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Epidemiological topology data analysis links severe COVID-19 to RAAS andhyperlipidemia associated metabolic syndrome conditions (preprint)
medrxiv; 2022.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2022.03.31.22273239
ABSTRACT
The emergence of COVID19 created incredible worldwide challenges but offers unique opportunities to understand the physiology of its risk factors and their interactions with complex disease conditions, such as metabolic syndrome. Epidemiological analysis powered by topological data analysis (TDA) is a novel approach to uncover these clinically relevant interactions. Here TDA utilized Explorys data to discover associations among severe COVID19 and metabolic syndrome, and it explored the probative value of drug prescriptions to capture the involvement of RAAS and hypertension with COVID19 as well as modification of risk factor impact by hyperlipidemia on severe COVID19.
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Main subject:
COVID-19
/
Hyperlipidemias
/
Hypertension
/
Metabolic Diseases
Language:
English
Year:
2022
Document Type:
Preprint
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