% for African Americans, 19% for Asian Americans, and 23% for Hispanic Americans. Disparities for life-year gained sensitivity were 1%, 19%, and 24%, respectively.
More and widening disparity
The results showed that augmenting USPSTF criteria to include high-benefit people selected significantly more African Americans than Whites and could therefore reduce or even eliminate disparities between Whites and African Americans.
“The 2020 USPSTF draft recommendations would make 6.5 million more people eligible to be screened, in addition to the 8 million from the 2013 criteria,” said Gerard Silvestri, MD, of the Medical University of South Carolina, Charleston, who was not involved in this study.
“But there will be more White people than African American people added, and the disparity between them may widen. Using the risk prediction model outlined in this well-researched study could close the gap in disparity. It’s important to identify individual risk and life expectancy.”
Dr. Silvestri pointed out that, compared to Whites, African Americans develop lung cancer at an earlier age with fewer pack-years history of smoking and have worse outcomes.
“We can’t just focus on one aspect of disparity,” he said. “African Americans are much less likely to be insured or to identify a primary care provider for integrated care. We know that screening works. The 2020 USPSTF draft recommendations will enlarge the pool of eligible African Americans and reduce disparities if the other part of the equation holds; that is, they get access to care and screening.”
This study was funded by the National Institutes of Health/National Cancer Institute. Dr. Landy and Dr. Silvestri have no disclosures.
New research suggests that proposed lung cancer screening guidelines could inadvertently increase racial and ethnic disparities, but adding in a risk prediction model could reduce some of these disparities by identifying people with high predicted benefit, regardless of race or ethnicity.
The draft United States Preventive Services Task Force (USPSTF) 2020 guidelines recommend annual lung cancer screening for individuals aged 50-80 who currently smoke or quit in the last 15 years, and who have a smoking history equivalent to at least one pack of cigarettes per day for 20 years or more.
This expands the age range and smoking history requirement compared to the 2013 USPSTF recommendations in an attempt to partially ameliorate racial disparities in screening eligibility. The 2013 guidelines recommend screening ever-smokers aged 55-80 with 30 or more pack-years and 15 or fewer quit-years.
However, neither the 2013 nor the 2020 USPSTF recommendations consider the higher risk of lung cancer and younger ages at diagnosis among African Americans, despite their smoking less than Whites, according to Rebecca Landy, PhD, of the National Cancer Institute in Bethesda, Md.
“For the same age and smoking history as Whites, minorities have substantially different lung cancer risk,” Dr. Landy said. “Incorporating individualized prediction models into USPSTF guidelines may reduce racial/ethnic disparities in lung cancer screening eligibility.”
Dr. Landy and colleagues set out to test that theory, and she presented the results at the 2020 World Congress on Lung Cancer (Abstract 3564), which was rescheduled for January 2021. The results were published in the Journal of the National Cancer Institute.
Study details
Dr. Landy and colleagues modeled the performance of National Lung Screening Trial–like screening (three annual CT screens, 5 years of follow-up) among three cohorts of ever-smokers aged 50-80 using the 2015 National Health Interview Survey.
One group was eligible by USPSTF 2013 guidelines, another by draft USPSTF 2020 guidelines, and yet another by augmenting the USPSTF 2020 guidelines using risk prediction to include individuals with 12 or more days of life gained according to the Life-Years From Screening–CT (LYFS-CT) model.
“Among each race/ethnicity, we calculated the number eligible for screening, proportion of preventable lung cancer deaths prevented, proportion of gainable life-years gained, and screening effectiveness, as well as the relative disparities in lung cancer deaths prevented and life-years gained,” Dr. Landy said.
Results
Under the 2013 guidelines, 8 million ever-smokers were eligible. The disparities in lung cancer death sensitivity, compared to Whites, were 15% for African Americans, 15% for Asian Americans, and 24% for Hispanic Americans. Disparities for life-year gained sensitivity were 15%, 13%, and 24%, respectively.
Under the 2020 draft guidelines, 14.5 million ever-smokers were eligible, but racial/ethnic disparities persisted. Disparities in lung cancer death sensitivity were 13% for African Americans, 19% for Asian Americans, and 27% for Hispanic Americans. Disparities for life-year gained sensitivity were 16%, 19%, and 27%, respectively.
Using the LYFS-CT predictive-risk model added an additional 3.5 million people and “nearly eliminated” disparities for African Americans, Dr. Landy noted. However, disparities persisted for Asian Americans and Hispanic Americans.
Disparities in lung cancer death sensitivity were 0% for African Americans, 19% for Asian Americans, and 23% for Hispanic Americans. Disparities for life-year gained sensitivity were 1%, 19%, and 24%, respectively.
More and widening disparity
The results showed that augmenting USPSTF criteria to include high-benefit people selected significantly more African Americans than Whites and could therefore reduce or even eliminate disparities between Whites and African Americans.
“The 2020 USPSTF draft recommendations would make 6.5 million more people eligible to be screened, in addition to the 8 million from the 2013 criteria,” said Gerard Silvestri, MD, of the Medical University of South Carolina, Charleston, who was not involved in this study.
“But there will be more White people than African American people added, and the disparity between them may widen. Using the risk prediction model outlined in this well-researched study could close the gap in disparity. It’s important to identify individual risk and life expectancy.”
Dr. Silvestri pointed out that, compared to Whites, African Americans develop lung cancer at an earlier age with fewer pack-years history of smoking and have worse outcomes.
“We can’t just focus on one aspect of disparity,” he said. “African Americans are much less likely to be insured or to identify a primary care provider for integrated care. We know that screening works. The 2020 USPSTF draft recommendations will enlarge the pool of eligible African Americans and reduce disparities if the other part of the equation holds; that is, they get access to care and screening.”
This study was funded by the National Institutes of Health/National Cancer Institute. Dr. Landy and Dr. Silvestri have no disclosures.
FROM WCLC 2020
CML: Biomarkers can predict relapse in patients on treatment-free remission
Key clinical point: Biomarkers can predict relapse in patients with chronic myeloid leukemia (CML) who are eligible for a controlled treatment interruption.
Major finding: Predictors of CML relapse after treatment interruptions were low levels of cytotoxic cells such as CD56+ with low expression of CD16 and CD94/NKG2 receptors and CD8± T cells expressing TCRγβ+; low expression of activating receptors on the surface of natural killer (NK) and NK T cells; impaired synthesis of proinflammatory cytokines or proteases from NK cells; and HLA-E*0103 homozygosis and KIR haplotype BX.
Study details: The data come from an observational, cross-sectional study of 93 patients with chronic phase CML and 20 age- and gender-matched controls. Among patients with CML, 45 were on treatment with tyrosine kinase inhibitors (TKIs), 27 on sustained treatment-free remission (off TKIs), 15 had a relapse, and 6 had newly diagnosed CML.
Disclosures: The study was funded by the Foundation for Biomedical Research of the Hospital Universitario Ramón y Cajal, the Spanish Ministry of Economy and Competitiveness, and the Spanish AIDS Research Network. The authors declared no conflicts of interest.
Source: Vigón L et al. J Clin Med. 2020 Dec 25. doi: 10.3390/jcm10010042.
Key clinical point: Biomarkers can predict relapse in patients with chronic myeloid leukemia (CML) who are eligible for a controlled treatment interruption.
Major finding: Predictors of CML relapse after treatment interruptions were low levels of cytotoxic cells such as CD56+ with low expression of CD16 and CD94/NKG2 receptors and CD8± T cells expressing TCRγβ+; low expression of activating receptors on the surface of natural killer (NK) and NK T cells; impaired synthesis of proinflammatory cytokines or proteases from NK cells; and HLA-E*0103 homozygosis and KIR haplotype BX.
Study details: The data come from an observational, cross-sectional study of 93 patients with chronic phase CML and 20 age- and gender-matched controls. Among patients with CML, 45 were on treatment with tyrosine kinase inhibitors (TKIs), 27 on sustained treatment-free remission (off TKIs), 15 had a relapse, and 6 had newly diagnosed CML.
Disclosures: The study was funded by the Foundation for Biomedical Research of the Hospital Universitario Ramón y Cajal, the Spanish Ministry of Economy and Competitiveness, and the Spanish AIDS Research Network. The authors declared no conflicts of interest.
Source: Vigón L et al. J Clin Med. 2020 Dec 25. doi: 10.3390/jcm10010042.
Key clinical point: Biomarkers can predict relapse in patients with chronic myeloid leukemia (CML) who are eligible for a controlled treatment interruption.
Major finding: Predictors of CML relapse after treatment interruptions were low levels of cytotoxic cells such as CD56+ with low expression of CD16 and CD94/NKG2 receptors and CD8± T cells expressing TCRγβ+; low expression of activating receptors on the surface of natural killer (NK) and NK T cells; impaired synthesis of proinflammatory cytokines or proteases from NK cells; and HLA-E*0103 homozygosis and KIR haplotype BX.
