Phase specific analysis of herpes zoster associated pain data: a new statistical approach

Citation
Rb. Arani et al., Phase specific analysis of herpes zoster associated pain data: a new statistical approach, STAT MED, 20(16), 2001, pp. 2429-2439
Citations number
32
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research General Topics
Journal title
STATISTICS IN MEDICINE
ISSN journal
02776715 → ACNP
Volume
20
Issue
16
Year of publication
2001
Pages
2429 - 2439
Database
ISI
SICI code
0277-6715(20010830)20:16<2429:PSAOHZ>2.0.ZU;2-8
Abstract
Herpes zoster or shingles is a frequent occurrence in both elderly individu als and immunocompromised hosts. The pain associated with herpes zoster is the most debilitating complication of the disease. It can be described as a cute pain and post-herpetic neuralgia or zoster associated pain (ZAP). The latter definition encompasses pain from the onset of disease through its re solution and provides a convenient analytic toot for evaluation of antivira l therapy. A heuristic examination of ZAP historical data suggests the exis tence of three phases of pain resolution: the acute, subacute and chronic p hases. The subacute and chronic phases comprise the post-herpetic neuralgia (PHN) stage. Common analytic methods, such as a Kaplan-Meier survival func tion or a Cox's model, have been used to assess the pain. However, such app roaches do not adequately allow for phase comparison. Notably, in the clini cal trial setting the comparison of specific treatment effects on the latte r stages of pain are of the greatest medical relevance since this is the mo st debilitating phase of the illness. In order to incorporate the phase-spe cific information in the modelling of time to cessation of ZAP, we assumed the hazard function was a stepwise constant. Utilizing the full likelihood function, we obtained the maximum likelihood estimate for the transition ti mes (that is, change-points), and other parameters of medical importance. T he standard error of the change-point estimates were obtained through a boo tstrapping method. The asymptotic properties of the parameter estimates are also discussed. Hence, the rates of pain resolution across all phases can be examined in order to precisely define the existence of multiple phases. In addition, the covariates effect can be examined across phases and popula tions, thereby allowing us to translate potential efficacy of a standard th erapy to different populations. These results can be utilized in the design of clinical trials or in targeting the outcome for a specific phase while controlling for the effect of other variables. Copyright (C) 2001 John Wile y & Sons, Ltd.