Construction and Application Value of Risk Prediction Model for Secondary Fungal Infection in Patients with Interstitial Pneumonia After Glucocorticoid Therapy
Objective To analyze the risk factors of secondary fungal infection in patients with interstitial pneumonia after glucocorticoid therapy and establish a risk prediction model.Methods The clinical data of 102 patients with interstitial pneumonia who received glucocorticoid therapy in the Third People's Hospital of Henan Province from January 2019 to May 2023 were analyzed retrospectively.According to the presence or absence of secondary fungal infection,the patients were divided into infected group(32 cases)and uninfected group(70 cases).The clinical data of the two groups were compared,multivariate logistic regression was used to analyze the risk factors of secondary fungal infection in patients with interstitial pneumonia after glucocorticoid treatment,the risk prediction model of secondary fungal infection was established,and the receiver operating characteristic(ROC)curve was plotted to evaluate the prediction effect of the model.Results Univariate analysis showed that there were significant differences in serum albumin,invasive procedure and diabetes mellitus between the two groups(P＜0.05).Logistic multivariate regression analysis showed that serum albumin ≤30 g·L-1,invasive operation and diabetes mellitus were independent risk factors for secondary fungal infection in patients with interstitial pneumonia(P＜0.05).The sensitivity,specificity of serum albumin,invasive operation and diabetes mellitus in predicting secondary fungal infection in patients with interstitial pneumonia were 63.54％,91.27％,and the area under the curve was 0.841.Conclusion Serum albumin level ≤30 g·L-1,invasive procedures and diabetes are independent risk factors for secondary fungal infection in patients with interstitial pneumonia after glucocorticoid therapy.The prediction model based on the above factors is more effective in predicting fungal infection,thereby providing an objective basis for clinical prevention and control of fungal infection.
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