T1D and T2D predispose to higher Nd:YAG capsulotomy rates following cataract surgery: analysis of 53,471 consecutive cases.


Journal

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
ISSN: 1715-3360
Titre abrégé: Can J Ophthalmol
Pays: England
ID NLM: 0045312

Informations de publication

Date de publication:
18 Mar 2024
Historique:
received: 11 11 2023
revised: 01 01 2024
accepted: 25 02 2024
medline: 22 3 2024
pubmed: 22 3 2024
entrez: 21 3 2024
Statut: aheadofprint

Résumé

To assess the effect of diabetes type on Nd:YAG capsulotomy rates following cataract surgery. A retrospective cohort study. All patients who underwent cataract extraction at the Department of Ophthalmology, Bristol Eye Hospital, Bristol, UK, between 2003 and 2017 were included. The Nd:YAG capsulotomy rate following cataract surgery was assessed and compared between nondiabetic, type 1 diabetes (T1D), and type 2 diabetes (T2D) patients. Multivariate Cox regression analysis controlling for age and sex was used to estimate hazard ratios for Nd:YAG laser capsulotomies. Included were 53,471 consecutive cataract surgeries. Overall, 42,651 eyes (79.8%) were in nondiabetic patients, 823 eyes (1.5%) were in T1D patients, and 9,997 eyes (18.7%) were in T2D patients. The mean follow-up time was 6.8 ± 4.2 years. In univariate analysis, the eyes of T1D patients (p < 0.001) and T2D patients (p = 0.003) had significantly higher Nd:YAG laser capsulotomy rates than the eyes of nondiabetic patients. In Cox regression analysis adjusted for the patient's age and sex, DM1 (HR 1.692, 95%CI 1.390-2.059, P<0.001) and DM2 (HR 1.157, 95%CI 1.075-1.244, P<0.001) remained significantly predictive for higher Nd:YAG laser capsulotomy rates. In our large cohort study, patients with T1D and T2D were predisposed to high risk for Nd:YAG capsulotomy following cataract surgery. This study may be beneficial and raise awareness regarding the assessment of posterior capsular opacification development in pseudophakic diabetic patients, particularly those with T1D. The significance of ophthalmology screening for diabetes individuals is further supported by this issue.

Identifiants

pubmed: 38513717
pii: S0008-4182(24)00057-7
doi: 10.1016/j.jcjo.2024.02.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Footnotes and Disclosures Raimo Tuuminen and Asaf Achiron made equal contributions to this paper. The authors have no proprietary or commercial interest in any materials discussed in this article. Supported by: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Auteurs

Mariana Cunha (M)

Helsinki Retina Research Group, University of Helsinki, Helsinki, Finland; Medical School, São Paulo State University (UNESP), São Paulo, Brazil.

Omar Elhaddad (O)

Bristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom; Faculty of Medicine, Alexandria University, Alexandria, Egypt.

Tal Yahalomi (T)

Department of Ophthalmology, Samson Assuta Ashdod Hospital and Faculty of Health Sciences, Ben-Gurion University of the Negev, Negev, Israel. Electronic address: yatal25@gmail.com.

Venkata Avadhanam (V)

Bristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.

Derek Tole (D)

Bristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.

Kieran Darcy (K)

Bristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.

Eliya Levinger (E)

Faculty of Medicine, Alexandria University, Alexandria, Egypt.

Raimo Tuuminen (R)

Helsinki Retina Research Group, University of Helsinki, Helsinki, Finland; Department of Ophthalmology, Kymenlaakso Central Hospital, Kotka, Finland.

Asaf Achiron (A)

Tel-Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Classifications MeSH