Diagnostic Groups and Depressed Mood as Predictors of 22-Month Mortality in Medical Inpatients

OBJECTIVE: While depression has been found to predict mortality in acute myocardial infarction, results from many other groups of medical patients are inconclusive. It is, therefore, unclear whether depression also predicts mortality in the typical mixed patient populations treated on medical hospital wards and whether an increased risk can be identified by means of patients' self ratings of depression. METHOD: The Hospital Anxiety and Depression scale was used as a routine screening tool in consecutive admissions to the general medical wards of a university hospital. The official survival data were obtained 22 months later. For all 454 patients who completed the screening questionnaire, complete survival data were available. RESULTS: High depression scores significantly predicted mortality in univariate comparisons (odds ratio 3.2; 95% CI 1.9-5.5) and in multivariate Cox regression analyses controlling for demographic and medical baseline variables (multivariate odds ratio 1.9; 95% CI 1.2-3.1; p < .01). Other significant predictors in the multivariate model were having a principal diagnosis of hematological disease or cancer, and older age. Disability, as assessed by nurses' ratings, and gender were not related to mortality. Subgroup analyses showed that the effect of depression scores was greatest in cardiopulmonary patients, but there was also a uniform trend toward higher mortality in depressed patients with other diagnoses. CONCLUSION: Depressed mood is an independent risk factor for all-cause mortality in medical inpatients. Identifying patients at risk does not require formal psychiatric diagnoses, but can be achieved by means of a short, routinely administered self-rating questionnaire.