| Literature DB >> 34857562 |
Pauline Cavagna1,2, Jean Laurent Takombe3, Jean Marie Damorou4, Charles Kouam Kouam5, Ibrahima Bara Diop6, Stephane Méo Ikama7, Kouadio Euloge Kramoh8, Ibrahim Ali Toure9, Dadhi Balde10, Anastase Dzudie11, Beatriz Ferreira12, Martin Houenassi13, Adama Kane14, Suzy Gisele Kimbally-Kaki7, Samuel Kingue15, Emmanuel Limbole16,17, Liliane Mfeukeu Kuate18, Jean Bruno Mipinda19, Roland N'Guetta8, Carol Nhavoto12, Abdallahi Sidy Ali20, Bamba Gaye2, Gabriel S Tajeu21, Diane Macquart De Terline22,2, Marie Cécile Perier2, Michel Azizi23,24,25, Xavier Jouven2,25,26, Marie Antignac22,2.
Abstract
OBJECTIVE: In Africa, the number of patients with hypertension is expected to reach 216.8 million by 2030. Large-scale data on antihypertensive medications used in Sub-Saharan Africa (SSA) are scarce.Here, we describe antihypertensive drug strategies and identify treatment factors associated with blood pressure (BP) control in 12 Sub-Saharan countries.Entities:
Keywords: hypertension; public health; therapeutics
Mesh:
Substances:
Year: 2021 PMID: 34857562 PMCID: PMC8640662 DOI: 10.1136/bmjopen-2021-049632
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Characteristics of participants according to therapeutic strategy
| Global | No drugs | Monotherapy | Two-drug therapy | Three-drug and + | |
|
| |||||
| N, (%) | 2198 | 75 (3.4) | 653 (29.7) | 927 (42.2) | 543 (24.7) |
| Age (year), mean (SD) | 58.3 (11.8) | 55.3 (14.1) | 57.8 (12.12) | 58.5 (11.70) | 58.9 (11.09) |
| Male, N (%) | 874 (39.8) | 22 (29.3) | 248 (38.0) | 385 (41.5) | 219 (40.3) |
| Patient wealth index, N (%) | |||||
| 376 (17.6) | 15 (22.4) | 109 (17.2) | 166 (18.3) | 86 (16.2) | |
| 1053 (49.2) | 36 (53.7) | 302 (47.6) | 450 (49.5) | 265 (49.8) | |
| 713 (33.3) | 16 (23.9) | 224 (35.2) | 292 (32.2) | 181 (34.0) | |
| 56 | 8 | 18 | 19 | 11 | |
| Country-level income (low vs middle), N (%) | 1017 (46.3) | 23 (30.7) | 361 (55.3) | 419 (45.2) | 214 (39.4) |
| Location (urban vs rural), N (%) | 1702 (78.9) | 56 (74.7) | 485 (75.7) | 729 (80.3) | 432 (81.1) |
| 41 | 0 | 12 | 19 | 10 | |
| Cardiovascular risks factors, N (%) | |||||
| 84 (5.1) | 7 (13.7) | 16 (3.4) | 45 (6.5) | 16 (3.7) | |
| 288 (17.5) | 8 (15.7) | 74 (15.6) | 119 (17.3) | 87 (20.2) | |
| 328 (19.9) | 4 (7.8) | 75 (15.8) | 142 (20.6) | 107 (24.9) | |
| 88 (5.3) | 0 (0.0) | 26 (5.5) | 43 (6.2) | 19 (4.4) | |
| 340 (20.7) | 16 (31.4) | 79 (16.6) | 144 (20.9) | 101 (23.5) | |
| 649 (39.5) | 29 (56.9) | 169 (35.6) | 254 (36.9) | 197 (45.8) | |
| 461 (28.0) | 8 (15.7) | 160 (33.7) | 193 (28.0) | 100 (23.3) | |
| 553 | 113 | 24 | 178 | 283 | |
| Year since hypertension diagnosis (>1 year), N (%) | 1816 (84.4) | 45 (67.1) | 487 (76.1) | 802 (87.8) | 482 (90.8) |
| 47 | 8 | 13 | 14 | 12 | |
|
| – | ||||
| Patients on antihypertensive medication, N (%) | 2123 (96.6) | – | 653 (30.8) | 927 (43.6) | 543 (25.6) |
| Antihypertensive drug class, N (%) | – | ||||
| 1219 (57.4) | – | 324 (26.6) | 457 (37.5) | 438 (35.9) | |
| 1167 (55.0) | – | 122 (10.5) | 567 (48.5) | 478 (41.0) | |
| 981 (46.2) | – | 94 (9.6) | 505 (51.5) | 382 (38.9) | |
| 321 (15.1) | – | 32 (10) | 163 (50.8) | 126 (39.3) | |
| 466 (22.0) | – | 67 (14.4) | 138 (29.6) | 261 (56) | |
| 79 (3.7) | – | 12 (15.2) | 20 (25.3) | 47 (59.5) | |
| 33 (1.6) | – | 2 (6.1) | 4 (12.1) | 27 (81.8) | |
| Prescription of generic drug, N (%) | 801 (50.1) | – | 225 (48.9) | 298 (44.2) | 273 (62.5) |
| 599 | – | 193 | 253 | 106 | |
| Use of traditional medicine, N (%) | 512 (24.1) | – | 150 (23.7) | 231 (25.5) | 107 (20.6) |
| 70 | – | 21 | 22 | 23 | |
| Patient reported adherence to antihypertensive medication, N (%) | 1359 (64) | – | 397 (29.2) | 597 (43.9) | 365 (26.8) |
| Office blood pressure, mean (SD) | – | ||||
| 148.9 (23.4) | – | 147.2 (21.6) | 147.1 (22.4) | 154 (26.5) | |
| 88.2 (14.2) | – | 89.2 (13.9) | 87.3 (14) | 88.7 (14.7) | |
| Blood pressure control (uncontrolled vs controlled), N (%) | 1630 (76.7) | – | 519 (79.7) | 682 (73.9) | 429 (79.4) |
| 10 | – | 2 | 5 | 3 | |
| Hypertension severity, N (%) | – | ||||
| 625 (38.3) | – | 212 (40.8) | 270 (39.6) | 143 (33.3) | |
| 543 (33.3) | – | 180 (34.6) | 226 (33.1) | 137 (31.9) | |
| 462 (28.3) | – | 127 (24.4) | 186 (27.3) | 149 (34.8) |
*Uncontrolled hypertension was defined by a systolic BP ≥140 mm Hg and/or a diastolic BP of ≥90 mm Hg on either of office BP measures in the clinic.
BP, blood pressure; RAS, renin–angiotensin system blocker.
Figure 1Antihypertensive drugs strategies (%) according to countries level income and countries. Bars represent the percentage of antihypertensive drugs strategies.
Figure 2OR of sociodemographic and treatments factors for uncontrolled hypertension among patients who declared to be adherent to medications in univariate analysis. Squares represent OR and lines, 95% CI. ORs derived from separated logistic regression with a random effect on country to account for inter-country variability. N represents overall for each variable. ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; RAS, renin–angiotensin system.
Figure 3OR of treatments factors for uncontrolled hypertension among patients who declared to be adherent to medications adjusted for sociodemographic factors in multivariate analysis. Squares represent OR and lines, 95% CI. ORs derived from separated logistic regression with a random effect on country to account for inter-country variability. N represents overall for each variable. ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; RAS, renin–angiotensin system.
Figure 4Proportion of monotherapy in patients with severe hypertension. Grey countries were not included in the Evaluation of Hypertension in Sub-Saharan Africa study.