| Autor: |
Prabu P; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Acree L; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Waller JL; Population Health Sciences, Medical College of Georgia at Augusta University, Augusta, GA, USA., Linder DF; Population Health Sciences, Medical College of Georgia at Augusta University, Augusta, GA, USA., Bollag WB; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.; Physiology, Medical College of Georgia at Augusta University, Augusta, GA, USA.; Charlie Norwood VA Medical Center, Medical College of Georgia at Augusta University, Augusta, GA, USA., Mohammed A; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Padala S; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Healy W; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Kheda M; Southwest Georgia Nephrology, Medical College of Georgia at Augusta University, Albany, GA, USA., Baer SL; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.; Charlie Norwood VA Medical Center, Medical College of Georgia at Augusta University, Augusta, GA, USA., Dillard T; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA., Taskar V; Departments of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA. |
| Abstrakt: |
Sleep apnea (SA) is highly prevalent in the end-stage renal disease (ESRD) population. However, the impact of SA on mortality in ESRD is unclear. This study investigates the relationship between SA and mortality in ESRD. The United States Renal Data System was queried in a retrospective cohort study to identify ESRD patients aged 18-100 years who initiated hemodialysis between 2005 and 2013. Diagnoses of SA and comorbidities were determined from International Classification of Disease-9 codes and demographic variables from Centers for Medicare and Medicaid Services Form-2728. Cox proportional hazards models were used to examine the association of SA with mortality controlling for multiple variables. Of 858,131 subjects meeting inclusion criteria, 587 were found to have central SA (CSA) and 22,724 obstructive SA (OSA). The SA cohort was younger and more likely to be male and Caucasian compared to the non-SA cohort, with more diagnoses of tobacco and alcohol use, hypertension, heart failure, and diabetes. Both CSA (adjusted hazard ratio (aHR) = 1.42, 95% confidence interval (CI): 1.29-1.56) and OSA (aHR = 1.35, 95% CI: 1.32-1.37) were associated with increased mortality. Other variables associated with increased mortality included age, dialysis initiation with a catheter or graft, alcohol use, hypertension, and cardiovascular disease. Factors associated with decreased mortality included female sex, black race, Hispanic ethnicity, diagnosis of heart failure or diabetes, and an ESRD etiology of glomerulonephritis or polycystic kidney disease. Since a diagnosis of either OSA or CSA increases mortality risk, early identification of SA and therapy in this ESRD population may improve survival. |
