Importance of dialysis specialists in early mortality in elderly hemodialysis patients: a multicenter retrospective cohort study.
Yohan ParkJi Won LeeSe-Hee YoonSung-Ro YunHyunsuk KimEunjin BaeYoung Youl HyunSungjin ChungSoon Hyo KwonJang-Hee ChoKyung Don YooWoo Yeong ParkIn O SunByung Chul YuGang-Jee KoJae Won YangSang Heon SongSung Joon ShinYu Ah HongWon Min HwangPublished in: Scientific reports (2024)
The early mortality rate in elderly patients undergoing hemodialysis is more than twice that in young patients, requiring more specialized healthcare. We investigated whether the number of professional dialysis specialists affected early mortality in elderly patients undergoing hemodialysis. This multicenter retrospective cohort study analyzed data from 1860 patients aged ≥ 70 years who started hemodialysis between January 2010 and December 2017. Study regions included Seoul, Gyeonggi-do, Gangwon-do, Daejeon/Chungcheong-do, Daegu/Gyeongsangbuk-do, and Busan/Ulsan/Gyeongsangnam-do. The number of patients undergoing hemodialysis per dialysis specialist was calculated using registered data from each hemodialysis center. Early mortality was defined as death within 6 months of hemodialysis initiation. Gangwon-do (28.3%) and Seoul (14.5%) showed the highest and lowest early mortality rate, respectively. Similarly, Gangwon-do (64.6) and Seoul (43.9) had the highest and lowest number of patients per dialysis specialist, respectively. Relatively consistent results were observed for the regional rankings of early mortality rate and number of patients per dialysis specialist. Multivariate Cox regression analysis-adjusted for previously known significant risk factors-revealed that the number of patients per dialysis specialist was an independent risk factor for early mortality (hazard ratio: 1.031, p < 0.001). This study underscores the growing need for dialysis specialists for elderly hemodialysis patients in Korea.
Keyphrases
- end stage renal disease
- chronic kidney disease
- peritoneal dialysis
- risk factors
- healthcare
- ejection fraction
- newly diagnosed
- cardiovascular events
- palliative care
- clinical trial
- type diabetes
- prognostic factors
- middle aged
- patient reported outcomes
- machine learning
- big data
- cross sectional
- social media
- high resolution
- artificial intelligence
- electronic health record
- data analysis
- single cell
- patient reported
- double blind
- health information
- atomic force microscopy