COVID-19 is more dangerous for older people and its severity is increasing: a case-control study

Cuma Mertoglu1, Mehmet Tahir Huyut2, Hasan Olmez3

  • 1Department of Clinical Biochemistry, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan; Department of Clinical Biochemistry, Faculty of Medicine, Inonu University, Malatya, Turkey.

Medical Gas Research
|October 22, 2021
PubMed

Insights

Routine blood test results for Coronavirus disease 2019 (COVID-19) patients showed significant seasonal variations. These COVID-19 biomarker changes indicate disease progression over time.

Area of Science:

  • Clinical Medicine
  • Hematology
  • Biochemistry

Background:

  • Coronavirus disease 2019 (COVID-19) is known to affect various physiological parameters.
  • Routine blood tests are essential for monitoring patient status and disease progression.

Purpose of the Study:

  • To investigate seasonal variations in biochemical, hematological, and inflammatory biomarkers in COVID-19 patients.
  • To analyze temporal changes in these biomarkers from spring to autumn.

Main Methods:

  • Retrospective case-control study involving 3969 COVID-19 patients.
  • Analysis of routine blood tests stratified by season (spring, summer, autumn) and care setting (non-ICU, ICU).

Main Results:

  • In non-ICU patients, lower lymphocyte to monocyte ratio and higher neutrophil to lymphocyte ratio were observed in autumn.
  • Several hematological parameters (e.g., eosinophil, hemoglobin, red blood cells) decreased from spring to autumn.
  • Biochemical markers showed trends of increasing liver enzymes and decreasing protein/albumin levels over the seasons, with elevated C-reactive protein in autumn.

Conclusions:

  • Seasonal variations in routine blood biomarkers are evident in COVID-19 patients.
  • Temporal changes in these biomarkers suggest disease severity and progression over time.

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:  
794
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
301
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
36
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...
695
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
13.5K
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
524