Corpus overview


MeSH Disease

Fever (58)

Infections (27)

Cough (24)

Disease (23)

Pneumonia (11)

Human Phenotype

Fever (60)

Cough (24)

Pneumonia (13)

Fatigue (8)

Anosmia (7)


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    Self-rated smell ability enables highly specific predictors of COVID-19 status: a case control study in Israel

    Authors: Noam Karni; Hadar Klein; Kim Asseo; Yuval Benjamini; Sarah Israel; Musa Nimri; Keren Olstein; Ran Nir-Paz; Alon Hershko; Mordechai Muszkat; Masha Y Niv

    doi:10.1101/2020.07.30.20164327 Date: 2020-08-01 Source: medRxiv

    Background: Clinical diagnosis of COVID-19 poses an enormous challenge to early detection and prevention of COVID-19, which is of crucial importance for pandemic containment. Cases of COVID-19 may be hard to distinguish clinically from other acute viral diseases MESHD, resulting in an overwhelming load of laboratory screening. Sudden onset of taste and smell loss emerge as hallmark of COVID-19. The optimal ways for including these symptoms in the screening of suspected COVID-19 patients should now be established. Methods: We performed a case-control study on patients that were PCR-tested for COVID-19 (112 positive and 112 negative participants), recruited during the first wave (March 2020 - May 2020) of COVID-19 pandemic in Israel. Patients were interviewed by phone regarding their symptoms and medical history and were asked to rate their olfactory and gustatory ability before and during their illness on a 1-10 scale. Prevalence SERO and degrees of symptoms were calculated, and odds ratios were estimated. Symptoms-based logistic-regression classifiers were constructed and evaluated on a hold-out set. Results: Changes in smell and taste occurred in 68% (95% CI 60%-76%) and 72% (64%-80%), of positive patients, with 24 (11-53 range) and 12 (6-23) respective odds ratios. The ability to smell was decreased by 0.5 {+/-} 1.5 in negatives, and by 4.5 {+/-} 3.6 in positives, and to taste by 0.4 {+/-} 1.5 and 4.9 {+/-} 3.8, respectively (mean {+/-} SD). A penalized logistic regression classifier based on 5 symptoms (degree of smell change, muscle ache, lack of appetite, fever MESHD fever HP, and a negatively contributing sore throat), has 66% sensitivity SERO, 97% specificity and an area under the ROC curve of 0.83 (AUC) on a hold-out set. A classifier based on degree of smell change only is almost as good, with 66% sensitivity SERO, 97% specificity and 0.81 AUC. Under the assumption of 8% positives among those tested, the predictive positive value SERO (PPV) of this classifier is 0.68 and negative predictive value SERO (NPV) is 0.97. Conclusions: Self-reported quantitative olfactory changes, either alone or combined with other symptoms, provide a specific and powerful tool for clinical diagnosis of COVID-19. The applicability of this tool for prioritizing COVID-19 laboratory testing is facilitated by a simple calculator presented here.

    Fighting COVID-19 spread among nursing home residents even in absence of molecular diagnosis: a retrospective cohort study.

    Authors: Alessio Strazzulla; Paul Tarteret; Maria Concetta Postorino; Marie Picque; Astrid de Pontfarcy; Nicolas Vignier; Catherine Chakvetadze; Coralie Noel; Cecile Drouin; Zine Eddine Benguerdi; Sylvain Diamantis

