scholarly journals A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi-Ning Dai ◽  
Wei Zheng ◽  
Qing-Qing Wu ◽  
Tian-Chen Hui ◽  
Nan-Nan Sun ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Clinical Manifestations ◽  
Cost Effective ◽  
Rapid Screening ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Screening Model ◽  
Epidemiological Features ◽  
Geographical Regions ◽  
Novel Coronavirus

AbstractNovel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

scholarly journals A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: A Multicenter Study

2020 ◽  
Author(s):  
Hai-Jun Huang ◽  
Lan-Juan Li ◽  
Hong-Ying Pan ◽  
Yi-Ning Dai ◽  
Wei Zheng ◽  
...  
Keyword(s):  
Clinical Manifestations ◽  
Cost Effective ◽  
Rapid Screening ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Screening Model ◽  
A Value ◽  
Novel Coronavirus ◽  
Fold Cross Validation ◽  
Rule Out

Abstract Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from Jan 17 to Feb 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920 (95% confidence interval: 0.902-0.938; AUROC=0.915, and its standard deviation of 0.028, as evaluated in 5-fold cross-validation). At a value of whether the predicted score >4.0, the model could detect NCP with a specificity of 98.3%; at a cut-off value of < -0.5, the model could rule out NCP with a sensitivity of 97.9%. The study demonstrated that the rapid screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

scholarly journals Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm

Medicine ◽  
2021 ◽  
Vol 100 (24) ◽  
pp. e26279
Author(s):  
Suxia Bao ◽  
Hong-yi Pan ◽  
Wei Zheng ◽  
Qing-Qing Wu ◽  
Yi-Ning Dai ◽  
...  
Keyword(s):  
Random Forest ◽  
Rapid Screening ◽  
Random Forest Algorithm ◽  
Screening Model ◽  
Multicenter Analysis ◽  
Novel Coronavirus ◽  
Early Novel

scholarly journals Salient Conclusive Remarks on Epidemiology and Clinical Manifestations of Pediatric COVID-19: Narrative Review

2020 ◽  
Vol 8 ◽  
Author(s):  
Abdelwahid Saeed Ali ◽  
Ahmed Mossa Al-Hakami ◽  
Ayed Abdullah Shati ◽  
Ali Alsuheel Asseri ◽  
Saleh Mohammed Al-Qahatani
Keyword(s):  
Clinical Manifestations ◽  
Primary Source ◽  
The Elderly ◽  
Narrative Review ◽  
Human Populations ◽  
Clinical Phenotypes ◽  
Virus Acquisition ◽  
Epidemiological Features ◽  
Significant Public Health ◽  
Novel Coronavirus

The ongoing pandemic of COVID-19, which is caused by the novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), constituted significant public health concerns and impacted the human populations with massive economic and social burdens worldwide. The disease is known to infect people of all ages, including children, adults, and the elderly. Although several reports about pediatric COVID-19 were seen in the literature, we believe that the epidemiology and pathology of the infection described in these reports are not conclusive. Therefore, in this scientific communication, a narrative review study was performed to shed some light on the characteristic epidemiological features and clinical phenotypes of pediatric COVID-19. In this report, we had compiled and presented the different epidemiological features of the disease related to the age of infection, virus acquisition, explanations of the low infectivity rates, and consequences of infections. The discriminatory clinical manifestations of the disease in children were also addressed and discussed in this review. The search included the data published from the date of the start of the pandemic in December 2019 up to October 2020. Our literature search revealed that children of all ages, including neonates, had been infected by the virus. Despite the fact that pediatric COVID-19 is less common to occur, as compared to the disease in adults, the infected children usually manifest the disease symptomatology in benign form. Asymptomatic and symptomatic adult patients are the primary source of the virus to the children. Intrauterine transmission of the virus and breastfeeding infections to the neonates were hypothesized in some studies but ruled out since they were not confirmed. Intensive review and discussion warranting the low infection rates and benign conditions of COVID-19 in children were also made in this study. As documented in many studies, the infectivity, morbidity, and mortality rates of the disease among the children populations are much lower than those in adults. They also seem to be lower than those observed during SARS-CoV and MERS-CoV epidemics. The described clinical phenotypes of COVID-19 in children do not differ much from those of adults, and complications of the disease seem to be associated with comorbidities.

