April 1, 2011Annals of Noninvasive ElectrocardiologyOpen Access

Slow QT Interval Adaptation to Heart Rate Changes in Normal Ambulatory Subjects

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Why the study?

Do linear models incorporating HR history improve the accuracy of QT correction compared to models using instantaneous HR in healthy volunteers?

Population

29 healthy volunteers across two independent populations.

Comparison

Linear models of QT interval dependence on a… vs Models based on the immediately preceding RR…

Design

Cohort

Authors

EREathar RazakFranciscan Health MBMarie BuncováInstitute of Clinical and Experimental Medicine VSVladimir ShustermanUniversity of Iowa

Discussion

Member takes

Implication

May support refined QT correction via HR memory; leaves open validation and outcome impact before clinical use.

Structured PICO

Do linear models incorporating HR history improve the accuracy of QT correction compared to models using instantaneous HR in healthy volunteers?

Population

29 healthy volunteers across two independent populations (Population A: n=14, 6 males, age 26.9 ± 12.3 yr; Population B: n=15, 9 males, age 52.9 ± 15.6 yr).

Intervention

Linear models of QT interval dependence on a weighted average of RR intervals in the preceding 3 minutes (including exponential decay of HR effect with 60 s time constant)

Comparator

Models based on the immediately preceding RR interval (instantaneous HR), including Bazett and Fridericia formulas

Outcome

Model fit for QT interval dependence on HRsurrogate

QT duration is affected by heart rate history dating back more than 60 seconds, and incorporating this memory effect improves QT correction accuracy compared to standard formulas.

Cite This Study

Razak et al. (2011) studied this question.

synapsesocial.com/papers/6a8a57442e8050e6742e5187 https://doi.org/10.1111/j.1542-474x.2011.00420.x

View Full Paper

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April 1, 2011Annals of Noninvasive ElectrocardiologyOpen Access

Slow QT Interval Adaptation to Heart Rate Changes in Normal Ambulatory Subjects

View Full Paper

Ask AI

Bookmark

Why the study?

Do linear models incorporating HR history improve the accuracy of QT correction compared to models using instantaneous HR in healthy volunteers?

Population

29 healthy volunteers across two independent populations.

Comparison

Linear models of QT interval dependence on a… vs Models based on the immediately preceding RR…

Design

Cohort

Authors

EREathar RazakFranciscan Health MBMarie BuncováInstitute of Clinical and Experimental Medicine VSVladimir ShustermanUniversity of Iowa

Discussion

Member takes

Implication

May support refined QT correction via HR memory; leaves open validation and outcome impact before clinical use.

Structured PICO

Do linear models incorporating HR history improve the accuracy of QT correction compared to models using instantaneous HR in healthy volunteers?

Population

29 healthy volunteers across two independent populations (Population A: n=14, 6 males, age 26.9 ± 12.3 yr; Population B: n=15, 9 males, age 52.9 ± 15.6 yr).

Intervention

Linear models of QT interval dependence on a weighted average of RR intervals in the preceding 3 minutes (including exponential decay of HR effect with 60 s time constant)

Comparator

Models based on the immediately preceding RR interval (instantaneous HR), including Bazett and Fridericia formulas

Outcome

Model fit for QT interval dependence on HRsurrogate

QT duration is affected by heart rate history dating back more than 60 seconds, and incorporating this memory effect improves QT correction accuracy compared to standard formulas.

Cite This Study

Razak et al. (2011) studied this question.

synapsesocial.com/papers/6a8a57442e8050e6742e5187 https://doi.org/10.1111/j.1542-474x.2011.00420.x

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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