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VOLUME 12 NUMBER 1 • JULY 2015

31

SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

for their regular scheduled visit to the doctor/clinic were invited

to participate in the survey. Patients who agreed to participate

provided informed written consent.

CEPHEUS was a single-visit non-interventional study. Each

patient’s record form documented patient demographics, current

LLD treatment, smoking status, known diabetesmellitus (DM), family

history of premature vascular disease, known arterial hypertension

(HT) and cardiovascular medical history. Physical examination by

the investigator was limited to measurement of height, weight,

waist circumference and blood pressure. A fasting blood sample

was drawn to evaluate the serum lipid profile [total cholesterol,

LDL-C, high-density lipoprotein cholesterol (HDL-C), triglycerides

and apolipoprotein (apo) AI and apo B], fasting blood glucose (FG)

and glycosylated haemoglobin (HbA

1c

) levels.

The primary endpoint was the percentage of patients who

achieved the LDL-C goals according to either the NCEP ATP

III/2004 updated NCEP ATP III guidelines or the fourth JETF/South

African guidelines, which were current in South Africa at the time

the CEPHEUS SA study was conducted. Secondary endpoints

included achievement of LDL-C goals in patients with and without

features of the metabolic syndrome, and primary versus secondary

prevention.

The parent study (CEPHEUS-Europe) has been registered with

the US National Institutes of Health (ClinicalTrials.gov), number

NCT00542867. The CEPHEUS study was sponsored by AstraZeneca.

The sponsor oversaw data collection and monitored study sites.

The authors had full access to the study database and all analyses

reported here were performed independently of the sponsor.

Statistical analysis

We subdivided the cohort by gender and ethnicity for the purposes

of this analysis. The four major ethnic groups in South Africa were

black Africans, Caucasians, Asians (including patients of Indian

descent) and patients with mixed ancestry. The risk category was

determined for each patient and we calculated a dichotomous

variable for each patient indicating whether their LDL-C had

reached the guideline mandated target level.

We generated descriptive statistics for all clinical and laboratory

parameters, following subdivision by gender only, and then

following subdivision by both ethnicity and gender. We analysed

the effect of ethnicity and gender on goal attainment using logistic

regression with the logit function in a model that incorporated

ethnicity and gender simultaneously.

We calculated odds ratios and 95% confidence intervals for

the probability of not attaining LDL-C goal. The probability of not

attaining LDL-C goal was referenced against Caucasian ethnicity

and male gender, for which the odds ratio was set as 1. All

p

-values

are two-sided and we regarded

p

< 0.05 as statistically significant.

All analyses were performed with Statistica [StatSoft Inc (2011),

STATISTICA (data analysis software system) version 10, www.

statsoft.com

].

Results

A total of 3 001 patients consented to participate in the survey. Full

data sets were available from 2 996 patients and form the basis

of this report. About two-thirds of patients were recruited from

the private healthcare sector, with the remaining one-third coming

from public sector institutions.

Demographic, anthropometric and clinical data are shown in

Table 1. Of the total group, 47.1% had known DM but 2.4% of

patients who did not give a history of DM had FG levels that would

qualify for the diagnosis of DM. Glycaemic control in patients who

gave a history of DM was generally poor, with a mean HbA

1c

level

of 8.33%.

The prevalence of a history of HT in this study was 71.6%. The

mean systolic blood pressure in the entire study cohort was 133.2

mmHg, with a diastolic pressure of 80.2 mmHg. In those subjects

with a history of HT (Table 2), the mean systolic blood pressure was

136.1 mmHg, with a diastolic pressure of 81.3 mmHg. African-

ancestry males had the highest systolic blood pressure and females

of mixed ancestry the highest diastolic blood pressure but the inter-

ethnic differences were small.

More Caucasian patients were receiving LLDs for primary

prevention compared to those of African ancestry, few of whom

were on treatment for primary prevention. The majority were

receiving treatment for the CVD risk equivalent of DM.

The percentage of African patients who were on LLDs for coronary

artery disease (CAD) was lower than that seen in the other ethnic

groups. The prevalence of CAD was higher in males than in females

in all ethnic groups. Among male participants, CAD rates were

highest in men of Caucasian, Asian and mixed ancestry. Among the

women, the highest prevalence of CAD was in women of mixed and

Asian ancestry. Few African patients gave a family history of CAD

and the percentage of smokers was also lowest among the African

patients. Most patients (95.9%) were on LLD monotherapy, with this

being almost exclusively (98.9%) statin based.

Table 1.

Baseline characteristics

Entire study

Caucasian

African

Mixed ancestry

Asian

Characteristics

Male Female Male Female Male Female Male Female Male Female

Number

1572

1424

818

567

168

342

222

259

364

256

Mean age (years)

59.2

59.6

60.9

62.0

57.4

57.4

58.1

59.0

56.8

58.0

Current smoker (%)

18.6

10.8

15.9

14.3

15.6

2.6

25.1

19.7

21.4

5.1

Family history of vascular disease (%)

27.0

29.5

29.0

36.3

4.1

11.1

25.2

30.9

39.2

37.5

Mean body mass index (kg/m

2

)

29.2

30.8

30.0

29.4

29.3

34.2

29.0

31.2

27.6

29.4

Mean waist circumference (cm)

101.0 101.0 105.7

95.6

101.5 102.2 101.7 100.4

99.4

97.6

Known diabetes mellitus (%)

45.8

48.5

34.4

26.8

70.6

74.9

54.1

54.5

38.7

55.1

Known systemic hypertension (%)

68.8

74.6

64.7

64.7

84.6

88.9

76.6

84.2

65.8

67.9

History of coronary heart disease (%)

45.8

23.9

46.3

19.6

19.0

14.3

58.1

38.2

49.4

31.6

History of cerebrovascular disease (%)

5.8

4.8

5.3

4.4

5.9

6.1

6.3

4.2

6.3

4.2

History of peripheral arterial disease (%)

6.2

3.5

7.8

3.2

3.0

2.6

6.8

6.2

3.3

2.7