Does a history of cardiovascular disease or cancer affect mortality after SARS-CoV-2 infection?

Insights

Age, male sex, and distant metastatic cancer were key risk factors for COVID-19 mortality in Norway. Other cardiovascular diseases and non-metastatic cancer did not significantly increase death risk after SARS-CoV-2 infection.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Diseases

Background:

  • Cardiovascular disease and cancer are potential risk factors for COVID-19 mortality.
  • Previous studies suggested a link, necessitating further investigation.

Purpose of the Study:

  • To determine if a history of cardiovascular disease or cancer impacts mortality risk following a COVID-19 diagnosis in Norway.

Main Methods:

  • Data sourced from Norwegian national health registries.
  • Regression models (univariable and multivariable) used to assess relative and absolute risks.

Main Results:

  • Age, male sex, prior stroke, and distant metastatic cancer independently increased COVID-19 death risk.
  • Myocardial infarction, atrial fibrillation, heart failure, hypertension, and non-metastatic cancer were not significant risk factors after adjusting for age and sex.

Conclusions:

  • Age is the primary risk factor for COVID-19 death.
  • Male sex, stroke, and distant metastatic cancer are significant risk factors for mortality after SARS-CoV-2 infection.
Abstract

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
525
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...
403
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
180
Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
663
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.
252
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
5.8K