Alyaa Abood Kereem1, Imad Salih Mehdy2*, Hayder Sabah AL-Rubaye3
1Professor Ophthalmologist at Kufa University, Faculty of Medicine, Iraq
2Ophthalmologist, Imam AL-Hussain Medical City, Iraq
3Ophthalmologist, Ibn-AL-Haithem Teaching Hospital, Iraq
*Corresponding Author: Imad Salih Mehdy, Ophthalmologist, Imam AL-Hussain Medical City, Iraq;
Email: [email protected]
Published Date: 10-05-2021
Copyright© 2021 by Mehdy IS, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Pterygium considered as a common inflammatory and proliferative growth that extends across the limbus and can invade the cornea. It had been found that a long standing Pterygium can be associated with the changes in corneal endothelial layer.
Subjects and method: In our study an eighty-one patients (162 eyes) with unilateral pterygium were randomly taken and consecutively enrolled at the out- patient clinic in Ibn Al-Hiatham Eye Teaching Hospital, using specular microscope, the endothelial density, hexagonality and coefficient of variation in cell area were measured for both eyes, using the results of normal eyes for comparison.
Results: This study showed a significant decrease in means of endothelial cell density and % of hexagonal cells in affected eyes versus healthy eyes (P0.05), mean of endothelial cell density 2385.8 ± 220.74 versus 2487.9 ± 208.2 ( P-value= 0.003 ) , mean of % of hexagonality 46.92 ± 9.16 versus 53.30 ± 8.64 ( P < 0.001). The study showed no significant difference in coefficient of variation of affected eyes versus healthy eyes, 34.86 ± 5.06 versus 35.15 ± 5.50 (P =0.174).There were significant differences between means of coefficient of variation by size of pterygium. Type I 32.34 ± 3.32, Type II 34.09 ± 4.58, type III 38.47 ± 5.65 (P0.002). There was significant negative linear correlation between endothelial cell density and duration of pterygium among affected eyes.
Conclusion: The long standing pterygia can be associated with reduction in endothelial cell density. This reduction is markedly apparent with the increase in size and duration of pterygium.
Keywords
UV-B (Ultraviolet Light); CoV (Coefficient of Variation); ECD (Endothelial Cell Density)
Introduction
Cornea is the transparent front part of the eye that covers the iris, pupil, and anterior chamber. A single hexagonal endothelial corneal layer plays a pivotal role in keeping the corneal clarity, transparency and deturgescence throughout life by constant pumping excess fluid out of the stroma [1]. This lining monolayer of corneal endothelium is emberyologically derived from neural crest [2].
This corneal endothelial layer does not continue for life, so if any damage occurred to these cells, they will not be substituted by cell proliferation, instead of that the damaged cells and the defect area will be replaced and covered by enlargement and spread of adjacent endothelial cells resulting in reduction in Endothelial Cell Density (ECD) [3-5].
The endothelial cells integrity and function are influenced by many factors which can be intrinsic factors like genetics, race, age, or extrinsic factors like inflammation, infection, intraocular surgery, trauma, contact lens etc [3-9]. Also there is a variation in ECD in different areas of endothelial cells, it is highest in periphery, also central ECD is decreasing with age by rate of 0.6%/year, thus, the ECD of 3400 cells by age 15 will decline to 2300 cells/mm2 by age of 85 year [9].
Race and geographical distribution might influence the ECD, the density in gender and matched people is more in Japanese than in Americans [10,11]. ECD of 400-600 cells/mm2 is considered critical end point at which endothelial decompensation will start, so in clinical practice measurement of ECD is important for determining the reserve of endothelial function in individual patients [12-14].
It had been found that in healthy endothelial layer about 60% of cells are hexagonal in shape (by using scanning electronic micrograph), thus hexagonal description to healthy layer of human endothelium though widely used is not precise and accurate description of endothelial cells shape. When there is decrease in number of six-sided cells with relative to increase of cells with more or fewer than six sides the condition is termed pleomorphism.
