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Would corrected QT dispersion predict left ventricular hypertrophy in hypertensive patients?
MedLine Citation:
PMID:  22428608     Owner:  NLM     Status:  Publisher    
Aims: We explored whether QT corrected dispersion (QTcD) can identify left ventricular hypertrophy (LVH) in hypertensives. Methods. We enrolled 100 hypertensive patients (study group) and 30 normotensive subjects (control group). Echocardiography was performed to measure left ventricular mass and left ventricular mass index. Electrocardiogram was performed to measure QTcD. Results. LVH was present in 42 patients (42%) of the study group, none among controls. Hypertensive patients had significantly greater indices of LVH and QTcD compared with controls (p < 0.001 for all). Similarly, among hypertensive patients, those with LVH had a significantly greater QTcD compared with those without (p < 0.001). Pearson's correlation coefficient test demonstrated strongly positive correlations between QTcD and the indices of LVH (p < 0.001 for all). Analysis of the receiver operating characteristic curves identified 60 ms as the optimal cut-off value of QTcD that best predicts LVH in hypertensives. Using this value, QTcD was able to predict LVH with a sensitivity of 92.9% and specificity 98.2%. Conclusions. QTcD is significantly increased in hypertensive patients with LVH compared with those without, being strongly correlated with the indices of LVH. A QTcD cut-off value of 60 ms predicted LVH in hypertensive patients with a high sensitivity and specificity.
Mohamed G Abdal-Barr; Mina Safwat; Wail Nammas
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-3-20
Journal Detail:
Title:  Blood pressure     Volume:  -     ISSN:  1651-1999     ISO Abbreviation:  -     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-3-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9301454     Medline TA:  Blood Press     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Cardiology Department, Faculty of Medicine, Ain Shams University , Cairo , Egypt.
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