Lens capsule pathological characteristics in cases of intraocular lens dislocation with atopic dermatitis.

PURPOSE: To explore lens capsule pathological characteristics in intraocular lens (IOL) dislocation after cataract surgery in patients with atopic dermatitis (AD). SETTING: University hospital department of ophthalmology. DESIGN: Case series with clinicopathological correlations. METHODS: Lens capsules and surrounding tissues excised during surgery from eyes with AD (AD group) and eyes without AD (non-AD group) with IOL dislocation were histologically evaluated. Hematoxylin and eosin staining was used to assess abnormal changes in lens epithelial cells (LECs). Masson trichrome staining distinguished the fibrous metaplasia around the lens capsule into high-density and low-density fibrosis. Capsular splitting (thinning) was identified in both stained preparations. RESULTS: The IOL dislocation morphology in the AD group (10 eyes of 10 patients) included 7 cases of capsular bag dislocation (CBD) and 3 cases of dead bag syndrome (DBS), with an average duration to IOL dislocation of 11.5 ± 5.6 years. All patients in the non-AD group (12 eyes of 12 patients) had CBD, averaging 10.2 ± 5.7 years to dislocation. Abnormal LECs, low-density fibrosis, and capsular splitting were observed in 9 (90), 9 (90), and 6 (60) of the patients in the AD group compared with 6 (50), 3 (25), and 2 (18), respectively, in the non-AD group (total n [%]). CONCLUSIONS: Compared with the non-AD group, the AD group exhibited higher frequencies of morphological changes in LECs, low-density fibrosis around the lens capsule, and capsular splitting characteristics of DBS. These results suggest LEC degeneration and increased lens capsule fragility occurred in patients with AD.

Lens thickness in atopic cataract: case-control study.

PURPOSE: To examine whether atopic cataracts are associated with thinner lenses. SETTING: Department of Ophthalmology, Jikei University Hospital, Tokyo, Japan. DESIGN: Retrospective matched case-control study. METHODS: 31 eyes with atopic cataracts, 62 with nonatopic cataracts, and 31 without cataracts were analyzed. Each group was matched for age (±4 years) and sex. RESULTS: The mean lens thickness (LT) was 3.76 ± 0.40 mm, 3.94 ± 0.49 mm, and 4.11 ± 0.40 mm in eyes with atopic cataracts, nonatopic cataracts, and normal lenses, respectively. Repeated-measures analysis of variance showed that the LT in the atopic cataract group was significantly thinner than that in the nonatopic cataract ( P = .036) and normal lens ( P < .001) groups. In multivariate logistic regression analysis, a thinner LT was negatively correlated with age (odds ratio [OR], 0.91; 95% CI, 0.86-0.96) and positively correlated with anterior subcapsular cataract (ASC) (OR, 5.61; 95% CI, 1.97-15.99). Atopy was not a significant factor. 24 (38.7%) of the 62 eyes with nonatopic cataracts and 24 (77.4%) of the 31 eyes with atopic cataracts had ASC. CONCLUSIONS: The lenses of eyes with atopic cataracts were thinner than those of controls. Atopic cataracts frequently present with anterior subcapsular opacity, which is associated with lens thinning.

Association of meteorological factors with the frequency of primary rhegmatogenous retinal detachment in Japan.

This 5-year ecological study assessed the association between meteorological factors and rhegmatogenous retinal detachment (RRD) frequency in 571 eyes of 543 cases of primary RRD at the Jikei University Kashiwa Hospital, Japan. We examined the monthly and seasonal distributions of RRD frequency using one-way analysis of variance. We then evaluated the relationship between monthly RRD frequency and 36 meteorological parameters using Poisson regression analysis. Furthermore, we developed multivariate regression models to predict the frequency of RRD based on specific meteorological parameters. There were no significant differences in the monthly and seasonal distributions (monthly, P = 0.99; seasonal, P = 0.77). The following eight parameters were associated with a lower RRD frequency: average sea level barometric pressure and average daily variation of average temperature, maximum temperature, maximum wind speed, maximum instantaneous wind speed, humidity, average sea level barometric pressure, and minimum sea level barometric pressure (P < 0.05). The best model to predict RRD frequency showed sufficient validity (Akaike's information criterion with correction for small sample size = 332.0) and predictive power (proportion of variance explained by cross-validation method = 84.82%, 95% CI 72.18-93.72). In conclusion, low atmospheric pressure and high meteorological stability are significantly associated with a higher frequency of RRD. In addition, the Poisson regression analysis showed sufficient validity and predictability for predicting RRD frequency.