# Clinical characteristics and risk factors in patients with SARS-CoV-2 Omicron variant infection complicated with cardiovascular diseases

**Authors:** Xiao-hua Yu, Yu-wei Liao, Ling Rong, Bi-gui Chen, Run-jun Li, Guang-kuan Zeng, Li-li Liu, Yan-bin Cao, Jian-lian Liang, Bai-ru Lai, Yan-qing Zeng, Yu-chan Huang, Li-ye Yang

PMC · DOI: 10.3389/fmed.2024.1383252 · Frontiers in Medicine · 2024-05-21

## TL;DR

This study examines how cardiovascular disease affects the severity and outcomes of SARS-CoV-2 Omicron infections, identifying risk factors and biomarkers for mortality.

## Contribution

The study identifies CRP and D-dimer as independent risk factors for mortality in Omicron-infected patients with cardiovascular disease.

## Key findings

- CRP and D-dimer are independent risk factors for mortality in Omicron-infected patients with cardiovascular diseases.
- D-dimer has the highest sensitivity (95.8%) for predicting mortality risk, while CRP has the highest specificity (84.4%).
- Early vaccination and monitoring of biomarkers can reduce mortality in patients with cardiovascular diseases and Omicron infection.

## Abstract

To investigate the clinical characteristics and risk factors of patients with SARS-CoV-2 Omicron variant infection complicated with cardiovascular diseases.

A retrospective analysis of general clinical data was conducted on patients with SARS-CoV-2 omicron infection complicated with hypertension, coronary heart disease, and heart failure admitted to one hospital in Guangdong Province from December 1, 2022, to February 28, 2023. Clinical symptoms, laboratory tests, imaging examinations, treatment, and clinical outcomes were collected. Multivariate logistic regression analysis was used to analyze the risk factors for mortality in patients with SARS-CoV-2 Omicron variant infection complicated with cardiovascular diseases. ROC curves were drawn to evaluate the predictive value of CRP, D-dimer, and CK-MB in predicting the risk of death.

A total of 364 confirmed cases were included, divided into the asymptomatic group, mild to moderate group, and severe to critically ill group based on the symptoms of COVID-19. There were 216 males (59.34%) and 148 females (40.66%), with a median age of 75 years. The differences between the three groups in terms of sex and age were statistically significant (p < 0.05). The top three underlying diseases were hypertension (288 cases, 79.12%), coronary heart disease (100 cases, 27.47%), and diabetes (84 cases, 23.08%). The differences in unvaccinated and triple-vaccinated patients among the three groups were statistically significant (p < 0.05). The common respiratory symptoms were cough in 237 cases (65.11%) and sputum production in 199 cases (54.67%). In terms of laboratory tests, there were statistically significant differences in neutrophils, lymphocytes, red blood cells, C-reactive protein, D-dimer, aspartate aminotransferase, and creatinine among the three groups (p < 0.05). In imaging examinations, there were statistically significant differences among the three groups in terms of unilateral pulmonary inflammation, bilateral pulmonary inflammation, and bilateral pleural effusion (p < 0.05). There were statistically significant differences among the three groups in terms of antibiotic treatment, steroid treatment, oxygen therapy, nasal cannula oxygen inhalation therapy, non-invasive ventilation, and tracheal intubation ventilation (p < 0.05). Regarding clinical outcomes, there were statistically significant differences among the three groups in terms of mortality (p < 0.05). Multivariate logistic regression analysis showed that CRP (OR = 1.012, 95% CI = 1.004–1.019) and D-dimer (OR = 1.117, 95% CI = 1.021–1.224) were independent risk factors for patient mortality. The predictive value of CRP, D-dimer, and CK-MB for the risk of death was assessed. D-dimer had the highest sensitivity (95.8%) in predicting patient mortality risk, while CRP had the highest specificity (84.4%).

For patients with COVID-19 and concomitant cardiovascular diseases without contraindications, early administration of COVID-19 vaccines and booster shots can effectively reduce the mortality rate of severe cases. Monitoring biomarkers such as CRP, D-dimer, and CK-MB and promptly providing appropriate care can help mitigate the risk of mortality in patients.

## Linked entities

- **Diseases:** coronary heart disease (MONDO:0005010), heart failure (MONDO:0005252), diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** heart failure (MESH:D006333), cough (MESH:D003371), pleural effusion (MESH:D010996), diabetes (MESH:D003920), pulmonary inflammation (MESH:D011014), COVID-19 (MESH:D000086382), sputum production (MESH:D007787), respiratory (MESH:D012131), infection (MESH:D007239), ill (MESH:D002908), coronary heart disease (MESH:D003327), hypertension (MESH:D006973), death (MESH:D003643), cardiovascular diseases (MESH:D002318)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

20 references — full list in the complete paper: https://tomesphere.com/paper/PMC11148228/full.md

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Source: https://tomesphere.com/paper/PMC11148228