Risk factors for nosocomial infection in patients with depression based on nomogram predic-tion model
Aim To analyze the risk factors for nosocomial infection in patients with depression using a nomogram prediction model.Methods The clinical data of 305 depressive inpatients were collected.Multivariate Logistic regression analysis was used to identify risk factors for nosocomial infection in patients with depression.A nomogram model was established,and validation and performance evaluation of the predictive model were conducted.Results The nosocomial infection rate of inpatients with de-pression was 8.20％.The proportion of patients with age＞60 years,severe depression,complicated with diabetes,number of using antidepressants ≥2,invasive procedures and at risk of malnutrition in the infection group was higher than that in the non-infection group,with longer hospital staying time as well as lower hemoglobin level(P＜0.05)in infection group compared with non-infection group.Logistic analysis showed that age＞60 years,hospital staying,number of use antidepressants≥2,invasive procedures,severe depression,and malnutrition risk were independent risk factors for nosocomial infection(P＜0.05).The correction curve of nosoco-mial infection predicted by the nomogram model was close to the ideal curve(P＞0.05).The area under ROC curve predicted by the model was 0.850(P＜0.05).Conclusion Age,length of hospital staying,types of antidepressants,invasive procedures,severe depression,and risk of malnutrition are all independent risk factors for nosocomial infection in patients with depression.The estab-lished nomogram model can intuitively assess the risk of nosocomial infection.
万方数据
维普
