2023
Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography
Oikonomou E, Holste G, Mcnamara R, Velazquez E, Nadkarni G, Ouyang D, Krumholz H, Wang Z, Khera R. Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography. European Heart Journal 2023, 44: ehad655.040. DOI: 10.1093/eurheartj/ehad655.040.Peer-Reviewed Original ResearchLeft ventricular ejection fractionSevere aortic stenosisAortic stenosisAS progressionAV VmaxTransthoracic echocardiographyYale New Haven Health SystemBaseline left ventricular ejection fractionAortic stenosis progressionModerate aortic stenosisRetrospective cohort studyVentricular ejection fractionTwo-dimensional echocardiographyMean rateModerate ASAS severityCohort studyEjection fractionPatient sexStenosis progressionTTE studiesEligible participantsSerial monitoringSpecialized centersTimely diagnosis
2020
Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults
Mszar R, Mahajan S, Valero-Elizondo J, Yahya T, Sharma R, Grandhi GR, Khera R, Virani SS, Lichtman J, Khan SU, Cainzos-Achirica M, Vahidy FS, Krumholz HM, Nasir K. Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults. Stroke 2020, 51: 3552-3561. PMID: 33100188, DOI: 10.1161/strokeaha.120.031137.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyCommon stroke symptomsStroke symptomsHealth Interview SurveyYoung adultsUS young adultsSymptom awarenessFocused public health interventionsInterview SurveyStroke symptom awarenessHigh-risk characteristicsPublic health interventionsArms/legsCertain sociodemographic subgroupsLow education levelStroke incidenceSevere headacheSingle symptomStudy populationTimely diagnosisHigher oddsStroke rateHispanic ethnicityGeneral populationSociodemographic determinants