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VOLUME 12 NUMBER 2 • NOVEMBER 2015

87

SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

LV geometry in diabetic populations from sub-Saharan Africa.

Therefore, the present study is among the few to report on

prevalence and covariates of abnormal LV geometry in diabetic sub-

Saharan African patients.

The study has many interesting findings, adding to current

knowledge on diabetic heart disease in Africans, in particular (1)

that abnormal LV geometry is common in sub-Saharan African

diabetic patients, (2) that concentric remodelling was the most

prevalent abnormal LV geometric pattern in this population and

associated with reduced LV myocardial contractility and delayed

diastolic relaxation, and (3) that a simple algorithm combining

everyday clinical and laboratory assessment may be used to identify

diabetic patients with high risk of cardiac target-organ damage.

Our findings add to a previous report by Ojji

et al

. on Nigerians

with type 2 diabetes.

21

In their study of 122 patients, abnormal

LV geometry was found in 51% of patients, compared to 74% in

the present study. Of note, the study by Ojji

et al

.

21

only included

normotensive type 2 diabetes patients, and as demonstrated

by our findings, hypertension was a strong covariate of having

both LV hypertrophy and increased RWT, probably explaining the

higher prevalence of abnormal LV geometry in the present study.

As demonstrated, age and systolic blood pressure were the main

confounders explaining the difference in LV structure between

groups of patients with type 1 or type 2 diabetes.

Hypertension, in particular isolated systolic hypertension,

increases in prevalence with aging, mainly as a consequence of

arterial stiffening imposing increased load on the left ventricle.

Older age has been documented to be particularly associated

with increased RWT, and with LV hypertrophy when hypertension

coexists.

22-24

However, despite differences in socio-demographic

backgrounds, our results were comparable to those reported by

Eguchi

et al

. from Japanese hypertensive patients with type 2

diabetes. In their study, including 161 patients, the prevalence

of concentric remodelling, eccentric hypertrophy and concentric

hypertrophy, respectively, were 29, 16 and 39%.

25

We found no previous echocardiographic study on LV geometric

patterns performed among type 1 diabetes patients from sub-

Saharan Africa, and our study is probably the first to describe

LV geometry in such patients. As demonstrated by our results,

abnormal LV geometry was found in 40% of type 1 diabetes

patients. Specifically, 30%of type 1 diabetes patients had concentric

remodelling, and this was the most common type of abnormal LV

geometry in this group. All six type 1 diabetes patients (10%) with

LV hypertrophy had eccentric LV hypertrophy.

Interestingly, none of the type 1 diabetes patients had concentric

LV hypertrophy, the most common abnormal LV geometric pattern

found among type 2 diabetes patients in the present study. This

finding could probably be explained by the low prevalence of

hypertension among type 1 diabetes patients in our study (18 vs

82%). Other investigators have reported a higher prevalence of LV

hypertrophy among type 1 diabetes patients with nephropathy.

26

Of note, in the present study population, all type 1 diabetes

patients with LV hypertrophy also had albuminuria (results not

shown), and albuminuria was identified as a main covariate of

LV hypertrophy in multivariate analysis. The beneficial impact of

renin–angiotensin inhibition on albuminuria and the prevention

of overt renal failure has previously been demonstrated in type 1

diabetes patients with microalbuminuria.

27

Whether the prevention

of progression to overt renal failure with the use of drugs that

inhibit the renin–angiotensin system will also prevent progression

to LV hypertrophy among type 1 diabetes patients is a question that

needs to be answered in future prospective studies in Africans.

The finding that higher RWT was significantly associated with

older age and higher blood pressure agree with previous reports

from epidemiological studies in North American Indians.

3

Importantly

though, as demonstrated by multivariate analysis in our study,

independent associations between increased RWT and measures of

systolic and diastolic LV function were found irrespective of presence

or absence of LV hypertrophy or hypertension. This is an important

finding because it emphasises the need to further stratify patients

into the different LV geometric patterns, rather than by presence or

absence of LV hypertrophy alone. The finding is particularly important

in the African diabetes context, as concentric remodelling (increased

RWT with normal LVMI) was found to be the most common abnormal

LV geometric pattern in the present study, as also previously reported

among African American hypertensive patients.

4

Table 5.

Independent covariates of higher RWT in total population and type 1 and type 2 diabetes patients

Total population (R2 = 0.69*)

Type 1 (R2 = 0.73*)

Type 2 (R2 = 0.66*)

Covariate

b

p

-value

b

p

-value

b

p

-value

Systolic blood pressure (mmHg)

0.301

< 0.001

0.442

< 0.001

0.233

0.001

Low eGFR (ml/min/1.73 m

2

)

0.131

0.007

0.009

0.909

0.150

0.024

Low stress-corrected MWS (%)

0.239

< 0.001

0.493

< 0.001

0.156

0.017

Isovolumic relaxation time (ms)

0.170

0.001

0.180

0.041

0.155

0.016

LV mass/height

2.7

0.187

0.001

0.091

0.284

0.189

0.008

Circumferential end-systolic stress (dyne/cm

2

)

–0.584

< 0.001

–0.682

< 0.001

–0.602

< 0.001

Male gender

0.083

0.065

–0.009

0.905

0.123

0.051

eGFR = estimated glomerular filtration rate, MWS = midwall shortening, *

p

< 0.001.

Figure 4.

Receiver-operator characteristic (ROC) curve for the clinical risk score

with best sensitivity (76%) and specificity (67%) in predicting high relative wall

thickness. The cut-off value for the risk score (13 points) identified by the ROC

analysis is indicated by an arrow. AUC = area under the curve, PPV = positive

predictive value.