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84

VOLUME 12 NUMBER 2 • NOVEMBER 2015

RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

300 mg/g.

13

Biochemical tests were performed with the use of a

chemistry analyser (Abbott Architect, Illinois, USA) at Muhimbili

National Hospital laboratory, which is the National reference

laboratory.

All patients gave written informed consent. The study was

ethically approved by the Muhimbili University of Health and Allied

Sciences’ research and publication committee.

All echocardiograms were performed by the same licensed

cardiologist, who had received special training in echocardiography

(PC), using a SONOS 7500 Phillips echocardiogrammachine. Patients

were examined in the left lateral decubitus position using a 3-MHz

transducer. The echocardiographic protocol included parasternal

long- and short-axis views of the left ventricle, left atrium and

aorta, as well as two-, three- and four-chamber images of the left

ventricle and pulsed Doppler recordings of LV filling. Spectral tissue

Doppler was recorded of mitral annular plane velocity in the apical

four-chamber view.

All images were recorded digitally on Magnetic Optical disks,

and interpretation of all digital echocardiograms was done at the

Department of Heart Diseases, Haukeland University Hospital using

a Tomtec (TomTech Imaging Systems GmbH, Unterschielssheim,

Germany) work station for post-processing. All studies were first

read by the primary investigator and then proof read by the senior

investigator, a highly experienced reader (EG).

Quantitative echocardiography was performed following the

American Society of Echocardiography guidelines.14 LV hypertrophy

was considered present when LVmass indexed for height

2.7

exceeded

49.2 g/m

2.7

in men and 46.7 g/m

2.7

in women.

15

RWT was calculated

as the ratio of end-diastolic posterior wall thickness to end-diastolic

LV internal radius and considered increased if ≥ 0.43.

Patients were categorised into four LV geometric patterns based

on LV mass/height

2.7

(LVMI) and RWT measurements in combination.

Normal geometry was considered present if LVMI and RWT were

both normal, concentric remodelling was the combination of

normal LVMI and increased RWT, eccentric hypertrophy was the

combination of LV hypertrophy and normal RWT, and concentric

LV hypertrophy was present if LV hypertrophy and increased RWT

were both present.

14

LV circumferential end-systolic stress (CESS) was estimated at

the midwall using a cylindrical model.

16

Myocardial contractility was

assessed by midwall fractional shortening (MWS), calculated using a

previously validated formula, taking into consideration the epicardial

migration of the midwall during systole.

17

Stress-corrected fractional

shortening (scFS) and stress-corrected MWS (scMWS) were calculated

as the ratio between actual and predicted FS and MWS for actual

CESS, respectively, using previously published equations.

17

Transmitral flowwas recorded with pulsed-wave Doppler between

the mitral cusp tips in the apical four-chamber view. The early (E) and

atrial (A) waves were traced for peak velocities and used to calculate

the E/A ratio. Isovolumic relaxation time was measured from the

leading edge of the aortic valve closure spike to the leading edge

of the mitral valve high-intensity echo in five-chamber view. Early

diastolic mitral annular plane velocity (E’) was measured by spectral

tissue Doppler in the apical fourchamber view.

18

Statistical analysis

Data management and statistical analysis was performed using SPSS

for Windows version 18.0. Data are presented as mean ± SD for

continuous variables and as percentages for categorical variables.

Groups of patients were compared using the

χ

2

test for categorical

variables and unpaired Student’s

t

-test, one way ANOVA with

Sheffe’s

post hoc

test or general linear model with Sidak’s

post hoc

test for continuous variables, as appropriate. Bivariate correlations

were assessed by Pearson’s correlation coefficients. Covariates of

increased RWT were identified in the total study population and

in groups of type 1 and type 2 diabetes patients by multiple linear

regression analyses, run with an enter procedure and co-linearity

statistics. A two-tailed

p

-value ≤ 0.05 was considered statistically

significant.

Results

The study population included 61 type 1 and 123 type 2 diabetes

patients. Compared to type 1 patients, type 2 patients were older,

had longer duration of diabetes and included more hypertensive

and obese patients (all

p

< 0.01) (Table 1).

Table 1.

Demographic and laboratory characteristics of type 1 and type

2 diabetes patients

Characteristic

Type 1 (

n

= 61) Type 2 (

n

= 123)

p

-value

Age (years)

21.7 ± 10.6

55.0 ± 9.6

< 0.001

Females,

n

(%)

34 (55)

78 (64)

0.265

Duration of diabetes (years)

8.2 ± 4.5

10.7 ± 6.3

0.005

Body mass index (kg/m

2

)

20.9 ± 4.4

28.4 ± 4.7

< 0.001

Obesity,

n

(%)

2 (3.3)

45 (36.6)

< 0.001

Waist circumference (cm)

74 ± 12

98 ± 11

< 0.001

Systolic blood pressure (mmHg) 117 ± 21

147 ± 22

< 0.001

Diastolic blood pressure (mmHg) 74 ± 14

88 ± 11

< 0.001

Hypertension,

n

(%)

11 (17.7)

100 (82.0)

< 0.001

Pulse pressure (mmHg)

43 ± 12

59 ± 17

< 0.001

Fasting blood glucose (mmol/l) 12.2 ± 4.4

10.4 ± 4.7

0.015

HbA

1c

(%)

10.9 ± 2.2

9.8 ± 2.3

0.003

Total cholesterol (mmol/l)

4.7 ± 1.6

5.6 ± 1.5

0.001

HDL cholesterol (mmol/l)

1.2 ± 0.4

1.2 ± 0.3

0.855

LDL cholesterol (mmol/l)

3.2 ± 1.3

4.0 ± 1.4

< 0.001

Triglycerides (mmol/l)

1.6 ± 1.6

1.7 ± 1.0

0.617

Serum creatinine (μmol/l)

84 ± 70

106 ± 77

0.058

eGFR (ml/min/1.73 m

2

)

106 ± 47

81 ± 24

< 0.001

Low eGFR,

n

(%)

6 (10)

21 (18)

0.268

Albuminuria,

n

(%)

24 (40.0)

39 (33.6)

0.412

Microalbuminuria,

n

(%)

16 (26.7)

33 (28.4)

0.860

Macroalbuminuria,

n

(%)

8 (13.3)

6 (5.2)

0.077

HbA

1c

= glycated haemoglobin, HDL = high-density lipoprotein, LDL = low-

density lipoprotein, eGFR = estimated glomerular filtration rate.

Figure 1

. LV geometric patterns in type 1 (red bars) and type 2 (grey bars)

diabetes patients. The differences between normal geometry and concentric LVH

were statistically significant, both

p

< 0.001.