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      Posttraumatic Stress Disorder and Type 2 Diabetes Outcomes in Veterans

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          Key Points

          Question

          What is the association between meeting diagnostic criteria for posttraumatic stress disorder (PTSD) and risk of poor type 2 diabetes (T2D) outcomes?

          Findings

          In this cohort study of 10 002 veterans, no longer meeting diagnostic criteria for PTSD was associated with a lower risk of microvascular complications. Among veterans aged 18 to 49 years, but not among those aged 50 to 80 years, no longer meeting PTSD criteria was associated with a lower likelihood of starting insulin and a lower risk of all-cause mortality.

          Meaning

          The findings of this study suggest that PTSD is a modifiable risk factor for some adverse T2D outcomes among patients with comorbid PTSD and T2D.

          Abstract

          This cohort study examines the association between meeting diagnostic criteria for posttraumatic stress disorder and risk of poor type 2 diabetes outcomes among a cohort of veterans.

          Abstract

          Importance

          Posttraumatic stress disorder (PTSD) symptom reduction is linked with lower risk of incident type 2 diabetes (T2D), but little is known about the association between PTSD and comorbid T2D outcomes. Whether PTSD is a modifiable risk factor for adverse T2D outcomes is unknown.

          Objective

          To determine whether patients with PTSD who improved and no longer met diagnostic criteria for PTSD had a lower risk of adverse T2D outcomes compared with patients with persistent PTSD.

          Design, Setting, and Participants

          This retrospective cohort study used deidentified data from US Veterans Health Administration (VHA) historical medical records (from October 1, 2011, to September 30, 2022) to create a cohort of patients aged 18 to 80 years with comorbid PTSD and T2D. Data analysis was performed from March 1 to June 1, 2024.

          Exposures

          Diagnoses of PTSD and T2D.

          Main Outcomes and Measures

          The main outcomes were insulin initiation, poor glycemic control, any microvascular complication, and all-cause mortality. Improvement of PTSD was defined as no longer meeting PTSD diagnostic criteria, per a PTSD Checklist score of less than 33. Entropy balancing controlled for confounding. Survival and competing risk models estimated the association between meeting PTSD criteria and T2D outcomes. Subgroup analyses examined variation by age, sex, race, PTSD severity, and comorbid depression status.

          Results

          The study cohort included 10 002 veterans. More than half of patients (65.3%) were aged older than 50 years and most (87.2%) were men. Patients identified as Black (31.6%), White (62.7%), or other race (5.7%). Before controlling for confounding with entropy balancing, patients who no longer met PTSD diagnostic criteria had similar incidence rates for starting insulin (22.4 vs 24.4 per 1000 person-years), poor glycemic control (137.1 vs 133.7 per 1000 person-years), any microvascular complication (108.4 vs 104.8 per 1000 person-years), and all-cause mortality (11.2 vs 11.0 per 1000 person-years) compared with patients with persistent PTSD. After controlling for confounding, no longer meeting PTSD criteria was associated with a lower risk of microvascular complications (hazard ratio [HR], 0.92 [95% CI, 0.85-0.99]). Among veterans aged 18 to 49 years, no longer meeting PTSD criteria was associated with a lower risk of insulin initiation (HR, 0.69 [95% CI, 0.53-0.88]) and all-cause mortality (HR, 0.39 [95% CI, 0.19-0.83]). Among patients without depression, no longer meeting PTSD criteria was associated with a lower risk of insulin initiation (HR, 0.73 [95% CI, 0.55-0.97]).

          Conclusions and Relevance

          The findings of this cohort study of patients with comorbid PTSD and T2D suggest that PTSD is a modifiable risk factor associated with a modest reduction in microvascular complications. Further research is needed to determine whether findings are similar in non-VHA health care settings.

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          Most cited references49

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          A Proportional Hazards Model for the Subdistribution of a Competing Risk

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            Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

            The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment is independent of measured baseline covariates. Inverse probability of treatment weighting (IPTW) using the propensity score allows one to obtain unbiased estimates of average treatment effects. However, these estimates are only valid if there are no residual systematic differences in observed baseline characteristics between treated and control subjects in the sample weighted by the estimated inverse probability of treatment. We report on a systematic literature review, in which we found that the use of IPTW has increased rapidly in recent years, but that in the most recent year, a majority of studies did not formally examine whether weighting balanced measured covariates between treatment groups. We then proceed to describe a suite of quantitative and qualitative methods that allow one to assess whether measured baseline covariates are balanced between treatment groups in the weighted sample. The quantitative methods use the weighted standardized difference to compare means, prevalences, higher‐order moments, and interactions. The qualitative methods employ graphical methods to compare the distribution of continuous baseline covariates between treated and control subjects in the weighted sample. Finally, we illustrate the application of these methods in an empirical case study. We propose a formal set of balance diagnostics that contribute towards an evolving concept of ‘best practice’ when using IPTW to estimate causal treatment effects using observational data. © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.
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              Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans.

