COVID-19 hospitalisations and all-cause mortality by risk group in Finland

Milla Summanen1, Mikko Kosunen1, Ville Kainu1

  • 1Pfizer Biopharma Group, Pfizer Oy, Helsinki, Finland.

Plos One
|May 23, 2023
PubMed

Insights

Elderly individuals and those with chronic kidney disease face the highest risk of severe COVID-19. Early treatment is crucial for these high-risk groups to prevent hospitalizations and reduce healthcare burdens.

Area of Science:

  • Public Health
  • Epidemiology
  • Infectious Diseases

Background:

  • Healthcare systems globally faced significant strain due to the COVID-19 pandemic.
  • While vaccinations reduced the overall burden, severe COVID-19 cases persist, particularly affecting vulnerable populations.
  • Identifying high-risk groups is crucial for targeted interventions and resource allocation.

Purpose of the Study:

  • To identify specific risk groups with the highest likelihood of severe COVID-19 outcomes in Finland.
  • To analyze COVID-19 severity indicators (hospitalization, fatality, length of stay) across different age and comorbidity strata.
  • To compare risk factors across different SARS-CoV-2 variant waves.

Main Methods:

  • Retrospective observational study utilizing national registry data from January 2021 to June 2022.
  • Data stratified by age (≥18, 18-59, ≥60 years) and predefined risk groups.
  • Analysis included infection hospitalization rate (IHR), case fatality rate (CFR), and average length of stay (LOS).

Main Results:

  • Old age (≥60 years) emerged as a significant risk factor for severe COVID-19 outcomes across all patient groups.
  • Chronic kidney disease was identified as a key comorbidity increasing the risk for severe COVID-19.
  • Despite a decrease in overall hospitalizations and deaths, the 60+ population experienced a disproportionate number of severe cases and prolonged hospital stays.

Conclusions:

  • Proactive and early treatment initiation for elderly and at-risk patients is recommended to mitigate severe disease.
  • Targeted interventions for high-risk groups, including those with chronic kidney disease, are essential.
  • Reducing the burden of severe COVID-19 on strained healthcare systems requires a focus on protecting vulnerable populations.

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
229
Pareto Chart00:52

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.8K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
391
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
251
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.1K
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
163