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1.
Tzu Chi Med J ; 36(2): 223-230, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38645781

RESUMO

Objectives: Age-related macular degeneration (AMD) is a chronic and degenerative disease of the retina that leads to irreversible blindness. There is no proven effective treatment for early AMD and advanced AMD. Mediterranean diet (MD) has been linked to reducing the risk or delaying the progression of AMD. Therefore, in this study, we aim to investigate the potential of MD as a modifiable risk factor for AMD. Materials and Methods: A systematic search was performed in three databases: PubMed, EBSCO host, and Proquest. We search for studies that determine the association of MD in AMD. Then, we pooled the data for meta-analysis. Results: Eight studies were included in our systematic review. Seven studies were included for meta-analysis. Subjects with medium-high (hazard ratio [HR] 0.82; 95% confidence interval [CI]: 0.75-0.90) adherence to the MD showed a reduced risk of developing AMD. Moreover, medium adherence AMD shows a significant and inverse relationship with the progression to advanced AMD (HR: 0.87; 95% CI: 0.81-0.93). Although it is still inconsistent, the reduction appears stronger for geographic atrophy than for neovascular AMD. Conclusion: Adhering to the MD, particularly at a medium to high level, appears to confer a protective effect against AMD. The sub-analysis demonstrates even that there is a protective effect associated with moderate adherence against advanced AMD. The presence of considerable heterogeneity within the results warrants cautious interpretation. Further research is needed to enhance our understanding.

2.
Tzu Chi Med J ; 35(4): 355-361, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38035057

RESUMO

Objectives: Chronic obstructive pulmonary disease (COPD) patients have a higher risk of developing diabetes, and studies suggest that inhaled corticosteroids (ICSs) use may be associated with a higher risk of diabetes, particularly at higher doses. This study aims to investigate the effects of ICS use on the risk of diabetes and blood glucose levels in COPD patients. Materials and Methods: A systematic search was carried out on the PubMed, EBSCOhost, and ProQuest databases using the terms "Inhaled Corticosteroids," "Diabetes," and "Chronic Obstructive Pulmonary Disease" for the period between 2013 and 2023. The systematic review adhered to the PRISMA 2020 guideline. A meta-analysis was conducted using a random-effects model using the RevMan 5 software. Results: A total of 14 studies were included in the final analysis, with 10 randomized controlled trials (RCTs) and 4 observational studies. Two observational studies investigated the relationship between ICS dose and diabetes risk. A meta-analysis of the RCTs studies showed a nonstatistically significant tendency toward increased blood glucose (odds ratio [OR] 1.07 and 95% confidence interval [CI] 0.88-1.30) after a 52-week follow-up. Whereas the observational studies showed a tendency toward an increased risk of diabetes (OR 1.40 and 95% CI 0.96-2.03). Furthermore, a subgroup meta-analysis of high-dose ICS (>900 µg/day) showed a significant increase in the risk of diabetes (OR 1.20 and 95% CI 1.09-1.32). Conclusion: Short-term use of ICS does not have a significant effect on blood glucose. However, long-term use, especially at higher doses, can increase the risk of developing diabetes.

3.
Trauma Case Rep ; 48: 100942, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37846227

RESUMO

Crush injury is one of the most challenging decisions for a surgeon to decide whether to proceed with an amputation or salvage a limb. We presented a 24-year-old man who complained of having suffered a crushed thigh 12 h before admission to the hospital. The patient was driving a truck and hit the iron bridge barrier, which penetrated his left thigh. The patient's left foot was cold, pallid, and pulseless, with a MESS score of 11. The femur x-ray showed a displaced fracture of the left femur associated with a 15 cm bone defect. The patient was diagnosed with a crush injury on the left femur with vascular compromise. We performed a proximal femoral megaprosthesis for a crush injury on the lower extremity, After the sixth year's follow-up, it shows a good outcome and increased quality of life for this patient. In addition, there was an improvement in the Harris Hip Score and EQ5D score. Megaprosthesis used to treat a crush injury revealed good functional outcomes despite the MESS score of 11. A multi-professional approach to the patient is essential for decision-making regarding limb salvage rather than the use of a score.