Study details: The data come from an observational, cross-sectional study of 93 patients with chronic phase CML and 20 age- and gender-matched controls. Among patients with CML, 45 were on treatment with tyrosine kinase inhibitors (TKIs), 27 on sustained treatment-free remission (off TKIs), 15 had a relapse, and 6 had newly diagnosed CML.
Disclosures: The study was funded by the Foundation for Biomedical Research of the Hospital Universitario Ramón y Cajal, the Spanish Ministry of Economy and Competitiveness, and the Spanish AIDS Research Network. The authors declared no conflicts of interest.
Source: Vigón L et al. J Clin Med. 2020 Dec 25. doi: 10.3390/jcm10010042.
Risk factors for COVID-19 mortality in patients with CML
Key clinical point: Older age and imatinib therapy were associated with a higher mortality rate in patients with chronic myeloid leukemia (CML) who contracted COVID-19. However, imatinib could be a confounding factor.
Major finding: Outcome was favorable and fatal in 86% and 14% of patients, respectively. COVID-19 mortality rate was higher in patients aged 75 years vs. less than 75 years (60% vs. 7%; P less than .001) and in those on imatinib vs. second-generation tyrosine kinase inhibitors (TKIs) vs. no TKIs (25% vs. 3% vs. 0%; P = .003). However, 25% vs. 0% of patients treated with imatinib vs. second-generation TKIs were more than 75 years old.
Study details: The CANDID study evaluated 110 cases of COVID-19 in patients with CML reported by physicians to the International CML Foundation until July 1, 2020 across 20 countries.
Disclosures: No study sponsor was identified. The lead author reported ties with BMS, Incyte, Novartis, and Pfizer. Some co-authors also reported ties with various pharmaceutical companies.
Source: Rea D et al. ASH 2020. 2020 Dec 7. Abstract 649.
Key clinical point: Older age and imatinib therapy were associated with a higher mortality rate in patients with chronic myeloid leukemia (CML) who contracted COVID-19. However, imatinib could be a confounding factor.
Major finding: Outcome was favorable and fatal in 86% and 14% of patients, respectively. COVID-19 mortality rate was higher in patients aged 75 years vs. less than 75 years (60% vs. 7%; P less than .001) and in those on imatinib vs. second-generation tyrosine kinase inhibitors (TKIs) vs. no TKIs (25% vs. 3% vs. 0%; P = .003). However, 25% vs. 0% of patients treated with imatinib vs. second-generation TKIs were more than 75 years old.
Study details: The CANDID study evaluated 110 cases of COVID-19 in patients with CML reported by physicians to the International CML Foundation until July 1, 2020 across 20 countries.
Disclosures: No study sponsor was identified. The lead author reported ties with BMS, Incyte, Novartis, and Pfizer. Some co-authors also reported ties with various pharmaceutical companies.
Source: Rea D et al. ASH 2020. 2020 Dec 7. Abstract 649.
Key clinical point: Older age and imatinib therapy were associated with a higher mortality rate in patients with chronic myeloid leukemia (CML) who contracted COVID-19. However, imatinib could be a confounding factor.
Major finding: Outcome was favorable and fatal in 86% and 14% of patients, respectively. COVID-19 mortality rate was higher in patients aged 75 years vs. less than 75 years (60% vs. 7%; P less than .001) and in those on imatinib vs. second-generation tyrosine kinase inhibitors (TKIs) vs. no TKIs (25% vs. 3% vs. 0%; P = .003). However, 25% vs. 0% of patients treated with imatinib vs. second-generation TKIs were more than 75 years old.
Study details: The CANDID study evaluated 110 cases of COVID-19 in patients with CML reported by physicians to the International CML Foundation until July 1, 2020 across 20 countries.
Disclosures: No study sponsor was identified. The lead author reported ties with BMS, Incyte, Novartis, and Pfizer. Some co-authors also reported ties with various pharmaceutical companies.
Source: Rea D et al. ASH 2020. 2020 Dec 7. Abstract 649.
TNF inhibitors may slow spinal progression in axial spondyloarthritis
Patients with axial spondyloarthritis showed reduced spinal radiographic progression after treatment with tumor necrosis factor (TNF) inhibitors, based on data from 314 adults in a prospective cohort study.
Evidence of a link between inflammation and axial damage in patients with axial spondyloarthritis (axSpA) has been reported, and these patients are routinely treated with NSAIDs and TNF inhibitors (TNFi), wrote Alexandre Sepriano, MD, PhD, of Leiden (the Netherlands) University Medical Center, and colleagues.
“However, and despite significant efforts, it remains to be clarified whether there is also an effect of these drugs on axial damage accrual,” they noted.
In a study published in Arthritis & Rheumatology, the researchers recruited consecutive patients from rheumatology practices in Northern Alberta to enroll in the Follow Up Research Cohort in Ankylosing Spondylitis Treatment (ALBERTA FORCAST) observational cohort study. The average age of the patients was 41 years, 74% were men, 83% were HLA-B27 positive, and the average duration of symptoms was 18 years.
Progression was measured via spine radiographs every 2 years for up to 10 years; the radiographs were scored using the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). In addition, the researchers assessed the interaction between TNFi exposure and clinical disease activity using the Ankylosing Spondylitis Disease Activity Score (ASDAS) and the impact on mSASSS every 2 years. The analysis included 442 2-year intervals.
Overall, the researchers found a significant interaction between ASDAS and TNFi at the start of the interval, followed by gradient effect of ASDAS at the start of the interval on mSASSS 2 years later, which was more than twice as high in patients never treated with TNFi (beta = 0.41), compared with patients who were continuously treated with a TNFi (beta = 0.16).
“Similarly, patients treated with TNFi were 30% less likely to develop a new syndesmophyte 2 years later compared to those not treated,” the researchers said.
TNFi also directly slowed progression, as treated patients averaged 0.85 mSASSS units less 2 years later, compared with untreated patients.
Of note, “treatment with NSAIDs during follow-up was neither associated with the outcome nor did it modify or confound the association between TNFi and mSASSS,” the researchers said. In addition, “the direct effect of TNFi on mSASSS was still present after adjusting for a propensity score,” they wrote.
The study results were limited by several factors including the observational design, lack of data on long-term treatment effects, and inability to assess individual TNFi drugs separately, the researchers noted.
However, “the present study informs the rheumatology community by addressing the question as to whether or not TNFi inhibit radiographic progression in axSpA and if this effect is mediated solely by their effects on inflammation, as measured by the ASDAS, or whether additional mechanisms may be relevant,” they emphasized.
“A better understanding of these mechanisms might open avenues to further treatment strategies that might finally lead to effective disease modification in axial SpA,” they concluded.
The ALBERTA FORCAST study was supported by AbbVie. Several authors disclosed financial relationships with AbbVie and other manufacturers of TNFi.
Patients with axial spondyloarthritis showed reduced spinal radiographic progression after treatment with tumor necrosis factor (TNF) inhibitors, based on data from 314 adults in a prospective cohort study.
Evidence of a link between inflammation and axial damage in patients with axial spondyloarthritis (axSpA) has been reported, and these patients are routinely treated with NSAIDs and TNF inhibitors (TNFi), wrote Alexandre Sepriano, MD, PhD, of Leiden (the Netherlands) University Medical Center, and colleagues.
“However, and despite significant efforts, it remains to be clarified whether there is also an effect of these drugs on axial damage accrual,” they noted.
In a study published in Arthritis & Rheumatology, the researchers recruited consecutive patients from rheumatology practices in Northern Alberta to enroll in the Follow Up Research Cohort in Ankylosing Spondylitis Treatment (ALBERTA FORCAST) observational cohort study. The average age of the patients was 41 years, 74% were men, 83% were HLA-B27 positive, and the average duration of symptoms was 18 years.
Progression was measured via spine radiographs every 2 years for up to 10 years; the radiographs were scored using the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). In addition, the researchers assessed the interaction between TNFi exposure and clinical disease activity using the Ankylosing Spondylitis Disease Activity Score (ASDAS) and the impact on mSASSS every 2 years. The analysis included 442 2-year intervals.
Overall, the researchers found a significant interaction between ASDAS and TNFi at the start of the interval, followed by gradient effect of ASDAS at the start of the interval on mSASSS 2 years later, which was more than twice as high in patients never treated with TNFi (beta = 0.41), compared with patients who were continuously treated with a TNFi (beta = 0.16).
“Similarly, patients treated with TNFi were 30% less likely to develop a new syndesmophyte 2 years later compared to those not treated,” the researchers said.
TNFi also directly slowed progression, as treated patients averaged 0.85 mSASSS units less 2 years later, compared with untreated patients.
Of note, “treatment with NSAIDs during follow-up was neither associated with the outcome nor did it modify or confound the association between TNFi and mSASSS,” the researchers said. In addition, “the direct effect of TNFi on mSASSS was still present after adjusting for a propensity score,” they wrote.
The study results were limited by several factors including the observational design, lack of data on long-term treatment effects, and inability to assess individual TNFi drugs separately, the researchers noted.
