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临床预测规则,用于在入院时识别老年产毒艰难梭菌感染患者。

Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission.

机构信息

Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea.

Infection Control Unit, Korea University Anam Hospital, Seoul, Republic of Korea.

出版信息

BMC Geriatr. 2023 Mar 6;23(1):127. doi: 10.1186/s12877-023-03808-2.

Abstract

BACKGROUND

This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission.

METHODS

This retrospective case-control study was performed at a university-affiliated hospital. Active surveillance using a real-time polymerase chain reaction (PCR) assay for the toxin genes of C. difficile was conducted among older patients (≥ 65 years) upon admission to the Division of Infectious Diseases of our institution. This rule was drawn from a derivative cohort between October 2019 and April 2021 using a multivariable logistic regression model. Clinical predictability was evaluated in the validation cohort between May 2021 and October 2021.

RESULTS

Of 628 PCR screenings for toxigenic C. difficile carriage, 101 (16.1%) yielded positive findings. To establish clinical prediction rules in the derivation cohort, the formula was derived using significant predictors for toxigenic C. difficile carriage at admission, such as septic shock, connective tissue diseases, anemia, recent use of antibiotics, and recent use of proton-pump inhibitors. In the validation cohort, the sensitivity, specificity, and positive and negative predictive values of the prediction rule, based on a cut-off value of ≥ 0.45, were 78.3%, 70.8%, 29.5%, and 95.4%, respectively.

CONCLUSION

This clinical prediction rule for identifying toxigenic C. difficile carriage at admission may facilitate the selective screening of high-risk groups. To implement it in a clinical setting, more patients from other medical institutions need to be prospectively examined.

摘要

背景

本研究旨在开发和验证一种临床预测规则,以筛选入院时存在产毒艰难梭菌携带风险的老年患者。

方法

这是一项在大学附属医院进行的回顾性病例对照研究。在我院传染病科,对≥65 岁的老年患者入院时采用实时聚合酶链反应(PCR)检测艰难梭菌毒素基因进行主动监测。该规则是通过 2019 年 10 月至 2021 年 4 月的衍生队列使用多变量逻辑回归模型得出的。在 2021 年 5 月至 2021 年 10 月的验证队列中评估临床可预测性。

结果

在 628 次针对产毒艰难梭菌携带的 PCR 筛查中,有 101 次(16.1%)结果为阳性。为了在衍生队列中建立临床预测规则,使用入院时产毒艰难梭菌携带的显著预测因子(如感染性休克、结缔组织疾病、贫血、近期使用抗生素和质子泵抑制剂)推导公式。在验证队列中,预测规则基于≥0.45 的截断值,其灵敏度、特异性、阳性预测值和阴性预测值分别为 78.3%、70.8%、29.5%和 95.4%。

结论

该用于识别入院时产毒艰难梭菌携带的临床预测规则可能有助于选择性筛选高危人群。为了在临床环境中实施它,需要从其他医疗机构前瞻性地检查更多患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cc2/9990199/9bab71b69baf/12877_2023_3808_Fig1_HTML.jpg

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