11 results on '"Ghoflchi S"'
Search Results
2. The PI3K/Akt pathway: a target for curcumin's therapeutic effects.
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Aliyari M, Ghoflchi S, Hashemy SI, Hashemi SF, Reihani A, and Hosseini H
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Purpose: The purpose of this review study is to investigate the effect of curcumin on the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway in various diseases. Curcumin, the main compound found in turmeric, has attracted a lot of attention for its diverse pharmacological properties. These properties have increased the therapeutic potential of curcumin in chronic diseases such as cardiovascular disease, Type 2 diabetes, obesity, non-alcoholic fatty liver disease, kidney disease, and neurodegenerative diseases. One of the main mechanisms of the effect of curcumin on health is its ability to modulate the PI3K/Akt signaling pathway. This pathway plays an important role in regulating vital cellular processes such as growth, cell survival, metabolism, and apoptosis. Disruption of the PI3K/Akt signaling pathway is associated with the incidence of several diseases., Methods: Electronic databases including PubMed, Google Scholar, and Scopus were searched with the keywords "phosphoinositide 3-kinase" AND "protein kinase B "AND "curcumin" in the title/abstract. Also, following keywords "non-alcoholic fatty liver disease" AND "diabetes" AND "obesity" AND "kidney disease" and "neurodegenerative diseases" was searched in the whole text., Results: Research indicates that curcumin offers potential benefits for several health conditions. Studies have shown it can help regulate blood sugar, reduce inflammation, and protect the heart, kidneys, and brain., Conclusion: This protective effect is partially achieved by regulating the PI3K-Akt survival pathway, which helps improve metabolic disorders and oxidative stress. By examining how curcumin affects this vital cell pathway, researchers can discover new treatment strategies for a range of diseases., Competing Interests: Competing interestsThe authors declare no conflict of interests., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2025. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
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- 2025
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3. Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches.
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Ghoflchi S, Mansoori A, Islampanah M, Yousefabadi SA, Poudineh M, Derakhshan-Nezhad E, Zardast A, Azmon M, Rezae FA, Ferns G, Esmaily H, and Ghayour-Mobarhan M
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- Humans, Female, Male, Middle Aged, Adult, Cross-Sectional Studies, Aged, Biomarkers blood, Prospective Studies, Risk Factors, Iran epidemiology, Smokers statistics & numerical data, Hypertension blood, Hypertension epidemiology, Smoking adverse effects, Smoking epidemiology, Smoking blood, Data Mining, Inflammation blood
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Although there have been reports on the association between smoking and increased level of inflammatory markers in hypertensive this has not been assessed prospectively in a large, modern cohort using data mining approaches. We conducted a cross-sectional analysis of the Mashad trial which was a prospective. 2085 smokers aged 35 to 65 years was studied. Inflammatory indices measured included: Hemoglobin-Platelet Ratio (HPR), Uric acid-high Density Lipoprotein (HDL) Ratio (UHR), Neutrophil-Lymphocyte Ratio (NLR), Systemic Immune Inflammation (SII) index, WBC, Platelet-Lymphocyte Ratio (PLR), and RBC Distribution Width (RDW). The association between these parameters and smoking in hypertensive individuals was examined. Over the course of the 6-year monitoring period, 585 peoples had HTN of whom the majority was female (59%). As per the LR analysis, there was a significant association between hypertension and age, WBC, SII, PLR in female smokers, as well as age and PLR in male smokers. (p-value < 0.05). PLR (OR = 0.993, CI 95% (0.987, 0.999)) and age (1.080 (1.058, 1.102)) for male and WBC (1.340 (1.139, 1.577)) and age (1.091 (1.070, 1.113)) for female exhibits the most appropriate estimate. Using the DT model for male individuals, those with, age ≥ 64 years, and SII < 336 had the correlated with hypertension prevalence (76%). For females, those with age ≥ 62 years, WBC ≥ 6.1, and SII < 445.634 had the highest risk of HTN. Age and SII for smoker males and age and WBC for smoker females showed the strongest correlation with hypertension. Age and WBC were the most significant indicators for predicting HTN., Competing Interests: Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: The study protocol was reviewed and all methods are approved by the Ethics Committee of MUMS with approval number IR.MUMS.REC.1386.250. All methods were carried out in accordance with relevant guidelines and regulations. All the participants consented to take part in the study by signing written informed consent. Informed consent was obtained from all subjects using protocols approved by the Ethics Committee of the Mashhad University of Medical Science (MUMS), approval number IR.MUMS.REC.1386.250. All experiments were performed in accordance with relevant guidelines and regulations., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2025
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4. Association between serum hypertriglyceridemia and hematological indices: data mining approaches.
