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Global, Regional, and National Sex Differences in the Global Burden of Tuberculosis by Hiv Status, 1990–2019: Results From the Global Burden of Disease Study 2019 Publisher Pubmed



Ledesma JR1 ; Ma J1 ; Vongpradith A1 ; Maddison ER1 ; Novotney A1 ; Biehl MH6 ; Legrand KE1 ; Ross JM1, 2, 3 ; Jahagirdar D1 ; Bryazka D1 ; Feldman R1 ; Abolhassani H7, 8 ; Abosetugn AE13 ; Abugharbieh E14 Show All Authors
Authors
  1. Ledesma JR1
  2. Ma J1
  3. Vongpradith A1
  4. Maddison ER1
  5. Novotney A1
  6. Biehl MH6
  7. Legrand KE1
  8. Ross JM1, 2, 3
  9. Jahagirdar D1
  10. Bryazka D1
  11. Feldman R1
  12. Abolhassani H7, 8
  13. Abosetugn AE13
  14. Abugharbieh E14
  15. Adebayo OM16
  16. Adnani QES17, 18
  17. Afzal S19, 20
  18. Ahinkorah BO21
  19. Ahmad SA22
  20. Ahmadi S23
  21. Rashid TA25
  22. Salih YA26, 27
  23. Aklilu A28
  24. Akunna CJ31, 32
  25. Al Hamad H33, 34
  26. Alahdab F35
  27. Alemayehu Y29
  28. Alene KA36, 37
  29. Ali BA38, 39
  30. Ali L40
  31. Alipour V42, 43
  32. Alizade H46
  33. Alraddadi RM47
  34. Alvisguzman N49, 50
  35. Amini S51
  36. Amit AML53, 54
  37. Anderson JA1
  38. Androudi S56
  39. Antonio CAT55, 57
  40. Antony CM1
  41. Anwer R58
  42. Arabloo J42
  43. Arja A60
  44. Asemahagn MA61
  45. Atre SR64, 65
  46. Azhar GS1, 69
  47. Darshan BB1
  48. Babar ZUD75
  49. Baig AA76
  50. Banach M77, 78
  51. Barqawi HJ15
  52. Barra F79
  53. Barrow A81, 82
  54. Basu S83, 85
  55. Belgaumi UI88
  56. Bhagavathula AS89, 90
  57. Bhardwaj N91
  58. Bhardwaj P92, 93
  59. Bhattacharjee NV1
  60. Bhattacharyya K97, 98
  61. Bijani A99
  62. Bikbov B100
  63. Boloor A101
  64. Briko NI104
  65. Buonsenso D105, 106
  66. Nagaraja SB1
  67. Butt ZA108, 109
  68. Carter A1
  69. Carvalho F110
  70. Charan J94
  71. Chatterjee S112
  72. Chattu SK113
  73. Chattu VK114, 115
  74. Christopher DJ116
  75. Chu DT117
  76. Claassens MM118, 119
  77. Dadras O120, 121
  78. Dagnew AB62
  79. Dai X1
  80. Dandona L1, 122, 123
  81. Dandona R1, 4, 122
  82. Daneshpajouhnejad P66, 124
  83. Darwesh AM126
  84. Dhamnetiya D127
  85. Dianatinasab M128, 129
  86. Diaz D132, 133
  87. Doan LP134, 135
  88. Eftekharzadeh S136
  89. Elhadi M137
  90. Emami A130
  91. Enany S138
  92. Faraon EJA55
  93. Farzadfar F9
  94. Fernandes E111
  95. Desideri LF80
  96. Filip I139, 140
  97. Fischer F141
  98. Foroutan M142
  99. Frank TD143
  100. Garciabasteiro AL144, 145
  101. Garciacalavaro C146
  102. Garg T147
  103. Geberemariyam BS148
  104. Ghadiri K149, 150
  105. Ghashghaee A42, 44
  106. Golechha M152
  107. Goodridge A153
  108. Gupta B154
  109. Gupta S155
  110. Gupta VB156
  111. Gupta VK157
  112. Haider MR158
  113. Hamidi S159
  114. Hanif A160
  115. Haque S161
  116. Harapan H162
  117. Hargono A163
  118. Hasaballah AI164
  119. Hashi A165
  120. Hassan S166, 167
  121. Hassankhani H168
  122. Hayat K173, 174
  123. Hezam K175, 176
  124. Holla R70
  125. Hosseinzadeh M42
  126. Hostiuc M177
  127. Househ M178
  128. Hussain R179
  129. Ibitoye SE180
  130. Ilic IM181
  131. Ilic MD182
  132. Irvani SSN172
  133. Ismail NE183
  134. Itumalla R184
  135. Jaafari J185
  136. Jacobsen KH188
  137. Jain V189
  138. Javanmardi F131
  139. Jayapal SK191
  140. Jayaram S192
  141. Jha RP193, 194
  142. Jonas JB195, 196
  143. Joseph N102
  144. Joukar F186, 187
  145. Kabir Z197
  146. Kamath A70, 74
  147. Kanchan T95
  148. Kandel H198, 199
  149. Katoto PDMC200, 202
  150. Kayode GA203, 204
  151. Kendrick PJ1
  152. Kerbo AA205
  153. Khajuria H206
  154. Khalilov R207, 208
  155. Khatab K209, 210
  156. Khoja AT59, 67
  157. Khubchandani J211, 217
  158. Kim MS212
  159. Kim YJ213, 214
  160. Kisa A1
  161. Kisa S215, 216, 217
  162. Kosen S218
  163. Koul PA219
  164. Laxminarayana SLK220
