Zhenqiu Lin, PhD
Senior Research ScientistCards
About
Research
Publications
Featured Publications
Disparities in Excess Mortality Associated with COVID-19 — United States, 2020
Rossen LM, Ahmad FB, Anderson RN, Branum AM, Du C, Krumholz HM, Li SX, Lin Z, Marshall A, Sutton PD, Faust JS. Disparities in Excess Mortality Associated with COVID-19 — United States, 2020. MMWR Morbidity And Mortality Weekly Report 2021, 70: 1114-1119. PMID: 34411075, PMCID: PMC8375709, DOI: 10.15585/mmwr.mm7033a2.Peer-Reviewed Original ResearchConceptsMortality incidence ratesIncidence rateExcess mortalityAge groupsHighest excess mortality ratesExcess Mortality AssociatedGreater excess mortalityExcess mortality ratesAI/AN populationsNon-Hispanic American IndianNon-Hispanic blacksNational Vital Statistics SystemCOVID-19 pandemicPublic health messagingNon-Hispanic white populationRace/ethnicityVital Statistics SystemMortality AssociatedLack of adjustmentMortality rateExcess deathsAN populationsEthnic groupsHealth messagingHispanic personsAll-Cause Excess Mortality and COVID-19–Related Mortality Among US Adults Aged 25-44 Years, March-July 2020
Faust JS, Krumholz HM, Du C, Mayes KD, Lin Z, Gilman C, Walensky RP. All-Cause Excess Mortality and COVID-19–Related Mortality Among US Adults Aged 25-44 Years, March-July 2020. JAMA 2021, 325: 785-787. PMID: 33325994, PMCID: PMC7745134, DOI: 10.1001/jama.2020.24243.Peer-Reviewed Original ResearchHospital-Readmission Risk — Isolating Hospital Effects from Patient Effects
Krumholz HM, Wang K, Lin Z, Dharmarajan K, Horwitz LI, Ross JS, Drye EE, Bernheim SM, Normand ST. Hospital-Readmission Risk — Isolating Hospital Effects from Patient Effects. New England Journal Of Medicine 2017, 377: 1055-1064. PMID: 28902587, PMCID: PMC5671772, DOI: 10.1056/nejmsa1702321.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesReadmission ratesObserved readmission ratesSimilar diagnosesHospital effectsDifferent hospitalsHospital readmission performanceRate of readmissionHospital readmission ratesLower readmission ratesStudy sampleYears of ageSignificant differencesMultiple admissionsReadmission outcomesOnly significant differencePatient effectsSame patientMedicare recipientsPatientsReadmission performanceRisk-standardized hospital readmission ratesHospitalHospital qualityQuartileAssociation of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge
Dharmarajan K, Wang Y, Lin Z, Normand ST, Ross JS, Horwitz LI, Desai NR, Suter LG, Drye EE, Bernheim SM, Krumholz HM. Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge. JAMA 2017, 318: 270-278. PMID: 28719692, PMCID: PMC5817448, DOI: 10.1001/jama.2017.8444.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesRisk-adjusted mortality ratesAcute myocardial infarctionHeart failureReadmission ratesMortality rateMyocardial infarctionMedicare feeService beneficiariesHospital readmission ratesMean hospitalHospital mortalityPostdischarge mortalityHospital dischargeHospital readmissionRetrospective studyAffordable Care ActReadmission reductionMAIN OUTCOMEPneumoniaHospitalSecondary analysisWeighted Pearson correlation coefficientMortalityCare ActAccounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates
Bernheim SM, Parzynski CS, Horwitz L, Lin Z, Araas MJ, Ross JS, Drye EE, Suter LG, Normand SL, Krumholz HM. Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates. Health Affairs 2016, 35: 1461-1470. PMID: 27503972, PMCID: PMC7664840, DOI: 10.1377/hlthaff.2015.0394.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramPatients' socioeconomic statusMedicare's Hospital Readmissions Reduction ProgramLow socioeconomic statusReadmission ratesSocioeconomic statusRisk-standardized readmission ratesHospital readmission ratesReadmissions Reduction ProgramMedicaid Services methodologyReadmission measuresHospital resultsPatientsHospitalSuch hospitalsPayment penaltiesReduction programsStatusCurrent CentersLower proportionLarge proportionPercentAdjustmentProportionRelationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL. Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2013, 309: 587-593. PMID: 23403683, PMCID: PMC3621028, DOI: 10.1001/jama.2013.333.