A nomogram based on lymphocyte percentage for predicting hospital mortality in exertional heatstroke patients: a 13-year retrospective study

作     者：Jiale Yang Fanghe Gong Xuezhi Shi Fanfan Wang Jing Qian Lulu Wan Yi Chen Huaisheng Chen Huasheng Tong Jiale Yang;Fanghe Gong;Xuezhi Shi;Fanfan Wang;Jing Qian;Lulu Wan;Yi Chen;Huaisheng Chen;Huasheng Tong

作者机构：Guangzhou University of Chinese MedicineGuangzhou 510006China Department of Intensive Care UnitGeneral Hospital of Southern Theatre Command of PLAGuangzhou 510010China Department of NeurosurgeryGeneral Hospital of Southern Theatre Command of PLAGuangzhou 510010China Department of Intensive Care UnitDongguan Binhaiwan Central HospitalDongguan 523900China Department of Critical Care MedicineShenzhen People's HospitalShenzhen 518020China 

出 版 物：《World Journal of Emergency Medicine》 (世界急诊医学杂志(英文))

年 卷 期：2023年第14卷第6期

页      面：434-441页

核心收录：

学科分类：1002[医学-临床医学] 10[医学] 

基　　金：supported by the Natural Science Foundation of Guangdong Province (2022A1515010353) Science and Technology Projects of Guangzhou (SL2024A03J00951) Military Medical Innovation Project (18CXZ032)。 

主　　题：Exertional heatstroke Lymphopenia Nomogram Prognosis 

摘      要：BACKGROUND: Exertional heatstroke(EHS) is a life-threatening disease without ideal prognostic markers for predicting hospital mortality.METHODS: This is a single-center retrospective study. Clinical data from EHS patients admitted to the Intensive Care Unit(ICU) of the General Hospital of Southern Theatre Command between January 1, 2008, and December 31, 2020, were recorded and analyzed. Univariate and multivariate logistic regression were used to identify the factors for mortality. The prediction model was developed with the prognostic markers, and a nomogram was established.RESULTS: The study ultimately enrolled 156 patients, and 15(9.6%) of patients died before discharge. The lymphocyte count(Lym) and percentage(Lym%) were significantly lower in nonsurvivors(P0.05). The univariate and multivariate logistic regression analyses indicated that Lym% at the third day of admission(Lym% D3)(OR=0.609, 95%CI: 0.454–0.816) and hematocrit(HCT)(OR=0.908, 95%CI: 0.834–0.988) were independent protective factors for hospital mortality. A nomogram incorporating Lym% D3 with HCT was developed and demonstrated good discrimination and calibration ability. The comparison between the prediction model and scoring systems revealed that the prediction model had the largest area under the curve(AUC)(0.948, 95%CI: 0.900–0.977), with 100.00% sensitivity and 83.69% specificity, and a greater clinical net benefit.CONCLUSION: Severe EHS patients had a higher risk of experiencing prolonged lymphopenia. A nomogram based on Lym% D3 and HCT was developed to facilitate early identification and timely treatment of patients with potentially unfavorable prognoses.