Prognostic Factors for Covid-19 on Admission Profile and Air Pollutants.
Stud Health Technol Inform
; 302: 901-902, 2023 May 18.
Article
in English
| MEDLINE | ID: covidwho-2326086
ABSTRACT
It has been reported that the severity and lethality of Covid-19 are associated with coexisting underlying diseases (hypertension, diabetes, etc.) and cardiovascular diseases (coronary artery disease, atrial fibrillation, heart failure, etc.) that increase with age, but environmental exposure such as air pollutants may also be a risk factor for mortality. In this study, we investigated patient characteristics at admission and prognostic factors of air pollutants in Covid-19 patients using a machine learning (random forest) prediction model. Age, Photochemical oxidant concentration one month prior to admission, and level of care required were shown to be highly important for the characteristics, while the cumulative concentrations of air pollutants SPM, NO2, and PM2.5 one year prior to admission were the most important characteristics for patients aged 65 years and older, suggesting the influence of long-term exposure.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Atrial Fibrillation
/
Air Pollutants
/
Air Pollution
/
COVID-19
Type of study:
Prognostic study
/
Randomized controlled trials
Limits:
Humans
/
Infant
Language:
English
Journal:
Stud Health Technol Inform
Journal subject:
Medical Informatics
/
Health Services Research
Year:
2023
Document Type:
Article
Affiliation country:
Shti230301
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