Related Experiment Video
Updated: Jun 21, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
D-dimers in omicron versus delta: A retrospective analysis
Alon H Shulman1, Barry Jacobson1,2, Bradley M Segal1
1Department of Haematology and Molecular Medicine, Faculty of Health Sciences, National Health Laboratory Service, University of the Witwatersrand, Johannesburg, South Africa.
Background:
Infection with SARS-CoV-2 has shown to cause an increase in D-dimers, which correlate with severity and prognosis for in-hospital mortality. The B.1.617.2 (delta) variant is known to cause a raised D-dimer level, with data on D-dimers in the B.1.1.529 (omicron) variant being scarce.
Objectives:
To determine the effect of age, gender and SARS-CoV-2 variant on the D-dimer in South Africans admitted to tertiary medical centres from May 2021 to December 2021.
Method:
The study was performed retrospectively on 16 010 adult patients with a SARS-CoV-2 infection. Age, gender, SARS-CoV-2 PCR and D-dimer levels on admission were collected from two national laboratories. Admissions from 01 May 2021 to 31 October 2021 were classified as B.1.617.2, whereas admissions from 01 November 2021 to 23 December 2021 were classified as B.1.1.529 infections.
Results:
Omicron infections had a median D-dimer level of 0.54 µg/mL (95% CI: 0.32, 1.08, p < 0.001). Multivariable regression analysis showed that infection with omicron had a 34.30% (95% CI: 28.97, 39.23) reduction in D-dimer values, compared with delta infections. Middle aged, aged and aged over 80 years had D-dimer results greater than the adult baseline (42.6%, 95% CI: 38.0, 47.3, 124.6%, 95% CI: 116.0, 133.7 and 216.1%, 95% CI: 199.5, 233.3). Males on average had a 7.1% (95% CI: 4.6, 9.6) lower D-dimer level than females.
Conclusion:
Infection with the B.1.1.529 variant, compared with B.1.617.2 variant, had significantly lower D-dimer levels, with age being a more significant predictor of D-dimer levels, than gender and SARS-CoV-2 variant of infection.
Contribution:
This study provides novel insight into the hypercoagulable impact of various SARS-CoV-2 variants, which can guide the management of patients.
Insights
Omicron variant (B.1.1.529) infections showed significantly lower D-dimer levels compared to the delta variant (B.1.617.2). Age was a stronger predictor of D-dimer levels than gender or SARS-CoV-2 variant.
Area of Science:
- Medical research
- Virology
- Hematology
Background:
- SARS-CoV-2 infection elevates D-dimers, indicating severity and mortality risk.
- The B.1.617.2 (delta) variant is associated with higher D-dimer levels.
- Limited data exists on D-dimer levels during B.1.1.529 (omicron) variant infections.
Purpose of the Study:
- To investigate the impact of age, gender, and SARS-CoV-2 variants (delta and omicron) on D-dimer levels.
- To compare D-dimer levels between delta and omicron variant infections in South African patients.
- To identify key predictors of D-dimer levels in SARS-CoV-2 infected individuals.
Main Methods:
- Retrospective analysis of 16,010 adult patients with SARS-CoV-2 infection.
- Data collection included age, gender, PCR results, and admission D-dimer levels.
- Patients were categorized into delta (May-Oct 2021) and omicron (Nov-Dec 2021) infection groups.
Main Results:
- Omicron infections had a median D-dimer of 0.54 µg/mL, significantly lower than delta.
- Omicron infection was associated with a 34.30% reduction in D-dimer compared to delta.
- Age was a significant predictor, with older age groups showing substantially higher D-dimer levels. Males had slightly lower D-dimer levels than females.
Conclusions:
- The B.1.1.529 (omicron) variant is associated with significantly lower D-dimer levels than the B.1.617.2 (delta) variant.
- Age is a more significant predictor of D-dimer levels than gender or SARS-CoV-2 variant.
- Findings offer insights into the hypercoagulable effects of different SARS-CoV-2 variants, aiding patient management.
More Related Videos
09:03Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
Published on: November 7, 2020
06:29Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19
Published on: May 25, 2022
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Bioequivalence Data: Statistical Interpretation