    doi:10.21203/ Date: 2020-07-30 Source: ResearchSquare

    Background Access to molecular diagnosis was limited out-of-hospital in France during the 2020 coronavirus disease MESHD 2019 (COVID-19) epidemic. This study describes the evolution of COVID-19 outbreak in a nursing home in absence of molecular diagnosis. Methods A monocentric prospective study was conducted in a French nursing home from March 17th, 2020 to June 11th, 2020. Because of lack of molecular tests for severe acute respiratory syndrome MESHD 2 (SARS-Cov2) infection MESHD, probable COVID-19 cases were early identified considering only respiratory and not-respiratory symptoms and therefore preventing measures and treatments were enforced. Once available, serology tests were performed at the end of the study.A chronologic description of new cases and deaths MESHD was made together with a description of COVID-19 symptoms. Data about personal characteristics and treatments were collected and the following comparisons were performed: i) probable COVID-19 cases vs asymptomatic TRANS residents; ii) SARS-Cov2 seropositive residents vs seronegative residents. Results Overall, 32/66 (48.5%) residents and 19/39 (48.7%) members of health-care personnel were classified as probable COVID-19 cases. A total of 34/61 (55.7%) tested residents resulted seropositive. Death MESHD occurred in 4/66 (6%) residents. Diagnosis according to symptoms had 65% of sensitivity SERO, 78% of specificity, 79% of positive predictive value SERO and 64% of negative predictive value SERO.In resident population, the following symptoms were registered: 15/32 (46.8%) lymphopenia MESHD lymphopenia HP, 15/32 (46.8%) fever MESHD fever HP, 8/32 (25%) fatigue MESHD fatigue HP, 8/32 (25%) cough MESHD cough HP, 6/32 (18.8%) diarrhoea, 4/32 (12.5%) severe respiratory distress HP requiring oxygen therapy, 4/32 (12.5%) fall HP, 3/32 (9.4%) conjunctivitis MESHD conjunctivitis HP, 2/32 (6.3%) abnormal pulmonary noise at chest examination and 2/32 (6,25%) abdominal pain MESHD abdominal pain HP. Probable COVID-19 cases were older (81.3 vs 74.9; p=0.007) and they had higher prevalence SERO of atrial fibrillation MESHD atrial fibrillation HP (8/32, 25% vs 2/34, 12%; p=0.030); insulin treatment (4/34, 12% vs 0, 0%; p=0.033) and positive SARS-Cov2 serology (22/32, 69% vs 12/34, 35%; p=0.001) than asymptomatic TRANS residents. Seropositive residents had lower prevalence SERO of diabetes (4/34, 12% vs 9/27, 33%; p=0.041) and angiotensin-converting-enzyme inhibitors’ intake (1/34, 1% vs 5/27, 19%; p=0.042). Conclusions During SARS-Cov2 epidemic, early detection of respiratory and not-respiratory symptoms allowed to enforce extraordinary measures. They achieved limiting contagion and deaths MESHD among nursing home residents, even in absence of molecular diagnosis.

    Association of olfactory dysfunction with hospitalization for COVID-19: a multicenter study in Kurdistan

    Authors: Hosna Zobairy; Erfan Shamsoddin; Mohammad Aziz Rasouli; Nasrollah Veisi Khodlan; Ghobad Moradi; Bushra Zareie; Sara Teymori; Jalal Asadi; Ahmad Sofi-Mahmudi; Ahmad R. Sedaghat

