| Literature DB >> 35469216 |
Asaf Achiron1,2, Tal Yahalomi3, Idan Hecht2,4, Nir Stanescu3, Romi Achiron Noy2, Zvia Burgansky-Eliash2,5, Haggai Avizemer2,6, Raimo Tuuminen7,8, Oriel Spierer2,6.
Abstract
Purpose: It is controversial whether donor-recipient sex mismatch is a risk factor associated with corneal graft failure. The purpose of this study was to investigate the effect of sex mismatch on corneal graft failure in high-risk and non-high-risk patients. Design: A retrospective study.Entities:
Year: 2022 PMID: 35469216 PMCID: PMC9034955 DOI: 10.1155/2022/1520912
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.974
Figure 1Flow diagram of the patients included in the analysis.
Baseline characteristics of the 51 high-risk patients.
| Parameter | Gender |
| Male-to-female |
| ||
|---|---|---|---|---|---|---|
| Mismatch ( | Match ( | Yes ( | No ( | |||
| Donor age | 56.1 ± 11.9 | 58.1 ± 17.4 | 0.733 | 53.3 ± 11.1 | 58.7 ± 16.9 | 0.399 |
| Recipient age | 74.1 ± 10.4 | 73.0 ± 13.9 | 0.786 | 78.2 ± 5.1 | 71.9 ± 14.0 | 0.173 |
| Follow-up (days) | 1072.1 ± 496.9 | 1087.7 ± 510.8 | 0.940 | 1042.7 ± 297.5 | 1098.9 ± 559.9 | 0.758 |
| Indication for keratoplasty | ||||||
| Previous failed graft | 7 (38.9) | 15 (45.4) | 0.651 | 7 (50.0) | 15 (40.5) | 0.543 |
| PBK | 5 (27.8) | 13 (39.4) | 0.407 | 5 (35.7) | 13 (35.1) | 0.969 |
| FED | 1 (5.6) | — | 0.353 | 1 (7.1) | — | 0.275 |
| Corneal perforation | 1 (5.6) | 3 (9.1) | 1.000 | — | 4 (10.8) | 0.565 |
| Corneal infection | 1 (5.6) | 2 (6.1) | 1.000 | — | 3 (8.1) | 0.552 |
| Others | 3 (16.7) | — | 1 (7.1) | 2 (5.4) | ||
| Surgery type | ||||||
| DSEK | 11 (61.1) | 15 (45.5) | 0.285 | 10 (71.4) | 16 (43.2) | 0.116 |
| PK | 7 (38.9) | 18 (54.5) | 0.285 | 4 (28.6) | 21 (56.8) | 0.116 |
| Graft size (mm) | 8.2 ± 0.3 | 8.4 ± 0.2 | 0.134 | 8.2 ± 0.3 | 8.5 ± 0.2 | 0.091 |
| High-risk factors for graft failure | ||||||
| Glaucoma | 14 (77.8) | 22 (66.7) | 0.405 | 11 (78.6) | 25 (67.6) | 0.513 |
| Ocular surface disease | 2 (11.1) | 8 (24.2) | 0.462 | 2 (14.3) | 8 (21.6) | 0.707 |
| Corneal stromal vascularization | 2 (11.1) | 1 (3.0) | 0.282 | 2 (14.3) | 1 (2.7) | 0.179 |
The data are given as the mean ± SD for continuous variables and absolute numbers with proportions for categorical variables. For two-group comparisons, parametric variables (age and follow-up) were analyzed with Student's t-test, while nonparametric variable (graft size) with the Mann–Whitney U test. The categorical data were analyzed with Pearson's chi-square test or Fisher's exact test when values in any of the cells of a contingency table were below five. PBK: pseudophakic bullous keratopathy; FED : Fuchs endothelial dystrophy; DSEK : Descemet stripping endothelial keratoplasty; PK: penetrating keratoplasty.
Figure 2Corneal graft Kaplan–Meier survival curves in gender matched and mismatched high-risk patients (p=0.022, log-rank test).
Figure 3Corneal graft Kaplan–Meier survival curves in male-to-female recipients and other high-risk patients (p=0.002, log-rank test).
Baseline characteristics comparison between non-high-risk and high-risk patients.
| Parameter | Non-high-risk (N = 62) | High-risk (N = 51) |
|
|---|---|---|---|
| Age (years) | |||
| Donor | 63.0 ± 9.1 | 57.5 ± 15.8 | 0.084 |
| Recipient | 75.1 ± 9.7 | 73.4 ± 12.7 | 0.511 |
| Gender (male : female) | |||
| Donor | 47 : 15 (76 : 24%) | 35 : 16 (69 : 31%) | 0.394 |
| Recipient | 18 : 44 (29 : 71%) | 25 : 26 (49 : 51%) | 0.029 |
| Follow-up (days) | 1163.8 ± 488.7 | 1084.0 ± 500.1 | 0.542 |
The data are given as the mean ± SD for continuous variables and absolute numbers with proportions for categorical variables. For two-group comparisons, parametric variables (age and follow-up) were analyzed with Student's t-test and categorical data (gender) with Pearson's chi-square test.
Figure 4Corneal graft Kaplan-Meier survival curves in non-high-risk and high-risk patients (p=0.034, log-rank test).