However, “the present study informs the rheumatology community by addressing the question as to whether or not TNFi inhibit radiographic progression in axSpA and if this effect is mediated solely by their effects on inflammation, as measured by the ASDAS, or whether additional mechanisms may be relevant,” they emphasized.
“A better understanding of these mechanisms might open avenues to further treatment strategies that might finally lead to effective disease modification in axial SpA,” they concluded.
The ALBERTA FORCAST study was supported by AbbVie. Several authors disclosed financial relationships with AbbVie and other manufacturers of TNFi.
Patients with axial spondyloarthritis showed reduced spinal radiographic progression after treatment with tumor necrosis factor (TNF) inhibitors, based on data from 314 adults in a prospective cohort study.
Evidence of a link between inflammation and axial damage in patients with axial spondyloarthritis (axSpA) has been reported, and these patients are routinely treated with NSAIDs and TNF inhibitors (TNFi), wrote Alexandre Sepriano, MD, PhD, of Leiden (the Netherlands) University Medical Center, and colleagues.
“However, and despite significant efforts, it remains to be clarified whether there is also an effect of these drugs on axial damage accrual,” they noted.
In a study published in Arthritis & Rheumatology, the researchers recruited consecutive patients from rheumatology practices in Northern Alberta to enroll in the Follow Up Research Cohort in Ankylosing Spondylitis Treatment (ALBERTA FORCAST) observational cohort study. The average age of the patients was 41 years, 74% were men, 83% were HLA-B27 positive, and the average duration of symptoms was 18 years.
Progression was measured via spine radiographs every 2 years for up to 10 years; the radiographs were scored using the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). In addition, the researchers assessed the interaction between TNFi exposure and clinical disease activity using the Ankylosing Spondylitis Disease Activity Score (ASDAS) and the impact on mSASSS every 2 years. The analysis included 442 2-year intervals.
Overall, the researchers found a significant interaction between ASDAS and TNFi at the start of the interval, followed by gradient effect of ASDAS at the start of the interval on mSASSS 2 years later, which was more than twice as high in patients never treated with TNFi (beta = 0.41), compared with patients who were continuously treated with a TNFi (beta = 0.16).
“Similarly, patients treated with TNFi were 30% less likely to develop a new syndesmophyte 2 years later compared to those not treated,” the researchers said.
TNFi also directly slowed progression, as treated patients averaged 0.85 mSASSS units less 2 years later, compared with untreated patients.
Of note, “treatment with NSAIDs during follow-up was neither associated with the outcome nor did it modify or confound the association between TNFi and mSASSS,” the researchers said. In addition, “the direct effect of TNFi on mSASSS was still present after adjusting for a propensity score,” they wrote.
The study results were limited by several factors including the observational design, lack of data on long-term treatment effects, and inability to assess individual TNFi drugs separately, the researchers noted.
However, “the present study informs the rheumatology community by addressing the question as to whether or not TNFi inhibit radiographic progression in axSpA and if this effect is mediated solely by their effects on inflammation, as measured by the ASDAS, or whether additional mechanisms may be relevant,” they emphasized.
“A better understanding of these mechanisms might open avenues to further treatment strategies that might finally lead to effective disease modification in axial SpA,” they concluded.
The ALBERTA FORCAST study was supported by AbbVie. Several authors disclosed financial relationships with AbbVie and other manufacturers of TNFi.
FROM ARTHRITIS & RHEUMATOLOGY
Which behavioral health screening tool should you use—and when?
Many screening tools are available in the public domain to assess a variety of symptoms related to impaired mental health. These tools can be used to quickly evaluate for mood, suicidal ideation or behavior, anxiety, sleep, substance use, pain, trauma, memory, and cognition (TABLE). Individuals with poor mental health incur high health care costs. Those suffering from anxiety and posttraumatic stress have more outpatient and emergency department visits and hospitalizations than patients without these disorders,1,2 although use of mental health care services has been related to a decrease in the overutilization of health care services in general.3
Here we review several screening tools that can help you to identify symptoms of mental illnesses and thus, provide prompt early intervention, including referrals to psychological and psychiatric services.
Mood disorders
Most patients with mood disorders are treated in primary care settings.4 Quickly measuring patients’ mood symptoms can expedite treatment for those who need it. Many primary care clinics use the 9-item Patient Health Questionnaire (PHQ-9) to screen for depression.5 The US Preventive Services Task Force (USPSTF) has recommended screening for depression with adequate systems to ensure accurate diagnoses, effective treatment, and follow-up. Although the USPSTF did not specially endorse screening for bipolar disorder, it followed that recommendation with the qualifying statement, “positive screening results [for depression] should lead to additional assessment that considers severity of depression and comorbid psychological problems, alternate diagnoses, and medical conditions.”6 Thus, following a positive screen result for depression, consider using a screening tool for mood disorders to provide diagnostic clarification.
The Mood Disorder Questionnaire (MDQ) is a validated 15-item, self-administered questionnaire that takes only 5 minutes to use in screening adult patients for bipolar I disorder.7 The MDQ assesses specific behaviors related to bipolar disorder, symptom co-occurrence, and functional impairment. The MDQ has low sensitivity (58%) but good specificity (93%) in a primary care setting.8 However, the MDQ is not a diagnostic instrument. A positive screen result should prompt a more thorough clinical evaluation, if necessary, by a professional trained in psychiatric disorders.
We recommend completing the MDQ prior to prescribing antidepressants. You can also monitor a patient’s response to treatment with serial MDQ testing. The MDQ is useful, too, when a patient has unclear mood symptoms that may have features overlapping with bipolar disorder. Furthermore, we recommend screening for bipolar disorder with every patient who reports symptoms of depression, given that some pharmacologic treatments (predominately selective serotonin reuptake inhibitors) can induce mania in patients who actually have unrecognized bipolar disorder.9
Continue to: Suicide...
Suicide
Suicide is the 10th leading cause of death among the general population. All demographic groups are impacted by suicide; however, the most vulnerable are men ages 45 to 64 years.10 Given the imminent risk to individuals who experience suicidal ideation, properly assessing and targeting suicidal risk is paramount.
The Columbia Suicide Severity Rating Scale (C-SSRS) can be completed in an interview format or as a patient self-report. Versions of the C-SSRS are available for children, adolescents, and adults. It can be used in practice with any patient who may be at risk for suicide. Specifically, consider using the C-SSRS when a patient scores 1 or greater on the PHQ-9 or when risk is revealed with another brief screening tool that includes suicidal ideation.
The C-SSRS covers 10 categories related to suicidal ideation and behavior that the clinician explores with questions requiring only Yes/No responses. The C-SSRS demonstrates moderate-to-strong internal consistency and reliability, and it has shown a high degree of sensitivity (95%) and specificity (95%) for suicidal ideation.11
Anxiety and physiologic arousal
Generalized anxiety disorder (GAD) is one of the most common anxiety disorders, with an estimated prevalence of 2.8% to 8.5% among primary care patients.12 Brief, validated screening tools such as the Generalized Anxiety Disorder–7 item (GAD-7) scale can be effective in identifying anxiety and other related disorders in primary care settings.
The GAD-7 comprises 7 items inquiring about symptoms experienced in the past 2 weeks. Scores range from 0 to 21, with cutoffs of 5, 10, and 15 indicating mild, moderate, and severe anxiety, respectively. This questionnaire is appropriate for use with adults and has strong specificity, internal consistency, and test-retest reliability.12 Specificity and sensitivity of the GAD-7 are maximized at a cutoff score of 10 or greater, both exceeding 80%.12 The GAD-7 can be used when patients report symptoms of anxiety or when one needs to screen for anxiety with new patients or more clearly understand symptoms among patients who have complex mental health concerns.
The Screen for Child Anxiety Related Disorders (SCARED) is a 41-item self-report measure of anxiety for children ages 8 to 18. The SCARED questionnaire yields an overall anxiety score, as well as subscales for panic disorder or significant somatic symptoms, generalized anxiety disorder, separation anxiety, social anxiety disorder, and significant school avoidance.13 There is also a 5-item version of the SCARED, which can be useful for brief screening in fast-paced settings when no anxiety disorder is suspected, or for children who may have anxiety but exhibit reduced verbal capacity. The SCARED has been found to have moderate sensitivity (81.8%) and specificity (52%) for diagnosing anxiety disorders in a community sample, with an optimal cutoff point of 22 on the total scale.14
Sleep
Sleep concerns are common, with the prevalence of insomnia among adults in the United States estimated to be 19.2%.15 The importance of assessing these concerns cannot be overstated, and primary care providers are the ones patients consult most often.16 The gold standard in assessing sleep disorders is a structured clinical interview, polysomnography, sleep diary, and actigraphy (home-based monitoring of movement through a device, often worn on the wrist).17,18 However, this work-up is expensive, time-intensive, and impractical in integrated care settings; thus the need for a brief, self-report screening tool to guide further assessment and intervention.
