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一种用于预测危重症成年患者持续性急性肾损伤低风险的简易评分方法。

A Simple Scoring Method for Predicting the Low Risk of Persistent Acute Kidney Injury in Critically Ill Adult Patients.

机构信息

Department of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan.

Department of Hemodialysis and Apheresis, The University of Tokyo Hospital, Tokyo, Japan.

出版信息

Sci Rep. 2020 Mar 31;10(1):5726. doi: 10.1038/s41598-020-62479-w.

Abstract

The renal angina index has been proposed to identify patients at high risk of persistent AKI, based on slight changes in serum creatinine and patient conditions. However, a concise scoring method has only been proposed for pediatric patients, and not for adult patients yet. Here, we developed and validated a concise scoring method using data on patients admitted to ICUs in 21 Japanese hospitals from 2012 to 2014. We randomly assigned to either discovery or validation cohorts, identified the factors significantly associated with persistent AKI using a multivariable logistic regression model in the discovery cohort to establish a scoring system, and assessed the validity of the scoring in the validation cohort using receiver operating characteristic analysis and the calibration slope. Among 8,320 patients admitted to the ICUs, persistent AKI was present in 1,064 (12.8%) patients. In the discovery cohort (n = 4,151), 'hyperbilirubinemia', 'sepsis' and 'ventilator and/or vasoactive' with small changes in serum creatinine were selected to establish the scoring. In the validation cohort (n = 4,169), the predicting model based on this scoring had a c-statistic of 0.79 (95%CI, 0.77-0.81) and was well calibrated. In conclusion, we established a concise scoring method to identify potential patients with persistent AKI, which performed well in the validation cohort.

摘要

肾绞痛指数已被提出,用于根据血清肌酐的轻微变化和患者情况来识别发生持续性急性肾损伤(AKI)风险较高的患者。然而,目前仅提出了针对儿科患者的简明评分方法,尚未针对成人患者提出。在此,我们利用 2012 年至 2014 年期间 21 家日本医院 ICU 收治患者的数据,开发并验证了一种简明评分方法。我们将患者随机分配到发现队列或验证队列,使用发现队列中的多变量逻辑回归模型确定与持续性 AKI 显著相关的因素,以建立评分系统,并使用接受者操作特征分析和校准斜率评估验证队列中的评分有效性。在 ICU 收治的 8320 例患者中,有 1064 例(12.8%)患者发生持续性 AKI。在发现队列(n=4151)中,“高胆红素血症”、“败血症”和“需要呼吸机和/或血管活性药物治疗”与血清肌酐的微小变化被选择用来建立评分。在验证队列(n=4169)中,基于该评分的预测模型的 C 统计量为 0.79(95%CI,0.77-0.81),且具有良好的校准度。总之,我们建立了一种简明的评分方法,用于识别可能发生持续性 AKI 的患者,该方法在验证队列中表现良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/859a/7109040/15ce2cbdaa5c/41598_2020_62479_Fig1_HTML.jpg

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