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A Systematic Review of the Spectrum of Cardiac Arrhythmias in Sub-Saharan Africa Cover

A Systematic Review of the Spectrum of Cardiac Arrhythmias in Sub-Saharan Africa

Open Access
|May 2020

Figures & Tables

gh-15-1-808-g1.png
Figure 1

Systematic search for atrial arrhythmias, sudden cardiac arrest/sudden cardiac death & ventricular arrhythmias, bradycardia, and cardiac implantable electronic devices in sub-Saharan Africa.

AF/AFL (atrial fibrillation/atrial flutter); AJOL (African Journals Online); ICD (implantable cardioverter defibrillator); PPM (permanent pacemaker); SVTs (supraventricular tachycardias); SCA (sudden cardiac arrest); SCD (sudden cardiac death); SSA (sub-Saharan Africa); VT (ventricular tachycardia); VF (ventricular fibrillation). Initial search restricted to human studies published up to March 31st, 2019. *Studies not included in tables had relevant findings, but were too heterogenous to fit into a table.

Table 1

Atrial fibrillation studies in sub-Saharan Africa.

Author, Year & CountryMean age in yearsStudy size & populationGenderPrevalence of AFComorbiditiesAAM or rate-control medicationCHADS2 ≥ 1 or CHA2DS2 VASC ≥ 2, mean or medianOAC*FU & Mortality
Mwita [49]
2019
Botswana
66.7138; Tertiary hospitalFemales 63.8%
Males 36.2%
HTN 59%
RHD 38%
HF 36%
CVA/TIA 22%
DM 8%
Obesity 35%
Digoxin 32%
BB 70%
Amiodarone 0%
CCB 0%
Mean CHA2DS2
VASC 3.6
73.8%
(Warfarin 69%) in CHA2DS2
VASC ≥ 2
12 months mortality 14.5%
THESUS-HF
Registry [22]
2018
Multinational
(9 SSA countries)
57206/1006; Heart failureFemales 53.1%
Males 46.9%
21.8%HTN 52%
HF 100%
VHD 44%
CM 38%
CAD 5.3%
CVA 3.4%
Admission 52.2%
6 months FU 21.8%
16% rehospitalization or death at 60 days follow-up
Thomas [50]
2018
South Africa
42; Tertiary HospitalFemales 43.0%
Males 57.0%
Paroxysmal 50%
Persistent 29%
Permanent 12%
Atrial flutter 17%
5.8 years
CVA 10%
CM 17%
Muthalaly [51]
2018
Uganda
420/856; Rural communityFemales 62.5%
Males 37.5%
0%HTN 11.6%
DM 3.4%
CAD/HF 5.6%
CVA 2.7%
Temu [48]
2017
Kenya
37 NVAF
69 VAF
77 VAF/69 NAVF; Clinic and hospitalized patientsFemales 67.1%
Males 32.9%
-VAF/NVAF
HTN 29%/73%
HF 10%/49%
RHD 100%/0%
CVA 23%/26%
DM 1%/8.7%
BB 49%
Digoxin 36%
Mean CHADS2 score 2.2 for NVAF79% for NVAF
TTR 52% VAF, 56% NVAF
12 months mortality 10% VAF, 15% NVAF
Greffie [52]
2016
Ethiopia
67.494; Stroke patientsFemales 53.1%
Males 46.9%
28.7%
(Ischemic 34%
Hemorrhagic 14%)
Hospital case fatality with AF 22.2% & without AF 8%. 12 months mortality 14.5%
Lugero [43]
2016
Uganda
52102, Cardiology UnitFemales 56.9%
Males 43.1%
HTN 50%
HF 50%
RHD 32%
Obesity 10%
ICVA 12.8%
74.5%In hospital mortality 9.8%
Yameogo [45]
2016
Burkina Faso
65103/970; Cardiology departmentFemales 44.6%
Males 55.4%
10.6%
NVAF 66%
Paroxysmal 11.8%
Persistent 70.6%
Permanent 17.6%
HTN 66.2%
HF 86.8%
ICVA/TIA 33.8%
VD 20.6%
DM 20.6%
↑TSH 10.3%
97%
Median CHA2DS2VASC score = 3.9
35.3%
Ajayi [53]
2016
Nigeria
6755/1462;
Tertiary referrals
Females 47.3%