  165. Koyanagi A221, 222
  166. Krishan K223
  167. Bicer BK224
  168. Kumar A225
  169. Kumar GA122
  170. Kumar N102, 226
  171. Kumar N102, 226
  172. Kwarteng A227
  173. Lak HM189
  174. Lal DK122
  175. Landires I228, 231
  176. Lasrado S232
  177. Lee SWH233, 234
  178. Lee WC235
  179. Lin C1
  180. Liu X190, 236
  181. Lopukhov PD104
  182. Lozano R1, 4
  183. Machado DB237, 238
  184. Kunjathur SM239
  185. Madi D101
  186. Mahajan PB240
  187. Majeed A86
  188. Malik AA48, 160
  189. Martinsmelo FR241
  190. Mehta S242
  191. Memish ZA243, 244
  192. Mendoza W245
  193. Menezes RG246
  194. Merie HE248
  195. Mersha AG249, 251
  196. Mesregah MK254, 255
  197. Mestrovic T256, 257
  198. Mheidly NM258
  199. Misra S96
  200. Mithra P102
  201. Moghadaszadeh M169, 170
  202. Mohammadi M259
  203. Mohammadianhafshejani A260
  204. Mohammed S261, 263
  205. Molokhia M264
  206. Moni MA265
  207. Al Montasir A266, 267
  208. Moore CE268
  209. Nagarajan AJ107, 271, 272
  210. Nair S71
  211. Nair S71
  212. Naqvi AA247, 275
  213. Swamy SN276
  214. Nayak BP206
  215. Nazari J52
  216. Kandel SN277
  217. Nguyen TH134, 135
  218. Nixon MR1
  219. Nnaji CA278, 279
  220. Ntsekhe M280, 281
  221. Nunezsamudio V229, 230
  222. Oancea B282
  223. Odukoya OO283, 284
  224. Olagunju AT285, 286
  225. Oren E5, 287
  226. Mahesh PA288
  227. Parthasarathi R289
  228. Kan FP45
  229. Pattanshetty SM72
  230. Paudel R290
  231. Paul P291
  232. Pawar S292
  233. Pepito VCF293
  234. Perico N294
  235. Pirestani M295
  236. Polibin RV104
  237. Postma MJ296, 297
  238. Pourshams A10
  239. Prashant A298
  240. Pribadi DRA299
  241. Radfar A300
  242. Rafei A301, 302
  243. Rahim F304
  244. Rahimimovaghar V11, 12
  245. Rahman M305
  246. Rahman M305
  247. Rahmani AM307
  248. Ranasinghe P308
  249. Rao CR73
  250. Rawaf DL87, 310
  251. Rawaf S86, 311
  252. Reitsma MB1
  253. Remuzzi G294
  254. Renzaho AMN312, 313
  255. Reta MA314, 315
  256. Rezaei N8, 316
  257. Rezahosseini O317
  258. Rezai MS303
  259. Rezapour A42
  260. Roshandel G318
  261. Roshchin DO319
  262. Sabour S24
  263. Saifurrahman KM320, 321
  264. Salam N322
  265. Kafl HS171
  266. Samaei M323
  267. Samy AM324
  268. Saroshe S325
  269. Sartorius B4, 269, 270
  270. Sathian B33, 326
  271. Sawyer SM327, 328
  272. Senthilkumaran S329
  273. Seylani A330
  274. Shafaat O68, 125
  275. Shaikh MA331
  276. Sharaf K151
  277. Shetty RS73
  278. Shigematsu M332
  279. Shin JI333
  280. Silva JP110
  281. Singh JK334
  282. Sinha S103
  283. Skryabin VY335
  284. Skryabina AA337
  285. Spurlock EE1
  286. Sreeramareddy CT338
  287. Steiropoulos P339
  288. Sufyan MB262
  289. Tabuchi T340
  290. Tadesse EG30
  291. Tamir Z341
  292. Tarkang EE342, 343
  293. Tekalegn Y148
  294. Tesfay FH344, 346
  295. Tessema B252
  296. Thapar R102
  297. Tleyjeh II347, 348
  298. Tobegai R349
  299. Tran BX350
  300. Tsegaye B351
  301. Tsegaye GW63
  302. Ullah A41
  303. Umeokonkwo CD352
  304. Tahbaz SV353, 354
  305. Vo B355
  306. Vu GT356
  307. Waheed Y22
  308. Walters MK1
  309. Whisnant JL1
  310. Woldekidan MA60
  311. Wubishet BL250, 345
  312. Jabbari SHY353
  313. Yazie TSY357
  314. Yeshaw Y253
  315. Yi S358, 359
  316. Yigit V360
  317. Yonemoto N361, 362
  318. Yu C363
  319. Yunusa I84, 365
  320. Zastrozhin MS336, 366
  321. Zastrozhina A367
  322. Zhang ZJ364
  323. Zumla A309, 368
  324. Mokdad AH1, 4
  325. Salomon JA369
  326. Lim SS1, 4
  327. Naghavi M1, 4
  328. Vos T1, 4
  329. Hay SI1, 4
  330. Murray CJL1, 4
  331. Kyu HH1, 4

Source: The Lancet Infectious Diseases Published:2022


Abstract

