Diagnostic Performance of a Novel Noninvasive Workup in the Setting of Dry Eye Disease

Joint Authors

Pellegrini, Marco
Giannaccare, Giuseppe
Bernabei, Federico
Scorcia, Vincenzo
Vigo, Luca
Carones, Francesco

Source

Journal of Ophthalmology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-11

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Medicine

Abstract EN

Purpose.

To evaluate the diagnostic performance of a novel noninvasive automated workup employed for the diagnosis of dry eye disease (DED).

Methods.

One hundred patients with mild to moderate DED and 100 matched control subjects were enrolled in this cross-sectional study.

Ocular surface examinations were carried out by means of IDRA Plus (SBM Sistemi, Turin, Italy), which allows the automated evaluation of noninvasive breakup time (NIBUT), lipid layer thickness (LLT), tear meniscus height (TMH), infrared meibography for the measurement of meibomian gland loss (MGL), and blinking analysis.

Continuous variables were compared between patients with DED and controls by using the Mann–Whitney U test.

The area under the curve (AUC) of receiver operating characteristic curves was calculated.

The correlations between ocular surface parameters were evaluated with Pearson correlation analysis.

Results.

Patients with DED showed significantly lower values of NIBUT, LLT, and TMH compared to controls (6.9 ± 2.5 vs 10.4 ± 2.4 s, P < 0.001; 64.6 ± 20.3 vs 73.4 ± 21.9 nm, P = 0.003; 0.231 ± 0.115 vs 0.289 ± 0.164, P = 0.012, respectively).

Conversely, no significant differences were observed for MGL and blinking analysis (both P > 0.05).

NIBUT had the highest diagnostic power (AUC = 0.841, sensitivity = 0.89, and specificity = 0.69), followed by LLT (AUC = 0.621, sensitivity = 0.89, and specificity = 0.55), TMH (AUC = 0.606, sensitivity = 0.57, and specificity = 0.63), blink analysis (AUC = 0.533, sensitivity = 0.48, and specificity = 0.59), and MGL (AUC = 0.531, sensitivity = 0.54, and specificity = 0.48).

In patients with DED, NIBUT showed a significant correlation with TMH (R = 0.347, P = 0.002) and blinking analysis (R = 0.356, P < 0.001), while blinking analysis was negatively correlated with MGL (R = −0.315, P = 0.008).

Conclusions.

The automated noninvasive workup validated in this study may be a useful tool for reaching a noninvasive diagnosis of DED with a good performance, especially for NIBUT.

American Psychological Association (APA)

Vigo, Luca& Pellegrini, Marco& Bernabei, Federico& Carones, Francesco& Scorcia, Vincenzo& Giannaccare, Giuseppe. 2020. Diagnostic Performance of a Novel Noninvasive Workup in the Setting of Dry Eye Disease. Journal of Ophthalmology،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1189498

Modern Language Association (MLA)

Vigo, Luca…[et al.]. Diagnostic Performance of a Novel Noninvasive Workup in the Setting of Dry Eye Disease. Journal of Ophthalmology No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1189498

American Medical Association (AMA)

Vigo, Luca& Pellegrini, Marco& Bernabei, Federico& Carones, Francesco& Scorcia, Vincenzo& Giannaccare, Giuseppe. Diagnostic Performance of a Novel Noninvasive Workup in the Setting of Dry Eye Disease. Journal of Ophthalmology. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1189498

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1189498