Etiologies and Clinical Characteristics of Patients with Macular Hole: A 8-Years Single-Center Retrospective Study

Abstract Background: To investigate the etiologies and clinical characteristics of full-thickness macular hole (FTMH) patients at Shanxi eye hospital of North China. Methods: Patients diagnosed with FTMH and treated with surgery from 2012 to 2020 were included, and the etiologies and clinical features of different types of MHs were analysed in the 8-years cross sectional retrospective study. Multivariate correlation analysis was used to predict the related factors affecting baseline vision.Results: A total of 752 cases (776 eyes) were analysed. The top three causes of MH were idiopathic (IMH, 64.4%), myopic (MMH, 21.1%) and traumatic (TMH, 3.7%). Among these three causes’ groups, there were significant differences in sex distribution, age, and baseline BCVA. Female was predominated in IMH and MMH, while it was the opposite in TMH. The age of onset in IMH was older than MMH and TMH. The baseline Logarithm of the Minimum Angle of Resolution (logMAR) best-corrected visual acuity (BCVA) in IMH (Z=8.9, p<0.001) and Others group (Z=4.0, p<0.001) were significantly better than in MMH. In IMH, female patients had younger age, shorter axial length, and poorer baseline BCVA than male, while in MMH there were no significant differences between sexes. Multivariate correlation analysis showed that the smaller hole diameter of IMH, MMH without retinal detachment and younger age in TMH, may resulted in better baseline BCVA. Conclusions: The most common etiologies in MH were idiopathic, myopic and traumatic, which contributed to the different clinical features. Female was more common in IMH and MMH, and patients with MMH were 6.5 years earlier than IMH in onset. Therefore earlier monitoring fundus for female and people with high myopia is helpful for early detection and timely treatment.

Download Full-text

Prediction of Myopia in Adolescents through Machine Learning Methods

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17020463 ◽

2020 ◽

Vol 17 (2) ◽

pp. 463

Author(s):

Xu Yang ◽

Guo Chen ◽

Yunchong Qian ◽

Yuhan Wang ◽

Yisong Zhai ◽

...

Keyword(s):

Machine Learning ◽

Correlation Analysis ◽

Feature Selection Method ◽

Original Data ◽

Related Factors ◽

Multivariate Correlation ◽

Younger Age ◽

Svm Model ◽

Model Training ◽

Missing Items

According to literature, myopia has become the second most common eye disease in China, and the incidence of myopia is increasing year by year, and showing a trend of younger age. Previous researches have shown that the occurrence of myopia is mainly determined by poor eye habits, including reading and writing posture, eye length, and so on, and parents’ heredity. In order to better prevent myopia in adolescents, this paper studies the influence of related factors on myopia incidence in adolescents based on machine learning method. A feature selection method based on both univariate correlation analysis and multivariate correlation analysis is used to better construct a feature sub-set for model training. A method based on GBRT is provided to help fill in missing items in the original data. The prediction model is built based on SVM model. Data transformation has been used to improve the prediction accuracy. Results show that our method could achieve reasonable performance and accuracy.

Download Full-text

AB0442 CLINICAL FEATURES OF POLYMYOSITIS AND DERMATOMYOSITIS PATIENTS WITH SEVERE DYSPHAGIA

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.2757 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 1249.1-1249

Author(s):

Y. Hayashi ◽

K. Izumi ◽

S. Hama ◽

M. Higashida-Konishi ◽

M. Ushikubo ◽

...

Keyword(s):

