Role of platelet to albumin ratio for predicting persistent acute kidney injury in patients admitted to the intensive care unit

作者全名："Zhai, Yuanwei; Liu, Xiaoqiang; Li, Yu; Hu, Qionghua; Zhang, Zhengwei; Hu, Tianyang"

作者地址："[Zhai, Yuanwei] First Peoples Hosp Ziyang, Dept Med Imaging, Ziyang, Sichuan, Peoples R China; [Liu, Xiaoqiang] Anyue Cty Peoples Hosp, Dept Orthoped Surg, Ziyang, Sichuan, Peoples R China; [Li, Yu] Chongqing Med Univ, Dept Nephrol, Bishan Hosp, Chongqing, Peoples R China; [Hu, Qionghua; Zhang, Zhengwei] Chengdu Second Peoples Hosp, Dept Crit Care Med, 10 Qingyunnan St, Chengdu 610017, Sichuan, Peoples R China; [Hu, Tianyang] Chongqing Med Univ, Affiliated Hosp 2, Precis Med Ctr, 74 Linjiang Rd, Chongqing 400010, Peoples R China"

通信作者："Zhang, ZW (通讯作者)，Chengdu Second Peoples Hosp, Dept Crit Care Med, 10 Qingyunnan St, Chengdu 610017, Sichuan, Peoples R China.; Hu, TY (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Precis Med Ctr, 74 Linjiang Rd, Chongqing 400010, Peoples R China."

来源：BMC ANESTHESIOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001033481600001

JCR分区：Q2

影响因子：2.3

年份：2023

卷号：23

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Platelet to albumin ratio; Persistent acute kidney injury; Intensive care unit

摘要："BackgroundThe aim of this study was to investigate the prognostic role of platelet to albumin ratio (PAR) and in persistent acute kidney injury (pAKI) of patients admitted to the intensive care unit (ICU).MethodsWe involved pAKI patients from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and eICU Collaborative Research Database (eICU-CRD). Receiver operating curve (ROC) analysis was performed to evaluate the optimal cut-off PAR.ResultsA total of 7,646 patients were finally included in the present study. The optimal cut-off value of PAR was 7.2. The high-PAR group was associated with pAKI (hazard ratio [HR]: 3.25, 95% CI: 2.85-3.72, P < 0.001). We also performed this in the validation cohort, the results further confirmed that the high-PAR group was associated with pAKI (HR: 2.24, 95% CI: 1.86-2.71, P < 0.001). The PAR exhibited good pAKI predictive abilities in the original cohort (C-index: 0.726, 95%CI: 0.714-0.739) and in the validation cohort (C-index: 0.744, 95%CI:0.722-0.766) Moreover, as a systemic inflammatory indicator, PAR depicted better predictive ability compared to other systemic inflammatory indicators.ConclusionThe present study manifested that elevated PAR could predicts pAKI in patients admitted to ICU. PAR may be an easily obtained and useful biomarker to clinicians for the early identification of pAKI."

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