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预测晚期慢性病的住院和相关结果:系统性审查,外部验证和发展研究
Roemer J Janse1, Jet Milders1, Joris I Rotmans2
1Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Kidney medicine
|July 4, 2025
概括
预测晚期慢性病 (CKD) 患者的住院治疗是具有挑战性的. 目前的模型表现不佳,需要开发新的,更具体的预测工具,以更好地照顾患者.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 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:
- 在晚期慢性病 (CKD) 中,住院治疗是常见的.
- 住院,住院时间和再接收的预测模型对于患者管理和医疗保健规划有价值.
- 现有模型需要外部验证和潜在的新工具开发.
研究的目的:
- 审查和外部验证现有的医院住院预测模型,住院时间和晚期CKD患者的再接收.
- 如果当前的模型被证明是不够的,开发一个新的预测模型.
主要方法:
- 对患有CKD的成年人的预测模型进行系统的文献搜索.
- 使用PROBAST进行偏差风险评估.
- 对已识别的歧视 (C-统计) 和校准模型进行外部验证.
- 在血液透析患者的1年住院风险的细灰色模型的开发.
主要成果:
- 从8项研究中确定了45个模型,其中大部分质量低,偏差风险高.
- 由于报告不足和人口特异性预测因素,只有3种模型得到验证;这些模型显示校准和歧视不佳.
- 在现有数据和策略的情况下,开发一个合适的新模型是不可行的.
结论:
- 预测晚期CKD的住院治疗是很困难的,因为结果的异质性和有限的预测因素.
- 未来的模型应侧重于更具体的结果 (例如,心血管住院),并纳入患者报告的结果措施,以提高准确性.
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