Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2013
Symptom score for allergic rhinitis.
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Ologe Foluwasayo Emmanuel, Adebola Stephen Oluwatosin, Dunmade Adekunle David, Adeniji Kayode Adebamiji, Oyejola Benjamin Agboola
Аннотация
OBJECTIVES: To determine the prevalence of allergic rhinitis in our study population and the correlation between the Score for Allergic Rhinitis (SFAR) and nasal smear eosinophil count.
STUDY DESIGN: Cross-sectional study.
SETTING: Ear, nose, and throat clinic, University of Ilorin Teaching Hospital, Nigeria; a 450-bed tertiary health facility.
SUBJECTS: Two hundred seventy-five consecutive, consenting patients who presented with nasal symptoms.
METHODS: Information on the 8-parameter symptom score was collected using a semistructured questionnaire by interview. Nasal smear slides were air dried, fixed with 95% alcohol, stained using May-Grünwald-Giemsa stain, and examined under a light microscope.
RESULTS: Of the 275 participants seen during the 1-year study, 116 (42.2%) were males. The mean ± SD age was 38.5 ± 16.3 (range, 14-75) years. Eighty-one (29.5%) were diagnosed with allergic rhinitis using a nasal smear eosinophil count. The most common symptom was excessive sneezing, involving 93% of patients with allergic rhinitis (P < .001). The prevalence of allergic rhinitis using SFAR was 31.6%. The SFAR cutoff was set at >8 (P < .001). The sensitivity and specificity for SFAR were 94.8% (confidence interval [CI], 90.5%-97.4%) and 95.1% (CI, 87.2%-98.4%), respectively. A high Spearman's correlation (0.88) was obtained for SFAR when correlated with nasal smear eosinophil count.
CONCLUSION: The prevalence of allergic rhinitis using SFAR was 31.6%. The study shows that SFAR can be used as a simple, valid diagnostic tool in allergic rhinitis. This is important in rural settings where access to laboratory investigations might not be readily available.
STUDY DESIGN: Cross-sectional study.
SETTING: Ear, nose, and throat clinic, University of Ilorin Teaching Hospital, Nigeria; a 450-bed tertiary health facility.
SUBJECTS: Two hundred seventy-five consecutive, consenting patients who presented with nasal symptoms.
METHODS: Information on the 8-parameter symptom score was collected using a semistructured questionnaire by interview. Nasal smear slides were air dried, fixed with 95% alcohol, stained using May-Grünwald-Giemsa stain, and examined under a light microscope.
RESULTS: Of the 275 participants seen during the 1-year study, 116 (42.2%) were males. The mean ± SD age was 38.5 ± 16.3 (range, 14-75) years. Eighty-one (29.5%) were diagnosed with allergic rhinitis using a nasal smear eosinophil count. The most common symptom was excessive sneezing, involving 93% of patients with allergic rhinitis (P < .001). The prevalence of allergic rhinitis using SFAR was 31.6%. The SFAR cutoff was set at >8 (P < .001). The sensitivity and specificity for SFAR were 94.8% (confidence interval [CI], 90.5%-97.4%) and 95.1% (CI, 87.2%-98.4%), respectively. A high Spearman's correlation (0.88) was obtained for SFAR when correlated with nasal smear eosinophil count.
CONCLUSION: The prevalence of allergic rhinitis using SFAR was 31.6%. The study shows that SFAR can be used as a simple, valid diagnostic tool in allergic rhinitis. This is important in rural settings where access to laboratory investigations might not be readily available.