Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 2.1 (5-Year IF – 2.0)
Journal Citation Indicator (JCI) (2023) – 0.4
Scopus CiteScore – 3.7 (CiteScore Tracker – 4.1)
Index Copernicus  – 171.00; MNiSW – 70 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

Download original text (EN)

Advances in Clinical and Experimental Medicine

2022, vol. 31, nr 12, December, p. 1413–1418

doi: 10.17219/acem/156645

Publication type: research letter

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

Download citation:

  • BIBTEX (JabRef, Mendeley)
  • RIS (Papers, Reference Manager, RefWorks, Zotero)

Cite as:


Alanazi MA, El-Hiti GA, Alhafy N, et al. Correlation between osmolarity measurements using the TearLab™ and I-Pen® systems in subjects with a high body mass index. Adv Clin Exp Med. 2022;31(12):1413–1418. doi:10.17219/acem/156645

Correlation between osmolarity measurements using the TearLab™ and I-Pen® systems in subjects with a high body mass index

Mana A. Alanazi1,A,C,D,E,F, Gamal A. El-Hiti1,A,C,D,E,F, Naif Alhafy1,B, Essam S. Almutleb1,A,C,D,E,F, Raied Fagehi1,A,C,D,E,F, Saud A. Alanazi1,A,D,E,F, Ali M. Masmali1,A,D,E,F

1 Optometry Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

Abstract

Background. Osmolarity is used to detect symptoms of dry eye disease (DED) and can be measured using TearLab and I-Pen® systems.

Objectives. To investigate the correlation between osmolarity measurements using the TearLab and I-Pen® systems in subjects with a high body mass index (BMI).

Materials and methods. Thirty male subjects with a high BMI (27–48 kg/m2; 23.3 ±2.1 years old) participated in this study. The control group consisting of 30 healthy males (24.9 kg/m2; 22.9 ±2.1 years old) was also enrolled. Osmolarity measurements were recorded from the right eye using the TearLab and I-Pen® systems, and interviews were conducted to determine ocular surface disease index (OSDI) scores.

Results. The OSDI (p = 0.042), TearLab (p < 0.001) and I-Pen® (p < 0.001) scores were significantly higher in the study group than in the control group. In the study group, OSDI scores ranged from 2 to 16 (median 8.0, interquartile range (IQR) 6.8), while it was from 0 to 10 (median 6.3, IQR 4.1) in the control group. The TearLab™ osmolarity scores were in the range of 278–309 mOsm/L in the study group, whereas the I-Pen® osmolarity measurements were in the range of 294–336 mOsm/L in the study group, compared with 263–304 mOsm/L and 278–317 mOsm/L in the control group, respectively. In the study group, there was a strong correlation between the TearLab™ and I-Pen® osmolarity scores (r = 0.934; p = 0.001). In addition, strong correlations were found between the BMI and both TearLab™ (r = 0.736; p = 0.001) and I-Pen® (r = 0.707; p = 0.001) scores, as well as between the OSDI scores and both TearLab™ (r = 0.731; p = 0.001) and I-Pen® measurements (r = 0.666; p = 0.001).

Conclusions. Osmolarity measurements using the I-Pen® system were significantly higher than those recorded using the TearLab system in subjects with a high BMI. The I-Pen® measurements showed large variations in osmolarity scores and were highly unreliable in correctly identifying normal eyes compared to the TearLab system. Also, a strong correlation was found between the osmolarity scores obtained from the TearLab and I-Pen® systems.

