重复养综合征危急病患者的风险预测模型:系统性审查
Tingting Dai1, Jing Ma2, Chunmiao Zhou3
1Department of Nursing, Jingzhou Central Hospital, Jingzhou, Hubei, China.
概括
重新养综合征 (RFS) 危急病患者的风险预测模型显示偏差的高风险. 未来的研究需要更大的样本大小和严格的设计,以可靠地识别RFS.
科学领域:
- 关键护理医学 关键护理医学
- 临床流行病学临床流行病学
- 生物统计学 生物统计学
背景情况:
- 重症患者的再综合征 (RFS) 发生率正在上升.
- 许多风险预测模型存在,但它们的临床有效性尚未得到证实.
研究的目的:
- 在重症患者中系统审查RFS风险预测模型.
主要方法:
- 搜索了多个数据库 (例如,PubMed,Embase) 到2025年3月.
- 使用预测模型偏差风险评估工具评估偏差风险和适用性.
主要成果:
- 包括来自16项研究的24个模型;最初检索了1472项研究.
- 在ROC曲线下的面积从0.626到0.980.
- 所有纳入的研究都显示出因数据限制和报告问题而存在高偏差风险.
结论:
- 在重症患者中现有的RFS风险预测模型具有高偏差风险.
- 未来的模型需要更大的样本大小,强大的设计和多中心验证,以提高可靠性.
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