              This study examined the psychometric properties of the posttraumatic stress disorder (PTSD) Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5; Weathers, Litz, et al., 2013b) in 2 independent samples of veterans receiving care at a Veterans Affairs Medical Center (N = 468). A subsample of these participants (n = 140) was used to define a valid diagnostic cutoff score for the instrument using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5; Weathers, Blake, et al., 2013) as the reference standard. The PCL-5 test scores demonstrated good internal consistency (α = .96), test-retest reliability (r = .84), and convergent and discriminant validity. Consistent with previous studies (Armour et al., 2015; Liu et al., 2014), confirmatory factor analysis revealed that the data were best explained by a 6-factor anhedonia model and a 7-factor hybrid model. Signal detection analyses using the CAPS-5 revealed that PCL-5 scores of 31 to 33 were optimally efficient for diagnosing PTSD (κ(.5) = .58). Overall, the findings suggest that the PCL-5 is a psychometrically sound instrument that can be used effectively with veterans. Further, by determining a valid cutoff score using the CAPS-5, the PCL-5 can now be used to identify veterans with probable PTSD. However, findings also suggest the need for research to evaluate cluster structure of DSM-5. (PsycINFO Database Record
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                13 August 2024
                August 2024
                13 August 2024
                : 7
                : 8
                : e2427569
                Affiliations
                [1 ]Department of Family and Community Medicine, Saint Louis University School of Medicine, St Louis, Missouri
                [2 ]Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, St Louis, Missouri
                [3 ]Advanced Health Data Research Institute, Saint Louis University School of Medicine, St Louis, Missouri
                [4 ]Harry S. Truman Memorial Veterans’ Hospital, Columbia, Missouri
                [5 ]Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
                [6 ]National Center for PTSD, White River Junction, Vermont
                [7 ]Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
                [8 ]Department of Medicine, University of California San Francisco School of Medicine, San Francisco
                [9 ]San Francisco Veterans Affairs Medical Center, San Francisco, California
                [10 ]Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
                [11 ]Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
                Author notes
                Article Information
                Accepted for Publication: June 17, 2024.
                Published: August 13, 2024. doi:10.1001/jamanetworkopen.2024.27569
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Scherrer JF et al. JAMA Network Open.
                Corresponding Author: Jeffrey F. Scherrer, PhD, Department of Family and Community Medicine, Saint Louis University School of Medicine, 1008 S Spring, SLUCare Academic Pavilion, 3rd Floor, St Louis, MO 63110 ( jeffrey.scherrer@ 123456health.slu.edu ).
                Author Contributions: Dr Scherrer and Ms Salas had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Scherrer, Salas, Freedland, Lustman, Schnurr, Friedman.
                Acquisition, analysis, or interpretation of data: Scherrer, Salas, Wang, Freedland, Lustman, Schnurr, Cohen, Jaffe.
                Drafting of the manuscript: Scherrer, Salas, Freedland.
                Critical review of the manuscript for important intellectual content: Scherrer, Salas, Wang, Freedland, Lustman, Schnurr, Cohen, Jaffe, Friedman.
                Statistical analysis: Salas.
                Obtained funding: Scherrer, Salas.
                Administrative, technical, or material support: Scherrer, Salas, Wang, Friedman.
                Supervision: Scherrer.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This study was supported by grant R01HL160553 from the National Heart, Lung, and Blood Institute. Support for US Department of Veterans Affairs/Centers for Medicare and Medicaid Services data provided by the Department of Veterans Affairs, VA Health Services Research and Development Service, VA Information Resource Center (project numbers SDR 02-237 and 98-004). This material is the result of work supported with resources and the use of facilities at the Harry S. Truman Memorial Veterans’ Hospital.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 2.
                Article
                zoi240851
                10.1001/jamanetworkopen.2024.27569
                11322846
                39136942
                8c64a394-7827-48f0-8af6-037e3758768d
                Copyright 2024 Scherrer JF et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 8 April 2024
                : 17 June 2024
                Categories
                Research
                Original Investigation
                Online Only
                Psychiatry

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