2019
World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
Group T, Kaptoge S, Pennells L, De Bacquer D, Cooney M, Kavousi M, Stevens G, Riley L, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens J, Björkelund C, Blaha M, Blazer D, Bolton T, Beaglehole R, Brenner H, Brunner E, Casiglia E, Chamnan P, Choi Y, Chowdry R, Coady S, Crespo C, Cushman M, Dagenais G, D'Agostino R, Daimon M, Davidson K, Engström G, Ford I, Gallacher J, Gansevoort R, Gaziano T, Giampaoli S, Grandits G, Grimsgaard S, Grobbee D, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema J, Kauhanen J, Kengne A, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam T, Laughlin G, Ibañez A, Meade T, Moons K, Nietert P, Ninomiya T, Nordestgaard B, O'Donnell C, Palmieri L, Patel A, Perel P, Price J, Providencia R, Ridker P, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw J, Shin H, Simons L, Sofianopoulou E, Sundström J, Völzke H, Wallace R, Wareham N, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. The Lancet Global Health 2019, 7: e1332-e1345. PMID: 31488387, PMCID: PMC7025029, DOI: 10.1016/s2214-109x(19)30318-3.Peer-Reviewed Original ResearchConceptsRisk prediction modelSystolic blood pressureCardiovascular disease riskBritish Heart FoundationIndividual participant dataCardiovascular diseaseBlood pressureTotal cholesterolC-indexFatal coronary heart diseaseNon-fatal cardiovascular diseaseDisease riskCardiovascular disease risk predictionParticipant dataIncident cardiovascular eventsHistory of diabetesRisk factor profileRisk prediction chartsWHO STEPwise approachSex-specific incidenceUK Medical Research CouncilCoronary heart diseaseFirst myocardial infarctionExternal validation cohortHarrell's C-index
2012
Building Hospital Management Capacity to Improve Patient Flow for Cardiac Catheterization at a Cardiovascular Hospital in Egypt
Wong R, Hathi S, Linnander EL, Banna A, Maraghi M, Din R, Ahmed A, Hafez AR, Allam AA, Krumholz HM, Bradley EH. Building Hospital Management Capacity to Improve Patient Flow for Cardiac Catheterization at a Cardiovascular Hospital in Egypt. The Joint Commission Journal On Quality And Patient Safety 2012, 38: 147-153. PMID: 22533126, PMCID: PMC3427659, DOI: 10.1016/s1553-7250(12)38019-7.Peer-Reviewed Original ResearchConceptsCardiac catheterizationPre-post intervention studyPercentage of patientsPatient flowPre-intervention periodNational Heart InstituteCatheterization laboratory proceduresResource-limited settingsSubset of proceduresTotal patientsConsecutive patientsMiddle-income countriesCardiovascular HospitalPostintervention periodHeart InstituteHospital careHigh-income countriesQI interventionsPatientsCatheterization proceduresIntervention studiesCatheterizationPatient crowdingWard unitSignificant reduction
2011
Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004
Cherlin EJ, Allam AA, Linnander EL, Wong R, El-Toukhy E, Sipsma H, Krumholz HM, Curry LA, Bradley EH. Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004. BMC Health Services Research 2011, 11: 282. PMID: 22014078, PMCID: PMC3216250, DOI: 10.1186/1472-6963-11-282.Peer-Reviewed Original ResearchConceptsHealth unitsMiddle-income countriesHealth facilitiesHealth Survey websiteService Provision Assessment surveyMinority of facilitiesQuality improvement initiativesRural health unitsUrban health unitsCross-sectional analysisHealth care deliveryMinistry of HealthHealth reformMeasure DemographicFinal sampleGeneral service hospitalsMore rural partsService hospitalsChild healthStandard frequency analysisCare deliveryFacility characteristicsHealth careStatistical significanceImprovement initiativesGender Differences in Presentation, Management, and In-Hospital Outcomes for Patients with AMI in a Lower-Middle Income Country: Evidence from Egypt
Butala NM, Desai MM, Linnander EL, Wong YR, Mikhail DG, Ott LS, Spertus JA, Bradley EH, Aaty AA, Abdelfattah A, Gamal A, Kholeif H, Baz M, Allam AH, Krumholz HM. Gender Differences in Presentation, Management, and In-Hospital Outcomes for Patients with AMI in a Lower-Middle Income Country: Evidence from Egypt. PLOS ONE 2011, 6: e25904. PMID: 22022463, PMCID: PMC3192760, DOI: 10.1371/journal.pone.0025904.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital outcomesFemale patientsInitial presentationClinical managementDiagnosis of AMIIncome countriesIn-Hospital OutcomesOutcomes of patientsTime of presentationMultivariate logistic regressionGender differencesQuality of careLow-middle income countriesHospital mortalityHospital deathDiabetes mellitusHeart failureAtrial fibrillationHigher BMIMyocardial infarctionCardiovascular diseaseRegistry dataHigh-income countriesEgyptian hospitals
2010
Implementation of a Registry for Acute Coronary Syndrome in Resource-Limited Settings: Barriers and Opportunities
Safavi K, Linnander EL, Allam AA, Bradley EH, Krumholz HM. Implementation of a Registry for Acute Coronary Syndrome in Resource-Limited Settings: Barriers and Opportunities. Asia Pacific Journal Of Public Health 2010, 22: 90s-95s. PMID: 20566539, DOI: 10.1177/1010539510373017.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeCardiovascular diseaseCoronary syndromeHealth systemClinical Outcomes RegistryEvidence-based careCause of deathResource limited settingsResource-limited settingsWorld health systemsQuality improvement activitiesMiddle-income countriesOutcomes RegistryHigh-quality treatmentBlame-free cultureClinical registryRegistrySyndromeImprovement activitiesHospitalDiseaseSetting