Risk assessment of nosocomial infection in patients with multiple myeloma in the first hospitalization
10.3969/j.issn.1006-2483.2024.01.026
- VernacularTitle:多发性骨髓瘤患者首次住院院内感染的风险评估
- Author:
Qi RAO
1
;
Ting LUO
1
;
Dandan WANG
1
Author Information
1. Department of Hematology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan, China
- Publication Type:Journal Article
- Keywords:
Multiple myeloma;
First hospitalization;
Nosocomial infection;
Logistic regression analysis;
Prediction model
- From:
Journal of Public Health and Preventive Medicine
2024;35(1):113-115
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the risk of nosocomial infection in patients with multiple myeloma during their first hospitalization. Methods Totally 480 patients with multiple myeloma who were hospitalized for the first time in department of hematology of West China Hospital, Sichuan University from August 2021 to August 2022 were included, and the nosocomial infection during treatment was statistically analyzed. The patients were divided into infected group and uninfected group. The independent influencing factors of nosocomial infection were analyzed and a prediction model was established. The reliability of the prediction model was analyzed by receiver operating characteristic curve (ROC). Results The incidence rate of nosocomial infection was 31.2% among 480 patients hospitalized for the first time. There were statistically significant differences in age, ISS staging, controlling nutritional status (CONUT) score, agranulocytosis, hemoglobin, and albumin between the infected group and the uninfected group (P<0.05). Logistic multivariate regression analysis showed that age, ISS staging, CONUT score, agranulocytosis, hemoglobin level, and albumin level were all independent correlated factors of nosocomial infection in patients with multiple myeloma hospitalized for the first time (P<0.05). The area under the ROC curve (AUC), sensitivity and specificity of multivariate logistic regression prediction model were 0.88 (95%CI: 0.840-0.920), 85.00% and 76.36%, respectively. Conclusion The incidence rate of nosocomial infection is high among patients with multiple myeloma in the first hospitalization. The prediction model established according to independent correlated factors of nosocomial infection has high predictive value on the occurrence of nosocomial infection.
