Corpus overview


Overview

MeSH Disease

Pneumonia (122)

Fever (100)

Coronavirus Infections (68)

Cough (63)

Dyspnea (42)


Human Phenotype

Cough (122)

Pneumonia (119)

Fever (110)

Fatigue (39)

Dyspnea (23)


Transmission

Seroprevalence
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    Association of Initial Symptoms or Comorbidities With Pneumonia HP Pneumonia MESHD Lesions in COVID-19 Patients: Based on Artificial Intelligence-Enabled CT Quantitation

    Authors: Fangzhengyuan Yuan; Chuan Liu; Jie Yang; Hu Tan; Shizhu Bian; Xubin Gao; Jihang Zhang; Mingdong Hu; Renzheng Chen; Yang Shen; Jingbin Ke; Yuanqi Yang; Chunyan He; Ran Cheng; Lan Huang

    doi:10.21203/rs.3.rs-78075/v1 Date: 2020-09-15 Source: ResearchSquare

    Background: Coronavirus disease 2019 (COVID-19) patients with a larger ratio of pneumonia HP pneumonia MESHD lesions are more likely to progress to acute respiratory distress syndrome MESHD respiratory distress HP syndrome and death MESHD. This study aimed to investigate the relationship of baseline parameters with pneumonia HP pneumonia MESHD lesions on admission, as quantified by an artificial intelligence (AI) algorithm using computed tomography (CT) images. Methods: This retrospective study quantitatively assessed lung lesions on CT using an AI algorithm in 1630 consecutive patients confirmed with COVID-19 on admission and classified the patients into none (0%), mild (>0–25%), intermediate (>25–50%), and severe (>50%) groups, according to the lesion ratio of the whole lung. A multivariate linear regression model was established to explore the relationship between the lesion ratio and laboratory parameters. The baseline parameters associated with lung lesions MESHD, including demographics, initial symptoms, and comorbidities, were determined using a multivariate ordinal regression model. Results: The 1630 patients confirmed with COVID-19 had a median whole lung lesion ratio of 4.1%, and the right lower lung lobe had the most lesions among the five lung lobes based on the evaluation of CT using AI algorithm. The whole lung lesion ratio was associated with the levels of plasma SERO fibrinogen (r=0.280, p<0.001), plasma SERO D-dimer (r=0.248, p<0.001), serum SERO α-hydroxybutyrate dehydrogenase (r=0.363, p<0.001), serum SERO albumin (r=-0.300, p<0.001), and peripheral blood SERO leukocyte count (r=0.194, p<0.001). Among the four patients groups categorised by whole lung lesion ratio, the highest frequency of cough HP (p<0.001) and shortness of breath MESHD (p<0.001) were found in the severe group, and the highest frequency of hypertension HP hypertension MESHD (p<0.001), diabetes MESHD (p<0.001) and anemia HP anemia MESHD (p=0.039) were observed in the intermediate group. Based on baseline ordinal regression analysis, cough HP (p=0.009), shortness of breath MESHD (p<0.001), hypertension HP hypertension MESHD (p=0.002), diabetes MESHD (p=0.005), and anemia HP anemia MESHD (p=0.006) were independent risk factors for more severe lung lesions MESHD. Conclusions: Based on AI-enabled CT quantitation, patients with initial symptoms of cough HP cough MESHD/ shortness of breath MESHD, or with comorbidities of hypertension HP hypertension MESHD, diabetes MESHD, or anemia HP anemia MESHD, had a higher risk for more severe lung lesions on admission in COVID-19 patients.

    Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia HP pneumonia MESHD: 2 an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-3 COVID-19.

    Authors: Manuel Rubio-Rivas; Xavier Corbella; Jose Maria Mora-Lujan; Jose Loureiro Amigo; Almudena Lopez Sampalo; Carmen Yera Bergua; Pedro Jesus Esteve Atienzar; Luis Felipe Diez Garcia; Ruth Gonzalez Ferrer; Susana Plaza Canteli; Antia Perez Pineiro; Begona Cortes Rodriguez; Leyre Jorquer Vidal; Ignacio Perez Catalan; Marta Leon Tellez; Jose Angel Martin Oterino; Maria Candelaria Martin Gonzalez; Jose Luis Serrano Carrillo de Albornoz; Eva Garcia Sardon; Jose Nicolas Alcala Pedrajas; Anabel Martin Urda Diez Canseco; Maria Jose Esteban Giner; Pablo Telleria Gomez; Ricardo Gomez Huelgas; Jose Manuel Ramos Rincon; Nina la Cour Freiesleben; Henriette Svarre Nielsen

