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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 31, No 5, September/October 2020

242

AFRICA

studies were performed in the left lateral decubitus position with

the conventional views (parasternal long- and short-axis, apical

four-chamber views). Right ventricular ejection fraction (RVEF)

from 2D methods was calculated as: (end-diastolic volume –

end-systolic volume)/end-diastolic volume.

Right ventricular M-mode, tissue Doppler records, isovolumic

acceleration (IVA) and myocardial performance index (MPI)

measurements were performed for right ventricular systolic and

diastolic function indicators. Peak myocardial speed during

isovolumic contraction was defined as isovolumetric contraction

velocity (IVV) (m/sec) and time elapsed to reach peak speed was

defined as acceleration time (AT). IVA was calculated with the

following formula: IVA = IVV/AT.

Right ventricular MPI was calculated as the ratio between the

sum of the isovolumic contraction time (ICT) and isovolumic

relaxation time (IRT) divided by the ejection time (ET): MPI

= (ICT + IRT)/ET. Right ventricular fractional area change

(RVFAC) was assessed in the four-chamber view and calculated

as: RVFAC = [RV end-diastolic area – RV end-systolic area]/RV

end-diastolic area × 100%. Pulsed tissue Doppler imaging (TDI)

was performed to measure systolic and diastolic myocardial

velocities at the basal level of the RV free wall. Peak myocardial

IVV, peak myocardial systolic velocity (Sm), peak early and

late diastolic velocities (Em and Am), ICT, IRT and ET were

measured.

We used M-mode scanning to measure tricuspid annular

plane systolic excursion (TAPSE) in the apical four-chamber

view with the cursor placed at the free wall side of the

tricuspid annulus to assess RV longitudinal function. TAPSE

was measured as the distance between the peak and trough of

the M-mode tracing curve, and at least three consecutive beats

were averaged. All Doppler measurements were performed at the

end of the expiration in order not to affect flow parameters with

respiration and to be more consistent.

Averages of measurements were used for comparison.

Measurements were generally consistent and this provided

more stable results. Inter-observer agreement was evaluated by

calculating the Pearson’s correlation coefficient (

r

= 0.93).

Statistical analysis

Statistical analysis was performed using the Statistical Package

for Social Sciences (SPSS) for Windows 20 (IBM SPSS

Inc, Chicago, IL) and Medcalc 11.4.2 (MedCalc Software,

Mariakerke, Belgium) programs. Compliance of the data to the

normal distribution was tested using the Kolmogorov–Smirnov

test. Normally distributed numeric variables are expressed

as mean

±

standard deviation and non-normally distributed

variables are expressed as medians. Categorical variables are

expressed as numbers and percentages.

For comparisons between the heroin and control groups, the

Student’s

t

-test was used for parametric variables and the Mann–

Whitney

U

-test for non-parametric variables. The chi-squared and

Fisher’s exact chi-squared tests were carried out for comparison

of categorical variables. Single-variate logistic regression analysis

was performed in order to determine the effects of potential

prognostic factors on right ventricular function. Significant risk

factors were included in the multivariate logistic regression and

independent predictors were determined. A

p

-value of < 0.05

was accepted as statistically significant.

Results

In the heroin group, the mean duration of heroin use was 4.6

years. The mean red cell distribution width (RDW) in the heroin

group was observed to be significantly higher compared to the

control group (15

±

1.6 vs 13.4

±

1.1%,

p

< 0.01). No significant

differences were found in other demographic and laboratory

characteristics between the groups (Table 1).

Comparison of the echocardiographic characteristics between

the groups revealed statistically larger right ventricular basal

(39.4

±

4.7 vs 35.6

±

4.3 mm,

p

< 0.01), mid (37.2

±

4.7 vs 31.8

±

3.6 mm,

p

< 0.01) and apicobasal (60.8

±

7.2 vs 53.6

±

11.1 mm,

p

= 0.01) diameters and pulmonary artery diameter (22.4

±

2.5

vs 20

±

2.5 mm,

p

< 0.01) in the heroin group compared to the

control group. Tricuspid pulsed wave E (PW E) (62.9

±

14.8 vs

52.6

±

12 cm/s,

p

= 0.01) and tissue Doppler e wave (17.2

±

4.5 vs

14.3

±

3 cm/s,

p

= 0.01) values in the heroin group were observed

to be statistically higher compared to the control group. The

MPI value was higher and abnormal in the heroin group (0.48

±

0.22 vs 0.39

±

0.11,

p

< 0.05), whereas the right IVA was observed

to be significantly reduced in the heroin group (2.92

±

0.69 vs 3.4

±

0.68 m/s

2

,

p

< 0.01). No significant differences were observed

between the groups with regard to RVEF (59.6

±

2.5 vs 60.6

±

2.3%,

p

= 0.08), TAPSE (24.1

±

4.2 vs 24.5

±

2.4 mm,

p

= 0.7),

TDI-S (13.7

±

2.1 vs 13.8

±

2.1 cm/s,

p

= 0.86) and RVFAC (42.7

±

8.3 vs 43.9

±

3.5%,

p

= 0.4) values (Table 2).

An independent correlation was observed between the RVIVA

and heroin use in univariate [0.36 (0.18–0.72),

p

< 0.01] and

multivariate [0.42 (0.19–0.88),

p

= 0.02] regression analyses.

Furthermore, an independent correlation was detected between

the pulmonary artery diameter and heroin use in univariate [1.49

(1.19–1.85),

p

< 0.01] and multivariate [1.43 (1.14–1.81),

p

< 0.05]

regression analyses (Table 3).

Discussion

Addiction to heroin-like drugs is currently an important health

problem however knowledge on the cardiac effects of heroin

addiction is limited. To our knowledge, the present study is the

first in the literature on the subject.

Table 1. Baseline characteristics and laboratory findings of the groups

Variables

Heroin (+)

(

n

= 45)

Heroin (–)

(n

= 40)

p-

value

Age (years), mean (SD)

29.6

±

9.6

30.1

±

8.1

0.81

Gender (female),

n

(%)

2 (4.4)

6 (15)

0.09

Diabetes mellitus,

n

(%)

0

0

Hypertension,

n

(%)

0

0

Coronary artery disease,

n

(%)

0

0

BMI, kg/m

2

26.5

±

2.7

27.5

±

2.7

0.11

WBC (× 10

3

cells/µl)

8.1

±

1.7

7.9

±

1.5

0.61

Haemoglobin (g/dl)

16.2

±

0.9

15.7

±

1

0.02

RDW (%)

15

±

1.6

13.4

±

1.1

< 0.01

Creatinine (mg/dl)

0.84

±

0.13

0.82

±

0.1

0.31

Platelet count (× 10³ cells/µl)

283.6

±

80.5

279.6

±

79.4

0.82

Sodium (mmol/dl; SD)

140.5

±

3.4

140.8

±

3.2

0.62

Potasium (mmol/dl; SD)

4.3

±

0.38

4.32

±

0.33

0.73

Calcium (mg/dl; SD)

9.2

±

0.5

9.3

±

0.4

0.84

p

< 0.05 is statistically significant. Continues variables are reported as mean

±

SD or median (IQR). Categorical variables are reported as

n

(%).

BMI: body mass ındex, WBC: white blood cells, RDW: red cell distribution

width.