Chenxi Huang
Associate Research ScientistCards
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Research
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2026
Ocular Symptoms in Long COVID: A Cross-Sectional Study
Kaleem S, Sawano M, Arun A, Warner F, Zhou T, Huang C, Bhattacharjee B, Lu Y, Iwasaki A, Nwanyanwu K, Ahmed I, Krumholz H. Ocular Symptoms in Long COVID: A Cross-Sectional Study. Clinical Ophthalmology 2026, Volume 20 DOI: 10.2147/OPTH.S565596.Peer-Reviewed Original ResearchOcular Symptoms in Long COVID: A Cross-Sectional Study
Kaleem S, Sawano M, Arun A, Warner F, Zhou T, Huang C, Bhattacharjee B, Lu Y, Iwasaki A, Nwanyanwu K, Ahmed I, Krumholz H. Ocular Symptoms in Long COVID: A Cross-Sectional Study. Clinical Ophthalmology 2026, 20: 565596. PMID: 41907807, PMCID: PMC13024366, DOI: 10.2147/opth.s565596.Peer-Reviewed Original ResearchOcular symptomsHealth conditionsPre-pandemic health conditionsPoor health statusInterquartile rangeCross-sectional studyCross-sectional analysisBonferroni-adjusted p-valueHealth profileHealth scoresLoss of visionHealth statusHigher RatesHousing stabilitySocioeconomic characteristicsMyalgic encephalomyelitis/chronic fatigue syndromeDry eyeFinancial difficultiesFatigue syndromeCategorical variablesCOVID-19 infectionSocioeconomic challengesCOVID symptomsSevere phenotypeParticipantsPrivacy-aware multi-agent deep reinforcement learning for ethical coordinated control in smart regional grids
Zhang K, Kong L, Zhang K, Huang C, Kuang Y, Huang X, Feng R. Privacy-aware multi-agent deep reinforcement learning for ethical coordinated control in smart regional grids. Array 2026, 29: 100585. DOI: 10.1016/j.array.2025.100585.Peer-Reviewed Original ResearchDeep reinforcement learningReinforcement learningMulti-agent deep reinforcement learningDeep reinforcement learning mechanismDecision-making moduleDiverse operating scenariosPrivacy-awarePrivacy-preservingSecurity deploymentExtensive simulationsAI deploymentSmart gridMulti-agentDynamic load responsePower flow controlMulti-objective optimizationGrid componentsOverload preventionTraditional control strategiesInfrastructure settingsMicrogrid layerRegional power systemVoltage stabilityUncertain conditionsGrid controlInvestigating Sources of Underestimated Acute Kidney Injury Risk After PCI A Hypothesis-Generating Chart Review
Murugiah K, Admassu T, Annapureddy A, Sawano M, Kim N, Krumholz H, Huang C. Investigating Sources of Underestimated Acute Kidney Injury Risk After PCI A Hypothesis-Generating Chart Review. JACC Advances 2026, 5: 102512. PMID: 41485324, PMCID: PMC12809401, DOI: 10.1016/j.jacadv.2025.102512.Peer-Reviewed Original Research
2025
Changes in Cardiovascular Risk Factors in U.S. Adults Before and After the COVID-19 Pandemic
Yang H, Huang C, Sawano M, Herrin J, Faridi K, Essa M, Malik D, Li Z, Krumholz H, Lu Y. Changes in Cardiovascular Risk Factors in U.S. Adults Before and After the COVID-19 Pandemic. JACC Advances 2025, 4: 102352. PMID: 41240511, PMCID: PMC12664018, DOI: 10.1016/j.jacadv.2025.102352.Peer-Reviewed Original ResearchReply Aspirin for Secondary Prevention: Are Patients Getting Wiser Than Their Physicians?
