Association of Tear Matrix Metalloproteinase 9 Immunoassay With Signs and Symptoms of Dry Eye Disease: A Cross-Sectional Study Using Qualitative, Semiquantitative, and Quantitative Strategies

DOI: https://doi.org/10.21203/rs.3.rs-121664/v1

Abstract

This study aimed to analyze the association of tear matrix metalloproteinase 9 (MMP-9) immunoassay with the severity of dry eye (DE) signs and symptoms through qualitative, semiquantitative, and quantitative evaluations of immunoassay band. This cross-sectional study enrolled 320 eyes of 320 patients. The clinical signs of DE were assessed using the Ocular Surface Disorder Index (OSDI) score, visual analogue scale (VAS), tear breakup time (tBUT), tear volume evaluation by tear meniscometry, and staining scores of the cornea and conjunctiva by the Oxford grading scheme. Positive MMP-9 immunoassay results were significantly related to shorter tBUT, tBUT ≤3 seconds, higher corneal staining score, corneal staining score ≥2, and conjunctival staining score ≥2. The semiquantitative results of the MMP-9 immunoassay were positively correlated with higher corneal staining score and negatively correlated with tBUT. However, in the quantitative analysis, none of the DE signs or symptoms were correlated to the band density of the MMP-9 immunoassay. In conclusion, The qualitatively and semiquantitatively evaluated MMP-9 immunoassay results are related to the clinical severity of DE. However, the quantitatively evaluated MMP-9 immunoassay results did not represent the clinical severity of DE disease.

Introduction

Dry eye (DE) is a multifactorial disease of the tears and ocular surface that results in visual disturbance and tear film instability, and it negatively impacts daily living, emotional well-being, and the ability to work [1,2]. Until now, clinical assessment by Schirmer test and tear breakup time (tBUT) have been used to diagnose and assess DE severity 3,4 [3]. However, as inflammation is one of the core mechanisms in the development of DE, new diagnostic tools have emerged for detecting ocular surface inflammation [5], such as the InflammaDry (Quidel Corporation, San Diego, CA, USA) [6-8]. This assay can detect the presence of matrix metalloproteinase 9 (MMP-9) with a concentration >40 ng/mL in tears.

Various studies were performed to validate this new point-of-care MMP-9 immunoassay. Such studies mostly focused on the comparison of qualitative test results with the clinical symptoms of DE. Messmer et al. [9] reported that decreased tBUT, severe meibomian gland dysfunction (MGD), ocular surface staining, and low Schirmer test results were significantly correlated with positive MMP-9 results. Chotikavanich et al. [10] mentioned that MMP-9 positivity is significantly correlated with the symptom severity scores, topographic surface regularity index, conjunctival and corneal fluorescein staining scores, and tBUT.

MMP-9 is produced by corneal epithelium, and proinflammatory cytokines, such as tumor necrosis factor α, interleukin 1, and tumor growth factor β1, aggravate ocular surface inflammation in DE [5, 11]. Based on this, it can be assumed that worse ocular surface inflammation induces stronger antigen–antibody reaction, which results in stronger band density in MMP-9 immunoassay. However, studies on the relationship between MMP-9 and the clinical severity of DE are lacking

Methods

Aim, Study Design, and Setting

This study aimed to investigate the MMP-9 immunoassay results using qualitative, semiquantitative, and quantitative evaluations of immunoassay band and to evaluate the correlation between each test result and the clinical signs and symptoms of DE. This cross-sectional study enrolled 320 patients who visited our ophthalmic department from April 1, 2017, through October 1, 2018. The study adhered to the tenets of the Declaration of Helsinki and was approved by the institutional review board of Keimyung University Dongsan Hospital (IRB no. 2017-06-008). The patients signed informed consent for the use of their data. The study investigator collected clinical data and MMP-9 test results from the right eye of each enrolled patient.

Clinical Assessment of DE and Data Collected

Enrolled criteria

Patients with chief complaints of DE symptoms such as stinging, burning, and/or scratchy sensation in eyes and met at least one of the following four criteria were recruited: Ocular Surface Disease Index (OSDI) score >20, tBUT <5 seconds, tear meniscometry test results without anesthesia <5 mm/5 seconds, and corneal fluorescein staining results ≥1. Clinical evaluations were performed in the following sequence: OSDI questionnaire/visual analogue scale (VAS) score, tear meniscometry, tear MMP-9 immunoassay, tBUT, corneal and conjunctival staining scores, and meibomian gland evaluation after topical proparacaine (Paracaine; Hanmi Pharm, Seoul, South Korea) instillation. Patients with active ocular infection or inflammation, who were pregnant, or lacrimal drainage disorders such as lacrimal punctal stenosis, deformed lacrimal punctum, canalicular anomalies, and nasolacrimal duct obstruction; those receiving topical or systemic corticosteroid treatment or immunomodulatory therapy within 1 month; those who had fluorescein allergy, cornstarch or dacron allergy, undergone ocular surgery within 6 months, or had ocular trauma in the previous 3 months; and those who wore contact lenses within 72 hours were excluded.

Subjective symptoms

Patients underwent full ophthalmologic examination. Subjective symptoms were measured using the OSDI questionnaire [12]. OSDI scores range from 0 to 100, where 0 indicates no disability and 100 indicates complete disability. The degree of ocular pain was documented using the VAS, where 0 indicates no pain and 10 indicates worst possible pain [13].

Tear Strip Meniscometry for Tear Volume Evaluation

The tear volume was measured by tear meniscometry (SMTube®; Echo Electricity Co., Ltd., Fukushima, Japan). After blinking voluntarily 2 to 3 times, the tip of the tear meniscometry tube was applied to the lateral third area of the lower lid tear lake for 5 seconds. Tear volume was recorded by the length (in millimeters) of the stained tear column.

Tear MMP-9 Point-of-care Test

The tear MMP-9 immunoassay (InflammaDry) test was performed according to the manufacturer’s instruction by a single examiner (JHJ). To collect a tear sample, the sample collector was dabbed three times in three different locations of the inferior conjunctival palpebrae (temporal, middle, nasal; from nasal to temporal direction) and was placed against the temporal inferior palpebral conjunctiva for an additional 5 seconds. After that, the sample collector was snapped to a test cassette. After 5 seconds, the absorbent tip was immersed into a buffer solution. To evaluate the result band density of the test line under the same conditions, a photograph of the result window was taken with a slit-lamp biomicroscope mounted with a single-lens reflex camera (Canon EOS 700D, setting: ISO 400, shutter speed 1/200 sec; Canon USA, Melville, NY, USA) 20 minutes after the test initiation. Test results were interpreted using qualitative, semiquantitative, and quantitative. Qualitative analysis was performed using a two-point scale: 0=negative, 1=positive). Results were considered assay positive when there were other bands aside from than the faint band. Semiquantitative analysis based on the colour intensity of the test (red) line was performed by a single clinician (JHJ) using a four-point scale: 0=negative; 1=weak positive; 2=moderate positive; 3=strong positive (Figure 1). Quantitative analysis of red line band density was measured with ImageJ version 1.44p (National Institutes of Health, Bethesda, MD, USA) by three different experimenters (YHL, M-JS, and HK) [14]. First, the image of the test result was mounted to the ImageJ software and converted to 8-bit colour. Second, a square that included both the reagent and control bands was drawn. Third, the first lane was selected, followed by the select plot lanes in the analyze tool. Fourth, two peak points were checked, and two lines that constituted the most ideal parabola were drawn. Lastly, the wand tool was select, and the area that represents the reagent (Figure 2a) and control band (Figure 2b) densities was clicked. The quantitative results were calculated by the ratio of the reagent band density to the control band density from ImageJ.

tBUT

The tBUT was assessed by a wetted fluorescein strip (Haag-Streit AG, Koeniz, Switzerland) touched into the lower inferotemporal bulbar conjunctiva. Patients were instructed to blink, and the interval time between the last blink and the first appearance of dark spots in the tear film was recorded using a stopwatch under blue-light illumination with a biomicroscope and x10 magnification.

Corneal and Conjunctival Stain Scores

Corneal and conjunctival staining was conducted using fluorescein instillation into the tear film, and the score was measured using the Oxford grading scheme. The degree of staining was based on the number of dots on series of panels (A–E); the staining score ranges from 0 to 5 for each panel, for a total possible score ranging from 0 to 15 for the exposed interpalpebral conjunctiva and cornea [15]. The conjunctival stain score was measured for the nasal and temporal sides of the right eye, and the total score was used for the correlation analysis.

Meibomian Gland Evaluation

MGD was assessed according to its secretion turbidity and expressibility. Turbidity was graded from 0 to 3: clear=0; cloudy=1; granular=2; inspissated=3. Expressibility was assessed after application of topical anesthesia and graded from 0 to 3: 0=clear meibum with easily expressed, 1=cloudy meibum expressed with mild pressure, 2=thick cloudy meibum expressed with more than moderate pressure; 3=meibum not expressed, even with hard pressure [16, 17].

Statistical methods

Data were calculated as mean ± standard deviation (SD), unless otherwise specified. Statistics were analyzed using SPSS version 12.0 (IBM, Chicago, IL, USA). The between-group differences in age, OSDI score, VAS score, tear meniscometry, tBUT, corneal staining, conjunctival staining, turbidity, and expressibility of the meibomian gland were compared using independent t-test. The relationship of various systemic diseases related to the DE and MMP-9 positivity was analyzed using chi-square test. The Spearman correlation test was performed between semiquantitative MMP-9 results and age, OSDI score, VAS score, tear meniscometry results, tBUT, corneal staining score, conjunctival staining score, and MGD score. The Pearson correlation test was performed between quantitative results of MMP-9 and other age, OSDI score, VAS score, tear meniscometry results, tBUT, corneal staining score, conjunctival staining score, and MGD score. Two-sided p values <0.05 were considered statistically significant

Results

Qualitative Results of the MMP-9 Immunoassay

Demographics of the study populations

A total of 320 patients (320 eyes) were included in the study. The mean age was 58±13 years (range, 14–90 years) and 97 (30%) were men. One hundred eighty-two patients had confirmed DE. The demographic data of patients according to MMP-9 positivity are shown in Table 1. There are no significant differences between the groups, and the presence of systemic autoimmune disease and Sjögren disease was not significantly different either (p>0.05).

Comparisons between the qualitative results of the MMP-9 immunoassay and symptoms of dry eye

There were no statistically significant differences in OSDI and VAS between the MMP-9–positive and MMP-9–negative groups (Table 2).

Tear volume measurements by tear meniscometry

There was no statistically significant difference in mean tear volume, as measured by tear meniscometry, between the MMP-9–positive and MMP-9–negative groups (Table 2).

Tear breakup time

The mean tBUT of the MMP-9–positive group was shorter than that of the MMP-9–negative group, and it was statistically significant. Furthermore, when stratified by tBUT <3 seconds, the MMP-9–positive group showed significantly shorter tBUT than the MMP-9–negative group (Table 2).

Corneal and conjunctival stain score

The mean corneal stain score of the MMP-9–positive group was higher, and it was statistically significant. When it was stratified by a corneal stain score >2, significantly more patients were observed in the MMP-9–positive group than that in the MMP-9–negative group (Table 2). In addition, the mean conjunctival stain scores of the MMP-9–positive and MMP-9–negative groups were not significantly different. When stratified by a conjunctival staining score >2, significantly more patients were observed in the MMP-9–positive group than that in the MMP-9–negative group (Table 2).

MGD

The mean meibomian gland turbidity in the MMP-9–negative group was slightly higher than that of the MMP-9–positive group, but the difference was not statistically significant. The grades of meibomian gland expression were not significantly different between the two groups. A higher percentage of MGD grade >3 was noted in the MMP-9 positive group, but it was not statistically significant (Table 2).

Semiquantitative and Quantitative Results of the MMP-9 Immunoassay

Demographics of the study populations

The demographics of the allocated patients are shown in Table 3. No difference in age, sex, systemic autoimmune disease, Sjögren syndrome, and systemic diseases (diabetes, hypertension, thyroid disease, cardiac disease, sleep disorder, Parkinson disease, other neurologic disease, and pulmonary disease) was observed in the four groups (p>0.05).

Comparisons between the semiquantitative results of the MMP-9 immunoassay and DE severity

No significant difference in age, OSDI, VAS, Schirmer score, tBUT, tBUT ≤3 seconds, corneal staining score, conjunctival staining score, conjunctival staining score ≥2, meibomian gland turbidity, expression, and dysfunction was observed in the four groups (p>0.05). However, significant difference was observed in corneal staining score ≥2 (Table 4). The subgroup analysis showed significantly higher percentages of corneal staining score ≥2 in grade 1 and 2 groups than in grade 0 group (grade 0 vs. grade 1: p=0.02; grade 0 vs. grade 3: p=0.011).

Clinically significant associations with semiquantitative MMP-9 immunoassay results

The tBUT showed significant negative correlation with the semiquantitative MMP-9 immunoassay results (Table 5). In contrast, the corneal staining score showed significant positive correlation with the semiquantitative MMP-9 immunoassay results (Table 5). Other parameters, such as age, OSDI score, VAS score, Schirmer score, MGD, and conjunctival staining score, showed nonsignificant correlation (Table 5, p>0.05).

Clinically significant associations with quantitative MMP-9 immunoassay results

The age, OSDI, VAS, Schirmer score, tBUT, corneal staining score, conjunctival staining score, and MGD showed clinically nonsignificant correlation with the quantitative MMP-9 immunoassay results (Table 6, p>0.05).

Discussion

DE is a chronic condition affecting 5% to 30% of the population aged 50 years or older [1]. Traditionally, symptoms of DE are evaluated using DE questionnaires, and DE signs are assessed by tBUT, corneal staining score, conjunctival staining score, tear film assessment, and the Schirmer test [1, 18]. However, the pathogenesis of DE is still not fully understood. During the past 20 years, clinicians have paid more attention to inflammation and recognized its key role in the development and amplification of signs and symptoms of DE 19[19]. MMP-9 is a nonspecific biomarker of inflammation, and elevated tear MMP-9 levels were found in DE [7, 10]. Aragona et al. [20] demonstrated that MMP-9 levels measured by polymerase chain reaction correlated well with corneal or conjunctival stain scores and tBUT. Quantitative analysis of MMP-9 using enzyme-linked immunosorbent assay had been introduced; however, this method is time-consuming and expensive, rendering it difficult to use routinely in clinics [21]. To overcome these drawbacks, the MMP-9 immunoassay (InflammaDry) was developed. This immunoassay has advantages of low cost, rapid results, and ease of device preparation [22].

Although InflammaDry is a point-of-care immunoassay developed to discriminate between DE and non-DE, clinicians inevitably became curious about the clinical meaning of weak positive and strong positive results. In addition, the basic principle of InflammaDry is that the band is expressed through a colourimetric reaction based on antigen–antibody binding; thus, there is a possibility that the distinctness of the band may vary in proportion to the concentration of MMP-9, that is, the degree of clinical ocular surface inflammation.

In the present study, we evaluated the result of tear MMP-9 immunoassay test using qualitative, semiquantitative, and quantitative analyses of immunoassay band. In the qualitative analysis, shorter tBUT, tBUT ≤3 seconds, higher corneal staining score, corneal staining score ≥2, and conjunctival staining score ≥2 were related to a positive MMP-9 immunoassay result. This implies that positive MMP-9 immunoassay results are correlated to the clinical severity of DE.

In addition, we found that shorter tBUT and higher corneal stain score, which already showed significant differences in the qualitative analysis, were correlated to the semiquantitative MMP-9 immunoassay results. Shimazaki-Den et al. [23] showed the close relation of mucin components with tBUT. As mucin plays an important role in maintaining corneal health and is secreted by the goblet cells, and diminished goblet cell density is observed in chronic inflammation such as allergy, the decreased mucin secretion caused by chronic inflammation resulted in stronger band density 24[24]. This finding is also consistent with that of Park et al. [25], to some extent, who demonstrated good correlation between semiquantitative MMP-9 grading and DE signs and symptoms. In our results, however, we could not identify any correlation between clinical symptoms and MMP-9 positivity. This is because the symptoms of DE is nonspecific, as similar symptoms can present in various ocular surface diseases, and Pflugfelder et al. [26] reported that only 57% of symptomatic patients showed clinical signs of DE.

The quantitative analysis using ImageJ showed no correlation between the immunoassay band density and the clinical signs and symptoms of DE. This implies that quantitative analysis of the immunoassay is insufficient for assessing the clinical severity of DE. The reason for the discrepancies between the semiquantitative and quantitative results might be that the semiquantitative results are only based on the interpretation of reagent band density, whereas the quantitative results are based on both the reagent and control band densities. Same reagent band density can be read differently in the semiquantitative and quantitative analyses of MMP-9 immunoassay. Furthermore, our previous study pointed out that the InflammaDry test band density is influenced by tear volume [8, 27]. The lack of assessment of individual tear volume might have resulted in missing the correlation between the quantitative test results and the clinical signs and symptoms of DE. Thus, further studies assessing the correlation between the clinical signs and symptoms of DE and the MMP-9 immunoassay should consider the tear volume.

The following limitation must be considered. We could not evaluate the tear MMP-9 levels in this study. Measuring the real concentration of MMP-9 in tears could provide more accurate information for semiquantitative or quantitative analysis. However, we suggest that the quantitative analysis using the ratio of the reagent band density to the control band density can indirectly represent the tear MMP-9 levels.

