scholarly journals COVID-Q: validation of the first COVID-19 questionnaire based on patient-rated symptom gravity

2021 ◽  
Author(s):  
Giacomo Spinato ◽  
Cristoforo Fabbris ◽  
Federica Conte ◽  
Anna Menegaldo ◽  
Leonardo Franz ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Principal Component ◽  
Symptom Assessment ◽  
Parallel Analysis ◽  
Nasopharyngeal Swab ◽  
Item Fit ◽  
Irt Models ◽  
Clinical Conditions ◽  
Negative Controls ◽  
Multiple Symptoms

Objectives The aim of the present study was to develop and validate the CoronaVirus Disease 2019 (COVID19) Questionnaire (COVIDQ), a novel symptom questionnaire specific for COVID19 patients, to provide a comprehensive evaluation which may be helpful for physicians. A secondary goal of the present study was to evaluate the performance of the COVIDQ in identifying subjects at higher risk of being tested positive for COVID19. Material and methods Consecutive not hospitalized adults who underwent nasopharyngeal and throat swab for severe acute respiratory syndrome coronavirus 2 (SARSCoV2) detection at Treviso Hospital in March 2020, were enrolled. Subjects were divided into positive (cases) and negative (controls) in equal number. All of them gave consent and answered the COVIDQ. Patients not able to answer the COVIDQ due to clinical conditions were excluded. Parallel Analysis and Principal Component Analysis were used to identify clusters of items measuring the same dimension. The Item Response Theory (IRT) based analyses evaluated the functioning of item categories, the presence of clusters of local dependence among items, item fit within the model and model fit to the data. Results Answers obtained from 230 COVID19 cases (113 males, and 117 females; mean age 55 years, range 20 to 99 years) and 230 controls (61 males, and 169 females; mean age 46 years, range 21 to 89) were analyzed. Parallel analysis led to the extraction of six components, which corresponded to as many clinical presentation patterns: asthenia, influenza symptoms, ear and nose symptoms, breathing issues, throat symptoms, and anosmia/ageusia. The final IRT models retained 27 items as significant for symptom assessment. The total score on the questionnaire was significantly associated with positivity to the molecular SARSCoV2 test: subjects with multiple symptoms were significantly more likely to be affected by COVID19 (p < .001). Older age and male gender also represented risk factors. Presence of breathing issues and anosmia/ageusia were significantly related to positivity to SARSCoV2 (p < 0.001). None of the examined comorbidities had a significant association with COVID19 diagnosis. Conclusion According to the analyses, COVIDQ could be validated since the aspects it evaluated were overall significantly related to SARSCoV2 infection. The application of the novel COVIDQ to everyday clinical practice may help identifying subjects who are likely to be affected by COVID19 and address them to a nasopharyngeal swab in order to achieve an early diagnosis.

scholarly journals COVID-Q: validation of the first COVID-19 questionnaire based on patient-rated symptom gravity

2021 ◽  
Author(s):  
Giacomo Spinato ◽  
Cristoforo Fabbris ◽  
Federica Conte ◽  
Anna Menegaldo ◽  
Leonardo Franz ◽  
...  
Keyword(s):  
Principal Component ◽  
Symptom Assessment ◽  
Model Fit ◽  
Parallel Analysis ◽  
Nasopharyngeal Swab ◽  
The Novel ◽  
Everyday Clinical Practice ◽  
Item Fit ◽  
Irt Models ◽  
Multiple Symptoms

Objectives The aim of the present study is to develop and validate the COVID-Q, a novel symptom questionnaire specific for COVID-19 patients, to provide a comprehensive and standard clinical evaluation. A secondary goal of the present study was to evaluate the performance of the COVID-Q in identifying subjects at higher risk of being tested positive for COVID-19. Material and methods 460 subjects (230 COVID-19 cases and 230 healthy controls), answered the COVID-Q. Parallel Analysis and Principal Component Analysis were used to identify clusters of items measuring the same dimension. The IRT-based analyses evaluated the functioning of item categories, the presence of clusters of local dependence among items, item fit within the model and model fit to the data. Results Parallel analysis suggested the extraction of six components, which corresponded to as many clinical presentation patterns: asthenia, influenza-like symptoms, ear and nose symptoms, breathing issues, throat symptoms, and anosmia/ageusia. The final IRT models retained 27 items as significant for symptom assessment. The total score on the questionnaire was significantly associated with positivity to the molecular SARS-CoV-2 test. Subjects with multiple symptoms were significantly more likely to be affected by COVID-19 (p < .001). Older age and male gender also represented risk factors. None of the examined comorbidities had a significant association with COVID-19 diagnosis. Conclusion The application of the novel COVID-Q to everyday clinical practice may help identifying subjects who are likely to be affected by COVID-19 and address them to a nasopharyngeal swab in order to achieve an early diagnosis.

