IIR 10-176
Risk of death among Veterans with depression
Kara Zivin, PhD MS MA VA Ann Arbor Healthcare System, Ann Arbor, MI Ann Arbor, MI Funding Period: September 2011 - February 2015 |
BACKGROUND/RATIONALE:
Veterans have high rates of depression. In 2007, 15% of the VA patient population received depression treatment (759,888 Veterans). Annual VA expenditures for depression exceed $3 billion. In addition to high costs, depression negatively affects quality of life and health outcomes, with preliminary evidence that depression may reduce life expectancy in veterans. Although research on the general US population indicates that depression may increase mortality risks, associations are poorly understood, and there has been no research on large healthcare systems, where mortality risks associated with depression could be addressed. Research examining whether and to what extent depression may influence mortality among VA patients is critical for VA health system efforts to reduce mortality risks. OBJECTIVE(S): The objectives of this study are to 1) examine the risks and causes of mortality associated with depression among VA patients, 2) characterize the impact of specific modifiable health behaviors (smoking, drinking, and obesity) on the relationships between depression and all-cause mortality, mortality from cardiovascular disease, and mortality from cancer and 3) examine associations between receipt of depression treatment and mortality. The extension of our original study Aim 3 will consist of a pharmacosurveillance study of sudden cardiac event risks associated with use of commonly prescribed antidepressants. Aim 3a. To evaluate prevalence of ventricular arrhythmia associated with antidepressant use. Aim 3b. To evaluate prevalence of cardiac-related mortality associated with antidepressant use. METHODS: To achieve our objectives, we will create a new panel dataset with health and sociodemographic information on all VA service users nationwide (N~4,700,000) from FY03 followed for up to five years. We will conduct analyses with merged secondary data from existing data sources. These sources will include the VA's National Patient Care Database (NPCD) for inpatient and outpatient clinical data, health care utilization, and prescription medications, Medicare data for eligible patients, National Death Index (NDI) for mortality data, and the 2003 Survey of Healthcare Experiences of Patients (SHEP) for additional sociodemographic and health behavior information. We will use survival analysis techniques, specifically Cox regression models, as well as logistic regression analysis to examine the impact of depression on timing and causes of death in our VA patient cohort. We will examine the independent association of depression with death, as well as the impact of potential confounding factors, including medical and psychiatric comorbidity, health behaviors, and sociodemographic characteristics. In analyses using statistical methods to control for possible treatment selection biases, we will examine the impact of depression treatment on mortality. FINDINGS/RESULTS: In our sample of over 5 million patients who met study criteria, 15.5% had depression, and 2.6% of the sample died within one year of follow-up. Depression was associated with an increased risk of one-year all-cause mortality, even when after adjusting for age, sex, race, number of medical comorbidities, inpatient and outpatient visits in the prior year, other psychiatric diagnoses, substance use disorders, nicotine use, and VA facility-level characteristics (HR: 1.15, 95% CI: 1.12, 1.17). Increased risk of mortality associated with baseline depression was very similar for two and three year mortality. We also assessed mortality due to multiple additional causes of death. 2.24 (95% CI, 1.95 to 2.57) from suicide, and 2.01 (95% CI, 1.72 to 2.35) for death from Parkinson's disease, 1.52 (95% CI, 1.35 to 1.72) for death from Alzheimer's disease, 1.43 (95% CI, 1.30 to 1.56) for death from cerebrovascular disease, 1.37 (95% CI, 1.26 to 1.49) for death from unintentional injuries, 1.30 (95% CI, 1.22 to 1.39) for death from respiratory illness, 1.21 (95% CI, 1.17 to 1.25) for death from heart disease, 1.23 (95% CI, 1.13 to 1.35) for death from diabetes, and 1.23 (95% CI, 1.11 to 1.37) for death from influenza. Depression was moderately positively associated with death from nephritis and septicemia, and moderately negatively associated with cancer and liver disease. Depression was not associated with death associated with hypertension or assault after covariate adjustment. Finally, depression was moderately positively associated with death from all other causes of death. A patient with depression died on average almost five years earlier than a patient without depression. We have completed the paper focusing on Aim 1 and are in the process of revising and resubmitting it for publication. The paper demonstrates depression increases risk of mortality from most major causes of death. We have completed analyses for Aims 2 and 3 and are working to prepare them for publication. Specifically, we are finding that antidepressant use is protective against mortality among VA patients with depression, and have conducted subanalyses by type of antidepressant (all of which are protective). Psychotherapy is also protective against mortality. IMPACT: In addition to being associated with psychiatric-related and injury-related causes of death, depression is associated with increased risk of death from several medical causes, independent of several major risk factors. Implications for policy, delivery, or practice: Patients treated for a range of disorders should also be assessed and treated for depression when applicable. These findings highlight the need to better understand and prevent the multisystem consequences of depression. Antidepressants and psychotherapy may decrease risks of mortality among depressed patients, even when accounting for depression severity. External Links for this ProjectNIH ReporterGrant Number: I01HX000475-01Link: https://reporter.nih.gov/project-details/8002832 Dimensions for VADimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.Learn more about Dimensions for VA. VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address. Search Dimensions for this project PUBLICATIONS:Journal Articles
DRA:
Mental, Cognitive and Behavioral Disorders
DRE: Treatment - Observational Keywords: none MeSH Terms: none |