The Insomnia Severity Index (ISI) assesses patients’ perceptions of their insomnia. The ISI was developed to aid both in the clinical evaluation of patients with insomnia and to measure treatment outcomes. Administration of the ISI takes approximately 5 minutes, and scoring takes less than 1 minute.
The ISI is composed of 7 items that measure the severity of sleep onset and sleep maintenance difficulties, satisfaction with current sleep, impact on daily functioning, impairment observable to others, and degree of distress caused by the sleep problems. Each item is scored on a 0 to 4 Likert-type scale, and the individual items are summed for a total score of 0 to 28, with higher scores suggesting more severe insomnia. Evidence-based guidelines recommend cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment for adults with primary insomnia.19
Several validation studies have found the ISI to be a reliable measure of perceived insomnia severity, and one that is sensitive to changes in patients’ perceptions of treatment outcomes.20,21 An additional validation study confirmed that in primary care settings, a cutoff score of 14 should be used to indicate the likely presence of clinical insomnia22 and to guide further assessment and intervention.
The percentage of insomniac patients correctly identified with the ISI was 82.2%, with moderate sensitivity (82.4%) and specificity (82.1%).22 A positive predictive value of 70% was found, meaning that an insomnia disorder is probable when the ISI total score is 14 or higher; conversely, the negative predictive value was 90.2%.
Continue to: Substance use and pain...
Substance use and pain
The evaluation of alcohol and drug use is an integral part of assessing risky health behaviors. The 10-item Alcohol Use Disorder Identification Test (AUDIT) is a self-report tool developed by the World Health Organization.23,24 Validated in medical settings, scores of 8 or higher suggest problematic drinking.25,26 The AUDIT has demonstrated high specificity (94%) and moderate sensitivity (81%) in primary care settings.27 The AUDIT-C (items 1, 2, and 3 of the AUDIT) has also demonstrated comparable sensitivity, although slightly lower specificity, than the full AUDIT, suggesting that this 3-question screen can also be used in primary care settings.27
Opioid medications, frequently prescribed for chronic pain, present serious risks for many patients. The Screener and Opioid Assessment for Patients with Pain–Revised (SOAPP-R) is a 24-item self-reporting scale that can be completed in approximately 10 minutes.28 A score of 18 or higher has identified 81% of patients at high risk for opioid misuse in a clinical setting, with moderate specificity (68%). Although other factors should be considered when assessing risk of opioid misuse, the SOAPP-R is a helpful and quick addition to an opioid risk assessment.
The CRAFFT Screening Tool for Adolescent Substance Use is administered by the clinician for youths ages 14 to 21. The first 3 questions ask about use of alcohol, marijuana, or other substances during the past 12 months. What follows are questions related to the young person’s specific experiences with substances in relation to Cars, Relaxation, being Alone, Forgetting, Family/Friends, and Trouble (CRAFFT). The CRAFFT has shown moderate sensitivity (76%) and good specificity (94%) for identifying any problem with substance use.29 These measures may be administered to clarify or confirm substance use patterns (ie, duration, frequency), or to determine the severity of problems related to substance use (ie, social or legal problems).
Trauma and PTSD
Approximately 7.7 million adults per year will experience posttraumatic stress disorder (PTSD) symptoms, although PTSD can affect individuals of any age.30 Given the impact that trauma can have, assess for PTSD in patients who have a history of trauma or who otherwise seem to be at risk. The Post-traumatic Stress Disorder Checklist (PCL-5) is a 20-item self-report questionnaire that screens for symptoms directly from the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) criteria for PTSD. One limitation is that the questionnaire is only validated for adults ages 18 years or older. Completion of the PCL-5 takes 5 to 10 minutes. The PCL-5 has strong internal consistency reliability (94%) and test-retest reliability (82%).31 With a cutoff score of 33 or higher, the sensitivity and specificity have been shown to be moderately high (74.5% and 70.6%, respectively).32
The Child and Adolescent Trauma Screen (CATS) is used to assess for potentially traumatic events and PTSD symptoms in children and adolescents. These symptoms are based on the DSM-5, and therefore the CATS can act as a useful diagnostic aid. The CATS is also available in Spanish, with both caregiver-report (for children ages 3-6 years or 7-17 years) and self-report (for ages 7-17 years) versions. Practical use of the PCL-5 and the CATS involves screening for PTSD symptoms, supporting a provisional diagnosis of PTSD, and monitoring PTSD symptom changes during and after treatment.
Memory and cognition
Cognitive screening is a first step in evaluating possible dementia and other neuropsychological disorders. The importance of brief cognitive screening in primary care cannot be understated, especially for an aging patient population. Although the Mini Mental Status Exam (MMSE) has been widely used among health care providers and researchers, we recommend the Montreal Cognitive Assessment (MoCA).
The MoCA is a simple, standalone cognitive screening tool validated for adults ages 55 to 85 years.33 The MoCA addresses many important cognitive domains, fits on one page, and can be administered by a trained provider in 10 minutes. Research also suggests that it has strong test-retest reliability and positive and negative predictive values for mild cognitive impairment and Alzheimer dementia, and it has been found to be more sensitive than the MMSE.34 We additionally recommend the MoCA as it measures several cognitive skills that are not addressed on the MMSE, including verbal fluency and abstraction.34 Scores below 25 are suggestive of cognitive impairment and should lead to a referral for neuropsychological testing.
The MoCA’s sensitivity for detecting cognitive impairment is high (94%), and specificity is low (42%).35 To ensure consistency and accuracy in administering the MoCA, certification is now required via an online training program through www.mocatest.org.
Adapting these screening tools to practice
These tools are not meant to be used at every appointment. Every practice is different, and each clinic or physician can tailor the use of these screening tools to the needs of the patient population, as concerns arise, or in collaboration with other providers. Additionally, these screening tools can be used in both integrated care and in private practice, to prompt a more thorough assessment or to aid in—and inform—treatment. Although some physicians choose to administer certain screening tools at each clinic visit, knowing about the availability of other tools can be useful in assessing various issues. The FIGURE can be used to aid in the clinical decision-making process.
- Robinson RL, Grabner M, Palli SR, et al. Covariates of depression and high utilizers of healthcare: impact on resource use and costs. J Psychosom Res. 2016,85:35-43.
- Fogarty CT, Sharma S, Chetty VK, et al. Mental health conditions are associated with increased health care utilization among urban family medicine patients. J Am Board Fam Med. 2008,21:398-407.
- Weissman JD, Russell D, Beasley J, et al. Relationships between adult emotional states and indicators of health care utilization: findings from the National Health Interview Survey 2006–2014. J Psychosom Res. 2016,91:75-81.
- Haddad M, Walters P. Mood disorders in primary care. Psychiatry. 2009,8:71-75.
- Mitchell AJ, Yadegarfar M, Gill J, et al. Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic metaanalysis of 40 studies. BJPsych Open. 2016,2:127-138.
- Siu AL and US Preventive Services Task Force. Screening for depression in adults. JAMA. 2016;315:380-387.
- Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157:1873-1875.
- Hirschfeld RM, Cass AR, Holt DC, et al. Screening for bipolar disorder in patients treated for depression in a family medicine clinic. J Am Board Fam Med. 2005;18:233-239.
- Das AK, Olfson M, Gameroff MJ, et al. Screening for bipolar disorder in a primary care practice. JAMA. 2005;293:956-963.
- CDC. Suicide mortality in the United States, 1999-2017. www.cdc.gov/nchs/products/databriefs/db330.htm. Accessed October 23, 2020.
- Viguera AC, Milano N, Ralston L, et al. Comparison of electronic screening for suicidal risk with Patient Health Questionnaire Item 9 and the Columbia Suicide Severity Rating Scale in an outpatient psychiatric clinic. Psychosomatics. 2015;56:460-469.
- Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092-1097.
- Birmaher B, Khetarpal S, Brent D, et al. The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. J Am Acad Chil Adolesc Psychiatry. 1997;36:545-553.
- DeSousa DA, Salum GA, Isolan LR, et al. Sensitivity and specificity of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a community-based study. Child Psychiatry Hum Dev. 2013;44:391-399.
- Ford ES, Cunningham TJ, Giles WH, et al. Trends in insomnia and excessive daytime sleepiness among U.S. adults from 2002 to 2012. Sleep Med. 2015;16:372-378.
- Morin CM, LeBlanc M, Daley M, et al. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006;7:123-130.
- Buysse DJ, Ancoli-Israel S, Edinger JD, et al. Recommendations for a standard research assessment of insomnia. Sleep. 2006;29:1155-1173.
- Martin JL, Hakim AD. Wrist actigraphy. Chest. 2011;139:1514-1527.
- Riemann D, Baglioni C, Bassetti C, et al. European guideline for the diagnosis and treatment of insomnia. J Sleep Res. 2017;26:675-700.
- Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297-307.
- Wong ML, Lau KNT, Espie CA, et al. Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder. Sleep Med. 2017;33:76-81.
