Literature DB >> 25140766

[Risk factors for invasive pulmonary fungal infection in children].

Fa-Guang Mu1, Hai-Lan He, Jing Li.   

Abstract

OBJECTIVE: To analyze the risk factors for invasive pulmonary fungal infection (IPFI) and to provide a theoretical basis for the early prevention and treatment of IPFI.
METHODS: A retrospective case-control study was conducted on the clinical data of children hospitalized in the pediatric intensive care unit between January 2012 and March 2013. These children consisted of 48 patients with a clinical diagnosis of IPFI (IPFI group) and 106 pneumonia patients without a clinical diagnosis of IPFI (non-IPFI group). The clinical date of the two groups were compared and analyzed. The main risk factors for the development of IPIF were identified by unconditional multivariate logistic regression analysis.
RESULTS: Compared with the non-IPIF group, the IPIF group had significantly lower mean age and serum albumin level (P<0.01), significantly longer mean length of hospital stay, duration of antibiotic use, and duration of corticosteroid use (P<0.01), and significantly higher rates of malnutrition, invasive mechanical ventilation, indwelling catheter use, oropharyngeal fungal infection, and diarrhea (P<0.05). Multivariate logistic regression analysis showed that invasive mechanical ventilation, diarrhea, long duration of corticosteroid use, long duration of antibiotic use, young age, and low serum albumin level were independent risk factors for the development of IPFI.
CONCLUSIONS: For the infants with suspected IPFI for whom pathogenic examination is difficult to perform, IPFI should be considered in cases of invasive mechanical ventilation, diarrhea, long-time uses of broad-spectrum antibiotics and corticosteroids and hypoalbuminemia, and empirical antifungal therapy should be performed as soon as possible.

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Year:  2014        PMID: 25140766

Source DB:  PubMed          Journal:  Zhongguo Dang Dai Er Ke Za Zhi        ISSN: 1008-8830


  2 in total

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Journal:  BMC Nephrol       Date:  2021-01-11       Impact factor: 2.388

2.  Analysis of factors of pulmonary fungal infection in mice in respiratory medicine department based on logistic regression analysis model and Progranulin.

Authors:  Jingya Wang; Quan Zu; Wei Wang
Journal:  Saudi J Biol Sci       Date:  2019-12-17       Impact factor: 4.219

  2 in total

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