Predictors for the mortality of malignant tumor patients with invasive candidiasis
10.3969/j.issn.1000-8179.2017.22.291
- VernacularTitle:恶性肿瘤患者合并侵袭性念珠菌感染的预后因素分析
- Author:
LI DING
1
;
ZHANG QING
;
BAI CHANGSEN
;
ZHANG WENFANG
;
ZHENG SHAN
;
LI ZHENG
;
ZHANG PENG
Author Information
1. 天津医科大学肿瘤医院检验科
- Keywords:
Candida;
invasive infections;
malignant tumor;
prognosis;
risk factors
- From:
Chinese Journal of Clinical Oncology
2017;44(22):1130-1134
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the predictors for the mortality of patients with malignant tumor and invasive candidiasis in order to contribute to the strategies of prognosis improvement. Methods:This retrospective study includes patients with malignant tumor and invasive candidiasis who were hospitalized during 2013 to 2015. Their clinical characteristics, medication treatment, types of tumor, and mortality rate were collected and analyzed. Categorical data were analyzed by the Fisher's exact test. Factors with a P value<0.05 were included in the multivariate Logistic regression model to determine the independent risk factors. Results:A total of 125 patients with malignant tumor with invasive candidiasis were included. The major pathogen was still Candida albicans, which caused 42.4％of the infections, followed by Candida glabrate (21.6％), Candida parapsilosis (16.8％), and Candida tropicalis (10.4％). Abdominal candidia-sis (51.2％) was the most common type of infection. The crude mortality rate for invasive candidiasis was 26.4％. Azotemia, more than two indwelling catheters, delayed antifungal treatment, and combination with bacterial infections were the independent risk factors for the death of patients with malignant tumor and invasive candidiasis as compared with the survival group. Surgery within 30 days before diagnosing candidiasis was confirmed to be a protective factor for prognosis. Conclusion:Invasive candidiasis among patients with malignant tumor induced a high mortality rate. The data on the predictors for death may be valuable in developing strategies for prognosis improvement.
