Literature DB >> 18704471

Relationship between airborne pollen count and treatment outcome in Japanese cedar pollinosis patients.

Kenji Takasaki1, Kaori Enatsu, Hidetaka Kumagami, Haruo Takahashi.   

Abstract

In Japan, information on daily Japanese cedar pollen counts is made public during pollen season. If symptom severity and treatment outcome are predictable according to these pollen counts, management of seasonal allergic rhinitis may become more precise. The aims of the study were to evaluate the relationship between airborne pollen counts, symptom severity and treatment outcome in Japanese cedar pollinosis patients. In the randomized study, patients with moderate to most severe Japanese pollinosis were treated with fexofenadine (60 mg BD) or fexofenadine and nasal corticosteroids for 2 weeks. During the same period daily airborne pollen counts were measured. A total of 105 adult patients were enrolled. No difference of treatment efficacy was seen among groups. Detailed results of efficacy and safety were previously described elsewhere. In univariate analysis, the mean cumulative amount of airborne pollen exposure for 4 days prior to the study tended to affect symptom severity (P = 0.053) and the mean cumulative amount of airborne pollen during the treatment period tended to show difference among five treatment outcome categories (P = 0.066). In multivariate analysis, the mean cumulative amount of airborne pollen exposure for 4 days prior to the study was identified as the only significant factor of symptom severity (P = 0.0327) and cumulative amount of airborne pollen during the treatment period (P = 0.027) and allergic history (P = 0.027) were significant factors of treatment outcomes. No serious adverse effect was reported during the study. The amount of airborne pollen may be predictive of both symptom severity and treatment outcome.

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Year:  2008        PMID: 18704471     DOI: 10.1007/s00405-008-0793-7

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


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