Xiaofeng Tang, Li Zhang, Ruijuan Wu, Jie Liu, Yongfeng Cheng
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引用次数: 0
Abstract
Background: This study aimed to evaluate the association between metabolic syndrome (MetS) and clinical outcomes in elderly patients hospitalized with community-acquired pneumonia (CAP).
Methods: A retrospective cohort study was conducted on 712 elderly patients (aged ≥ 65 years) admitted with CAP to a tertiary hospital between 2018 and 2022. Patients were stratified into two groups based on MetS status (MetS group vs. non-MetS group). The primary outcome was 90-day all-cause mortality. Propensity score matching (PSM) was applied to balance baseline characteristics. Multivariate Cox regression and logistic regression analyses were performed to assess associations, adjusting for confounders.
Results: After propensity score matching, 336 patients (168 MetS and 168 non-MetS) were included in the final analysis. The MetS group had a significantly higher 90-day mortality rate compared to the non-MetS group (29.8% vs. 11.9%, p < 0.01). Multivariate Cox regression analysis demonstrated that MetS was independently associated with a 1.98-fold increased risk of mortality (95% CI: 1.08-3.63; p = 0.03). A clear dose-response relationship was observed, with each additional MetS component increasing mortality risk by 1.46-fold (95% CI: 1.11-2.16; p < 0.01).
Conclusion: MetS is an independent predictor of worse short-term outcomes in elderly CAP patients, including higher mortality and longer hospital stays. Early recognition and management of MetS may improve prognosis in this high-risk population.
背景:本研究旨在评估老年社区获得性肺炎(CAP)住院患者代谢综合征(MetS)与临床结局的关系。方法:对某三级医院2018 - 2022年收治的712例老年CAP患者(年龄≥65岁)进行回顾性队列研究。根据MetS状态将患者分为两组(MetS组与非MetS组)。主要终点为90天全因死亡率。倾向评分匹配(PSM)用于平衡基线特征。采用多变量Cox回归和逻辑回归分析来评估相关性,调整混杂因素。结果:倾向评分匹配后,336例患者(168例MetS和168例非MetS)纳入最终分析。与非MetS组相比,MetS组的90天死亡率明显更高(29.8% vs 11.9%)。结论:MetS是老年CAP患者短期预后较差的独立预测因子,包括更高的死亡率和更长的住院时间。早期识别和管理MetS可能会改善这一高危人群的预后。
期刊介绍:
BMC Pulmonary Medicine is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of pulmonary and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.