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. 2008 Mar;2(1):147–151.

Corneal endothelial cell density and morphology in Phramongkutklao Hospital

Narumon Sopapornamorn 1,, Manapon Lekskul 1, Suthee Panichkul 2
PMCID: PMC2698679  PMID: 19668398

Abstract

Objective

To describe the corneal endothelial density and morphology in patients of Phramongkutklao Hospital and the relationship between endothelial cell parameters and other factors.

Methods

Four hundred and four eyes of 202 volunteers were included. Noncontact specular microscopy was performed after taking a history and testing the visual acuity, intraocular pressure measurement, Schirmer’s test and routine eye examination by slit lamp microscope. The studied parameters included mean endothelial cell density (MCD), coefficient of variation (CV), and percentage of hexagonality.

Results

The mean age of volunteers was 45.73 years; the range being 20 to 80 years old. Their MCD (SD), mean percentage of CV (SD) and mean (SD) percentage of hexagonality were 2623.49(325) cell/mm2, 39.43(8.23)% and 51.50(10.99)%, respectively. Statistically, MCD decreased significantly with age (p < 0.01). There was a significant difference in the percentage of CV between genders. There was no statistical significance between parameters and other factors.

Conclusion

The normative data of the corneal endothelium of Thai eyes indicated that, statistically, MCD decreased significantly with age. Previous studies have reported no difference in MCD, percentage of CV, and percentage of hexagonality between gender. Nevertheless, significantly different percentages of CV between genders were presented in this study.

Keywords: Corneal endothelial cell, parameters, age, gender, smoking, Thailand

Background

The cornea contains 5 layers. In the deepest layer, monolayer of corneal endothelial cell covers the posterior surface of descemet’s membrane. Corneal endothelium is metabolically active (Na+ – K+ pump) and responsible for keeping the corneal stroma in its usual hydrated state of 70% water to prevent stromal edema (Krik 2005).

Nowadays specular microscope has made the in vivo evaluation of endothelium possible. It measures mean cell density (MCD), cell size variations (percentage of coefficient of variation [CV], polymegathism), and cell shape (polymorphism). The specular microscope has been used to establish and compare normative data for endothelium parameters among ethnic groups, as well as gender and age.

Due to the difference in endothelial parameters among various populations (Matsuda et al 1985; Rao et al 2000; Snellingen et al 2001; Kitagawa et al 2002; Padilla et al 2004; Hashemian et al 2006; Zoega et al 2006) the study of normative data of each population is important. This study described the endothelial cell density and morphology of normal Thai eyes in relation to age, gender, and some risk factors such as smoking, underlying disease, intraocular pressure (IOP), and Schirmer’s test.

Materials and methods

The study population comprised 216 volunteers randomly selected from the visitors, outpatients, and staff of Phramongkutklao Hospital. Sample size was calculated using a minimum exceptional error (10%) of SD from normal Indian cell density data (Rao et al 2000).

Subjects were submitted to medical history examination and excluded from the study if they presented history of intraocular surgery or ocular trauma, corneal opacity, glaucoma, dry eye, inflammatory eye disease like uveitis, diabetes mellitus, use of contact lens, and family history of corneal decompensation. Additionally, to investigate the unknown effect of underlying diseases (such as hypertension, allergy, etc) and eye drugs (such as antihistamine) on corneal endothelium, such underlying diseases and eye drugs were included in the present study. According to the exclusion criteria, 14 volunteers were excluded. A total of 404 eyes from 202 volunteers (aged 20 to 80 years) were examined. All the subjects enrolled in this study originated from Thailand. Their national ID card and hospital record presented their Thai race and Thai nationality. Subjects enrolled in the study signed an informed consent form, and this study was approved by the Ethical Committee for Human Research, Phramongkutklao Hospital.

After taking a patient history, which included age, gender, smoking, underlying disease, and use of eye drop drugs, visual acuity measurement by Snellen chart, noncontact ocular tension measurement, modified Schirmer’s test 1 in 5 minutes, and slit-lamp biomicroscopy examination were examined. All volunteers underwent specular microscopy using a noncontact specular microscopy (SP2000: Topcon corporation, Japan). A single examiner performed all of the measurements. Corneal endothelial cell analysis was performed as follows: images from central cornea were taken of at least 50 contiguous cells and were manually marked with a mouse by the examiner for analysis by a built-in software program.

Statistical analysis

For statistical analysis, the SPSS program (version 11.5) was used. Baseline characteristics were calculated by descriptive statistics (eg, mean and standard deviation) and compared by using unpaired t-test for parametric data. Correlation between factors (age, gender, smoking, underlying disease, eye drop drug use, intraocular pressure, and Schirmer’s test) and MCD, percentage of CV and percentage of hexagonality were calculated by Pearson correlation.

In studies of the corneal endothelial cell morphology, which could be affected by multiple factors, the multiple regression analysis was used. p-value less than 0.05 were considered as the significance.

Results

Characteristics of the subjects were shown in Table 1. 202 patients with a mean (SD) age of 45.73 (16.12) years old participated. Ninety patients (44.6%) were male and one hundred and twelve patients (55.4%) were female. The most visual acuity was 20/20 (36.6%) and visual acuity range was 20/20 to light perception. Mean (SD) intraocular pressure was 13.76 (3.17) mmHg. Mean (SD) Schirmer’s test was 8.09 (6.13) mm.

Table 1.

Characteristics of the subjects

General data No. (%)
Gender
 Male 90(44.6)
 Female 112(55.4)
Age (Year: mean ± SD) 45.73 ± 16.12
Underlying disease
 Yes 48(23.8)
 No 154(76.2)
Eye drop drug use
 Yes 15(7.4)
 No 187(92.6)
Smoking
 Yes 38(81.8)
 No 164(18.8)
Number of smoking (pack/day) (mean ± SD) 10.61 ± 7.87
Smoking duration (Year: mean ± SD) 15.53 ± 12.59
Now stop smoking
 Yes 23(60.53)
 No 15(39.47)
Duration of stop smoking (year) 10.57 ± 10.79
Visual acuity (uncorrected)
 20/20 – 20/50 183(90.6)
 20/70 – PL 19(9.4)
Mean intraocular pressure 13.76 ± 3.17 mmHg
Mean Schirmer’s test 8.09 ± 6.13 mm

Table 2 describes the total data of corneal endothelial cell density and morphology and the characteristics of the studied population in gender difference. Their MCD (SD), mean percentage of CV (SD) and mean (SD) percentage of hexagonality were 2623.49(325) cell/mm2, 39.43(8.23)% and 51.50(10.99)%, respectively.

Table 2.

Endothelial cell characteristics of the study population in different gender

Male Female p-valuea Total
No. of eyes 180 224 404
Age (year) 41.73 ± 18.21 48.94 ± 13.46 0.002 45.73 ± 16.12
Cell density (cells/mm2) 2679.98 ± 361.89 2578.10 ± 284.93 0.002 2623.49 ± 325.06
Cell size variability (%) 37.94 ± 7.13 40.62 ± 8.86 0.001 39.43 ± 8.23
Hexagonality 53.77 ± 10.69 49.68 ± 10.92 <0.001 51.50 ± 10.99
a

Notes: Unpaired t-test.

Results of mean MCD, mean percentage of CV and mean percentage of hexagonality in different age groups are listed in Table 3. MCD was statistically significantly decreased in relation to increasing age (p < 0.01) (Figure 1).

Table 3.

Endothelial cell characteristics of the study population in different age groups

Age group (years) No. of eyes Cell density (cells/mm2)a Cell size variability (%)a Hexagonalitya
20–30 94 2799.02 ± 260.44 38.88 ± 6.88 54.41 ± 11.57
31–40 50 2744.60 ± 236.85 38.73 ± 8.52 50.86 ± 9.11
41–50 104 2642.66 ± 304.55 39.61 ± 7.97 50.02 ± 10.85
51–60 78 2553.12 ± 266.88 40.19 ± 7.26 49.84 ± 11.48
over 61 year 78 2379.00 ± 356.30 39.53 ± 10.59 52.04 ± 10.59
a

Notes: Mean ± SD.

Figure 1.

Figure 1

Correlation between MCD and age.

The correlation between parameters and others factors (Table 4) are shown: the p-value of each factor related with MCD, percentage of CV, and percentage of hexagonality. There were significant correlations between age and MCD, and between age and percentage of hexagonality. Gender showed a significant correlation in MCD, percentage of CV and percentage of hexagonality. Moreover, there is a significant correlation between Schirmer’s test and percentage of hexagonality. However, no significant correlations between parameters and other factors such as intraocular pressure, smoking, underlying disease, and eye drop drug use were shown in this study.

Table 4.

