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The reduction of rhinitis symptoms by nasal filters during natural exposure to ragweed and grass pollen.

AbstractBACKGROUND:
Prototype nasal filters were developed to collect inhaled pollen. This study evaluated the efficacy of the filters for prevention of rhinitis symptoms during acute outdoor pollen exposure.
METHODS:
A randomized double-blind design was used. Subjects (n=46) with a history of autumn exacerbation of rhinitis and positive skin test to ragweed, Bermuda and/or Bahia grass wore either active or placebo nasal filters for 2 h in autumn in a park containing these species. Major and Total Symptoms scores were recorded at 0, 30, 60, 90 and 120 min.
RESULTS:
Subjects wearing active nasal filters had significantly reduced scores, at all time-points compared with placebo group (all P <0.05). Of 14 individual symptoms measured, seven were significantly reduced (number of sneezes, runny nose, itchy nose, sniffles, itchy throat; itchy eyes and watery eyes) and another three showed a trend towards lower severity. The nasal filters also enabled the resolution of existing symptoms. Maximal difference in symptoms was seen immediately after subjects had spent 20 min sitting beside a large patch of ragweed.
CONCLUSION:
This is the first clinical trial of a nasal filter. The results suggest it has potential for enhancing rhinitis management during acute allergen exposure.
AuthorsT J O'Meara, J K Sercombe, G Morgan, H K Reddel, W Xuan, E R Tovey
JournalAllergy (Allergy) Vol. 60 Issue 4 Pg. 529-32 (Apr 2005) ISSN: 0105-4538 [Print] Denmark
PMID15727589 (Publication Type: Clinical Trial, Journal Article, Randomized Controlled Trial, Research Support, Non-U.S. Gov't)
Topics
  • Adolescent
  • Adult
  • Aged
  • Ambrosia
  • Double-Blind Method
  • Environmental Exposure
  • Equipment Design
  • Female
  • Filtration (instrumentation)
  • Humans
  • Male
  • Middle Aged
  • Nasal Cavity
  • Patient Acceptance of Health Care
  • Poaceae
  • Pollen
  • Rhinitis, Allergic, Seasonal (physiopathology, prevention & control)
  • Severity of Illness Index

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