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Relationship between the partial blink rate and ocular surface parameters.

Young Joon Jeon1, Mi Yeon Song1, Kook Young Kim1

  • 1Department of Ophthalmology, Kim's Eye Hospital, Konyang University College of Medicine, 136 Youngshinro, Youngdeungpo-gu, Seoul, 07301, Republic of Korea.

International Ophthalmology
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

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Partial blink rate (PBR) and meibomian gland (MG) dropout rates are strongly linked to dry eye symptoms. This study highlights PBR as a key indicator for assessing ocular surface health and patient-reported dry eye severity.

Area of Science:

  • Ophthalmology
  • Ocular Surface Disease
  • Biometry

Background:

  • Dry eye disease (DED) is a prevalent condition affecting millions globally.
  • Assessing ocular surface parameters is crucial for diagnosing and managing DED.
  • Partial blink rate (PBR) is an emerging indicator of ocular surface health.

Purpose of the Study:

  • To investigate the correlation between partial blink rate (PBR) and various ocular surface parameters.
  • To determine the relationship between PBR and dry eye symptoms quantified by the SPEED questionnaire.
  • To evaluate the utility of the IDRA® Ocular Surface Analyzer in assessing these parameters.

Main Methods:

  • A retrospective cross-sectional study was conducted involving 47 non-Sjögren dry eye patients.
Keywords:
BlinkIDRA®InterferometryLipid layerMeibomian gland dysfunction

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  • Ocular surface parameters including PBR, lipid layer thickness (LLT), non-invasive tear film break-up time (NITBUT), tear meniscus height (TMH), and meibomian gland (MG) dropout rate were measured using the IDRA® Ocular Surface Analyzer.
  • Dry eye symptoms were assessed using the Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire.

    • Main Results:

    • Partial blink rate (PBR) showed a strong positive correlation with meibomian gland (MG) dropout rate (r=0.811, p<0.01).
    • PBR also demonstrated a moderate correlation with dry eye symptom severity scores (SPEED) (r=0.596, p<0.01).
    • MG dropout rate and age were moderately correlated with SPEED scores, while LLT showed no significant correlation with other variables.

    Conclusions:

    • Partial blink rate (PBR) and meibomian gland (MG) dropout rates are significantly correlated with dry eye symptoms.
    • The IDRA® Ocular Surface Analyzer is a valuable tool for quantifying these parameters and assessing dry eye.
    • PBR emerges as a potentially important clinical indicator for evaluating the severity of dry eye disease.