不同预测模型的比较持续脏置换治疗的意外中断:对定性分析的系统审查
Yanting Zhang1, Zhaoyang Li2, Jin Li2
1Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Clinical Research Center of Hubei Critical Care Medicine, Wuhan, China, 1208341267@qq.com.
Blood purification
|November 2, 2023
概括
本系统性审查评估了持续置换治疗 (CRRT) 计划外中断的预测模型. 调查结果强调需要改进风险评估方法,以提高CRRT预测模型的准确性,并为预防策略提供信息.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 关键护理医学 关键护理医学
- 生物统计学 生物统计学
背景情况:
- 持续置换治疗 (CRRT) 的意外中断带来了重大的临床挑战.
- 准确的预测模型对于及时干预和改善患者结果至关重要.
研究的目的:
- 系统地搜索和评估现有的预测模型,用于计划外的CRRT中断.
- 为开发更高质量的CRRT预测模型提供参考.
主要方法:
- 在多个数据库 (PubMed,Embase,CNKI等) 中进行全面的文献搜索. 在中文和英语中,直至2023年6月.
- 由两名研究人员进行的独立选和数据提取.
- 使用预测模型的标准化工具进行偏差风险和适用性评估.
主要成果:
- 九项研究符合纳入标准.
- 预测模型的接收器运行特征曲线 (AUC) 下的面积在0.679到0.997.
- 七项研究表明适用性良好,而两项研究显示适用性差.
结论:
- 未来CRRT预测模型的开发应该优先考虑各种风险评估方法的有效性.
- 提高风险预测的准确性对于有效的预防策略至关重要.
- 这一审查为制定针对CRRT中断的有针对性的预防策略提供了基础.
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