| Literature DB >> 29309556 |
Aimé Bonny1,2,3, Marcus Ngantcha2, Mohamed Jeilan4, Emmy Okello5, Bundhoo Kaviraj6, Mohammed A Talle7, George Nel8, Eloi Marijon9, Mahmoud U Sani10, Zaheer Yousef11, Kamilu M Karaye10, Ibrahim A Touré12, Mohamed A Awad13, George Millogo14, Jonas Kologo14, Adama Kane15, Romain Houndolo15, Anastase Dzudié16, Amam Mbakwem17, Bongani M Mayosi18, Ashley Chin19.
Abstract
Aims: To provide comprehensive information on the access and use of cardiac implantable electronic devices (CIED) and catheter ablation procedures in Africa. Methods and results: The Pan-African Society of Cardiology (PASCAR) collected data on invasive management of cardiac arrhythmias from 2011 to 2016 from 31 African countries. A specific template was completed by physicians, and additional information obtained from industry. Information on health care systems, demographics, economics, procedure rates, and specific training programs was collected. Considerable heterogeneity in the access to arrhythmia care was observed across Africa. Eight of the 31 countries surveyed (26%) did not perform pacemaker implantations. The median pacemaker implantation rate was 2.66 per million population per country (range: 0.14-233 per million population). Implantable cardioverter-defibrillator and cardiac resynchronization therapy were performed in 12/31 (39%) and 15/31 (48%) countries respectively, mostly by visiting teams. Electrophysiological studies, including complex catheter ablations were performed in all countries from Maghreb, but only one sub-Saharan African country (South Africa). Marked variation in cost (up to 1000-fold) was observed across countries with an inverse correlation between implant rates and the procedure fees standardized to the gross domestic product per capita. Lack of economic resources and facilities, high cost of procedures, deficiency of trained physicians, and non-existent fellowship programs were the main drivers of under-utilization of interventional cardiac arrhythmia care.Entities:
Mesh:
Year: 2018 PMID: 29309556 PMCID: PMC6123943 DOI: 10.1093/europace/eux353
Source DB: PubMed Journal: Europace ISSN: 1099-5129 Impact factor: 5.214
Figure 6Pacemaker implantation rate of countries in Africa compared with Europe. 1st Q, 2nd Q, 3rd Q, and 4th Q are based on the Raatikainen et al. classification. Source: ESC/EHRA White book 2014.
Socio-demographics and vital status of 31 African countries
| Country | Population | Population growth rate (%) | Life expectancy at birth | Death rate/1000 population | GDP (×1000 billion USD) | GDP per capita (USD) | Health expenditure as % of GDP (2014) | Health expenditures per capita | Human development index (2010–15) | |
|---|---|---|---|---|---|---|---|---|---|---|
| World rank | Study sample rank | |||||||||
| Mauritius | 1 260 934 | 0.2 | 74 | 8 | 12 803 445.9 | 10 153.9 | 4.8 | 482 | 64 | 1 |
