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Global, Regional, and National Mortality Due to Unintentional Carbon Monoxide Poisoning, 2000–2021: Results From the Global Burden of Disease Study 2021 Publisher Pubmed



Moberg ME1 ; Hamilton EB1 ; Zeng SM1 ; Bryazka D1 ; Zhao JT1 ; Feldman R1 ; Abate YH4 ; Abbasikangevari M5, 149, 179 ; Abdurehman AM10 ; Abedi A14, 15 ; Abugharbieh E16 ; Adepoju AV22, 23 ; Adnani QES24 ; Afzal S26, 27 Show All Authors
Authors
  1. Moberg ME1
  2. Hamilton EB1
  3. Zeng SM1
  4. Bryazka D1
  5. Zhao JT1
  6. Feldman R1
  7. Abate YH4
  8. Abbasikangevari M5, 149, 179
  9. Abdurehman AM10
  10. Abedi A14, 15
  11. Abugharbieh E16
  12. Adepoju AV22, 23
  13. Adnani QES24
  14. Afzal S26, 27
  15. Ahmad S29
  16. Ahmed D30, 31
  17. Ahmed H30, 31
  18. Alem DT32
  19. Algheethi AAS33, 34
  20. Alimohamadi Y35
  21. Ameyaw EK38
  22. Amrollahisharifabadi M39, 149, 179
  23. Anagaw TF40
  24. Anyasodor AE42
  25. Arabloo J36
  26. Aravkin AY1, 2, 3, 19
  27. Athari SS43
  28. Atreya A44
  29. Jafari AA45
  30. Badiye AD21
  31. Baghcheghi N25
  32. Bagherieh S28
  33. Bansal H48
  34. Barrow A50
  35. Bashiri A52
  36. Bayileyegn NS53
  37. Berhie AY41
  38. Bhagavathula AS59
  39. Bhardwaj P60, 61
  40. Boloor A64
  41. Camera LA54
  42. Carvalho F7, 69, 71
  43. Carvalho M69, 71
  44. Chandrasekar EK72
  45. Chang JC73, 74
  46. Chattu VK75, 76
  47. Coberly K1
  48. Cruzmartins N70, 78, 89
  49. Dadras O56
  50. Dai X1, 3
  51. Soltani RDC82
  52. Das S85, 86
  53. Das S85, 86
  54. Debela SA87
  55. Demessa BH88
  56. Deng X89
  57. Desta AA90
  58. Desye B92
  59. Dhimal M93
  60. Dibas M96
  61. Dsouza HL65, 97
  62. Ekholuenetale M98, 99
  63. Sayed IE101
  64. Elhuneidi W17
  65. Enyew DB11
  66. Fagbamigbe AF98, 102
  67. Fatehizadeh A51, 79, 80
  68. Fatima SAF104
  69. Fischer F105
  70. Franklin RC106
  71. Garg T107
  72. Gebi TG12
  73. Gerema U57
  74. Getachew M13, 57, 108
  75. Getachew ME13, 57, 108
  76. Ghamari F81, 83
  77. Golechha M109
  78. Goleij P110
  79. Gupta S111, 112, 113
  80. Gupta VB111, 112, 113
  81. Gupta VK111, 112, 113
  82. Harorani M84
  83. Hasani H114
  84. Hassan AM115, 117
  85. Hassanianmoghaddam H116, 120
  86. Hassen MB1, 122
  87. Hay SI1, 3
  88. Hayat K124, 125
  89. Heidari M126
  90. Heidariforoozan M67, 68
  91. Heyi DZ130
  92. Holla R131
  93. Hoogar P133
  94. Hossain MS134
  95. Hosseini MS135
  96. Hostiuc S136, 137
  97. Hoveidamanesh S138
  98. Ilesanmi OS100, 139
  99. Ilic IM140
  100. Immurana M141
  101. Iwu CCD142
  102. Jayarajah U143, 144
  103. Joseph N66
  104. Joshua CE145
  105. Kadashetti V17, 103
  106. Kanchan T62
  107. Kandel H121, 147
  108. Kantar RS148, 149
  109. Kapoor N47
  110. Karaye IM150
  111. Katoto PDMC151, 152
  112. Khajuria H153
  113. Khan EA154
  114. Khateri S155
  115. Khodamoradi F156
  116. Khormali M6
  117. Khubchandani J157
  118. Kim G158, 160
  119. Kisa A161, 162
  120. Koohestani HR49
  121. Krishan K163
  122. Kumar N164
  123. Laflamme L165, 166
  124. Landires I167, 168
  125. Larijani B128
  126. Lauriola P169
  127. Le TTT171
  128. Ledda C172
  129. Lee SW173
  130. Lim SS1, 3
  131. Lobo SW174, 175
  132. Lunevicius R129, 146
  133. Maharaj SB176, 177
  134. Menezes RG180
  135. Mentis AFA181
  136. Mestrovic T1, 182
  137. Miller TR183, 184
  138. Mirmoeeni S45
  139. Misganaw A3, 123
  140. Mishra M185
  141. Misra S63
  142. Mittal C186
  143. Mohammadi E8, 9
  144. Mokdad AH1, 3
  145. Moni MA187
  146. Mostafavi E188, 189
  147. Mubarik S190
  148. Mulita F192, 193
  149. Mulualem JA91
  150. Mulugeta T58
  151. Murray CJL178, 198, 199
  152. Myers I194
  153. Nayak BP132, 153
  154. Nayak VC132, 153
  155. Nejadghaderi SA118
  156. Nguyen HLT170, 195
  157. Nguyen VT170, 195
  158. Nouraei H55
  159. Nzoputam OJ196, 197
  160. Okatialiabad H215, 224
  161. Olufadewa II227
  162. Ordak M200
  163. Padronmonedero A201
  164. Padubidri JR202
  165. Pandey A94, 203
  166. Pant S95
  167. Parekh U204
  168. Pawar S205
  169. Peden AE20, 206
  170. Petcu IR207
  171. Piel FB208
  172. Piracha ZZ209
  173. Pourali G210, 211
  174. Qattea I159
  175. Qureshi MF214
  176. Raghav PR60
  177. Rahman M33
  178. Rahmani S5, 118
  179. Ramasubramani P216
  180. Ramazanu S217
  181. Rawaf S218, 219
  182. Rezaei N5, 7
  183. Rezaei N5, 7
  184. Rezaeian M33, 220
  185. Saddik B18
  186. Sadeghi M221
  187. Sadeghian F6, 46, 222
  188. Saeed U222, 223
  189. Sahebkar A212, 213
  190. Saif Z230
  191. Sakshaug JW225, 226
  192. Salamati P6
  193. Samy AM228, 229
  194. Sarmientosuarez R231
  195. Schwebel DC232
  196. Senthilkumaran S233
  197. Seylani A234
  198. Shaikh MA235
  199. Sham S236
  200. Shashamo BB237
  201. Sheikhi RA127
  202. Shetty BSK65
  203. Shetty PH65
  204. Sibhat MM238
  205. Singh H239, 240
  206. Singh P239, 240
  207. Sisay EA241, 242
  208. Solomon Y243
  209. Taheri M37, 119
  210. Ullah I244, 245, 246
  211. Ullah S244, 245, 246
  212. Violante FS247, 248
  213. Vu LG249, 250
  214. Wickramasinghe ND251
  215. Yigit A252
  216. Yonemoto N30, 72, 148, 150, 236, 253, 254
  217. Yousefi Z255
  218. Zaman M256
  219. Zastrozhin MS257, 258
  220. Zhang ZJ191
  221. Zheng P1, 3
  222. Steinmetz JD1
  223. Vos T1, 3
  224. Naghavi M1, 3
  225. Ong KL1
  226. Ong L1
  227. Zoladl M60, 259
  228. Chu DT77