Males 52.7%
3.8%HTN 87.3%
HHD 65.5%
DCM 16.4%
CVA 40%
COPD 25%
DM 18%
↑TSH 4.4%
65.5%
Akpa [44]
2015
Nigeria
6068/228 cardiology unit/clinicFemales 42.6%
Males 57.4%
28.9%
VAF 14.7%
NVAF 85.3%
HHD 58.8%
DCM 19.2%
RHD 14.7%
Digoxin 92.6%
Amiodarone 6%
100%8.8%-
Mandi [40]
2015
Burkina Faso
6369 NVAF/159 ICVA patientsFemales 62.3%
Males 37.7%
43.3%
Paroxysmal 13%
Persistent 52%
Permanent 35%
HTN 85%
DM 21.7%
Prior ICVA 17.4%
Digoxin 7.3%
BB 27.5%
Amiodarone 20.3%
100%
Mean CHA2DS2VASC score = 4.7
52%21.7% in-hospital mortality
RE-LY Registry [41] (baseline data)
2014
Multinational
(included 10 SSA countries)
571137 (SSA only); Emergency presentationsFemales 53.1%
Males 46.9%
Paroxysmal 8.9%
Persistent 9.6%
Permanent 81.4%
HF 63.8%
HTN 54%
All VHD 32.6%
RHD 21.5%
CAD 5.5%
DM 14%
CVA/TIA 14.1%
BB 21.7%
Digoxin 34.5%
CCB 2.0%
Amiodarone 3.3%
Mean CHADS2 score 1.819.4%
TTR 32.7%
Jardine [39]
2014
South Africa
67302; National RegistryFemales 40.1%
Males 59.9%
Paroxysmal 32.1%
Persistent 21.2%
Permanent 46.7%
HTN 65.9%
HF 32.5%
VHD 27.5%
CAD 26.8%
DM 15%
ICVA/TIA 13.6%
Rate-control 63.9%
Rhythm-control 36.1%
BB 59.6%
CCB 13%
Class IC 3%
Class III 33.8%
DCCV 13.2%
Catheter ablation 4.2%
Mean CHA2DS2VASC score = 3.0875.2%
REMEDEY [24]
2016
Multinational (included 11 SSA countries)
28586/3343 (all study population); RHDFemales 66.1%
Males 33.9%
18–28% depending on income-levelRHD 100%40.7%69.5%
TTR 27.4%
2 years mortality 16.9%
Koopman [15]
2014
Ghana
66924; Rural populationFemales 48.1%
Males 51.9%
0.3%HTN 24%
CAD 1.2%
Shavada [37]
2013
Kenya
67162; Discharge diagnosisFemales 44.0%
Males 56.0%
Paroxysmal 40%
Persistent 20%
Permanent 40%
HTN 68%
HF 38%
DM 33%
CAD19%
VHD 12%
Rate-control 78%
Rhythm-control 22%
BB 46%
Digoxin 44%
CCB 9%
Amiodarone 10%
DCCV 8%
78%72%6months mortality 6.5%
Coulibaly [20] 2013
Mali
55111/3964; cardiac admissionsFemales 48.0%
Males 52.0%
2.8%
Permanent 73%
HHD 33%
VAF 33%
CAD 12.5%
CVA 20%
Digoxin 21%
BB 51%
CCB 1%
Amiodarone 13%
DCCV 0%
78.6%22.9%
Dewhurst [16]
2012
Tanzania
7815/2232; CommunityFemales 56.3%
Males 43.7%
0.67%One-year mortality 53%
Ntep-Gweth [38]
2010
Cameroon
66172; Office visitFemales 56.4%
Males 43.6%
Paroxysmal 23%
Persistent 22%
Permanent 56%
HTN 65%
HF 58%
HHD 48%
RHD 26%
CM 16%
DM 10%
CAD 6%
ICVA 16.1%
Rate-control 84%
Rhythm control 16%
BB 11%
Digoxin 62%
CCB 9%
Amiodarone 29%
DCCV 2.3%
91.9%34.2%29.5% died during 11 months of follow-up; 16.1% CVA
Sliwa [18]
2010
South Africa
59246/5328; Cardiac admissionsFemales 44.0%
Males 56.0%
4.6%HF 56%
HTN 60%
HHD 47%
VHD 44%
RHD 21%
CM 15%
CAD 6.5%
Alcohol 48%
BB 36%
Digoxin 24% Amiodarone 7.3%
33%
Mbaye [19]
2010
Senegal
57150; Cardiac admissionsFemales 68.7%
Males 31.3%
5,4%HHD 41%
VHD 37%
CM 4.7%
ICVA 14.7%
CAD 2.7%
Rate-control 87%
Amiodarone 7%
DCCV 1.3%
62%
Coulibaly [17] 2010
Ivory Coast
59217/3908; Cardiac admissionsFemales 64.8%
Males 35.2%
5.5%HF 63%
HHD 48%
RHD 28%
47%
Bhagat [54]
1999
Zimbabwe
200; Cardiology clinic79% urban
83% rural
38% urban
19% rural

