Comparison of Clinical Characteristics and Outcomes of COVID-19 Between Young and Older Patients: A Multicenter,

Chukwuemeka Umeh1, Kimberly Watanabe1, Laura Tuscher1

  • 1Internal Medicine, Hemet Global Medical Center, Hemet, USA.

Cureus
|March 7, 2022
PubMed

Insights

COVID-19 outcomes vary by age. This study found age, C-reactive protein (CRP), and bradycardia predict mortality in younger patients, while only CRP predicts mortality in older patients.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Gerontology

Background:

  • COVID-19 outcomes differ between young and elderly populations.
  • Previous studies had small sample sizes, limiting insights into age-related differences.
  • A large multicenter dataset is needed to accurately assess these disparities.

Purpose of the Study:

  • To evaluate differences in COVID-19 outcomes between young and elderly patients.
  • To identify age-specific predictors of mortality in COVID-19.
  • To utilize a large multicenter dataset for robust analysis.

Main Methods:

  • Retrospective study of 1,116 COVID-19 patients (March 2020-March 2021).
  • Patients categorized into two groups: <65 years and ≥65 years.
  • Kaplan-Meier and Cox multivariate regression analyses performed for mortality prediction.

Main Results:

  • Patients <65 years showed increased survival compared to those ≥65 years (p < 0.001).
  • In patients ≥65 years, age, C-reactive protein (CRP), and bradycardia predicted mortality.
  • In patients <65 years, CRP predicted mortality, and being male was protective (HR = 0.46, p = 0.002).

Conclusions:

  • Mortality predictors in COVID-19 patients differ significantly by age group.
  • Age, CRP, and bradycardia are key mortality predictors in younger COVID-19 patients.
  • CRP is the primary mortality predictor in older COVID-19 patients, with male sex showing a protective effect in younger individuals.

Related Concept Videos

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:  
752
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
467
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...
327
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.9K
COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
659
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.6K