Elsevier

The Ocular Surface

Volume 19, January 2021, Pages 74-82
The Ocular Surface

Normalized ocular surface temperature models for tear film characteristics and dry eye disease evaluation

https://doi.org/10.1016/j.jtos.2020.04.002Get rights and content

Abstract

Purpose

To construct normalized ocular surface temperature (NOST) models for different tear film characteristics and evaluate its potential in dry-eyes screening.

Methods

We included 227 right eyes of 227 patients. Tear film characteristics were categorized into 4 types according to fluorescein tear film breakup time (FTBUT) and Schirmer test results, namely type 1: FTBUT >5 s and Schirmer >5 mm; type 2: FTBUT ≤5 s and Schirmer >5 mm; type 3: FTBUT ≤5 s and Schirmer ≤5 mm; and type4: FTBUT >5 s and Schirmer ≤5 mm. Ocular surface temperature was measured by a video-thermographer. Mean temperatures of the central cornea were calculated from the videos of each frame during the 4-s blink interval. We first constructed individual NOST model for every tear characteristic. Participants were included for further analysis when their OSDI was ≥23, FTBUT ≤5 s, and Schirmer >5 mm. They were subdivided into short-BUT and short BUT with SPK subgroups according to the absence or presence of corneal fluorescein-stain. The NOST models of the normal, short-BUT and short BUT with SPK groups were separately constructed and the potential of screening analyzed via ROC curves.

Results

Each tear film type had a different NOST model. At 3 s after blinking, the order of NOST was type 4 >type 1 >type 3 >type 2. In dry-eye screening, the NOST was normal > short-BUT > short BUT with SPK. The NOST displayed a sensitivity 0.87, specificity 0.80, and AUC 0.88 for diagnosing short BUT with SPK.

Conclusion

NOST models are useful in differentiating tear film characteristics and screening dry-eyes. It alleviates the discomfort and inconvenience encountered during conventional dry-eye diagnosis.

Introduction

Dry eye disease (DED) is a chronic progressive condition associated with increased instability of the tear film, causing ocular surface damage that subsequently affects life and visual quality [[1], [2], [3], [4]]. The consensus on dry eye management is still under development because of the apparent lack of correlation between traditionally used clinical tests and patient-reported symptoms [5,6].Non-contact methods to diminish dry eye assessment variability are thus preferred [5].

The Asia Dry Eye Society (ADES) defines dry eye emphasizing on subjective symptoms and tear film instability [6]. One of the most commonly used dry eye questionnaires is the ocular surface disease index (OSDI) proposed by International Dry Eye Workshop report [5]. Because an unstable tear film is pivotal, the measurement of fluorescent tear film breakup time (FTBUT) is mandatory. The presence of superficial punctate keratopathy (SPK) is objective in the evaluation of ocular damage; and can be assessed by fluorescein [7]. However, traditional Schirmer test and/or ocular surface staining for dry eye diagnosis could induce reflex tearing, which reduces the reliability of test results. Therefore, new emerging dry eye diagnostic technologies focus mainly on non-contact measurement [5].

The anterior segment optical coherence tomography (AS-OCT) measures tear meniscus height (TMH) [8,9] and is considered a quantitative measurement of tear volume [10]. It could thus screen aqueous deficient dry eyes rapidly and noninvasively.

Tear evaporation is related to the tear film components and structure [11,12]. The higher tear production rate results in a higher evaporation rate [9,13], while a stable tear film is less likely to evaporate [[14], [15], [16]]. Cooling caused by tear film evaporation alters the ocular surface temperature [17] and an unstable tear film produces a relatively low-temperature area on the ocular surface [18]. Lower temperature area corresponding to the fluorescent tear film breakup area using a thermal graphic camera suggests that the breakup of the tear film increased the cooling rate due to tear evaporation [9,19,20]. Therefore, thermography could potentially evaluate tear film quality noninvasively [21,22].

Tear film characteristics can be divided into 4 types according to traditional FTBUT and Schirmer test value and correspond to the clinically defined dry eyes [[23], [24], [25]]. The thermographic difference of the 4 types of tears has not been studied. Moreover, the relation between ocular surface temperature and patient-reported symptoms has not been assessed. The aims of the current study were to (1) observe the changes in ocular surface temperature in different tear film characteristics and (2) determine whether ocular surface temperature can be used to evaluate short-BUT and short BUT dry eye with SPK.

Section snippets

Methods

The research protocol was approved by the institutional review board of Far Eastern Memorial Hospital and the work adhered to the tenets of the Declaration of Helsinki. Informed consent was obtained from each participant.

Participant demographics and pattern distribution of tear characteristics

Participants with type 1 and 4 tears were younger (Table 1). TMH was significantly lower in type 3 than that in the other 3 types (p < 0.001 for all), and there was a significant difference between type 2 and 4 (p = 0.04). TMH exhibited a significant positive correlation with the results of FTBUT (r = 0.35, p < 0.001) and Schirmer test values (r = 0.23, p = 0.002). NOST at 3 s correlated significantly with SPK grade (r = −0.219, p = 0.001).

Fig. 2A shows the pattern distribution of FTBUT and

Discussion

We constructed non-contact thermography derived NOST models to differentiate 4 types of tear film characteristics. We confirmed that the tear film stability (FTBUT) and tear secretion rate (Schirmer) could both affect the ocular surface temperature alteration after blink. The tear volume contributed to cooling due to evaporation, while the tear stability reduced tear evaporation rate, resulting in a stable ocular surface temperature. We also demonstrated that short-BUT dry eye, especially the

Declaration of competing interest

The authors have no commercial or proprietary interest in any concept or product described in this article.

Acknowledgment

This project was funded by Ministry of Science and Technology Taiwan (107-2221-E-155 -032 -MY3). The authors thank Ms. Yu Chin-Yen for her assistance with the clinical work as well as Mr. Liu Zi-Yuan for his assistance in developing the MATLAB code.

Clinical trial: FEMH-IRB-100143-E. v.02. Date20111124.

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