Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China
Abstract Purpose Exploring the risk factors for mortality of hemodialysis patients undergoing COVID-19 and the changes in mortality before and after the opening of the epidemic in northern Hunan province, China. Methods We analyzed 230 hemodialysis patients with COVID-19 in the Yiyang Central Hospit...
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2025-01-01
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Online Access: | https://doi.org/10.1186/s12882-025-03946-2 |
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author | Zhangxiu He Zhong Peng Ning Gao Shuzhu Zhong Fengyi Yu Zixu Tang Zihao Liao Song Zhao Gloria Umwiza Ming Chen Wei Long |
author_facet | Zhangxiu He Zhong Peng Ning Gao Shuzhu Zhong Fengyi Yu Zixu Tang Zihao Liao Song Zhao Gloria Umwiza Ming Chen Wei Long |
author_sort | Zhangxiu He |
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description | Abstract Purpose Exploring the risk factors for mortality of hemodialysis patients undergoing COVID-19 and the changes in mortality before and after the opening of the epidemic in northern Hunan province, China. Methods We analyzed 230 hemodialysis patients with COVID-19 in the Yiyang Central Hospital from November 01, 2022 to February 28, 2023. Demographic data, laboratory data and public diseases were collected. Cox regression analysis was used to identify risk factors and independent predictors of mortality. The receiver operating characteristic (ROC) curve was used to determine the diagnostic value of risk factors in hemodialysis COVID-19 patients. Results The average duration of the disease was 12.53 days. The mortality rate in our cohort was 28.70%. Independent predictors of mortality in our cohort were: age (hazard ratio [HR] 1.09; 95% confidence interval [CI], 1.05–1.14; P < 0.001), elevated procalcitonin (PCT) levels (HR 1.02; 95%CI, 1.01–1.03; P < 0.001), and higher white blood cell-neutrophil ratio (NWR) (HR 1.04; 95%CI, 1.04–1.07; P = 0.004). Areas under the ROC curve (AUC) for age, NWR, PCT, age*NWR were 0.70 (95%CI: 0.62–0.77), 0.82 (95%CI: 0.75–0.90), 0.64 (95%CI: 0.55–0.73), and 0.89 (0.85,0.94). Conclusion We discovered that old age, high levels of NWR and PCT might be predictors of mortality, reported the causes and prognostic predictors of mortality in hemodialysis populations with COVID-19 from northern Hunan, China. |
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language | English |
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spelling | doaj-art-1a8a716ff1464a77b2ac0a13a757141a2025-01-19T12:13:39ZengBMCBMC Nephrology1471-23692025-01-0126111310.1186/s12882-025-03946-2Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, ChinaZhangxiu He0Zhong Peng1Ning Gao2Shuzhu Zhong3Fengyi Yu4Zixu Tang5Zihao Liao6Song Zhao7Gloria Umwiza8Ming Chen9Wei Long10Department of Nephrology, Yiyang Central HospitalDepartment of Gastroenterolog, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalDepartment of Nephrology, Yiyang Central HospitalThe First Affiliated Hospital of Hengyang Medical School, University of South ChinaThe First Affiliated Hospital of Hengyang Medical School, University of South ChinaDepartment of Nephrology, Yiyang Central HospitalAbstract Purpose Exploring the risk factors for mortality of hemodialysis patients undergoing COVID-19 and the changes in mortality before and after the opening of the epidemic in northern Hunan province, China. Methods We analyzed 230 hemodialysis patients with COVID-19 in the Yiyang Central Hospital from November 01, 2022 to February 28, 2023. Demographic data, laboratory data and public diseases were collected. Cox regression analysis was used to identify risk factors and independent predictors of mortality. The receiver operating characteristic (ROC) curve was used to determine the diagnostic value of risk factors in hemodialysis COVID-19 patients. Results The average duration of the disease was 12.53 days. The mortality rate in our cohort was 28.70%. Independent predictors of mortality in our cohort were: age (hazard ratio [HR] 1.09; 95% confidence interval [CI], 1.05–1.14; P < 0.001), elevated procalcitonin (PCT) levels (HR 1.02; 95%CI, 1.01–1.03; P < 0.001), and higher white blood cell-neutrophil ratio (NWR) (HR 1.04; 95%CI, 1.04–1.07; P = 0.004). Areas under the ROC curve (AUC) for age, NWR, PCT, age*NWR were 0.70 (95%CI: 0.62–0.77), 0.82 (95%CI: 0.75–0.90), 0.64 (95%CI: 0.55–0.73), and 0.89 (0.85,0.94). Conclusion We discovered that old age, high levels of NWR and PCT might be predictors of mortality, reported the causes and prognostic predictors of mortality in hemodialysis populations with COVID-19 from northern Hunan, China.https://doi.org/10.1186/s12882-025-03946-2HemodialysisCOVID-19MortalityPrognosis |
spellingShingle | Zhangxiu He Zhong Peng Ning Gao Shuzhu Zhong Fengyi Yu Zixu Tang Zihao Liao Song Zhao Gloria Umwiza Ming Chen Wei Long Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China BMC Nephrology Hemodialysis COVID-19 Mortality Prognosis |
title | Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China |
title_full | Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China |
title_fullStr | Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China |
title_full_unstemmed | Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China |
title_short | Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China |
title_sort | risk factors for the mortality of hemodialysis patients with covid 19 in northern hunan province china |
topic | Hemodialysis COVID-19 Mortality Prognosis |
url | https://doi.org/10.1186/s12882-025-03946-2 |
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