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血清白蛋白与肌酐比值作为相关腹泻患者 30 天全因死亡率的预测因子。

Serum Albumin to Creatinine Ratio as Predictor for 30-Day All-Cause Mortality in Patients with Associated Diarrhea.

机构信息

Department of Internal Medicine A, Baruch Padeh Medical Center, Poriya, Israel.

The Azrieli Faculty of Medicine, Safed, Bar-Ilan University, Poriya, Israel.

出版信息

Ann Clin Lab Sci. 2021 Jul;51(4):557-561.

Abstract

BACKGROUND

-associated diarrhea (CDAD) is a significant cause of mortality and morbidity in hospitalized patients. Several scores have developed in order to assess the severity of CDAD.

OBJECTIVE

To determine the role of the serum albumin to creatinine ratio (sACR) in predicting the 30-day all-cause mortality of patients with CDAD in comparison with other known severity scores of CDAD.

METHODS

A retrospective study was conducted at Baruch-Padeh Medical Center from January 2014 to December 2019. Patients with CDAD were recruited from Internal Medicine Departments, Intensive Care Units, and Surgical Departments. Data on demographic characteristics, clinical signs, underlying conditions, and several risk factors for CD infection were collected. We compared between severity scores of CDAD, such as ATLAS, the CDAD severity score, and the sACR in predicting the 30-day all-cause mortality in hospitalized patients with CDAD.

RESULTS

116 patients with CDAD were included. The ATLAS, CDAD scores, and sACR were calculated for all patients. The mean age of the participants was 71.4±16.4 years. 57.7% were of female gender. Fifty-two (44.8%) died within 30 days. An ATLAS score of ≥8 points had a 3.6-fold higher risk of 30-day all-cause mortality in hospitalized patients with CDAD (HR 3.6, 95% CI 3.28-3.99, =0.001), a CDAD score of ≥5 points (HR 1.1, 95% CI 0.91-1.42, =0.05), and a sACR≤3.4 (HR 1.5, 95%CI 1.25-1.82, =0.04).

CONCLUSION

In this study, it was found that a sACR≤3.4 could predict the 30-day all-cause mortality in patients with CDAD.

摘要

背景

-相关腹泻(CDAD)是住院患者死亡率和发病率的重要原因。已经开发了几种评分来评估 CDAD 的严重程度。

目的

与其他已知的 CDAD 严重程度评分相比,确定血清白蛋白与肌酐比值(sACR)在预测 CDAD 患者 30 天全因死亡率中的作用。

方法

本回顾性研究于 2014 年 1 月至 2019 年 12 月在 Baruch-Padeh 医疗中心进行。从内科、重症监护病房和外科部门招募 CDAD 患者。收集了人口统计学特征、临床症状、基础疾病和 CD 感染的几个危险因素的数据。我们比较了 CDAD 的严重程度评分,如 ATLAS、CDAD 严重程度评分和 sACR,以预测住院 CDAD 患者 30 天全因死亡率。

结果

纳入了 116 例 CDAD 患者。为所有患者计算了 ATLAS、CDAD 评分和 sACR。参与者的平均年龄为 71.4±16.4 岁。57.7%为女性。52 例(44.8%)在 30 天内死亡。ATLAS 评分≥8 分的住院 CDAD 患者 30 天全因死亡率风险增加 3.6 倍(HR 3.6,95%CI 3.28-3.99,=0.001),CDAD 评分≥5 分(HR 1.1,95%CI 0.91-1.42,=0.05),sACR≤3.4(HR 1.5,95%CI 1.25-1.82,=0.04)。

结论

本研究发现,sACR≤3.4 可预测 CDAD 患者 30 天全因死亡率。

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