Key words: tear film, dry eye, tear osmolarity, high body mass index, TearLab system, I-Pen® system

 

Background

The prevalence of obesity has been increasing in recent years and has become a challenge for society and a major public health concern globally.1, 2 The simplest measurement of obesity uses body mass index (BMI), and high BMI is a risk factor for many health problems and diseases.3 For example, high BMI is associated with heart disease,4 stroke,5 hypertension,6 diabetes,7 and cancer.8 In addition, it is a risk factor for glaucoma,9 cataracts10 and diabetic retinopathy.11

Dry eye disease (DED) is a common visual disorder that affects many people worldwide.12 The prevalence of DED is increasing, and it has a negative effect on activities of daily life, quality of life, productivity, and on the economy.13 This disease leads to discomfort, damage to the ocular surface, visual impairment, irritation, inflammation, light sensitivity, and increased osmolarity.14 Dry eye disease occurs due to the loss of ocular surface homeostasis. It leads to tear film instability15 and a decrease in wettability of the eye surface due dysfunction of goblet and epithelial cells.16 Furthermore, the symptoms of DED can result from hyperosmolarity, lack of lubrication, and irregularities on the ocular surface.16 Risk factors for DED include old age and female sex. They also include contact lenses wearing, cosmetics, medications, and systemic diseases such as diabetes, thyroid gland disorders and β thalassemia.17 In addition, DED is associated with several environmental factors, including high temperature and humidity, sun exposure and wind.17

Diagnosis of DED should be based on quantifiable objective and subjective evaluations.18 Multiple tools are available for such diagnosis, including the ocular surface disease index (OSDI), tear osmolarity, tear break-up time, and Schirmer tests, among others. The OSDI evaluates ocular symptoms, vision-related functions and environmental triggers, and has good validity, consistency and reliability.18 Osmolarity testing provides useful information on the hyperosmolarity of the tear film,19 and the in vivo tear osmolarity test has been commonly used since the introduction of new osmometers such as the TearLab system.20 Tear osmolarity measurements using TearLab are accurate, precise and fast, and the system is easy to use to diagnose and classify DED based on severity.21, 22 However, other reports have raised questions over the ability of TearLab to diagnose DED.23, 24 The I-Pen® osmolarity system has also been used in recent years to measure tear osmolarity.25 However, correlations between osmolarity scores based on the I-Pen® and other objective and subjective parameters of DED are poor.25

The prevalence of obesity in Saudi Arabia is high (24.7%).26 Therefore, this comparative, nonrandomized, prospective study investigated the correlation between osmolarity scores in male subjects with a high BMI using 2 different devices. Data from these devices were then compared to scores obtained from the OSDI. In addition, OSDI and osmolarity scores were compared with the scores recorded for a healthy control group.

Objectives

To investigate the correlation between osmolarity measurements using the TearLab and I-Pen® systems in subjects with high BMI.

Materials and methods

Subjects

Thirty male subjects with a high BMI (27–48 kg/m2; mean ± standard deviation (M ±SD) = 35.5 ±6.5 kg/m2), aged 19–27 years (mean ±SD = 23.3 ±2.1 years), participated in the study. The benchmark for high BMI used in the study was 25 kg/m2.27 In addition, a control group of 30 healthy males (BMI < 24.9 kg/m2; age range 20–28 years; mean age 22.9 ±2.1 years) was included in the study. The subjects were predominantly Saudi Arabians recruited from the population of Riyadh, the capital city of this country. Exclusion criteria included smoking, refractive errors, visual acuity less than 20/20, diabetes, anemia, wearing contact lenses, and a history of ocular surgery. In addition, subjects with high blood cholesterol (above 4 mmol/L), thyroid gland disorders, hypertension, and vitamin A or D deficiencies were excluded. Written informed consent was obtained from all participants. The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of King Saud University (approval No. E-22-6803).

Participants were asked to complete the OSDI questionnaire, after which osmolarity measurements were performed. The TearLab system was used first; then, after a 5-minute rest period, the I-Pen® system was applied. Tests were performed once on the right eye of each participant by the same examiner in the same session, and all tests were conducted at the Department of Optometry, College of Applied Medical Sciences, Riyadh, Saudi Arabia. The measurements took place on the morning over several days. We previously demonstrated TearLab measurements to have a low average coefficient of variation (CV) of 0.80%.20 Therefore, to minimize inaccuracies due to variable environmental conditions, the temperature, humidity and airflow were controlled in the room where the measurements were made.

