Evaluation of QT dispersion at the time of diagnosis and at the end of follow-up in acromegaly patients

Husniye Baser; Nihal Akar Bayram; Burcak Polat; Berna Evrenos; Reyhan Ersoy; Engin Bozkurt; Bekir Cakir

doi:10.1530/endoabs.32.P918

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Endocrine Abstracts (2013) 32 P918 | DOI: 10.1530/endoabs.32.P918

ECE2013 Poster Presentations Pituitary – Clinical (<emphasis role="italic">Generously supported by IPSEN</emphasis>) (127 abstracts)

Evaluation of QT dispersion at the time of diagnosis and at the end of follow-up in acromegaly patients

Husniye Baser ¹ , Nihal Akar Bayram ² , Burcak Polat ¹ , Berna Evrenos ¹ , Reyhan Ersoy ¹ , Engin Bozkurt ² & Bekir Cakir ¹

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¹Department of Endocrinology and Metabolism, Ataturk Education and Research Hospital, Ankara, Turkey; ²Department of Cardiology, Ataturk Education and Research Hospital, Ankara, Turkey.

Background: In this study we have aimed to calculate the QT dispersion in acromegaly patients and reveal its correlation with GH and IGF1.

Materials and methods: Forty-one acromegaly patients were enrolled in the study. Another 41 patients with similar age, sex and comorbid disease distrubition have constituted the control group. We have evaluated the electrocardiograms (ECG) of the acromegaly patients at the time of diagnosis (baseline) and at the end of follow-up (post follow-up). Only one ECG was provided from each patient in the control group. The longest (QT max), the shortest QT (QT min), QT dispersion, corrected QT max (QTc max), QTc min and QTc dispersion were calculated.

Results: Baseline QT max, QT dispersion, QTc max and QTc dispersion intervals were significantly longer than the control group (respectively; P=0.016, P=0.001, P=0.001, P=0.002). QTc max and QTc dispersion intervals were significantly shorter at the end of the follow-up period compared to baseline, in acromegaly patients (respectively; P=0.005, P=0.024). Post follow-up QT intervals were not statistically different from the control group. Except the negative correlation between GH and QTc dispersion of acromegaly patients in post follow-up period, we could not detect any other correlation between QT intervals and GH or IGF1 levels. QTc dispersion was found to be related with disease duration in acromegaly group (r=0.440, P=0.009).

Conclusions: According to the findings of this study we can claim that QT intervals are beneficial in determining the arrhythmia risk in acromegaly patients and this risk can be reduced after treatment and hormonal control.