ArticleBMC pulmonary medicine2023
Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2.
Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Investigating the relationship between blood factors and HDL-C levels in the bloodstream using machine learning methods.Journal of health, population, and nutrition · 2025Article
- Article
- Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes.Journal of health, population, and nutrition · 2025Article
- Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches.BMC medical informatics and decision making · 2025Article
- Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches.Journal of human hypertension · 2025Article
- Association between serum hypertriglyceridemia and hematological indices: data mining approaches.BMC medical informatics and decision making · 2024Article
- Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression.Scientific reports · 2024Article
- Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms.Journal of clinical laboratory analysis · 2024Article
- Uric acid is associated with type 2 diabetes: data mining approaches.Diabetology international · 2024Article
- The Community Pharmacy as a Study Center for the Epidemiological Analysis of the Population Vaccination against SARS-CoV-2: Evaluation of Vaccine Safety and Pharmaceutical Service.Pharmacy (Basel, Switzerland) · 2024Article
- Association between biochemical and hematologic factors with COVID-19 using data mining methods.BMC infectious diseases · 2023Article
- Serum uric acid to high-density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large-scale study.Endocrinology, diabetes & metabolism · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveCorona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona virus spread in humans in December 2019 in Wuhan, China. The purpose of this study was to investigate the relationship between type 2 diabetes mellitus (T2DM), and their biochemical and hematological factors with the level of infection with COVID-19 to improve the treatment and management of the disease. MATERIAL AND
methodThis study was conducted on a population of 13,170 including 5780 subjects with SARS-COV-2 and 7390 subjects without SARS-COV-2, in the age range of 35-65 years. Also, the associations between biochemical factors, hematological factors, physical activity level (PAL), age, sex, and smoking status were investigated with the COVID-19 infection.
resultData mining techniques such as logistic regression (LR) and decision tree (DT) algorithms were used to analyze the data. The results using the LR model showed that in biochemical factors (Model I) creatine phosphokinase (CPK) (OR: 1.006 CI 95% (1.006,1.007)), blood urea nitrogen (BUN) (OR: 1.039 CI 95% (1.033, 1.047)) and in hematological factors (Model II) mean platelet volume (MVP) (OR: 1.546 CI 95% (1.470, 1.628)) were significant factors associated with COVID-19 infection. Using the DT model, CPK, BUN, and MPV were the most important variables. Also, after adjustment for confounding factors, subjects with T2DM had higher risk for COVID-19 infection.
conclusionThere was a significant association between CPK, BUN, MPV and T2DM with COVID-19 infection and T2DM appears to be important in the development of COVID-19 infection.
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