Introduction: To investigate nighttime symptoms in patients with myopic anisometropia after monocular small incision lenticule extraction (SMILE) surgery.
Methods: Thirty-six patients who had undergone monocular SMILE more than 6 months previously were recruited at the Eye & ENT Hospital of Fudan University. The average age at surgery was 25.4 ± 6.1 years. Preoperative spherical equivalent (SE) was -3.77 ± 1.56 D in SMILE-treated eyes and -0.08 ± 0.66 D in unoperated eyes. Main measurements included uncorrected and corrected distance visual acuity, manifest refraction, halo radius, contrast sensitivity, nighttime symptoms, and patient satisfaction.
Results: The mean follow-up time was 13.9 ± 3.4 months. The efficacy and safety indexes were 1.18 and 1.28, respectively. The halo radius was not significantly different between SMILE-treated and unoperated eyes under luminance conditions of 1, 5, and 100 cd/m (P = 0.055). No significant differences were observed in contrast sensitivity at all spatial frequencies between eyes under both uncorrected and corrected conditions (all P > 0.05). None of the patients reported moderate or severe symptoms at night. Mild symptoms (glare, halo, starburst) were reported and binocularly equal in 13 patients, whereas four patients reported better night vision in SMILE-treated eyes than unoperated eyes, and one of them experienced mild night vision disturbance. The overall satisfaction score was 9.39 ± 0.80.
Conclusions: The disk halo size and contrast sensitivity in SMILE-treated eyes were similar to those in unoperated eyes, and nighttime symptoms almost completely resolved after SMILE.
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http://dx.doi.org/10.1007/s40123-021-00396-5 | DOI Listing |
Sci Rep
January 2025
Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, 79106, Freiburg, Germany.
Acute stroke management is time-sensitive, making time data crucial for both research and quality management. However, these time data are often not reliably captured in routine clinical practice. In this proof-of-concept study we analysed image-based time data automatically captured in the DICOM format.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Pulmonary Medicine, Saint-Pierre University Hospital, Brussels, Belgium and Université Libre de Bruxelles, 1000 Brussels, Belgium.
With the aging of the population, obstructive sleep apnea (OSA) in elderly patients is now more commonly seen in clinical practice. In older people, sleepiness is less marked than in younger patients, but insomnia symptoms are more common. Comorbidities are numerous and related to cardiometabolic and cognitive conditions.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Scientific Research, SleepScore Labs, 2175 Salk Avenue, Suite 150, Carlsbad, CA, 92008, United States, 1 858-299-8995.
Background: Insufficient sleep is a problem affecting millions. Poor sleep can trigger or worsen anxiety; conversely, anxiety can lead to or exacerbate poor sleep. Advances in innovative consumer products designed to promote relaxation and support healthy sleep are emerging, and their effectiveness can be evaluated accurately using sleep measurement technologies in the home environment.
View Article and Find Full Text PDFWorld J Orthop
December 2024
Department of Orthopedics, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Background: Arthritis is a prevalent and debilitating condition that affects a significant proportion of middle-aged and older adults worldwide. Characterized by chronic pain, inflammation, and joint dysfunction, arthritis can severely impact physical function, quality of life, and mental health. The overall burden of arthritis is further compounded in this population due to its frequent association with depression.
View Article and Find Full Text PDFFront Public Health
January 2025
Reproductive Medicine Center, Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Introduction: Frailty is an emerging global health burden, and there is no consensus on the precise prediction of frailty. We aimed to explore the association between grip strength and frailty and interpret the optimal machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to predict the risk of frailty.
Methods: Data for the study were extracted from the China Health and Retirement Longitudinal Study (CHARLS) database.
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