Hospitalization trends and associated factors for COVID in 2.3 million adults in England

The case-fatality ratio (CFR) and case hospitalization ratio (CHR) of coronavirus disease 2019 (COVID-19) vary over time. Notably, the impact of the underlying risk of infected individuals on these ratios is still unknown.

Several studies have been conducted to characterize the risk factors associated with hospitalization and mortality in COVID-19 patients; however, they may not be representative of subsequent pandemic waves, along with the emergence of new variants.

Study: Trends and associated factors for Covid-19 hospitalisation and fatality risk in 2.3 million adults in England. Image Credit: Blue Planet Studio / Shutterstock.com

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

About the study

In a recent article published on the pre-print server medRxiv*, researchers from the United Kingdom performed a national level, retrospective cohort study with the primary aim of determining the risk factors for hospitalization and mortality rates over time among COVID-19 patients in England.

The secondary aim of this study was to identify patient characteristics associated with hospitalization and mortality risk. The researchers were also interested in evaluating whether residual unexplained variation in the CHR and CFR remains after accounting for differences in the underlying risk factors of those infected.

Individuals 18 years or older who tested positive for COVID-19 between October 1, 2020, and April 30, 2021, were included in the study. The data of the participants were linked with primary and secondary care electronic health records and death registrations.

The participants were monitored from the day of positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test for up to 28 days. The two primary outcomes of this study included one or more emergency hospitalization and/or death within 28 days of follow-up for any reason.

A multivariable multilevel logistic regression model was used to evaluate each outcome with patient risk factors and time. Further, age- and time-specific CHR and CFR were determined for each outcome by calculating the predicted probability of the outcome within each age group and study week stratum.

Findings

A total of 2,311,282 individuals were included in the current study, among which 164,046 individuals were admitted to the hospital at least once during the complete study duration. This indicates a CHR of 7.1% and 53,156 deaths occurred within 28 days from a positive test, which indicates a CFR of 2.3%.

A significant elevation in hospitalization rates and mortality risk over time was observed from late December 2020 to early February 2021, which was consistent after individual risk factor adjustment. The peak in CHR was observed during January 2021 in age groups of 40 years and above and had consistently risen until April 2021.

The study found a higher risk of hospitalization and mortality in older individuals, males, people of Asian and Black ethnic backgrounds, and those living in more deprived areas. The study results also indicated a 10% greater risk of hospitalization and a 99% higher risk of mortality in underweight people, which may be due to unmeasured conditions like frailty. Individuals who were obese had a 93% greater risk of hospitalization but a 4% higher mortality risk as compared to individuals with a healthy weight.

The U.K. adopted a clinically extremely vulnerable (CEV) status for individuals at the highest risk of COVID-19-related mortality due to several risk factors such as increased age, male gender, and obesity. The study results indicated an 85% higher risk of hospitalization but a 12% lower risk of mortality in CEV patients after full adjustment of individual risk factors. Current smokers displayed a lower risk of hospitalization as compared to non-smokers but an increase in the risk of mortality after adjustment.

The study also found a strong association between chronic conditions such as chronic respiratory disease, hypertension, chronic kidney disease, dementia, learning disability, stroke, and diabetes, and hospitalization and deaths. However, this was not true for patients with dementia, who were associated with a 6% lower risk of hospitalization.

Conclusion

Overall, the study findings demonstrated that the risk of hospitalization and death from COVID-19 varied significantly during the second wave of the COVID-19 pandemic in England, independent of the underlying condition/risk in the infected individuals. People with individual risk factors such as older adults, males, those living in more deprived areas, and those with obesity had a higher risk of hospitalization and mortality. Learning disability and severe mental illness were associated with the highest risk of hospitalization and mortality, thus emphasizing the need for more care and research in these groups.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • May 8 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Susha Cheriyedath

Written by

Susha Cheriyedath

Susha is a scientific communication professional holding a Master's degree in Biochemistry, with expertise in Microbiology, Physiology, Biotechnology, and Nutrition. After a two-year tenure as a lecturer from 2000 to 2002, where she mentored undergraduates studying Biochemistry, she transitioned into editorial roles within scientific publishing. She has accumulated nearly two decades of experience in medical communication, assuming diverse roles in research, writing, editing, and editorial management.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Cheriyedath, Susha. (2023, May 08). Hospitalization trends and associated factors for COVID in 2.3 million adults in England. News-Medical. Retrieved on November 15, 2024 from https://www.news-medical.net/news/20211206/Hospitalization-trends-and-associated-factors-for-COVID-in-23-million-adults-in-England.aspx.

  • MLA

    Cheriyedath, Susha. "Hospitalization trends and associated factors for COVID in 2.3 million adults in England". News-Medical. 15 November 2024. <https://www.news-medical.net/news/20211206/Hospitalization-trends-and-associated-factors-for-COVID-in-23-million-adults-in-England.aspx>.

  • Chicago

    Cheriyedath, Susha. "Hospitalization trends and associated factors for COVID in 2.3 million adults in England". News-Medical. https://www.news-medical.net/news/20211206/Hospitalization-trends-and-associated-factors-for-COVID-in-23-million-adults-in-England.aspx. (accessed November 15, 2024).

  • Harvard

    Cheriyedath, Susha. 2023. Hospitalization trends and associated factors for COVID in 2.3 million adults in England. News-Medical, viewed 15 November 2024, https://www.news-medical.net/news/20211206/Hospitalization-trends-and-associated-factors-for-COVID-in-23-million-adults-in-England.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Leritrelvir shows high efficacy against SARS-CoV-2 protease mutations