BACKGROUND: On the ECG, the PR interval measures the time taken by an electrical impulse generated in the sinoatrial node to propagate from atria to ventricles. From mouse to whale, the PR interval increases approximately 10(1), whereas body mass (BM) augments approximately 10(6). Scaling of many biological processes (eg, metabolic rate, life span, aortic diameter) is described by the allometric equation Y=Y(0) x BM(b), where Y is the biological process and b is the scaling exponent that is an integer multiple of 1/4. Hierarchical branching networks have been proposed to be the underlying mechanism for the 1/4 power allometric law. METHODS AND RESULTS: We first derived analytically the allometric equation for the PR interval. We assumed that the heart behaves as a set of "fractal-like" networks that tend to minimize propagation time across the conducting system while ensuring a hemodynamically optimal atrioventricular activation sequence. Our derivation yielded the relationship PR proportional, variant BM1/4. We subsequently obtained previously published values of PR interval, heart rate, and BM of 541 mammals representing 33 species. Double-logarithmic analysis demonstrates that PR interval increases as heart rate decreases, and both variables relate to BM following the 1/4 power law. Most important, the best fit for PR versus BM is described by the equation PR=53 x BM0.24. Hence, the empirically determined exponent (0.24) is close to 1/4, as predicted. CONCLUSIONS: We have demonstrated that the PR interval of mammals scales as the 1/4 power of the BM, following the universal law for allometric scaling to ensure an optimal atrioventricular activation sequence.
BACKGROUND: On the ECG, the PR interval measures the time taken by an electrical impulse generated in the sinoatrial node to propagate from atria to ventricles. From mouse to whale, the PR interval increases approximately 10(1), whereas body mass (BM) augments approximately 10(6). Scaling of many biological processes (eg, metabolic rate, life span, aortic diameter) is described by the allometric equation Y=Y(0) x BM(b), where Y is the biological process and b is the scaling exponent that is an integer multiple of 1/4. Hierarchical branching networks have been proposed to be the underlying mechanism for the 1/4 power allometric law. METHODS AND RESULTS: We first derived analytically the allometric equation for the PR interval. We assumed that the heart behaves as a set of "fractal-like" networks that tend to minimize propagation time across the conducting system while ensuring a hemodynamically optimal atrioventricular activation sequence. Our derivation yielded the relationship PR proportional, variant BM1/4. We subsequently obtained previously published values of PR interval, heart rate, and BM of 541 mammals representing 33 species. Double-logarithmic analysis demonstrates that PR interval increases as heart rate decreases, and both variables relate to BM following the 1/4 power law. Most important, the best fit for PR versus BM is described by the equation PR=53 x BM0.24. Hence, the empirically determined exponent (0.24) is close to 1/4, as predicted. CONCLUSIONS: We have demonstrated that the PR interval of mammals scales as the 1/4 power of the BM, following the universal law for allometric scaling to ensure an optimal atrioventricular activation sequence.
Authors: Zoran B Popović; Jing Ping Sun; Hirotsugu Yamada; Jeannie Drinko; Karin Mauer; Neil L Greenberg; Yuanna Cheng; Christine S Moravec; Marc S Penn; Todor N Mazgalev; James D Thomas Journal: J Physiol Date: 2005-07-07 Impact factor: 5.182
Authors: Emelia J Benjamin; Peng-Sheng Chen; Diane E Bild; Alice M Mascette; Christine M Albert; Alvaro Alonso; Hugh Calkins; Stuart J Connolly; Anne B Curtis; Dawood Darbar; Patrick T Ellinor; Alan S Go; Nora F Goldschlager; Susan R Heckbert; José Jalife; Charles R Kerr; Daniel Levy; Donald M Lloyd-Jones; Barry M Massie; Stanley Nattel; Jeffrey E Olgin; Douglas L Packer; Sunny S Po; Teresa S M Tsang; David R Van Wagoner; Albert L Waldo; D George Wyse Journal: Circulation Date: 2009-02-03 Impact factor: 29.690
Authors: Sami F Noujaim; Omer Berenfeld; Jérôme Kalifa; Marina Cerrone; Kumaraswamy Nanthakumar; Felipe Atienza; Javier Moreno; Sergey Mironov; José Jalife Journal: Proc Natl Acad Sci U S A Date: 2007-12-18 Impact factor: 11.205