Ocular surface disease index

The OSDI questionnaire was conducted in English in an interview format. All 12 questions included in the OSDI were answered by all subjects in the study and control groups. A score was assigned to each participant, with a score greater than 13 used to confirm the diagnosis.28

TearLab™ osmolarity

The TearLab osmolarity system was obtained from the TearLab Corporation (San Diego, USA). Electronic cards were used to test the osmolarity system (the value of 334 ±4 mOsm/L means that the system is functioning well) at the beginning of each day to ensure its proper function. The system uses a very small volume of tear sample (50 nL), which was collected from the lateral lower tear meniscus without touching the lid margin or the globe. The countertop unit of the system analyzed the tear sample and displayed the osmolarity score on a digital screen. Based on the osmolarity measurements, the subject’s eyes were classified as normal (<308 mOsm/L) or dry (>308 mOsm/L).29

I-Pen® osmolarity

The I-Pen® osmolarity system was obtained from I-MED Pharma (Dollard-des-Ormeaux, Canada) and was used in a distance of at least 2 m from any electronic devices to reduce the risk of interference leading to inaccurate readings. A single-use sensor was utilized for each participant; it was placed against the conjunctiva in the lower fornix to determine tear osmolarity. Dry eye disease was defined as a score of more than 308 mOsm/L.29

Statistical analyses

Microsoft Excel 2016 (Microsoft Corp., Redmond, USA) was used to record the data, which were then analyzed with IBM SPSS v. 22 (IBM Corp., Armonk, USA). The data were determined to be non-normally distributed using the Kolmogorov–Smirnov test (p < 0.05). Therefore, the Mann–Whitney U test was employed to analyze the data in both groups. Spearman’s correlation coefficient (r) was used to test the association between different parameters.30 Meanwhile, the Wilcoxon signed-rank test was employed to investigate the significance of any differences between the 2 osmolarity measurements within the same group. The mean scores were represented as the median and interquartile range (IQR).

Results

Tear osmolarity measurements were significantly different between the TearLab and I-Pen® systems, in both the study and control groups (p < 0.001). Also, median scores for the OSDI and osmolarity measurements were significantly higher in the study group than in the control group (Table 1). Indeed, OSDI scores ranged from 2 to 16 in the study group and from 0 to 10 in the control group. Six subjects (20%) in the study group had symptoms of DED according to the OSDI scores, whilst no DED symptoms were found in the control group. The same 6 subjects were also diagnosed with dry eyes using both the TearLab and I-Pen® osmolarity systems. Osmolarity scores in the study group using TearLab (278–309 mOsm/L) indicated that 33% (n = 10) of the participants had symptoms of DED, whilst the control group showed no symptoms (263–304 mOsm/L). Meanwhile, I-Pen® osmolarity measurements in the study group (294–336 mOsm/L) indicated that 70% (n = 21) of studied people had DED, while 30% (n = 9) of members of the control group (278–317 mOsm/L) has this disease.

Subjects in the study group were stratified into 4 categories based on their BMI: overweight (27−28 kg/m2; n = 7); class 1 obesity (30−32 kg/m2; n = 8); class 2 obesity (35−39 kg/m2; n = 9); and class 3 obesity (40−48 kg/m2; n = 6). In the class 1 obesity group, there was a strong correlation (r = 0.976; p = 0.001) between the TearLab and I-Pen® measurements. Also, there were strong correlations between the OSDI scores and the TearLab (r = 0.892; p = 0.017) and I-Pen® (r = 0.926; p = 0.0081) measurements in this group. There was also a strong correlation between the TearLab and I-Pen® measurements in the class 2 obesity group (r = 0.962; p = 0.009) and in the class 3 obesity group (r = 0.965; p = 0.035). No correlations were found among the OSDI or osmolarity systems in the overweight subjects.