For example when endothelial cells die because of aging or exposure to stress (contact lens) trauma, surgery or other eye diseases then the remaining cells cannot divide to substitute the dyed cells, instead they are going to enlarge and spread to cover the defect area in order to maintain intact monolayer of corneal endothelial layer. Not all endothelial cells enlarge in same extent; therefore, some of cells become larger than other. This difference in shape and size of endothelial layer is best calculated by Coefficient of Variation (CoV), which is calculated as the standard deviation of mean cell area divided by the mean cell area. The increase in CoV is called polymegathism.
The corneal endothelial cells morphology and count can be recorded, studied and measured by non-invasive method using specular microscope, which is of two types contact and non-contact type or by con focal microscope [15,16].
The radiograph captured by specular microscope in young adult should show single endothelial hexagonal cells with approximately identical size and shape [15,16]. Analysis of captured image of specular microscope should include corneal cell density which measured as cells/mm2, cell size (area) mean cell area measured as µm2/cell, variation of cell size as Coefficient of Variation (CoV) (standard deviation of cell areas/mean cell area) and hexagonality (shape pleomorphism) usually measured as a percentage of 6-sided cells.
Pterygium is a common ocular disorder, described as an elevated superficial triangular wing like fibro-vascular growth of conjunctiva onto cornea toward corneal limbus. Studies showed that about ninety percent of pterygia occur at nasal side. Both nasal and temporal pterygia can occur simultaneously in the same eye, but temporal pterygium rarely occurs alone. It has a world-wide distribution, with a prevalence that varies from 0.3 to 29%, but it is more prevalent in countries in area that named by Cameron as pterygium belt [17]. Pterygium aetiology remains exactly uncertain. Many studies proposed many risk factors for the aetiology of pterygium, like: age, race, geographical distribution, out-door occupation due to chronic ultraviolet light exposure (UV-B), dust etc [18-20].
Pterygium-related decrease in ECD might be added to the list of indications for surgical treatment of pterygium [21].
Many theories attempting to disclose the pathological changes seen in pterygium. The main theory suggested that increasing prevalence of pterygium among countries near equatorial areas because of the effect of ultraviolet radiation mainly UV-B is definite risk factor in aetiology of pterygium. Exposure to this radiation as in out-door working causing mutation to gene, p53, tumour suppressing gene which results in abnormal epithelium of pterygium [20]. The prevalence of pterygium increases with age and it is uncommon or even rare in people younger than 20 years old, where the frequency and even severity of disorder significantly reduced [20]. (The world-who described what is called “pterygium belt” which occur between latitudes 370 north and south of the equator. The prevalence is highest in countries occurring in this belt).
Evident-based studies suggest that that human papilloma virus plays a role in pathology of pterygium. These studies declare that pterygium is not as simple degenerative processes but it is rather an uncontrolled proliferation. Metalloproteinase enzyme and tissue inhibitor of metalloproteinase enzyme might play a role in inflammatory processes, tissue destruction of Bowman layer and pterygium invasion of cornea. Other said that the pterygium represents a localized area of limbal stem cells deficiency on surface of cornea, which results in conjunctival invasion into cornea [22,23]
In the early stage of the disease, the pterygium is small and asymptomatic, but when it prone to recurrent inflammation and itching then a conservative treatment is required in form of filter eyeglasses against UV radiation and lubricant eye drop. Surgery indicated when visually significant induced astigmatism, encroachment of lesion on visual axis, recurrent significant degree of inflammation and irritation and for cosmoses (when it is large it causes a cosmetic problems on appearance) [24-26].
Objectives of the Study:
Our purpose in this prospective study is to show the correlation between pterygium and reduction in endothelial cell count, and to calculate the correlation of pterygium and hexagonality, percentage and coefficient of variation, in eyes with unilateral pterygia and the results compared with that of normal eyes, the results are mentioned below (Table 1-5 and Fig. 1-3).
Results
Socio-demographic variables | ||
Age (years) | (51.74 ± 13.06) | (16-76) |
Gender | ||
Male | 45 | 55.60% |
Female | 36 | 44.40% |
Total | 81 | 100.00% |
Occupation | ||
House wife | 32 | 39.50% |
Out-door work | 23 | 28.40% |
Employee | 22 | 27.20% |
Retired | 3 | 3.70% |
Student | 1 | 1.20% |
Total | 81 | 100.00% |
Smoking | ||
Smoker | 24 | 29.60% |
Non smoker | 53 | 65.40% |
Ex – smoker | 4 | 5% |
Total | 81 | 100.00% |
Table 1: Shows distribution of patients according to socio-demographic characteristics including (age, gender, occupation and smoking habit). Mean age was (51.74 ± 13.06) and majority of patients (55.6%) were males.
