2024
Long‐Term Mortality Predictors Using a Machine‐Learning Approach in Patients With Chronic Limb‐Threatening Ischemia After Peripheral Vascular Intervention
Callegari S, Romain G, Cleman J, Scierka L, Jacque F, Smolderen K, Mena‐Hurtado C. Long‐Term Mortality Predictors Using a Machine‐Learning Approach in Patients With Chronic Limb‐Threatening Ischemia After Peripheral Vascular Intervention. Journal Of The American Heart Association 2024, 13: e034477. PMID: 38761075, PMCID: PMC11179837, DOI: 10.1161/jaha.124.034477.Peer-Reviewed Original ResearchConceptsChronic limb-threatening ischemiaPeripheral vascular interventionsHealth careLimb-threatening ischemiaMortality predictorsLong-term mortality riskMultidimensional risk factorsBody mass indexLong-term mortality predictorsImprove individualized careVascular interventionsIndividualized careAssisted careBiopsychosocial modelMortality riskCareMass indexRisk factorsMedical comorbiditiesRisk profileInterventionMortality rateChronic kidney diseaseMortalityPredictive variables
2018
Comparison of procedural success between two radial sheaths
Gul B, Stolar M, Stair B, Hermany P, Willis S, Mena-Hurtado C, Attaran R. Comparison of procedural success between two radial sheaths. Herz 2018, 45: 79-85. PMID: 29767330, DOI: 10.1007/s00059-018-4707-1.Peer-Reviewed Original ResearchConceptsGlidesheath SlenderPercutaneous coronary angiographyProcedural success rateCoronary angiographySheath groupStandard sheathTransradial approachRadial accessProcedural outcomesProcedural failureTransradial coronary angiographyRadial artery spasmBody mass indexSuccess rateArtery spasmCardiac catheterizationPatient characteristicsProcedural successMass indexCommon causeResultsThe studyRadial sheathMore casesPatientsAngiography