[i] AAM (antiarrhythmic medication); BB (betablocker); CAD (coronary artery disease); CCB (non-dihydropyridine calcium channel blocker); CM (cardiomyopathy); COPD (chronic obstructive pulmonary disease); CVA (cerebrovascular accident); DCCV (direct current cardioversion); DM (Diabetes mellitus); FU (follow-up); HF (heart failure); HHD (hypertensive heart disease); HTN (hypertension); ICVA (ischemic cerebrovascular accident); NVAF (non-valvular atrial fibrillation); OAC (oral anticoagulation); RHD (rheumatic heart disease); TIA (transient ischemic attack); ↑TSH (hyperthyroidism); TTR (time in therapeutic range); VAF (valvular atrial fibrillation); VD (vascular disease); VHD (valvular heart disease). * Percentage of patients with CHADS2 ≥ 1 or CHA2DS2VASC ≥ 2 who were anticoagulated.

gh-15-1-808-g2.png
Figure 2

Trend of publications on cardiac arrhythmias from 1980 to March 31st, 2019 in sub-Saharan Africa.

Table 2

Sudden cardiac death/sudden cardiac arrest studies in sub-Saharan Africa.

Author, Year, countryMean age in years or age rangeSample sizeGenderStudy populationCPR attemptedRhythm of arrestROSCEtiologies & ComorbiditiesSurvival to discharge
Edwards-Jackson et al [57], 2019, Malawi30 days to 13 years135Paediatric population IHCA100%6%Malaria 51%0% (100% mortality)
Ngunga et al [58], 2018, Kenya61353Females 46.5%
Males 53.5%
IHCANot mentionedAsystole 47.6%, PEA 38.2%,
VT/VF 5.4%, Unknown 8.8%
Asystole patients 17.3%, PEA 40.7%, VT/VF 57.9%, Unknown 25.8%. Mean time to ROSC 5.3 minsHeart Failure 9.1%
HTN 39.7%
DM 25.5%
CAD 6.0%
CVA 4.9%
Cancer 9.1%
HIV/AIDS 14.5%
Sepsis 19%
4.2%
Bonny et al [59], 2017, CameroonMen 36
Women 35
27/288
Incidence of SCD
33.6 per 100 000
person-years
Females 48.1%
Males 51.9%
OHCA 63%3.7%Heart failure 14.8%
HTN 22.2%
DM 11.1%
CAD 7.4%
HIV 7.4%
Tropical disease 3.7%
Adekola et al [60], 2016,
Nigeria
1–18 years 23.33%
>18years 77.67%
60/4,229 casesFemales 55.0%
Males 45.0%
Perioperative cardiac arrests100%-56.7%No co-existing disease 81.2%
HTN 13.3%
DM 8.3%
Sickle cell 1.6%
Incidence in ASA III/IV/V >ASA I/II
20.6%
Talle et al [61], 2015,
Nigeria
49 all patients,
39 years SCD patients
Total 388 cardiac admissions, 56 deaths, 23 (41.1%) SCDFemales 52.2%
Males 47.8%
Cardiac admissions52.1%8.3%Heart failure 82.6%
CAD 39.1%
Peripartum CM 21.7%
DCM 17.4%
RHD 17.4%
HTN 47%
DM 21%
PHTN 4.3%
Akinwusi et al [62], 2013, Nigeria4629/718 (4%)Females 13.8%
Males 86.2%
Adult medical deathsCVD 51.7% (HHD 86.7%, HF 80%)
Respiratory 20.7%
PE 10.4%
CNS disease 13.8%
GI 13.0%
Chemical/drug 13.8%
HTN 48.3%
Tiemensma et al [64], 2012,
South Africa
42.6816Females 31.0%
Males 69.0%
Sudden and unexpected adult deathsCVD 17.2% (CAD 75.7%)
Respiratory 15.0%
CNS 7.5%
GI 2.9%
GU 1.2%
Kwari et al [63], 2010,
Nigeria
14/4,015Perioperative cardiac arrestPatients with ASA class III/IV risk status suffered more arrest than ASA I/II14%
Stein et al [65], 2009,
South Africa
Adults510OHCA40%
(By-stander 36%)
Median response time 9 minutes
VT/VF 23%. Only predictor of ROSC was shockable rhythm18%Cardiac causes 75%
Olotu et al [66], 2009,
Kenya
28 months114Females 40.0%
Males 60.0%
IHCA
Pediatric patients
100%26%Malaria
Septicemia
Severe malnutrition
16%
Rotimi et al [67], 2004,
Nigeria
Men 53.7
Women 52.2
79Females 25.3%
Males 74.7%
Medico-legal autopsiesHHD 83.5%
CAD 6.3%
Schneider et al [69], 2001, Ethiopia92Sudden unexpected deaths based on police reportsCAD 47.8%
RHD 7.6%
Rotimi et al [68], 1998,
Nigeria
28–80 years50Females 30.0%
Males 70.0%
Coroner’s autopsiesHTN 82%
Heart failure 68%
CAD 4%
Arthur et al [70], 1995,
Ghana
16Pediatric
patients
Cardiac disease 50%
Sickle cell 6.25%
Tuberculosis 6.25%
No chronic disease 37.5%

