Purpose: To identify preoperative, perioperative, and postoperative risk factors for scleral buckle (SB) removal.
Design: Retrospective, consecutive, matched, case-control study.
Methods: Cases included all patients undergoing SB removal between August 1988 and December 2007 at a single academic center. Cases were matched against four randomly selected control patients who underwent SB implantation during the same year as the case. Odds ratios (OR) were calculated for each factor investigated.
Results: Forty cases of SB removal and 148 matched control cases were identified. Three cases of SB removal were omitted from analysis because of incomplete records. Factors associated with SB removal for any reason, using univariate analysis, included concurrent globe-penetrating injury at time of SB placement (OR, 24; 95% confidence interval [CI], 2.9 to 200), concurrent pars plana vitrectomy (PPV) (OR, 17.3; 95% CI, 4.9 to 61), diabetes mellitus (DM) (OR, 7.3; 95% CI, 1.8 to 30), prior chronic topical ocular therapy (OR, 4.3; 95% CI, 1.7 to 11), and subsequent ocular procedures (OR, 3.4; 95% CI, 1.5 to 7.5). Factors independently associated with SB removal using multivariate analysis included concurrent globe-penetrating injury (OR, 27.3; 95% CI, 1.7 to 426), concurrent PPV (OR, 11.3; 95% CI, 2.9 to 45), DM (OR, 8.9; 95% CI, 1.3 to 58), and subsequent ocular procedures (OR, 3.9; 95% CI, 1.4 to 11). Factors that did not alter SB removal risk included patient age; gender; and type, size, or location of buckling elements used.
Conclusions: Awareness of these risk factors may be valuable for the surgical planning of retinal detachment repair in patients at higher risk for subsequent SB removal and for risk stratification subsequent to SB implantation.
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http://dx.doi.org/10.1016/j.ajo.2008.05.023 | DOI Listing |
Front Biosci (Landmark Ed)
January 2025
School of Cardiovascular and Metabolic Medicine & Sciences, British Heart Foundation Centre of Research Excellence, King's College London, SE5 9NU London, UK.
Cardiovascular disease (CVD) is the most prevalent cause of mortality and morbidity in the Western world. A common underlying hallmark of CVD is the plaque-associated arterial thickening, termed atherosclerosis. Although the molecular mechanisms underlying the aetiology of atherosclerosis remain unknown, it is clear that both its development and progression are associated with significant changes in the pattern of DNA methylation within the vascular cell wall.
View Article and Find Full Text PDFEur Stroke J
January 2025
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: We aimed to assess impairments on health-related quality of life, and mental health resulting from Retinal artery occlusion (RAO) with monocular visual field loss and posterior circulation ischemic stroke (PCIS) with full or partial hemianopia using patient-reported outcome measures (PROMs).
Methods: In a prospective study, consecutive patients with acute RAO on fundoscopy and PCIS on imaging were recruited during their surveillance on a stroke unit over a period of 15 months. Baseline characteristics were determined from medical records and interviews.
Br J Hosp Med (Lond)
January 2025
Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
The Geriatric Nutritional Risk Index (GNRI) is an effective tool for identifying malnutrition, and helps monitor the prognosis of patients undergoing maintenance hemodialysis. However, the association between the GNRI and cardiovascular or all-cause mortality in hemodialysis patients remains unclear. Therefore, this study investigated the correlation of the GNRI with all-cause and cardiovascular mortality in patients undergoing maintenance hemodialysis.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
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