Objective: To evaluate changes in the thickness of the crystalline lens components in children with different refractive errors before and after cycloplegia.
Methods And Analysis: This prospective study recruited 132 right eyes from 132 children (age 5-15 years) with different spherical equivalent (SE) ranging from -6.00 diopters (D) to +6.75 D. We categorized these eyes into non-myopia (N = 30), low-myopia (N = 77), and moderate-myopia (N = 25) groups. The thickness parameters of the crystalline lens components, including lens thickness (LT), lens nucleus thickness (LNT), anterior cortex thickness (ACT), and posterior cortex thickness (PCT), were assessed using optical coherence tomography before and after 0.5 % tropicamide-induced cycloplegia.
Results: After cycloplegia, LT significantly decreased from 3.47 ± 0.20 to 3.41 ± 0.20 mm in non-myopia eyes (P < 0.05), and from 3.30 ± 0.17 to 3.27 ± 0.16 mm in low-myopia eyes (P < 0.05), with no significant changes in moderate-myopia eyes (P < 0.05). LNT decreased from 3.15 ± 0.19 to 3.09 ± 0.19 mm in non-myopia eyes (P < 0.05), and from 3.02 ± 0.20 to 2.99 ± 0.17 mm in low-myopia eyes (P < 0.01), with no reduction observed in moderate-myopia eyes (P > 0.05). Cycloplegia-induced changes in ACT and PCT (all P > 0.05) did not differ significantly between the groups. SE was positively correlated with LT and LNT before (Pearson's r = 0.353 and 0.272, respectively; both P < 0.05) and after cycloplegia (r = 0.285 and 0.198, respectively; both P < 0.05).
Conclusions: LT and LNT significantly decreased after cycloplegia induced by 0.5 % tropicamide in children with non-myopia and low-myopia, while neither ACT nor PCT changed significantly. SE was positively correlated with LT and LNT.
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http://dx.doi.org/10.1016/j.optom.2025.100539 | DOI Listing |
Comput Biol Med
March 2025
The AIM for Health Lab, Monash University, Melbourne, Australia; Faculty of Information Technology, Monash University, Melbourne, Australia. Electronic address:
Objective: To resolve the underestimation problem and investigate the mechanism of the AI model which employed to predict cardiovascular disease (CVD) risk scores from retinal fundus photos.
Methods: An ordinal regression Deep Learning (DL) model was proposed to predict 10-year CVD risk scores. The mechanism of the DL model in understanding CVD risk was explored using methods such as transfer learning and saliency maps.
ACS Omega
March 2025
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy (Girls), Al-Azhar University, Nasr City, Cairo 11751, Egypt.
Modern society is increasingly reliant on sustainable solutions. We suggest a creative study that meets the standards of sustainability in analytical chemistry. The objective is to promote eco-friendly methods for concurrently detecting Gatifloxacin (GAT) and benzalkonium chloride (BEN) in ocular solutions.
View Article and Find Full Text PDFKorean J Ophthalmol
March 2025
Neuroophthalmology Division, Ophthalmology Department, Faculty of Medicine Universitas Indonesia/Cipto Mangunkusumo Hospital, Indonesia.
Purpose: This study investigated carotid-cavernous fistula (CCF) demographics, clinical profiles, imaging results, and treatment outcomes.
Methods: Our retrospective analysis included CCF patients' medical records from January 2016 to January 2022. This study included 51 cases-34 traumatic and 17 spontaneous CCFs.
J AAPOS
March 2025
Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address:
Purpose: To describe the refractive outcomes and best-corrected visual acuity (BCVA) for pediatric patients with Marfan syndrome.
Methods: The medical records of patients with Marfan syndrome seen at a pediatric tertiary care center between 2015 and 2023 were reviewed retrospectively. Patients >21 years of age at presentation or with follow-up <6 months were excluded.
BMC Pulm Med
March 2025
Division I, Department of Geriatric Respiratory, Guangdong Provincial People's Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, Guangzhou, China.
Background: Obstructive sleep apnea (OSA) is recognized to increase the risk of dyslipidemia; however, the specific sleep traits in OSA that influence dyslipidemia are poorly understood. This study sought to determine which sleep traits are independently associated with dyslipidemia and serum lipid profiles in patients with OSA.
Methods: In this cohort study, 5239 participants were included from the Sleep Heart Health Study.
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