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Clinical Profiles and Outcomes of Heart Failure in Five African Countries: Results from INTER-CHF Study Cover

Clinical Profiles and Outcomes of Heart Failure in Five African Countries: Results from INTER-CHF Study

Open Access
|Jul 2021

Figures & Tables

Figure 1

(a) INTER-CHF study sites. (b) Common etiologies of Heart Failure in the 5 African countries.

a) Legend: African countries involved in INTER-CHF with recruitment numbers: Nigeria (383 patients), South Africa (169 patients), Sudan (501 patients), Uganda (151 patients), and Mozambique (90 patients). Total recruitment (1,294 patients).

b) Legend: Prevalence of common etiologies of heart failure in the five African countries in INTER-CHJF study. It shows that hypertensive heart disease (HD) was the most common etiology in Nigeria, Uganda, Mozambique and overall, while ischemic HD was the most common in South Africa and Sudan.

Table 1

Baseline characteristics and treatments.

VariablesOverall Mean(SE)or n(%) N = 5823Africa Overall Mean(SE)or n(%) N = 1294Nigeria Mean(SE)or n(%) N = 383SouthAfrica Mean(SE)or(%) N = 169Sudan Mean(SE)or n(%) N = 501Uganda Mean(SE)or n(%) N = 151Mozambique Mean(SE) or n(%) N = 90
Demographic characteristics
Age, years59.3(0.2)53.4(0.4)50.8(0.8)53.3(1.2)56.8(0.7)52.3(1.3)46.2(1.7)
Males3495(60.7)662(51.9)203(54.3)95(56.2)290(56.1)41(27.5)33(40.1)
Employed Status1480(16.8)426(21)176(41.8)75(41.6)103(18.5)32(20.9)40(41)
Illiterate1319(14.8)495(42.9)113(29.9)4(1.87)279(55.3)79(46.9)20(22.2)
No Health Insurance2477(38.5)878(66.9)372(97.1)40(22.8)227(45.3)150(99.4)89(98.9)
In-patient status at recruitment2105(34.3)616(48.6)119(30.5)24(13.9)423(84.5)39(26.6)11(12)
Clinical characteristics
NYHA class 1802(11.9)105(7.23)14(3.5)43(24.9)27(5.35)7(4.77)14(15.1)
NYHA class 22548(44.6)487(37.1)134(34.5)67(40)202(41.5)28(17.3)56(59.9)
NYHA class 31756(28.80440(35.3)152(40)39(23)171(33.5)60(40.2)18(20.9)
NYHA class 4714(8.95)262(20.6)83(21.7)20(11.6)101(19.4)56(38.4)2(2.38)
BMI, Kg/m226.2(0.08)25.5(0.17)25.1(0.29)30.1(0.45)25.3(0.26)21.8(0.47)24.9(0.61)
SBP, mmHg125(0.3)124(0.6)122(1.2)129(1.8)119(1.1)129(2.0)121(2.5)
DBP, mmHg75.7(0.18)78.6(0.38)78.8(0.79)82.0(1.19)75.9(0.70)84.9(1.27)74.5(1.64)
Pulse Rate/min80.3(0.22)87.6(0.46)88.0(0.91)81.2(1.36)90.4(0.80)94.6(1.46)82.3(1.89)
Time of HF diagnosis <1 year2385(40.5)715(53.9)217(56.3)79(47.3)263(55.4)110(71.90)46(48.3)
Hypertension3549(64.2)690(62.1)252(71.5)100(60.5)207(36.9)104(76.7)27(39.4)
Diabetes mellitus1728(28.7)201(17.2)41(10.5)34(18.9)113(19.8)12(8.01)1(1.24)
Dyslipidemia1812(31.2)207(21)59(19.7)63(36.8)69(12.2)11(13.40)5(6.5)
Chronic Kidney Disease487(7.12)45(3.81)17(4.84)14(7.98)11(1.98)3(2.72)0(0)
Current Tobacco554(5.54)78(3.55)10(1.83)29(13.1)31(4.45)6(3.99)2(1.89)
Alcohol798(7.87)194(10.6)61(12.4)60(30.4)19(2.36)25(20)29(36.9)
Prior Stroke405(5.88)55(4.97)9(2.45)13(7.73)28(5.62)3(2.48)2(2.69)
Previous MI1114(17.7)97(8.26)4(0.95)41(23.6)46(7.93)6(8.97)0(0)
HF Hospitalization in Past year1567(25.2)420(32.3)94(24.5)60(35)201(39.1)24(16.7)41(47.5)
History of COPD450(6.05)26(2.22)5(1.41)18(10.2)2(0.34)1(0.63)0(0)
MOCA20.5(0.09)17.7(0.21)21.7(0.29)23.0(0.46)13.6(0.29)24.3(1.08)18.5(0.64)
Treatments
BetaBlockers3768(66.5)634(48.4)112(29.1)108(63.8)267(51.9)105(71.8)42(49.3)
ACE or ARB4322(74)990(77.7)316(83.3)127(75.4)343(67)124(84.3)80(90.7)
Aldosterone antagonists2913(48)787(59.1)343(89.4)81(47.6)331(66.4)26(17.8)6(6.4)
Diuretics4414(78)1214(93.7)360(94)141(83.8)489(97.8)140(93)84(92.7)
Digoxin1550(26)443(31.8)264(68.5)32(18.9)72(14.9)38(24.3)37(38.5)
Warfarin858(14)222(16.7)112(29.1)32(18.6)66(12.70)4(2.82)8(9.32)
Investigations
Creatinine, μmol/L112(1.15)129(2.57)111(5.73)104(9.98)139(5.63)175(14.0)130(11.4)
Hemoglobin, g/dL125(0.33)119(0.77)119(1.70)128(2.40)117(1.27)129(3.46)124(2.50)
Sinus Rhythm3699(75.7)728(75.2)239(74.7)102(81.7)255(73.6)60(79)72(83.1)
Atrial Fibrillation850(17.3)154(16.6)50(15.5)8(6.23)74(21.4)10(10.6)12(12.4)