Interstitial Pneumonia ◽

Clinical Features ◽

Clinical Characteristics ◽

Age Of Onset ◽

Inflammatory Diseases ◽

Medical Center ◽

Hospital Organization ◽

Initial Examination ◽

Severe Dysphagia ◽

Frequent Complication

Background:Polymyositis (PM) and dermatomyositis (DM) are autoimmune inflammatory diseases characterized by proximal myositis. Dysphagia has been reported to develop in 35 to 62% of PM/DM patients and known as poor prognosis factor.Objectives:The purpose of this study is to determine the clinical characteristics of PM/DM patients who present with deglutition disorder.Methods:Consecutive patients with PM/DM who visited National Hospital Organization Tokyo Medical Center between April 2010 and January 2021 are included in this study. We compared clinical features between the patients with and without dysphagia. The diagnosis of dysphagia was based on videofluorography swallow study, and dysphagia requiring gastrostomy was defined as severe dysphagia. The clinical characteristics compared in this study were following: age of onset, levels of serum creatine kinase (CK) and lactate dehydrogenase(LDH), sense of dysphagia, manual muscle test (MMT) score, and complication of malignancy or interstitial pneumonia.Results:A total of 73 patients with PM/DM were identified. Among them, 12 patients were diagnosed with dysphagia, and 5 patients developed severe dysphagia. Patients with dysphagia had the following characteristics compared to patients without dysphagia: higher levels of serum LDH (833.7 ± 500.1 U/L vs 471.9 ± 321.0 U/L, p = 0.0088), higher levels of serum CK at initial examination (6070.3 ± 7184.8 IU/L vs 1534.7 ± 2978.8 IU/L, p = 0.0086) and more frequent sense of dysphagia (90.9% vs 10.6%, p< 0.0001), lower MMT score(3.18 ± 1.07 vs 4.31 ± 0.75, p = 0.0017). In addition to those, patients with severe dysphagia presented older age of onset (mean age 69.4 ± 12.0 vs 51.7 ± 14.8, p = 0.014), more frequent complication of malignancy (80.0% vs 14.8%, p= 0.0048) and less frequent complication of interstitial pneumonia (0.0% vs 55.5%, p= 0.023).Conclusion:These results indicate that dysphagia develops frequently in PM/DM patients with higher levels of serum LDH or CK, sense of dysphagia and low MMT score. Among them, patients with elderly onset or malignancy are at risk for sever dysphagia, and should be treated carefully.Disclosure of Interests:None declared.

Download Full-text

Multivariate correlation analysis and its application in environmental analysis

Analytica Chimica Acta ◽

10.1016/0003-2670(91)87040-e ◽

1991 ◽

Vol 242 ◽

pp. 5-9 ◽

Cited By ~ 8

Author(s):

S. Geiss ◽

J. Einax ◽

K. Danzer

Keyword(s):

Correlation Analysis ◽

Environmental Analysis ◽

Multivariate Correlation ◽

Multivariate Correlation Analysis

Download Full-text

Multivariate Correlation Analysis of the Electroconductive Textiles Obtained Using Functionalization by Radio-Frequency Oxygen Plasma Treatments

Materials ◽

10.3390/ma14195609 ◽

2021 ◽

Vol 14 (19) ◽

pp. 5609

Author(s):

Raluca Maria Aileni ◽

Laura Chiriac ◽

Doina Toma ◽

Irina Sandulache

Keyword(s):

Thin Film ◽

Correlation Analysis ◽

Thin Film Deposition ◽

Film Deposition ◽

Rf Plasma ◽

Multivariate Correlation ◽

Hydrophilic Character ◽

Fabric Surface ◽

O2 Plasma ◽

Multivariate Correlation Analysis

This paper presents a study concerning the preliminary treatments in radiofrequency (RF)oxygen (O2) plasma used to obtain a hydrophilic effect on raw cotton fabrics followed by electroconductive thin film deposition to obtain electroconductive textile surfaces. In addition, this study presents a multivariate correlation analysis of experimental parameters. The treatment using RF plasma O2 aimed to increase the hydrophilic character of the raw fabric and adherence of paste-based polymeric on polyvinyl alcohol (PVA) matrix and nickel (Ni), silver (Ag) or copper (Cu) microparticles. The purpose of the research was to develop electroconductive textiles for flexible electrodes, smart materials using a clean technology such as radiofrequency (RF) plasma O2 to obtain a hydrophilic surface with zero wastewater and reduced chemicals and carbon footprint. To achieve the foreseen results, we used advanced functionalization technologies such as RF plasma O2, followed by scraping a thin film of conductive paste-based Ni, Ag or Cu microparticles, and multivariate correlation methods to observe the dependence between parameters involved (dependent and independent variables). Overall, the fabrics treated in plasma with O2 using a kHz or MHz generator and power 100–200 W present an excellent hydrophilic character obtained in 3 min. After RF O2 plasma functionalization, a thin film based on polymeric matrix PVA and Ni microparticles have been deposited on the fabric surface to obtain electroconductive materials.

Download Full-text