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Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score(AICVD)

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Family Medicine and Community Health 2024年第S01期12卷 20-33页

作者： Shiv Kumar Jalepalli Prashant Gupta Andre L A J Dekker Inigo Bermejo sujoy kar Apollo Hospitals HyderabadTelanganaIndia Azure Microsoft Research IndiaBengaluruIndia Department of Radiation Oncology(Maastro) Maastricht UniversityMaastrichtNetherlands

Objective Cardiovascular diseases(CVD)are one of the most prevalent diseases in India amounting for nearly 30%of total deaths.A dearth of research on CVD risk scores in Indian population,limited performance of conventional risk scores and inability to reproduce the initial accuracies in randomised clinical trials has led to this study on large-scale patient *** objective is to develop an Artificial Intelligence-based Risk Score(AICVD)to predict CVD event(eg,acute myocardial infarction/acute coronary syndrome)in the next 10 years and compare the model with the Framingham Heart Risk Score(FHRS)and *** Our study included 31599 participants aged 18–91 years from 2009 to 2018 in six Apollo Hospitals in India.A multistep risk factors selection process using Spearman correlation coefficient and propensity score matching yielded 21 risk factors.A deep learning hazards model was built on risk factors to predict event occurrence(classification)and time to event(hazards model)using multilayered neural ***,the model was validated with independent retrospective cohorts of participants from India and the Netherlands and compared with FHRS and *** The deep learning hazards model had a good performance(area under the curve(AUC)0.853).Validation and comparative results showed AUCs between 0.84 and 0.92 with better positive likelihood ratio(AICVD−6.16 to FHRS−2.24 and QRisk3−1.16)and accuracy(AICVD−80.15%to FHRS 59.71%and QRisk351.57%).In the Netherlands cohort,AICVD also outperformed the Framingham Heart Risk Model(AUC−0.737 vs 0.707).Conclusions This study concludes that the novel AI-based CVD Risk Score has a higher predictive performance for cardiac events than conventional risk scores in Indian population.

关键词： AICVD Cardiovascular acute

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Role of CYP2E1 gene polymorphisms association with hepatitis risk in Northeast India

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World Journal of Gastroenterology 2010年第38期16卷 4800-4808页

作者： Manab Deka Moumita Bose Bharati Baruah Purabi Deka Bose Subhash Medhi sujoy Bose Anjan Saikia Premashish kar Subhash Medhi sujoy Bose Department of Biotechnology Gauhati University Department of Medicine Maulana Azad Medical College Medical and Gastroenterology Unit Central Hospital N.F.Railway MaligaonGuwahati-781011India

AIM:To investigate hepatitis virus, genetic and environmental factors, and their interactions in predisposing patients to liver diseases in Northeast India. METHODS:A total of 104 jaundice patients and 124 community controls were included. Serological analysis was performed by routine enzyme-linked immunosorbent assay, and nucleic acid testing for hepatitis viruses was done by polymerase chain reaction (PCR), followed by PCR direct sequencing for viral genotyping. Cytochrome P450 2E1 (CYP2E1) polymorphism was studied by PCR-restriction fragment length polymorphism. Nitrite and volatile nitrosamines in indigenous foods consumed routinely by the Northeast Indian ethnic population were estimated by Griess’s reagent and GC-MS, ***: Hepatitis A virus (HAV) infection was predominantly prevalent (36.5%) in our cohort, followed by hepatitis B virus (HBV), hepatitis E virus (HEV) andhepatitis C virus. HBV genotype D and HEV genotype 1 were the most dominant. CYP2E1 c1/c2 genotype frequency was comparatively higher in alcoholic (P<0.0001,OR =30.5) and cryptogenic (P=0.014, OR=8.714) patients, and was associated with significantly higher hepatitis risk (P=0.0.007,OR=6.489). Mutant C allele of Cyp2E1 DraⅠ frequency was comparatively higher in HAV (P=0.006), alcoholic (P =0.003) and cryptogenic (P=0.014) cases, and was associated with overall hepatitis risk (P=0.026, OR=5.083). Indigenous foods, Gundruk, Kharoli, betel leaf and nuts were found to have the highest nitrite content. CONCLUSION: Apart from viral factors, CYP2E1 polymorphism might be associated with increased risk of liver diseases in Northeast India. Indigenous foods that contain nitrite and nitrosamine might be an associated risk factor.

关键词： Viral hepatitis Cytochrome P450 2E1 Gene polymorphism Nitrites Nitrosamines

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