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



Roth GA1 ; Johnson C1 ; Abajobir A2 ; Abdallah F3 ; Abera SF4 ; Abyu G4 ; Ahmed M5 ; Aksut B6 ; Alam T1 ; Alam K7 ; Alla F8 ; Alvisguzman N9 ; Amrock S10 ; Ansari H11 Show All Authors
Authors
  1. Roth GA1
  2. Johnson C1
  3. Abajobir A2
  4. Abdallah F3
  5. Abera SF4
  6. Abyu G4
  7. Ahmed M5
  8. Aksut B6
  9. Alam T1
  10. Alam K7
  11. Alla F8
  12. Alvisguzman N9
  13. Amrock S10
  14. Ansari H11
  15. Arnlov J12
  16. Asayesh H13
  17. Atey TM4
  18. Avilaburgos L14
  19. Awasthi A15
  20. Banerjee A16
  21. Barac A17
  22. Barnighausen T18
  23. Barregard L19
  24. Bedi N20
  25. Belay Ketema E4
  26. Bennett D21
  27. Berhe G4
  28. Bhutta Z22
  29. Bitew S23
  30. Carapetis J24
  31. Carrero JJ25
  32. Malta DC26
  33. Castanedaorjuela CA27
  34. Castillorivas J28
  35. Catalalopez F29
  36. Choi JY30
  37. Christensen H31
  38. Cirillo M32
  39. Criqui M34
  40. Cundiff D35
  41. Damasceno A36
  42. Dandona L1, 37
  43. Dandona R1, 37
  44. Davletov K38
  45. Dharmaratne S39
  46. Dorairaj P40
  47. Dubey M41
  48. Ehrenkranz R1
  49. El Sayed Zaki M42
  50. Faraon EJA43
  51. Esteghamati A44
  52. Farid T45
  53. Farvid M18
  54. Feigin V46
  55. Ding EL18
  56. Fowkes G47
  57. Gebrehiwot T5
  58. Gillum R18
  59. Gold A1
  60. Gona P48
  61. Gupta R49
  62. Habtewold TD50
  63. Hafezinejad N44
  64. Hailu T4
  65. Hailu GB4
  66. Hankey G24
  67. Hassen HY51
  68. Abate KH5
  69. Havmoeller R25
  70. Hay SI1, 21
  71. Horino M52
  72. Hotez PJ53
  73. Jacobsen K54
  74. James S55
  75. Javanbakht M56
  76. Jeemon P40
  77. John D57
  78. Jonas J58
  79. Kalkonde Y59
  80. Karimkhani C60
  81. Kasaeian A44
  82. Khader Y61
  83. Khan A45
  84. Khang YH62
  85. Khera S63
  86. Khoja AT64
  87. Khubchandani J65
  88. Kim D66
  89. Kolte D67
  90. Kosen S68
  91. Krohn KJ1
  92. Kumar GA37
  93. Kwan GF69
  94. Lal DK37
  95. Larsson A12
  96. Linn S70
  97. Lopez A7
  98. Lotufo PA71
  99. El Razek HMA42
  100. Malekzadeh R44
  101. Mazidi M72
  102. Meier T73
  103. Meles KG4
  104. Mensah G74
  105. Meretoja A7
  106. Mezgebe H4
  107. Miller T75
  108. Mirrakhimov E76
  109. Mohammed S77
  110. Moran AE78
  111. Musa KI79
  112. Narula J80
  113. Neal B81
  114. Ngalesoni F82
  115. Nguyen G1
  116. Obermeyer CM83
  117. Owolabi M84
  118. Patton G7
  119. Pedro J85
  120. Qato D86
  121. Qorbani M87
  122. Rahimi K21
  123. Rai RK88
  124. Rawaf S89
  125. Ribeiro A26
  126. Safiri S90
  127. Salomon JA18
  128. Santos I71
  129. Santric Milicevic M17
  130. Sartorius B91
  131. Schutte A92
  132. Sepanlou S44
  133. Shaikh MA93
  134. Shin MJ94
  135. Shishehbor M6
  136. Shore H95
  137. Silva DAS96
  138. Sobngwi E97
  139. Stranges S98
  140. Swaminathan S99
  141. Tabaresseisdedos R29
  142. Tadele Atnafu N51
  143. Tesfay F4
  144. Thakur JS100
  145. Thrift A101
  146. Topormadry R102
  147. Truelsen T103
  148. Tyrovolas S104
  149. Ukwaja KN105
  150. Uthman O106
  151. Vasankari T107
  152. Vlassov V108
  153. Vollset SE109
  154. Wakayo T5
  155. Watkins D1
  156. Weintraub R110
  157. Werdecker A111
  158. Westerman R111
  159. Wiysonge CS112
  160. Wolfe C113
  161. Workicho A5
  162. Xu G114
  163. Yano Y115
  164. Yip P116
  165. Yonemoto N117
  166. Younis M118
  167. Yu C119
  168. Vos T1
  169. Naghavi M1
  170. Murray C1

Source: Journal of the American College of Cardiology Published:2017


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. © 2017 The Authors
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