| Algeria | 39 113 313 | 2 | 75 | 5 | 213 983 107.8 | 5470.9 | 7.2 | 362 | 83 | 2 |
| Tunisia | 11 143 908 | 1.2 | 75 | 7 | 47 603 227.9 | 4271.7 | 7 | 305 | 97 | 3 |
| Lybia | 6 204 108 | 0.1 | 72 | 5 | N/A | N/A | 5 | 372 | 102 | 4 |
| Gabon | 1 875 713 | 3.2 | 64 | 9 | 18 179 717.8 | 9692.2 | 3.4 | 321 | 109 | 5 |
| Egypt | 91 812 566 | 2.2 | 71 | 6 | 305 529 656.5 | 3327.8 | 5.6 | 178 | 111 | 6 |
| South Africa | 54 146 735 | 1.6 | 57 | 12 | 350 850 571.8 | 6479.6 | 8.8 | 570 | 119 | 7 |
| Morocco | 34 318 082 | 1.4 | 74 | 6 | 109 881 398.5 | 3154.5 | 5.9 | 190 | 123 | 8 |
| Congo. Rep | 4 871 101 | 2.5 | 62 | 9 | 14 177 437.6 | 2910.5 | 5.2 | 162 | 135 | 9 |
| Equatorial Guinea | 1 129 424 | 4.1 | 58 | 11 | 21 461 989.5 | 19 002.6 | 3.7 | 663 | 135 | 9 |
| Ghana | 26 962 563 | 2.3 | 61 | 9 | 38 616 536.1 | 1432.2 | 3.6 | 58 | 139 | 10 |
| Sao Tome et Principe | 191 266 | 2.2 | 66 | 7 | 348 463.5 | 1821.9 | 8.3 | 166 | 142 | 11 |
| Kenya | 46 024 250 | 2.6 | 62 | 8 | 61 445 346.0 | 1335.1 | 5.7 | 78 | 146 | 12 |
| Tanzania | 52 234 869 | 3.1 | 65 | 7 | 48 197 218.3 | 950.4 | 5.6 | 52 | 151 | 13 |
| Nigeria | 176 460 502 | 2.7 | 53 | 13 | 568 498 939.8 | 3221.7 | 3.7 | 118 | 152 | 14 |
| Cameroon | 22 239 904 | 2.7 | 55 | 11 | 32 050 817.6 | 1441.1 | 4.1 | 59 | 154 | 15 |
| Mauritania | 4 063 920 | 2.9 | 63 | 8 | 5 391 475.9 | 1326.7 | 3.8 | 49 | 157 | 16 |
| Rwanda | 11 345 357 | 2.5 | 64 | 7 | 8 016 288.4 | 706.6 | 7.5 | 52 | 159 | 17 |
| Senegal | 14 546 111 | 3 | 66 | 6 | 15 308 965.4 | 1052.4 | 4.7 | 50 | 162 | 18 |
| Sudan | 37 737 913 | 2.4 | 63 | 8 | 82 151 588.4 | 2176.9 | 8.4 | 130 | 165 | 19 |
| Uganda | 38 833 338 | 3.4 | 58 | 10 | 27 927 875.3 | 719.2 | 7.2 | 52 | 163 | 19 |
| Togo | 7 228 915 | 2.6 | 60 | 9 | 4 482 880.4 | 620.1 | 5.2 | 34 | 166 | 20 |
| Benin | 10 286 712 | 2.8 | 60 | 9 | 9 707 432.0 | 943.7 | 4.6 | 38 | 167 | 21 |
| IvoryCoast | 22 531 350 | 2.5 | 52 | 14 | 35 372 603.5 | 1569.9 | 5.7 | 88 | 171 | 22 |
| Ethiopia | 97 366 774 | 2.6 | 64 | 7 | 55 612 228.2 | 571.2 | 4.9 | 27 | 174 | 23 |
| Mali | 16 962 846 | 2.9 | 58 | 10 | 14 004 067.5 | 825.6 | 6.9 | 42 | 175 | 24 |
| Guinea Conakry | 11 805 509 | 2.3 | 59 | 10 | 6 624 068.0 | 561.1 | 5.6 | 30 | 183 | 25 |
| Burkina Faso | 17 585 977 | 3 | 59 | 10 | 12 400 688.6 | 705.1 | 5 | 35 | 185 | 26 |
| Chad | 13 569 438 | 3.3 | 52 | 14 | 13 922 223.2 | 1026 | 3.6 | 37 | 186 | 27 |
| Niger | 19 148 219 | 3.8 | 61 | 9 | 8 245 312.1 | 430.6 | 5.8 | 24 | 187 | 28 |
| Central African Republic | 4 515 392 | 0.3 | 51 | 15 | 1 702 898.9 | 377.1 | 4.2 | 16 | 188 | 31 |
GDP, gross domestic product; USD, United States dollar.
Green color indicates countries belonging to high-human development index category, yellow color indicates countries belonging to medium-human development index, and red color indicated countries from low-human development index.
Source: World bank data 2014.