Correlations between age, BMI, OSDI, TearLab, and I-Pen® scores for the whole study group were investigated. Strong correlations were found between the scores obtained from the TearLab and I-Pen® osmolarity systems (r = 0.934; p= 0.001). The BMI strongly correlated with both the TearLab (r = 0.736; p = 0.001) and I-Pen® (r = 0.707; p = 0.001) scores. In addition, the OSDI had strong correlations with TearLab (r = 0.731; p = 0.001) and I-Pen® (r = 0.666; p = 0.001).

Bland–Altman plots (Figure 1) show the mean differences in osmolarity for TearLab and I-Pen® measurements in the study and control groups. There was a strong correlation (r = 0.697; p < 0.01) between the TearLab and I-Pen® measurements in the study group, while a weak correlation (r = 0.358; p < 0.01) was found between the 2 measurements in the control group. The correlation between the TearLab and I-Pen® osmolarity scores in the study group is shown in Figure 2. Based on Spearman’s correlation coefficient, a strong correlation was found between the TearLab and I-Pen® scores in both the study (r = 0.904; p < 0.001) and control (r = 0.972; p < 0.001) group.

Discussion

Obesity is associated with many disorders, such as neurological, behavioral and mental diseases.31, 32 Moreover, it is associated with high rates of mortality, bacterial infections, influenza, pneumonia, and many other illnesses.33, 34 An association between DED and body fat has been established.35, 36, 37 As such, high BMI is a risk factor for DED and significantly affects tear film stability and the quality of tears.35 Furthermore, an association between BMI and floppy eyelid syndrome has been reported.38

Osmolarity measurements using both I-Pen® and TearLab systems indicated that high BMI could induce DED. It should be noted that the median OSDI score for the control group (median 6.3 (IQR 4.1)) in the current study was comparable to those reported recently for healthy subjects by Fegahi et al. (median 8.3, IQR 8.8), Abusharha et al. (median 5.6, IQR 7.0) and Fagehi et al. (median 5.0, IQR 5.6).39, 40, 41 For the study group, the median OSDI score (median 8.0 (IQR 6.8)) was comparable to smokers (median 8.3 (IQR 16.2))39 and lower than for subjects with high BMI (median 10.2 (IQR 16.4)),39 diabetes (median 12.0 (IQR 8.3)),40 myopia (median 11.0 (IQR 7.5)),41 and hyperopia (median 10.0 (IQR 33.5)).41

As reported in a study by Alanazi et al., in subjects with high BMI, there were strong correlations between age and OSDI scores (r = 0.522; p = 0.018), tear meniscus height (TMH) measurements (r =–0.503; p = 0.024) and tear ferning (TF) grades (r = 0.579; p = 0.007).35 The noninvasive tear break-up time had strong negative correlations with the TMH (r = –0.520; p = 0.008) and phenol red thread (PRT) scores (r = –0.498; p = 0.029). In addition, the TF grades had strong negative correlations with the TMH (r = –0.575; p = 0.008) and PRT (r = –0.773; p = 0.001) scores.35

The hyperosmolarity of tears can be used as a marker of DED, as subjects with DED tend to have significantly greater hyperosmolarity than healthy subjects.21 Hyperosmolarity is responsible for many DED symptoms, such as irritation, inflammation and ocular surface damage.42 Also, osmolarity testing provides useful information on the tear film.25 However, the correlations between osmolarity scores and those obtained from other DED tests are poor.19 The current study suggests that osmolarity measurements using both the TearLab and I-Pen® systems are strongly correlated to each other in subjects with high BMI. However, the I-Pen® scores were significantly higher than the TearLab scores. Similar results were obtained in healthy subjects.43 In addition, a correlation between tear film stability (tear break-up time) and tear volume (TMH and PRT) was reported.44

Rocha et al. measured osmolarity of 3 tear solutions of known osmolarity values (297 mOsm/L, 342 mOsm/L and 383 mOsm/L), containing mono- and divalent electrolytes along with albumin, were measured using the TearLab, I-Pen® and Wescor 5520 osmometers. Mean osmolarity scores for the 3 tear solutions were 300.6 ±3.7 mOsm/L, 341.4 ±4.7 mOsm/L and 376.8 ±5.1 mOsm/L using TearLab, 336.4 ±21.5 mOsm/L, 342.0 ±20.7 mOsm/L and 345.7 ±22.0 mOsm/L using I-Pen®, and 305.6 ±4.0 mOsm/L, 352.2 ±5.5 mOsm/L and 389.8 ±4.0 mOsm/L using the Wescor 5520 osmometer.45 Meanwhile, the CV was in the range of 1.2–2.3%, 1.0–1.6% and 6.1–6.4% for TearLab, I-Pen® and the Wescor 5520 osmometer, respectively.45 Clearly, the TearLab and Wescor 5520 osmometers provided more accurate and precise measurements than the I-Pen® system.45 Indeed, both the osmolarity scores and CV were high when using the I-Pen® system.

In a study by Nolfi et al., osmolarity was measured in 20 subjects (mean age: 27 ±8 years) with normal eyes (16 females and 4 males) using both the TearLab and I-Pen® systems. The mean osmolarity recorded was significantly (p < 0.001) lower for TearLab (295.4 ±8.6 mOsm/L) than for I-Pen® (319.4 ±20.3 mOsm/L).46 In terms of diagnostic accuracy, I-Pen® identified normal eyes in only 15% of the subjects (n = 3), whereas TearLab indicated normal eyes in all subjects (n = 20).47 The CV for the TearLab measurements was 1.3%, which agrees with that reported by the manufacturer (1.5%).47 Clearly, I-Pen® showed large variations among osmolarity measurements and was highly unreliable in identifying normal eyes correctly. Calles et al. showed that I-Pen® is very sensitive to temperature and the measurements can vary by 2% for a 1°C change in temperature.48 Motion is another factor that can affect the osmolarity measurements using the I-Pen® system. However, such a factor is not an issue with a highly skilled researcher.

Another study conducted among healthy subjects showed that the average osmolarity scores were 299.2 ±10.3 mOsm/L and 298.4 ±10.0 mOsm/L using the TearLab and Wescor 5520 osmometers, respectively, with a moderate correlation (r = 0.500, p < 0.05) between both scores.49 The correlation (r = 0.650, p < 0.05) between TearLab and Wescor 5520 was better when using samples of collected tears (3 µL). Recently, the repeatability of the I-Pen® measurements has been tested in normal-eye subjects.50 The main score was 308 ±4.8 mOsm/L, with a CV of 4.6%, which is much higher than that for the TearLab system.50

Limitations

Limitations of the study include the recruitment of a small sample size, only young males participating, a single osmolarity measurement, and single location (Riyadh). In addition, the effect of the order of use of the osmolarity systems was not tested.

Conclusions

Osmolarity measurements using the I-Pen® system were significantly higher than those using the TearLab system in subjects with a high BMI. The I-Pen® measurements showed large variations in osmolarity scores and were highly unreliable in identifying normal eyes correctly compared with the TearLab system. A strong correlation was found between the osmolarity scores obtained using TearLab and I-Pen®.

Tables


Table 1. Median (IQR) for the ocular surface disease index (OSDI) and osmolarity scores

Parameter

Study group (n = 30)

Control group (n = 30)

p-value

OSDI

8.0 (6.8)

6.3 (4.1)

0.042

TearLab™ [mOsm/L]

295.5 (13.3)

287.0 (12.5)

<0.001

I-Pen® [mOsm/L]

318.5 (18.8)

298.5 (12.3)

<0.001

Figures


Fig. 1. Bland–Altman plots of the osmolarity mean differences for TearLab and I-Pen® measurements in (A) the study group (high body mass index) and (B) the control group
Fig. 2. Correlation between the TearLab and I-Pen® osmolarity scores in the study group

References (50)

  1. Stenholm S, Head J, Aalto V, et al. Body mass index as a predictor of healthy and disease-free life expectancy between ages 50 and 75: A multicohort study. Int J Obes. 2017;41(5):769–775. doi:10.1038/ijo.2017.29
  2. Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766–781. doi:10.1016/S0140-6736(14)60460-8
  3. Hwang IC, Bae JH, Kim JM, Lee JM, Nguyen QD. Adult body height and age-related macular degeneration in healthy individuals: A nationwide population-based survey from Korea. PLoS One. 2020;15(5):e0232593. doi:10.1371/journal.pone.0232593
  4. Bibbins-Domingo K, Coxson P, Pletcher MJ, Lightwood J, Goldman L. Adolescent overweight and future adult coronary heart disease. N Engl J Med. 2007;357(23):2371–2379. doi:10.1056/NEJMsa073166
  5. Kurth T, Gaziano JM, Berger K, et al. Body mass index and the risk of stroke in men. Arch Intern Med. 2002;162(22):2557–2562. doi:10.1001/archinte.162.22.2557
  6. Nissinen A, Kastarinen M, Tuomilehto J. Community control of hypertension: Experiences from Finland. J Hum Hypertens. 2004;18(8):553–556. doi:10.1038/sj.jhh.1001696
  7. National Institutes of Health. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The evidence report. Obes Res. 1998;6(Suppl 2):51S–209S. PMID:9813653.
  8. Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body mass index and incidence of cancer: A systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371(9612):569–578. doi:10.1016/S0140-6736(08)60269-X
  9. Cheung N, Wong TY. Obesity and eye diseases. Surv Ophthalmol. 2007;52(2):180–195. doi:10.1016/j.survophthal.2006.12.003
  10. Kuang TM. Body mass index and age-related cataract: The Shihpai Eye Study. Arch Ophthalmol. 2005;123(8):1109–1114. doi:10.1001/archopht.123.8.1109
  11. van Leiden HA, Dekker JM, Moll AC, et al. Blood pressure, lipids, and obesity are associated with retinopathy. Diabetes Care. 2002;25(8):1320–1325. doi:10.2337/diacare.25.8.1320
  12. Stapleton F, Alves M, Bunya VY, et al. TFOS DEWS II Epidemiology Report. Ocul Surf. 2017;15(3):334–365. doi:10.1016/j.jtos.2017.05.003
  13. O’Neil EC, Henderson M, Massaro-Giordano M, Bunya VY. Advances in dry eye disease treatment. Curr Opin Ophthalmol. 2019;30(3):166–178. doi:10.1097/ICU.0000000000000569
  14. Miljanović B, Dana R, Sullivan DA, Schaumberg DA. Impact of dry eye syndrome on vision-related quality of life. Am J Ophthalmol. 2007;143(3):409–415.e2. doi:10.1016/j.ajo.2006.11.060
  15. Benítez-del-Castillo J, Labetoulle M, Baudouin C, et al. Visual acuity and quality of life in dry eye disease: Proceedings of the OCEAN Group meeting. Ocul Surf. 2017;15(2):169–178. doi:10.1016/j.jtos.2016.11.003
  16. Bron AJ, de Paiva CS, Chauhan SK, et al. TFOS DEWS II pathophysiology report. Ocul Surf. 2017;15(3):438–510. doi:10.1016/j.jtos.2017.05.011
  17. Aragona P, Giannaccare G, Mencucci R, Rubino P, Cantera E, Rolando M. Modern approach to the treatment of dry eye, a complex multifactorial disease: A P.I.C.A.S.S.O. board review. Br J Ophthalmol. 2021;105(4):446–453. doi:10.1136/bjophthalmol-2019-315747
  18. Okumura Y, Inomata T, Iwata N, et al. A review of dry eye questionnaires: Measuring patient-reported outcomes and health-related quality of life. Diagnostics. 2020;10(8):559. doi:10.3390/diagnostics10080559
  19. Tashbayev B, Utheim TP, Utheim ØA, et al. Utility of tear osmolarity measurement in diagnosis of dry eye disease. Sci Rep. 2020;10(1):5542. doi:10.1038/s41598-020-62583-x
  20. Masmali A, Alrabiah S, Alharbi A, El-Hiti GA, Almubrad T. Investigation of tear osmolarity using the TearLab Osmolarity System in normal adults in Saudi Arabia. Eye Contact Lens. 2014;40(2):74–78. doi:10.1097/ICL.0000000000000002
  21. Lemp MA, Bron AJ, Baudouin C, et al. Tear osmolarity in the diagnosis and management of dry eye disease. Am J Ophthalmol. 2011;151(5):792–798.e1. doi:10.1016/j.ajo.2010.10.032
  22. Yoon D, Gadaria-Rathod N, Oh C, Asbell PA. Precision and accuracy of TearLab osmometer in measuring osmolarity of salt solutions. Curr Eye Res. 2014;39(12):1247–1250. doi:10.3109/02713683.2014.906623
  23. Baenninger PB, Voegeli S, Bachmann LM, et al. Variability of tear osmolarity measurements with a point-of-care system in healthy subjects: Systematic review. Cornea. 2018;37(7):938–945. doi:10.1097/ICO.0000000000001562
  24. Bunya VY, Fuerst NM, Pistilli M, et al. Variability of tear osmolarity in patients with dry eye. JAMA Ophthalmol. 2015;133(6):662–667. doi:10.1001/jamaophthalmol.2015.0429
  25. Shimazaki J, Sakata M, Den S, Iwasaki M, Toda I. Tear film osmolarity measurement in Japanese dry eye patients using a handheld osmolarity system. Diagnostics. 2020;10(10):789. doi:10.3390/diagnostics10100789
  26. Althumiri NA, Basyouni MH, AlMousa N, et al. Obesity in Saudi Arabia in 2020: Prevalence, distribution, and its current association with various health conditions. Healthcare. 2021;9(3):311. doi:10.3390/healthcare9030311
  27. Zierle-Ghosh A, Jan A. Physiology, body mass index. In: StatPearls. Treasure Island, USA: StatPearls Publishing; 2022. http://www.ncbi.nlm.nih.gov/books/NBK535456/. Accessed November 17, 2022.
  28. Schiffman RM. Reliability and validity of the Ocular Surface Disease Index. Arch Ophthalmol. 2000;118(5):615–621. doi:10.1001/archopht.118.5.615
  29. Willcox MDP, Argüeso P, Georgiev GA, et al. TFOS DEWS II Tear Film Report. Ocul Surf. 2017;15(3):366–403. doi:10.1016/j.jtos.2017.03.006
  30. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, USA: L. Erlbaum Associates; 1988. ISBN:978-0-8058-0283-2.
  31. Malik VS, Ravindra K, Attri SV, Bhadada SK, Singh M. Higher body mass index is an important risk factor in COVID-19 patients: A systematic review and meta-analysis. Environ Sci Pollut Res. 2020;27(33):42115–42123. doi:10.1007/s11356-020-10132-4
  32. Bhaskaran K, dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: A population-based cohort study of 3.6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6(12):944–953. doi:10.1016/S2213-8587(18)30288-2
  33. Huttunen R, Karppelin M, Syrjänen J. Obesity and nosocomial infections. J Hosp Infect. 2013;85(1):8–16. doi:10.1016/j.jhin.2013.06.012
  34. Kassir R. Risk of COVID‐19 for patients with obesity. Obes Rev. 2020;21(6):e13034. doi:10.1111/obr.13034
  35. Alanazi SA. Assessment of tear film in subjects with a high body mass index. Clin Otom (Auckl). 2019;11:77–84. doi:10.2147/OPTO.S218109
  36. Ho KC, Jalbert I, Watt K, Golebiowski B. A possible association between dry eye symptoms and body fat: A prospective, cross-sectional preliminary study. Eye Contact Lens. 2017;43(4):245–252. doi:10.1097/ICL.0000000000000275
  37. Yamanishi R, Sawada N, Hanyuda A, et al. Relation between body mass index and dry eye disease: The Japan Public Health Center–Based Prospective Study for the Next Generation. Eye Contact Lens. 2021;47(8):449–455. doi:10.1097/ICL.0000000000000814
  38. Beis PG, Brozou CG, Gourgoulianis KI, Pastaka C, Chatzoulis DZ, Tsironi EE. The floppy eyelid syndrome: Evaluating lid laxity and its correlation to sleep apnea syndrome and body mass index. ISRN Ophthalmol. 2012;2012:650892. doi:10.5402/2012/650892
  39. Fagehi R, El-Hiti GA, Almojalli A, et al. Assessment of tear film parameters in smokers and subjects with a high body mass index. Optom Vis Sci. 2022;99(4):358–362. doi:10.1097/OPX.0000000000001891
  40. Abusharha A, El-Hiti GA, Alsubaie MH, et al. Evaluation of tear evaporation rate in patients with diabetes using a hand-held evaporimeter. Healthcare. 2022;10(1):104. doi:10.3390/healthcare10010104
  41. Fagehi R, El-Hiti GA, Alsubaie MH, et al. Measurements of tear evaporation rate in subjects with refractive errors using a portable evaporimeter. Healthcare. 2022;10(2):405. doi:10.3390/healthcare10020405
  42. Craig JP, Nichols KK, Akpek EK, et al. TFOS DEWS II Definition and Classification Report. Ocul Surf. 2017;15(3):276–283. doi:10.1016/j.jtos.2017.05.008
  43. Fagehi R, Alanazi MA, Abdualkarim W, et al. Correlation between tear osmolarity measurements using TearLab and I-Pen osmolarity systems in normal young Saudi subjects. EC Ophthalmol. 2021;12(2):40–46. https://www.ecronicon.com/ecop/pdf/ECOP-12-00737.pdf. Accessed January 15, 2022.
  44. Glasson MJ, Stapleton F, Keay L, Sweeney D, Willcox MDP. Differences in clinical parameters and tear film of tolerant and intolerant contact lens wearers. Invest Ophthalmol Vis Sci. 2003;44(12):5116–5124. doi:10.1167/iovs.03-0685
  45. Rocha G, Gulliver E, Borovik A, Chan C. Randomized, masked, in vitro comparison of three commercially available tear film osmometers. Clin Ophthalmol. 2017;11:243–248. doi:10.2147/OPTH.S127035
  46. Nolfi J, Caffery B. Randomized comparison of in vivo performance of two point-of-care tear film osmometers. Clin Ophthalmol. 2017;11:945–950. doi:10.2147/OPTH.S135068
  47. Food and Drug Administration (FDA). K083184, TearLab Osmolarity System. Silver Spring, USA: Food and Drug Administration (FDA); 2009. https://www.accessdata.fda.gov/cdrh_docs/pdf8/k083184.pdf.
  48. Calles B, Calles UM. Temperature correction of electrical conductivity values. Earth Surf Process Landforms. 1990;15(7):673–678. doi:10.1002/esp.3290150708
  49. Gokhale M, Stahl U, Jalbert I. In situ osmometry: Validation and effect of sample collection technique. Optom Vis Sci. 2013;90(4):359–365. doi:10.1097/OPX.0b013e31828aaf10
  50. Fagehi R, Al-Bishry A, Alanazi M, Abusharha A, El-Hiti G, Masmali A. Investigation of the repeatability of tear osmolarity using an I-PEN osmolarity device. Taiwan J Ophthalmol. 2021;11(2):168–174. doi:10.4103/tjo.tjo_65_20