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Fungal infection-related conditions and outcomes in severe COVID-19: a nationwide case-control study

Authors :
Katsuya Maeshima
Ryo Yamamoto
Kazuki Matsumura
Daiki Kaito
Koichiro Homma
Kazuma Yamakawa
Takashi Tagami
Mineji Hayakawa
Takayuki Ogura
Atsushi Hirayama
Hideo Yasunaga
Junichi Sasaki
the J-RECOVER study group
Source :
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Fungal infections are significant complications of severe coronavirus disease 2019 (COVID-19). Although various risk factors for poor outcomes in patients with COVID-19 have been identified, clinical and treatment factors associated with fungal infections in patients with severe COVID-19 remain unclear. This study aimed to elucidate clinical factors associated with fungal infections during severe COVID-19 treatment. Methods This was a post hoc analysis of the J-RECOVER study, a multicenter retrospective observational study involving patients with COVID-19 who required admission at 66 hospitals between January and September 2020. Inclusion criteria were ages ≥ 18 years, COVID-19 diagnosis with reverse-transcription polymerase chain reaction, and treatment with mechanical ventilation (MV). Patients who received antifungal drugs before MV were excluded. Potential predictors were identified through univariate analysis of patient and treatment characteristics between patients with- and those without fungal infection, which was defined as antifungal agent use for ≥ 5 days. To account for facility-specific data clustering, generalized estimating equations (GEE) were employed as adjusted analyses to calculate the relative risks of potentially associated factors. Two sensitivity analyses were performed with modified definitions for the two groups: patients who received antifungal drugs for ≤ 4 days were excluded, and fungal infection was re-defined as antifungal drug use for ≥ 14 days. Results Among 4,915 patients in the J-RECOVER study, 559 adults with COVID-19 who required MV were included. Fungal infections occurred in 57 (10.2%) patients. Univariate analyses identified age, age ≥ 65 years, D-dimer level, remdesivir use, steroid use, and duration of steroid therapy as potential predictors of fungal infections. Multivariate analysis using GEE on these six factors revealed that only the duration of steroid use was significantly associated with an increased risk of fungal infection (odds ratio [OR] for a day increase: 1.01; 95% confidence interval [CI]: 1.00–1.01; p

Details

Language :
English
ISSN :
14712334
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.6f645916e35d496995923853048291ec
Document Type :
article
Full Text :
https://doi.org/10.1186/s12879-024-10317-z