老年心血管疾病患者肺部感染和风险预测模型的病原细菌和治疗耐药性
Hongbo Liu1, Liyan Xie2, Cong Xing3
1The Municipal Hospital of Qingdao Cadre Health Section, Qingdao, Shandong 266000, China.
Open life sciences
|December 28, 2023
概括
这项研究确定了老年心血管患者肺部感染的关键风险因素,并开发了一种预测模型,以帮助高风险个体早期预防和管理这些感染.
科学领域:
- 医学微生物学 医学微生物学
- 心脏病学 心脏病学
- 老年病的医生 老年病的医生
背景情况:
- 患有心血管疾病的老年患者容易感染肺部感染.
- 识别风险因素和开发预测工具对于早期干预至关重要.
研究的目的:
- 分析老年心血管患者的致病细菌和抗菌素敏感性.
- 为了确定肺部感染的独立风险因素.
- 建立一个临床风险预测模型,用于早期预防和管理.
主要方法:
- 对600名患者进行了后勤回归分析,分为受感染和未受感染的组.
- 使用统计措施开发和验证风险预测模型 (Hosmer-Lemeshow,AUC).
主要成果:
- 确定的危险因素:年龄较大,糖尿病,低蛋白血症,侵入性手术,高心脏功能等级,长时间住院 (≥10天).
- 预测模型表现出良好的区分能力 (AUC = 0.795) 具有63.40%的灵敏度和82.80%的特异性.
- 风险评分模型被验证用于识别高风险群体.
结论:
- 开发的风险评分模型对于识别高风险肺部感染的老年心血管患者是有效的.
- 这种工具可以支持早期预防和控制策略,有可能降低这一脆弱人群的感染率.
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