Figure 1: Shows the distribution of patients according to pterygium size. Majority (70.4%) of patients presented with type 2 (2-4 mm).
Figure 2: Shows the distribution of patients according to pterygium side. About (51.8%) of patients presented with right eye pterygium.
t-test | Z | Variable | Type of Eye | N | Mean ± SD | P-value |
-3.028 |
| ECD (cell/ mm2) | Affected | 81 | 2385.8 ± 220.74 | 0.003 |
Healthy | 81 | 2487.9 ± 208.2 | ||||
-4.561 |
| Hexa (%) | Affected | 81 | 46.92 ± 9.16 | < 0.001 |
Healthy | 81 | 53.30 ± 8.64 | ||||
| -2.029 | CoV (%) | Affected | 81 | 34.86 ± 5.06 | 0.174 |
| Healthy | 81 | 35.15 ± 5.50 | |||
*p value ≤ 0.05 was significant. |
Table 2: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by type of eye. There were significant differences between means of ECD and Hexagonality by type of eye.
Variable | Size of Pterygium | N | Mean ± SD | F-test | P-value |
ECD (cell/ mm2)
| Type 1 | 7 | 2455.6 ± 240.0 | 1.366
| 0.261
|
Type 2 | 57 | 2398.7 ± 216.8 | |||
Type 3 | 17 | 2313.7 ± 221.9 | |||
Hexa (%)
| Type 1 | 7 | 48.85 ± 6.96 | 0.563
| 0.572
|
Type 2 | 57 | 47.26 ± 9.38 | |||
Type 3 | 17 | 45.00 ± 9.35 | |||
CoV (%)
| Type 1 | 7 | 32.34 ± 3.32 | 6.645
| 0.002
|
Type 2 | 57 | 34.09 ± 4.58 | |||
Type 3 | 17 | 38.47 ± 5.65 | |||
*p value ≤ 0.05 was significant. |
Table 3: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by size of pterygium. There were significant differences between means of CoV by size of pterygium.
Study Variables | N | Mean±SD | r | P-value |
ECD | 81 | 2385.8 ± 220.74 | -0.381
| < 0.001
|
Duration | 81 | 10.19 ± 4.66 | ||
HEXA | 81 | 46.92 ± 9.16 | -0.135
| 0.23
|
Duration | 81 | 10.19 ± 4.66 | ||
CoV | 81 | 34.86 ± 5.06 | 0.152
| 0.175
|
Duration | 81 | 10.19 ± 4.66 | ||
*p value ≤ 0.05 was significant. |
Table 4: Shows the correlation between study variables and duration of pterygium for affected eye. There was significant negative linear correlation between ECD and duration of pterygium among affected eye.
Figure 3: Shows the correlation between ECD and duration of pterygium for affected eye. There was significant negative linear correlation between ECD and duration of pterygium among affected eye. (r= – 0.381, p=<0.001).
Variable | Age groups | N | Mean ± SD | t-test | P-value |
ECD (cell/ mm2)
| 50 or less | 35 | 2445.01 ± 228.71 | 2.153
| 0.034
|
More than 50 | 46 | 2340.7 ± 205.68 | |||
Hexa (%)
| 50 or less | 35 | 49.34 ± 7.78 | 2.115
| 0.038
|
More than 50 | 46 | 45.08 ± 9.77 | |||
CoV (%)
| 50 or less | 35 | 34.73 ± 5.33 | -0.204
| 0.839
|
More than 50 | 46 | 34.96 ± 4.91 | |||
*p value ≤ 0.05 was significant. |
Table 5: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by age. There were significant differences between means of ECD and Hexagonality by age.
Discussion
Measuring the endothelial cell is an integral part and an accepted practice providing clinical information on endothelial corneal cell layer, which is required to keep the corneal viability, transparency and vital parameter before eye surgery like cataract surgery [27].
Because of the presence of differences in endothelial parameters in many races, the presence of mean normative data on the corneal endothelial parameters is essential. In this respect the data collected may help in the evaluation of the functional endothelial reserve of individuals and may even help in understanding corneal disease in people of different genders, ages, and ethnic groups.
This study provides data on endothelial cell characteristics in the eye with pterygium in comparison to contra lateral normal eye (Table 2).
Unfortunately only few articles paid attention to corneal cell density and other variables in eyes with pterygia to compare with.
Eighty one patients were included in this study (162 eyes) of them 45 were males and 36 were females (this discrepancy might be explained by the fact that the Iraqi female especially in urban area has less out- door UV exposures) .
The patients ages ranging from 16 to76 years with average age of 51.7 years this average is less in comparison to average age (68 years)
In the current study, most of patients were out-door employment and housekeepers living in hot dry climate and might have a significant history of UV-B exposure (Table 1).
This study showed significance negative correlation between age and ECD (Table 5). The endothelial monolayer of cells lining the cornea is non- reproducible after cells damage. Thus, it declines with a rate of 0.6% /year, 2300 cells/mm2 at age 85 years. The results of this study consistent with many studies, which showed reduction of ECD with aging.
The mean of ECD in normal eyes was2487.9 ±208.2 cells per square millimetre whereas; in affected eyes, it was 2385.8 ± 220.74 cells per square millimetre (Table 2 ). This reduction in ECD in eye with pterygium in comparison to control eye is in consistence with the findings of other studies by Min-Yen Hsu, et al., 2014 and V Vinod Mootha, et al., 2004 [21,22].
In the current study, there was no significant difference in CoV in eyes with pterygium in comparison to control eyes (Table 2), this finding was consistence with the study of Min-Yen Hsu, et al., 2014 [22]. Thus, the study was not showing an increase in the variation of cell sizes.
In regards to the size of pterygium, there was a negative correlation between ECD and the size of pterygium (Table 3) but not to a significant degree that was seen in Min-Yen Hsu, et al., 2014 study [22].
The current study showed a negative correlation between ECD and duration of pterygium lesion in affected eyes (Table 4) , although this consistent with V Vinod Mootha, et al., 2004 study, but V Vinod Mootha, et al., speculated that the pterygium must be a long-standing one (about 40 years) in order to influence the ECD [21]. These findings can be explained by fact that the more increasing in size of long standing and advancing pterygia with prolonged exposure to UV-B radiation result in activation of matrix metalloproteinase enzymes leading to more invasion of pterygium into cornea [23, 28-38].
The strength of the study is that it compares normal and diseased eyes in the same individual, thus eliminating the bias of other confounders (Table 2).
Conclusion
- The eye with pterygium showed significant decrease in ECD in comparison to normal healthy eye.
- The eyes with pterygium showed significant reduction in hexagonality percentage in comparison with normal healthy eyes.
- There was significant negative linear correlation between ECD and duration of pterygium among affected eye.
- There was negative relationship between ECD and the size of pterygium.
Recommendation
- Measurement of ECD should be obtained for any eye with pterygium especially before corneal or refractive surgery.
- Arrange training courses in measurements of ECD.
- The specular microscope should be available in ophthalmic outpatient department.
- Further studies with large cohort should be planned.
Limitations of Study
The study was limited by:
- Small sample size.
- Difficulties in reporting the occupation and precise time of ultraviolet exposure.
- There was just one specular microscope in the hospital of study thus; the access to this microscope was limited in many times.
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Article Type
Research Article
Publication History
Received Date: 13-04-2021
Accepted Date: 04-05-2021
Published Date: 10-05-2021
Copyright© 2021 by Mehdy IS, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Mehdy IS, et al. The Effects of Primary Pterygium on Corneal Endothelial Cells Density in Iraqi Eyes. J Ophthalmol Adv Res. 2021;2(2):1-11.
Figure 1: Shows the distribution of patients according to pterygium size. Majority (70.4%) of patients presented with type 2 (2-4 mm).
Figure 2: Shows the distribution of patients according to pterygium side. About (51.8%) of patients presented with right eye pterygium.
Figure 3: Shows the correlation between ECD and duration of pterygium for affected eye. There was significant negative linear correlation between ECD and duration of pterygium among affected eye. (r= – 0.381, p=<0.001)
Socio-demographic variables | ||
Age (years) | (51.74 ± 13.06) | (16-76) |
Gender | ||
Male | 45 | 55.60% |
Female | 36 | 44.40% |
Total | 81 | 100.00% |
Occupation | ||
House wife | 32 | 39.50% |
Out-door work | 23 | 28.40% |
Employee | 22 | 27.20% |
Retired | 3 | 3.70% |
Student | 1 | 1.20% |
Total | 81 | 100.00% |
Smoking | ||
Smoker | 24 | 29.60% |
Non smoker | 53 | 65.40% |
Ex – smoker | 4 | 5% |
Total | 81 | 100.00% |
Table 1: Shows distribution of patients according to socio-demographic characteristics including (age, gender, occupation and smoking habit). Mean age was (51.74 ± 13.06) and majority of patients (55.6%) were males.
t-test | Z | Variable | Type of Eye | N | Mean ± SD | P-value |
-3.028 |
| ECD (cell/ mm2) | Affected | 81 | 2385.8 ± 220.74 | 0.003 |
Healthy | 81 | 2487.9 ± 208.2 | ||||
-4.561 |
| Hexa (%) | Affected | 81 | 46.92 ± 9.16 | < 0.001 |
Healthy | 81 | 53.30 ± 8.64 | ||||
| -2.029 | CoV (%) | Affected | 81 | 34.86 ± 5.06 | 0.174 |
| Healthy | 81 | 35.15 ± 5.50 | |||
*p value ≤ 0.05 was significant. |
Table 2: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by type of eye. There were significant differences between means of ECD and Hexagonality by type of eye.
Variable | Size of Pterygium | N | Mean ± SD | F-test | P-value |
ECD (cell/ mm2)
| Type 1 | 7 | 2455.6 ± 240.0 | 1.366
| 0.261
|
Type 2 | 57 | 2398.7 ± 216.8 | |||
Type 3 | 17 | 2313.7 ± 221.9 | |||
Hexa (%)
| Type 1 | 7 | 48.85 ± 6.96 | 0.563
| 0.572
|
Type 2 | 57 | 47.26 ± 9.38 | |||
Type 3 | 17 | 45.00 ± 9.35 | |||
CoV (%)
| Type 1 | 7 | 32.34 ± 3.32 | 6.645
| 0.002
|
Type 2 | 57 | 34.09 ± 4.58 | |||
Type 3 | 17 | 38.47 ± 5.65 | |||
*p value ≤ 0.05 was significant. |
Table 3: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by size of pterygium. There were significant differences between means of CoV by size of pterygium.
Study Variables | N | Mean±SD | r | P-value |
ECD | 81 | 2385.8 ± 220.74 | -0.381
| < 0.001
|
Duration | 81 | 10.19 ± 4.66 | ||
HEXA | 81 | 46.92 ± 9.16 | -0.135
| 0.23
|
Duration | 81 | 10.19 ± 4.66 | ||
CoV | 81 | 34.86 ± 5.06 | 0.152
| 0.175
|
Duration | 81 | 10.19 ± 4.66 | ||
*p value ≤ 0.05 was significant. |
Table 4: Shows the correlation between study variables and duration of pterygium for affected eye. There was significant negative linear correlation between ECD and duration of pterygium among affected eye.
Variable | Age groups | N | Mean ± SD | t-test | P-value |
ECD (cell/ mm2)
| 50 or less | 35 | 2445.01 ± 228.71 | 2.153
| 0.034
|
More than 50 | 46 | 2340.7 ± 205.68 | |||
Hexa (%)
| 50 or less | 35 | 49.34 ± 7.78 | 2.115
| 0.038
|
More than 50 | 46 | 45.08 ± 9.77 | |||
CoV (%)
| 50 or less | 35 | 34.73 ± 5.33 | -0.204
| 0.839
|
More than 50 | 46 | 34.96 ± 4.91 | |||
*p value ≤ 0.05 was significant. |
Table 5: Shows mean differences of study variables including (ECD, Hexagonality and CoV) by age. There were significant differences between means of ECD and Hexagonality by age.