Item by item analysis strategy of the relationship between symptoms and signs in early dry eye

Gemma Julio, Sara Lluch, Gens Cardona, Albert Fornieles, Dolores Merindano

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13 Citations (Scopus)

Abstract

Purpose: The present study aimed at analyzing the relationship between several particular symptoms, risk factors or global questionnaire scores and some tear clinical signs in early dry eye patients. Material and methods: A total of 77 volunteers were enrolled in the study without any prior classification, although patients with severe dry eye were excluded. Two questionnaires were used to assess ocular symptoms and risk factors, and clinical tear signs were evaluated with four tests (osmolarity, ferning, break-up time and the phenol red thread test). Multiple linear regression analysis was performed to determine the relative predictive value of each particular ocular symptom and risk factor, for each clinical sign. This analysis was repeated using symptoms and risk factors global scores. Results: The symptom "eyes stuck shut in the morning" was the only predictor variable for the sign "ferning crystallization" (R=0.228, p < 0.05) and "dryness" for "break-up time" (R=0.315, p < 0.01). "Burning sensation" and "computer use for more than 3 h" were predictor variables for "tear osmolarity" (R=0.342, p < 0.01), while "itching" and "female gender" were found to predict the outcomes of the "phenol red thread test" (R=0.462, p < 0.05). Global questionnaire scores were not found to predict any tear clinical sign. Conclusions: The present findings support the informative value of exploring the associations between clinical signs, ocular symptoms and risk factors by following an item by item strategy rather than opting for global questionnaire scores. © 2012 Informa Healthcare USA, Inc.
Original languageEnglish
Pages (from-to)357-364
JournalCurrent Eye Research
Volume37
DOIs
Publication statusPublished - 1 May 2012

Keywords

  • Dry Eye
  • Dry Eye Symptoms
  • Ferning
  • Risk Factors
  • Tear Break-up Time
  • Tear Osmolarity

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