Qin Wang1, Ke-Jie Hu1, Ye-Ping Ren2, Jie Dong3, Qing-Feng Han4, Tong-Ying Zhu5, Jiang-Hua Chen6, Hui-Ping Zhao7, Meng-Hua Chen8, Rong Xu3, Yue Wang4, Chuan-Ming Hao5, Xiao-Hui Zhang6, Mei Wang7, Na Tian8, Hai-Yan Wang3. 1. Department of Nephrology, Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China. 2. Department of Nephrology, Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China renyeping123@126.com. 3. Renal Division, Department of Medicine, Peking University First Hospital, and Institute of Nephrology, Peking University, Key Laboratory of Renal Disease, Ministry of Health of China, and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China. 4. Department of Nephrology, Peking University Third Hospital, Beijing, China. 5. Department of Nephrology, Huashan Hospital of Fudan University, Shanghai, China. 6. Kidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China. 7. Department of Nephrology, Peking University People's Hospital, Beijing, China. 8. Department of Nephrology, General Hospital of Ningxia Medical University, Ningxia, China.
Abstract
UNLABELLED: ♦ BACKGROUND: Research indicates that the socioeconomic status (SES) of individuals and the area where they live are related to initial peritonitis and outcomes in peritoneal dialysis (PD). We conducted a retrospective, multi-center cohort study in China to examine these associations. ♦ METHODS: Data on 2,171 PD patients were collected from 7 centers, including baseline demographic, socioeconomic, and laboratory data. We explored the potential risk factors for initial peritonitis and outcomes using univariate Cox regression and unadjusted binary logistic regression. Then, we used propensity score matching to balance statistically significant risk factors for initial peritonitis and outcomes, and Kaplan-Meier survival analysis to compare differences in peritonitis-free rates between different groups of participants after matching. ♦ RESULTS: A total of 563 (25.9%) initial episodes of peritonitis occurred during the study period. The Kaplan-Meier peritonitis-free rate curve showed high-income patients had a significantly lower risk than low-income patients (p = 0.007) after matching for age, hemoglobin, albumin, and regional SES and PD center. The risk of treatment failure was significantly lower in the high-income than the low-income group after matching for the organism causing peritonitis and PD center: odds ratio (OR) = 0.27 (0.09 - 0.80, p = 0.018). Regional SES and education were not associated with initial peritonitis and outcomes. ♦ CONCLUSIONS: Our study demonstrates low individual income is a risk factor for the initial onset of peritonitis and treatment failure after initial peritonitis.
UNLABELLED: ♦ BACKGROUND: Research indicates that the socioeconomic status (SES) of individuals and the area where they live are related to initial peritonitis and outcomes in peritoneal dialysis (PD). We conducted a retrospective, multi-center cohort study in China to examine these associations. ♦ METHODS: Data on 2,171 PDpatients were collected from 7 centers, including baseline demographic, socioeconomic, and laboratory data. We explored the potential risk factors for initial peritonitis and outcomes using univariate Cox regression and unadjusted binary logistic regression. Then, we used propensity score matching to balance statistically significant risk factors for initial peritonitis and outcomes, and Kaplan-Meier survival analysis to compare differences in peritonitis-free rates between different groups of participants after matching. ♦ RESULTS: A total of 563 (25.9%) initial episodes of peritonitis occurred during the study period. The Kaplan-Meier peritonitis-free rate curve showed high-income patients had a significantly lower risk than low-income patients (p = 0.007) after matching for age, hemoglobin, albumin, and regional SES and PD center. The risk of treatment failure was significantly lower in the high-income than the low-income group after matching for the organism causing peritonitis and PD center: odds ratio (OR) = 0.27 (0.09 - 0.80, p = 0.018). Regional SES and education were not associated with initial peritonitis and outcomes. ♦ CONCLUSIONS: Our study demonstrates low individual income is a risk factor for the initial onset of peritonitis and treatment failure after initial peritonitis.
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