2024
Prescription Patterns for Sodium-Glucose Cotransporter 2 Inhibitors in U.S. Health Systems
Shin J, Xu Y, Chang A, Carrero J, Flaherty C, Mukhopadhyay A, Inker L, Blecker S, Horwitz L, Grams M. Prescription Patterns for Sodium-Glucose Cotransporter 2 Inhibitors in U.S. Health Systems. Journal Of The American College Of Cardiology 2024, 84: 683-693. PMID: 39142721, DOI: 10.1016/j.jacc.2024.05.057.Peer-Reviewed Original ResearchConceptsSodium-glucose cotransporter 2Class 1A recommendationSodium-glucose cotransporter 2 inhibitor therapyChronic kidney diseaseU.S. health systemHealth systemInhibitor prescriptionHeart failurePrescription ratesInhibitor therapyInhibitor useSodium-glucose cotransporter 2 inhibitorsSodium-glucose cotransporter 2 inhibitor useOptum Labs Data WarehouseProportion of patientsSGLT2 inhibitor usePresence of diabetesRecurrent cardiovascular eventsAtherosclerotic cardiovascular diseaseCotransporter 2Analysis of U.S. dataSevere albuminuriaPrescription patternsCardiovascular eventsCommercial insurance
2023
Impact of Visit Volume on the Effectiveness of Electronic Tools to Improve Heart Failure Care
Mukhopadhyay A, Reynolds H, King W, Phillips L, Nagler A, Szerencsy A, Saxena A, Klapheke N, Katz S, Horwitz L, Blecker S. Impact of Visit Volume on the Effectiveness of Electronic Tools to Improve Heart Failure Care. JACC Heart Failure 2023, 12: 665-674. PMID: 38043045, DOI: 10.1016/j.jchf.2023.11.002.Peer-Reviewed Original ResearchMineralocorticoid antagonistsVolume groupVisit volumeElectronic health record toolsPhysician workloadGuideline-recommended therapiesReduced ejection fractionUsual care armHeart failure carePrespecified subgroup analysisHigh-volume groupCluster-randomized trialLog-binomial modelsBusy practice settingsCare armEHR alertUsual careEjection fractionHeart failureSubgroup analysisEHR toolsNumber of visitsCardiology officePractice settingsStudy period
2020
Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study
Petrilli CM, Jones SA, Yang J, Rajagopalan H, O'Donnell L, Chernyak Y, Tobin KA, Cerfolio RJ, Francois F, Horwitz LI. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. The BMJ 2020, 369: m1966. PMID: 32444366, PMCID: PMC7243801, DOI: 10.1136/bmj.m1966.Peer-Reviewed Original ResearchConceptsBody mass indexProspective cohort studyCritical illnessCoronavirus disease 2019Hospital admissionCohort studyHeart failureMale sexDisease 2019Hospice careAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSyndrome coronavirus 2 infectionC-reactive protein levelsSingle academic medical centerAdmission oxygen saturationCoronavirus 2 infectionReactive protein levelsChronic kidney diseaseD-dimer levelsMarkers of inflammationAge 75 yearsSeverity of illnessStrong riskMultivariable logistic regression
2019
Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure
Blecker S, Herrin J, Li L, Yu H, Grady JN, Horwitz LI. Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure. Journal Of The American College Of Cardiology 2019, 73: 1004-1012. PMID: 30846093, PMCID: PMC7011858, DOI: 10.1016/j.jacc.2018.12.040.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramSecondary heart failureReadmission ratesHeart failureReadmissions Reduction ProgramHF hospitalizationAffordable Care ActMedicare's Hospital Readmissions Reduction ProgramRisk-adjusted readmission ratesCause readmission rateHigher readmission ratesAcute myocardial infarctionCare ActReduction programsLinear spline regression modelsPneumonia hospitalizationsHospital readmissionMedicare hospitalizationsRetrospective studySecondary diagnosisMyocardial infarctionPrincipal diagnosisHospitalizationSpline regression modelsPatients
2018
Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization
Horwitz LI, Wang Y, Altaf FK, Wang C, Lin Z, Liu S, Grady J, Bernheim SM, Desai NR, Venkatesh AK, Herrin J. Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization. Medical Care 2018, 56: 281-289. PMID: 29462075, PMCID: PMC6170884, DOI: 10.1097/mlr.0000000000000882.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesEmergency Service, HospitalFee-for-Service PlansHeart FailureHospital AdministrationHospitals, PublicHumansMedicareMyocardial InfarctionNursing Staff, HospitalOwnershipPatient ReadmissionPneumoniaResidence CharacteristicsRetrospective StudiesSafety-net ProvidersUnited StatesConceptsAcute care utilizationAcute myocardial infarctionHeart failureCare utilizationAcute careMyocardial infarctionHospital characteristicsNet hospitalExcess daysPublic hospitalsNonsafety net hospitalsHigher readmission ratesEmergency department utilizationProportion of hospitalsAcute care hospitalsSafety-net hospitalService Medicare beneficiariesLarge urban hospitalMajor teaching hospitalType of hospitalCross-sectional analysisPostdischarge utilizationHospital dischargeHospital factorsReadmission rates
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatients