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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 29, No 3, May/June 2018

AFRICA

143

of AF in patients hospitalised for AHF. Significantly, this study

describes an important sub-population of patients with AF,

namely AF due to valvular (mostly rheumatic) heart disease,

which is still relatively prevalent in sub-Saharan Africa.

17-21

The prevalence of AF was 21%, which is generally lower

than that reported in previous studies, ranging between 23 and

41%.

22-25

Among acutely decompensated HF patients, 20 to 35%

will be in AF at presentation.

26

This difference may be due to the

fact that in sub-Saharan Africa, patients with AHF are younger

and have less incidence of ischaemic heart disease. Indeed in the

Heart of Soweto HF cohort, AF occurred in only 6.6% of all

2 393 HF cases within the entire study cohort.

17

This however

was not in the acute decompensated HF setting.

RHDwas the thirdcommonest causeof HF in theTHESUS-HF

study after hypertension and idiopathic dilated cardiomyopathy.

2

Almost half of all those with AF in this study had valvular disease

compared to 23% in those without AF. Valvular heart disease has

long been associated with the development of AF. Population-

based estimates from the Framingham data revealed that valvular

disease was associated with a 1.8-fold increase of risk of AF in

men and a 3.4-fold increased risk in women.

27

Although any valvular pathology can be related to AF,

stenotic left-sided valvular lesions (and in particular RHD) have

the highest prevalence rates. Severity of the obstruction follows

a dose–response relationship: prevalence of AF was 9.1% in

patients with mild-to-moderate aortic stenosis and 33.7% among

those with severe stenosis.

28,29

Likewise, the prevalence of AF

varies with the complexity of RHD: from 16% with isolated

mitral regurgitation to 29% with isolated mitral stenosis, to 52%

with coexisting mitral regurgitation and stenosis, and to 70%

with mixed mitral and tricuspid valve disease.

30

We found low rates of anticoagulation in this cohort. In a

prospective study of AF patients in Cameroon, only 34% of

patients with an indication for oral anticoagulation received

it;

31

similar to the 33% of patients with AF who received

warfarin in the Heart of Soweto study.

17

In this study 52%

of our patients with AF received oral anticoagulants. By

contrast, a much higher percentage of patients received an

anticoagulant in Senegal, where in a retrospective hospital-based

study, anticoagulation with warfarin was established in 62%

of cases.

32

In the REMEDY registry,

18

40.7% of patients had

indications for oral anticoagulants and they were prescribed in

69.5% of patients. The use of oral anticoagulants was high in

patients with mechanical heart valves (91.6%) and AF (68.6%),

but low in those with mitral stenosis in sinus rhythm with either

dilated left atrium or left atrial thrombus (20.3%).

A study at a private urban referral teaching hospital in

Nairobi, Kenya, found that 80% of patients with AF and a

CHADS2 score of 2 received anticoagulation.

33

Similarly, a

recent observational multicentre national registry in South

Africa indicated that 75% of patients with AF were on warfarin

for stroke prevention.

34

We did not collect data on the quality of

anticoagulation control in this study.

The presence of AF was not associated with all-cause death

or readmission within 60 days, but having valvular AF predicted

Table 5. Associations of valvular and non-valvular atrial fibrillation

with all-cause death within 180 days

Variable

HR for a

change of

Unadjusted hazard

ratio

Multivariable adjusted

hazard ratio

(95% CI

1

)

p

-value (95% CI

1

)

p

-value

Valvular atrial

fibrillation

Yes vs no

1.61

(1.00–2.58) 0.0475

1.61

(0.99–2.62)

0.0563

Non-valvular

atrial fibrillation

Yes vs no

0.69

(0.39–1.21) 0.1949

0.70

(0.39–1.26)

0.2331

Male gender

Yes vs no

1.36

(0.96–1.92)

0.0859

Haemoglobin

(g/dl)

1 unit

increase

0.93

(0.87–1.00)

0.0551

HIV positive

Yes vs no

1.82

(1.08–3.06)

0.0239

Current or

former smoker

Yes vs no

0.49

(0.24–0.99)

0.0479

Malignancy

Yes vs no

3.05

(1.24–7.54)

0.0157

Hx of cor

pulmonale

Yes vs no

2.04

(1.26–3.30)

0.0038

SBP (mmHg)

10 units

increase

0.85

(0.80–0.90)

< 0.0001

Orthopnoea

(2/3 vs 0/1)

2.32

(1.06–5.10)

0.0360

Peripheral

oedema

(2/3 vs 0/1)

1.76

(1.15–2.69)

0.0094

Rales

(2/3 vs 0/1)

1.71

(1.11–2.63)

0.0155

Creatinine

(mg/dl)

2

1.55 vs 0.90

1.37

(1.06–1.77)

0.0239

1

Hazard

ratio

from Cox

regression model.

2

Appropriate

transformation used due

to

the non-linear

relationship between

predictor and outcome.

Study day

0

10

20

30

40

50

60

Survival probability

1.00

0.95

0.90

0.85

0.80

0.75

0.70

0.65

Log-rank

p

-value vs no AF:

Valvular AF: 0.24

Non-valvular AF: 0.96

No AF

Valvular AF

Non-valvular AF

Fig. 1.

Kaplan–Meir plot: death or rehospitalisation up to day

60 based on presence and type of AF.

Study day

0 20 40 60 80 100 120 140 160 180

Survival probability

1.00

0.95

0.90

0.85

0.80

0.75

0.70

0.65

Log-rank

p

-value vs no AF:

Valvular AF: 0.06

Non-valvular AF: 0.23

No AF

Valvular AF

Non-valvular AF

Fig. 2.

Kaplan–Meir plot: death up to day 180 based on pres-

ence and type of AF.