内镜逆行胰胆管造影术后耐碳青霉烯类肠杆菌败血症:30 天全因死亡率的风险因素和基于回顾性队列的提名图的开发。

IF 4.8 2区 医学 Q1 INFECTIOUS DISEASES
Hongchen Zhang, Yue Wang, Xiaochen Zhang, Chenshan Xu, Dongchao Xu, Hongzhang Shen, Hangbin Jin, Jianfeng Yang, Xiaofeng Zhang
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引用次数: 0

摘要

背景:内镜逆行胰胆管造影术(ERCP)已成为一种常规内镜手术,对于诊断和治疗各种疾病,包括胆结石取出术和胆管及胰腺肿瘤的治疗至关重要。尽管ERCP疗效显著,但ERCP术后感染--尤其是由耐碳青霉烯类肠杆菌(CRE)引起的感染--具有很大的风险。在抗生素耐药性不断增加的背景下,这些风险凸显了对精确预测模型的需求,以加强术后护理、降低与ERCP术后CRE败血症相关的死亡风险并改善患者预后:本研究旨在探讨ERCP术后CRE败血症患者30天内死亡的风险因素,并建立一个能准确预测30天内死亡风险的提名图:方法: 分析了2010年1月至2022年12月期间发生ERCP术后CRE败血症的195名患者的数据。通过最小绝对收缩和选择算子(LASSO)回归模型对变量选择进行了优化。然后采用多变量逻辑回归分析建立预测模型,并对该模型的区分度、校准和临床实用性进行评估。通过引导法进行了内部验证:结果:提名图包括以下预测因素:年龄大于 80 岁(危险比 [HR] 2.61)、ERCP 前 90 天内入住重症监护室(ICU)(HR 2.64)、低蛋白血症(HR 4.55)、快速 Pitt 菌血症评分≥ 2(HR 2.61)、ERCP 后胰腺炎(HR 2.52)、经验疗法不当(HR 3.48)、明确疗法延迟(HR 2.64)和治疗时间短(结论:该研究发现了与ERCP 相关的重要风险因素:本研究确定了与胃食管反流术后 CRE 败血症患者 30 天死亡率相关的重要风险因素,并开发了一个能准确预测这一风险的提名图。这一工具使医疗从业人员能够提供个性化的风险评估,并及时采取适当的 CRE 治疗,从而降低死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbapenem-resistant Enterobacterales sepsis following endoscopic retrograde cholangiopancreatography: risk factors for 30-day all-cause mortality and the development of a nomogram based on a retrospective cohort.

Background: Endoscopic retrograde cholangiopancreatography (ERCP) has become a routine endoscopic procedure that is essential for diagnosing and managing various conditions, including gallstone extraction and the treatment of bile duct and pancreatic tumors. Despite its efficacy, post-ERCP infections - particularly those caused by carbapenem-resistant Enterobacterales (CRE) - present significant risks. These risks highlight the need for accurate predictive models to enhance postprocedural care, reduce the mortality risk associated with post-ERCP CRE sepsis, and improve patient outcomes in the context of increasing antibiotic resistance.

Objective: This study aimed to examine the risk factors for 30-day mortality in patients with CRE sepsis following ERCP and to develop a nomogram for accurately predicting 30-day mortality risk.

Methods: Data from 195 patients who experienced post-ERCP CRE sepsis between January 2010 and December 2022 were analyzed. Variable selection was optimized via the least absolute shrinkage and selection operator (LASSO) regression model. Multivariate logistic regression analysis was then employed to develop a predictive model, which was evaluated in terms of discrimination, calibration, and clinical utility. Internal validation was achieved through bootstrapping.

Results: The nomogram included the following predictors: age > 80 years (hazard ratio [HR] 2.61), intensive care unit (ICU) admission within 90 days prior to ERCP (HR 2.64), hypoproteinemia (HR 4.55), quick Pitt bacteremia score ≥ 2 (HR 2.61), post-ERCP pancreatitis (HR 2.52), inappropriate empirical therapy (HR 3.48), delayed definitive therapy (HR 2.64), and short treatment duration (< 10 days) (HR 5.03). The model demonstrated strong discrimination and calibration.

Conclusions: This study identified significant risk factors associated with 30-day mortality in patients with post-ERCP CRE sepsis and developed a nomogram to accurately predict this risk. This tool enables healthcare practitioners to provide personalized risk assessments and promptly administer appropriate therapies against CRE, thereby reducing mortality rates.

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来源期刊
Antimicrobial Resistance and Infection Control
Antimicrobial Resistance and Infection Control PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -INFECTIOUS DISEASES
CiteScore
9.70
自引率
3.60%
发文量
140
审稿时长
13 weeks
期刊介绍: Antimicrobial Resistance and Infection Control is a global forum for all those working on the prevention, diagnostic and treatment of health-care associated infections and antimicrobial resistance development in all health-care settings. The journal covers a broad spectrum of preeminent practices and best available data to the top interventional and translational research, and innovative developments in the field of infection control.
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