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Ghiasi Hafezi S, Mansoori A, Kooshki A, Hosseini M, Ghoflchi S, Ghamsary M, Ferns G, Esmaily H, and Ghayour-Mobarhan M
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- Humans, Middle Aged, Male, Female, Adult, Aged, Machine Learning, Iran, Erythrocyte Indices, Triglycerides blood, Data Mining, Hypertriglyceridemia blood
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Background: High triglyceride (TG) affects and is affected of other hematological factors. The determination of serum fasted triglycerides concentrations, as part of a lipid profile, is crucial key point in hematological factors and significantly affect various systemic diseases. This study was carried out to assess the potential relation between the concentration of TG and hematological factors., Method: Our sample size was 9704 participants beginning in 2007 and ending in 2020 aged between 35 and 65 years, sourced from the MASHAD cohort (northeastern Iran). Machine learning methodologies, specifically logistic regression, decision tree, and random forest algorithms, were utilized for data analysis in the investigation of individuals with normal and high TG levels., Results: The highest Gini score belongs to RLR (Red cell distribution width/Lymphocyte) (236.10), RPR (Red cell distribution width/Platelets) (215.78), and PHR (Platelets/high-density lipoprotein) (273.66). We also found that factors such as age are statistically associated with the level of TG in women probably due to the drop in menopausal estrogen. RF model showed to have higher accuracy in predicting the TG level in both males and females., Conclusion: Our model assessed the association between serum TG with several hematological factors like RLR, RPR, and PHR. Other hematological factors also have been reported to be related to the TG level. As these results give us new insights into the association of TG on various hematological factors and their possible interactions with each other. future studies are needed to provide sufficient data for the mechanism and the pathophysiology of the findings., Competing Interests: Declarations. Ethics approval and consent to participate: This study protocol was reviewed and approved by the Ethics Committee of MUMS, approval number IR.MUMS.REC.1386.250. Informed consent to participate was obtained from all of the participants in the study. Consent for publication: The consent for publication has been obtained from all the authors. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
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- 2024
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5. Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.
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Mansoori A, Allahyari M, Mirvahabi MS, Tanbakuchi D, Ghoflchi S, Derakhshan-Nezhad E, Azarian F, Ferns G, Esmaily H, and Ghayour-Mobarhan M
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Objective: Our aim was to examine the correlation between CVDs and various anthropometric and biochemical indices in the Iranian population., Methods: 9704 healthy individuals without CVD aged 35-65 were enrolled in our study. The anthropometric indices including Body Adiposity Index (BAI), Abdominal Volume Index (AVI), Body Roundness Index (BRI), Waist to Hip Ratio (WHR), Weight-adjusted Waist Index (WWI), Conicity Index (C-Index), A Body Shape Index (ABSI), Waist to Height Ratio (WHtR), Body Surface Area (BSA), Body Mass Index (BMI), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI) were calculated. The biochemical indices including Cardiac Risk Ratio (CRR), Atherogenic Index of Plasma (AIP), Triglycerides-Glucose Index (TyG), Cardiac Risk Index (CRI), Atherogenic Coefficient (AC), and high-sensitivity C-Reactive Protein (hs-CRP) were investigated. The association of the above indices with CVD was analyzed using logistic regression (LR) and the decision tree (DT) models., Results: The LR showed age, hs-CRP, AIP, AVI, LAP, and TyG had significant associations with CVDs in men (p-value < 0.002). Also, age, hs-CRP, LAP, TyG, BRI, VAI, and CRR had significant associations with CVDs in women (p-value < 0.002). The DT showed 95% of men with age > = 48, AIP > = 0.94, TyG > = 9.71, and AVI > = 14.24 had CVDs. Also, 97% of women with age > = 54, TyG > = 8.33, and hs-CRP > = 36.69 had CVDs., Conclusion: Age, TyG, AIP, AVI, hs-CRP and LAP were the best predictors of CVD in men. Moreover, age, TyG, hs-CRP and BAI were the best indicators of CVD in women., Competing Interests: Declarations. Ethics approval and consent to participate: All the participants consented to take part in the study by signing written informed consent. The study protocol was reviewed and all methods are approved by the Ethics Committee of Mashhad University of Medical Sciences with approval number IR.MUMS.MEDICAL.REC.1402.023. All methods were carried out in accordance with relevant guidelines and regulations. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
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- 2024
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6. Comparison between statistical and machine learning methods to detect the hematological indices with the greatest influence on elevated serum levels of low-density lipoprotein cholesterol.