Correlation between parameters and other factors

Factors MCD %CV Hexagonality
Age 0.000 0.310 0.022
Gender 0.002 0.001 0.000
Smoking 0.759 0.972 0.875
Underlying disease 0.931 0.825 0.437
Long term eye drug use 0.213 0.227 0.507
IOP 0.881 0.510 0.825
Schirmer’s test 0.079 0.127 0.012

Abbreviations: MCD, mean endothelial cell density; CV, coefficient of variation; IOP, intraocular pressure.

Notes: p-value < 0.05.

The multiple regression analysis between parameters and univariate significant factors are showed in Table 5. However, there is statistical significance only between age and MCD, age and percentage of hexagonality, and gender and percentage of CV.

Table 5.

Multiple regression analysis between parameters and univariated significant factors

B E(B) t p-value 95% CI
MCD
constant 3051.939 50.689 <0.001 2933.209, 3170668
 age −8.959 −0.458 −7.125 <0.001 −11.438, −6.479
 gender −26.593 −0.042 −0.654 0.514 −106.796, 53.610
CV
constant 37.936 62.404 <0.001 36.741, 39.131
 gender 2.687 0.162 3.295 0.001 1.084, 4.290
HEXA
constant 55.187 19.138 <0.001 49.501, 60.874
 age −0.085 0.050 −1.715 0.088 −0.184, 0.013
 gender −2.370 −0.106 −1.439 0.152 −5.619, 0.878
 Schirmer’s test 0.152 0.076 1.047 0.296 −0.134, 0.439

Discussion

Endothelial cell analysis is important for corneal function and viability assessment. The clinical uses include the assessment of donor corneal endothelium, the effects of intraocular surgery and the essential in evaluating the safety of the first time intraocular or corneal surgical procedures and intraocular lens.

Many studies have been published on endothelial cell density and morphology in relation to age, gender, and ethnicity. Although it is clear that significant differences in corneal endothelial properties do exist among races and ethnic groups, normative data that is derived from the underlying population of each country is still necessary. This study reports endothelial cell data in Thai population.

Noncontact specular microscopy is used in many studies. Image capturing of the endothelium cells and calculation of cornea endothelial cells by a unique method does not require touching the cornea. This patented procedure eliminates the risk of transmitted infectious diseases and reduces potential physical injury to the eye. The disadvantage of this method is less control over patient eye movement.

The endothelium has been reported with confocal microscopy. Comparison of endothelial cell count density using confocal and contact specular microscopy was studied by Klais and colleagues (2003), no statistically significant difference of endothelial cell density between confocal and specular microscopy.

In our study, the endothelial cell parameters were within normal range. The results have shown that with increasing age, MCD and % CV tended to decrease. There were conflicting reports about the relationship between gender and endothelial cell characteristics. Many studies have not found any statistical differences between them (Laing et al 1976; Hirst et al 1980; Matsuda et al 1985; Landesz et al 1995; AAO 1997; Hashemian et al 2006) as our data showed no differences between MCD, hexagonality, and gender. However we have found that females have a higher percentage of CV than males. As it was only one significant parameter, we could not assume that the female quality of corneal endothelium was less than that of males.

We did not find that smoking, underlying disease, eye drop drug usage, IOP, and Schirmer’s test affected the corneal endothelium. Zoega and colleagues (2006) had studied the risk factors for cornea guttata and found that smoking more than 20 pack-years increased the risk of developing corneal guttata more than 2-fold but our study did not find correlation between them. This could be for two reasons. Firstly, there was no real significance. Secondly, our number of pack-years was less than the previous study so we did not find the difference.

While we collected the data, we found abnormal endothelial parameters like Fuchs’ dystrophy. A 50 year old female had been examined. Her right eye had MCD 1564.8 cell/mm2, CV 75.3%, and hexagonality 26%. Her left eye had MCD 1836.6 cell/mm2, CV 56.9%, and hexagonality 40%. The incidence of abnormal endothelial cell was calculated about 1:202 (0.5%).

We compared MCD with the previous studies and found the difference (Table 6). In our study, MCD was similar to the Indian population (Rao et al 2000) but less than the Japanese and American populations (Matsuda et al 1985).

Table 6.

