2018
Scoring System to Optimize Pioglitazone Therapy After Stroke Based on Fracture Risk
Viscoli CM, Kent DM, Conwit R, Dearborn JL, Furie KL, Gorman M, Guarino PD, Inzucchi SE, Stuart A, Young LH, Kernan WN, Investigators F. Scoring System to Optimize Pioglitazone Therapy After Stroke Based on Fracture Risk. Stroke 2018, 50: 95-100. PMID: 30580725, PMCID: PMC6557695, DOI: 10.1161/strokeaha.118.022745.Peer-Reviewed Original ResearchTransient ischemic attackAbsolute risk differenceFracture riskIschemic attackPioglitazone therapyFracture risk modelsIschemic strokeMyocardial infarctionRisk strataRisk differenceRandomized placebo-controlled trialFavorable benefit-risk profilePlacebo-controlled trialLow-risk patientsEffect of pioglitazoneBody mass indexHigh-risk groupBenefit-risk profileHigh-risk stratumLow-risk groupSimple point scoreBone fracture riskCardiovascular riskPatient characteristicsDiabetes mellitus
1993
A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics.
Inouye SK, Viscoli CM, Horwitz RI, Hurst LD, Tinetti ME. A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics. Annals Of Internal Medicine 1993, 119: 474-81. PMID: 8357112, DOI: 10.7326/0003-4819-119-6-199309150-00005.Peer-Reviewed Original ResearchConceptsHospitalized elderly medical patientsElderly medical patientsValidation cohortDevelopment cohortRisk factorsMedical patientsBlood urea nitrogen/creatinine ratioIndependent baseline risk factorsUrea nitrogen/creatinine ratioPatients 70 yearsRate of deliriumBaseline risk factorsProspective cohort studyProportional hazards analysisHigh-risk groupUniversity Teaching HospitalRisk stratification systemNursing home placementRate of deathNew deliriumComparable patientsCohort studyCreatinine ratioAdmission characteristicsSevere illness