2024
Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study
Mao J, Matheny M, Smolderen K, Mena-Hurtado C, Sedrakyan A, Goodney P. Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study. BMJ Open 2024, 14: e085806. PMID: 39327057, PMCID: PMC11429269, DOI: 10.1136/bmjopen-2024-085806.Peer-Reviewed Original ResearchConceptsElectronic health recordsElectronic health record dataClinical Research NetworkAmputation-free survivalPeripheral vascular interventionsResearch NetworkINSIGHT Clinical Research NetworkNew York CityHealth record dataIncreased riskLong-term outcomes of interventionsSecondary outcome measuresOutcomes of interventionsIncreased risk of deathYork CityRisk of deathObservational cohort studyHealth recordsRegistry dataClinical registryVascular Quality Initiative registryCohort studyOutcome assessmentRecord dataLong-term outcomesAssociation of Undernutrition With Mortality and Amputation Outcomes in Chronic Limb Threatening Ischaemia: A Systematic Review
Scierka L, Cleman J, Brice A, Grimshaw A, Soedamah-Muthu S, Mena-Hurtado C, Smolderen K. Association of Undernutrition With Mortality and Amputation Outcomes in Chronic Limb Threatening Ischaemia: A Systematic Review. European Journal Of Vascular And Endovascular Surgery 2024 PMID: 39216793, DOI: 10.1016/j.ejvs.2024.08.038.Peer-Reviewed Original ResearchChronic limb-threatening ischaemiaNutritional screening toolsLimb-threatening ischaemiaRisk of deathValidity of nutrition screening toolsSystematic reviewScreening toolEffect sizeStatistically significant increased riskNutritional statusIndicators of undernutritionModifiable risk factorsStatistically significant increased risk of deathRandomised controlled trialsQuality of evidenceCertainty of evidenceNutritional status measuresIncreased risk of deathCase-control studySystematic literature searchAmputation outcomesStatus measuresCase-control study of patientsData extractionCohort study
2020
Association of Perceived Stress Levels With Long-term Mortality in Patients With Peripheral Artery Disease
Malik AO, Peri-Okonny P, Gosch K, Thomas M, Mena C, Hiatt WR, Jones PG, Provance JB, Labrosciano C, Jelani QU, Spertus JA, Smolderen KG. Association of Perceived Stress Levels With Long-term Mortality in Patients With Peripheral Artery Disease. JAMA Network Open 2020, 3: e208741. PMID: 32573710, PMCID: PMC7312389, DOI: 10.1001/jamanetworkopen.2020.8741.Peer-Reviewed Original ResearchConceptsModifiable risk factorsSelf-perceived stressChronic stressCause mortalityCohort studyRisk factorsCox proportional hazards regression modelLong-term mortality riskProportional hazards regression modelsSymptoms of PADLong-term mortalityPeripheral arterial diseasePeripheral artery diseasePrimary study outcomeEvidence-based management strategiesNational Death IndexHazards regression modelsRisk of mortalityAssessment of mortalityOnly patientsArtery diseaseFinal cohortArterial diseaseDeath IndexMulticenter study
2018
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLOS Medicine 2018, 15: e1002703. PMID: 30481186, PMCID: PMC6258473, DOI: 10.1371/journal.pmed.1002703.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedClinical Decision-MakingData MiningDecision Support TechniquesFemaleHumansMachine LearningMaleMiddle AgedPercutaneous Coronary InterventionProtective FactorsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionNational Cardiovascular Data RegistryRisk prediction modelAKI eventsAKI riskCoronary interventionAKI modelMean ageCardiology-National Cardiovascular Data RegistryAcute kidney injury riskAKI risk predictionRetrospective cohort studyIdentification of patientsCandidate variablesAvailable candidate variablesCohort studyPCI proceduresPoint of careBrier scoreAmerican CollegeData registryPatientsCalibration slopeInjury riskSame cohort