2023
Racial Differences in Presentation and Outcomes After Peripheral Arterial Interventions: Insights From the NCDR-PVI Registry
Julien H, Wang Y, Curtis J, Johnston-Cox H, Eberly L, Wang G, Nathan A, Fanaroff A, Khatana S, Groeneveld P, Secemsky E, Eneanya N, Vora A, Kobayashi T, Barbery C, Chery G, Kohi M, Kirksey L, Armstrong E, Jaff M, Giri J. Racial Differences in Presentation and Outcomes After Peripheral Arterial Interventions: Insights From the NCDR-PVI Registry. Circulation Cardiovascular Interventions 2023, 16: e011485. PMID: 37339237, DOI: 10.1161/circinterventions.121.011485.Peer-Reviewed Original ResearchConceptsDistressed Communities Index scorePeripheral arterial interventionsBlack patientsDrug-eluting technologiesWhite patientsArterial interventionsIndex scoreAcute kidney injuryRate of amputationSocioeconomic statusMultivariable logistic regressionPatient's zip codeZip codesMedicaid Services dataLow socioeconomic statusHigh ratePVI procedureKidney injuryMajor amputationIntervention RegistryHigh prevalenceAmerican CollegePatientsRevascularizationLogistic regression
2006
Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project
Rathore SS, Masoudi FA, Wang Y, Curtis JP, Foody JM, Havranek EP, Krumholz HM. Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project. American Heart Journal 2006, 152: 371-378. PMID: 16875925, PMCID: PMC2790269, DOI: 10.1016/j.ahj.2005.12.002.Peer-Reviewed Original ResearchConceptsLeft ventricular systolic function assessmentHigh SES patientsVentricular systolic function assessmentHeart failureSES patientsSystolic function assessmentYear of dischargeQuality of careSocioeconomic statusMultivariable adjustmentFunction assessmentEnzyme inhibitorsNational Heart Failure ProjectHeart Failure ProjectPrescription of angiotensinLow SES patientsPatients' socioeconomic statusAssociation of SESYear of admissionMedical record dataHierarchical logistic regression modelsLow socioeconomic statusLogistic regression modelsPatient sElderly patients