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Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics
Rene Markovič1,2, Luka Ternar3, Tim Trstenjak3
1Faculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
Insights
This study highlights how cardiovascular diseases and metabolic disorders, including glucose and iron metabolism issues, are significantly linked to COVID-19 severity. Understanding these comorbidities is crucial for developing better healthcare strategies.
Area of Science:
- Medical Informatics
- Epidemiology
- Public Health
Background:
- The interplay between COVID-19 and cardiovascular diseases (CVDs) and metabolic disorders is a critical research area.
- Understanding how comorbidities influence COVID-19 risk and severity is increasingly important.
Purpose of the Study:
- To systematically analyze the association between COVID-19 and cardiovascular and metabolic disorders.
- To examine the roles of specific CVDs (e.g., embolism, thrombosis, hypertension, heart failure) and metabolic disorders (e.g., glucose and iron metabolism) in COVID-19 comorbidity.
Main Methods:
- Systematic literature search in PubMed (2000-2022) for COVID-19 and CVD-related articles.
- Creation of two peer-reviewed databases for comparative analysis.
- Statistical analysis of Medical Subject Headings (MeSH) term frequency and relevance to identify associations.
Main Results:
- Cardiovascular Diseases and Nutritional and Metabolic Diseases were key Level 1 MeSH descriptors for COVID-19 comorbidities.
- "Vascular Disease" and "Heart Disease" were prominent Level 2/3 descriptors under CVDs.
- Glucose metabolism disorders were frequently linked to COVID-19 comorbidities like embolism and heart failure; iron deficiency showed distinct patterns.
Conclusions:
- This research provides a foundation for knowledge-based approaches to understand COVID-19 comorbidities.
- Findings can inform the development of targeted healthcare strategies and interventions for pandemic preparedness.
Background:
The interrelation between COVID-19 and various cardiovascular and metabolic disorders has been a critical area of study. There is a growing need to understand how comorbidities such as cardiovascular diseases (CVDs) and metabolic disorders affect the risk and severity of COVID-19.
Objective:
The objective of this study is to systematically analyze the association between COVID-19 and cardiovascular and metabolic disorders. The focus is on comorbidity, examining the roles of CVDs such as embolism, thrombosis, hypertension, and heart failure, as well as metabolic disorders such as disorders of glucose and iron metabolism.
Methods:
Our study involved a systematic search in PubMed for literature published from 2000 to 2022. We established 2 databases: one for COVID-19-related articles and another for CVD-related articles, ensuring all were peer-reviewed. In terms of data analysis, statistical methods were applied to compare the frequency and relevance of MeSH (Medical Subject Headings) terms between the 2 databases. This involved analyzing the differences and ratios in the usage of these terms and employing statistical tests to determine their significance in relation to key CVDs within the COVID-19 research context.
Results:
The study revealed that "Cardiovascular Diseases" and "Nutritional and Metabolic Diseases" were highly relevant as level 1 Medical Subject Headings descriptors in COVID-19 comorbidity research. Detailed analysis at level 2 and level 3 showed "Vascular Disease" and "Heart Disease" as prominent descriptors under CVDs. Significantly, "Glucose Metabolism Disorders" were frequently associated with COVID-19 comorbidities such as embolism, thrombosis, and heart failure. Furthermore, iron deficiency (ID) was notably different in its occurrence between COVID-19 and CVD articles, underlining its significance in the context of COVID-19 comorbidities. Statistical analysis underscored these differences, highlighting the importance of both glucose and iron metabolism disorders in COVID-19 research.
Conclusions:
This work lays the foundation for future research that utilizes a knowledge-based approach to elucidate the intricate relationships between these conditions, aiming to develop more effective health care strategies and interventions in the face of ongoing pandemic challenges.
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