- Gagnon C, Bélanger L, Ivers H, et al. Validation of the Insomnia Severity Index in primary care. J Am Board Fam Med. 2013;26:701-710.
- Saunders JB, Aasland OG, Babor TF, et al. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption. Addiction. 1993;88:791-804.
- Selin KH. Test-retest reliability of the Alcohol Use Disorder Identification Test in a general population sample. Alcohol Clin Exp Res. 2003;27:1428-1435.
- Bohn MJ, Babor TF, Kranzler HR. The Alcohol Use Disorders Identification Test (AUDIT): validation of a screening instrument for use in medical settings. J Stud Alcohol. 1995;56:423-432.
- Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cut-off score. Addiction. 1995;90:1349-1356.
- Gomez A, Conde A, Santana JM, et al. Diagnostic usefulness of brief versions of Alcohol Use Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005;66:305-308.
- Butler SF, Fernandez K, Benoit C, et al. Validation of the revised Screener and Opioid Assessment for Patients with Pain (SOAPPR). J Pain. 2008;9:360-372.
- Knight JR, Sherritt L, Shrier LA, et al. Validity of the CRAFFT substance abuse screening test among adolescent clinic patients. Arch Pediatr Adolesc Med. 2002;156:607-614.
- DHHS. Post-traumatic stress disorder (PTSD). https://archives.nih.gov/asites/report/09-09-2019/report.nih.gov/nihfactsheets/ViewFactSheetfdf8.html?csid=58&key=P#P. Accessed October 23,2020.
- Blevins CA, Weathers FW, Davis MT, et al. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28:489-498.
- Verhey R, Chilbanda D, Gibson L, et al. Validation of the Posttraumatic Stress Disorder Checklist- 5 (PCL-5) in a primary care population with high HIV prevalence in Zimbabwe. BMC Psychiatry. 2018;18:109.
- Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695-699.
- Stewart S, O’Riley A, Edelstein B, et al. A preliminary comparison of three cognitive screening instruments in long term care: the MMSE, SLUMS, and MoCA. Clin Gerontol. 2012;35:57-75.
- Godefroy O, Fickl A, Roussel M, et al. Is the Montreal Cognitive Assessment superior to the Mini-Mental State Examination to detect poststroke cognitive impairment? A study with neuropsychological evaluation. Stroke. 2011;42:1712-1716.
Many screening tools are available in the public domain to assess a variety of symptoms related to impaired mental health. These tools can be used to quickly evaluate for mood, suicidal ideation or behavior, anxiety, sleep, substance use, pain, trauma, memory, and cognition (TABLE). Individuals with poor mental health incur high health care costs. Those suffering from anxiety and posttraumatic stress have more outpatient and emergency department visits and hospitalizations than patients without these disorders,1,2 although use of mental health care services has been related to a decrease in the overutilization of health care services in general.3
Here we review several screening tools that can help you to identify symptoms of mental illnesses and thus, provide prompt early intervention, including referrals to psychological and psychiatric services.
Mood disorders
Most patients with mood disorders are treated in primary care settings.4 Quickly measuring patients’ mood symptoms can expedite treatment for those who need it. Many primary care clinics use the 9-item Patient Health Questionnaire (PHQ-9) to screen for depression.5 The US Preventive Services Task Force (USPSTF) has recommended screening for depression with adequate systems to ensure accurate diagnoses, effective treatment, and follow-up. Although the USPSTF did not specially endorse screening for bipolar disorder, it followed that recommendation with the qualifying statement, “positive screening results [for depression] should lead to additional assessment that considers severity of depression and comorbid psychological problems, alternate diagnoses, and medical conditions.”6 Thus, following a positive screen result for depression, consider using a screening tool for mood disorders to provide diagnostic clarification.
The Mood Disorder Questionnaire (MDQ) is a validated 15-item, self-administered questionnaire that takes only 5 minutes to use in screening adult patients for bipolar I disorder.7 The MDQ assesses specific behaviors related to bipolar disorder, symptom co-occurrence, and functional impairment. The MDQ has low sensitivity (58%) but good specificity (93%) in a primary care setting.8 However, the MDQ is not a diagnostic instrument. A positive screen result should prompt a more thorough clinical evaluation, if necessary, by a professional trained in psychiatric disorders.
We recommend completing the MDQ prior to prescribing antidepressants. You can also monitor a patient’s response to treatment with serial MDQ testing. The MDQ is useful, too, when a patient has unclear mood symptoms that may have features overlapping with bipolar disorder. Furthermore, we recommend screening for bipolar disorder with every patient who reports symptoms of depression, given that some pharmacologic treatments (predominately selective serotonin reuptake inhibitors) can induce mania in patients who actually have unrecognized bipolar disorder.9
Continue to: Suicide...
Suicide
Suicide is the 10th leading cause of death among the general population. All demographic groups are impacted by suicide; however, the most vulnerable are men ages 45 to 64 years.10 Given the imminent risk to individuals who experience suicidal ideation, properly assessing and targeting suicidal risk is paramount.
The Columbia Suicide Severity Rating Scale (C-SSRS) can be completed in an interview format or as a patient self-report. Versions of the C-SSRS are available for children, adolescents, and adults. It can be used in practice with any patient who may be at risk for suicide. Specifically, consider using the C-SSRS when a patient scores 1 or greater on the PHQ-9 or when risk is revealed with another brief screening tool that includes suicidal ideation.
The C-SSRS covers 10 categories related to suicidal ideation and behavior that the clinician explores with questions requiring only Yes/No responses. The C-SSRS demonstrates moderate-to-strong internal consistency and reliability, and it has shown a high degree of sensitivity (95%) and specificity (95%) for suicidal ideation.11
Anxiety and physiologic arousal
Generalized anxiety disorder (GAD) is one of the most common anxiety disorders, with an estimated prevalence of 2.8% to 8.5% among primary care patients.12 Brief, validated screening tools such as the Generalized Anxiety Disorder–7 item (GAD-7) scale can be effective in identifying anxiety and other related disorders in primary care settings.
The GAD-7 comprises 7 items inquiring about symptoms experienced in the past 2 weeks. Scores range from 0 to 21, with cutoffs of 5, 10, and 15 indicating mild, moderate, and severe anxiety, respectively. This questionnaire is appropriate for use with adults and has strong specificity, internal consistency, and test-retest reliability.12 Specificity and sensitivity of the GAD-7 are maximized at a cutoff score of 10 or greater, both exceeding 80%.12 The GAD-7 can be used when patients report symptoms of anxiety or when one needs to screen for anxiety with new patients or more clearly understand symptoms among patients who have complex mental health concerns.
The Screen for Child Anxiety Related Disorders (SCARED) is a 41-item self-report measure of anxiety for children ages 8 to 18. The SCARED questionnaire yields an overall anxiety score, as well as subscales for panic disorder or significant somatic symptoms, generalized anxiety disorder, separation anxiety, social anxiety disorder, and significant school avoidance.13 There is also a 5-item version of the SCARED, which can be useful for brief screening in fast-paced settings when no anxiety disorder is suspected, or for children who may have anxiety but exhibit reduced verbal capacity. The SCARED has been found to have moderate sensitivity (81.8%) and specificity (52%) for diagnosing anxiety disorders in a community sample, with an optimal cutoff point of 22 on the total scale.14
Sleep
Sleep concerns are common, with the prevalence of insomnia among adults in the United States estimated to be 19.2%.15 The importance of assessing these concerns cannot be overstated, and primary care providers are the ones patients consult most often.16 The gold standard in assessing sleep disorders is a structured clinical interview, polysomnography, sleep diary, and actigraphy (home-based monitoring of movement through a device, often worn on the wrist).17,18 However, this work-up is expensive, time-intensive, and impractical in integrated care settings; thus the need for a brief, self-report screening tool to guide further assessment and intervention.
The Insomnia Severity Index (ISI) assesses patients’ perceptions of their insomnia. The ISI was developed to aid both in the clinical evaluation of patients with insomnia and to measure treatment outcomes. Administration of the ISI takes approximately 5 minutes, and scoring takes less than 1 minute.
The ISI is composed of 7 items that measure the severity of sleep onset and sleep maintenance difficulties, satisfaction with current sleep, impact on daily functioning, impairment observable to others, and degree of distress caused by the sleep problems. Each item is scored on a 0 to 4 Likert-type scale, and the individual items are summed for a total score of 0 to 28, with higher scores suggesting more severe insomnia. Evidence-based guidelines recommend cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment for adults with primary insomnia.19
Several validation studies have found the ISI to be a reliable measure of perceived insomnia severity, and one that is sensitive to changes in patients’ perceptions of treatment outcomes.20,21 An additional validation study confirmed that in primary care settings, a cutoff score of 14 should be used to indicate the likely presence of clinical insomnia22 and to guide further assessment and intervention.