Comparison of endothelial cell density

Age group (Years) Phramongkutklao Hospital
India
Japan
America
No. of eyes MCD (cell/mm2)a No. of eyes MCD (cell/mm2)a No. of eyes MCD (cell/mm2)a No. of eyes MCD (cell/mm2)a
21–30 94 2799 ± 260 104 2782 ± 250 18 3893 ± 259 11 2977 ± 324
31–40 50 2744 ± 236 96 2634 ± 288 10 3688 ± 245 6 2739 ± 208
41–50 104 2642 ± 304 97 2408 ± 274 10 3749 ± 407 11 2619 ± 321
51–60 78 2553 ± 266 98 2438 ± 309 10 3386 ± 455 13 2625 ± 172
61–70 50 2485 ± 267 88 2431 ± 357 6 3307 ± 330 8 2684 ± 384
>70 28 2189 ± 416 54 2360 ± 357 15 3289 ± 313 15 2431 ± 339

Abbreviations: MCD, mean endothelial cell density; SD, standard deviation.

a

Notes: Mean ± SD

Conclusions

The normative data of the corneal endothelium of Thai eyes indicated and confirmed that MCD was decreased with increasing age and there are statistically significant differences in polygonality between genders. Relationship between endothelial cell parameters and some factors like smoking, underlying disease, eye drop drug usage, IOP, and Schirmer’s test were not found.

MCD in Thai population was similar to the Indian population compared with the previous studies. However, it was less than in the Japanese and American populations.

Acknowledgments

The authors would like to thank Dr. Praweena Sopapornamorn and Miss Worarachanee Imjaijitt for their valuable comments on this paper.

References

  1. [AAO] American Academy of Ophthalmology. Corneal endothelial photography. Three-year revision. Ophthalmology. 1997;104:1360–5. [PubMed] [Google Scholar]
  2. Hashemian MN, Moghimi S, Fard MA. Corneal endothelial cell density and morphology in normal Iranian eyes. BMC Ophthalmol. 2006;6:9. doi: 10.1186/1471-2415-6-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Hirst LW, Ferris FL, III, Stark WJ, et al. Clinical specular microscopy. Invest Ophthalmol Vis Sci. 1980;19:2–4. [PubMed] [Google Scholar]
  4. Kitagawa K, Kojima M, Sasaki H, et al. Prevalence of primary cornea guttata and morphology of corneal endothelium in aging Japanese and Singaporean. Ophthalmic Res. 2002;34:135–8. doi: 10.1159/000063656. [DOI] [PubMed] [Google Scholar]
  5. Klais CM, Bühren J, Kohnen T. Comparison of endothelial cell count using confocal and contact specular microscopy. Ophthalmologica. 2003;217:99–103. doi: 10.1159/000068562. [DOI] [PubMed] [Google Scholar]
  6. Krik RW. Basic and clinical science course section 8 2004–2005; External disease and cornea. San Francisco: American Academy of Ophthalmology; 2005. pp. 32–3. [Google Scholar]
  7. Laing RA, Sandstrom MM, Berropsi AR. Changes in corneal endothelium as a function of age. Exp Eye Res. 1976;22:587–94. doi: 10.1016/0014-4835(76)90003-8. [DOI] [PubMed] [Google Scholar]
  8. Landesz M, Siertsema JV, Van Rij G. Comparative study of three semiautomated specular microscopes. J Cataract Refract Surg. 1995;21:409–16. doi: 10.1016/s0886-3350(13)80531-7. [DOI] [PubMed] [Google Scholar]
  9. Matsuda M, Yee RW, Edelhauser HF. Comparison of the corneal endothelium in an American and a Japanese population. Arch Ophthalmol. 1985;103:68–70. doi: 10.1001/archopht.1985.01050010072023. [DOI] [PubMed] [Google Scholar]
  10. Padilla MD, Sibayan SA, Gonzales CS. Corneal endothelial cell density and morphology in normal Filipino eyes. Cornea. 2004;23:129–35. doi: 10.1097/00003226-200403000-00005. [DOI] [PubMed] [Google Scholar]
  11. Rao SK, Ranjan SP, Fogla R, et al. Cornea endothelial cell density and morphology in normal Indian eyes. Cornea. 2000;19:820–3. doi: 10.1097/00003226-200011000-00012. [DOI] [PubMed] [Google Scholar]
  12. Snellingen T, Rao GN, Shrestha JK, et al. Quantitative and morphological characteristics of the human corneal endothelium in relation to age, gender, andethnicity in cataract populations of south Asia. Cornea. 2001;20:55–8. doi: 10.1097/00003226-200101000-00011. [DOI] [PubMed] [Google Scholar]
  13. Zoega GM, Fujisawa A, Sasaki H, et al. Prevalence and risk factors for cornea guttata in the Reykjavik Eye study. Ophthalmology. 2006;113:565–9. doi: 10.1016/j.ophtha.2005.12.014. [DOI] [PubMed] [Google Scholar]

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