Andrew Chang, MD, PhD
Assistant ProfessorCards
About
Research
Publications
Featured Publications
Aging Hearts in a Hotter, More Turbulent World: The Impacts of Climate Change on the Cardiovascular Health of Older Adults
Chang A, Tan A, Nadeau K, Odden M. Aging Hearts in a Hotter, More Turbulent World: The Impacts of Climate Change on the Cardiovascular Health of Older Adults. Current Cardiology Reports 2022, 24: 749-760. PMID: 35438387, PMCID: PMC9017408, DOI: 10.1007/s11886-022-01693-6.Peer-Reviewed Original ResearchConceptsOlder adultsDisproportionate health burdenLow socioeconomic statusAging populationPolicy-level interventionsEthnic minority groupsCardiovascular risk factorsMultiple environmental hazardsSocioeconomic statusCardiovascular healthHeart healthHealth burdenRisk factorsCardiovascular wellbeingCardiovascular diseaseReviewClimate changeMinority groupsPhysiological vulnerabilityIntensifying air pollutionAdultsHealthImpacts of climate changeData sourcesPoor outcomeAir pollutionMortality Along the Rheumatic Heart Disease Cascade of Care in Uganda
Chang A, Barry M, Bendavid E, Watkins D, Beaton A, Lwabi P, Ssinabulya I, Longenecker C, Okello E. Mortality Along the Rheumatic Heart Disease Cascade of Care in Uganda. Circulation Cardiovascular Quality And Outcomes 2022, 15: e008445. PMID: 35041475, DOI: 10.1161/circoutcomes.121.008445.Peer-Reviewed Original ResearchThe Need to Expand the Framework of Environmental Determinants of Cardiovascular Health From Climate Change to Planetary Health
Chang A, Barry M, Harrington R. The Need to Expand the Framework of Environmental Determinants of Cardiovascular Health From Climate Change to Planetary Health. Circulation 2021, 143: 2029-2031. PMID: 34029138, DOI: 10.1161/circulationaha.120.051892.Peer-Reviewed Original ResearchOutcomes and Care Quality Metrics for Women of Reproductive Age Living With Rheumatic Heart Disease in Uganda
Chang A, Nabbaale J, Okello E, Ssinabulya I, Barry M, Beaton A, Webel A, Longenecker C. Outcomes and Care Quality Metrics for Women of Reproductive Age Living With Rheumatic Heart Disease in Uganda. Journal Of The American Heart Association 2020, 9: e015562. PMID: 32295465, PMCID: PMC7428530, DOI: 10.1161/jaha.119.015562.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAnticoagulantsComorbidityFemaleHealthcare DisparitiesHumansMaleMedication AdherenceOutcome and Process Assessment, Health CareQuality Indicators, Health CareRegistriesReproductive HealthRetention in CareRetrospective StudiesRheumatic Heart DiseaseRisk AssessmentRisk FactorsSex FactorsTime FactorsTreatment OutcomeUgandaWomen's HealthYoung AdultConceptsRheumatic heart diseaseWomen of reproductive ageHeart diseaseReproductive ageClinical rheumatic heart diseaseRheumatic Heart Disease RegistryAdherence to guideline-based therapyNew York Heart Association class III-IV heart failurePrescription of warfarinRisk of cardiovascular complicationsCox proportional hazards modelsProportional hazards modelRetrospective cohort studyGuideline-based therapyAdherence ratesDisease RegistryCohort studyAnticoagulant prescriptionSub-Saharan AfricaAnticoagulant useCardiovascular complicationsClinical outcomesCompare comorbiditiesHazards modelHeart failureMotivations of women in Uganda living with rheumatic heart disease: A mixed methods study of experiences in stigma, childbearing, anticoagulation, and contraception
Chang A, Nabbaale J, Nalubwama H, Okello E, Ssinabulya I, Longenecker C, Webel A. Motivations of women in Uganda living with rheumatic heart disease: A mixed methods study of experiences in stigma, childbearing, anticoagulation, and contraception. PLOS ONE 2018, 13: e0194030. PMID: 29590159, PMCID: PMC5874006, DOI: 10.1371/journal.pone.0194030.Peer-Reviewed Original ResearchConceptsWomen of childbearing ageRheumatic heart diseaseFocus groupsLack of health system resourcesLimited health literacyQualitative descriptive methodologyHealth system resourcesHeart diseaseMixed methods studyMiddle-income countriesMale partnersChildbearing ageHealth literacyPatient empowermentWomen of reproductive ageAbandonment of patientsHealth programsPremature mortalitySide effects of contraceptivesDescriptive methodologyConsiderable stigmaIncreased risk of cardiovascular complicationsQualitative studyRisk of cardiovascular complicationsLMICsThe impact of novel coronavirus COVID‐19 on noncommunicable disease patients and health systems: a review