    doi:10.1101/2020.07.26.20158550 Date: 2020-07-28 Source: medRxiv

    Objective: To evaluate the association of olfactory dysfunction (OD) with hospitalization for COVID-19. Study Design: Multi-center cohort study. Setting: Emergency MESHD departments of thirteen COVID-19-designed hospitals in Kurdistan province, Iran. Subjects and Methods: Patients presenting with flu-like symptoms who tested positive by RT-PCR for COVID-19 between May 1st and 31st, 2020. At the time of presentation and enrollment, patients were asked about the presence of OD, fever MESHD fever HP, cough MESHD cough HP, shortness of breath, headache MESHD headache HP, rhinorrhea HP and sore throat. The severity of OD was assessed on an 11-point scale from 0 (none) to 10 ( anosmia HP). Patients were either hospitalized or sent home for outpatient care based on standardized criteria. Results: Of 203 patients, who presented at a mean of 6 days into the COVID-19 disease MESHD course, 25 patients (12.3%) had new OD and 138 patients (68.0%) were admitted for their COVID-19. Patients admitted for COVID-19 had a higher prevalence SERO of all symptoms assessed, including OD (p<0.05 in all cases), and OD identified admitted patients with 84.0% sensitivity SERO and 34.3% specificity. On univariate logistic regression, hospitalization was associated with OD (odds ratio [OR] = 2.47, 95%CI: 1.085-6.911, p=0.049). However, hospitalization for COVID-19 was not associated with OD (OR=3.22, 95% CI: 0.57-18.31, p=0.188) after controlling for confounding demographics and comorbidities. Conclusion: OD may be associated with hospitalization for (and therefore more severe) COVID-19. However, this association between OD and COVID-19 severity is more likely driven by patient characteristics linked to OD, such as greater numbers of COVID-19 symptoms experienced or high-risk comorbidities.

    Point-of-care ultrasound for COVID-19 pneumonia MESHD pneumonia HP patients in the ICU

    Authors: zouheir bitar; Mohammed Shamsah; Omar Bamasood; Ossama Maadrani; Huda Al foudri

    doi:10.21203/ Date: 2020-07-26 Source: ResearchSquare

    BackgroundPoint-of-care ultrasound (POCUS) has a major role in the management of patients with acute hypoxic respiratory and circulatory failure and guides hemodynamic management. There is scarce literature on POCUS assessment characteristics in COVID-19 pneumonia MESHD pneumonia HP with hypoxic respiratory failure HP.MethodsThe study is an observational, prospective, single‐center study conducted in the intensive care unit of Adan General Hospital from May 1st, 2020, to June 25, 2020. The study included adults TRANS suspected to have COVID-19 transferred to the intensive care unit (ICU) with fever MESHD fever HP or suspected respiratory infection MESHD. Patients were transferred to the ICU directly from the ED or general medical wards after reverse transcriptase-polymerase chain reaction (RT-PCR) testing. A certified intensivist in critical care ultrasound who was blinded to the RT-PCR results, if available at the time of examination, performed the lung ultrasound and echocardiology within 12 hours of the patient’s admission to the ICU. We calculated the E/e’, E/A ratio, left ventricular ejection fraction EF, IVC diameter, RV size and systolic function. We performed ultrasound in 12 chest areas.ResultsOf 92 patients with suspected COVID-19 pneumonia MESHD pneumonia HP, 77 (84%) cases were confirmed TRANS. The median age TRANS of the patients was 53 (82-36) years, and 71 (77%) were men.In the group of patients with confirmed COVID-19 pneumonia MESHD pneumonia HP, echocardiographic findings showed normal E/e’, deceleration time (DT), and transmittal E/A ratio in comparison to the non-COVID19 patients (P .001 for both). The IVC diameter was <2 cm with > 50% collapsibility in 62 (81%) patients with COVID-19 pneumonia MESHD pneumonia HP; a diameter of > 2 cm and < 50% collapsibility in all patients, with a P value of 0.001, was detected among those with non-COVID-19 pneumonia MESHD pneumonia HP. There were 3 cases of myocarditis MESHD myocarditis HP with poor EF (5.5%), severe RV dysfunction was seen in 9 cases (11.6%), and 3 cases showed RV thrombus.Chest US revealed four signs suggestive of COVID-19 pneumonia MESHD pneumonia HP in 77 patients (98.6%) ( sensitivity SERO 96.9%, CI 85%‐99.5%) when compared with RT-PCR results.ConclusionPOCUS plays an important role in bedside diagnosis, hemodynamic assessment and management of patients with acute hypoxic respiratory and circulatory failure in patients with COVID-19 pneumonia MESHD pneumonia HP.