A Comparison of Four Serum Markers of Fibrosis in the Diagnosis of Cirrhosis

1997 ◽  
Vol 34 (2) ◽  
pp. 151-155 ◽  
Author(s):  
Carlo Fabris ◽  
Edmondo Falleti ◽  
Edda Federico ◽  
Pierluigi Toniutto ◽  
Mario Pirisi
Keyword(s):  
Alcohol Intake ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Serum Markers ◽  
Collagen Iv ◽  
Prolyl Hydroxylase ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Mean Values ◽  
Procollagen Iii

C-terminal peptide of procollagen I, N-terminal peptide of procollagen III, collagen IV and serum prolyl hydroxylase were measured in 100 patients with cirrhosis and 71 patients with noncirrhotic chronic liver disease. Patients with cirrhosis had significantly higher mean values of prolyl hydroxylase, collagen IV, N-terminal peptide of procollagen III and C-terminal peptide of procollagen I as compared to noncirrhotic patients. This difference was maintained for collagen products even after stratification for alcohol intake, although all markers of fibrosis were higher in alcoholics. Stepwise logistic regression analysis showed that collagen IV, and N-terminal peptide of procollagen III were independently associated with cirrhosis. Receiver-operating characteristic (ROC) curves showed that collagen IV and N-terminal peptide of procollagen III perform more efficiently than C-terminal peptide of procollagen I and prolyl hydroxylase in identifying cirrhosis.

scholarly journals Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

2020 ◽  
Vol 17 (23) ◽  
pp. 8903
Author(s):  
Kwang Sun Ryu ◽  
Ha Ye Jin Kang ◽  
Sang Won Lee ◽  
Hyun Woo Park ◽  
Na Young You ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
National Health ◽  
Validation Cohort ◽  
Undiagnosed Diabetes ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Family History Of Diabetes ◽  
Screening Model ◽  
History Of

A screening model for estimating undiagnosed diabetes mellitus (UDM) is important for early medical care. There is minimal research and a serious lack of screening models for people with a family history of diabetes (FHD), especially one which incorporates gender characteristics. Therefore, the primary objective of our study was to develop a screening model for estimating UDM among people with FHD and enable its validation. We used data from the Korean National Health and Nutrition Examination Survey (KNHANES). KNAHNES (2010–2016) was used as a developmental cohort (n = 5939) and was then evaluated in a validation cohort (n = 1047) KNHANES (2017). We developed the screening model for UDM in male (SMM), female (SMF), and male and female combined (SMP) with FHD using backward stepwise logistic regression analysis. The SMM and SMF showed an appropriate performance (area under curve (AUC) = 76.2% and 77.9%) compared with SMP (AUC = 72.9%) in the validation cohort. Consequently, simple screening models were developed and validated, for the estimation of UDM among patients in the FHD group, which is expected to reduce the burden on the national health care system.

scholarly journals Epidemiological and clinical characteristics of bacteremic brucellosis

2020 ◽  
Vol 48 (7) ◽  
pp. 030006052093682
Author(s):  
Chunhua Qie ◽  
Junwen Cui ◽  
Yamin Liu ◽  
Ying Li ◽  
Hongzhang Wu ◽  
...  
Keyword(s):  
Medical Records ◽  
Operating Characteristic ◽  
Clinical Manifestations ◽  
Study Patient ◽  
Serological Markers ◽  
C Reactive Protein ◽  
Laboratory Findings ◽  
Reactive Protein ◽  
Epidemiological Features ◽  
Serum Crp

Objective To retrospectively investigate the epidemiological features, clinical manifestations and laboratory characteristics of bacteremic brucellosis. Methods Brucellosis patients admitted to our clinic from January 2015 to December 2017 were included in the study. Patient electronic medical records were reviewed for epidemiological features, clinical manifestations, and laboratory findings. Results A total of 132 brucellosis patients were analyzed (64 cases with bacteremic brucellosis and 68 cases with nonbacteremic brucellosis). The median duration from exposure to onset of symptoms was 6.9 weeks (range: 1 day to 32 weeks) and 21.9 weeks (range: 1–76 weeks) in patients with bacteremic and nonbacteremic brucellosis, respectively. More bacteremic than nonbacteremic patients presented with fever and chills. Arthritis was observed in 34 (25.8%) patients, and was more commonly observed in nonbacteremic patients. Using C-reactive protein (CRP) and procalcitonin (PCT) as serological markers, the areas under the receiving operating characteristic curves were 0.64 [95% confidence interval (CI): 0.54–0.73] and 0.61 (95% CI: 0.51–0.70), respectively, for distinguishing bacteremic from non-bacteremic brucellosis. Conclusion Fever and chills were frequently observed in bacteremic brucellosis patients, whereas arthritis was more common in nonbacteremic brucellosis patients. Serum CRP and PCT can be used as potential serological markers for diagnosing bacteremic brucellosis.

scholarly journals SAT-547 Aldosterone-Potassium Ratio Predicts Primary Aldosteronism Subtype

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Troy Puar ◽  
Wann Jia Loh ◽  
Dawn Shao Ting Lim ◽  
Meifen Zhang ◽  
Roger S Foo ◽  
...  
Keyword(s):  
Primary Aldosteronism ◽  
Prediction Models ◽  
Characteristic Curve ◽  
Multivariable Analysis ◽  
Predictive Ability ◽  
Cost Effective ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Bilateral Disease ◽  
Unilateral Disease

Abstract Objective Prediction models have been developed to predict either unilateral or bilateral primary aldosteronism, and these have not been validated externally. We aimed to develop a simplified score to predict both subtypes and validate this externally. Methods Our development cohort was taken from 165 patients who underwent adrenal vein sampling (AVS) in two Asian tertiary centres. Unilateral disease was determined using both AVS and post-operative outcome. Multivariable analysis was used to construct prediction models. We validated our tool in a European cohort of 97 patients enrolled in a clinical trial. Previously published prediction models were also tested in our cohorts. Results Backward stepwise logistic regression analysis yielded a final tool using baseline-aldosterone-to-lowest-potassium ratio (APR, ng/dL/mmol/L), with an area under receiver operating characteristic curve of 0.80 (95% CI: 0.70 - 0.89). In the Asian development cohort, probability of bilateral disease was 90.0% (with APR &lt;5) and probability of unilateral disease was 91.4% (with APR &gt;15). Similar results were seen in the European validation cohort. Combining both cohorts, probability of bilateral disease was 76.7% (with APR &lt;5), and probability for unilateral was 91.7% (with APR &gt;15). Other models had similar predictive ability but required more variables, and were less sensitive for identifying bilateral PA. Conclusion The novel aldosterone-potassium ratio (APR) is a convenient score to guide clinicians and patients of various ethnicities on the probability of PA subtype. Using APR to identify patients more likely to benefit from AVS may be a cost-effective strategy to manage this common condition.

A Chemical Perspective to the Anti-Amyloid Action of Compounds and a Nanoparticle Based Assay for Screening Amyloid Inhibitors

2020 ◽  
Author(s):  
Nidhi Gour ◽  
Bharti Koshti
Keyword(s):  
Memory Loss ◽  
Cost Effective ◽  
Structural Motif ◽  
Rapid Screening ◽  
Stacking Interactions ◽  
Aromatic Rings ◽  
Amyloid Fibers ◽  
Aromatic Stacking ◽  
Cost Effective Technique ◽  
The Brain

Aggregation of amyloid beeta 1-42 (Aβ<sub>42</sub>) peptide causes the formation of clustered deposits knows as amyloid plaques in the brain which leads to neuronal dysfunction and memory loss and associated with many neurological disorders including Alzheimer’s and Parkinson’s. Aβ<sub>42</sub> has core structural motif with phenylalanine at the 19 and 20 positions. The diphenylalanine (FF) residue plays a crucial role in the formation of amyloid fibers and serves as model peptide for studying Aβ<sub>42 </sub>aggregation. FF self-assembles to well-ordered tubular morphology via aromatic pi-pi stackings. Our studies, suggest that the aromatic rings present in the anti-amyloidogenic compounds may interact with the pi-pi stacking interactions present in the FF. Even the compounds which do not have aromatic rings, like cyclodextrin and cucurbituril show anti-amyloid property due to the binding of aromatic ring inside the guest cavity. Hence, our studies also suggest that compounds which may have a functional moiety capable of interacting with the aromatic stacking interactions might be tested for their anti-amyloidogenic properties. Further, in this manuscript, we have proposed two novel nanoparticle based assays for the rapid screening of amyloid inhibitors. In the first assay, interaction between biotin-tagged FF peptide and the streptavidin labelled gold nanoparticles (s-AuNPs) were used. In another assay, thiol-Au interactions were used to develop an assay for detection of amyloid inhibitors. It is envisaged that the proposed analytical method will provide a simple, facile and cost effective technique for the screening of amyloid inhibitors and may be of immense practical implications to find the therapeutic remedies for the diseases associated with the protein aggregation.