Chang A, Cullen M, Harrington R, Barry M. The impact of novel coronavirus COVID‐19 on noncommunicable disease patients and health systems: a review. Journal Of Internal Medicine 2020, 289: 450-462. PMID: 33020988, PMCID: PMC7675448, DOI: 10.1111/joim.13184.Peer-Reviewed Original ResearchConceptsHealth system factorsNoncommunicable disease patientsNoncommunicable diseasesHealth systemLevels of health systemsSystemic factorsCare of patientsDisease-specific factorsPublic health measuresCare providersNCD patientsDisproportionate burdenHealth measuresCOVID-19Society statementEndocrine disordersPatientsCareLong-term effectsDisease patientsHealthDiseasePandemic disruptionCoronavirus diseaseProvidersCost-effectiveness of Canakinumab for Prevention of Recurrent Cardiovascular Events
Sehested T, Bjerre J, Ku S, Chang A, Jahansouz A, Owens D, Hlatky M, Goldhaber-Fiebert J. Cost-effectiveness of Canakinumab for Prevention of Recurrent Cardiovascular Events. JAMA Cardiology 2019, 4: 128-135. PMID: 30649147, PMCID: PMC6439626, DOI: 10.1001/jamacardio.2018.4566.Peer-Reviewed Original ResearchConceptsQuality-adjusted life yearsCost-effectiveness ratioIncremental cost-effectiveness ratioRecurrent cardiovascular eventsHealth-related quality of lifeStandard of careCanakinumab Anti-inflammatory Thrombosis Outcomes StudyHs-CRP levelsLung cancer incidenceHealth-related qualityMyocardial infarctionCardiovascular eventsRate of recurrent MIHealth care sector perspectiveReduced all-cause mortalityQuality of lifeAll-cause mortalityCost-effectiveUS health care sector perspectiveHs-CRPCancer incidenceRisk of recurrent cardiovascular eventsMain OutcomesHigh-sensitivity C-reactive proteinSubstantial price reductions
2024
Pre-intervention wait time and survival in people with rheumatic heart disease in Uganda
Doh C, An C, Chang A, Rwebembera J, Mwambu T, Beaton A, Nakagaayi D, Ruda Vega P, Sable C, Longenecker C, Lwabi P. Pre-intervention wait time and survival in people with rheumatic heart disease in Uganda. The Annals Of Thoracic Surgery 2024 PMID: 38908768, DOI: 10.1016/j.athoracsur.2024.06.009.Peer-Reviewed Original ResearchRheumatic heart diseaseSurgical interventionRisk factors associated with timeClinical rheumatic heart diseaseFactors associated with timeAtrial fibrillationNew York Heart Association functional class III/IVYears of follow-upHeart diseaseCox proportional hazards modelsHistory of infective endocarditisHistory of atrial fibrillationMultivariate Cox proportional hazards modelFunctional class III/IVPre-interventionRight ventricular dysfunctionProportional hazards modelAssociated with increased probabilityProbability of deathEducation levelKaplan-Meier estimatesSurgical burdenPreoperative mortalityValve surgeryClass III/IVATRIAL FIBRILLATION AND RHEUMATIC HEART DISEASE IN UGANDA: AN ANALYSIS OF OUTCOMES AND QUALITY CARE METRICS
Opara C, Lan R, Rwebembera J, Okello E, Watkins D, Chang A, Longenecker C. ATRIAL FIBRILLATION AND RHEUMATIC HEART DISEASE IN UGANDA: AN ANALYSIS OF OUTCOMES AND QUALITY CARE METRICS. Journal Of The American College Of Cardiology 2024, 83: 2461. DOI: 10.1016/s0735-1097(24)04451-6.Peer-Reviewed Original ResearchInterviewer biases in medical survey data: The example of blood pressure measurements
Geldsetzer P, Chang A, Meijer E, Sudharsanan N, Charu V, Kramlinger P, Haarburger R. Interviewer biases in medical survey data: The example of blood pressure measurements. PNAS Nexus 2024, 3: pgae109. PMID: 38525305, PMCID: PMC10959064, DOI: 10.1093/pnasnexus/pgae109.Peer-Reviewed Original ResearchBlood pressure measurementsHealth SurveyGlobal health indicatorsMiddle-income countriesInterviewer effectsHypertension prevalenceBlood pressureHealth agenciesLinear mixed modelsHealth indicatorsPhysical measurementsPrevalence estimatesSystolic blood pressurePressure measurementsGlobal SouthHealthInterviewsSubdistrict levelIndividual factorsSurvey dataMedical survey dataInterview techniquesMixed modelsRandom effectsProportion of variation