Left ventricular twist in hypertrophic cardiomyopathy: Predictor of nonsustained ventricular tachycardia

O. Candan, C. Gecmen, A. Kalaycı, E. Bayam, A. Guner, S. Gunduz, S. Cersit, M. Ozkan

Araştırma sonucu: Dergi katkısıMakalebilirkişi

8 Alıntılar (Scopus)

Özet

Background: We investigated the efficacy of clinical and classic echocardiographic parameters in predicting the occurrence of nonsustained ventricular tachycardia (NsVT) in patients with hypertrophic cardiomyopathy (HCM). Methods: The study comprised 59 patients with HCM (47 male, [80%]; mean age, 48.48 ± 14.16 years). Clinical, electrocardiographic, as well as classic two-dimensional and speckle-tracking echocardiography (STE) data were collected. All patients had Holter monitoring within 24–72 h of the echocardiographic examination. NsVT was defined as three or more consecutive premature wide QRS complexes with a heart rate of > 100 bpm. The patient population was categorized into groups based on the occurrence or absence of NsVT on the 24-h Holter recordings. Results: NsVT was observed in 17 patients (29%). In these patients, higher twist (14.4 ± 3.8 vs.18 ± 7.9; p = 0.02), higher apical rotation (8.7 ± 4.2 vs. 12.2 ± 7; p = 0.02), higher sudden cardiac death risk score (4.4 ± 2.2 vs. 7 ± 3.3; p = 0.007), and decreased global longitudinal peak strain (GLPS; −12.8 ± 3.1 vs. −10.6 ± 2.8; p = 0.014) were observed. In the multivariate logistic regression analysis, including GLPS and twist, GLPS (Odds Ratio [OR]: 1.406; 95% CI: 1.087–1.818; p = 0.009) and twist (OR: 1.236; 95% CI: 1.056–1.446; p = 0.008) were found to be independent predictors of NsVT. In the receiver operating characteristic curve analysis, GLPS < −11.9% predicted NsVT with 82% sensitivity and 60% specificity (area under the curve [AUC]: 0.70; p = 0.014) and twist > 15.2° predicted NsVT with 70% sensitivity and 58% specificity (AUC: 0.69; p = 0.027). Conclusion: Decreased GLPS and increased twist were predictive of NsVT in HCM patients. Parameters that can easily be measured with STE can help detect patients who may develop arrhythmia.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)238-246
Sayfa sayısı9
DergiHerz
Hacim44
Basın numarası3
DOI'lar
Yayın durumuYayınlanan - 1 May 2019
Harici olarak yayınlandıEvet

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