[i] Key: SE, standard error; n, number of patients; NYHA, New York Heart Association; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HF, heart failure; MI, myocardial infarction; HF, heart failure; COPD, chronic obstructive airway disease; MoCA, Montreal Cognitive Assessment; ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker; normal ranges: serum creatinine 30–111 μmol/L; hemoglobin 13.7–16.7 g/dL.

Table 2

Etiologies of Heart Failure.

VariablesAfrica Overall N = 1294Nigeria N = 383South Africa N = 169Sudan N = 501Uganda N = 151Mozambique N = 90
Hypertensive HD3565.113.611.746.924.7
Ischemic HD203.0144.925.31.091.27
Idiopathic – DCM14.110.68.6120.922.218.3
Rheumatic HD7.25.33.316.81319.3
Valvular Non-Rheumatic HD2.32.02.21.37.82.4
HIV Cardiomyopathy0.70.23.300.833.8
Alcohol/Drug induced CMP0.660.681.10.4302.4
EMF0.2600.4501.82.2
PPCM0.140.580.600.1700.38
Post Chemotherapy HD0.1200.69000
Tuberculosis related HD0.0900.51000.82
Congenital HD0.080.2600.170.580
Endocrine/Metabolic5.40.733.5111.90.9
Other causes13.311.616.211.43.923.5
Unknown etiology0.601.10.8700

[i] Key: HD, heart disease; DCM, dilated cardiomyopathy; HIV, human immunodeficiency virus; CMP, cardiomyopathy; EMF, endomyocardial fibrosis; PPCM, peripartum cardiomyopathy. Values are expressed as proportions in percentages.

Figure 2

Kaplan Meir curves: (2a) Death outcome by Region. (2b) Death outcome by Sex.

Legend: Kaplan Meier survival cures describing mortality pattern in the five African countries (Figure 2a) and in males and females (Figure 2b), over one year.

Table 3

Outcomes.

