Clinical characteristics and predictors of mortality in young adults with severe COVID-19: a retrospective observational study.

Abstract

BACKGROUND AND OBJECTIVE:

Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.

METHODS:

A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.

RESULTS:

In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.

CONCLUSION:

Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

• Authors: Yanjiao Lu, Zhenli Huang, Meijia Wang, Kun Tang, Shanshan Wang, Pengfei Gao, Jungang Xie, Tao Wang, Jianping Zhao
• Journal: Annals of clinical microbiology and antimicrobials (Ann Clin Microbiol Antimicrob) Vol. 20 Issue 1 Pg. 3 (Jan 06 2021) ISSN: 1476-0711 [Electronic] England
• PMID: 33407543 (Publication Type: Journal Article, Observational Study)

Topics

• COVID-19 (mortality, physiopathology, therapy)
• China (epidemiology)
• Cohort Studies
• Female
• Humans
• Incidence
• Logistic Models
• Male
• Middle Aged
• Pandemics
• Regression Analysis
• Retrospective Studies
• Risk Factors
• SARS-CoV-2 (isolation & purification)
• Treatment Outcome
• Young Adult