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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 27, No 6, November/December 2016

364

AFRICA

increased with reduced eGFR and advancing age, respectively;

third, the MetS emerged as the main risk factor for uncontrolled

hypertension.

In this study, 77.5%of patients had uncontrolled hypertension.

This observation agrees with previous reports highlighting the

fact that in most countries, less than 30% of patients achieve BP

goals,

20

and therapy with a single antihypertensive agent fails to

achieve BP goals in up to 75% of patients.

21

The frequency of uncontrolled hypertension observed in

the present study was somewhat higher than that reported in

primary care settings by Rayner

et al

. (60.2%)

22

and Dennison

et

al

. (64% in the public sector and 49% in the private sector)

23

in

South Africa and by Onwemu

et al

. (29.4%)

24

in Nigeria. It was

also higher than that observed at tertiary care level by Yaméogo

et al

. (54.2%)

25

in Burkina Faso, by Kramoh

et al

. (56.3%) in

Ivory Coast,

26

and by Ayodele

et al

. (68.6%)

27

and Sani

et al

.

(67%)

28

in Nigeria.

Our clinically generated frequency of uncontrolled

hypertension was quite similar to the 76.4% reported by Dzudie

et al.

29

in Cameroon but lower than the 97, 94 and 86.4%

previously reported by M’Buyamba-Kabangu

et al

., Sumaili

et

al

. and Katchunga

et al

. in the general population of Kinshasa

and south-eastern part of Democratic Republic of Congo,

respectively.

4-6

Higher frequencies of uncontrolled hypertension

ranging from 82.2 to 97.4% were also reported by Hendricks

et al

. from Namibia to Kenya in a community-based cross-

sectional study.

30

Apart fromdifferences inmethodology applied and population

characteristics studied, the higher frequency of uncontrolled

hypertension in sub-Saharan Africa appears to be multifactorial

and is determined by patients, care providers and healthcare

systems.

31

Among the factors related to patients, non-compliance

with diet and antihypertensive therapy has been reported to be

an important determinant of uncontrolled BP.

32

Non-compliance with antihypertensive therapy emerged in

our study as the second risk factor associated with uncontrolled

hypertension but the difference was not statistically significant.

In many studies, non-compliance with antihypertensive

therapy was responsible for two-thirds of the cases of

uncontrolled hypertension.

33,34

Krousel-Woods

et al

.

33

found that

non-compliance was associated with a nearly two-fold greater

risk (OR 1.68; 95% CI 1.01–2.88) of uncontrolled BP. Yaméogo

et al

.

25

in Burkina Faso found that non-compliance with both

diet and antihypertensive therapy was associated with an eight-

fold (OR 8.40; 95% CI 1.11–4.17;

p

=

0.04) and nearly three-fold

greater risk of uncontrolled hypertension, respectively.

With regard to the care provider, clinical therapeutic inertia

has been reported to be a major contributor to uncontrolled

hypertension.

35

Although patients with a high to very high CV

risk level need more than two antihypertensive drugs to reach

the BP goal,

8

the majority of patients in our study were still

on monotherapy, indicating clinical therapeutic inertia. The

association of high to very high residual global CV risk has

been reported by Yaméogo

et al

.

25

in Burkina Faso and Kramoh

et al

.

26

in Ivory Coast, using the Framingham CV risk score

and 2007 ESH/ESC guidelines, respectively. In addition, Bohen

et al

.,

35

using a cohort of hypertensive diabetics, found that

non-intensification of therapy is frequent in this category of

patients and is responsible for uncontrolled BP and glycaemia.

Uncontrolled SBP is more frequent and its frequency

increases with advancing age, especially after 60 years. A

Table 3. Biological characteristics of the study population as a whole and

by blood pressure control status

Variable

n

Whole group

(

n

=

298)

Controlled

HT

(

n

=

67)

Uncontrolled

HT

(

n

=

231)

p

-value

Blood glucose, mg/dl

237 115

±

53

104

±

27

119

±

59 0.011

(mmol/l)

6.38

±

2.94 5.77

±

1.50 6.60

±

3.27

Lipids

259

TC, mg/dl

220

±

58

225

±

60

219

±

57 0.548

(mmol/l)

5.7

±

1.5 5.83

±

1.55 5.67

±

1.48 0.462

LDL-C, mg/dl

135

±

55

139

±

57

134

±

55 0.537

(mmol/l)

3.50

±

1.42 3.60

±

1.48 3.47

±

1.42

HDL-C, mg/dl

63

±

18

62

±

19

63

±

18

0.530

(mmol/l)

1.63

±

0.47 1.61

±

0.49 1.63

±

0.47

TG, mg/dl

111

±

51

118

±

62

109

±

47 0.261

(mmol/l)

1.25

±

0.58 1.33

±

0.70 1.23

±

0.53

Creatinine, mg/dl

255 1.04

±

0.56 0.95

±

0.27 1.07

±

0.62 0.133

(μmol/l)

91.94

±

9.50 83.98

±

23.87 94.59

±

54.81

eGFR, ml/min/0.73 m² 255 82

±

31

86

±

28

81

±

32

0.319

Uric acid, mg/dl

259 6.38

±

2.50 6.60

±

2.40 6.30

±

2.50 0.488

Data are expressed as mean

±

standard deviation (SD) or relative frequency (%).

TC, total cholesterol ; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-

density lipoprotein cholesterol; TG, triglycerides; eGFR, estimated glomerular

filtration rate.

Table 4. Cardiovascular risk factors among the study population as a

whole and by blood pressure control status

Variable

n

Whole

group

(

n

=

298)

Controlled

HT

(

n

=

67)

Uncon-

trolled

HT

(

n

=

231)

p

-value

Age, %

298 86

87

86

0.989

Smoking, %

298

3

2

3

0.348

Alcohol, %

298 17

18

17

0.462

Overweight, %

298 35

31

36

0.228

Obesity, %

298 17

16

22

0.228

Central obesity, %

298 66

66

66

1.000

Diabetes, %

298 37

22

42

0.003

Hypercholesterolaemia, % 259 17

61

51

0.229

Low HDL-C, %

259 16

13

24

0.034

Hypertriglyceridaemia, % 259 18

18

15

0.700

Hyperuricaemia, %

259 33

36

26

0.210

Dipstick proteinuria, % 227 16

18

12

0.396

Renal failure, %

255 30

12

21

0.103

ECG-LVH, %

164 21

16

14

0.843

MetS, %

298 10

8

15

0.105

Global CV risk, %

298

Low

31

69

19

0.0001

Moderate

39

18

45

0.0006

High/very high

30

13

38

0.03

Data are expressed as mean

±

standard deviation (SD) or relative frequency (%).

HDL-C, high-density lipoprotein cholesterol; ECG-LVH, electrocardiographi-

cally determined left ventricular hypertrophy; MetS, metabolic syndrome; CV,

cardiovascular risk.

Table 5. Multivariate independent determinants associated with

uncontrolled hypertension

Variable

B SE OR (95% CI)

p

-value

Constant

–1.901 0.924

MetS

+

vs MetS–

0.877 0.444 2.40 (1.008–5.735)

0.04

Non-compliance vs compliance

B, regression coefficient; SE, standard error; OR, odds ratio; MetS, metabolic

syndrome.