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital risk-standardized mortality ratesHeart failureMyocardial infarctionHospital characteristicsMortality rateReadmission ratesProportion of hospitalsHospital readmissionMedicare feePneumoniaInfarctionService beneficiariesHospitalPatientsMedicaid ServicesHospital performanceSubgroupsFailureCauseReadmissionSignificant negative linear relationshipAn Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2008, 1: 29-37. PMID: 20031785, DOI: 10.1161/circoutcomes.108.802686.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCause readmission rateReadmission ratesHeart failureHospital-level readmission ratesAdjusted readmission ratesAdministrative Claims MeasureUnadjusted readmission ratesHeart failure patientsHospital risk-standardized readmission ratesMedical record dataProfiling Hospital PerformanceHierarchical logistic regression modelsUse of MedicareMedical record modelNational Quality ForumLogistic regression modelsCause readmissionClaims-based modelsHospital dischargeFailure patientsC-statisticPreventable eventsPatientsQuality Forum
2024
Procedural Volume and Outcomes with Atrial Fibrillation Ablation: A Report from the NCDR AFib Ablation Registry
Kattel S, Tan Z, Lin Z, Mszar R, Sanders P, Zeitler E, Zei P, Bunch T, Mansour M, Akar J, Curtis J, Friedman D, Freeman J. Procedural Volume and Outcomes with Atrial Fibrillation Ablation: A Report from the NCDR AFib Ablation Registry. Heart Rhythm 2024 PMID: 38960302, DOI: 10.1016/j.hrthm.2024.06.056.Peer-Reviewed Original ResearchProcedure volumeProcedural successVolume outcome relationshipAblation RegistryPhysician procedure volumeAtrial fibrillationPhysician volumeFirst-time AF ablationU.S. hospitalsNational cohortLikelihood of procedural successHospital volumeAcute procedural successAtrial fibrillation ablationPhysiciansHospitalAF ablationCompare outcomesNCDRRegistryAdverse eventsOutcome relationshipAnnual volumeMAE rateOutcomesProcedure Volume and Outcomes With WATCHMAN Left Atrial Appendage Occlusion
Friedman D, Du C, Zimmerman S, Tan Z, Lin Z, Vemulapalli S, Kosinski A, Piccini J, Pereira L, Minges K, Faridi K, Masoudi F, Curtis J, Freeman J. Procedure Volume and Outcomes With WATCHMAN Left Atrial Appendage Occlusion. Circulation Cardiovascular Interventions 2024, 17: e013466. PMID: 38889251, PMCID: PMC11189610, DOI: 10.1161/circinterventions.123.013466.Peer-Reviewed Original ResearchConceptsVolume-outcome relationshipLikelihood of procedural successLeft atrial appendage occlusionProcedural successProcedure volumeAppendage occlusionNational Cardiovascular Data Registry LAAO RegistryVolume quartilesLeft atrial appendage occlusion devicesThree-level hierarchical generalized linear modelsMinimum volume thresholdsWatchman FLX deviceProcedural success rateHierarchical generalized linear modelsAssociated with outcomePhysician volumeWATCHMAN procedureFLX deviceOcclusion deviceVolume thresholdCardiovascular proceduresPhysiciansHospitalNational analysisSuccess rateCalculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step
Gettel C, Bagshaw K, Qin L, Lin Z, Rothenberg E, Omotosho P, Goutos D, Herrin J, Suter L, Schreiber M, Fleisher L, Myers R, Spivack S, Venkatesh A. Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step. JAMA Network Open 2024, 7: e2411933. PMID: 38753326, PMCID: PMC11099678, DOI: 10.1001/jamanetworkopen.2024.11933.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesCross-sectional studyHospital characteristicsHigher star ratingsStar ratingsOverall hospital qualityLowest-performing hospitalsOverall star ratingQuality star ratingsHospital star ratingsStar Ratings scoresHospital qualityHospital performanceStratified hospitalsMedicaid ServicesMain OutcomesFace validityPeer groupPeer group approachPrimary outcomePeer comparisonHospitalRating scoresPeerMeasurement group
Academic Achievements & Community Involvement
News
News
- July 02, 2024
Yale Faculty Members Named to JACC Editorial Board
- April 03, 2024
Assessing Equity Measures in Hospital Readmissions
- April 17, 2023
Adjust For Social Risk Factors in a Measure of Quality? It Depends, Says New Study
- December 18, 2022
Yale Insights in Cardiovascular Medicine: 2022