The Use of Total Contact Orthoses in Patients with Foot Problems in Foot Clinic, Siriraj Hospital

2020 ◽  
Vol 103 (12) ◽  
pp. 1292-1299
Keyword(s):  
Odds Ratio ◽  
Univariate Analysis ◽  
Stepwise Logistic Regression ◽  
Posterior Tibial Tendon ◽  
Posterior Tibial Tendon Dysfunction ◽  
Stepwise Logistic Regression Analysis ◽  
Cross Sectional ◽  
Siriraj Hospital ◽  
Foot Problems ◽  
Foot Clinic

Objective: To study the use rate, outcome, and concomitant factors of the use of the total contact orthoses (TCO) in the Foot Clinic, Siriraj Hospital Materials and Methods: The present study was a cross-sectional descriptive study collecting data from patient medical records and questionnaires. Patients who had foot problems without impairment of foot sensation and received the TCO from the Foot Clinic between July 2015 and April 2016 were interviewed before and after using the latest TCO for one month. Results: One hundred seven participants were recruited. Most were female (84.1%) with a median age of 59.3 years. The majority had chronic plantar fasciitis (26.2%), posterior tibial tendon dysfunction (PTTD) (25.2%), hallux valgus (21.5%), or metatarsalgia (21.5%). The TCO user was defined as a participant who had to use the TCO for more than three days per week and for more or equal to 50% of daily walking and standing duration. The use rate was 67.3%. The TCO provides standing and walking stability (p=0.008). For patients with metatarsalgia, using the TCO could significantly reduce pain (p=0.002). Using univariate analysis, many factors were found to be associated with the use of the TCO including having level of convenience of putting on or taking off shoes with TCO at 9 or more (odds ratio 2.66, 95% CI 1.16 to 6.12), having difficulty to find proper shoes that fit with the TCO (odds ratio 0.36, 95% CI 0.15 to 0.89), receiving more than one pair of TCO (odds ratio 4.09, 95% CI 1.51 to 11.05), and having level of comfort satisfaction during the TCO use at 9 or more (odds ratio 3.61, 95% CI 1.55 to 8.40). The latter two factors were found to be associated with the use of the TCO from stepwise logistic regression analysis (adjusted odds ratio 3.39, 95% CI 1.18 to 9.71 and 3.02, 95% CI 1.07 to 8.47, respectively). Conclusion: The use of the TCO in the Foot Clinic, Siriraj Hospital was 67.3%. Using the TCO could promote walking stability. Factors affecting the use of the TCO included receiving more than the first pair of TCO and having comfort satisfaction level of 9 or more. Keywords: Use, Total contact orthoses, Total contact insole, Foot problems

scholarly journals Novel Regeneration Approach for Creating Reusable FO-SPR Probes with NTA Surface Chemistry

Nanomaterials ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 186
Author(s):  
Jia-Huan Qu ◽  
Karen Leirs ◽  
Remei Escudero ◽  
Žiga Strmšek ◽  
Roman Jerala ◽  
...  
Keyword(s):  
Surface Chemistry ◽  
Fluorescent Protein ◽  
Cost Effective ◽  
Nitrilotriacetic Acid ◽  
Antibody Fragments ◽  
Rapid Screening ◽  
Red Fluorescent Protein ◽  
Effective Manner ◽  
Surface Regeneration ◽  
Sensitivity Specificity

To date, surface plasmon resonance (SPR) biosensors have been exploited in numerous different contexts while continuously pushing boundaries in terms of improved sensitivity, specificity, portability and reusability. The latter has attracted attention as a viable alternative to disposable biosensors, also offering prospects for rapid screening of biomolecules or biomolecular interactions. In this context here, we developed an approach to successfully regenerate a fiber-optic (FO)-SPR surface when utilizing cobalt (II)-nitrilotriacetic acid (NTA) surface chemistry. To achieve this, we tested multiple regeneration conditions that can disrupt the NTA chelate on a surface fully saturated with His6-tagged antibody fragments (scFv-33H1F7) over ten regeneration cycles. The best surface regeneration was obtained when combining 100 mM EDTA, 500 mM imidazole and 0.5% SDS at pH 8.0 for 1 min with shaking at 150 rpm followed by washing with 0.5 M NaOH for 3 min. The true versatility of the established approach was proven by regenerating the NTA surface for ten cycles with three other model system bioreceptors, different in their size and structure: His6-tagged SARS-CoV-2 spike fragment (receptor binding domain, RBD), a red fluorescent protein (RFP) and protein origami carrying 4 RFPs (Tet12SN-RRRR). Enabling the removal of His6-tagged bioreceptors from NTA surfaces in a fast and cost-effective manner can have broad applications, spanning from the development of biosensors and various biopharmaceutical analyses to the synthesis of novel biomaterials.

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