During the prevention and control of coronavirus disease 2019, West China Hospital of Sichuan University urgently set up 4 medical tents to conduct centralized screening of fever patients, effectively avoiding cross-infection, and at the same time alleviating the pressure on the Department of Emergency Medicine and improving the efficiency of medical treatment for patients with fever. Later, in order to actively respond to China’s severe acute respiratory syndrome coronavirus 2 nucleic acid detection policy, 5 tents were adjusted to carry out the severe acute respiratory syndrome coronavirus 2 nucleic acid detection. This article introduces the function setting, personnel arrangement and protective measures of medical tents in West China Hospital of Sichuan University during the prevention and control of coronavirus disease 2019. It aims to share the experience of urgently setting up medical tents in the prevention and control of coronavirus disease 2019, with a view to provide a reference for the construction of medical tents in other medical institutions.
Objective To develop a novel prediction model based on cerebrospinal fluid (CSF) lactate for early identification of high-risk central nervous system (CNS) infection patients in the emergency setting. Methods Patients diagnosed with CNS infections admitted to the Department of Emergency Medicine of West China Hospital, Sichuan University between January 1, 2020 and December 31, 2023 were retrospectively selected. Patients were classified into a survival group and a death group according to their 28-day survival status, and clinical characteristics were compared between groups. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of 28-day mortality, which were subsequently used to construct a nomogram. Results A total of 173 patients were included, comprising 135 in the survival group and 38 in the death group. Multivariate analysis identified the Acute Physiology and Chronic Health Evaluation Ⅳ (APACHE Ⅳ) score [odds ratio (OR)=1.027, 95% confidence interval (CI) (1.002, 1.055), P=0.034], CSF lactate [OR=1.147, 95%CI (1.025, 1.286), P=0.018], and interleukin-6 [OR=1.002, 95%CI (1.001, 1.004), P=0.002] as independent predictors of 28-day mortality. The integrated model combining APACHE Ⅳ score, CSF lactate, and interleukin-6, demonstrated superior predictive performance compared with the APACHE Ⅳ score alone (P=0.020), and showed good calibration (Hosmer-Lemeshow P=0.50). Conclusions This tool may provide a useful instrument for emergency physicians to assess the 28-day mortality risk in patients with CNS infections, potentially facilitating early and targeted interventions for high-risk individuals. However, as the findings of this study are derived from a single-center retrospective dataset, the clinical applicability of this model requires further external validation through large-scale, prospective, multicenter studies to evaluate its generalizability.