scholarly journals The client satisfaction with device: a Rasch validation of the Arabic version in patients with upper and lower limb amputation

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hadeel R. Bakhsh ◽  
Nilüfer Kablan ◽  
Walaa Alammar ◽  
Yaşar Tatar ◽  
Giorgio Ferriero
Keyword(s):  
Client Satisfaction ◽  
Item Difficulty ◽  
Principal Component ◽  
Limb Amputation ◽  
Convenience Sample ◽  
Reliability Indices ◽  
Arabic Speakers ◽  
Item Fit ◽  
Item Functioning ◽  
Local Item Dependency

Abstract Background The Client Satisfaction with Devices (CSD) module of the Orthotics and Prosthetics Users’ Survey is an extensively used questionnaire that measures patients’ satisfaction with orthosis and prosthesis. However, the validated version for Arabic speakers (CSD-Ar) is only applicable for orthosis users. Objectives The aim of this study was to evaluate the psychometric proprieties of the CSD-Ar for prosthetics users. Methods The study used a convenience sample of prosthesis users from Saudi Arabia and Turkey (N = 183), who completed the CSD-Ar. The collected data were analysed using Rasch analysis to evaluate item fit, reliability indices, item difficulty, local item dependency, and differential item functioning (DIF) using WINSTEPS version 4.6.1. Results Based on the analysis, the four-response Likert-scale was acceptable, as shown by the category functioning test, All eight items did achieve a fit to the Rasch Model [(infit) and (outfit) mean-square 0.75 to 1.3]. Person separation reliability was 0.76, and item separation reliability was 0.94. A principal component analysis (PCA) showed satisfactory unidimensionality and no local item dependency. The DIF analysis showed no notable dependency among items on participant characteristics in terms of age, gender, duration of use, country, and level of amputation. Conclusion This study contributes to the confidence of using CSD-Ar to evaluate users’ satisfaction with different prostheses, affirming the need for further refinement of the quality of the outcome measure.

scholarly journals Multiplexed profiling of single-cell extracellular vesicles secretion

2019 ◽  
Vol 116 (13) ◽  
pp. 5979-5984 ◽  
Author(s):  
Yahui Ji ◽  
Dongyuan Qi ◽  
Linmei Li ◽  
Haoran Su ◽  
Xiaojie Li ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Lines ◽  
Extracellular Vesicles ◽  
Single Cell Analysis ◽  
Comprehensive Evaluation ◽  
Single Cells ◽  
Deep Understanding ◽  
Principal Component ◽  
Cell Heterogeneity ◽  
Indispensable Tool

Extracellular vesicles (EVs) are important intercellular mediators regulating health and diseases. Conventional methods for EV surface marker profiling, which was based on population measurements, masked the cell-to-cell heterogeneity in the quantity and phenotypes of EV secretion. Herein, by using spatially patterned antibody barcodes, we realized multiplexed profiling of single-cell EV secretion from more than 1,000 single cells simultaneously. Applying this platform to profile human oral squamous cell carcinoma (OSCC) cell lines led to a deep understanding of previously undifferentiated single-cell heterogeneity underlying EV secretion. Notably, we observed that the decrement of certain EV phenotypes (e.g.,CD63+EV) was associated with the invasive feature of both OSCC cell lines and primary OSCC cells. We also realized multiplexed detection of EV secretion and cytokines secretion simultaneously from the same single cells to investigate the multidimensional spectrum of cellular communications, from which we resolved tiered functional subgroups with distinct secretion profiles by visualized clustering and principal component analysis. In particular, we found that different cell subgroups dominated EV secretion and cytokine secretion. The technology introduced here enables a comprehensive evaluation of EV secretion heterogeneity at single-cell level, which may become an indispensable tool to complement current single-cell analysis and EV research.

An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation

2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Component Variable ◽  
The Status ◽  
Carbon Economy

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.