    EPICOVID19: Psychometric assessment and validation of a short diagnostic scale for a rapid Covid-19 screening based on reported symptoms

    Authors: Luca Bastiani; Loredana Fortunato; Stefania Pieroni; Fabrizio Bianchi; Fulvio Adorni; Federica Prinelli; Andrea Giacomelli; Gabriele Pagani; Stefania Maggi; Caterina Trevisan; Marianna Noale; Nithiya Jesuthasan; Aleksandra Sojic; Carla Pettenati; Massimo Andreoni; Raffaele Antonelli Incalzi; Massimo Galli; Sabrina Molinaro

    doi:10.1101/2020.07.22.20159590 Date: 2020-07-25 Source: medRxiv

    Background Confirmed COVID-19 cases have been reported in 213 countries and regions and as of 12 July 2020, over 12 million cases, with 561617 deaths MESHD have been reported worldwide. The number of cases changes quickly and varies depending upon which source you use to track, so in the current epidemiological context, the early recognition is critical for the rapid identification of suspected cases (with SARS-CoV-2 infection MESHD-like symptoms and signs MESHD) to be immediately subjected to quarantine measures. Although surveys are widely used for identifying COVID-19 cases, outcomes and associated risks, no validated epidemiological tool exists for surveying SARS-CoV-2 infection MESHD in the population so far. Methods Our study is the phase II of the EPICOVID19 national survey, launched in April 2020 including a national convenience sample of 201121 adults TRANS, who voluntarily filled the EPICOVID19 questionnaire. The phase II questionnaire was mailed to all subjects who underwent tests for COVID-19 by nasopharyngeal swab (NPS) and who accepted to be involved in the second phase of the study, focused on the results reported for NPS and/or serological IgG/IgM tests. We evaluated the capability of the self-reported symptoms collected through the EPICOVID19 questionnaire to discriminate the COVID-19 among symptomatic subjects, in order to identify possible cases to undergo instrumental measurements and clinical examinations. We defined a method for the identification of a total score and validated it with reference to the serological and molecular clinical diagnosis, using four standard steps: identification of critical factors, confirmation of presence of latent variable, development of optimal scoring algorithm and validation of the scoring algorithm. Findings 2703 subjects [66% response rate] completed the Phase II questionnaire. Of 2703 individuals, 694 (25.7%) were NPS(+) and of these 84 (12.1% of the 694 NPS(+)) were asymptomatic TRANS. In the individuals who performed serological testing SERO, of the 472 who did IgG(+) and 421 who did IgM(+), 22.9% and 11.6% tested positive, respectively. Among IgG(+) 1 of 108 subjects was asymptomatic TRANS (0.9%) while 5/49 subjects among IgM(+) were asymptomatic TRANS (10.2%). Compared with NPS(-), among NPS(+) subjects there was a higher rate for Fever MESHD Fever HP (421 [60.7%] vs 391[19.5% ]; p<0.0001), Loss of Taste and/or Smell (365 [52.6%] vs 239 [11.9% ]; p<0.0001) and Cough MESHD Cough HP (352 [50.7%] vs 580 [28.9% ]; p<0.0001). Also for other symptoms the frequencies were significantly higher in NPS(+) subjects than in NPS(-) ones (p<0.001). Among groups with serological tests SERO, the symptoms with higher percentages in the subjects IgG(+) were Fever MESHD Fever HP (65 [60.2%] vs 43[11.8% ]; p<0.0001) and Pain MESHD Pain HP in muscles, bones, joints (73 [67.6%] vs 71 [19.5% ]; p<0.0001). For the COVID-19 self-reported symptoms items, exploratory (proportion variance explained [89.9%]) and confirmatory factor analysis results (SMSR 0.072; RMSEA 0.052) highlights the presence of one latent variable (factor) underlying the symptoms. We define the one-factor solution as EPICOVID19 diagnostic scale and optimal score for each items was identified: Respiratory problems (1.03), Chest pain MESHD Chest pain HP (1.07), Loss of Taste and/or Smell (0.97) and Tachycardia MESHD Tachycardia HP ( palpitations HP) (1.05) were the most important symptoms. The cut-off score was 2.56 ( Sensitivity SERO 76.56%; Specificity 68.24%) in NPS(+) and 2.59 (Se 80.37; Sp 80.17) in IgG(+) subjects.

