2024
Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.
Shimbo D, Shah R, Abdalla M, Agarwal R, Ahmad F, Anaya G, Attia Z, Bull S, Chang A, Commodore-Mensah Y, Ferdinand K, Kawamoto K, Khera R, Leopold J, Luo J, Makhni S, Mortazavi B, Oh Y, Savage L, Spatz E, Stergiou G, Turakhia M, Whelton P, Yancy C, Iturriaga E. Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report. Hypertension 2024 PMID: 39011653, DOI: 10.1161/hypertensionaha.124.22095.Peer-Reviewed Original ResearchMachine learning toolsManagement of hypertensionNational HeartArtificial intelligenceBlood InstitutePredictive of incident hypertensionHealth care systemImplementation challengesDiverse group of stakeholdersAI toolsPopulation healthMeasurement of blood pressureCare systemHealth careIncident hypertensionHypertension riskEra of artificial intelligenceHypertension diagnosisLearning toolsManaging hypertensionHypertension-related complicationsAntihypertensive medicationsHealthPublic healthGroups of stakeholders
2020
Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses
O'Neill KM, Jean RA, Gross CP, Becher RD, Khera R, Elizondo JV, Nasir K. Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses. Journal Of Surgical Research 2020, 256: 1-12. PMID: 32663705, DOI: 10.1016/j.jss.2020.05.095.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChildChild, PreschoolCost of IllnessCross-Sectional StudiesFamilyFemaleFinancial StressHealth ExpendituresHospitalizationHumansInfantInfant, NewbornInsurance, HealthMaleMiddle AgedPrescription DrugsRetrospective StudiesRisk FactorsSocioeconomic FactorsUnited StatesWounds and InjuriesYoung AdultConceptsTraumatic injuryOOP expensesPocket health expensesExcess financial burdenHealth expensesInpatient costsCatastrophic medical expensesFinancial burdenMultivariable logistic regression analysisMedical expensesHealth care factorsCostly medical conditionsCross-sectional studyMedical Expenditure Panel SurveyLogistic regression analysisPrescription drug costsFinancial hardshipHealth care systemFamily membersTrauma-related disordersPrimary outcomeCare factorsEmergency roomRisk factorsDrug costs
2017
Comparison of Readmission Rates After Acute Myocardial Infarction in 3 Patient Age Groups (18 to 44, 45 to 64, and ≥65 Years) in the United States
Khera R, Jain S, Pandey A, Agusala V, Kumbhani DJ, Das SR, Berry JD, de Lemos JA, Girotra S. Comparison of Readmission Rates After Acute Myocardial Infarction in 3 Patient Age Groups (18 to 44, 45 to 64, and ≥65 Years) in the United States. The American Journal Of Cardiology 2017, 120: 1761-1767. PMID: 28865892, PMCID: PMC5825232, DOI: 10.1016/j.amjcard.2017.07.081.Peer-Reviewed Original ResearchConceptsYounger age groupsLow-income patientsReadmission ratesAge groupsHigh hospitalization burdenIndex AMI hospitalizationNationwide Readmissions DatabaseRisk of readmissionPatient age groupsAcute myocardial infarctionVulnerable patient groupSignificant resource utilizationMultivariable hierarchical modelsYears of ageHealth care resourcesHealth care systemReadmission periodHospitalization burdenPayer databaseAMI survivorsPost-AMIPatient groupInpatient hospitalizationMyocardial infarctionReadmission