2024
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Oikonomou E, Aminorroaya A, Dhingra L, Partridge C, Velazquez E, Desai N, Krumholz H, Miller E, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. European Heart Journal - Digital Health 2024, 5: 303-313. PMID: 38774380, PMCID: PMC11104476, DOI: 10.1093/ehjdh/ztae023.Peer-Reviewed Original ResearchRisk of acute myocardial infarctionAssociated with lower oddsHospital health systemCoronary artery diseaseCardiac testingRisk of adverse outcomesUK BiobankHealth systemProvider-drivenLower oddsAssociated with better outcomesAcute myocardial infarctionBlack raceStable chest painFemale sexReal world evaluationDiabetes historyMulticohort studyFunction testsSuspected coronary artery diseaseYounger ageRisk profileAdverse outcomesMultinational cohortPost hoc analysis
2017
Clinical characteristics and 12-month outcomes of patients with valvular and non-valvular atrial fibrillation in Kenya
Temu TM, Lane KA, Shen C, Ng'ang'a L, Akwanalo CO, Chen PS, Emonyi W, Heckbert SR, Koech MM, Manji I, Vatta M, Velazquez EJ, Wessel J, Kimaiyo S, Inui TS, Bloomfield GS. Clinical characteristics and 12-month outcomes of patients with valvular and non-valvular atrial fibrillation in Kenya. PLOS ONE 2017, 12: e0185204. PMID: 28934312, PMCID: PMC5608343, DOI: 10.1371/journal.pone.0185204.Peer-Reviewed Original ResearchConceptsValvular AFValvular heart diseaseAtrial fibrillationNVAF patientsAF patientsHeart diseaseNon-valvular atrial fibrillationGlobal cardiovascular disease burdenValvular atrial fibrillationRates of hypertensionCardiovascular disease burdenLong-term outcomesProspective data collectionAnticoagulation therapyClinical characteristicsCohort studyClinical profileHeart failureOverall mortalityClinical featuresComorbid conditionsFatal outcomeMean ageFemale sexDisease burden