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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 31, No 6, November/December 2020

294

AFRICA

(0.11–0.56;

p

for linear trend < 0.0001), respectively (Table 4).

Fig. 2 illustrates the distribution of baseline HOMA-IR among

quartiles of NT-proBNP.

NT-proBNP and prospective association with diabetes:

the

relative risk of incident diabetes at re-examination decreased

significantly across quartiles of baseline values of NT-proBNP.

Compared with the lowest quartile of NT-proBNP, the OR (95%

CI) for incident diabetes in subjects belonging to quartiles two,

three and four was 0.54 (0.18–1.61), 0.43 (0.13–1.41) and 0.24

(0.06–0.96,

p

for linear trend = 0.041), respectively.

Bi-ethnic differences: in cross-sectional linear regression

analyses at baseline of the African subjects, each one SD increase

in baseline values of NT-proBNP was inversely associated with

body weight (

β

–3.52;

p

= 0.021), BMI (

β

–1.25;

p

= 0.019),

HbA

1c

(

β

–0.22;

p

= 0.027), insulin (

β

–1.76;

p

= 0.035) and TG (

β

–0.06;

p

= 0.002), and borderline associated with FPG (

β

–0.01;

p

= 0.062) (Table 5). In the cross-sectional linear regression

analyses at baseline of the Caucasian subjects, each one SD

increase in baseline values of NT-proBNP was significantly

inversely associated only with insulin (

β

–1.57;

p

= 0.015) and

HOMA-IR (

β

–0.52;

p

= 0.014) (Table 5).

In the African study participants, in cross-sectional age- and

gender-adjusted analyses at baseline, each one SD increment

of NT-proBNP was associated with reduced risk of prevalent

IGT (HbA

1c

: OR: 0.64; 95% CI: 0.44–0.92;

p

= 0.015),

hypertriglyceridaemia (OR: 0.61; 95% CI: 0.40–0.93;

p

= 0.022)

and insulin resistance (OR: 0.52; 95% CI: 0.35–0.77;

p

= 0.001)

(Table 6). In the Caucasian study participants, in cross-sectional

age- and gender-adjusted analyses at baseline, each one SD

increment of NT-proBNP was associated with reduced risk of

prevalent IGT (glucose: OR: 0.62; 95% CI: 0.43–0.89;

p

= 0.009),

the MetS (OR: 0.68; 95% CI: 0.49–0.96;

p

= 0.028) and insulin

resistance (OR: 0.64; 95% CI: 0.42–0.99;

p

= 0.046) (Table 6).

Discussion

In the SABPA study, undertaken in a middle-aged, bi-ethnic

cohort, we observed that NT-proBNP was inversely associated

with metabolic risk factors such as increased waist circumference

and BMI, hypertriglyceridaemia, hyperglycaemia and insulin

resistance. Moreover, in a prospective analysis, NT-proBNP

was inversely associated with incident diabetes, findings in line

with previous notions on NPs’ involvement in protection against

diabetes. Additionally, ethno-stratified analyses revealed that

low NT-proBNP levels in Africans were associated with several

metabolic conditions such as obesity, IGT, insulin resistance

and hypertriglyceridaemia, whereas low NT-proBNP levels in

Caucasians were associated with insulin resistance only.

The last two decades of research have demonstrated that

NPs play an important role in the control of energy usage,

20

and

Table 4. Associations of NT-proBNP quartiles

and prevalent insulin resistance

OR (95% CI)

p

-value

Continuous NT-proBNP

0.57 (0.43–0.76)

< 0.001

Dichotomous NT-proBNP

Q1 (lowest values)

Referent

Q2

0.83 (0.44–1.57)

0.564

Q3

0.30 (0.14–0.64)

0.002

Q4 (highest values)

0.25 (0.11–0.56)

0.001

p

for trend < 0.001

Age and gender adjusted. NT-proBNP = N-terminal pro-brain natriuretic

peptide; Q1 = quartile with the lowest NT-proBNP levels; Q4 = quartile with

the highest NT-proBNP levels.

Table 5. Bi-ethnic associations of one SD increment of NT-proBNP

and glucometabolic traits at baseline examination

Caucasian (

n

= 203)

African (

n

= 194)

Beta (SE)

p

-value

Beta (SE)

p

-value

Body weight (kg)

–0.70 (1.44)

0.628

–3.52 (1.20)

0.021

BMI (kg/m

2

)

–0.57 (0.46)

0.223

–1.25 (0,53)

0.019

Waist (cm)

–1.56 (1.10)

0.157

–2.06 (1.25)

0.101

HbA

1c

(%)

–0.061 (0.03)

0.052

–0.22 (0.10)

0.027

Glucose (mmol/l)

–0.01 (0.004)

0.072

–0.02 (0.01)

0.081

Insulin (μU/ml)

–1.57 (0.64)

0.015

–1.76 (0.83)

0.035

HOMA-IR

–0.52 (0.21)

0.014

–0.48 (0.27)

0.082

TG (mmol/l)

–0.03 (0.02)

0.124

–0.06 (0.02)

0.002

Linear regressions are adjusted for age and gender. NT-proBNP = N-terminal

pro-brain natriuretic peptide; BMI = body mass index; TG = triglycerides;

HOMA-IR = homeostatic model assessment of insulin resistance.

Quartiles of NT-proBNP

Q1

Q2

Q3

Q4

HOMA-IR

5.00

4.50

4.00

3.50

3.00

2.50

2.00

Fig. 2.

Distribution of baseline HOMA-IR among quartiles of

NT-proBNP. HOMA-IR

= homeostatic model assess-

ment of insulin resistance; NT-proBNP = N-terminal

pro-brain natriuretic peptide; Q1 = quartile with the

lowest NT-proBNP levels; Q4 = quartile with the high-

est NT-proBNP levels.

Table 6. Bi-ethnic associations of one SD of NT-proBNP increment and

glucometabolic states at baseline examination

Caucasian (

n

= 203) African (

n

= 194)

Dichotomous variables

OR 95% CI

p

-value OR 95% CI

p

-value

Waist

Caucasian cut-off

0.72 0.51–1.02 0.061 0.78 0.56–1.10 0.160

African cut-off

0.72 0.57–0.92 0.061 0.74 0.51–1.08 0.114

IGT (glucose > 5.6 mmol/l cut-off) 0.62 0.43–0.89 0.009 0.85 0.59–1.25 0.412

TG (TG >1.7 mmol/l cut-off)

0.66 0.42–1.04 0.075 0.61 0.40–0.93 0.022

Prevalent MetS

0.68 0.49–0.96 0.028 0.84 0.61–1.17 0.310

IGT (HbA

1c

> 5.7% cut-off)

0.92 0.64–1.33 0.657 0.64 0.44–0.92 0.015

Risk of belonging to HOMA-IR Q4 0.64 0.42–0.99 0.046 0.52 0.35–0.77 0.001

The results are calculated and presented for each ethnic group separately. Logistic

regressions are adjusted for age and gender. SD = standard deviation; NT-proBNP

= N-terminal pro-brain natriuretic peptide; IGT = impaired glucose tolerance; TG =

triglycerides; MetS = metabolic syndrome; HOMA-IR = homeostatic model assess-

ment of insulin resistance; Q4 = upper quartile of HOMA-IR. Ethnic waist cut-off

points are defined according to Alberti

et al.

19

and Botha

et al.

18