联合血常规和尿实验室指标是急性百草枯中毒患者预后的有效预测指标:一项回顾性研究。

IF 3.3
Yiwei Su, Guangzhen Li, Wenxin Fang, Shihao Tang, Yuquan Chen, Cheng Zhang, Yimin Liu, Zhi Wang
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引用次数: 0

摘要

简介:急性百草枯中毒与高死亡率相关,需要实用的预后工具来改善临床结果。本研究旨在建立血、尿常规指标的综合指标,预测预后,指导个性化治疗策略。方法:将2009年1月至2024年6月住院的急性百草枯中毒患者的资料分为训练组和验证组。采用Ridge回归分析确定关键预后因素,并采用受试者工作特征曲线分析评估预测效果。主成分分析用于分配预测因子的相对权重并构建复合指数,随后在独立队列中进行验证。结果:岭回归和受试者工作特征曲线分析确定百草枯摄入量、绝对中性粒细胞计数、尿蛋白浓度、血清碳酸氢盐浓度、血清肌酐浓度和血糖浓度是独立的预后因素。综合指标在受试者工作特征曲线下的面积为0.921,最佳诊断阈值为4.35。在训练集(n = 268)和验证集(n = 31)中,死亡综合指数的预测效果基本一致。当评分≥5分时,预测死亡率的概率为94%。讨论:该研究强调了常规实验室参数在构建简单准确的预后工具中的作用。尽管它的优势,包括高预测准确性,局限性,如单中心设计和潜在的偏差应该注意。建议进行多中心前瞻性验证,以推广研究结果并改进早期干预策略。结论:综合使用百草枯摄食量、中性粒细胞绝对计数、尿蛋白浓度、血清碳酸氢盐浓度、血清肌酐浓度、血糖浓度等综合指标,为百草枯中毒病例的早期预后预测和个性化处理提供了可靠的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined routine blood and urine laboratory indicators are efficient predictors of prognosis in patients with acute paraquat poisoning: a retrospective study.

Introduction: Acute paraquat poisoning is associated with high mortality, necessitating practical prognostic tools to improve clinical outcomes. This study aimed to develop a composite index using routine blood and urine parameters to predict prognosis and guide personalized treatment strategies.

Methods: Data from patients with acute paraquat poisoning hospitalized between January 2009 and June 2024 were divided into training and validation cohorts. Ridge regression analysis was conducted to identify key prognostic factors, and receiver operating characteristic curve analysis was performed to assess predictive performance. Principal component analysis was used to assign relative weights to predictors and construct a composite index, which was subsequently validated in an independent cohort.

Results: Ridge regression and receiver operating characteristic curve analyses identified the amount of paraquat ingested, absolute neutrophil count, urine protein concentration, serum bicarbonate concentration, serum creatinine concentration, and blood glucose concentration as independent prognostic factors. The composite index demonstrated an area under the receiver operating characteristic curve of 0.921, with an optimal diagnostic threshold of 4.35. The predictive efficacy of the composite index for death was largely consistent across both the training (n = 268) and validation sets (n = 31). When the score was ≥5, the probability of predicting mortality was 94%.

Discussion: The study highlights the utility of routine laboratory parameters in constructing a simple and accurate prognostic tool. Despite its strengths, including high predictive accuracy, limitations such as single-center design and potential biases should be noted. Multicenter prospective validation is recommended to generalize findings and improve early intervention strategies.

Conclusion: The combined use of amount of paraquat ingested, absolute neutrophil count, urine protein concentration, serum bicarbonate concentration, serum creatinine concentration, and blood glucose concentration in a composite index provides a reliable tool for early prognosis prediction and personalized management in paraquat poisoning cases.

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