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MeSH Disease

Human Phenotype

Transmission

Seroprevalence
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    A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools MESHD

    Authors: Yanwei Fu; Feng Li; Wenxuan Wang; Haicheng Tang; Xuelin Qian; Mengwei Gu; Xiangyang Xue; Evangelos Terpos; Ioannis P. Trougakos; Andreas Mentis; Markos Marangos; George Panayiotakopoulos; Meletios A. Dimopoulos; Charalampos Gogos; Alexandros Spyridonidis; Leonidas G. Alexopoulos

    doi:10.1101/2020.09.03.20184226 Date: 2020-09-10 Source: medRxiv

    The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening system. The standard practices for rapid risk screening of COVID-19 are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 patients usually accompanied by ocular manifestations consistent with the conjunctivitis HP conjunctivitis MESHD, including conjunctival hyperemia HP hyperemia MESHD, chemosis HP chemosis MESHD, epiphora HP, or increased secretions. After more than four months study, we found that the confirmed cases TRANS of COVID-19 present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity SERO and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools MESHD

    Authors: Yanwei Fu; Feng Li; Wenxuan Wang; Haicheng Tang; Xuelin Qian; Mengwei Gu; Xiangyang Xue

    id:2009.03184v1 Date: 2020-09-04 Source: arXiv

    The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening system. The standard practices for rapid risk screening of COVID-19 are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 patients usually accompanied by ocular manifestations consistent with the conjunctivitis HP conjunctivitis MESHD, including conjunctival hyperemia HP hyperemia MESHD, chemosis HP chemosis MESHD, epiphora HP, or increased secretions. After more than four months study, we found that the confirmed cases TRANS of COVID-19 present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity SERO and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    Alarming Symptoms Leading To Severe COVID-19 Pneumonia HP: A Meta-Analysis

    Authors: Weiping Ji; Jing Zhang; Gautam Bishnu; Xudong Du; Xinxin Chen; Hui Xu; Xiaoling Guo; Zhenzhai Cai; Jun Zhang; Xian Shen

    doi:10.21203/rs.3.rs-35449/v1 Date: 2020-06-14 Source: ResearchSquare

    Background: To identify alarming symptoms that could potentially lead to severe form of COVID-19 pneumonia HP pneumonia MESHD (i.e. novel coronavirus pneumonia MESHD pneumonia HP: NCP), a disease that is now having pandemic spread.Methods: Articles from PubMed, Embase, Cochrane database and Google up to 24 February 2020 were systematically reviewed. 18 publications that had documented cases of COVID-19 pneumonia HP pneumonia MESHD were identified. The relevant data were extracted, systematically reviewed and further evaluated using meta-analysis. We define severe COVID-19 pneumonia HP pneumonia MESHD as the disease status that requires admission to the intensive care unit (ICU) and respiratory/circulatory support, which is in align with the guideline from the World Health Organization (WHO).Results: 14 studies including 1,424 patients were considered eligible and analyzed. Symptoms such as fever HP fever MESHD (89.2%), cough HP (67.2%), fatigue HP fatigue MESHD (43.6%) were quite common; but dizziness MESHD, hemoptysis HP, abdominal pain HP abdominal pain MESHD and conjunctival congestion/ conjunctivitis HP conjunctivitis MESHD were relatively rare. The incidence of dyspnea HP dyspnea MESHD was significantly higher in patients with severe than non-severe COVID-19 pneumonia HP pneumonia MESHD (42.7% vs.16.3%, p<0.0001). Similarly, fever HP fever MESHD and diarrhea HP diarrhea MESHD were also drastically more common in patients with severe form (p=0.0374 and 0.0267). Further meta-analysis using three high-quality China-based studies confirmed such findings and showed that dyspnea HP dyspnea MESHD, fever HP fever MESHD and diarrhea HP diarrhea MESHD were 3.53 (OR: 3.53, 95%CI: 1.95-6.38), 1.70 (OR: 1.70, 95%CI: 1.01-2.87), and 1.80 (OR: 1.80, 95%CI: 1.06-3.03) folds higher respectively in patients with severe COVID-19 pneumonia HP pneumonia MESHD.Conclusion: Dyspnea HP Dyspnea MESHD, fever HP and diarrhea HP diarrhea MESHD are significantly more prevalent in patients with severe COVID-19 pneumonia HP pneumonia MESHD, suggesting they are alarming symptoms that warrant close attention and timely management.

