What is RR in QTc?
RR represents the time interval between two successive ventricular depolarizations (R waves on ECG), measured in seconds or milliseconds, and is used as the heart rate variable in formulas that correct the QT interval for heart rate. 1
Understanding the RR-QT Relationship
The RR interval is mathematically equivalent to 60/heart rate (in beats per minute). When you measure the QT interval on an ECG, it naturally varies with heart rate—faster heart rates produce shorter QT intervals and slower heart rates produce longer QT intervals. To compare QT values across different heart rates or between patients, we must "correct" the QT interval using the RR interval, yielding the QTc (corrected QT).
How RR is Used in QTc Calculations
The most commonly used correction formulas incorporate RR as follows:
However, these traditional formulas have significant limitations. Bazett's formula overcorrects at high heart rates (leaving a positive residual correlation of r=0.32 with heart rate), while Fridericia's formula undercorrects (leaving a negative correlation of r=-0.26 to -0.32). 1
Current Best Practice Recommendation
Linear regression functions rather than Bazett's formula should be used for QT-rate correction, and the method used must be identified in ECG reports. 1 More recent approaches using linear or power functions of RR effectively remove rate dependence and are clearly preferable. 1, 2
Important Caveats:
- Do not attempt rate correction when RR interval variability is large (as occurs with atrial fibrillation) 1
- Individual QT/RR relationships vary significantly between subjects, making subject-specific correction methods more accurate than generic formulas 3, 4
- At least 200 consecutive complexes should be averaged for accurate QT measurement when significant RR variability exists 5
Clinical Context
The RR interval reflects the instantaneous heart rate at the time of QT measurement. Recent evidence shows that past RR intervals exert stronger influence on current QT intervals than future ones, with the highest cross-correlations occurring when intervals overlap most 6. This "memory effect" or hysteresis means the QT interval doesn't instantly adjust to heart rate changes, which is why subject-specific transfer function models that account for preceding RR intervals provide superior correction. 4