Evaluation of the Ocular Surface Disease Index Questionnaire as a Discriminative Test for Clinical Findings in Dry Eye Disease Patients

Curr Eye Res. 2019 Sep;44(9):941-947. doi: 10.1080/02713683.2019.1604972. Epub 2019 Apr 29.

Abstract

Purpose: To investigate to what extent the OSDI can be utilized as a discriminative test for clinical findings. Methods: One thousand and ninety patients with dry eye disease (DED) were consecutively included and examined for osmolarity, tear film break-up time (TFBUT), ocular protection index (OPI), ocular surface staining (OSS), Schirmer I test (ST), meibum expressibility (ME), meibum quality (MQ), and diagnosis of meibomian gland dysfunction (MGD). Receiver-operating characteristic curve (ROC) analysis considering optimum balanced sensitivity and specificity (close to 50%) was used for assessment. Results: The present study on more than 1,000 patients indicates that the OSDI in the ROC curve analysis is a poor discriminator of pathological scores for TFBUT ≤ 5 (AUC = 0.553; p = .012) and ≤10 s (AUC = 0.608; p = .002), OSS ≥ 3 (AUC = 0.54; p = .043), ST ≤ 5 (AUC = 0.550; p = .032) and ≤10 mm/5 min (AUC = 0.544; p = .016), and ME ≥ 1 (AUC = 0.594; p = <0.001). Pathological scores for osmolarity >308 and >316 mOsm/L, OPI, OSS > 1, MQ, and MGD could not be discriminated by OSDI (p > .05). Conclusion: Cut-off values for the OSDI can be defined to discriminate pathological TFBUT (≤5 and ≤10), OSS (≥3), ST (≤5 and ≤10) and ME, however, the discriminability was low. Our comprehensive study emphasises the importance of taking both symptoms and signs into account in DED management.

Keywords: Dry eye disease; clinical tests; ocular surface disease index (OSDI); receiver-operating characteristic (ROC) curve analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Dry Eye Syndromes / diagnosis*
  • Female
  • Humans
  • Male
  • Meibomian Gland Dysfunction / diagnosis*
  • Middle Aged
  • Osmolar Concentration
  • ROC Curve
  • Sensitivity and Specificity
  • Surveys and Questionnaires*
  • Tears / chemistry*