Suppr超能文献

开发实用的急性有机磷中毒严重程度预测评分系统。

Development of a practical prediction scoring system for severe acute organophosphate poisoning.

机构信息

Department of Emergency, the Fist Hospital of Jilin University, Changchun, China.

Department of Geriatrics, the Fist Hospital of Jilin University, Changchun, China.

出版信息

J Appl Toxicol. 2020 Jul;40(7):889-896. doi: 10.1002/jat.3950. Epub 2020 Feb 6.

Abstract

Acute organophosphorus poisoning (AOPP) is a serious public health issue, especially in the rural areas. This study was designed to establish a scoring system to assess the risk of cases with severe AOPP. A retrospective cohort study was conducted at two independent hospitals. The derivation cohort included 444 patients with AOPP and the validation cohort included 274 patients. A risk score for patients with severe AOPP was developed. The rates of severe AOPP cases were 20.7% and 20.1% in the derivation and validation cohorts, respectively. A scoring system for severe AOPP risk was developed that included: (1) age >50 years, (2) white blood cell count of >15 × 10 /L, (3) plasma cholinesterase of <360 U/L, (4) plasma albumin of <35 g/L, (5) blood pH <7.3, and (6) lactic acid >3.0 mmol/L. The predicted score in severe cases of AOPP had good accuracy in both the derivation (area under the receiver operating characteristic curve [AUC] 0.88, 95% confidence interval [CI], 0.85-0.92) and validation cohorts (AUC 0.83, 95% CI, 0.77-0.90). A practical bedside prediction scoring system was developed for patients with severe AOPP. The routine use of this scoring system could rapidly assist in identifying patients at higher risk who require more intensive care or transfer to a larger better-equipped hospital.

摘要

急性有机磷中毒(AOPP)是一个严重的公共卫生问题,特别是在农村地区。本研究旨在建立一种评分系统,以评估重度 AOPP 病例的风险。在两家独立医院进行了回顾性队列研究。推导队列包括 444 例 AOPP 患者,验证队列包括 274 例患者。建立了用于评估重度 AOPP 风险的评分系统。推导队列和验证队列中重度 AOPP 病例的发生率分别为 20.7%和 20.1%。建立了一种用于评估重度 AOPP 风险的评分系统,包括:(1)年龄>50 岁,(2)白细胞计数>15×10 /L,(3)血浆胆碱酯酶<360 U/L,(4)血浆白蛋白<35 g/L,(5)血液 pH<7.3,(6)乳酸>3.0mmol/L。在推导队列(AUC 0.88,95%置信区间[CI]:0.85-0.92)和验证队列(AUC 0.83,95%CI:0.77-0.90)中,重度 AOPP 病例的预测评分均具有良好的准确性。建立了一种实用的床边预测评分系统,用于评估重度 AOPP 患者。常规使用该评分系统可以快速识别高危患者,需要加强护理或转至更大、设备更好的医院。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验