The percentage of insomniac patients correctly identified with the ISI was 82.2%, with moderate sensitivity (82.4%) and specificity (82.1%).22 A positive predictive value of 70% was found, meaning that an insomnia disorder is probable when the ISI total score is 14 or higher; conversely, the negative predictive value was 90.2%.
Continue to: Substance use and pain...
Substance use and pain
The evaluation of alcohol and drug use is an integral part of assessing risky health behaviors. The 10-item Alcohol Use Disorder Identification Test (AUDIT) is a self-report tool developed by the World Health Organization.23,24 Validated in medical settings, scores of 8 or higher suggest problematic drinking.25,26 The AUDIT has demonstrated high specificity (94%) and moderate sensitivity (81%) in primary care settings.27 The AUDIT-C (items 1, 2, and 3 of the AUDIT) has also demonstrated comparable sensitivity, although slightly lower specificity, than the full AUDIT, suggesting that this 3-question screen can also be used in primary care settings.27
Opioid medications, frequently prescribed for chronic pain, present serious risks for many patients. The Screener and Opioid Assessment for Patients with Pain–Revised (SOAPP-R) is a 24-item self-reporting scale that can be completed in approximately 10 minutes.28 A score of 18 or higher has identified 81% of patients at high risk for opioid misuse in a clinical setting, with moderate specificity (68%). Although other factors should be considered when assessing risk of opioid misuse, the SOAPP-R is a helpful and quick addition to an opioid risk assessment.
The CRAFFT Screening Tool for Adolescent Substance Use is administered by the clinician for youths ages 14 to 21. The first 3 questions ask about use of alcohol, marijuana, or other substances during the past 12 months. What follows are questions related to the young person’s specific experiences with substances in relation to Cars, Relaxation, being Alone, Forgetting, Family/Friends, and Trouble (CRAFFT). The CRAFFT has shown moderate sensitivity (76%) and good specificity (94%) for identifying any problem with substance use.29 These measures may be administered to clarify or confirm substance use patterns (ie, duration, frequency), or to determine the severity of problems related to substance use (ie, social or legal problems).
Trauma and PTSD
Approximately 7.7 million adults per year will experience posttraumatic stress disorder (PTSD) symptoms, although PTSD can affect individuals of any age.30 Given the impact that trauma can have, assess for PTSD in patients who have a history of trauma or who otherwise seem to be at risk. The Post-traumatic Stress Disorder Checklist (PCL-5) is a 20-item self-report questionnaire that screens for symptoms directly from the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) criteria for PTSD. One limitation is that the questionnaire is only validated for adults ages 18 years or older. Completion of the PCL-5 takes 5 to 10 minutes. The PCL-5 has strong internal consistency reliability (94%) and test-retest reliability (82%).31 With a cutoff score of 33 or higher, the sensitivity and specificity have been shown to be moderately high (74.5% and 70.6%, respectively).32
The Child and Adolescent Trauma Screen (CATS) is used to assess for potentially traumatic events and PTSD symptoms in children and adolescents. These symptoms are based on the DSM-5, and therefore the CATS can act as a useful diagnostic aid. The CATS is also available in Spanish, with both caregiver-report (for children ages 3-6 years or 7-17 years) and self-report (for ages 7-17 years) versions. Practical use of the PCL-5 and the CATS involves screening for PTSD symptoms, supporting a provisional diagnosis of PTSD, and monitoring PTSD symptom changes during and after treatment.
Memory and cognition
Cognitive screening is a first step in evaluating possible dementia and other neuropsychological disorders. The importance of brief cognitive screening in primary care cannot be understated, especially for an aging patient population. Although the Mini Mental Status Exam (MMSE) has been widely used among health care providers and researchers, we recommend the Montreal Cognitive Assessment (MoCA).
The MoCA is a simple, standalone cognitive screening tool validated for adults ages 55 to 85 years.33 The MoCA addresses many important cognitive domains, fits on one page, and can be administered by a trained provider in 10 minutes. Research also suggests that it has strong test-retest reliability and positive and negative predictive values for mild cognitive impairment and Alzheimer dementia, and it has been found to be more sensitive than the MMSE.34 We additionally recommend the MoCA as it measures several cognitive skills that are not addressed on the MMSE, including verbal fluency and abstraction.34 Scores below 25 are suggestive of cognitive impairment and should lead to a referral for neuropsychological testing.
The MoCA’s sensitivity for detecting cognitive impairment is high (94%), and specificity is low (42%).35 To ensure consistency and accuracy in administering the MoCA, certification is now required via an online training program through www.mocatest.org.
Adapting these screening tools to practice
These tools are not meant to be used at every appointment. Every practice is different, and each clinic or physician can tailor the use of these screening tools to the needs of the patient population, as concerns arise, or in collaboration with other providers. Additionally, these screening tools can be used in both integrated care and in private practice, to prompt a more thorough assessment or to aid in—and inform—treatment. Although some physicians choose to administer certain screening tools at each clinic visit, knowing about the availability of other tools can be useful in assessing various issues. The FIGURE can be used to aid in the clinical decision-making process.
Many screening tools are available in the public domain to assess a variety of symptoms related to impaired mental health. These tools can be used to quickly evaluate for mood, suicidal ideation or behavior, anxiety, sleep, substance use, pain, trauma, memory, and cognition (TABLE). Individuals with poor mental health incur high health care costs. Those suffering from anxiety and posttraumatic stress have more outpatient and emergency department visits and hospitalizations than patients without these disorders,1,2 although use of mental health care services has been related to a decrease in the overutilization of health care services in general.3
Here we review several screening tools that can help you to identify symptoms of mental illnesses and thus, provide prompt early intervention, including referrals to psychological and psychiatric services.
Mood disorders
Most patients with mood disorders are treated in primary care settings.4 Quickly measuring patients’ mood symptoms can expedite treatment for those who need it. Many primary care clinics use the 9-item Patient Health Questionnaire (PHQ-9) to screen for depression.5 The US Preventive Services Task Force (USPSTF) has recommended screening for depression with adequate systems to ensure accurate diagnoses, effective treatment, and follow-up. Although the USPSTF did not specially endorse screening for bipolar disorder, it followed that recommendation with the qualifying statement, “positive screening results [for depression] should lead to additional assessment that considers severity of depression and comorbid psychological problems, alternate diagnoses, and medical conditions.”6 Thus, following a positive screen result for depression, consider using a screening tool for mood disorders to provide diagnostic clarification.
The Mood Disorder Questionnaire (MDQ) is a validated 15-item, self-administered questionnaire that takes only 5 minutes to use in screening adult patients for bipolar I disorder.7 The MDQ assesses specific behaviors related to bipolar disorder, symptom co-occurrence, and functional impairment. The MDQ has low sensitivity (58%) but good specificity (93%) in a primary care setting.8 However, the MDQ is not a diagnostic instrument. A positive screen result should prompt a more thorough clinical evaluation, if necessary, by a professional trained in psychiatric disorders.
We recommend completing the MDQ prior to prescribing antidepressants. You can also monitor a patient’s response to treatment with serial MDQ testing. The MDQ is useful, too, when a patient has unclear mood symptoms that may have features overlapping with bipolar disorder. Furthermore, we recommend screening for bipolar disorder with every patient who reports symptoms of depression, given that some pharmacologic treatments (predominately selective serotonin reuptake inhibitors) can induce mania in patients who actually have unrecognized bipolar disorder.9
Continue to: Suicide...
Suicide
Suicide is the 10th leading cause of death among the general population. All demographic groups are impacted by suicide; however, the most vulnerable are men ages 45 to 64 years.10 Given the imminent risk to individuals who experience suicidal ideation, properly assessing and targeting suicidal risk is paramount.
The Columbia Suicide Severity Rating Scale (C-SSRS) can be completed in an interview format or as a patient self-report. Versions of the C-SSRS are available for children, adolescents, and adults. It can be used in practice with any patient who may be at risk for suicide. Specifically, consider using the C-SSRS when a patient scores 1 or greater on the PHQ-9 or when risk is revealed with another brief screening tool that includes suicidal ideation.
The C-SSRS covers 10 categories related to suicidal ideation and behavior that the clinician explores with questions requiring only Yes/No responses. The C-SSRS demonstrates moderate-to-strong internal consistency and reliability, and it has shown a high degree of sensitivity (95%) and specificity (95%) for suicidal ideation.11
Anxiety and physiologic arousal
Generalized anxiety disorder (GAD) is one of the most common anxiety disorders, with an estimated prevalence of 2.8% to 8.5% among primary care patients.12 Brief, validated screening tools such as the Generalized Anxiety Disorder–7 item (GAD-7) scale can be effective in identifying anxiety and other related disorders in primary care settings.
The GAD-7 comprises 7 items inquiring about symptoms experienced in the past 2 weeks. Scores range from 0 to 21, with cutoffs of 5, 10, and 15 indicating mild, moderate, and severe anxiety, respectively. This questionnaire is appropriate for use with adults and has strong specificity, internal consistency, and test-retest reliability.12 Specificity and sensitivity of the GAD-7 are maximized at a cutoff score of 10 or greater, both exceeding 80%.12 The GAD-7 can be used when patients report symptoms of anxiety or when one needs to screen for anxiety with new patients or more clearly understand symptoms among patients who have complex mental health concerns.