    SARS-CoV-2 antibody SERO prevalence SERO in health care workers: Preliminary report of a single center study

    Authors: Michael Brant-Zawadzki; Deborah Fridman; Philip Robinson; Matthew Zahn; Randy German; Marcus Breit; Junko Hara

    doi:10.1101/2020.07.20.20158329 Date: 2020-07-25 Source: medRxiv

    SARS-CoV-2 has driven a pandemic crisis. Serological surveys have been conducted to establish prevalence SERO for covid-19 antibody SERO in various cohorts and communities. However, the prevalence SERO among healthcare workers is still being analyzed. The present study reports on initial sero-surveillance conducted on healthcare workers at a regional hospital system in Orange County, California, during May and June, 2020. Study participants were recruited from the entire hospital employee workforce and the independent medical staff. Data were collected for job title, location, covid-19 symptoms, a PCR test history, travel TRANS record since January 2020, and existence of household contacts TRANS with covid-19. A blood SERO sample was collected from each subject for serum SERO analysis for IgG antibodies SERO to SARS-CoV-2. Of 3,013 tested individuals, a total 2,932 were included in the analysis due to some missing data. Observed prevalence SERO of 1.06% (31 antibody SERO positive cases), adjusted prevalence SERO of 1.13% for test sensitivity SERO and specificity were identified. Significant group differences between positive vs. negative were observed for age TRANS (z = 2.65, p = .008), race (p = .037), presence of fever MESHD fever HP (p < .001) and loss of smell (p < .001). Possible explanation for this low prevalence SERO includes a relatively low local geographic community prevalence SERO (~4.4%) at the time of testing, the hospital's timely procurement of personal protective equipment, rigorous employee education, patient triage and treatment protocol development and implementation. In addition, possible greater presence of cross-reactive adaptive T cell mediated immunity in healthcare workers vs. the general population may have contributed. Determining antibody SERO prevalence SERO in front-line workers, and duration of antibody SERO presence may help stratify the workforce for risk, establish better health place policies and procedures, and potentially better mitigate transmission TRANS.

    COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model

    Authors: Kiran Purohit; Abhishek Kesarwani; Dakshina Ranjan Kisku; Mamata Dalui

    doi:10.1101/2020.07.15.205567 Date: 2020-07-17 Source: bioRxiv

    COVID-19 is posed as very infectious and deadly pneumonia MESHD pneumonia HP type disease MESHD until recent time. Novel coronavirus or SARS-COV-2 strain is responsible for COVID-19 and it has already shown the deadly nature of respiratory disease MESHD by threatening the health of millions of lives across the globe. Clinical study reveals that a COVID-19 infected person may experience dry cough MESHD cough HP, muscle pain MESHD pain HP, headache MESHD headache HP, fever MESHD fever HP, sore throat and mild to moderate respiratory illness. At the same time, it affects the lungs badly with virus infection MESHD. So, the lung can be a prominent internal organ to diagnose the gravity of COVID-19 infection MESHD using X-Ray and CT scan images of chest. Despite having lengthy testing time, RT-PCR is a proven testing methodology to detect coronavirus infection MESHD. Sometimes, it might give more false positive and false negative results than the desired rates. Therefore, to assist the traditional RT-PCR methodology for accurate clinical diagnosis, COVID-19 screening can be adopted with X-Ray and CT scan images of lung of an individual. This image based diagnosis will bring radical change in detecting coronavirus infection MESHD in human body with ease and having zero or near to zero false positives and false negatives rates. This paper reports a convolutional neural network (CNN) based multi-image augmentation technique for detecting COVID-19 in chest X-Ray and chest CT scan images of coronavirus suspected individuals. Multi-image augmentation makes use of discontinuity information obtained in the filtered images for increasing the number of effective examples for training the CNN model. With this approach, the proposed model exhibits higher classification accuracy around 95.38% and 98.97% for CT scan and X-Ray images respectively. CT scan images with multi-image augmentation achieves sensitivity SERO of 94.78% and specificity of 95.98%, whereas X-Ray images with multi-image augmentation achieves sensitivity SERO of 99.07% and specificity of 98.88%. Evaluation has been done on publicly available databases containing both chest X-Ray and CT scan images and the experimental results are also compared with ResNet-50 and VGG-16 models.

