对预测补偿性肝硬化患者脱补偿的生物标志物的系统审查和元分析
Kohilan Gananandan1, Rabiah Singh2, Gautam Mehta2
1UCL Institute for Liver & Digestive Health, London, UK k.gananandan1@nhs.net.
BMJ open gastroenterology
|August 25, 2024
概括
预测肝硬化不补偿是非常重要的. 国际正常化比率升高和白蛋白降低是关键生物标志物,但研究需要标准化的方法来获得可靠的数据来预测肝病进展.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 临床生物标志物 临床生物标志物
- 预测研究 预测研究
背景情况:
- 肝硬化失补偿显著恶化预后,使中位生存时间从超过10年减少到2年.
- 在补偿性肝硬化中准确预测脱补偿仍然是一个未满足的临床需求.
- 这项研究系统地审查并对预测脱补偿的生物标志物进行了元分析.
研究的目的:
- 识别和评估生物标志物来预测补偿性肝硬化患者的脱补偿.
- 通过元分析综合现有研究的证据.
- 为未来预测分数系统的开发提供信息.
主要方法:
- 对PubMed和EMBASE数据库的系统审查和元分析 (开始至2024年2月).
- 遵守系统审查和元分析 (PRISMA) 准则的首选报告项目.
- 使用预后质量研究框架和随机效应元分析进行偏差风险评估.
主要成果:
- 63项研究 (31,438名患者) 检查了49个生物标志物;40%是前性的.
- 血小板,末期肝病模型 (MELD) 评分和白蛋白是最受研究的.
- 国际正常化比率 (INR) 升高和白蛋白降低是最强的预测因素,尽管统计学异质性很高 (I2=96.3%).
结论:
- 像INR和白蛋白这样的关键生物标志物显示了将其纳入未来脱补偿预测评分系统的潜力.
- 在研究中显著的异质性和可变的偏差风险需要谨慎的解释.
- 未来的研究需要严格的,标准化的方法来获得在肝硬化中可靠和可比的预后生物标志物数据.
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