• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Can J Infect Dis Med Microbiol . Predictors of COVID-19 Infection: A Prevalence Study of Hospitalized Patients

tetano

Editor, Senior Moderator
Can J Infect Dis Med Microbiol


. 2021 Oct 13;2021:6213450.
doi: 10.1155/2021/6213450. eCollection 2021.
Predictors of COVID-19 Infection: A Prevalence Study of Hospitalized Patients


Huilan Tu[SUP] 1 [/SUP], Hong Zhao[SUP] 1 [/SUP], Junwei Su[SUP] 1 [/SUP], Wenrui Wu[SUP] 1 [/SUP], Kaijin Xu[SUP] 1 [/SUP], Jianhua Hu[SUP] 1 [/SUP], Xuan Zhang[SUP] 1 [/SUP], Meifang Yang[SUP] 1 [/SUP], Jifang Sheng[SUP] 1 [/SUP]



Affiliations

Abstract

Aim: To find the predictors of coronavirus disease 2019 (COVID-19) in hospitalized patients.
Methods: A prevalence study compared the characteristics of COVID-19 patients with non-COVID-19 patients from January 19, 2020, to February 18, 2020, during the COVID-19 outbreak. Laboratory test results and pulmonary chest imaging of confirmed COVID-19 and non-COVID-19 patients were collected by retrieving medical records in our center.
Results: 96 COVID-19 patients and 122 non-COVID-19 patients were enrolled in this study. COVID-19 patients were older (53 vs. 39; P < 0.001) and had higher body mass index (BMI) than non-COVID-19 group (24.21 ± 3.51 vs. 23.00 ± 3.27, P = 0.011); however, differences in gender were not observed between the two groups. Logistic regression analysis showed that exposure history (OR: 23.34, P < 0.001), rhinorrhea (odds radio (OR): 0.12, P = 0.006), alanine aminotransferase (ALT) (OR: 1.03, P = 0.049), lactate dehydrogenase (LDH) (OR: 1.01, P = 0.020), lymphocyte (OR: 0.27, P = 0.007), and bilateral involvement on chest CT imaging (OR: 23.01, P < 0.001) were independent risk factors for COVID-19. Moreover, bilateral involvement on chest CT imaging (AUC = 0.904, P < 0.001) had significantly higher AUC than others in predicting COVID-19.
Conclusions: Exposure history, elevated ALT and LDH, absence of rhinorrhea, lymphopenia, and bilateral involvement on chest CT imaging provide robust evidence for the diagnosis of COVID-19, especially in resource-limited conditions where nucleic acid detection is not readily available.
 
Back
Top Bottom