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Electrocardiographic changes in dermatomyositis and polymyositis

Overview of attention for article published in Advances in Rheumatology, November 2014
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Title
Electrocardiographic changes in dermatomyositis and polymyositis
Published in
Advances in Rheumatology, November 2014
DOI 10.1016/j.rbre.2014.08.012
Pubmed ID
Authors

Leticia Miranda Alle Deveza, Renata Miossi, Fernando Henrique Carlos de Souza, Andrea Yukie Shimabuco, Maria Helena Sampaio Favarato, José Grindler, Samuel Katsuyuki Shinjo

Abstract

Cardiac involvement is frequent in inflammatory myopathies. Electrocardiogram (ECG) may show evidence of this involvement and its changes should be well-known and described. Due to the lack of studies in the literature, we conducted an analysis of the ECG findings in patients with dermatomyositis (DM) and polymyositis (PM), comparing them with a control group. This cross-sectional study compared the ECG of 86 individuals with no rheumatic disorders (controls) with 112 patients (78 DM and 34 PM), during 2010-2013. The ECG findings between DM and PM were also compared. Demographic characteristics, comorbidities and ECG abnormalities were similar between controls and patients (p>0.05), except for a higher frequency of left ventricular hypertrophy (LVH) in patients (10.7% vs. 1.2%, p=0.008). Demographic characteristics, comorbidities, clinical and laboratory manifestations, were also similar between the groups PM and DM, except for the presence of cutaneous lesions only in DM. One-third of the patients had ECG abnormalities, which were more prevalent in PM than DM (50% vs. 24.4%, p=0.008). LVH, left atrial enlargement, rhythm and conduction abnormalities were more frequent in PM than DM (p<0.05 for all), especially the left anterior fascicular block. We showed distinct ECG changes between DM and PM and a higher frequency of LVH in patients compared to controls. Investigation of cardiac involvement should be considered even in asymptomatic patients, especially PM. Further studies are necessary in order to determine the correlation of ECG findings with other complementary tests, clinical manifestations, disease activity and progression to other cardiac diseases.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 5 21%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 10 42%
Nursing and Health Professions 2 8%
Immunology and Microbiology 1 4%
Agricultural and Biological Sciences 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 8 33%