Source: The Lancet Public Health Published:2023


Abstract

Background: Unintentional carbon monoxide poisoning is a largely preventable cause of death that has received insufficient attention. We aimed to conduct a comprehensive global analysis of the demographic, temporal, and geographical patterns of fatal unintentional carbon monoxide poisoning from 2000 to 2021. Methods: As part of the latest Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), unintentional carbon monoxide poisoning mortality was quantified using the GBD cause of death ensemble modelling strategy. Vital registration data and covariates with an epidemiological link to unintentional carbon monoxide poisoning informed the estimates of death counts and mortality rates for all locations, sexes, ages, and years included in the GBD. Years of life lost (YLLs) were estimated by multiplying deaths by remaining standard life expectancy at age of death. Population attributable fractions (PAFs) for unintentional carbon monoxide poisoning deaths due to occupational injuries and high alcohol use were estimated. Findings: In 2021, the global mortality rate due to unintentional carbon monoxide poisoning was 0·366 per 100 000 (95% uncertainty interval 0·276–0·415), with 28 900 deaths (21 700–32 800) and 1·18 million YLLs (0·886–1·35) across all ages. Nearly 70% of deaths occurred in males (20 100 [15 800–24 000]), and the 50–54-year age group had the largest number of deaths (2210 [1660–2590]). The highest mortality rate was in those aged 85 years or older with 1·96 deaths (1·38–2·32) per 100 000. Eastern Europe had the highest age-standardised mortality rate at 2·12 deaths (1·98–2·30) per 100 000. Globally, there was a 53·5% (46·2–63·7) decrease in the age-standardised mortality rate from 2000 to 2021, although this decline was not uniform across regions. The overall PAFs for occupational injuries and high alcohol use were 13·6% (11·9–16·0) and 3·5% (1·4–6·2), respectively. Interpretation: Improvements in unintentional carbon monoxide poisoning mortality rates have been inconsistent across regions and over time since 2000. Given that unintentional carbon monoxide poisoning is almost entirely preventable, policy-level interventions that lower the risk of carbon monoxide poisoning events should be prioritised, such as those that increase access to improved heating and cooking devices, reduce carbon monoxide emissions from generators, and mandate use of carbon monoxide alarms. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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