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1.
Cureus ; 15(5): e38870, 2023 May.
Artigo em Inglês | MEDLINE | ID: mdl-37303328

RESUMO

Introduction Distal upper extremity (DUE) fractures are common and include bony fractures of the wrist, hand, and finger. DUE fractures can require hospital admission for clinical observation or surgical fixation. The trend of hospitalization rate for these injuries may more accurately predict future staffing needs, required resources, and expected revenue for orthopedic surgery hand services. The purpose of this study is to determine the trend of hospitalization percentage from 2009 to 2018 for patients presenting to the United States (US) emergency departments (EDs) with DUE fractures. Methods The National Electronic Injury Surveillance System (NEISS) was utilized to collect data from 138,700 patients with wrist, hand, or finger fractures presenting to the US EDs between 2009 and 2018. A total of 752 patients were excluded for ages less than two years old or no sex entry. The unadjusted and adjusted (age, sex, race, and fracture location) hospitalization rates across years were evaluated using binary logistic regression. Results From 2009 to 2018, 137,948 DUE fractures were reported, of which 4749 (3.4%) were hospitalized. Wrist fractures accounted for the highest amount (2953) and the highest proportion of hospitalized patients (62.2%). Higher hospitalization rates were seen among patients 40 years and older (p < 0.05). Together, the DUE fracture hospitalization rate increased significantly (p < 0.05) in 2016 (OR = 1.215, 95% CI = 1.070-1.380), 2017 (OR = 1.154, 95% CI = 1.016-1.311), and 2018 (OR = 1.154, 95% CI = 1.279-1.638) from 2009. The adjusted results showed hospitalization rate statistically increased (p < 0.05) in 2016 (OR = 1.184, 95% CI = 1.040-1.346) and 2018 (OR = 1.389, 95% CI = 1.225-1.575) compared to 2009. An inconsistent increase in hospitalization rate was seen across locations of fracture: wrist (2012, 2013, 2018), hand (2018), and finger (2016, 2018). Conclusions The hospitalization rate of patients with DUE fractures increased in 2016 and 2018 from 2009. These data may predict a need to increase future staffing and resources for orthopedic surgery hand services as hospitals resume pre-pandemic practices.

2.
Sci Rep ; 11(1): 19903, 2021 10 06.
Artigo em Inglês | MEDLINE | ID: mdl-34615975

RESUMO

Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the very-low-density-lipoprotein receptor deficient mouse (Vldlr-/-), is used for drug screening and mechanistic studies. Vessel leakage is usually examined using Fundus fluorescein angiography (FFA). However, interpreting FFA images of the Vldlr-/- model is challenging as no automated and objective techniques exist for this model. A pipeline has been developed for quantifying leakage intensity and area including three tasks: (i) blood leakage identification, (ii) blood vessel segmentation, and (iii) image registration. Morphological operations followed by log-Gabor quadrature filters were used to identify leakage regions. In addition, a novel optic disk detection algorithm based on graph analysis was developed for registering the images at different timepoints. Blood leakage intensity and area measured by the methodology were compared to ground truth quantifications produced by two annotators. The relative difference between the quantifications from the method and those obtained from ground truth images was around 10% ± 6% for leakage intensity and 17% ± 8% for leakage region. The Pearson correlation coefficient between the method results and the ground truth was around 0.98 for leakage intensity and 0.94 for leakage region. Therefore, we presented a computational method for quantifying retinal vascular leakage and vessels using FFA in a preclinical angiogenesis model, the Vldlr-/- model.


Assuntos
Angiofluoresceinografia , Neovascularização Retiniana/diagnóstico por imagem , Neovascularização Retiniana/patologia , Vasos Retinianos/patologia , Tomografia de Coerência Óptica , Algoritmos , Animais , Modelos Animais de Doenças , Angiofluoresceinografia/métodos , Humanos , Processamento de Imagem Assistida por Computador , Camundongos , Camundongos Knockout , Tomografia de Coerência Óptica/métodos
3.
Front Pharmacol ; 11: 234, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32210818

RESUMO

Retinal blood vessels provide the necessary energy, nutrients and oxygen in order to support visual function and remove harmful particles from blood, thus acting to protect neuronal cells. The homeostasis of the retinal vessels is important for the maintenance of retinal visual function. Neovascularization is the most common cause of blindness in patients with retinopathy. Previous studies have shown that inflammatory mediators are known key regulators in retinopathy, but their causal link has been elusive. Although inflammation is often thought to arise from inflammatory cells like macrophages, neutrophils, and resident microglia, retinal neurons have also been reported to contribute to inflammation, through inflammatory signals, which mediate blood vessel growth. Therefore, it is important to explore the detailed mechanisms of neuroinflammation's effects on retinal neovascularization. This review looks to summarize current research on the relationship between retinal angiogenesis and neuroinflammation in retinopathy, as well as the potential effects of neuroinflammation on retinal neovascularization in different animal models.

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