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Ghiasi Hafezi S, Behkamal B, Rashidmayvan M, Hosseini M, Yadegari M, Ghoflchi S, Mansoori A, Ghamsary M, Ferns G, Saberi MR, Esmaily H, and Ghayour-Mobarhan M
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- Humans, Middle Aged, Male, Female, Adult, Aged, Prospective Studies, Blood Cell Count, Cholesterol, LDL blood, Machine Learning
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Introduction: Elevated levels of low-density lipoprotein-cholesterol (LDL-C) is a significant risk factor for the development of cardiovascular diseases (CVD)s. Furthermore, studies have revealed an association between indices of the complete blood count (CBC) and dyslipidemia. We aimed to investigate the relationship between CBC parameters and serum levels of LDL., Method: In a prospective study involving 9704 participants aged 35-65 years, comprehensive screening was conducted to estimate LDL-C levels and CBC indicators. The association between these biomarkers and high LDL-C (LDL-C≥130 mg/dL (3.25 mmol/L)) was investigated using various analytical methods, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Neural Network (NN), and Support Vector Machine (SVM) methodologies., Result: The present study found that age, hemoglobin (HGB), hematocrit (HCT), platelet count (PLT), lymphocyte (LYM), PLT-LYM ratio (PLR), PLT-High-Density Lipoprotein (HDL) ratio (PHR), HGB-LYM ratio (HLR), red blood cell count (RBC), Neutrophil-HDL ratio (NHR), and PLT-RBC ratio (PRR) were all statistically significant between the two groups (p<0.05). Another important finding was that red cell distribution width (RDW) was a significant predictor for higher LDL levels in women. Furthermore, in men, RDW-PLT ratio (RPR) and PHR were the most important indicators for assessing the elevated LDL levels., Conclusion: The study found that sex increases LDL-C odds in females by 52.9 %, while age and HCT increase it by 4.1 % and 5.5 %, respectively. RPR and PHR were the most influential variables for both genders. Elevated RPR and PHR were negatively correlated with increased LDL levels in men, and RDW levels was a statistically significant factor for women. Moreover, RDW was a significant factor in women for high levels of HDL-C. The study revealed that females have higher LDL-C levels (16 % compared to 14 % of males), with significant differences across variables like age, HGB, HCT, PLT, RLR, PHR, RBC, LYM, NHR, RPR, and key factors like RDW and SII., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
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- 2024
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7. Association of Genotypes of ANGPTL3 with Vitamin D and Calcium Concentration in Cardiovascular Disease.
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Aghasizadeh M, Ghanei M, Ghoflchi S, Asadian-Sohan P, Haghani M, Kazemi T, Esmaily H, Avan A, Ferns GA, Miri-Moghaddam E, and Ghayour-Mobarhan M
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- Humans, Female, Male, Middle Aged, Polymorphism, Single Nucleotide, Adult, Aged, Vitamin D Deficiency genetics, Vitamin D Deficiency blood, Cardiovascular Diseases genetics, Vitamin D blood, Angiopoietin-Like Protein 3, Calcium blood, Calcium metabolism, Genotype, Angiopoietin-like Proteins genetics
- Abstract
One of the leading causes of mortality worldwide is cardiovascular disease, which is influenced by some variables, including calcium and vitamin D. This study aimed to assess the relationship between Angiopoietin-Like 3 (ANGPTL3) gene polymorphisms with vitamin D and calcium levels in cardiovascular disease (CVD) patients. In this research, 1002 people participated. Participants' anthropometric parameters, and FBG, calcium, and vitamin D were assessed. Blood samples were used to extract DNA. Taqman®-based polymerase chain reaction (PCR) was used to conduct genetic analysis for the rs10789117 and rs17458195. Statistical analysis was applied to determine differences across subgroups and the relationship between polymorphisms and disease. Age, body mass index (BMI), fasting Blood Sugar (FBG), phenylalanine ammonia-lyase (PAL), and smoking history were significantly correlated with CVD. Vitamin D was statistically associated with rs10789117 and rs17458195 in non-CVD individuals. In the moderate group, individuals with the C allele in rs10789117 showed a tenfold increase in vitamin D deficiency compared to those with the A allele. However, in rs11207997, individuals with the T allele had 5 to 6 times higher vitamin D deficiency than those with the C allele in all groups. This research demonstrates the relationship between some ANGPTL3 gene polymorphisms and complement levels in CVD patients. It may be concluded that individuals carrying these variants would likely benefit from using vitamin D and calcium supplements to avoid CVD., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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8. Evaluation of vitamin D in the diagnosis of infants with respiratory distress, the clinical value: A systematic review and meta-analysis.
