Related Experiment Video

Updated: Oct 27, 2025

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

462

Correlation of Hemoglobin A1C and Outcomes in Patients Hospitalized With COVID-19

Amy J Patel1, Stanislaw P Klek1, Virginia Peragallo-Dittko2

  • 1Division of Endocrinology, Diabetes, and Metabolism, New York University Long Island School of Medicine, Mineola, New York.

Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
|July 20, 2021
PubMed

Insights

This study found no significant link between hemoglobin A1C (HbA1C) levels and poor outcomes in hospitalized patients with diabetes and COVID-19. Therefore, HbA1C should not be used for risk stratification in this patient group.

Area of Science:

  • Internal Medicine
  • Endocrinology
  • Infectious Diseases

Background:

  • Diabetes mellitus is a significant risk factor for severe COVID-19.
  • Glycemic control, indicated by Hemoglobin A1C (HbA1C), is crucial in managing diabetic patients.
  • The impact of HbA1C levels on COVID-19 outcomes in hospitalized diabetic patients requires further investigation.

Purpose of the Study:

  • To investigate the correlation between Hemoglobin A1C (HbA1C) levels and clinical outcomes in hospitalized patients with diabetes and COVID-19.
  • To determine if HbA1C can be used for risk stratification in this population.

Main Methods:

  • Retrospective, single-center observational study.
  • Inclusion of hospitalized patients with confirmed COVID-19 and diabetes (HbA1C ≥6.5% or history).
  • Categorization of HbA1C levels into four quartiles for outcome analysis.

Main Results:

  • No statistically significant differences in in-hospital mortality, ICU admission, mechanical ventilation, or length of stay were observed across HbA1C quartiles.
  • Acute kidney injury was less frequent in the highest HbA1C quartile (>9%).
  • A total of 506 patients were analyzed.

Conclusions:

  • No significant association found between HbA1C levels and adverse clinical outcomes in hospitalized COVID-19 patients with diabetes.
  • HbA1C levels are not recommended for risk stratification in this patient cohort.
  • Further research may explore other glycemic markers or factors influencing outcomes.
Abstract

Keywords:
COVID-19diabeteshemoglobin A1Cmortalityoutcomes

More Related Videos

Improving IV Insulin Administration in a Community Hospital12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.1K
A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy07:24

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy

1.8K

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
3.6K
Overview of Carbohydrate Metabolism01:19

Overview of Carbohydrate Metabolism

Carbohydrate metabolism is a fundamental biochemical process that ensures a constant supply of energy to living cells. The most important carbohydrate is glucose, which can be broken down via glycolysis to enter into the Krebs cycle and eventually lead to the production of ATP through oxidative phosphorylation.
Glucose transport into cells is facilitated by a family of transport proteins called GLUT (Glucose Transporters). GLUT4 is the primary glucose transporter for insulin-stimulated glucose...
2.3K
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
13.1K
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
34.7K
Hemoglobin01:24

Hemoglobin

Hemoglobin is a globular protein made up of four subunits. Two of these subunits are alpha chains, and the other two are beta chains. Each subunit contains a molecule of heme, which has an iron atom and can bind to oxygen. When an oxygen molecule binds to one heme group, it changes the shape of hemoglobin, making it easier for the other heme groups to bind oxygen as well.
When all four heme groups are bound to oxygen, the resulting molecule is called oxyhemoglobin. As a result, arterial blood...
5.9K
Contingency Table01:29

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.8K