Relationships between NEUT,ESR,and Gal-3 levels and clinical prognosis in patients with infective endocarditis
Objective To explore the relationships between neutrophil count(NEUT),erythrocyte sedimentation rate(ESR),and galectin-3(Gal-3)levels and clinical prognosis in patients with infective endocarditis(IE).Methods Eighty-eight patients with IE were selected from Shangluo Central Hospital from February 2021 to April 2023,including 49 males and 39 females,with an average age of 46.20 years old,54 cases of grade Ⅱ-Ⅲ and 34 cases of grade Ⅳ.They were followed up for one year.Based on the prognosis results,the patients were divided into a good prognosis group(54 cases)and a poor prognosis group(34 cases).Univariate analysis was used to analyze the patients'clinical data and laboratory indicators.Subsequently,multivariate logistic regression analysis was conducted to identify the risk factors for poor prognosis.The receiver operating characteristic curve(ROC)was used to evaluate the predictive capability of NEUT,ESR,and Gal-3 levels for the poor prognosis of IE patients.t test and x2 test were used.Results There were statistically significant differences in the cardiac function grade,Pitt score,NEUT level before treatment,and NEUT,ESR,and Gal-3 levels after 2 weeks of treatment between the poor prognosis group and the good prognosis group(all P＜0.05).Multivariate logistic regression analysis showed that cardiac function grade Ⅳ,Pitt score ≥2,and high NEUT,ESR,and Gal-3 levels after 2 weeks of treatment were independent risk factors for poor prognosis in IE patients(all P＜0.05).The areas under the curves(AUC)of NEUT,ESR,and Gal-3 levels after 2 weeks of treatment and their combination in predicting poor prognosis in IE patients were 0.912,0.949,0.905,and 0.985,respectively.Conclusions NEUT,ESR,and Gal-3 levels have significant clinical predictive value in IE patients.High levels of NEUT,ESR,and Gal-3 are closely related to poor prognosis in IE patients and can serve as independent risk factors for poor prognosis.These markers can provide more accurate risk assessment and decision support for clinical treatment.
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