General characteristics of pacing activities among 15 countries
| Characteristics | ||
|---|---|---|
| Title of local investigator | Doctor | 13 (87%) |
| Professor | 2 (13%) | |
| Type hospital | Teaching hospital | 9 (64%) |
| Non-teaching hospital | 3 (22%) | |
| Private hospital/clinic | 2 (14%) | |
| Isoprenaline availability | Yes | 8 (57%) |
| No | 6 (43%) | |
| Temporary stimulation when indicated | Yes | 9 (60%) |
| No | 6 (40%) | |
| Electrophysiological study performed | Yes | 1 (7%) |
| No | 14 (93%) |
Number of centres, operators, and cost of procedures in every countries
| Centres ( | Operators ( | Cost of procedure (USD) | ||
|---|---|---|---|---|
| Countries | Single- chamber | Dual- chamber | ||
| Algeria | 19 | n/a | Free | Free |
| Benin | 2 | n/a | 1374 | 2290 |
| Burkina Faso | 3 | 3 | 1448 | 1982 |
| Cameroon | 3 | 4 | 2000 | 2500 |
| Chad | 1 | 0 | n/a | n/a |
| Congo Republic | 1 | 0 | n/a | n/a |
| Gabon | 1 | n/a | n/a | n/a |
| Egypt | 33 | n/a | n/a | n/a |
| Ethiopia | 3 | 3 | n/a | n/a |
| Ghana | 2 | 2 | n/a | n/a |
| Guinea Conakry | 1 | 0 | n/a | n/a |
| IvoryCoast | n/a | n/a | 2825 | 3282 |
| Kenya | 7 | n/a | 2820 | 4230 |
| Lybia | 2 | 4 | n/a | n/a |
| Mali | 1 | 2 | n/a | n/a |
| Mauritania | 1 | n/a | 1832 | 2137 |
| Morocco | 13 | 112 | n/a | n/a |
| Nigeria | 12 | 15 | n/a | n/a |
| Mauritius | 8 | 50 | free | free |
| Rwanda | 2 | n/a | n/a | n/a |
| Senegal | 4 | 11 | 1984 | 2290 |
| South Africa | 54 | 173 | 1030 | 1380 |
| Sudan | 8 | 14 | 1000 | 1480 |
| Tanzania | 2 | 7 | free | free |
| Togo | 1 | 1 | 2290 | 3053 |
| Tunisia | 60 | 130 | 860 | 1300 |
| Uganda | 1 | 3 | 1880 | 2632 |
USD, United States dollar.
Full coverage in public hospitals.
The pacemaker generator was free based on humanitarian donation, free referred to a national insurance system covering the implantation cost.
Pacemaker implantation rates per million population from 2011 to 2016
| Pacemaker implanting rate per million population | ||||||
|---|---|---|---|---|---|---|
| Countries | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
| Nigeria | n/a | n/a | 0.23 | 0.12 | n/a | n/a |
| Burkina Faso | 0.59 | 0.53 | 0.47 | 0.88 | n/a | n/a |
| Guinea Conakry | n/a | n/a | 0.59 | n/a | n/a | |
| Ghana | n/a | n/a | 0.61 | n/a | n/a | n/a |
| Benin | 1.45 | 1.55 | 0.78 | 1.45 | n/a | n/a |
| Togo | 0.14 | 0.14 | 0.85 | 0.14 | n/a | n/a |
| Mali | n/a | n/a | 0.96 | n/a | n/a | n/a |
| Uganda | 0.46 | 0.69 | 1.05 | n/a | 0.66 | n/a |
| Ivoary Coast | 1.48 | 1.53 | 1.29 | 1.66 | n/a | n/a |
| Kenya | n/a | 1.42 | 1.72 | 2.84 | 5.06 | 7.42 |
| Cameroon | 1.62 | 2.21 | 2.66 | 1.53 | 1.89 | 1.67 |
| Mauritania | n/a | n/a | n/a | 6.97 | n/a | n/a |
| Senegal | 5.91 | 8.30 | 7.81 | 10.97 | n/a | n/a |
| Lybia | n/a | n/a | 7.98 | n/a | n/a | n/a |
| Sudan | n/a | n/a | 13.42 | n/a | n/a | 13.35 |
| Egypt | n/a | 30.00 | 33.00 | 38.00 | 40.54 | n/a |
| Morocco | 39.00 | 38.00 | 34.00 | 44.00 | 54.00 | n/a |
| Algeria | n/a | n/a | 65.00 | 65.00 | 76.00 | n/a |
| South Africa | n/a | 88.30 | 132.00 | 114.00 | n/a | 138.25 |
| Tunisia | 155.00 | 233.00 | 223.21 | 201.00 | n/a | n/a |
| Mauritius | n/a | n/a | 218.49 | 238.4 | n/a | n/a |
Comparison between eastern European countries and African countries
| GDP per capita (USD) | Number of ICD implants | Number of CRT (CRT-P+ CRT-D) implants | |||
|---|---|---|---|---|---|
| Country | Absolute number | Per million population | Absolute number | Per million population | |
| Ukraine | 3104 | 57 | 1.29 | 85 | 2 |
| Georgia | 4429 | 104 | 21.07 | 55 | 11 |
| Bosnia-Herzegovia | 5194 | 55 | 14.21 | 23 | 6 |
| Serbia | 6200 | 457 | 63.39 | 321 | 45 |
GDP, growth demographic product.
Italicized emphasis indicates African countries and unitalicized emphasis indicates Eastern European countries.
Source: ESC/EHRA White book.