Background: Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health targets, evaluations of differences in tuberculosis burden by sex are crucial. We aimed to assess the levels and trends of the global burden of tuberculosis, with an emphasis on investigating differences in sex by HIV status for 204 countries and territories from 1990 to 2019. Methods: We used a Bayesian hierarchical Cause of Death Ensemble model (CODEm) platform to analyse 21 505 site-years of vital registration data, 705 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, and 680 site-years of mortality surveillance data to estimate mortality due to tuberculosis among HIV-negative individuals. We used a population attributable fraction approach to estimate mortality related to HIV and tuberculosis coinfection. A compartmental meta-regression tool (DisMod-MR 2.1) was then used to synthesise all available data sources, including prevalence surveys, annual case notifications, population-based tuberculin surveys, and tuberculosis cause-specific mortality, to produce estimates of incidence, prevalence, and mortality that were internally consistent. We further estimated the fraction of tuberculosis mortality that is attributable to independent effects of risk factors, including smoking, alcohol use, and diabetes, for HIV-negative individuals. For individuals with HIV and tuberculosis coinfection, we assessed mortality attributable to HIV risk factors including unsafe sex, intimate partner violence (only estimated among females), and injection drug use. We present 95% uncertainty intervals for all estimates. Findings: Globally, in 2019, among HIV-negative individuals, there were 1·18 million (95% uncertainty interval 1·08–1·29) deaths due to tuberculosis and 8·50 million (7·45–9·73) incident cases of tuberculosis. Among HIV-positive individuals, there were 217 000 (153 000–279 000) deaths due to tuberculosis and 1·15 million (1·01–1·32) incident cases in 2019. More deaths and incident cases occurred in males than in females among HIV-negative individuals globally in 2019, with 342 000 (234 000–425 000) more deaths and 1·01 million (0·82–1·23) more incident cases in males than in females. Among HIV-positive individuals, 6250 (1820–11 400) more deaths and 81 100 (63 300–100 000) more incident cases occurred among females than among males in 2019. Age-standardised mortality rates among HIV-negative males were more than two times greater in 105 countries and age-standardised incidence rates were more than 1·5 times greater in 74 countries than among HIV-negative females in 2019. The fraction of global tuberculosis deaths among HIV-negative individuals attributable to alcohol use, smoking, and diabetes was 4·27 (3·69–5·02), 6·17 (5·48–7·02), and 1·17 (1·07–1·28) times higher, respectively, among males than among females in 2019. Among individuals with HIV and tuberculosis coinfection, the fraction of mortality attributable to injection drug use was 2·23 (2·03–2·44) times greater among males than females, whereas the fraction due to unsafe sex was 1·06 (1·05–1·08) times greater among females than males. Interpretation: As countries refine national tuberculosis programmes and strategies to end the tuberculosis epidemic, the excess burden experienced by males is important. Interventions are needed to actively communicate, especially to men, the importance of early diagnosis and treatment. These interventions should occur in parallel with efforts to minimise excess HIV burden among women in the highest HIV burden countries that are contributing to excess HIV and tuberculosis coinfection burden for females. Placing a focus on tuberculosis burden among HIV-negative males and HIV and tuberculosis coinfection among females might help to diminish the overall burden of tuberculosis. This strategy will be crucial in reaching both equity and burden targets outlined by global health milestones. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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