欢迎访问《中国临床药理学与治疗学》杂志官方网站,今天是

中国临床药理学与治疗学 ›› 2026, Vol. 31 ›› Issue (4): 460-466.doi: 10.12092/j.issn.1009-2501.2026.04.004

• 临床药理学 • 上一篇    下一篇

皖南地区急性有机磷农药中毒患者预后预测的Nomogram模型研究

俞家旺1(), 李国梅1, 黄昌保2, 唐宁1, 鲁卫华3, 周锋1,*()   

  1. 1. 皖南医科大学第一附属医院(弋矶山医院)EICU,芜湖 241001,安徽
    2. 皖南医科大学第一附属医院(弋矶山医院)急诊内科,芜湖 241001,安徽
    3. 皖南医科大学第一附属医院(弋矶山医院)ICU,芜湖 241001,安徽
  • 收稿日期:2025-07-05 修回日期:2025-10-24 出版日期:2026-04-26 发布日期:2026-04-30
  • 通讯作者: 周锋 E-mail:20201225@wnmc.edu.cn;251959931@qq.com
  • 作者简介:俞家旺,男,医学博士,主治医师,研究方向:急危重症医学。E-mail:20201225@wnmc.edu.cn
  • 基金资助:
    安徽省教育厅自然科学重大项目(2022AH040168);安徽省临床医学研究与转化项目(202304295107020006)

Study on a nomogram model for predicting the prognosis of patients with acute organophosphorus pesticide poisoning in Southern Anhui

Jiawang YU1(), Guomei LI1, Changbao HUANG2, Ning TANG1, Weihua LU3, Feng ZHOU1,*()   

  1. 1. Department of Emergency Intensive Care Unit (EICU), The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital), Wuhu 241001, Anhui, China
    2. Department of Emergency Internal Medicine, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital), Wuhu 241001, Anhui, China
    3. Department of Intensive Care Unit (ICU), The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital), Wuhu 241001, Anhui, China
  • Received:2025-07-05 Revised:2025-10-24 Online:2026-04-26 Published:2026-04-30
  • Contact: Feng ZHOU E-mail:20201225@wnmc.edu.cn;251959931@qq.com

摘要:

目的: 建立一个能够预测急性有机磷农药中毒患者预后模型,以期更准确地预测患者的预后和死亡风险。方法: 纳入2022年1月至2024年12月在皖南医科大学第一附属医院(弋矶山医院)接受治疗的75名有机磷中毒患者。使用单因素Cox分析,以及t检验/卡方检验确定影响患者预后的特征(P<0.05),然后使用LASSO Cox分析构建预后预测评分(Score),并进行验证。然后,再将Score和具有统计学意义的特征建立Nomogram模型。结果: 通过单因素Cox分析,以及t检验/卡方检验和LASSO Cox分析,建立了预后预测评分:Score= 0.0752×年龄(Age)+0.0120×肌酐(CRE)?0.0003×胆碱酯酶(CHE),其在有机磷农药中毒患者中的AUC值为0.917。进一步构建预测患者预后的Nomogram模型,其AUC值为0.924,C-index值为0.886,显示出良好的区分度和校准性能。结论: 考虑到急性有机磷农药中毒后患者的预后差异较大,建立和验证高性能Nomogram模型可为患者提供个体化的预后预测和风险评估,并进一步指导临床治疗决策。

关键词: 急性有机磷农药中毒, Nomogram模型, 预后, 预测

Abstract:

AIM: To establish a model capable of predicting the prognosis of patients with acute organophosphorus pesticide poisoning to more accurately forecast their prognosis and risk of mortality. METHODS: A total of 75 patients with organophosphorus poisoning who received treatment at the First Affiliated Hospital of Wannan Medical University (Yijishan Hospital) from January 2022 to December 2024 were included in the study. Single-factor Cox analysis and t test/Chi-square test were used to identify characteristics influencing patient prognosis (P<0.05), followed by LASSO Cox analysis to construct a prognosis prediction score (Score), which was validated. The Score and statistically significant characteristics were then used to establish a nomogram model. RESULTS: Through univariate Cox analysis, t test/Chi-square test and LASSO Cox analysis, a prognostic prediction score was established: Score = 0.0752×age (Age) + 0.0120×creatinine (CRE) ? 0.0003×cholinesterase (CHE). The AUC of the Score for organophosphorus pesticide poisoning patients was 0.917. A Nomogram model was further constructed to predict patient prognosis, with an AUC of 0.924 and a C-index of 0.886, demonstrating good discriminatory and calibration performance. CONCLUSION: Considering the significant variability in prognosis among patients with acute organophosphorus pesticide poisoning, establishing and validating a high-performance Nomogram model can provide individualised prognosis prediction and risk assessment for patients, and further guide clinical treatment decisions.

Key words: acute organophosphorus pesticide poisoning, nomogram model, prognosis, prediction

中图分类号: