QT correction formulas and laboratory analysis on patients with metabolic syndrome and diabetes

Sara Wong; Pedro Rivera; María G. Rodríguez; Érika Severeyn; Miguel Altuve

doi:10.1117/12.2036383

19 November 2013 QT correction formulas and laboratory analysis on patients with metabolic syndrome and diabetes

Sara Wong, Pedro Rivera, María G. Rodríguez, Érika Severeyn, Miguel Altuve

Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220V (2013) https://doi.org/10.1117/12.2036383
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico

Abstract

This article presents a study of ventricular repolarization in diabetic and metabolic syndrome subjects. The corrected QT interval (QTc) was estimated using four correction formulas commonly employed in the literature: Bazett, Fridericia, Framingham and Hodges. After extracting the Q, R and T waves from the electrocardiogram of 52 subjects (19 diabetic, 15 with metabolic syndrome and 18 control), using a wavelet-based approach, the RR interval and QT interval were determined. Then, QTc interval was computed using the formulas previously mentioned. Additionally, laboratory test (fasting glucose, cholesterol, triglycerides) were also evaluated. Results show that metabolic syndrome subjects have normal QTc. However, a longer QTc in this population may be a sign of future complication. The corrected QT interval by Fridericia's formula seems to be the most appropriated for metabolic syndrome subjects (low correlation coefficient between RR and QTc). Significant differences were obtained in the blood glucose and triglyceride levels, principally due to the abnormal sugar metabolization of metabolic syndrome and diabetic subjects. Further studies are focused on the acquisition of a larger database of metabolic syndrome and diabetics subjects and the repetition of this study using other populations, like high performance athletes.

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Sara Wong, Pedro Rivera, María G. Rodríguez, Érika Severeyn, and Miguel Altuve "QT correction formulas and laboratory analysis on patients with metabolic syndrome and diabetes", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220V (19 November 2013); https://doi.org/10.1117/12.2036383

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KEYWORDS

Glucose

Electrocardiography

Blood

Databases

Feature extraction

Heart

Statistical analysis

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