Risk factors for pulmonary infection in patients with acute coronary syndrome and value of risk prediction model
OBJECTIVE To explore the risk factors for pulmonary infection in the patients with acute coronary syn-drome(ACS)and establish the risk prediction model.METHODS A total of 554 patients with ACS who were trea-ted in Hengshui People's Hospital from May 2021 to Mar 2023 were recruited as the research subjects and were divided into the infection group with 68 cases and the no infection group with 486 cases according to the status of complication with pulmonary infection.Multivariate logistic regression analysis was performed for the risk factors for the pulmonary infection,the risk prediction model for pulmonary infection was established,the sputum speci-mens were collected for culture of pathogens,and the etiological characteristics were observed.RESULTS The re-sult of multivariate logistic regression analysis showed that smoking history,complication with chronic obstructive pulmonary disease(COPD),hemoglobin less than 90 g/L,left ventricular ejection fraction(LVEF)score no more than 0.4,invasive procedure and cardiac function Killip ranging between grade Ⅲ and grade Ⅳ were the risk factors for the pulmonary infection in the patients(P＜0.05).The risk prediction model was established based on the screened risk factors.Receiver operating characteristic(ROC)curve analysis indicated that the area under curve(AUC)of the model was 0.855(95％CI:0.737-0.974)in prediction of the pulmonary infection,and the model showed high diagnostic efficiency.Totally 76 strains of pathogens were isolated from the sputum specimens of the 68 patients with infection,56(73.68％)of which were gram-negative bacteria,15(19.74％)were gram-positive bacteria,and 5(6.58％)were fungi.CONCLUSION There are a variety of risk factors for the pulmonary infection in the ACS patients.The risk prediction model has high predictive value.The gram-negative bacteria are dominant among the pathogens causing the infection.
NETL
NSTL
万方数据
