Abstract

Studies have shown that COPD and smoking are associated with increased suicide risk. To date, there are no prospective studies examining suicide risk among individuals with smoking exposure along a spectrum of pulmonary diseases ranging from normal spirometry to severe COPD. Which clinical variables predict death by suicide or overdose of indeterminate intent in a large cohort of individuals with smoking exposure within the Genetic Epidemiology of COPD (COPDGene) study? We studied data from 9,930 participants involved in COPDGene, a multisite, prospective cohort study of individuals with smoking exposure. Primary cause of adjudicated deaths was identified by using death certificates, family reports, and medical records. Time to death by suicide/overdose was examined as the primary outcome in Cox regression models including age, sex, race, BMI, pack-years, current smoking status, airflow limitation (FEV1 %predicted), dyspnea (modified Medical Research Council scale score≥ 2), 6-min walk distance, supplemental oxygen use, and severe exacerbations in the prior year with time-varying covariates and other causes of death as a competing risk. The cohort was 47%female and 33%Black (67%White); they had a mean ± SD age of 59.6 ± 9.0 years and a mean FEV1 %predicted of 76.1 ± 25.5. Sixty-three individuals died by suicide/overdose. Factors associated with risk of suicide/overdose were current smoking (hazard ratio [HR], 6.44; 95%CI, 2.64-15.67), use of sedative/hypnotics (HR, 2.33; 95%CI, 1.24-4.38), and dyspnea (HR, 2.23; 95%CI, 1.34-3.70). Lower risk was associated with older age (per-decade HR, 0.45; 95%CI, 0.31-0.67), higher BMI (HR, 0.95; 95%CI, 0.91-0.99), and African-American race (HR, 0.41; 95%CI, 0.23-0.74). Severity of airflow limitation (FEV %predicted) was not associated with suicide risk. In this well-characterized cohort of individuals with smoking exposure with and without COPD, risk factors for suicide/overdose were identified that emphasize the subjective experience of illness over objective assessments of lung function.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call