坦塔大学风险模型预测ICU急性药物中毒患者临床结局的外部验证。

IF 3.3
Guangyao Yang, Qifang Shi, Ying Xu
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引用次数: 0

摘要

简介:坦塔大学风险模型已被外部验证,用于预测急性中毒患者入住重症监护病房,但其对重症监护病房结果的表现尚未得到评估。方法:从重症监护医学信息集市IV数据库中识别重症监护病房收治的急性药物中毒成年患者。使用受试者工作特征曲线下的面积、敏感性和特异性来评估模型在延长重症监护病房住院时间和30天死亡率方面的表现。结果:1329例患者重症监护住院时间中位数为1.70天,30天死亡率为6.5%。住院2天、4天和7天及以上的患者分别占38.8%、15.5%和6.7%。该模型在预测住院时间为7天或更长(曲线下面积= 0.837,95% CI: 0.790-0.884)和预测30天死亡率(曲线下面积= 0.709,95% CI: 0.645-0.774)方面表现最佳。结论:坦塔大学风险模型预测重症监护病房急性药物中毒的结果,特别是延长住院7天或更长时间,支持其作为实用的临床决策工具的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External validation of the Tanta University Risk Model for predicting clinical outcomes in ICU patients with acute drug poisoning.

Introduction: The Tanta University Risk Model has been externally validated for predicting intensive care unit admission in patients with acute poisoning, but its performance for intensive care unit outcomes has not been evaluated.

Methods: Adult patients with acute drug poisoning admitted to the intensive care unit were identified from the Medical Information Mart for Intensive Care IV database. Model performance for prolonged intensive care unit stay and 30 day mortality was evaluated using area under the receiver operating characteristic curve, sensitivity, and specificity.

Results: Among 1,329 patients, the median intensive care unit stay was 1.70 days, and the 30 day mortality was 6.5%. Stays of 2 days, 4 days, and 7 days or longer occurred in 38.8%, 15.5%, and 6.7% of patients, respectively. The model performed best for predicting stays of 7 days or longer (area under the curve = 0.837, 95% CI: 0.790-0.884) and moderately for 30 day mortality (area under the curve = 0.709, 95% CI: 0.645-0.774).

Conclusion: The Tanta University Risk Model predicts intensive care unit outcomes in acute drug poisoning, particularly prolonged stays of 7 days or longer, supporting its use as a practical clinical decision tool.

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