患有广泛抗药性Acinetobacter baumannii的医院感染的风险因素和预测模型
Jingchao Shi1, Xiaoting Mao1,2, Jianghao Cheng3
1Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, Zhejiang, China.
一个预测模型确定了广泛耐药的Acinetobacter baumannii (XDRAB) 感染的8个关键风险因素,包括ICU停留,低蛋白血症和特定药物使用. 该模型有助于在医院环境中早期检测和管理XDRAB.
科学领域:
- 传染性疾病 传染性疾病
- 临床微生物学 临床微生物学
- 医疗信息学 医疗信息学
背景情况:
- 广泛耐药的宝曼尼菌 (XDRAB) 是医院获得的关键病原体,特别是在ICU.
- XDRAB构成重大威胁,导致严重的感染,如呼吸器相关的肺炎 (VAP) 和血液感染 (BSI).
研究的目的:
- 开发和验证用于识别XDRAB感染高风险患者的预测模型.
- 确定在医院环境中与XDRAB感染相关的独立风险因素.
主要方法:
- 559名XDRAB感染患者的回顾性分析.
- 使用拉索和后勤回归来进行变量选择和模型构建.
- 在内部和外部使用C指数,ROC,DCA和CIC验证了模型.
主要成果:
- 确定了8个独立的风险因素:ICU停留时间,低蛋白血,葡萄糖皮质激素使用,尿道导管,机械通风,糖尿病,卡巴胺使用和β-乳糖酶抑制剂使用.
- 预测模型表现出高准确度和稳定性,C指数为0.932 (训练) 和0.929 (测试).
- 该模型通过Hosmer-Lemeshow,DCA和CIC分析显示了良好的校准和临床实用性.
结论:
- 建立了一个可靠的XDRAB感染风险预测模型.
- 鉴定的风险因素为临床风险分层和有针对性的干预提供了宝贵的见解.
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