Importance: Posttraumatic stress disorder (PTSD) is associated with greater risk of ischemic heart disease (IHD) in predominantly male populations or limited community samples. Women veterans represent a growing, yet understudied, population with high levels of trauma exposure and unique cardiovascular risks, but research on PTSD and IHD in this group is lacking.
Objective: To determine whether PTSD is associated with incident IHD in women veterans.
Design, Setting, And Participants: In this retrospective, longitudinal cohort study of the national Veterans Health Administration (VHA) electronic medical records, the a priori hypothesis that PTSD would be associated with greater risk of IHD onset was tested. Women veterans 18 years or older with and without PTSD who were patients in the VHA from January 1, 2000, to December 31, 2017, were assessed for study eligibility. Exclusion criteria consisted of no VHA clinical encounters after the index visit, IHD diagnosis at or before the index visit, and IHD diagnosis within 90 days of the index visit. Propensity score matching on age at index visit, number of prior visits, and presence of traditional and female-specific cardiovascular risk factors and mental and physical health conditions was conducted to identify women veterans ever diagnosed with PTSD, who were matched in a 1:2 ratio to those never diagnosed with PTSD. Data were analyzed from October 1, 2018, to October 30, 2020.
Exposures: PTSD, defined by International Classification of Diseases, Ninth Revision (ICD-9), or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), diagnosis codes from inpatient or outpatient encounters.
Main Outcomes And Measures: Incident IHD, defined as new-onset coronary artery disease, angina, or myocardial infarction, based on ICD-9 and ICD-10 diagnosis codes from inpatient or outpatient encounters, and/or coronary interventions based on Current Procedural Terminology codes.
Results: A total of 398 769 women veterans, 132 923 with PTSD and 265 846 never diagnosed with PTSD, were included in the analysis. Baseline mean (SD) age was 40.1 (12.2) years. During median follow-up of 4.9 (interquartile range, 2.1-9.2) years, 4381 women with PTSD (3.3%) and 5559 control individuals (2.1%) developed incident IHD. In a Cox proportional hazards model, PTSD was significantly associated with greater risk of developing IHD (hazard ratio [HR], 1.44; 95% CI, 1.38-1.50). Secondary stratified analyses indicated that younger age identified women veterans with PTSD who were at greater risk of incident IHD. Effect sizes were largest for those younger than 40 years at baseline (HR, 1.72; 95% CI, 1.55-1.93) and decreased monotonically with increasing age (HR for ≥60 years, 1.24; 95% CI, 1.12-1.38).
Conclusions And Relevance: This cohort study found that PTSD was associated with increased risk of IHD in women veterans and may have implications for IHD risk assessment in vulnerable individuals.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970390 | PMC |
http://dx.doi.org/10.1001/jamacardio.2021.0227 | DOI Listing |
Ann Neurol
January 2025
Department of Neurology, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Objective: This study assesses whether longitudinal quantitative pupillometry predicts neurological deterioration after large middle cerebral artery (MCA) stroke and determines how early changes are detectable.
Methods: This prospective, single-center observational cohort study included patients with large MCA stroke admitted to Boston Medical Center's intensive care unit (2019-2024). Associations between time-to-neurologic deterioration and quantitative pupillometry, including Neurological Pupil Index (NPi), were assessed using Cox proportional hazards models with time-dependent covariates adjusted for age, sex, and Alberta Stroke Program Early CT Score.
JSES Int
November 2024
Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Background: The purpose of this study is to report outcomes of an arthroscopic knotless double-row (DR) rotator cuff repair (RCR) technique at 2- and 5- years postoperatively, and to compare clinical outcomes in patients undergoing knotless DR RCR with incorporated lateral row biceps tenodesis (LRT) vs. those without LRT.
Methods: All primary RCR surgeries were performed by a single surgeon at a single institution using a knotless transosseous equivalent (TOE) technique.
Introduction: Understanding how a research sample compares to the population from which it is drawn can help inform future recruitment planning. We compared the Wisconsin Alzheimer's Disease Research Center (WADRC) participant sample to the Wisconsin state population (WI-pop) on key demographic, social exposome, and vascular risk measures.
Methods: The WADRC sample included 930 participants.
J Am Soc Nephrol
January 2025
Department of Pediatrics, Division of Nephrology, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Background: We have previously studied biomarkers of tubular health (EGF), injury (KIM-1), dysfunction (alpha-1 microglobulin), and inflammation (TNFR-1, TNFR-2, MCP-1, YKL-40, suPAR), and demonstrated that plasma KIM-1, TNFR-1, TNFR-2 and urine KIM-1, EGF, MCP-1, urine alpha-1 microglobulin are each independently associated with CKD progression in children. In this study, we used bootstrapped survival trees to identify a combination of biomarkers to predict CKD progression in children.
Methods: The CKiD Cohort Study prospectively enrolled children 6 months to 16 years old with an eGFR of 30-90 ml/min/1.
Purpose: We designed a study investigating the cardioprotective role of sleep apnea (SA) in patients with acute myocardial infarction (AMI), focusing on its association with infarct size and coronary collateral circulation.
Methods: We recruited adults with AMI, who underwent Level-III SA testing during hospitalization. Delayed-enhancement cardiac magnetic resonance (CMR) imaging was performed to quantify AMI size (percent-infarcted myocardium).
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