Risk factors analysis and prediction model construction of acute kidney injury in patients with heat stroke
Objective To explore the clinical characteristics and risk factors of acute kidney injury(AKI)in pa-tients with heat stroke(HS),and to further build a risk prediction model.Methods HS patients admitted to the emer-gency departments of 7 hospitals including West China Hospital of Sichuan University,the Second Affiliated Hospital of Chengdu Medical College,and Mianyang Central Hospital from July 1,2022 to September 30,2022 were selected.Pa-tients with AKI were divided into AKI group and non-AKI group.The general conditions,symptoms,signs,and labora-tory tests of the two groups were compared.Multivariate logistic regression analysis screened out independent risk factors for AKI in HS patients,and further established AKI Risk Prediction Model.Results 160 HS patients were included,in-cluding 70 cases in the AKI group and 90 cases in the non-AKI group,and the incidence rate of AKI was 44％.Compared with the non-AKI group,the AKI group had a higher proportion of patients with rhabdomyolysis,DIC,and higher mor-tality.Multivariate logistic regression analysis showed that heart rate,systolic blood pressure,myoglobin,and platelet count at admission were independent risk factors for AKI in HS patients.A prediction model was constructed based on the above indicators,and the area under the receiver operating curve(AUROC)was 0.848(95％CI:0.789～0.907),higher than the Sequential Organ Failure Assessment(SOFA)score(0.79,95％CI:0.718～0.861,P＜0.05).Conclu-sion The incidence of AKI in this group of HS patients was 44％.Heart rate,systolic blood pressure,myoglobin and platelet count at the time of consultation are independent risk factors for AKI in HS patients.The model constructed based on the above indicators can be used to assess the risk of AKI in HS patients.
万方数据
维普