[i] ASA (American Society of Anesthesiologists); CAD (coronary artery disease); CNS (central nervous system); CPR (cardiopulmonary resuscitation); CVD (cardiovascular disease); DCM (dilated cardiomyopathy); DM (diabetes mellitus); GI (gastrointestinal); GU (genitourinary); HHD (hypertensive heart disease); HIV (human immunodeficiency virus); HTN (hypertension); IHCA (in-hospital cardiac arrest); OHCA (out-of-hospital cardiac arrest); PE (pulmonary embolism); PEA (pulseless electrical activity); PHTN (pulmonary hypertension); RHD (rheumatic heart disease); ROSC (return of spontaneous circulation); SCD (sudden cardiac death); VT/VF (Ventricular tachycardia/ventricular fibrillation).

Table 3

Reported underlying etiologies of sudden cardiac arrest/sudden cardiac death among adults in sub-Saharan Africa.

Cardiomyopathies [58, 61]
Hypertensive heart disease [58, 62, 67]
Coronary artery disease [58, 59, 61, 64, 69]
Rheumatic heart disease [61, 69]
Congenital heart disease [96]
Arrhythmogenic right ventricular cardiomyopathy [76, 77]
Hypertrophic cardiomyopathy [74, 75]
Brugada syndrome [78, 79]
Congenital Long QT syndrome (seen only in non-Black populations) [74, 88, 101]
Ventricular non-compaction [84]
Pulmonary embolism [62, 91]
Endomyocardial fibrosis [95]
Pulmonary hypertension [61]
Pericarditis (mainly tuberculous) [92]
Aortic dissection/rupture [64]
Endemic parasitic infections like trypanosomiasis & schistosomiasis [9, 59, 93]
Sarcoidosis [102, 103, 104]
Respiratory disease [58, 62, 64]
Septicemia [58, 66]
HIV/AIDS [58, 59]
Cancer [58]
Tuberculosis [58, 64, 70]
Renal disease [58, 64]
Liver disease [58, 64]

[i] N/B: Detailed investigations for the cause of SCA/SCD are sparse in SSA. Therefore, uncertainty remains about the relative frequencies of these underlying etiologies.

Table 4

Cardiac implantable electronic devices in sub-Saharan Africa.

