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Updated: Jul 13, 2026
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
Published on: April 17, 2017
Lipid profile as an indicator of COVID-19 severity: A systematic review and meta-analysis
Roshan Kumar Mahat1, Vedika Rathore2, Neelima Singh3
1Department of Biochemistry, Pandit Raghunath Murmu Medical College and Hospital, Baripada, Mayurbhanj, Odisha, 757107, India.
Insights
This study found that altered lipid profiles, including lower total cholesterol, HDL-C, and LDL-C, are linked to severe COVID-19 and increased mortality risk. These lipid markers may help predict patient outcomes.
Area of Science:
- Cardiology
- Infectious Diseases
- Biochemistry
Background:
- Coronavirus disease-2019 (COVID-19) is a significant global health crisis.
- Dyslipidemia has been observed in COVID-19 patients, suggesting a link to disease progression.
- Understanding the role of lipid profiles in COVID-19 severity and outcomes is crucial for patient management.
Purpose of the Study:
- To systematically review and meta-analyze existing studies.
- To evaluate the association between lipid profiles and COVID-19 severity.
- To assess the relationship between lipid profiles and mortality in COVID-19 patients.
Main Methods:
- Searched PubMed/Medline, Europe PMC, and Google Scholar for relevant studies (Jan 2020 - Jan 2021).
- Included 19 studies assessing lipid profiles in relation to COVID-19 severity and/or mortality.
- Employed random or fixed-effects models for meta-analysis and assessed heterogeneity.
Main Results:
- Significantly decreased total cholesterol (TC), HDL-C, and LDL-C in severe COVID-19 cases compared to non-severe.
- Lower HDL-C and LDL-C levels were observed in non-survivors versus survivors.
- TC levels were also decreased in non-survivors compared to survivors.
Conclusions:
- The lipid profile is significantly associated with both the severity and mortality of COVID-19.
- Lipid profile parameters may serve as potential biomarkers for assessing COVID-19 severity and prognosis.
- Further research can explore therapeutic interventions targeting lipid metabolism in COVID-19.
Background:
Coronavirus disease-2019 (COVID-19) is a global pandemic. Studies reported dyslipidemia in patients with COVID-19. Herein, we conducted a systematic review and meta-analysis of published articles to evaluate the association of the lipid profile with the severity and mortality in COVID-19 patients.
Methods:
PubMed/Medline, Europe PMC, and Google Scholar were searched for studies published between January 1, 2020 and January 13, 2021. Random or Fixed effects models were used to calculate the mean difference (MD) and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using Cochran's Q test and I2 statistics.
Results:
This meta-analysis included 19 studies. Of which, 12 studies were categorized by severity, 04 studies by mortality, and 03 studies by both severity and mortality. Our findings revealed significantly decreased levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in the severe group when compared with the non-severe group in a random effect model. Similarly, random effect model results demonstrated significantly lower levels of HDL-C and LDL-C in the non-survivor group when compared with the survivor group. The level of TC was also found to be decreased in the non-survivor group when compared to the survivor group in a fixed-effect model.
Conclusion:
In conclusion, the lipid profile is associated with both the severity and mortality in COVID-19 patients. Hence, the lipid profile may be used for assessing the severity and prognosis of COVID-19.
Prospero Registration Number:
CRD42021216316.
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