The Screen for Child Anxiety Related Disorders (SCARED) is a 41-item self-report measure of anxiety for children ages 8 to 18. The SCARED questionnaire yields an overall anxiety score, as well as subscales for panic disorder or significant somatic symptoms, generalized anxiety disorder, separation anxiety, social anxiety disorder, and significant school avoidance.13 There is also a 5-item version of the SCARED, which can be useful for brief screening in fast-paced settings when no anxiety disorder is suspected, or for children who may have anxiety but exhibit reduced verbal capacity. The SCARED has been found to have moderate sensitivity (81.8%) and specificity (52%) for diagnosing anxiety disorders in a community sample, with an optimal cutoff point of 22 on the total scale.14
Sleep
Sleep concerns are common, with the prevalence of insomnia among adults in the United States estimated to be 19.2%.15 The importance of assessing these concerns cannot be overstated, and primary care providers are the ones patients consult most often.16 The gold standard in assessing sleep disorders is a structured clinical interview, polysomnography, sleep diary, and actigraphy (home-based monitoring of movement through a device, often worn on the wrist).17,18 However, this work-up is expensive, time-intensive, and impractical in integrated care settings; thus the need for a brief, self-report screening tool to guide further assessment and intervention.
The Insomnia Severity Index (ISI) assesses patients’ perceptions of their insomnia. The ISI was developed to aid both in the clinical evaluation of patients with insomnia and to measure treatment outcomes. Administration of the ISI takes approximately 5 minutes, and scoring takes less than 1 minute.
The ISI is composed of 7 items that measure the severity of sleep onset and sleep maintenance difficulties, satisfaction with current sleep, impact on daily functioning, impairment observable to others, and degree of distress caused by the sleep problems. Each item is scored on a 0 to 4 Likert-type scale, and the individual items are summed for a total score of 0 to 28, with higher scores suggesting more severe insomnia. Evidence-based guidelines recommend cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment for adults with primary insomnia.19
Several validation studies have found the ISI to be a reliable measure of perceived insomnia severity, and one that is sensitive to changes in patients’ perceptions of treatment outcomes.20,21 An additional validation study confirmed that in primary care settings, a cutoff score of 14 should be used to indicate the likely presence of clinical insomnia22 and to guide further assessment and intervention.
The percentage of insomniac patients correctly identified with the ISI was 82.2%, with moderate sensitivity (82.4%) and specificity (82.1%).22 A positive predictive value of 70% was found, meaning that an insomnia disorder is probable when the ISI total score is 14 or higher; conversely, the negative predictive value was 90.2%.
Continue to: Substance use and pain...
Substance use and pain
The evaluation of alcohol and drug use is an integral part of assessing risky health behaviors. The 10-item Alcohol Use Disorder Identification Test (AUDIT) is a self-report tool developed by the World Health Organization.23,24 Validated in medical settings, scores of 8 or higher suggest problematic drinking.25,26 The AUDIT has demonstrated high specificity (94%) and moderate sensitivity (81%) in primary care settings.27 The AUDIT-C (items 1, 2, and 3 of the AUDIT) has also demonstrated comparable sensitivity, although slightly lower specificity, than the full AUDIT, suggesting that this 3-question screen can also be used in primary care settings.27
Opioid medications, frequently prescribed for chronic pain, present serious risks for many patients. The Screener and Opioid Assessment for Patients with Pain–Revised (SOAPP-R) is a 24-item self-reporting scale that can be completed in approximately 10 minutes.28 A score of 18 or higher has identified 81% of patients at high risk for opioid misuse in a clinical setting, with moderate specificity (68%). Although other factors should be considered when assessing risk of opioid misuse, the SOAPP-R is a helpful and quick addition to an opioid risk assessment.
The CRAFFT Screening Tool for Adolescent Substance Use is administered by the clinician for youths ages 14 to 21. The first 3 questions ask about use of alcohol, marijuana, or other substances during the past 12 months. What follows are questions related to the young person’s specific experiences with substances in relation to Cars, Relaxation, being Alone, Forgetting, Family/Friends, and Trouble (CRAFFT). The CRAFFT has shown moderate sensitivity (76%) and good specificity (94%) for identifying any problem with substance use.29 These measures may be administered to clarify or confirm substance use patterns (ie, duration, frequency), or to determine the severity of problems related to substance use (ie, social or legal problems).
Trauma and PTSD
Approximately 7.7 million adults per year will experience posttraumatic stress disorder (PTSD) symptoms, although PTSD can affect individuals of any age.30 Given the impact that trauma can have, assess for PTSD in patients who have a history of trauma or who otherwise seem to be at risk. The Post-traumatic Stress Disorder Checklist (PCL-5) is a 20-item self-report questionnaire that screens for symptoms directly from the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) criteria for PTSD. One limitation is that the questionnaire is only validated for adults ages 18 years or older. Completion of the PCL-5 takes 5 to 10 minutes. The PCL-5 has strong internal consistency reliability (94%) and test-retest reliability (82%).31 With a cutoff score of 33 or higher, the sensitivity and specificity have been shown to be moderately high (74.5% and 70.6%, respectively).32
The Child and Adolescent Trauma Screen (CATS) is used to assess for potentially traumatic events and PTSD symptoms in children and adolescents. These symptoms are based on the DSM-5, and therefore the CATS can act as a useful diagnostic aid. The CATS is also available in Spanish, with both caregiver-report (for children ages 3-6 years or 7-17 years) and self-report (for ages 7-17 years) versions. Practical use of the PCL-5 and the CATS involves screening for PTSD symptoms, supporting a provisional diagnosis of PTSD, and monitoring PTSD symptom changes during and after treatment.
Memory and cognition
Cognitive screening is a first step in evaluating possible dementia and other neuropsychological disorders. The importance of brief cognitive screening in primary care cannot be understated, especially for an aging patient population. Although the Mini Mental Status Exam (MMSE) has been widely used among health care providers and researchers, we recommend the Montreal Cognitive Assessment (MoCA).
The MoCA is a simple, standalone cognitive screening tool validated for adults ages 55 to 85 years.33 The MoCA addresses many important cognitive domains, fits on one page, and can be administered by a trained provider in 10 minutes. Research also suggests that it has strong test-retest reliability and positive and negative predictive values for mild cognitive impairment and Alzheimer dementia, and it has been found to be more sensitive than the MMSE.34 We additionally recommend the MoCA as it measures several cognitive skills that are not addressed on the MMSE, including verbal fluency and abstraction.34 Scores below 25 are suggestive of cognitive impairment and should lead to a referral for neuropsychological testing.
The MoCA’s sensitivity for detecting cognitive impairment is high (94%), and specificity is low (42%).35 To ensure consistency and accuracy in administering the MoCA, certification is now required via an online training program through www.mocatest.org.
Adapting these screening tools to practice
These tools are not meant to be used at every appointment. Every practice is different, and each clinic or physician can tailor the use of these screening tools to the needs of the patient population, as concerns arise, or in collaboration with other providers. Additionally, these screening tools can be used in both integrated care and in private practice, to prompt a more thorough assessment or to aid in—and inform—treatment. Although some physicians choose to administer certain screening tools at each clinic visit, knowing about the availability of other tools can be useful in assessing various issues. The FIGURE can be used to aid in the clinical decision-making process.
- Robinson RL, Grabner M, Palli SR, et al. Covariates of depression and high utilizers of healthcare: impact on resource use and costs. J Psychosom Res. 2016,85:35-43.
- Fogarty CT, Sharma S, Chetty VK, et al. Mental health conditions are associated with increased health care utilization among urban family medicine patients. J Am Board Fam Med. 2008,21:398-407.
- Weissman JD, Russell D, Beasley J, et al. Relationships between adult emotional states and indicators of health care utilization: findings from the National Health Interview Survey 2006–2014. J Psychosom Res. 2016,91:75-81.
- Haddad M, Walters P. Mood disorders in primary care. Psychiatry. 2009,8:71-75.
- Mitchell AJ, Yadegarfar M, Gill J, et al. Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic metaanalysis of 40 studies. BJPsych Open. 2016,2:127-138.
- Siu AL and US Preventive Services Task Force. Screening for depression in adults. JAMA. 2016;315:380-387.
- Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157:1873-1875.
- Hirschfeld RM, Cass AR, Holt DC, et al. Screening for bipolar disorder in patients treated for depression in a family medicine clinic. J Am Board Fam Med. 2005;18:233-239.
- Das AK, Olfson M, Gameroff MJ, et al. Screening for bipolar disorder in a primary care practice. JAMA. 2005;293:956-963.
- CDC. Suicide mortality in the United States, 1999-2017. www.cdc.gov/nchs/products/databriefs/db330.htm. Accessed October 23, 2020.
