Prevalence and Clinical Impact of Coinfection in Patients with Coronavirus Disease 2019 in Korea.
Seri JeongNuri LeeYeeun ParkJaehong KimKibum JeonMin-Jeong ParkWonkeun SongPublished in: Viruses (2022)
Coinfection rates with other pathogens in coronavirus disease 2019 (COVID-19) varied during the pandemic. We assessed the latest prevalence of coinfection with viruses, bacteria, and fungi in COVID-19 patients for more than one year and its impact on mortality. A total of 436 samples were collected between August 2020 and October 2021. Multiplex real-time PCR, culture, and antimicrobial susceptibility testing were performed to detect pathogens. The coinfection rate of respiratory viruses in COVID-19 patients was 1.4%. Meanwhile, the rates of bacteria and fungi were 52.6% and 10.5% in hospitalized COVID-19 patients, respectively. Respiratory syncytial virus, rhinovirus, Acinetobacter baumannii , Escherichia coli , Pseudomonas aeruginosa , and Candida albicans were the most commonly detected pathogens. Ninety percent of isolated A. baumannii was non-susceptible to carbapenem. Based on a multivariate analysis, coinfection (odds ratio [OR] = 6.095), older age (OR = 1.089), and elevated lactate dehydrogenase (OR = 1.006) were risk factors for mortality as a critical outcome. In particular, coinfection with bacteria (OR = 11.250), resistant pathogens (OR = 11.667), and infection with multiple pathogens (OR = 10.667) were significantly related to death. Screening and monitoring of coinfection in COVID-19 patients, especially for hospitalized patients during the pandemic, are beneficial for better management and survival.
Keyphrases
- coronavirus disease
- sars cov
- acinetobacter baumannii
- gram negative
- multidrug resistant
- pseudomonas aeruginosa
- candida albicans
- respiratory syndrome coronavirus
- biofilm formation
- escherichia coli
- risk factors
- real time pcr
- drug resistant
- antimicrobial resistance
- respiratory syncytial virus
- cystic fibrosis
- cardiovascular events
- staphylococcus aureus
- physical activity
- coronary artery disease
- high throughput
- single cell
- drug induced