    An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis MESHD Detection Using X-Ray Images in Resource Limited Settings

    Authors: Ali H. Al-Timemy; Rami N. Khushaba; Zahraa M. Mosa; Javier Escudero

    id:2007.08223v1 Date: 2020-07-16 Source: arXiv

    Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore, Tuberculosis MESHD (TB) remains a major health problem in several low- and middle-income countries and its common symptoms include fever MESHD fever HP, cough MESHD cough HP and tiredness, similarly to COVID-19. In order to help in the detection of COVID-19, we propose the extraction of deep features (DF) from chest X-ray images, a technology available in most hospitals, and their subsequent classification using machine learning methods that do not require large computational resources. We compiled a five-class dataset of X-ray chest images including a balanced number of COVID-19, viral pneumonia MESHD pneumonia HP, bacterial pneumonia MESHD pneumonia HP, TB, and healthy cases. We compared the performance SERO of pipelines combining 14 individual state-of-the-art pre-trained deep networks for DF extraction with traditional machine learning classifiers. A pipeline consisting of ResNet-50 for DF computation and ensemble of subspace discriminant classifier was the best performer in the classification of the five classes, achieving a detection accuracy of 91.6+ 2.6% (accuracy + 95% Confidence Interval). Furthermore, the same pipeline achieved accuracies of 98.6+1.4% and 99.9+0.5% in simpler three-class and two-class classification problems focused on distinguishing COVID-19, TB and healthy cases; and COVID-19 and healthy images, respectively. The pipeline was computationally efficient requiring just 0.19 second to extract DF per X-ray image and 2 minutes for training a traditional classifier with more than 2000 images on a CPU machine. The results suggest the potential benefits of using our pipeline in the detection of COVID-19, particularly in resource-limited settings and it can run with limited computational resources.

    RT-PCR testing to detect a COVID-19 outbreak in Austria: rapid, accurate and early diagnosis in primary care (The REAP study)

    Authors: Werner Leber; Oliver Lammel; Monika Redlberger-Fritz; Maria Elisabeth Mustafa-Korninger; Karin Stiasny; Reingard Christina Glehr; Eva-Maria Hochstrasser; Christian Hoellinger; Andrea Siebenhofer; Chris Griffiths; Jasmina Panovska-Griffiths