- Viguera AC, Milano N, Ralston L, et al. Comparison of electronic screening for suicidal risk with Patient Health Questionnaire Item 9 and the Columbia Suicide Severity Rating Scale in an outpatient psychiatric clinic. Psychosomatics. 2015;56:460-469.
- Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092-1097.
- Birmaher B, Khetarpal S, Brent D, et al. The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. J Am Acad Chil Adolesc Psychiatry. 1997;36:545-553.
- DeSousa DA, Salum GA, Isolan LR, et al. Sensitivity and specificity of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a community-based study. Child Psychiatry Hum Dev. 2013;44:391-399.
- Ford ES, Cunningham TJ, Giles WH, et al. Trends in insomnia and excessive daytime sleepiness among U.S. adults from 2002 to 2012. Sleep Med. 2015;16:372-378.
- Morin CM, LeBlanc M, Daley M, et al. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006;7:123-130.
- Buysse DJ, Ancoli-Israel S, Edinger JD, et al. Recommendations for a standard research assessment of insomnia. Sleep. 2006;29:1155-1173.
- Martin JL, Hakim AD. Wrist actigraphy. Chest. 2011;139:1514-1527.
- Riemann D, Baglioni C, Bassetti C, et al. European guideline for the diagnosis and treatment of insomnia. J Sleep Res. 2017;26:675-700.
- Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297-307.
- Wong ML, Lau KNT, Espie CA, et al. Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder. Sleep Med. 2017;33:76-81.
- Gagnon C, Bélanger L, Ivers H, et al. Validation of the Insomnia Severity Index in primary care. J Am Board Fam Med. 2013;26:701-710.
- Saunders JB, Aasland OG, Babor TF, et al. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption. Addiction. 1993;88:791-804.
- Selin KH. Test-retest reliability of the Alcohol Use Disorder Identification Test in a general population sample. Alcohol Clin Exp Res. 2003;27:1428-1435.
- Bohn MJ, Babor TF, Kranzler HR. The Alcohol Use Disorders Identification Test (AUDIT): validation of a screening instrument for use in medical settings. J Stud Alcohol. 1995;56:423-432.
- Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cut-off score. Addiction. 1995;90:1349-1356.
- Gomez A, Conde A, Santana JM, et al. Diagnostic usefulness of brief versions of Alcohol Use Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005;66:305-308.
- Butler SF, Fernandez K, Benoit C, et al. Validation of the revised Screener and Opioid Assessment for Patients with Pain (SOAPPR). J Pain. 2008;9:360-372.
- Knight JR, Sherritt L, Shrier LA, et al. Validity of the CRAFFT substance abuse screening test among adolescent clinic patients. Arch Pediatr Adolesc Med. 2002;156:607-614.
- DHHS. Post-traumatic stress disorder (PTSD). https://archives.nih.gov/asites/report/09-09-2019/report.nih.gov/nihfactsheets/ViewFactSheetfdf8.html?csid=58&key=P#P. Accessed October 23,2020.
- Blevins CA, Weathers FW, Davis MT, et al. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28:489-498.
- Verhey R, Chilbanda D, Gibson L, et al. Validation of the Posttraumatic Stress Disorder Checklist- 5 (PCL-5) in a primary care population with high HIV prevalence in Zimbabwe. BMC Psychiatry. 2018;18:109.
- Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695-699.
- Stewart S, O’Riley A, Edelstein B, et al. A preliminary comparison of three cognitive screening instruments in long term care: the MMSE, SLUMS, and MoCA. Clin Gerontol. 2012;35:57-75.
- Godefroy O, Fickl A, Roussel M, et al. Is the Montreal Cognitive Assessment superior to the Mini-Mental State Examination to detect poststroke cognitive impairment? A study with neuropsychological evaluation. Stroke. 2011;42:1712-1716.
- Robinson RL, Grabner M, Palli SR, et al. Covariates of depression and high utilizers of healthcare: impact on resource use and costs. J Psychosom Res. 2016,85:35-43.
- Fogarty CT, Sharma S, Chetty VK, et al. Mental health conditions are associated with increased health care utilization among urban family medicine patients. J Am Board Fam Med. 2008,21:398-407.
- Weissman JD, Russell D, Beasley J, et al. Relationships between adult emotional states and indicators of health care utilization: findings from the National Health Interview Survey 2006–2014. J Psychosom Res. 2016,91:75-81.
- Haddad M, Walters P. Mood disorders in primary care. Psychiatry. 2009,8:71-75.
- Mitchell AJ, Yadegarfar M, Gill J, et al. Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic metaanalysis of 40 studies. BJPsych Open. 2016,2:127-138.
- Siu AL and US Preventive Services Task Force. Screening for depression in adults. JAMA. 2016;315:380-387.
- Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157:1873-1875.
- Hirschfeld RM, Cass AR, Holt DC, et al. Screening for bipolar disorder in patients treated for depression in a family medicine clinic. J Am Board Fam Med. 2005;18:233-239.
- Das AK, Olfson M, Gameroff MJ, et al. Screening for bipolar disorder in a primary care practice. JAMA. 2005;293:956-963.
- CDC. Suicide mortality in the United States, 1999-2017. www.cdc.gov/nchs/products/databriefs/db330.htm. Accessed October 23, 2020.
- Viguera AC, Milano N, Ralston L, et al. Comparison of electronic screening for suicidal risk with Patient Health Questionnaire Item 9 and the Columbia Suicide Severity Rating Scale in an outpatient psychiatric clinic. Psychosomatics. 2015;56:460-469.
- Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092-1097.
- Birmaher B, Khetarpal S, Brent D, et al. The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. J Am Acad Chil Adolesc Psychiatry. 1997;36:545-553.
- DeSousa DA, Salum GA, Isolan LR, et al. Sensitivity and specificity of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a community-based study. Child Psychiatry Hum Dev. 2013;44:391-399.
- Ford ES, Cunningham TJ, Giles WH, et al. Trends in insomnia and excessive daytime sleepiness among U.S. adults from 2002 to 2012. Sleep Med. 2015;16:372-378.
- Morin CM, LeBlanc M, Daley M, et al. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006;7:123-130.
- Buysse DJ, Ancoli-Israel S, Edinger JD, et al. Recommendations for a standard research assessment of insomnia. Sleep. 2006;29:1155-1173.
- Martin JL, Hakim AD. Wrist actigraphy. Chest. 2011;139:1514-1527.
- Riemann D, Baglioni C, Bassetti C, et al. European guideline for the diagnosis and treatment of insomnia. J Sleep Res. 2017;26:675-700.
- Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297-307.
- Wong ML, Lau KNT, Espie CA, et al. Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder. Sleep Med. 2017;33:76-81.
- Gagnon C, Bélanger L, Ivers H, et al. Validation of the Insomnia Severity Index in primary care. J Am Board Fam Med. 2013;26:701-710.
- Saunders JB, Aasland OG, Babor TF, et al. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption. Addiction. 1993;88:791-804.
- Selin KH. Test-retest reliability of the Alcohol Use Disorder Identification Test in a general population sample. Alcohol Clin Exp Res. 2003;27:1428-1435.
- Bohn MJ, Babor TF, Kranzler HR. The Alcohol Use Disorders Identification Test (AUDIT): validation of a screening instrument for use in medical settings. J Stud Alcohol. 1995;56:423-432.
- Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cut-off score. Addiction. 1995;90:1349-1356.
- Gomez A, Conde A, Santana JM, et al. Diagnostic usefulness of brief versions of Alcohol Use Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005;66:305-308.
- Butler SF, Fernandez K, Benoit C, et al. Validation of the revised Screener and Opioid Assessment for Patients with Pain (SOAPPR). J Pain. 2008;9:360-372.
- Knight JR, Sherritt L, Shrier LA, et al. Validity of the CRAFFT substance abuse screening test among adolescent clinic patients. Arch Pediatr Adolesc Med. 2002;156:607-614.
- DHHS. Post-traumatic stress disorder (PTSD). https://archives.nih.gov/asites/report/09-09-2019/report.nih.gov/nihfactsheets/ViewFactSheetfdf8.html?csid=58&key=P#P. Accessed October 23,2020.
- Blevins CA, Weathers FW, Davis MT, et al. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28:489-498.
- Verhey R, Chilbanda D, Gibson L, et al. Validation of the Posttraumatic Stress Disorder Checklist- 5 (PCL-5) in a primary care population with high HIV prevalence in Zimbabwe. BMC Psychiatry. 2018;18:109.
- Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695-699.
- Stewart S, O’Riley A, Edelstein B, et al. A preliminary comparison of three cognitive screening instruments in long term care: the MMSE, SLUMS, and MoCA. Clin Gerontol. 2012;35:57-75.
- Godefroy O, Fickl A, Roussel M, et al. Is the Montreal Cognitive Assessment superior to the Mini-Mental State Examination to detect poststroke cognitive impairment? A study with neuropsychological evaluation. Stroke. 2011;42:1712-1716.