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CHAMPS 评分在预测下消化道出血风险分层中的作用。

Usefulness of the CHAMPS score for risk stratification in lower gastrointestinal bleeding.

机构信息

Department of Gastroenterology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Department of Gastroenterology, Akita City Hospital, Akita, Japan.

出版信息

Sci Rep. 2022 May 9;12(1):7587. doi: 10.1038/s41598-022-11666-y.

Abstract

We have recently developed a simple prediction score, the CHAMPS score, to predict in-hospital mortality in patients with upper gastrointestinal bleeding. In this study, the primary outcome of this study was the usefulness of the CHAMPS score for predicting in-hospital mortality with lower gastrointestinal bleeding (LGIB). Consecutive adult patients who were hospitalized with LGIB at two tertiary academic medical centers from 2015 to 2020 were retrospectively enrolled. The performance for predicting outcomes with CHAMPS score was assessed by a receiver operating characteristic curve analysis, and compared with four existing scores. In 387 patients enrolled in this study, 39 (10.1%) of whom died during the hospitalization. The CHAMPS score showed good performance in predicting in-hospital mortality in LGIB patients with an AUC (95% confidence interval) of 0.80 (0.73-0.87), which was significantly higher in comparison to the existing scores. The risk of in-hospital mortality as predicted by the CHAMPS score was shown: low risk (score ≤ 1), 1.8%; intermediate risk (score 2 or 3), 15.8%; and high risk (score ≥ 4), 37.1%. The CHAMPS score is useful for predicting in-hospital mortality in patients with LGIB.

摘要

我们最近开发了一种简单的预测评分,即 CHAMPS 评分,用于预测上消化道出血患者的住院死亡率。在这项研究中,本研究的主要结局是 CHAMPS 评分对预测下消化道出血(LGIB)患者住院死亡率的有用性。回顾性纳入 2015 年至 2020 年在两家三级学术医学中心因 LGIB 住院的连续成年患者。通过接受者操作特征曲线分析评估 CHAMPS 评分预测结局的性能,并与四个现有评分进行比较。在这项研究中纳入的 387 例患者中,有 39 例(10.1%)在住院期间死亡。CHAMPS 评分在预测 LGIB 患者住院死亡率方面表现出良好的性能,AUC(95%置信区间)为 0.80(0.73-0.87),与现有评分相比显著更高。CHAMPS 评分预测住院死亡率的风险如下:低风险(评分≤1),1.8%;中风险(评分 2 或 3),15.8%;高风险(评分≥4),37.1%。CHAMPS 评分可用于预测 LGIB 患者的住院死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/624e/9085815/573dd9c37051/41598_2022_11666_Fig1_HTML.jpg

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