An objective approach to dry eye disease severity

Academic Article

Abstract

  • PURPOSE. A prospective, multisite clinical study (10 sites in the European Union and the United States) evaluated the clinical utility of commonly used tests and tear osmolarity for assessing dry eye disease severity. METHODS. Three hundred fourteen consecutive subjects between the ages of 18 and 82 years were recruited from the general patient population, 299 of which qualified with complete datasets. Osmolarity testing, Schirmer test without anesthesia, tear film breakup time (TBUT), corneal staining, meibomian dysfunction assessment, and conjunctival staining were performed bilaterally. A symptom questionnaire, the Ocular Surface Disease Index (OSDI), was also administered to each patient. Distributions of clinical signs and symptoms against a continuous composite severity index were evaluated. RESULTS. Osmolarity was found to have the highest correlation coefficient to disease severity (r 2 = 0.55), followed by conjunctival staining (r 2 = 0.47), corneal staining (r 2 = 0.43), OSDI (r 2 = 0.41), meibomian score (r 2 = 0.37), TBUT (r 2 = 0.30), and Schirmer result (r 2 = 0.17). A comparison of standard threshold-based classification with the composite severity index revealed significant overlap between the disease severities of prospectively defined normal and dry eye groups. Fully 63% of the subjects were found to be poorly classified by combinations of clinical thresholds. CONCLUSIONS. Tear film osmolarity was found to be the single best marker of disease severity across normal, mild/moderate, and severe categories. Other tests were found to be informative in the more severe forms of disease; thus, clinical judgment remains an important element in the clinical assessment of dry eye severity. The results also indicate that the initiation and progression of dry eye is multifactorial and supports the rationale for redefining severity on the basis of a continuum of clinical signs. © Association for Research in Vision and Ophthalmology.
  • Authors

    Digital Object Identifier (doi)

    Author List

  • Sullivan BD; Whitmer D; Nichols KK; Tomlinson A; Foulks GN; Geerling G; Pepose JS; Kosheleff V; Porreco A; Lemp MA
  • Start Page

  • 6125
  • End Page

  • 6130
  • Volume

  • 51
  • Issue

  • 12