Hospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

04/12/2021
by   Tommy Nyberg, et al.
0

Objective: To evaluate the relationship between coronavirus disease 2019 (COVID-19) diagnosis with SARS-CoV-2 variant B.1.1.7 (also known as Variant of Concern 202012/01) and the risk of hospitalisation compared to diagnosis with wildtype SARS-CoV-2 variants. Design: Retrospective cohort, analysed using stratified Cox regression. Setting: Community-based SARS-CoV-2 testing in England, individually linked with hospitalisation data. Participants: 839,278 laboratory-confirmed COVID-19 patients, of whom 36,233 had been hospitalised within 14 days, tested between 23rd November 2020 and 31st January 2021 and analysed at a laboratory with an available TaqPath assay that enables assessment of S-gene target failure (SGTF). SGTF is a proxy test for the B.1.1.7 variant. Patient data were stratified by age, sex, ethnicity, deprivation, region of residence, and date of positive test. Main outcome measures: Hospitalisation between 1 and 14 days after the first positive SARS-CoV-2 test. Results: 27,710 of 592,409 SGTF patients (4.7 patients (3.5 hazard ratio (HR) of hospitalisation was 1.52 (95 1.47 to 1.57) for COVID-19 patients infected with SGTF variants, compared to those infected with non-SGTF variants. The effect was modified by age (P<0.001), with HRs of 0.93-1.21 for SGTF compared to non-SGTF patients below age 20 years, 1.29 in those aged 20-29, and 1.45-1.65 in age groups 30 years or older. Conclusions: The results suggest that the risk of hospitalisation is higher for individuals infected with the B.1.1.7 variant compared to wildtype SARS-CoV-2, likely reflecting a more severe disease. The higher severity may be specific to adults above the age of 30.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/23/2022

ON THE TREATMENT OF SARS-COV-2 INCLUDING OMICRON TYPE

Objective: The aim of this research is to introduce new method of the tr...
research
04/27/2021

IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples

OBJECTIVE: Our objective is to evaluate the possibility of using cough a...
research
01/12/2018

Multinomial logistic model for coinfection diagnosis between arbovirus and malaria in Kedougou

In tropical regions, populations continue to suffer morbidity and mortal...
research
07/22/2019

Body-worn triaxial accelerometer coherence and reliability related to static posturography in unilateral vestibular failure

Due to the fact that no study to date has shown the experimental validit...
research
05/27/2021

Non-parametric Bayesian Causal Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient's Age

The viral load of patients infected with SARS-CoV-2 varies on logarithmi...

Please sign up or login with your details

Forgot password? Click here to reset