Socioeconomic and medical determinants of state‐level subjective cognitive decline in the United States
de Havenon A, Stulberg E, Littig L, Wong K, Sarpong D, Li V, Sharma R, Falcone G, Williamson J, Pajewski N, Gottesman R, Brickman A, Sheth K. Socioeconomic and medical determinants of state‐level subjective cognitive decline in the United States. Alzheimer's & Dementia 2024 PMID: 39351858, DOI: 10.1002/alz.14220.Peer-Reviewed Original ResearchSubjective cognitive declinePrevalence of diabetesPrevalence of povertyMedical determinantsBehavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemCognitive declinePrevalence of subjective cognitive declineBurden of cognitive declinePopulation levelState-level prevalenceMedical risk factorsFunctional impairmentState-level associationsPhysician densityUnited StatesMedical factorsRates of povertyState-level analysisHousehold incomePrimary outcomeCollege educationSurveillance systemRisk factorsEthnic minoritiesDeep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal 2024, 23969873241260154. PMID: 38880882, DOI: 10.1177/23969873241260154.Peer-Reviewed Original ResearchIntracerebral hemorrhage scoreNon-contrast CT scanIntracerebral hemorrhageCT scanFUNC scoreIntracerebral hemorrhage patientsNon-contrast CTFunctional impairmentSevere disabilityDependent living statusLong-term functional impairmentC-indexPrognostic toolFunctional outcomesTreatment decisionsAcute settingClinical implementationRehabilitation strategiesDependent livingPatientsPredicting functional impairmentLong-term care needsPlanning of patient careDeep learning modelsHemorrhage