VariablesOverall Africa N = 1294Nigeria N = 383South Africa N = 169Sudan N = 501Uganda N = 151Mozambique N = 90P-VALUE
Death at Year 126.412.311.842.732.513.3<0.0001*
Hospitalization at Year 124.320.616.637.36.013.3<0.0001*
Death or Hospitalization at Year 13925.321.959.735.121.1<0.0001*
Cardiac Death at Year 19.07.37.113.60.77.8<0.0001*
Non-Cardiac Death at Year 12.91.63.64.403.30.0038*
Unknown Death at Year 114.63.41.224.831.82.2<0.0001*

[i] Key: Values are expressed as proportions in percentages; * p-value statistically significant.

Table 4

Correlates of mortality.

VariablesUnadjusted HR (95% CI)P-valueAdjusted HR (95% CI)P-Value
Model 1
Age (Unit = 10), years1.10 (1.03–1.17)0.007*1.10 (1.01–1.21)0.037*
Sex: Male vs Female1.35 (1.09–1.68)0.006*1.42 (1.06–1.92)0.020*
Model 2
Age (Unit = 10), years1.10 (1.03–1.17)0.007*1.09 (0.98–1.20)0.102  
Sex: Male vs Female1.35 (1.09–1.68)0.006*1.324 (0.96–1.82)0.084  
SBP (Unit = 10), mmHg0.86 (0.82–0.91)<0.001*0.86 (0.81–0.93)<0.001*
Chronic Kidney Disease: Yes vs No1.62 (1.01–2.61)0.047  2.790 (1.55–5.02)<0.001*
History of Diabetes Mellitus: Yes vs No1.45 (1.11–1.89)0.007  1.12 (0.77–1.64)0.552  
NYHA Class:(3 or 4 vs 1 or 2)1.71 (1.37–2.14)<0.001*1.04 (0.76–1.43)0.788  
In patient vs Out Patient3.66 (2.89–4.64)<0.001*2.92 (2.09–4.10)<0.001*
Prior hospitalization for HF: Yes vs No1.74 (1.41–2.16)<0.001*1.42 (1.07–1.89)0.016*
Ischemic Etiology: Yes vs No1.27 (0.98–1.64)0.075  0.96 (0.67–1.38)0.813  
Depressed LV function: Yes vs No1.08 (0.83–1.41)0.580  0.91 (0.67–1.24)0.552  
Valve Disease: Yes vs No2.54 (1.88–3.44)<0.001*1.88 (1.33–2.66)<0.001*
COPD: Yes vs No0.63 (0.26–1.52)0.303  0.82 (0.30–2.26)0.700  
BMI Kg/m20.96 (0.94–0.98)<0.001*1.00 (0.97–1.02)0.832  
Smoking: Current vs former or Never0.75 (0.46–1.23)0.256  0.78 (0.40–1.50)0.451  
On Beta Blocker: Yes vs No1.01 (0.81–1.25)0.950  0.80 (0.59–1.08)0.152  
On ACEI/ARB: Yes vs No0.68 (0.54–0.85)0.001  0.86 (0.62–1.19)0.355  
On Aldosterone Inhibitor: Yes vs No0.92 (0.74–1.14)0.459  0.82 (0.60–1.12)0.222  
On Digoxin: Yes vs No0.61 (0.48–0.77)<0.001*0.69 (0.49–0.97)0.034*

[i] Key: HR, hazard ratio; NYHA, New York Heart Association; BMI, body mass index; SBP, systolic blood pressure; COPD, chronic obstructive airway disease; ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker; * p-value statistically significant.

Figure 3

Etiologies of HF in INTER-CHF Africa and THESUS-HF cohorts.

Legend: Common etiologies of HF in the INTER-CHF (Africa and other regions) and THESUS-HF cohorts. HHD, hypertensive heart disease; DCM, dilated cardiomyopathy; RHD, rheumatic heart disease; IHD, ischemic heart disease; PPCM, peripartum cardiomyopathy.

DOI: https://doi.org/10.5334/gh.940 | Journal eISSN: 2211-8179
Language: English
Submitted on: Oct 23, 2020
Accepted on: Jul 15, 2021
Published on: Jul 30, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Kamilu M. Karaye, Hisham Dokainish, Ahmed ElSayed, Charles Mondo, Albertino Damasceno, Karen Sliwa, Kumar Balasubramanian, Alex Grinvalds, Salim Yusuf, on behalf of investigators of INTERnational Congestive Heart Failure (INTER-CHF) Study, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.