Title |
Myocardial contractile patterns predict future cardiac events in sarcoidosis
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Published in |
The International Journal of Cardiovascular Imaging, September 2017
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DOI | 10.1007/s10554-017-1233-9 |
Pubmed ID | |
Authors |
Jian Chen, Juan Lei, Ernest Scalzetti, Mary McGrath, David Feiglin, Robert Voelker, Jingfeng Wang, Michael C. Iannuzzi, Kan Liu |
Abstract |
The poor prognosis of cardiac sarcoidosis (CS) underscores the need for risk stratification. We evaluated 84 consecutive sarcoidosis patients who were referred for echocardiographic studies for cardiac symptoms or abnormal electrocardiograms. In 54 patients without previous diagnosis of CS or other known structural heart disease, 13 reached endpoints during (median) 24 months follow up. Significantly impaired peak systolic longitudinal strain in their original echocardiograms were identified in 13 of 17 left ventricular segments, clustering in the free wall, interventricular septum and apex. The regional (including 13 clustered segments) peak systolic longitudinal strain (RPSLS) were significantly impaired in patients with endpoints, compared with those without [(-11.4 ± 4.45) vs. (-18.7 ± 3.76) %, P < 0.00001]. Cox multivariate regression analysis revealed that RPSLS was independently associated with endpoints (HR 1.24; 95% CI 1.08-1.42, P = 0.002). Receiver operating characteristic curve suggested a cut-off RPSLS value of -15.0% (84.6% sensitivity and 86.8% specificity) to predict the occurrence of endpoints. Impaired RPSLS correlates with risk of adverse cardiac events in patients with extra-cardiac sarcoidosis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 3 | 16% |
Student > Postgraduate | 2 | 11% |
Researcher | 2 | 11% |
Professor | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 47% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 42% |
Unknown | 11 | 58% |