    A child TRANS confirmed COVID-19 with only symptoms of conjunctivitis HP conjunctivitis MESHD and eyelid dermatitis MESHD

    Authors: Ping Wu; liang liang; Jun Yang; ChunBao Chen; ShengQiong Nie

    doi:10.21203/rs.3.rs-22835/v1 Date: 2020-04-13 Source: ResearchSquare

    The outbreak of the 2019 novel  coronavirus disease MESHD (COVID-19) infection MESHD in China had quickly spread worldwide. Recent reports showed that conjunctivitis HP conjunctivitis MESHD symptoms were found in a small number of adult TRANS patients diagnosed with COVID-19. But rare children TRANS diagnosed with COVID-19 were reported to have eye symptoms. Our case showed a 2 years and 10 months old child confirmed COVID-19 had no symptoms other than  conjunctivitis MESHD and eyelid dermatitis MESHD, suggesting that doctors shouldn’t forget to conduct COVID-19 screening when children TRANS come to hospital for ocular surface symptoms during this epidemic period.

    Detection of Coronavirus in Simultaneously Collected Tear and Throat Swab Samples from the Patients with 2019- new Coronavirus Infection Disease MESHD: A Single Center Cross-sectional Study

    Authors: Ying Yan; Bo Zeng; Zhang Zhang; Cheng Hu; Ming Yan; Bixi Li; Xiaopeng Zhang; Xiao Chen

    doi:10.21203/rs.3.rs-21203/v1 Date: 2020-04-03 Source: ResearchSquare

    Objecive: This study aimed to evaluate whether the coronavirus can be detected in the tears in the eyes of 2019- novel coronavirus (2019-nCoV) infected MESHD patients and compa re the detection consistency of two simultaneously collected samples, from the tears and throat swabs, of these patients.Methods: A total of 35 diagnosis confirmed patients with  2019-nCoV infection disease MESHD,from January 26 to February 19, 2020, at central theater Wuhan general hospital of PLA, were included in this cross-sectional case series study. The diagnosis was confirmed by both clinical and laboratory ways. Throat samples from all enrolled patients were collected with sampling swab, and simultaneously ,tear samples were collected w ith sampling swab from 9 patients (No.1-9) and with Schirmer's strip from the remaining patients (No.10-35) (bilateral eyes for all patients). Sample collecting and testing were performed in three separate time points: first from patients No.1-9,second from p atients No.10-29,and third from patients No.30-35. Reverse-transcriptase-polymerase-chai n-reaction (RT-PCR) assay was performed by the same technician(Researcher Zhang), who was blind to the patients profile, within 4 hours after each collection.Results: Among enrolled patients, 29 (No.1-29) had mild or moderate clinical symptoms and 6 (No.30-35) had severe symptoms. The mean time interval from the sample collection day to diagnosis confirmation day was 9.71±6.50 days (ranged from 3 to 29 days). None of the patients had conjunctivitis HP conjunctivitis MESHD. Nineteen out of 35 (54.3%) throat samples presented positive Rt-PCR results. Three (no.13,21,31) out of 35 (8.6%) tear samples presented positive RT-PCR results. Two(no.21, 31) of these three patients   were throat swab positive and one (No. 13) was negative. The consistency analysis indicated that tears and throat samples showed poor consistency ( Kappa=-0.009, P=0.9 ).The cycle threshold value (Ct-value) of tears samples collected by sampling swab was significantly higher than that by Schirmer's strip(t=2.288, P=0.03).Conclusion: In spite of the low 2019-nCoV positive detection rate of tear samples from 2019-nCoV infected patients, we cannot fully rule out the transmission TRANS by ocular surface. Whether tear testing can be used as an aid in judging of 2019-nCoV infection need further investigation.Authors Ying Yan and Bo Zeng contributed equally to this study

    Ocular manifestations and clinical characteristics of 534 cases of COVID-19 in China: A cross-sectional study

