Journal article
Myocardial contractile patterns predict future cardiac events in sarcoidosis
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Vol.34(2), pp.251-262
02/01/2018
DOI: 10.1007/s10554-017-1233-9
PMID: 28889326
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.
Details
- Title: Subtitle
- Myocardial contractile patterns predict future cardiac events in sarcoidosis
- Creators
- Jian Chen - Fifth Affiliated Hospital of Sun Yat-sen UniversityJuan Lei - Sun Yat-sen Memorial HospitalErnest Scalzetti - SUNY Upstate Medical UniversityMary McGrath - SUNY Upstate Medical UniversityDavid Feiglin - SUNY Upstate Medical UniversityRobert Voelker - SUNY Upstate Medical UniversityJingfeng Wang - Sun Yat-sen Memorial HospitalMichael C. Iannuzzi - SUNY Upstate Medical UniversityKan Liu - SUNY Upstate Medical University
- Resource Type
- Journal article
- Publication Details
- INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Vol.34(2), pp.251-262
- Publisher
- Springer Nature
- DOI
- 10.1007/s10554-017-1233-9
- PMID
- 28889326
- ISSN
- 1569-5794
- eISSN
- 1573-0743
- Number of pages
- 12
- Language
- English
- Date published
- 02/01/2018
- Academic Unit
- Radiology; Cardiovascular Medicine; Internal Medicine
- Record Identifier
- 9984318713402771
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