Classification and Prediction of Goldfish Population and Water Quality Using a Potentiometric E-Tongue

2017 ◽  
Vol 60 (4) ◽  
pp. 1037-1044
Author(s):  
Zhenbo Wei ◽  
Yu Zhao ◽  
Jun Wang
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Pattern Recognition ◽  
Comprehensive Evaluation ◽  
Back Propagation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Pattern Recognition Methods

Abstract. In this study, a potentiometric E-tongue was employed for comprehensive evaluation of water quality and goldfish population with the help of pattern recognition methods. Four water quality parameters, i.e., pH and concentrations of dissolved oxygen (DO), nitrite (NO2-N), and ammonium (NH3-N), were tested by conventional analysis methods. The differences in water quality parameters between samples were revealed by two-way analysis of variance (ANOVA). The cultivation days and goldfish population were classified well by principal component analysis (PCA) and canonical discriminant analysis (CDA), and the distribution of each sample was clearer in CDA score plots than in PCA score plots. The cultivation days, goldfish population, and water parameters were predicted by a T-S fuzzy neural network (TSFNN) and back-propagation artificial neural network (BPANN). BPANN performed better than TSFNN in the prediction, and all fitting correlation coefficients were &gt;0.90. The results indicated that the potentiometric E-tongue coupled with pattern recognition methods could be applied as a rapid method for the determination and evaluation of water quality and goldfish population. Keywords: Classify, E-tongue, Goldfish water, Prediction.

scholarly journals Research on Liquor Storage Based on Statistical Analysis Model

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu
Keyword(s):  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Evaluation Index System ◽  
Classification Model ◽  
Analysis Model ◽  
The Index System ◽  
Storage Methods ◽  
Physical And Chemical

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.

Effect of Se Enrichment on Improving the Quality of Camellia Oil from Different Source Varieties

2020 ◽  
Vol 14 (5) ◽  
pp. 657-663
Author(s):  
Jie Liu ◽  
Lichao Wu ◽  
Yimin Tan
Keyword(s):  
Comprehensive Evaluation ◽  
Wide Spectrum ◽  
Biological Effects ◽  
Principal Component ◽  
Acid Value ◽  
Fertilizer Application ◽  
Tocopherol Content ◽  
Camellia Oil ◽  
Functional Components

Se-enriched camellia oil has received increasing attention because it can improve the Se intake of diet for Se deficiency areas and has a wide spectrum of biological effects. Six main cultivars of camellia oil in Guangxi, including Camellia oleifera cenxiruanzhi 2 (CR2), CR3, C. oleifera xianglin 4 (XL4), XL40, C. oleifera changlin 1 (CL1), and CL210, were selected for fertilization experiment to produce Se-enriched camellia oil and investigated the effect of Se enrichment on quality. The Se content in camellia oil of six varieties was significantly increased by Se fertilizer application. CR2 had the maximum Se content and raise ratio compared to CK, which was 0.87 mg kg−1 and fourfold, respectively. The Se contents in XL1, XL210, CR3, CL4, and CL40 improved by 2.14-, 2.77-, 3.58-, 2.56-, and 3.79-fold, respectively. Se fertilizer reduced the acid and peroxide values and increased the squalene and tocopherol contents. The acid value decreased by 38.29%–61.30%, the peroxide value decreased by 20.66%–61.79%, the tocopherol content increased by 7.76%–32.78%, and the squalene content increased by 13.53%–77.39%. The quality indices were significantly different among camellia oil varieties. Principal component analysis showed that CR2 obtained the highest score by comprehensive evaluation. Se fertilization, particularly for CR2 species, can significantly increase the contents of Se as well as functional components, such as squalene and tocopherol, and thus improve the quality of camellia oil

Comparison on Dam Risk Consequences Comprehensive Evaluation Model

2013 ◽  
Vol 785-786 ◽  
pp. 1465-1468
Author(s):  
Wei Wei Sun ◽  
Lei Li ◽  
Hao Yao Zheng ◽  
Xue Ying Zhao
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Correlation Method ◽  
Principal Component ◽  
Principal Component Method ◽  
Weighted Sum Method ◽  
Comprehensive Evaluation Model ◽  
Gray Correlation ◽  
Mathematics Method ◽  
Dam Risk

Many evaluation factors are involved in dam risk consequences comprehensive evaluation, which exist plenty of uncertainty and correlation between each other. Combined the five methods, such as linear weighted sum method, fuzzy mathematics method, matter element method, gray correlation method and principal component method with dam risk consequences comprehensive evaluation, establishing five dam risk comprehensive evaluation models, applying to the level evaluation of Changlong Reservoir, Xialan Reservoir, Shibikeng Reservoir, Longshan Reservoir, Lingtan Reservoir successfully.

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