Murugiah K, See C, Huang C. Reply Aspirin for Secondary Prevention: Are Patients Getting Wiser Than Their Physicians? JACC Advances 2025, 4: 102309. PMID: 41167122, PMCID: PMC12613007, DOI: 10.1016/j.jacadv.2025.102309.Commentaries, Editorials and LettersMoving Beyond the Model Our Perspective on Meaningful AI Research in Cardiovascular Care
Jain S, Mortazavi B, Chan You S, Yao X, Lam C, Elias P, Poterucha T, Avram R, Tison G, Pirruccello J, Huang C, Wiens J, Schwamm L, Ruan X, Dunn J, Luo Y, Spatz E, Krumholz H. Moving Beyond the Model Our Perspective on Meaningful AI Research in Cardiovascular Care. Journal Of The American College Of Cardiology 2025, 86: 691-695. PMID: 40903130, DOI: 10.1016/j.jacc.2025.07.040.Commentaries, Editorials and LettersAssociation Between Neighborhood-Level Social Vulnerability and Hypertension Outcomes
Brush J, Kim C, Liu Y, Xin X, Huang C, Lundy I, Asher J, Sawano M, Young P, McPadden J, Anderson M, Burrows J, Krumholz H, Lu Y. Association Between Neighborhood-Level Social Vulnerability and Hypertension Outcomes. JACC Advances 2025, 4: 101912. PMID: 40627892, PMCID: PMC12272890, DOI: 10.1016/j.jacadv.2025.101912.Peer-Reviewed Original ResearchNeighborhood-level social vulnerabilitySocial Vulnerability IndexAssociated with hypertension prevalenceDiverse cohortSocial Vulnerability Index quartilesElectronic health dataIncident myocardial infarctionBaseline body mass indexDiverse cohort of patientsSocial vulnerabilityBody mass indexPoor BP controlCardiovascular outcomesHypertension prevalenceBlood pressureHypertension outcomesRacial disparitiesHealth dataHypertension managementAssociated with adverse cardiovascular outcomesLongitudinal cohortMass indexWhite raceBlack raceComposite endpointDelayed Hypertension Diagnosis and Its Association With Cardiovascular Treatment and Outcomes
Lu Y, Brush J, Kim C, Liu Y, Xin X, Huang C, Sawano M, Young P, McPadden J, Anderson M, Burrows J, Asher J, Krumholz H. Delayed Hypertension Diagnosis and Its Association With Cardiovascular Treatment and Outcomes. JAMA Network Open 2025, 8: e2520498. PMID: 40658418, PMCID: PMC12261005, DOI: 10.1001/jamanetworkopen.2025.20498.Peer-Reviewed Original ResearchConceptsElectronic health recordsHypertension diagnosisIntegrated health care systemHazard ratioNon-Hispanic black raceAntihypertensive medication prescribingMedication prescription ratesClinical diagnosis of hypertensionHealth care systemCardiovascular outcomesRisk of myocardial infarctionCox proportional hazards regression modelsAssociated with younger ageOutpatient blood pressureBlood pressureCardiovascular riskProportional hazards regression modelsAntihypertensive medication prescriptionsDiagnosis of hypertensionMultivariate Cox proportional hazards regression modelsAssociated with delayHazards regression modelsMedication prescribingHealth recordsNon-HispanicTowards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention
Hurley N, Desai N, Dhruva S, Khera R, Schulz W, Huang C, Curtis J, Masoudi F, Rumsfeld J, Negahban S, Krumholz H, Mortazavi B. Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention. PLOS Digital Health 2025, 4: e0000906. PMID: 40560847, PMCID: PMC12193038, DOI: 10.1371/journal.pdig.0000906.Peer-Reviewed Original ResearchNational Cardiovascular Data RegistryPercutaneous coronary interventionPrescription of medicationsRisk predictionArea under the receiver operating characteristic curveRisk prediction modelTreatment decision makingIndividualized carePatient dischargeData registryRisk estimatesRisk modelPrimary outcomeIndex admissionRisk informationModerate riskCoronary interventionPercutaneous coronary intervention proceduresRisk factorsPatient characteristicsIn-hospital bleeding eventsHigh riskLow riskMedical historyRegistry
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