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

232

AFRICA

No significant correlations were observed between eosinophil

count and any Markis classification (

p

=

0.314,

r

=

–0.066) or

between eosinophil count and diffuse ectasia (

p

=

0.544,

r

=

0.040) (Table 5). Likewise, there was no correlation between

eosinophil count and vessel count (

p

=

0.103,

r

=

0.107) (Table

5). However, the ELR significantly correlated with the Markis

classification and diffuse ectasia and vessel count (

p

=

0.005,

r

=

–0.182;

p

=

0.027,

r

=

0.145;

p

=

0.005,

r

=

0.185, respectively), and

the lymphocyte count significantly correlated with the Markis

classification and diffuse ectasia (

p

=

0.001,

r

=

0.211;

p

=

0.001,

r

=

–0.211, respectively) (Table 5).

ROC curve analysis revealed that the specificity of an ELR  >

0.099 (measured before coronary angiography) in predicting

isolated CAE was 60.3%, and the sensitivity was 56.5% [area

under the curve (AUC): 0.604, 95% CI: 0.553, 0.655;

p

<

0.0001)

(Fig. 8). No differences were observed between the two groups

with regard to other analysed laboratory data (Table 1).

Discussion

The analysis revealed that ELR, and eosinophil and WBC

counts were significantly higher in the isolated CAE group

compared to the NCA group. However, HDL-C levels and

lymphocyte counts were significantly lower for the isolated CAE

group than for the NCA group (Table 1). In addition, the study

revealed no relationship between eosinophil count and number

of ectatic vessels, the diffuseness of the ectatic segment and

Markis classification. However, it was found that ELR values

were significantly related to the stated classifications.

Coronary artery ectasia may be acquired or congenital.

24-28

The associated diseases reported in its aetiology are 50%

atherosclerosis, 20–30% congenital diseases and 10–20%

inflammatory or connective tissue diseases.

6

The association

between inflammation and CAE has been revealed using well-

recognised inflammatory markers such as WBC, neutrophil and

monocyte counts, and interleukin-6, matrix metalloproteinase,

tumour necrosis factor-

α

and C-reactive protein (CRP) levels.

29,30

The ischaemic mechanism in patients with CAE has not been

fully understood. However, it is accepted that the leading cause

of ischaemia and angina is impaired microvascular perfusion.

Slow or turbulent flow in dilated vessels has been reported to

cause ischaemia by causing thrombosis in the ectatic segment

and embolism in the distal coronary artery.

3

Eosinophils are

loaded with many granule-associated molecules that cause

vascular thrombosis and endothelial damage. Major basic

protein and eosinophil peroxidase, as the most well-known of

these granules, are also platelet agonists and play an important

role in thrombus formation.

20

Eosinophils may additionally cause

thrombosis by secreting tissue factor and stimulating platelets

and leukocytes, in addition to secreting major basic protein and

eosinophil peroxidase.

20,31

These three proteins (tissue factor, basic protein and eosinophil

peroxidase) contribute considerably to thrombus formation

by stimulating thrombocytes and inhibiting thrombomodulin.

Table 4. Comparison of ELR values, and eosinophil and

lymphocyte counts between focal (Markis type IV)

and diffuse ectasia (Markis type I, II, III)

Counts

Focal ectasia

(

n

=

102)

Diffuse ectasia

(

n

=

130)

p-

value

Eosinophil count

(

×

10

9

cells/l)

0.20 (0.12–0.32)

0.22 (0.14–0.33)

0.54

Lymphocyte count

(

×

10

9

cells/l)

2.21 (1.81–2.67)

1.93 (1.55–2.36)

0.001

ELR

0.10 (0.05–0.15)

0.12 (0.06–0.18)

0.02

Table 5. Spearman’s correlation analysis between vessel count,

extension of isolated CAE and Markis classification,

and eosinophil and lymphocyte counts and ELR value.

Eosinophil

count

Lymphocyte

count

ELR

value

r

p

r

p

r

p

Vessel count

0.107 0.103 –0.127 0.052 0.185 0.005

Extension of isolated CAE

(as diffuse)

0.040 0.544 –0.211 0.001 0.145 0.027

Markis classification

–0.066 0.314 0.211 0.001 –0.182 0.005

Markis

Type I:

0.15

±

0.10

Type II:

0.14

±

0.09

Type III:

0.11

±

0.07

Type IV:

0.11

±

0.08

ELR

0.40

0.35

0.30

0.25

0.20

0.15

0.10

0.05

0.00

p

(Between type I and type IV): 0.04

All other

p

-values > 0.5

Fig. 7.

Comparison of ELR among Markis type I, II, III and IV.

1 – Specificity

0.0

0.2

0.4

0.6

0.8

1.0

Sensitivity

1.0

0.8

0.6

0.4

0.2

0.0

AUC: 0.604, 95% CI 0.553, 0.655;

p

< 0.0001;

specifity: 60.3; sensitivity: 56.5; cut off > 0.099

Fig. 8.

ELR ROC analysis between isolated CAE and NCA.

AUC: area under the curve; CI: confidence interval;

ELR: eosinophil-to-lymphocyte ratio; ROC: receiver

operating characteristics.