    Authors: Liwen Chen; Chaohua Deng; Xuhui Chen; Xian Zhang; Bo Chen; Huimin Yu; Yuanjun Qin; Ke Xiao; Hong Zhang; Xufang Sun

    doi:10.1101/2020.03.12.20034678 Date: 2020-03-16 Source: medRxiv

    Objective: The novel coronavirus disease MESHD (COVID-19) was first reported in Wuhan, China in December 2019 and is now pandemic all over the world. Previous study has reported several COVID-19 cases with conjunctivitis HP conjunctivitis MESHD. However, the complete profiling of COVID-19 related ocular symptoms and diseases MESHD are still missing. We aim to investigate the ocular manifestations and clinical characteristics of COVID-19 patients. Methods: A total of five hundred and thirty-four patients were recruited at Mobile Cabin Hospital and Tongji Hospital. We collected information on demographic characteristics, exposure history, ocular symptoms, systemic concomitant symptoms, eye drop medication, eye protections, radiologic findings, and SARS-CoV-2 detection in nasopharyngeal swabs by RT-PCR from questionnaires and electronic medical records. Results: The median age TRANS of patients was 40 and 50 years at Mobile Cabin Hospital and Tongji Hospital, respectively. Of 534 COVID-19 patients, 25 patients (4.68%) presented with conjunctival congestion and 3 patients had conjunctival congestion as the initial symptom. The average duration of conjunctival congestion was 4.9 {+/-} 2.6 days (mean [SD]), ranging from 2 to 10 days. Dry eye (112, 20.97%), blurred vision HP blurred vision MESHD (68, 12.73%), and foreign body sensation (63, 11.80%) ranked as the top three COVID-19 related ocular symptoms. Notably, a total of 332 COVID-19 patients (62%) had a hand-eye contact history. We also found that some COVID-19 patients had a history of eye disease MESHD, including conjunctivitis HP conjunctivitis MESHD (33, 6.18%), dry eye MESHD (24, 4.49%), keratitis HP keratitis MESHD (14, 2.62%), cataract HP cataract MESHD (9, 1.69%), and diabetic retinopathy MESHD retinopathy HP (5, 0.94%). In consistent with previous studies, the most common clinical symptoms were fever HP fever MESHD, cough HP cough MESHD, and fatigue HP fatigue MESHD. Patients, 60.5% in Mobile Cabin Hospital and 67.5% in Tongji Hospital, respectively were confirmed with positive SARS-CoV-2 detection. Conclusions: Conjunctival congestion was one of the COVID-19 related ocular symptoms, which may have clinical diagnostic significance. It is essential to provide eye-care equipment and strengthen education on eye protection, as dirty hand-eye contact might be a high risk factor of COVID-19. Further detailed and comprehensive ophthalmological guidance is needed for COVID-19 control.

    Ophthalmologic evidence against the interpersonal transmission TRANS of 2019 novel coronavirus through conjunctiva

    Authors: Yunyun Zhou; Yuyang Zeng; Yongqing Tong; ChangZheng Chen

    doi:10.1101/2020.02.11.20021956 Date: 2020-02-12 Source: medRxiv

    Background: The emerging 2019 novel coronavirus (2019-nCoV) has pushed several countries into state of emergency all over the world. The possible transmission TRANS of 2019-nCoV by conjunctiva is controversial and has substantial public health implications. Methods: A retrospective cohort study was initiated to investigate the possible transmission TRANS of 2019-nCoV through aerosol contact with conjunctiva. We enrolled 67 cases of confirmed TRANS or suspected cases of novel coronavirus pneumonia MESHD pneumonia HP (NCP) during 17-28 Jan 2020. Nasopharyngeal and conjunctival swabs were collected for real time RT-PCR analysis to detect 2019-nCoV. Results: 63 patients were identified as laboratory-confirmed NCP and the remaining four were suspected NCP. Conjunctival swab samples from one NCP patient yielded positive PCR results and two NCP patients yielded probable positive PCR results. None of the three patients had ocular symptoms. The only one NCP patient with conjunctivitis HP conjunctivitis MESHD as the first symptom had negative conjunctival sac 2019-nCoV test. Conjunctival swab samples from the four suspected cases of NCIP were negative. Conclusion: 2019-nCoV can be detected in the conjunctival sac of patients with NCP. Through clinical analysis, viral transmission TRANS via the conjunctival route was not supported by the data. Good clinical protection can effectively cut off the transmission TRANS path.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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