2024
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
Nargesi A, Adejumo P, Dhingra L, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni G, Lin Z, Ahmad F, Krumholz H, Khera R. Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing. JACC Heart Failure 2024 PMID: 39453355, DOI: 10.1016/j.jchf.2024.08.012.Peer-Reviewed Original ResearchReduced ejection fractionEjection fractionHeart failureLeft ventricular ejection fractionVentricular ejection fractionYale-New Haven HospitalIdentification of patientsCommunity hospitalIdentification of heart failureLanguage modelNorthwestern MedicineMeasure care qualityQuality of careNew Haven HospitalDeep learning-based natural language processingHFrEFGuideline-directed careDeep learning language modelsMIMIC-IIIDetect HFrEFNatural language processingReclassification improvementHospital dischargePatientsCare quality
2010
Geriatric Conditions and Subsequent Mortality in Older Patients With Heart Failure
Chaudhry SI, Wang Y, Gill TM, Krumholz HM. Geriatric Conditions and Subsequent Mortality in Older Patients With Heart Failure. Journal Of The American College Of Cardiology 2010, 55: 309-316. PMID: 20117435, PMCID: PMC2832791, DOI: 10.1016/j.jacc.2009.07.066.Peer-Reviewed Original ResearchConceptsLong-term mortalityGeriatric conditionsNet reclassification improvementMobility disabilityOlder patientsReclassification improvementRisk factorsMultivariable logistic regression modelHeart failure hospitalizationIndependent risk factorTraditional risk factorsMedical record dataFinal multivariable modelYears of ageLogistic regression modelsFailure hospitalizationTerm mortalityHeart failureIndependent predictorsPrognostic importanceMean ageMultivariable modelMedicare beneficiariesMortality rateSubsequent mortality