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Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015.


ABSTRACT:

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.

SUBMITTER: Roth GA 

PROVIDER: S-EPMC5491406 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Publications

Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015.

Roth Gregory A GA   Johnson Catherine C   Abajobir Amanuel A   Abd-Allah Foad F   Abera Semaw Ferede SF   Abyu Gebre G   Ahmed Muktar M   Aksut Baran B   Alam Tahiya T   Alam Khurshid K   Alla François F   Alvis-Guzman Nelson N   Amrock Stephen S   Ansari Hossein H   Ärnlöv Johan J   Asayesh Hamid H   Atey Tesfay Mehari TM   Avila-Burgos Leticia L   Awasthi Ashish A   Banerjee Amitava A   Barac Aleksandra A   Bärnighausen Till T   Barregard Lars L   Bedi Neeraj N   Belay Ketema Ezra E   Bennett Derrick D   Berhe Gebremedhin G   Bhutta Zulfiqar Z   Bitew Shimelash S   Carapetis Jonathan J   Carrero Juan Jesus JJ   Malta Deborah Carvalho DC   Castañeda-Orjuela Carlos Andres CA   Castillo-Rivas Jacqueline J   Catalá-López Ferrán F   Choi Jee-Young JY   Christensen Hanne H   Cirillo Massimo M   Cooper Leslie L   Criqui Michael M   Cundiff David D   Damasceno Albertino A   Dandona Lalit L   Dandona Rakhi R   Davletov Kairat K   Dharmaratne Samath S   Dorairaj Prabhakaran P   Dubey Manisha M   Ehrenkranz Rebecca R   El Sayed Zaki Maysaa M   Faraon Emerito Jose A EJA   Esteghamati Alireza A   Farid Talha T   Farvid Maryam M   Feigin Valery V   Ding Eric L EL   Fowkes Gerry G   Gebrehiwot Tsegaye T   Gillum Richard R   Gold Audra A   Gona Philimon P   Gupta Rajeev R   Habtewold Tesfa Dejenie TD   Hafezi-Nejad Nima N   Hailu Tesfaye T   Hailu Gessessew Bugssa GB   Hankey Graeme G   Hassen Hamid Yimam HY   Abate Kalkidan Hassen KH   Havmoeller Rasmus R   Hay Simon I SI   Horino Masako M   Hotez Peter J PJ   Jacobsen Kathryn K   James Spencer S   Javanbakht Mehdi M   Jeemon Panniyammakal P   John Denny D   Jonas Jost J   Kalkonde Yogeshwar Y   Karimkhani Chante C   Kasaeian Amir A   Khader Yousef Y   Khan Abdur A   Khang Young-Ho YH   Khera Sahil S   Khoja Abdullah T AT   Khubchandani Jagdish J   Kim Daniel D   Kolte Dhaval D   Kosen Soewarta S   Krohn Kristopher J KJ   Kumar G Anil GA   Kwan Gene F GF   Lal Dharmesh Kumar DK   Larsson Anders A   Linn Shai S   Lopez Alan A   Lotufo Paulo A PA   El Razek Hassan Magdy Abd HMA   Malekzadeh Reza R   Mazidi Mohsen M   Meier Toni T   Meles Kidanu Gebremariam KG   Mensah George G   Meretoja Atte A   Mezgebe Haftay H   Miller Ted T   Mirrakhimov Erkin E   Mohammed Shafiu S   Moran Andrew E AE   Musa Kamarul Imran KI   Narula Jagat J   Neal Bruce B   Ngalesoni Frida F   Nguyen Grant G   Obermeyer Carla Makhlouf CM   Owolabi Mayowa M   Patton George G   Pedro João J   Qato Dima D   Qorbani Mostafa M   Rahimi Kazem K   Rai Rajesh Kumar RK   Rawaf Salman S   Ribeiro Antônio A   Safiri Saeid S   Salomon Joshua A JA   Santos Itamar I   Santric Milicevic Milena M   Sartorius Benn B   Schutte Aletta A   Sepanlou Sadaf S   Shaikh Masood Ali MA   Shin Min-Jeong MJ   Shishehbor Mehdi M   Shore Hirbo H   Silva Diego Augusto Santos DAS   Sobngwi Eugene E   Stranges Saverio S   Swaminathan Soumya S   Tabarés-Seisdedos Rafael R   Tadele Atnafu Niguse N   Tesfay Fisaha F   Thakur J S JS   Thrift Amanda A   Topor-Madry Roman R   Truelsen Thomas T   Tyrovolas Stefanos S   Ukwaja Kingsley Nnanna KN   Uthman Olalekan O   Vasankari Tommi T   Vlassov Vasiliy V   Vollset Stein Emil SE   Wakayo Tolassa T   Watkins David D   Weintraub Robert R   Werdecker Andrea A   Westerman Ronny R   Wiysonge Charles Shey CS   Wolfe Charles C   Workicho Abdulhalik A   Xu Gelin G   Yano Yuichiro Y   Yip Paul P   Yonemoto Naohiro N   Younis Mustafa M   Yu Chuanhua C   Vos Theo T   Naghavi Mohsen M   Murray Christopher C  

Journal of the American College of Cardiology 20170517 1


<h4>Background</h4>The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.<h4>Objectives</h4>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.<h4>Methods</h4>CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective coho  ...[more]

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