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Boskabadi H, Zakerihamidi M, Mehrad-Majd H, and Ghoflchi S
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Introduction: Respiratory distress (RD) is the most common cause of admission to the Neonatal Intensive Care Unit (NICU). The role of Vitamin D in the development and fortification of fetal pulmonary architecture and the synthesis of surfactants is well-documented. While different serum levels of 25-hydroxyvitamin D (Vit. D) have been studied for their diagnostic significance in RD, there is limited research on how it specifically affects the development of respiratory problems in infants and their mothers. The purpose of the present study is a systematic review and meta-analysis to evaluate the correlation between serum levels of Vit. D in mothers and newborns with RD, and to determine the impact of treating either population on the clinical outcomes of afflicted infants., Methods: A comprehensive literature search was conducted across various databases, including PubMed, ScienceDirect, Cochrane Library, ISI, and Google Scholar, using a combination of keywords such as RD, diagnosis, vitamin D, mothers, infants, vitamin D supplementation, Respiratory distress syndrome(RDS), and Transient Tachypnea of Newborn (TTN). The search was carried out until March 2024.The level of vitamin D in both mothers and their infants was systematically extracted and analyzed to determine the diagnostic efficacy of Vit. D levels. The mean difference (MD) was calculated along with a 95% confidence interval to determine the association between the Vit. D levels in newborns and their mothers and the likelihood of RD, RDS and TTN in infants. To assess potential publication bias, a funnel plot was generated and Egger's regression test was applied, utilizing a random-effects model., Results: Initially a total of 298 relevant articles was retrieved. Among them, 17 articles with a total of 1,582 infants (745 cases and 837 healthy controls) met the criteria as eligible studies. Of these six were prospective cohort studies, four retrospective case-control studies, four randomized controlled trials (RCTs), and three descriptive-analytical studies. The meta-results revealed a significant association between Vit. D levels and risk of RD in infants (MD = 6.240, 95 %CI: 4.840-7.840, P < 0.001) and mothers (MD = 8.053, 95 %CI: 4.920-11.186, P < 0.001). Furthermore, a strong association was found for risk of RDS (MD = 5.493, 95 %CI: 3.356-7.631, P < 0.001) in infants and TTN (MD = 6.672, 95 %CI: 4.072-9.272, P < 0.001), (MD = 8.595, 95%CI: 4.604-12.586, P < 0.001) both in infants and mothers. Administering 50,000 units of vitamin D to mothers (MD = 8.595, 95 %CI: 4.604-12.586, P < 0.001) prior to childbirth was observed to reduce the likelihood of RD in newborns by 64 % (RR = 0.36, 95 %CI: 0.23-0.57, P < 0.001). Supplemental vitamin D provided to infants was associated with several clinical benefits., Conclusion: Our meta-results indicated a significant correlation between serum levels of Vit. D and the risk of RD, RDS and TTN in infants. Prophylactic maternal administration of vitamin D plays a protective role against neonatal RD. Additionally, providing vitamin D to premature infants has shown a significant impact in reducing the incidence of respiratory complications., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
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- 2024
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9. Micronutrients intake and genetic variants associated with premature ovarian insufficiency; MASHAD cohort study.