In conclusion, The qualitatively and semiquantitatively evaluated MMP-9 immunoassay results are related to the clinical severity of DE. However, the quantitatively evaluated MMP-9 immunoassay results did not represent the clinical severity of DE disease.

Declarations

Data availability

The datasets generated and/or analysed during the present study are available from the corresponding author on reasonable request.

Acknowledgements

Not applicable

Author Contributions

Y.H.L. conception of work, data analysis and interpretation, and manuscript writing. S.P.B. data acquisition and analysis. K.Y.S. data acquisition and analysis. M.J.S. data acquisition and analysis. H.R.K. data acquisition and analysis. J.H.J. conception of work, manuscript writing, and substantial revision. All authors reviewed and approved the final manuscript.

Corresponding author

Correspondence to Jong Hwa Jun.

Competing Interests

The authors declare no competing interests.

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Tables

Table 1. Demographics in MMP-9 positive versus negative patients.

Parameters

MMP-9 positive

(n = 205)

MMP-9 negative

(n = 115)

P value

 

Age, mean (SD)

59 (14)

58 (13)

0.484

 

Gender, n (%) male

65 (31.7%)

32 (27.8%)

0.527

 

Systemic autoimmune disease

(except Sjögren syndrome), n (%)

20 (9.8%)

14 (12.2%)

0.571

 

Sjögren syndrome, n (%)

26 (12.7%)

9 (7.8%)

0.197

 

Diabetes, n (%)

19 (9.3%)

5 (4.3%)

0.125

Hypertension, n (%)

53 (25.9%)

25 (21.7%)

0.498

Thyroid disease, n (%)

27 (13.2%)

15 (13.2%)

1.000

 

Cardiac disease, n (%)

18 (8.8%)

12 (10.4%)

0.690

 

Sleep disorder, n (%)

16 (7.8%)

16 (13.9%)

0.085

 

Parkinson disease, n (%)

21 (10.2%)

8 (7.0%)

0.418

 

Other neurologic disease, n (%)

27 (13.2%)

14 (12.2%)

0.863

 

Pulmonary disease, n (%)

10 (4.9%)

6 (5.2%)

1.000

 

                 

MMP-9, matrix metalloproteinase-9.

Table 2. Comparison of clinical signs and symptoms in MMP-9 positive versus negative patients.

Parameters

MMP-9 positive

(n = 205)

MMP-9 negative

(n = 115)

P value

OSDI score, mean (SD)

35.2 (23.7)

33.8 (24)

0.628

VAS scale, mean (SD)

3.1 (2.7)

2.6 (2.8)

0.106

Schirmer score, mm, mean (SD)

4.7 (2.4)

4.7 (2.4)

0.919

tBUT, sec, mean (SD)

3.9 (2.6)

4.8 (3.6)

0.020*

tBUT, ≤3, n (%)

123 (60.0%)

56 (48.7%)

0.047*

Corneal staining, score, mean (SD)

1.2 (1.1)

0.9 (1.0)

0.012*

Corneal staining, ≥2, n (%)

94 (45.9%)

37 (32.2%)

0.018*

Conjunctival staining, score, mean (SD)

1.6 (2.0)

1.2 (1.8)

0.058

Conjunctival staining, ≥2, n (%)

94 (45.9%)

35 (30.7%)

0.008*

Meibomian gland turbidity, grade, mean (SD)

1.1 (0.7)

1.2 (0.6)

0.912

Meibomian gland expression, grade, mean (SD)

1.3 (1.1)

1.2 (1.0)

0.362

Meibomian gland dysfunction, ≥3, n (%)

108 (52.7%)

53 (46.1%)

0.411

MMP-9, matrix metalloproteinase-9; OSDI, ocular surface disease index; VAS, visual analogue scale; tBUT, tear break up time

*Statistically significant by independent two-samples t test or Pearson’s chi square test.

Table 3. Demographics of semiquantitative results of MMP-9 point-of-care test.

