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Stroke. 2008;39:e145
Published online before print July 17, 2008, doi: 10.1161/STROKEAHA.108.527044
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(Stroke. 2008;39:e145.)
© 2008 American Heart Association, Inc.


Letters to the Editor

Ordinal Reanalysis of the SHEP Trial

Philip M.W. Bath, FRCP, MD; Chamila M. Geeganage, MSc Laura J. Gray, MSc

Stroke Trials Unit, University of Nottingham, Division of Stroke Medicine, Nottingham, UK


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

To the Editor:

The article by Patel and colleagues relating to long-term follow-up of patients in the SHEP study1 highlights a common problem in vascular prevention trials, namely that the sample size needed to detect an effect on ‘all’ stroke (or the composite of stroke, myocardial infarction, and vascular death) is insufficient to assess effects on fatal events alone. In the case of SHEP, chlorthalidone-based antihypertensive therapy significantly reduced all stroke (269 events) but not fatal stroke (only 24 events, relative risk=0.91, P=0.51).2 Conventional solutions to this problem of low statistical power include extending follow-up (as Patel and colleagues do1) or looking for effects on fatal events across related trials, eg, using meta-analysis as done with aspirin.3 Demonstrating reductions in both stroke and fatal stroke supports the claim that the intervention reduces both stroke and its severity. We have proposed an alternative solution which achieves this aim in one analysis, namely that binary vascular outcomes such as stroke/no stroke can be converted into a 3-level ordered categorical outcome, eg, fatal stroke/nonfatal stroke/no stroke.4 Adding transient ischemic attack (TIA) generates a 4-level outcome: fatal stroke/nonfatal stroke/transient ischemic attack/no stroke. These data may be analyzed using nonparametric approaches including Mann-Whitney U test and ordinal logistic regression.5

The following analyses may be performed using data from Table 1 of Patel’s article (outcome for active then control patients with analysis using ordinal logistic regression):

Stroke (2-level/binary)–106 (stroke)/2259 (no event) versus 163/2208, odds ratio 0.64 (95% CI 0.49 to 0.82), z=–3.53.

Stroke (3-level)–10 . . . [Full Text of this Article]