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Mirinezhad MR, Aghsizadeh M, Ghazizadeh H, Ghoflchi S, Bidary MZ, Naghipour A, Ferns GA, Hamzehloei T, Pasdar A, and Ghayour-Mobarhan M
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- Female, Humans, Cohort Studies, Copper, Iran, Polymorphism, Single Nucleotide, Vitamin D, Minerals, Primary Ovarian Insufficiency genetics, Primary Ovarian Insufficiency epidemiology, Menopause, Premature
- Abstract
Background and Aim: premature ovarian insufficiency (POI) is defined as the menopause before 40 years of age, and its prevalence is reported to be two-fold higher in Iranian women than the average for woman globally. POI is associated with several cardio/cerebrovascular complications as well as an increased overall mortality. Genetic factors, and serum levels of minerals and vitamin D, have been reported to be related to the prevalence of POI. We have investigated the association between some POI -related genotypes with the serum levels of some important micronutrients., Methods: One hundred and seventeen women with POI and 183 controls without any renal, hepatic, and thyroid abnormalities were recruited as part of the MASHAD study. Demographic and anthropometric features were recorded and blood samples were collected and processed. DNA was extracted from the buffy coat of blood samples from all participants and 8 POI-related single nucleotide polymorphisms (SNPs) were determined using ASO-PCR or Tetra ARMS-PCR. Serum minerals and vitamin D concentrations were measured using routine methods., Results: In women with POI, serum copper, phosphate, and calcium were significantly different for those with rs244715, rs16991615, and rs4806660 genotypes, respectively. In our control population, significant differences were also found in serum copper concentrations between different genotypes of rs4806660, rs7246479, rs1046089, and rs2303369. After adjusting for all confounding factors, the women with POI carrying TC genotype (rs4806660) had a lower risk to have serum copper levels < 80 (µg/dL) than those carrying a TT genotype. Furthermore, women with POI carrying GG genotype (rs244715) had a 6-fold higher risk to have serum copper levels > 155 than those carrying AA genotype., Conclusion: The C and G alleles of the rs4806660 and rs244715 polymorphisms respectively are independently associated with serum copper in women with POI. Further studies are necessary to investigate the association of serum copper and other micronutrients in women and other POI -related polymorphisms., (© 2024. The Author(s).)
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- 2024
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10. Platelet distribution widths and white blood cell are associated with cardiovascular diseases: data mining approaches.
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Poudineh M, Mansoori A, Sadooghi Rad E, Hosseini ZS, Salmani Izadi F, Hoseinpour M, Mahmoudi Zo M, Ghoflchi S, Tanbakuchi D, Nazar E, Ferns G, Effati S, Esmaily H, and Ghayour-Mobarhan M
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Objective: To investigate the association between cardiovascular diseases (CVDs) and haematologic factors in a cohort of Iranian adults., Method: For a total population of 9,704 aged 35 to 65, a prospective study was designed. Haematologic factors and demographic characteristics (such as gender, age, and smoking status) were completed for all participants. The association between haematologic factors and CVDs was assessed through logistic regression (LR) analysis, decision tree (DT), and bootstrap forest (BF)., Results: Almost all of the included factors were significantly associated with CVD ( p <.001). Among the included factors, were: age, white blood cell (WBC), and platelet distribution width (PDW) had the strongest correlation with the development of CVD. For unit OR interpretation, WBC has been represented as the most remarkable risk factor for CVD (OR: 1.22 (CI 95% (1.18, 1.27))). Also, age is associated with an increase in the odds of CVD + occurrence (OR: 1.12 (CI 95% (1.11, 1.13))). Moreover, males are times more likely to develop CVD than females (OR: 1.39 (CI 95% (1.22, 1.58))). In DT model, age is the best classifier factor in CVD development, followed by WBC and PDW. Furthermore, based on the BF algorithm, the most crucial factors correlated with CVD are age, WBC, PDW, sex, and smoking status., Conclusion: The obtained result from LR, DT, and BF models confirmed that age, WBC, and PDW are the most crucial factors for the development of CVD.
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- 2023
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11. Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2.
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Ghazizadeh H, Shakour N, Ghoflchi S, Mansoori A, Saberi-Karimiam M, Rashidmayvan M, Ferns G, Esmaily H, and Ghayour-Mobarhan M
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- Animals, Humans, Adult, Middle Aged, Aged, SARS-CoV-2, Algorithms, Creatine Kinase, Data Mining, Mammals, COVID-19, Diabetes Mellitus, Type 2
- Abstract
Background and Objective: Corona 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 Method: This 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., Result: Data 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., Conclusion: There 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., (© 2023. The Author(s).)
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- 2023
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