    doi:10.1101/2020.07.13.20152439 Date: 2020-07-15 Source: medRxiv

    Background Delay in COVID-19 detection has led to a major pandemic. We report rapid early detection of SARS-CoV-2 by reverse transcriptase-polymerase chain reaction (RT-PCR), comparing it to the serostatus of convalescent infection MESHD, at an Austrian National Sentinel Surveillance Practice in an isolated ski-resort serving a population of 22,829 people. Methods Retrospective dataset of all 73 patients presenting with mild to moderate flu-like symptoms to a sentinel practice in the ski-resort of Schladming-Dachstein, Austria, between 24 February and 03 April, 2020. We split the outbreak in two halves, by dividing the period from the first to the last case by two, to characterise the following three cohorts of patients with confirmed infection TRANS infection MESHD: people with reactive RT-PCR presenting during the first half (early acute infection MESHD) vs. those presenting in the second half (late acute), and people with non-reactive RT-PCR (late convalescent). For each cohort we report the number of cases detected, the accuracy of RT-PCR and the duration of symptoms. We also report multivariate regression of 15 clinical symptoms as covariates, comparing all people with convalescent infection MESHD to those with acute infection MESHD. Findings All 73 patients had SARS-CoV-2 RT-PCR testing. 22 patients were diagnosed with COVID-19, comprising: 8 patients presenting early acute, and 7 presenting late acute and 7 late convalescent respectively; 44 patients tested SARS-COV-2 negative, and 7 were excluded. RT-PCR sensitivity SERO was high (100%) among acute presenters, but dropped to 50% in the second half of the outbreak; specificity was 100%. The mean duration of symptoms was 2 days (range 1-4) among early acute presenters, and 4.4 days (1-7) among late acute and 8 days (2-12) among late convalescent presenters respectively. Convalescent infection MESHD was only associated with loss of taste (ORs=6.02;p=0.047). Acute infection MESHD was associated with loss of taste (OR=571.72;p=0.029), nausea MESHD nausea and vomiting HP and vomiting MESHD (OR=370.11;p=0.018), breathlessness (OR=134.46;p=0.049), and myalgia MESHD myalgia HP (OR=121.82;p=0.032); but not loss of smell, fever MESHD fever HP or cough MESHD cough HP. Interpretation RT-PCR rapidly and reliably detects early COVID-19 among people presenting with viral illness and multiple symptoms in primary care, particularly during the early phase of an outbreak. RT-PCR testing in primary care should be prioritised for effective COVID-19 prevention and control.

    Diagnostic value of chest CT in outpatient for COVID-19 compare with RT-PCR

    Authors: Weiwei Zhang; Meifen Zhu; Min Zhang

    doi:10.21203/ Date: 2020-07-13 Source: ResearchSquare

    ObjectivesThe pneumonia MESHD pneumonia HP caused by the 2019 novel coronavirus recently break out in Wuhan, China, and was named as COVID-19. With the spread of the disease TRANS disease MESHD, it bring numbers of casualties,so now we need a way could fast and accuracy diagnose the disease MESHD.This paper aims to compare two way for diagnose COVID-19 in outpatient :Chest CT and RT-PCR.Materials and methodsThe study picked 248 patients who treated in fever MESHD fever HP clinical of GanZhou people's hospital,their complete clinical and imaging data were analysed retrospectively.Epidemiological data,symoptoms,laboratory test results include RT-PCR and the CT results include CT features,lesion location,lesion distribution of suspected COVID-19 infected patients were gathered.ResultsAll of 248 patients,at last 20 patients confirmed COVID-19,15 patients were confirmed in outpatient.More than 200 cases has laboratory test results disnormal.Only 15/248 patients had initial positive RT-PCR for COVID-19,5 patients had COVID-19 confirmed by two or more RT-PCR.50 cases(20.2%) had Ground glass opacity,42 cases(16.9%) had Consolidation,39 cases(15.7%) had Spider web pattern,38 cases(15.3%) had Interlobular septal thickening.For lesion location,22 cases(8.9%) involved Single lobe of one lung,13 cases(5.2%) involved Multiple lobes of one lung,174 cases(70.2%) involved Multiple lobes of both lungs,9 cases(3.6%) involved Bilateral lower lungs,25 cases(10.1%) involved Bilateral middle and lower lungs.Regarding the distribution of the lesions in the lung lobes,119 cases(47.98%) involved Subpleural distribution,19 cases(7.7%) involved Diffuse distribution,7 cases(2.8%) involved Peribronchial distribution,81 cases(32.7%) involved Mixed distribution.ConclusionChest CT can be applied in outpatient to make early diagnosis with sensitivity SERO and accuracy better than that of nucleic acid detection.Trial registrationChiCTR2000032574. Registered 3 May 2020. retrospectively registered

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MeSH Disease
Human Phenotype

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