Risk factors of multiple myeloma complicated with IFI and construction of nomogram prediction model
Objective To investigate the risk factors of multiple myeloma(MM)combined with invasive fungal infection(IFI),and to establish a prediction model based on this.Methods A retrospective analysis was carried out on the clinical data of 157 MM patients from February 2019 to June 2023.Independent risk factors for MM combined with IFI were identified through multiple logistic regression analysis,and a column chart prediction model was constructed based on this.Subsequently,the effectiveness of the model was analyzed and validated.Results Among 157 patients,61 cases were complicated with IFI,and incidence rate was 38.85%.Positive G test,decreased absolute value of monocytes and hs-CRP≥10 mg/L were independ-ent risk factors for MM and IFI(P<0.05).The area under the curve(AUC)of the constructed column chart prediction model was 0.755(95%confidence interval:0.699-0.851),indicating a higher predictive value than a single factor.Internal vali-dation and decision analysis through Bootstrap method indicated that the prediction model had good performance and high clini-cal application value.Conclusion The incidence of MM complicated with IFI is high.Predictive model constructed based on G-test,the absolute value of monocytes,and hs-CRP level has good discriminant validity and can serve as an important theoret-ical basis for early identification of IFI in MM patients.
multiple myeloma(MM)invasive fungal infection(IFI)nomographprediction model
万方数据
维普