4.
Int J Surg Case Rep ; 109: 108602, 2023 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-37536101

RESUMO

INTRODUCTION AND IMPORTANCE: Monteggia fractures are proximal ulna fractures that involve radial caput displacement. Radial caput excision or resection is only suggested in situations of Monteggia lesions with radial caput fractures. Radial head resection should be avoided because the radial head is the principal stabilizer of the elbow and forearm. In this case report, we present a case of radial head resection at a young age after Monteggia reconstruction. CASE PRESENTATION: A 26-year-old female came to the orthopaedic clinic for removal implant control after eight years postoperatively, patient had motorcycle accident at 2015 and performed ORIF Monteggia fracture with radial head resection. The patient also showed good alignment of the antebrachi, and there were no limitations in performing supination, pronation, and flexion of elbow and wrist movements. There were also no complications related to the radial head resection from the x-ray examination. CLINICAL DISCUSSION: After eight years postoperatively of ORIF Monteggia reconstruction with radial head resection showed a good outcome and improved quality of life for this patient. There was improvement in DASH and MEPS scores. CONCLUSION: Patients with radial head resection at a young age after Monteggia reconstruction had good results and should be considered.

5.
J Magn Reson Imaging ; 57(3): 871-881, 2023 03.
Artigo em Inglês | MEDLINE | ID: mdl-35775971

RESUMO

BACKGROUND: Accurate and rapid measurement of the MRI volume of meningiomas is essential in clinical practice to determine the growth rate of the tumor. Imperfect automation and disappointing performance for small meningiomas of previous automated volumetric tools limit their use in routine clinical practice. PURPOSE: To develop and validate a computational model for fully automated meningioma segmentation and volume measurement on contrast-enhanced MRI scans using deep learning. STUDY TYPE: Retrospective. POPULATION: A total of 659 intracranial meningioma patients (median age, 59.0 years; interquartile range: 53.0-66.0 years) including 554 women and 105 men. FIELD STRENGTH/SEQUENCE: The 1.0 T, 1.5 T, and 3.0 T; three-dimensional, T1 -weighted gradient-echo imaging with contrast enhancement. ASSESSMENT: The tumors were manually segmented by two neurosurgeons, H.K. and C.-K.P., with 10 and 26 years of clinical experience, respectively, for use as the ground truth. Deep learning models based on U-Net and nnU-Net were trained using 459 subjects and tested for 100 patients from a single institution (internal validation set [IVS]) and 100 patients from other 24 institutions (external validation set [EVS]), respectively. The performance of each model was evaluated with the Sørensen-Dice similarity coefficient (DSC) compared with the ground truth. STATISTICAL TESTS: According to the normality of the data distribution verified by the Shapiro-Wilk test, variables with three or more categories were compared by the Kruskal-Wallis test with Dunn's post hoc analysis. RESULTS: A two-dimensional (2D) nnU-Net showed the highest median DSCs of 0.922 and 0.893 for the IVS and EVS, respectively. The nnU-Nets achieved superior performance in meningioma segmentation than the U-Nets. The DSCs of the 2D nnU-Net for small meningiomas less than 1 cm3 were 0.769 and 0.780 with the IVS and EVS, respectively. DATA CONCLUSION: A fully automated and accurate volumetric measurement tool for meningioma with clinically applicable performance for small meningioma using nnU-Net was developed. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.


Assuntos
Aprendizado Profundo , Neoplasias Meníngeas , Meningioma , Masculino , Humanos , Feminino , Pessoa de Meia-Idade , Meningioma/diagnóstico por imagem , Estudos Retrospectivos , Processamento de Imagem Assistida por Computador/métodos , Imageamento por Ressonância Magnética/métodos , Neoplasias Meníngeas/diagnóstico por imagem
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