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Hypertension. 2005;45:e13
Published online before print April 18, 2005, doi: 10.1161/01.HYP.0000161989.27467.db
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(Hypertension. 2005;45:e13.)
© 2005 American Heart Association, Inc.


Hypertension Electronic Pages

Letters to the Editor

Calculation of Reflection Wave Transit Time and Paired Data Analysis

Wonsik Ahn; Jae Hyon Bahk

Department of Anesthesiology, Seoul National University Hospital, Seoul, South Korea


An extract of the first 250 words of the full text is provided, because this article has no abstract.
 

To the Editor:

There are countless ongoing debates and discrepancies in the medical field. Some of the causal issues at the heart of these debates include detection errors, individual variations of recruited subjects, and, simply, our shortage of knowledge about human beings. There is another commonly noted source of discrepancy, statistical error. One frequently occurring misconception involves paired data analysis. Health scientists use several examples of paired data, for instance, right–left differences, arm–leg pressure differences, and variations in arterial pressure waveforms. I have observed one discrepancy of reflection wave transit time (RWTT) during arterial pressure wave form analysis.1–3 One report stated a mean of RWTT is 102 to 116 ms.1 The other stated the mean of RWTT is 129 ms.2 As to the cause of this variation, Mitchell et al "suspected" in his reply:

"We suspect .... Rather than analyze individual high-fidelity waveforms, they ensemble-averaged waveforms from decade groups of participants into a single ‘age-decade wave,’ which was analyzed to obtain ‘mean’ waveform characteristics. This averaging process may have obscured waveform landmarks."

After reading this paragraph, some readers might think that both methods are adequate to obtain the RWTT and we could, in fact, take either result of RWTTs. However, from a statistical point of view, RWTT should be calculated from an individual waveform and then be averaged, because both foot and shoulder points are obtained from each volunteer, so they are matched.

Paired data misanalysis is one of the most common errors in medical data analysis. If we use . . . [Full Text of this Article]