Author, Year, countryMean age in yearsSample sizeGenderIndicationTypes of CIEDsChamber of implantationComplications
Tchoumi et al [108], 2019, Cameroon62130Females 40.0%
Males 60.0%
SSS 29.1%
AVB 88 70.9%
PPM 124
ICD 4
CRT 2
VVI 17.0%
DDD 81.5%
CRT 1.5%
- Pocket infection 4 (3.1%)
- Lead displacement 4 (3.1%)
- Pneumothorax 2 (1.5%)
- Hemothorax 2 (1.5%)
Adoubi et al [109], 2018, Ivory Coast67283Females 50.9%
Males 49.1%
SSS 17%
AVB 83%
PPM
Jouven et al [110], 2016,
14 SSA countries
502 during 16 missions to SSAPPM- No periprocedural complications
- 52% of patients initially listed as suitable died before the missions arrived
Jama et al [107], 2015, South Africa-126Females 52.9%
Males 47.1%
PPM
SSA 12.8%
AVB 79.4%
Others 7.8%
ICD
Secondary prevention 79.2%
Others 20.8%
PPM 102
New 50%
Recycled 50%
ICD 24
New 50%
Recycled 50%
PPM
VVI 79.5%
DDD 17.6%
Others 2.9%
ICD
VVI 100%
- No device infection,
malfunction, early battery depletion or device removal
in either the re-used or new devices groups
Ikama et al [111], 2015, Congo708/20 implantedFemales 50.0%
Males 50.0%
AVB 100%PPM- No complications
- 8 patients (40%) of the initial 20 died before mission arrived
Falase B et al [112], 2013, Nigeria6851Females 43.1%
Males 56.9%
SSS 9.8%
AVB 90.2%
PPMVVI 56.9%
DDD 43.1%
- Infection 3 (5.9%)
- Lead displacement 3 (5.9%)
- Pocket erosion 2 (3.9%)
- Death 1 (2%)
Kane et al [113], 2012, Senegal66107PPM- Infection 5.6%
Ekpe et al [119], 2008, Nigeria7023Females 48.0%
Males 52.0%
SSS 0%
AVB 100%
PPMEndocardial 65%
Epicardial 35%
Thiam et al [116], 2003, Ivory Coast92Females 48.9%
Males 51.1%
PPM
New 47%
Recycled 53%
VVI 87%
DDD 23%
- Infection 5 (5.4%)
- Lead displacement 3 (3.3%)
- Pacemaker syndrome 1 (1.1%)
- Death 1 (1.1%)
Millar et al [114], 2001, South Africa1643Public hospitals
SSS 16.2%
AVB 75.3%
AVNA 3%
Others 6.3%
Private hospitals
SSS 34.9%
AVB 45.3%
AVNA 13.6%
Others 7.6%
PPMPublic hospitals
AAI 0.4%
VVI 73%
VDD 14.5%
DDD 12.1%
Private hospitals
AAI 0.4%
VVI 53.3%
VDD 10.9%
DDD 42.3%
Diop et al [117], 2000, Senegal5412Females 41.7%
Males 58.3%
PPMVVI 41.7%
DDD 58.3%
- Pocket infection 2 (16.0%)
Mayosi et al [115], 1999, South Africa21–50232Females 41.8%
Males 58.2%
SSS 25%
AVB 62%
Others 13%
PPMVVI 65%
DDD 35%
Dos Santos et al [118], 1982, South Africa17–7857Females 61.0%
Males 39.0%
SSS 4%
AVB 91%
SSS + AVB 5%
PPMVVI 98.3%
DDD 1.7%
- Infection 2 (3.5%)
- Lead displacement 2 (3.5%)
- Erosion 3 (5.3%)

[i] AAI (single chamber atrial pacemaker); AVB (atrioventricular block); AVNA (atrioventricular node ablation); CIEDs (cardiac implantable electronic devices); CRT (cardiac resynchronization therapy); DDD (dual chamber pacemaker); ICD (implantable cardioverter defibrillator); LVEF (left ventricular ejection fraction); PPM (permanent pacemaker); SSA (sub-Saharan Africa); SSS (sick sinus syndrome); VDD (dual chamber sensing, ventricular pacing pacemaker); VVI (single chamber ventricular pacemaker).

gh-15-1-808-g3.png
Figure 3

Central illustration of cardiac arrhythmias in sub-Saharan Africa.

CIEDs (cardiac implantable electronic devices); CPR (cardiopulmonary resuscitation); CRT (cardiac resynchronization therapy); ICD (implantable cardioverter defibrillator); IHCA (in-hospital cardiac arrest); PPM (permanent pacemaker); OHCA (out-of-hospital cardiac arrest); ROSC (return of spontaneous circulation); SSA (sub-Saharan Africa); VT/VF (ventricular tachycardia/ventricular fibrillation).

DOI: https://doi.org/10.5334/gh.808 | Journal eISSN: 2211-8179
Language: English
Submitted on: Apr 17, 2020
|
Accepted on: Apr 17, 2020
|
Published on: May 8, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Matthew F. Yuyun, Aimé Bonny, G. André Ng, Karen Sliwa, Andre Pascal Kengne, Ashley Chin, Ana Olga Mocumbi, Marcus Ngantcha, Olujimi A. Ajijola, Gene Bukhman, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.