TY - JOUR KW - Adult KW - Female KW - Humans KW - Aged KW - Male KW - Middle Aged KW - Risk Factors KW - Prospective Studies KW - Prevalence KW - Risk Assessment KW - Cardiovascular Diseases KW - Young Adult KW - Survival Rate KW - Retrospective Studies KW - Sex Distribution KW - Life Expectancy KW - Global Health KW - Cause of Death KW - Morbidity AU - Abera Semaw AU - Banerjee Amitava AU - Bedi Neeraj AU - Bhutta Zulfiqar AU - Catalá-Lopéz Ferrán AU - Cirillo Massimo AU - Dandona Lalit AU - Dandona Rakhi AU - Ding Eric AU - Gona Philimon AU - Khang Young-Ho AU - Kim Daniel AU - Kosen Soewarta AU - G Kumar Anil AU - Larsson Anders AU - Lotufo Paulo AU - Meretoja Atte AU - Naghavi Mohsen AU - Vollset Stein AU - Vos Theo AU - Westerman Ronny AU - Yip Paul AU - Yonemoto Naohiro AU - Younis Mustafa AU - Yu Chuanhua AU - Zaki Maysaa AU - Gupta Rajeev AU - Abate Kalkidan AU - Ärnlöv Johan AU - Barregård Lars AU - Khader Yousef AU - Kolte Dhaval AU - Razek Hassan AU - Silva Diego AU - Werdecker Andrea AU - Yano Yuichiro AU - Owolabi Mayowa AU - Salomon Joshua AU - Roth Gregory AU - Johnson Catherine AU - Abajobir Amanuel AU - Abd-Allah Foad AU - Abyu Gebre AU - Ahmed Muktar AU - Aksut Baran AU - Alam Tahiya AU - Alam Khurshid AU - Alla François AU - Alvis-Guzman Nelson AU - Amrock Stephen AU - Ansari Hossein AU - Asayesh Hamid AU - Atey Tesfay AU - Avila-Burgos Leticia AU - Awasthi Ashish AU - Barac Aleksandra AU - Bärnighausen Till AU - Ketema Ezra AU - Bennett Derrick AU - Berhe Gebremedhin AU - Bitew Shimelash AU - Carapetis Jonathan AU - Carrero Juan AU - Malta Deborah AU - Castañeda-Orjuela Carlos AU - Castillo-Rivas Jacqueline AU - Choi Jee-Young AU - Christensen Hanne AU - Cooper Leslie AU - Criqui Michael AU - Cundiff David AU - Damasceno Albertino AU - Davletov Kairat AU - Dharmaratne Samath AU - Dorairaj Prabhakaran AU - Dubey Manisha AU - Ehrenkranz Rebecca AU - Faraon Emerito AU - Esteghamati Alireza AU - Farid Talha AU - Farvid Maryam AU - Feigin Valery AU - Fowkes Gerry AU - Gebrehiwot Tsegaye AU - Gillum Richard AU - Gold Audra AU - Habtewold Tesfa AU - Hafezi-Nejad Nima AU - Hailu Tesfaye AU - Hailu Gessessew AU - Hankey Graeme AU - Hassen Hamid AU - Havmoeller Rasmus AU - Hay Simon AU - Horino Masako AU - Hotez Peter AU - Jacobsen Kathryn AU - James Spencer AU - Javanbakht Mehdi AU - Jeemon Panniyammakal AU - John Denny AU - Jonas Jost AU - Kalkonde Yogeshwar AU - Karimkhani Chante AU - Kasaeian Amir AU - Khan Abdur AU - Khera Sahil AU - Khoja Abdullah AU - Khubchandani Jagdish AU - Krohn Kristopher AU - Lal Dharmesh AU - Linn Shai AU - Lopez Alan AU - Malekzadeh Reza AU - Mazidi Mohsen AU - Meier Toni AU - Meles Kidanu AU - Mensah George AU - Mezgebe Haftay AU - Miller Ted AU - Mirrakhimov Erkin AU - Mohammed Shafiu AU - Moran Andrew AU - Musa Kamarul AU - Narula Jagat AU - Ngalesoni Frida AU - Nguyen Grant AU - Obermeyer Carla AU - Patton George AU - Pedro João AU - Qato Dima AU - Qorbani Mostafa AU - Rai Rajesh AU - Rawaf Salman AU - Ribeiro Antônio AU - Safiri Saeid AU - Santos Itamar AU - Milicevic Milena AU - Sartorius Benn AU - Schutte Aletta AU - Sepanlou Sadaf AU - Shaikh Masood AU - Shin Min-Jeong AU - Shishehbor Mehdi AU - Shore Hirbo AU - Sobngwi Eugene AU - Stranges Saverio AU - Swaminathan Soumya AU - Tabarés-Seisdedos Rafael AU - Atnafu Niguse AU - Tesfay Fisaha AU - Thakur J AU - Thrift Amanda AU - Topor-Madry Roman AU - Truelsen Thomas AU - Tyrovolas Stefanos AU - Ukwaja Kingsley AU - Uthman Olalekan AU - Vasankari Tommi AU - Vlassov Vasiliy AU - Wakayo Tolassa AU - Watkins David AU - Weintraub Robert AU - Wiysonge Charles AU - Wolfe Charles AU - Workicho Abdulhalik AU - Xu Gelin AU - Murray Christopher AU - Kwan Gene AU - Neal Bruce AU - Rahimi K AB -

BACKGROUND: The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.

OBJECTIVES: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden.

METHODS: CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility.

RESULTS: In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75.

CONCLUSIONS: CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.

BT - J Am Coll Cardiol C1 - https://www.ncbi.nlm.nih.gov/pubmed/28527533?dopt=Abstract DO - 10.1016/j.jacc.2017.04.052 IS - 1 J2 - J. Am. Coll. Cardiol. LA - eng N2 -

BACKGROUND: The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.

OBJECTIVES: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden.

METHODS: CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility.

RESULTS: In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75.

CONCLUSIONS: CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.

PY - 2017 SP - 1 EP - 25 T2 - J Am Coll Cardiol TI - Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. VL - 70 SN - 1558-3597 ER -