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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 27, No 4, July/August 2016

264

AFRICA

The Cobas Integra 400 (Roche

®

Clinical System, Roche

Diagnostics, Indianapolis, IN) was used to assess the quantitative

aspectof totalcholesterol(TC),high-densitylipoproteincholesterol

(HDL-C), triglycerides (TG), gamma-glutamyltransferase (GGT),

creatinine and high-sensitivity C-reactive protein (hsCRP) levels in

the serum samples, and glucose levels in fluoride plasma samples.

Glycosylated haemoglobin (HbA

1c

) levels were determined from

EDTA whole blood with ion-exchange high-performance liquid

chromatography (D-10 haemoglobin testing system, Bio-Rad

#220-0101).

The Friedewald formula was used to calculate the quantitative

aspect of low-density lipoprotein cholesterol (LDL-C).

23

The

estimated creatinine clearance (CrCl) rate was calculated with

the Cockcroft–Gault formula.

24

We determined serum interleukin-6 (IL-6) levels with an

electro-chemiluminescence immunoassay (Cobas e411 analyzer,

Roche, Basel, Switzerland). Serum intercellular adhesion molecule

1 (sICAM-1) and vascular cell adhesion molecule 1 (sVCAM-

1) concentrations were assessed by sandwich ELISAs (human

sICAM-1 and human sVCAM-1 assay, IBL, Hamburg, Germany).

Statistical analysis

Statistical analyses were performed using Statistica

®

12 (StatSoft,

Inc, Tulsa, OK, USA). Descriptive statistics, including the

mean and standard deviation, were performed on data with a

normal distribution. If not normally distributed, the data were

logarithmically transformed and presented as the geometric

mean and the fifth and 95th percentiles.

We used independent

t

-tests to determine differences between

normotensives and hypertensives or chi-squared tests for

categorical variables. We compared the groups using ANCOVA

while adjusting for age, gender, WC, GGT, tobacco and anti-

hypertensive medication use. We plotted quartiles of cSBP

against carotid features, and compared carotid features using

ANOVA and ANCOVA while adjusting for cSBP.

We used single and linear regression analyses to determine

associations between carotid measures and cardiometabolic

risk factors, health behaviours, inflammation and endothelial

activation. Multiple regression analyses were done to determine

independent associations between the carotid characteristics

and cardiometabolic risk factors, with the dependent variables

including CD and IMT, and CSWA and max LD. The following

co-variates were included in the regression model: locality,

gender, age, WC, cSBP, heart rate, LDL-C, HbA

1c

, CrCl,

hsCRP, ICAM-1, GGT, tobacco use and additionally for the

hypertensive group, anti-hypertensive medication use.

Results

The characteristics of normotensive and hypertensive black

Africans are shown in Table 1. The hypertensives were older,

had a higher BMI and WC, and a larger percentage were from

an urban area than the normotensives. All the cardiovascular

measurements, as well as carotid characteristics, glycaemic and

inflammatory markers, ICAM-1, TG, GGT and self-reported

alcohol use were significantly higher in the hypertensive group.

After adjustments for age, gender, WC, GGT, tobacco

and anti-hypertensive medication use (Table 2), all carotid

characteristics except IMT remained significantly different.

The inflammatory and glycaemic markers, lipids and adhesion

molecules did not differ however after the above adjustments.

The carotid characteristics plotted against quartiles of

cSBP are shown in Fig. 2. All the carotid characteristics

changed significantly with increasing cSBP before and after the

adjustments.

Table 1. Characteristics of normotensive and

hypertensive black Africans

Normotensive

(

n

=

241)

Hypertensive

(

n

=

351)

p

-value

Men,

n

(%)

90 (37.3)

129 (36.8)

0.88

Urban,

n

(%)

78 (32.4)

178 (50.7)

<

0.001

Age, years

52.8

±

8.93

59.0

±

10.0

<

0.001

Anthropometry

Waist circumference, cm

78.7

±

11.9

84.7

±

13.5

<

0.001

Body mass index, kg/m

2

24.7

±

6.87

26.6

±

7.85

0.003

Cardiovascular measures

Brachial SBP, mm Hg

119

±

11.9

157

±

22.4

<

0.001

Brachial DBP, mm Hg

78.9

±

7.23

100

±

12.5

<

0.001

Heart rate, bpm

61.8

±

14.7

67.8

±

17.9

<

0.001

Central SBP, mm Hg

116

±

12.8

150

±

22.2

<

0.001

Central PP, mm Hg

37.4

±

11.8

50.9

±

20.4

<

0.001

Carotid dorsalis pedis PWV, m/s

8.25

±

1.35

10.0

±

1.89

<

0.001

Carotid characteristics

Distensibility

×

10

-3

, 1/kPa

4.72

±

2.00

3.02

±

1.83

<

0.001

Young’s elastic modulus

×

10

3

, kPa 2.17

±

1.07

3.72

±

2.20

<

0.001

Beta-stiffness index

7.10

±

2.62

9.37

±

4.51

<

0.001

Intima–media thickness

,

mm

0.68

±

0.13

0.77

±

0.17

<

0.001

Cross-sectional wall area, mm

2

14.2

±

4.41

17.4

±

5.30

<

0.001

Lumen diameter maximum, mm 6.18

±

0.77

6.60

±

0.85

<

0.001

Lumen diameter minimum, mm 5.74

±

0.72

6.22

±

0.83

<

0.001

Lipids

HDL-C, mmol/l

1.45

±

0.65

1.51

±

0.60

0.30

LDL-C, mmol/l

2.86

±

1.17

2.96

±

1.14

0.29

Triglycerides, mmol/l

1.09 (0.57–2.11) 1.20 (0.59–2.89)

0.039

Glycaemia

Glucose, mmol/l

4.86 (3.91–6.06) 5.27 (3.96–7.90)

<

0.001

HbA

1c

(%)

5.94 (5.30–6.80) 6.08 (5.20–7.80)

0.038

Inflammatory markers

Interleukin-6, pg/ml

3.39 (0.75–23.5) 4.43 (0.75–20.0)

<

0.001

C-reactive protein, mg/l

2.96 (0.21–32.6) 3.84 (0.38–28.4)

0.022

Adhesion molecules

Intercellular adhesion molecule-1,

pg/ml

286

±

92.7

321

±

111

<

0.001

Vascular adhesion molecule-1,

pg/ml

732 (442–1388) 762 (443–1735)

0.23

Renal function

Creatinine clearance, ml/min

91.4 (53.7–163) 91.6 (47.7–164)

0.94

Health behaviours

γ

-glutamyl transferase, U/l

33.7 (11.9–167) 52.7 (13.6–347)

<

0.001

Self-reported alcohol intake,

n

,

total (%)

60/220 (27.3)

159/336 (47.3)

<

0.001

Self-reported tobacco use,

n

,

total (%)

117/229 (51.1)

159/341 (46.6)

0.56

Anti-hypertension medication,

n

,

total (%)

124/351 (35.3)

Lipid-lowering medication,

n

,

total (%)

5/351 (1.42)

Anti-inflammatory medication,

n

,

total (%)

21/351 (5.98)

Data are arithmetic means

±

SD or geometric mean (fifth and 95th percentile

intervals) for logarithmically transformed.

n

, number of participants; SBP, systolic blood pressure; DBP, diastolic blood pres-

sure; PP, pulse pressure; PWV, pulse wave velocity; HDL-C, high-density lipopro-

tein; LDL-C, low-density lipoprotein; HbA

1c

, glycated haemoglobin.