老年感染性休克患者的地区差异和死亡相关危险因素:多水平Logistic回归模型的管理数据分析。

IF 1.8 Q2 MEDICINE, GENERAL & INTERNAL
JMA journal Pub Date : 2025-07-15 Epub Date: 2025-06-06 DOI:10.31662/jmaj.2024-0331
Shinichiro Yoshida, Akira Babazono, Ning Liu, Reiko Yamao, Reiko Ishihara
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引用次数: 0

摘要

重症监护病房(ICU)政策和医生特征的差异影响死亡率,可能导致死亡率的地区差异。以前的研究没有专门关注脓毒性休克或老年患者,也缺乏对环境效应的考虑。我们假设老年感染性休克患者的死亡率存在区域差异,并调查了与死亡率相关的因素。方法:对行政医疗索赔资料进行分析。参与者于2015年4月至2020年3月在日本福冈县注册。根据重症监护医学委员会的认证,ICU医生被分为“重症医师”或“ICU专职医生”。主要终点为ICU入院后28天死亡率。对福冈县和9个二级医疗区所有icu的数据进行分析。我们计算并比较了不同地区的28天死亡率。进行多水平逻辑回归分析以调整情境效应。结果:在1238名参与者中,不同地区的死亡率从18.3%到41.4%不等。基于多水平logistic分析,年龄、性别、术后入院和每位重症监护医师的ICU床位数量与死亡率显著相关。在多水平分析中,无重症监护人员与每4张ICU床位有≥1名重症监护人员的校正优势比为1.99(95%可信区间1.15-3.44,p = 0.01)。结论:在考虑了区域背景效应后,我们的分析证实了老年感染性休克患者死亡率的区域差异。死亡率受ICU医生是否获得重症监护医学委员会认证的影响。这些发现表明,在时间、强度和知识方面的充分投入对于降低老年感染性休克患者的死亡率至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Regional Differences and Mortality-associated Risk Factors among Older Patients with Septic Shock: Administrative Data Analysis with Multilevel Logistic Regression Modelling.

Regional Differences and Mortality-associated Risk Factors among Older Patients with Septic Shock: Administrative Data Analysis with Multilevel Logistic Regression Modelling.

Regional Differences and Mortality-associated Risk Factors among Older Patients with Septic Shock: Administrative Data Analysis with Multilevel Logistic Regression Modelling.

Introduction: Variations in intensive care unit (ICU) policies and physician characteristics influence mortality, potentially leading to regional differences in mortality rates. Previous studies have not specifically focused on septic shock or older patients and have lacked consideration of the context effect. We hypothesized that regional variability in mortality exists among older patients with septic shock and investigated factors associated with mortality.

Methods: Administrative medical claims data were analyzed. Participants were enrolled from April 2015 to March 2020 in Fukuoka Prefecture, Japan. ICU physicians were classified based on board certification in intensive care medicine as either "intensivists" or "ICU-dedicated physicians". The primary outcome was 28-day mortality after ICU admission. Data from all ICUs in Fukuoka Prefecture and 9 secondary medical areas were analyzed. We calculated and compared the 28-day mortality rates across regions. Multilevel logistic regression analyses were conducted to adjust for the context effect.

Results: Among the 1,238 participants, mortality across regions ranged from 18.3% to 41.4%. Based on multilevel logistic analyses, age, sex, postsurgical admission, and the number of ICU beds per intensivist were significantly associated with mortality. The adjusted odds ratio from the multilevel analysis for having no intensivists versus having ≥1 intensivist per 4 ICU beds was 1.99 (95% confidence interval 1.15-3.44, p = 0.01).

Conclusions: After accounting for the regional context effect, our analysis confirmed regional mortality variability in mortality among older patients with septic shock. Mortality was influenced by whether ICU physicians are board-certified in intensive care medicine. These findings suggest that sufficient commitment in terms of time, intensity, and knowledge is crucial to reducing mortality in older patients with septic shock.

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