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Published on: November 10, 2023
Demographics of COVID-19 hospitalisations and related fatality risk patterns
Daniela Ghio1, Simona Bignami-Van Assche2, Nikolaos I Stilianakis3
1European Commission, Joint Research Centre (JRC), Ispra, Italy.
Insights
Older adults and men, particularly those aged 50-69, face higher COVID-19 hospitalization risks. Comorbidities significantly influence the need for hospital care, impacting health resource planning during pandemics.
Area of Science:
- Epidemiology
- Public Health
- Health Services Research
Background:
- Assessing COVID-19 hospitalizations and fatality risks is vital for healthcare resource planning.
- Large-scale comparative data on COVID-19 hospitalization patterns and risk factors are limited.
Purpose of the Study:
- To profile the demographics of COVID-19 hospitalized patients across nine European countries during the first pandemic wave.
- To estimate the role of demographic factors and comorbidities in COVID-19 in-hospital mortality.
- To understand the burden of COVID-19 on healthcare demand during emergencies.
Main Methods:
- Utilized anonymized, individual-level SARS-CoV-2 infection data harmonized by the European Centre for Disease Prevention and Control.
- Analyzed demographic factors associated with hospitalization and in-hospital mortality.
- Conducted a case study on comorbidities among hospitalized COVID-19 patients in the Dutch health system.
Main Results:
- Hospitalization rates were highest for individuals over 70 and those aged 50-69.
- Men exhibited higher hospitalization rates than women across all age groups, especially above 50.
- Comorbidities were found to be key factors in selecting COVID-19 cases requiring hospitalization.
Conclusions:
- Findings highlight the need for calibrated epidemiological projections and strategic health service planning for infectious disease outbreaks.
- Understanding hospitalization timing and intensity aids in comprehending severe COVID-19 outcomes.
- Demographic factors and comorbidities are critical considerations for managing healthcare demand during pandemics.
Abstract:
The assessment of hospitalisations and intensive care is crucial for planning health care resources needed over the course of the coronavirus disease 2019 (COVID-19) pandemic. Nonetheless, comparative empirical assessments of COVID-19 hospitalisations and related fatality risk patterns on a large scale are lacking. This paper exploits anonymised, individual-level data on SARS-CoV-2 confirmed infections collected and harmonized by the European Centre for Disease Prevention and Control to profile the demographics of COVID-19 hospitalised patients across nine European countries during the first pandemic wave (February - June 2020). We estimate the role of demographic factors for the risk of in-hospital mortality, and present a case study exploring individuals' comorbidities based on a subset of COVID-19 hospitalised patients available from the Dutch health system. We find that hospitalisation rates are highest among individuals with confirmed SARS-CoV-2 infection who are not only older than 70 years, but also 50-69 years. The latter group has a longer median time between COVID-19 symptoms' onset and hospitalisation than those aged 70+ years. Men have higher hospitalisation rates than women at all ages, and particularly above age 50. Consistently, men aged 50-59 years have a probability of hospitalisation almost double than women do. Although the gender imbalance in hospitalisation remains above age 70, the gap between men and women narrows at older ages. Comorbidities play a key role in explaining selection effects of COVID-19 confirmed positive cases requiring hospitalisation. Our study contributes to the evaluation of the COVID-19 burden on the demand of health-care during emergency phases. Assessing intensity and timing dimensions of hospital admissions, our findings allow for a better understanding of COVID-19 severe outcomes. Results point to the need of suitable calibrations of epidemiological projections and (re)planning of health services, enhancing preparedness to deal with infectious disease outbreaks.
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