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논문 기본 정보

자료유형
학술저널
저자정보
정찬영 (Asan Medical Center, University of Ulsan College of Medicine) Lim Jeong-Hoon (Division of Nephrology, Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Korea.) Paek Jin Hyuk (Department of Internal Medicine, Keimyung University School of Medicine, Daegu, KoreaKeimyung University Kidney Institute, Daegu, Korea) Kim Kipyo (Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University College of Medicine, Incheon, Korea.) 김효상 (Division of Nephrology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea) Kim Yong Chul (Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.) Jung Jiyun (Dongguk University Ilsan Hospital) 임정훈 (경북대학교) 백진혁 (계명대학교) 김기표 (인하대학교) 반태현 (가톨릭대학교) 박재윤 (동국대학교일산병원) 김효상 (울산대학교) 김용철 (서울대학교병원) 백충희 (울산대학교)
저널정보
대한신장학회 Kidney Research and Clinical Practice Kidney Research and Clinical Practice Vol.43 No.4
발행연도
2024.7
수록면
433 - 443 (11page)
DOI
10.23876/j.krcp.23.321

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Background: Identifying risk factors and improving prognostication for mortality among patients with sepsis-associated acute kidney injury (AKI) undergoing continuous kidney replacement therapy (CKRT) is important in improving the adverse prognosis of this patient population. This study aimed to compare the prognostic value of existing systemic inflammation biomarkers and determine the optimal systemic inflammation biomarker in patients with sepsis-associated AKI receiving CKRT. Methods: This multi-center, retrospective, observational cohort study included 1,500 patients with sepsis-associated AKI treated with intensive care and CKRT. The main predictor was a panel of 13 different systemic inflammation biomarkers. The primary outcome was 28-day mortality after CKRT initiation. Secondary outcomes included 90-day mortality after CKRT initiation, CKRT duration, kidney replacement therapy dependence at discharge, and lengths of intensive care unit (ICU) and hospital stays. Results: When added to the widely accepted Acute Physiology and Chronic Health Evaluation II score, platelet-to-albumin ratio (PAR) and neutrophil-platelet score (NPS) had the highest improvements in prognostication of 28-day mortality, where the corresponding increases in C-statistic were 0.01 (95% confidence interval [CI], 0.00–0.02) and 0.02 (95% CI, 0.01–0.03). Similar findings were observed for 90-day mortality. The 28- and 90-day mortality rates were significantly lower for the higher PAR and NPS quartiles. These associations remained significant even after adjustment for potential confounding variables in multivariable Cox proportional hazards models. Conclusion: Of the available systemic inflammation biomarkers, the addition of PAR or NPS to conventional ICU prediction models improved the prognostication of patients with sepsis-associated AKI receiving intensive care and CKRT.

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