Analysis of clinical features and risk factors of heat stroke patients with infection
10.3760/cma.j.issn.1671-0282.2023.11.012
- VernacularTitle:热射病患者合并感染的临床特征及危险因素分析
- Author:
Lin ZHANG
1
;
Ying YANG
;
Jie SHENG
;
Dong LUO
;
Hui WANG
;
Xiaoyan MENG
;
Haihong ZHANG
;
Rong YAO
Author Information
1. 四川大学华西医院急诊科，成都 610041
- Keywords:
Heat stroke;
Infection;
Clinical features;
Risk factors;
Predictive model
- From:
Chinese Journal of Emergency Medicine
2023;32(11):1496-1500
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical features and risk factors of infection in patients with heat stroke (HS).Methods:The patients with HS who were admitted to the emergency departments of seven hospitals, including West China Hospital of Sichuan University, the Second Affiliated Hospital of Chengdu Medical College and so on, between July 01, 2020 and September 30, 2022 were retrospectively analyzed. The basic characteristics and laboratory test results of the patients were collected. The patients were divided into infected group and non-infected group according to the etiological results, and the differences in clinical characteristics between the different groups were compared. Multivariate logistic regression was used to screen variables, and the predictive model was established and ROC curve was performed to compare the predictive efficiency with SOFA score.Results:During the study period, a total of 183 patients with HS were included, and 156 patients were finally included for analysis according to the inclusion and exclusion criteria. Among them, 58 cases (37.2%) were in the infected group. The mortality of infected group was significantly higher than that of non-infected group (41.4% vs. 25.5%, P < 0.05). Compared with the patients in non-infected group, the infected gourp serum procalcitonin, direct bilirubin, alanine transaminase (ALT), creatinine, lactate dehydrogenase (LDH), creatine kinase isoenzymes, myoglobin, activated partial thromboplastin time (APTT) and respiratory support ratio at admission were significantly higher and albumin level was lower in infected group (all P < 0.05). Multivariate logistic regression analysis showed that myoglobin, ALT, APTT and respiratory support required at admission were independent risk factors for HS co-infection. A prediction model was constructed based on these four indicators, and the area under ROC curve of the prediction model was 0.846, which was better than SOFA score (0.732, P < 0.05). Conclusions:The prognosis of patients with heat stroke complicated with infection were obviously poor. Myoglobin, ALT, APTT and need for respiratory support at admission are risk factors for HS complicated with infection. The prediction model based on these four indicators is better than SOFA score for the early identification of the HS patients with infection.
