SCI REP:重症监护室创伤患者发生急性肾损伤诊断预测模型的开发和验证!

2018-02-26 xing.T MedSci原创

尽管该模型对需要RRT也有较好的区分性能,在开发队列中最佳截止值的阳性预测值(PPV)也只有23%(13.7-42.7%)。然而,RRT和/或死亡替代终点的PPV增加到了41.2%(34.8-48.1%)突出死亡作为RRT的一个临床相关终点。

严重创伤合并的急性肾损伤(AKI)与死亡率和发病率增加有关。创伤性AKI具有特定的危险因素和可预测的时间发展过程,有助于开发诊断模型。近日,Scientific reports 杂志上发表了一篇研究文章,研究人员在一个单一的中心,进行了一项回顾性观察性研究开发了基于重症监护入院后数据的创伤后AKI风险预测模型。

研究人员使用了830名患者的数据开发了预测AKI的模型,并进一步在564例患者中进行了独立的验证。163/830例(19.6%)患者发生了AKI,其中,42例(5.1%)患者接受肾脏替代治疗(RRT)。

研究人员发现受试者首次血清肌酐水平、血磷水平、前24小时内输血单位数、年龄和Charlson评分可以区分需要RRT和创伤后AKI早期的患者。RRT的c统计量从好到优:开发队列为0.92(0.88-0.96),验证队列为0.91(0.86-0.97)。预测2-3期AKI的模型性能也不错,开发队列为0.81(0.75-0.88);验证队列为0.83(0.74-0.92)。该模型预测1-3期AKI的性能也中等,开发队列c统计量为0.77(0.72-0.81);验证队列为0.70(0.64-0.77)。

尽管该模型对需要RRT也有较好的区分性能,在开发队列中最佳截止值的阳性预测值(PPV)也只有23%(13.7-42.7%)。然而,RRT和/或死亡替代终点的PPV增加到了41.2%(34.8-48.1%)突出死亡作为RRT的一个临床相关终点。

原始出处:


Ryan W. Haines,et al. Acute Kidney Injury in Trauma Patients Admitted to Critical Care: Development and Validation of a Diagnostic Prediction Model.Scientific reports. 2018. https://www.nature.com/articles/s41598-018-21929-2

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    2018-02-28 bioon6
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    2018-02-26 有备才能无患

    严重创伤合并的急性肾损伤(AKI)与死亡率和发病率增加有关.创伤性AKI具有特定的危险因素和可预测的时间发展过程.有助于开发诊断模型.近日.Scientificreports杂志上发表了一篇研究文章.研究人员在一个单一的中心.进行了一项回顾性观察性研究开发了基于重症监护入院后数据的创伤后AKI风险预测模型.

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