医学
心力衰竭
国家数据库
萧条(经济学)
联想(心理学)
数据库
内科学
计算机科学
认识论
哲学
宏观经济学
经济
作者
Neelkumar Patel,Sandipan Chakraborty,Dhrubajyoti Bandyopadhyay,Birendra Amgai,Adrija Hajra,Varunsiri Atti,Avash Das,Raktim K. Ghosh,Prakash Deedwania,Wilbert S. Aronow,Carl J. Lavie,Marco R. Di Tullio,Muthiah Vaduganathan,Gregg C. Fonarow
标识
DOI:10.1016/j.pcad.2020.03.014
摘要
Abstract Introduction Depression is a recognized predictor of adverse outcomes in patients with heart failure (HF) and is associated with poor quality of life, functional limitation, increased morbidity and mortality, decreased adherence to treatment, and increased rehospitalization. To understand the impact of depression on HF readmission, we conducted a retrospective cohort study using the Nationwide Readmission Database (NRD) 2010–2014. Methods We identified all patients with the primary discharge diagnosis of HF by ICD-9-CM codes. The primary outcome of the study was to identify 30-day all-cause readmission and causes of readmission in patients with and without depression. Multivariate Cox regression analysis was used to estimate the adjusted hazard ratio for the primary and secondary outcomes. Results Among, 3,500,570 patients admitted with HF, 9.7% had concomitant depression. Patients with depression were more likely to be readmitted within 30 days (19.7% vs. 18.5%; P Conclusion Among patients hospitalized with HF, the presence of depression is associated with increased all-cause readmission driven mainly by psychiatric causes but not CV-related readmission. Standard interventions targeted toward HF are unlikely to modify this portion of all-cause readmission.
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