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Home » Meeting Abstracts » Pediatric Rheumatology Symposium 2017

Abstract Number: 87

Assessment of Endothelial Dysfunction and Atherogenic Risk Factors in Children with Juvenile Dermatomyositis

Dawn Wahezi1, Emily Liebling2, Jillian Parekh2, Marija Dionizovik-Dimanovski1, Jaeun Choi3 and Qi Gao3, 1Pediatric Rheumatology, Children's Hospital at Montefiore, Bronx, NY, 2Pediatrics, Children's Hospital at Montefiore, Bronx, NY, 3Albert Einstein College of Medicine, Bronx, NY

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Meeting: Pediatric Rheumatology Symposium 2017

Keywords: Atherosclerosis, juvenile dermatomyositis and pediatric rheumatology

Session Information

Date: Thursday, May 18, 2017

Title: Clinical and Therapeutic Poster Session

Session Type: Abstract Submissions

Session Time: 5:30PM-7:00PM

Background/Purpose: Endothelial pulse amplitude testing (Endo-PAT) measures changes in vascular tone by post-occlusive hyperemic response. A reduced hyperemic response suggests endothelial dysfunction and serves as a surrogate marker for subclinical atherosclerosis. Children with juvenile dermatomyositis (JDM) may be at increased risk of premature atherosclerosis due to risk factors including dyslipidemia, insulin resistance, obesity, systemic inflammation, high corticosteroid burden, sedentary activity and underlying vasculopathy. The aim of this study was to determine the prevalence of endothelial dysfunction and atherogenic risk factors in JDM patients compared to healthy controls.

 

Methods: Twenty patients with JDM and 20 age-, gender-, race-, and BMI- matched healthy controls were recruited. Atherosclerotic risk factor assessments included anthropometrics, family history, smoking history, lipid panel, lipoprotein A, apolipoprotein A1 and B, homocysteine, hsCRP, HOMA-IR, and hemoglobin A1C. JDM assessments included muscle enzymes, vWF antigen, Childhood Myositis Assessment Scale (CMAS), Disease Activity Score (DAS) for JDM, and Myositis Damage Index (MDI). The Endo-PAT reactive hyperemia index (RHI) was calculated, dichotomized using the adult cutoff of <1.67 and log-transformed to meet statistical assumptions.

 

Results: A summary of clinical and laboratory data are shown in Table 1. JDM patients had a median disease duration of 44 months [IQR: 27,75] with minimal evidence of active disease and damage (median CMAS=52, range 47-52; median DAS=0, range 0-5; median MDI (extent) =0, range 0-3). Among the JDM patients, 7 were currently on prednisone (35%), 13 on hydroxychloroquine (65%), 15 on methotrexate (75%) and 9 on IVIG (45%).

 

Table 1: Clinical and laboratory data in JDM patients and healthy controls (n=40)a

 

 

Total

(n=40)

Healthy controls

(n=20)

JDM patients (n=20)

p-value

Age (years)

12.4 ± 4.1

12.7 ± 3.9

12.1 ± 4.4

0.651

Female gender

28 (70%)

14 (70%)

14 (70%)

>0.999

Race

   White, non-Hispanic

   African American, non-Hispanic

   Hispanic

14 (35%)

8 (20%)

18 (45%)

5 (25%)

4 (20%)

11 (55%)

9 (45%)

4 (20%)

7 (35%)

0.392

BMI

20.9  ± 5

20.9 ± 4.9

21 ± 5.1

0.950

BMI category

   Healthy

   Overweight/Obese

24 (60%)

16 (40%)

12 (60%)

8 (40%)

12 (60%)

8 (40%)

>0.999

Positive cardiac family history

23 (58%)

12 (60%)

11 (58%)

0.894

Systolic blood pressure (mmHg)

109.8  ± 10.8

106.9  ± 10.5

112.8  ± 10.5

0.081

Diastolic blood pressure (mmHg)

66  ± 7

63.7  ± 6.9

68.4  ± 6.6

0.035

Total cholesterol (mg/dL)

159.1  ± 32.9

163.1  ± 29.1

154.8  ± 36.7

0.441

LDL (mg/dL)

87.6  ± 25.5

92.8  ± 23.5

82.3  ± 27.0

0.203

HOMA-IRb

2.1 [1.4, 3.1]

2 [1.7, 2.8]

2.1[1.2, 3.3]

0.922

Hemoglobin A1c

5.5 ± 0.3

5.6 ± 0.3

5.4 ± 0.3

0.084

Lipoprotein A (nnmol/L)c

46 [14,87]

66 [24,91]

16.5 [10, 70]

0.055

Apolipoprotein B/A1 ratio

0.5 ± 0.1

0.53 ± 0.1

0.46 ± 0.1

0.082

hsCRP (mg/L)

0.2  [0.1, 0.7]

0.3 [0.2, 0.8]

0.2 [0.1, 0.4]

0.178

RHI

1.57 [1.2,1.9]

1.43 [1.2, 1.7]

1.72 [1.3, 2.4]

0.148

Abnormal RHI < 1.67

25 (63%)

15 (75%)

10 (50%)

0.103

Log RHI

0.45 ± 0.33

0.36 ± 0.24

0.54 ± 0.39

0.089

a Continuous variables expressed as mean ± standard deviation or median [IQR]. Categorical variables expressed as frequency (percentages).

b Homeostatic Model Assessment for Insulin Resistance (HOMA-IR): HOMA-IR = fasting insulin x fasting glucose / 22.5 (43).  

c Only evaluated in 31 participants (17 healthy controls and 14 JDM patients)

Although healthy controls show a higher proportion of endothelial dysfunction compared to JDM patients (75% versus 50%) and lower mean log RHI (0.36 ± 0.24 versus 0.54 ± 0.39 respectively), these results were not statistically significant. Healthy controls had relatively higher lipoprotein A levels (p=0.055). In a model adjusting for lipoprotein A, JDM status became a significant predictor for increased log RHI (p=0.006).

Conclusion: This is the first study to evaluate for the prevalence of premature atherosclerosis in a pediatric population with JDM. In this study, patients with JDM did not appear to be at higher risk for endothelial dysfunction compared to healthy controls. Lipoprotein A, a traditional atherogenic risk factor, may be an important confounder in these results.


Disclosure: D. Wahezi, None; E. Liebling, None; J. Parekh, None; M. Dionizovik-Dimanovski, None; J. Choi, None; Q. Gao, None.

To cite this abstract in AMA style:

Wahezi D, Liebling E, Parekh J, Dionizovik-Dimanovski M, Choi J, Gao Q. Assessment of Endothelial Dysfunction and Atherogenic Risk Factors in Children with Juvenile Dermatomyositis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 4). https://acrabstracts.org/abstract/assessment-of-endothelial-dysfunction-and-atherogenic-risk-factors-in-children-with-juvenile-dermatomyositis/. Accessed .

ACR Meeting Abstracts - https://acrabstracts.org/abstract/assessment-of-endothelial-dysfunction-and-atherogenic-risk-factors-in-children-with-juvenile-dermatomyositis/

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