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SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

VOLUME 15 NUMBER 2 • NOVEMBER 2018

65

calculated automatically by the echocardiography machine from

M-mode-derived LV dimensions, using Teicholz’s formula:

LVEDV or LVESV = 7.0 × LVID

3

2.4 + LVID

Ejection fraction (EF) was calculated using the formula:

EF = EDV – ESV

EDV

× 100

The LV systolic function was considered normal if the EF was

greater than 50% and/or FS was greater than 25%.

14

The LV

diastolic function was assessed using Doppler modalities. Early

(E) and atrial (A) velocities as well as deceleration time (DT) were

measured using pulsed-wave Doppler by placing the sample

volume at the tips of the mitral leaflets in apical four-chamber view.

Isovolumic relaxation time (IVRT) was measured as the time interval

from the end of LV outflow and start of LV inflow, as indicated by

simultaneous registration of outflow and inflow signals by high-

frequency pulsed-wave Doppler.

Pulmonary venous flow (PVF), systolic (S), diastolic (D) and atrial

reversal (Ar) velocities were obtained by placing a pulsedwave

Doppler sample volume 1–2 cm into the pulmonary vein, proximal

to its insertion into the left atrium. E/A and S/D were calculated.

Diastolic function (DF) was categorised into grades according to

its progression to diastolic dysfunction (DD):

• normal DF: E/A between 1 and 2, IVRT 60–100 ms and DT 160–

240 ms

• grade 1 DD: E/A < 1, IVRT > 100 ms, DT > 240 ms

• grade 2 DD: E/A 1– 2, IVRT 60–100 ms, DT 150–220 ms, PVFS/D

< 1

• grade 3 DD: E/A > 2, IVRT < 60 ms, DT < 160 ms.15 where

DT is deceleration time and PVFS is pulmonary venous flow S

velocity.

Pulmonary artery systolic pressure (PASP) was estimated from

peak tricuspid regurgitant flow using continuous-wave Doppler.

Tissue Doppler echocardiography was not used because, at the

time the study was conducted, the echo machine used did not have

the facility.

Statistical analysis

Data obtained were analysed using STATA 10. Continous variables

are expressed as mean (± standard deviation) and categorical

variables as percentages. Categorical variables were analysed

using the chi-squared test. Student’s

t

-test and analysis of variance

(ANOVA) were used to analyse continuous variables. Correlates of

LV function were determined using Pearson’s rank correlation and

predictors were assessed using logistic regressions. A

p

-value ≤

0.05 was considered statistically significant.

Results

One hundred and ninety-three participants comprising 63 T2DM

patients with normoalbuminuria, 71 T2DM with microalbuminuria

and 59 controls were studied. The mean age for all participants

was 50 years and the three groups were age and gender matched.

Table 1 shows the clinical characteristics of the three study groups.

The duration since diagnosis of DM was significantly longer in the

microalbuminuric than in the normoalbuminuric diabetics (

p

=

0.02). WC, SBP and PR showed a significant stepwise increase from

control to microalbuminuric group (

p

< 0.001,

p

= 0.03,

p

= 0.03,

respectively). Weight, BMI, WHR, DBP and PP were comparable

among the three groups.

on oral antidiabetic drugs, and 59 non-diabetic age- and gender-

matched controls completed the study.

Exclusion criteria were hypertension (blood pressure ≥ 140/90

mmHg or use of antihypertensive drugs), age above 65 years,

macroalbuminuria, serum creatinine of ≥ 1.5 mg/dl, chest deformity

or long-standing chest disease evidenced on chest X-ray, sickle

cell disease, urinary tract infection, pregnancy, cardiac conditions

such as arrhythmia, heart failure, valvular heart disease, pericardial

disease, congenital heart disease, and ischaemic heart disease as

evidenced by clinical,electrocardiographic and echocardiographic

features.

Age, gender and duration of diabetes were recorded for each

subject. Weight was determined in kilograms (kg) using a weighing

scale, height using a stadiometer, and waist and hip circumferences

(WC and HC) were measured in centimetres (cm) using a tape

measure. Body mass index (BMI), body surface area (BSA) and

waist:hip ratio (WHR) were calculated.

Blood pressure was measured using an Accosson mercury

sphygmomanometer with appropriate sized cuff at the brachial

artery, Korotkoff phase 1 was used for systolic (SBP) and phase

5 for diastolic blood pressure (DBP) after at least 15 minutes of

rest in a sitting position. Pulse rate (PR) was measured at the radial

artery. The mean of three consecutive measurements, taken at five-

minute intervals, was recorded. An overnight fasting venous blood

sample was collected for measurement of levels of plasma glucose,

creatinine and urea, and lipid profile using standard protocols.

A two-step microalbuminuria screening process was conducted.

Combur 10 test strip (Roche Diagnostics, Mannheim, Germany), a

visual colorimetric semi-quantitative urine test strip, was used to

test for protein, blood, nitrite and leucocyte levels. If all were absent

then detection of microalbuminuria was performed on the same

urine sample.

Microalbuminuria was determined using Micral test strips, an

optically read semi-quantitative immunoassay method (Roche

Diagnostics, Australia) with a sensitivity and specificity of 80 and

88%, respectively.

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There are four colour blocks on the test strip

corresponding to negative (or 0), 20, 50 and 100 mg/l of albumin.

The test was done on two occasions; the first was random urine

samples (RUS) and the second was first morning void (FMV) urine

samples of the subjects.

Microalbuminuria was considered to be present when the two

urine samples produced a reaction colour corresponding to 20 mg/l

or more. The result from the FMV urine sample was recorded as

the MCA status of the subject. It has been suggested that MCA

detected in the FMV urine sample corresponds better with 24-hour

urinary albumin excretion (UAE) than microalbuminuria measured in

a RUS, because it is less influenced by physical exercise and diet.

12

Echocardiographic examination was performed with the patient

in the left lateral decubitus position using a Hewlett- Packard Sonos

4500 echocardiography machine with a 3.5-MHz transducer.

Measurements were taken under two-dimensional guided M-mode,

as recommended by the American Society of Echocardiography

(ASE).

13

Endocardialfractionalshortening(FS)wascalculatedautomatically

by the echocardiography machine using the formula:

14

FS = LVIDd – LVIDs

LVIDd

× 100

where LVIDd is left ventricular internal dimension in diastole and and

LVIDs is left ventricular internal dimension in systole Left ventricular

end-diastolic and end-systolic volumes (LVEDV and LVESV) were