2024
An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
Njei B, Osta E, Njei N, Al-Ajlouni Y, Lim J. An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis. Scientific Reports 2024, 14: 8589. PMID: 38615137, PMCID: PMC11016071, DOI: 10.1038/s41598-024-59183-4.Peer-Reviewed Original ResearchConceptsNational Health and Nutrition Examination SurveyRisk of progression to cirrhosisClinical risk indexHealth and Nutrition Examination SurveyControlled attenuation parameter valuesNovel therapeutic optionsLiver stiffness measurementProgression to cirrhosisAspartate aminotransferase levelsNutrition Examination SurveyResource-limited settingsFIB-4Fibrosis scorePlatelet countAminotransferase levelsTherapeutic optionsWaist circumferenceClinically applicable modelExamination SurveyNonalcoholic steatohepatitisFAST scoreEarly identificationElastography measurementsStiffness measurementPatients
2023
Clinical and Histopathological Discoveries in Patients with Hepatic Injury and Cholangiopathy Who Have Died of COVID-19: Insights and Opportunities for Intervention
Lim J, Njei B. Clinical and Histopathological Discoveries in Patients with Hepatic Injury and Cholangiopathy Who Have Died of COVID-19: Insights and Opportunities for Intervention. Hepatic Medicine Evidence And Research 2023, 15: 151-164. PMID: 37814605, PMCID: PMC10560482, DOI: 10.2147/hmer.s385133.Peer-Reviewed Original ResearchAcute liver injuryCOVID-19 patientsPre-existing chronic liver diseaseCOVID-19Chronic liver diseaseSARS-CoV-2Immune dysregulationSupportive careBiliary dysfunctionHepatic injuryLiver injuryVascular changesLiver diseaseClinical manifestationsSignificant complicationsLong-term effectsDiagnostic criteriaTherapeutic targetCholangiopathyDiagnostic advancementsPatientsGlobal healthCOVID-19 pandemicInjuryDiverse manifestations