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
2018
Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
Wood AM, Kaptoge S, Butterworth AS, Willeit P, Warnakula S, Bolton T, Paige E, Paul DS, Sweeting M, Burgess S, Bell S, Astle W, Stevens D, Koulman A, Selmer RM, Verschuren WMM, Sato S, Njølstad I, Woodward M, Salomaa V, Nordestgaard BG, Yeap BB, Fletcher A, Melander O, Kuller LH, Balkau B, Marmot M, Koenig W, Casiglia E, Cooper C, Arndt V, Franco OH, Wennberg P, Gallacher J, de la Cámara AG, Völzke H, Dahm CC, Dale CE, Bergmann MM, Crespo CJ, van der Schouw YT, Kaaks R, Simons LA, Lagiou P, Schoufour JD, Boer JMA, Key TJ, Rodriguez B, Moreno-Iribas C, Davidson KW, Taylor JO, Sacerdote C, Wallace RB, Quiros JR, Tumino R, Blazer DG, Linneberg A, Daimon M, Panico S, Howard B, Skeie G, Strandberg T, Weiderpass E, Nietert PJ, Psaty BM, Kromhout D, Salamanca-Fernandez E, Kiechl S, Krumholz HM, Grioni S, Palli D, Huerta JM, Price J, Sundström J, Arriola L, Arima H, Travis RC, Panagiotakos DB, Karakatsani A, Trichopoulou A, Kühn T, Grobbee DE, Barrett-Connor E, van Schoor N, Boeing H, Overvad K, Kauhanen J, Wareham N, Langenberg C, Forouhi N, Wennberg M, Després JP, Cushman M, Cooper JA, Rodriguez CJ, Sakurai M, Shaw JE, Knuiman M, Voortman T, Meisinger C, Tjønneland A, Brenner H, Palmieri L, Dallongeville J, Brunner EJ, Assmann G, Trevisan M, Gillum RF, Ford I, Sattar N, Lazo M, Thompson SG, Ferrari P, Leon DA, Smith GD, Peto R, Jackson R, Banks E, Di Angelantonio E, Danesh J, Group E, Wood A, Kaptoge S, Butterworth A, Willeit P, Warnakula S, Bolton T, Paige E, Paul D, Sweeting M, Burgess S, Bell S, Astle W, Stevens D, Koulman A, Selmer R, Verschuren M, Sato S, Njølstad I, Woodward M, Veikko S, Nordestgaard B, Yeap B, Flecther A, Melander O, Kuller L, Balkau B, Marmot M, Koenig W, Casiglia E, Cooper C, Arndt V, Franco O, Wennberg P, Gallacher J, de la Cámara A, Völzke H, Dahm C, Dale C, Bergmann M, Crespo C, van der Schouw Y, Kaaks R, Simons L, Lagiou P, Schoufour J, Boer J, Key T, Rodriguez B, Moreno-Iribas C, Davidson K, Taylor J, Sacerdote C, Wallace R, Quiros J, Rimm E, Tumino R, Blazer D, Linneberg A, Daimon M, Panico S, Howard B, Skeie G, Salomaa V, Strandberg T, Weiderpass E, Nietert P, Psaty B, Kromhout D, Salamanca-Fernandez E, Kiechl S, Krumholz H, Grioni S, Palli D, Huerta J, Price J, Sundström J, Arriola L, Arima H, Travis R, Panagiotakos D, Karakatsani A, Trichopoulou A, Kühn T, Grobbee D, Barrett-Connor E, van Schoor N, Boeing H, Overvad K, Kauhanen J, Wareham N, Langenberg C, Forouhi N, Wennberg M, Després J, Cushman M, Cooper J, Rodriguez C, Sakurai M, Shaw J, Knuiman M, Voortman T, Meisinger C, Tjønneland A, Brenner H, Palmieri L, Dallongeville J, Brunner E, Assmann G, Trevisan M, Gillumn R, Ford I, Sattar N, Lazo M, Thompson S, Ferrari P, Leon D, Smith G, Peto R, Jackson R, Banks E, Di Angelantonio E, Danesh J. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. The Lancet 2018, 391: 1513-1523. PMID: 29676281, PMCID: PMC5899998, DOI: 10.1016/s0140-6736(18)30134-x.Peer-Reviewed Original ResearchConceptsIndividual participant dataCardiovascular disease subtypesCause mortalityCurrent drinkersCardiovascular diseaseHazard ratioAlcohol consumptionMyocardial infarctionLower riskProspective studyHigh-income countriesDisease subtypesIncident cardiovascular disease eventsFatal aortic aneurysmsMinimum mortality riskTotal cardiovascular diseasePrevious cardiovascular diseaseCardiovascular disease eventsHistory of diabetesDose-response associationUK Medical Research CouncilAge 40 yearsAlcohol consumption amountBritish Heart FoundationWeeks of alcohol
2005
Patients With Depressive Symptoms Have Lower Health Status Benefits After Coronary Artery Bypass Surgery
Mallik S, Krumholz HM, Lin ZQ, Kasl SV, Mattera JA, Roumains SA, Vaccarino V. Patients With Depressive Symptoms Have Lower Health Status Benefits After Coronary Artery Bypass Surgery. Circulation 2005, 111: 271-277. PMID: 15655132, DOI: 10.1161/01.cir.0000152102.29293.d7.Peer-Reviewed Original ResearchConceptsPhysical component scalePhysical functionGeriatric Depression ScaleGDS scoresDepressive symptomsPCS scoresRisk factorsFunctional improvementShort-Form 36 physical component scaleCoronary artery bypass surgeryHealth status benefitsInverse risk factorTime of CABGPatients' physical functionArtery bypass surgeryHistory of diabetesVentricular ejection fractionWorse physical functionCoronary artery diseaseIndependent prognostic factorPrevious myocardial infarctionStrong risk factorBaseline PCS scoresHigher GDS scoresSignificant independent predictors