Parameters

Grade 0

(n = 115)

Grade 1

(n = 124)

Grade 2

(n = 50)

Grade 3

(n = 31)

P value

Age, mean (SD)

58 (13)

57 (13)

61 (12)

60 (16)

0.846

Gender, n (%) male

32 (28%)

32 (26%)

19 (38%)

14 (45%)

0.104

Systemic autoimmune disease (except Sjögren syndrome), n (%)

14 (12%)

14 (11%)

5 (10%)

1 (3%)

0.541

Sjögren syndrome, n (%)

9 (8%)

14 (11%)

10 (20%)

2 (6.5%)

0.111

Diabetes, n (%)

5 (4%)

9 (7%)

7 (14%)

3 (10%)

0.178

Hypertension, n (%)

25 (22%)

25 (20%)

17 (34%)

11 (36%)

0.102

Thyroid disease, n (%)

15 (13%)

17 (14%)

6 (12%)

4 (13%)

0.991

Cardiac disease, n (%)

12 (10%)

11 (9%)

3 (6%)

4 (13%)

0.726

Sleep disorder, n (%)

16 (14%)

8 (7%)

7 (14%)

1 (3%)

0.104

Parkinson disease, n (%)

8 (7%)

11 (9%)

6 (12%)

4 (13%)

0.636

Other neurologic disease, n (%)

14 (12%)

16 (13%)

5 (10%)

6 (20%)

0.663

Pulmonary disease, n (%)

6 (5%)

4 (3%)

4 (8%)

2 (7%)

0.590

MMP-9, matrix metalloproteinase-9.

Table 4. Comparison of clinical signs and symptoms in semiquantitative results of MMP-9 point-of-care test.

Parameters

Grade 0

(n = 115)

Grade 1

(n = 124)

Grade 2

(n = 50)

Grade 3

(n = 31)

P value

OSDI score, mean (SD)

33.8 (24.0)

36.0 (24.1)

34.7 (24.7)

33.0 (20.9)

0.888

VAS scale, mean (SD)

2.5 (2.8)

3.2 (2.6)

3.0 (3.0)

2.6 (2.2)

0.288

Schirmer score, mm, mean (SD)

4.7 (2.4)

4.8 (2.5)

4.5 (2.5)

4.7 (2.4)

0.846

tBUT, sec, mean (SD)

4.8 (3.6)

3.7 (2.3)

4.2 (3.2)

4.0 (2.9)

0.060

tBUT, ≤ 3, n (%)

56 (48.7)

78 (63.0)

28 (56.0)

18 (58.1)

0.252

Corneal staining, score, mean (SD)

0.9 (1.0)

1.2 (1.1)

1.4 (1.1)

1.1 (1.0)

0.102

Corneal staining, ≥2, n (%)

29 (25.2)

49 (39.5)

23 (46.0)

11 (35.5)

0.036*

Conjunctival staining, score, mean (SD)

1.2 (1.8)

1.8 (2.1)

1.5 (1.8)

1.2 (1.5)

0.288

Conjunctival staining, ≥2, n (%)

37 (32.2)

63 (50.8)

20 (40.0)

11 (35.5)

0.457

Meibomian gland turbidity, grade, mean (SD)

1.2 (0.7)

1.2 (0.7)

0.9 (0.6)

1.2 (0.8)

0.074

Meibomian gland expression, grade, mean (SD)

1.2 (1.0)

1.3 (1.1)

1.3 (1.1)

1.5 (1.2)

0.660

Meibomian gland dysfunction, ≥3, n (%)

53 (46.1)

65 (52.4)

24 (48.0)

18 (58.1)

0.388

MMP-9, matrix metalloproteinase-9; OSDI, ocular surface disease index; VAS, visual analogue scale; tBUT, tear break up time

*Statistically significant by linear by linear association chi square test.

Table 5. Clinically significant associations with semiquantitative results of MMP-9 point-of-care test

Parameters

r value

P value

Age

0.094

0.093

OSDI score

0.012

0.842

VAS score

0.074

0.199

tBUT

-0.125

0.025*

Schirmer score

-0.017

0.766

Meibomian gland dysfunction

0.033

0.613

Conjunctival staining score

0.060

0.281

Corneal staining score

0.122

0.029*

MMP-9, matrix metalloproteinase-9; OSDI, ocular surface disease index; VAS, visual analogue scale; tBUT, tear break up time

*Statistically significant by linear Spearman rank correlation test.

Table 6. Clinically significant associations with quantitative results of MMP-9 point-of-care test

Parameters

r value

P value

Age

0.021

0.720

OSDI score

0.037

0.539

VAS score

-0.009

0.276

tBUT

-0.015

0.293

Schirmer score

-0.019

0.748

Meibomian gland dysfunction

0.034

0.622

Conjunctival staining score

0.021

0.720

Corneal staining score

0.113

0.052

MMP-9, matrix metalloproteinase-9; OSDI, ocular surface disease index; VAS, visual analogue scale; tBUT, tear break up time.