    doi:10.1101/2020.09.14.20193995 Date: 2020-09-15 Source: medRxiv

    (1) Background: This study aims to identify different clinical phenotypes in COVID-19 88 pneumonia HP pneumonia MESHD using cluster analysis and to assess the prognostic impact among identified clusters in 89 such patients. (2) Methods: Cluster analysis including 11 phenotypic variables was performed in a 90 large cohort of 12,066 COVID-19 patients, collected and followed-up from March 1, to July 31, 2020, 91 from the nationwide Spanish SEMI-COVID-19 Registry. (3) Results: Of the total of 12,066 patients 92 included in the study, most were males TRANS (7,052, 58.5%) and Caucasian (10,635, 89.5%), with a mean 93 age TRANS at diagnosis of 67 years (SD 16). The main pre-admission comorbidities were arterial 94 hypertension HP hypertension MESHD (6,030, 50%), hyperlipidemia HP hyperlipidemia MESHD (4,741, 39.4%) and diabetes mellitus HP diabetes mellitus MESHD (2,309, 19.2%). The 95 average number of days from COVID-19 symptom onset TRANS to hospital admission was 6.7 days (SD 7). 96 The triad of fever HP fever MESHD, cough HP cough MESHD, and dyspnea HP dyspnea MESHD was present almost uniformly in all 4 clinical phenotypes 97 identified by clustering. Cluster C1 (8,737 patients, 72.4%) was the largest, and comprised patients 98 with the triad alone. Cluster C2 (1,196 patients, 9.9%) also presented with ageusia and anosmia MESHD anosmia HP; 99 cluster C3 (880 patients, 7.3%) also had arthromyalgia, headache HP headache MESHD, and sore throat; and cluster C4 100 (1,253 patients, 10.4%) also manifested with diarrhea HP diarrhea MESHD, vomiting HP vomiting MESHD, and abdominal pain HP abdominal pain MESHD. Compared to 101 each other, cluster C1 presented the highest in-hospital mortality (24.1% vs. 4.3% vs. 14.7% vs. 102 18.6%; p<0.001). The multivariate study identified phenotypic clusters as an independent factor for 103 in-hospital death. (4) Conclusion: The present study identified 4 phenotypic clusters in patients with 104 COVID-19 pneumonia HP pneumonia MESHD, which predicted the in-hospital prognosis of clinical outcomes.

    New onset of Myasthenia Gravis MESHD in a patient with COVID-19: A novel case report and literature review

    Authors: Shitiz Sriwastava; Medha Tandon; Saurabh Kataria; Maha Daimee; Shumaila Sultan

    doi:10.21203/rs.3.rs-77694/v1 Date: 2020-09-14 Source: ResearchSquare

    The novel coronavirus outbreak of SARS-CoV-2 first began in Wuhan, China in December, 2019. The most striking manifestation is atypical pneumonia HP pneumonia MESHD and respiratory complications MESHD, however various neurological manifestations are now well recognized. Currently, there have been a very few case reports in regards to COVID-19 in patients with known history of myasthenia gravis MESHD. Myasthenia gravis MESHD ( MG MESHD) causes muscle weakness HP muscle weakness MESHD, especially respiratory muscles in high-risk COVID-19 patients that can lead to severe respiratory compromise. There are few reported cases of severe myasthenia crisis MESHD following COVID-19, likely due to the involvement of the respiratory apparatus and from use of immunosuppressive medication. We report a first case MG MESHD developing secondary to COVID-19 infection MESHD in a 65-year-old woman. Two weeks prior to hospitalization, the patient suffered from cough HP, fever HP fever MESHD, diarrhea HP diarrhea MESHD and was found to be positive for COVID-19 via nasopharyngeal RT-PCR swab test. The electrodiagnostic test showed decremental response over more than 10% on repetitive nerve stimulation test of orbicularis oculi. She tested positive for antibodies SERO against Acetylcholine receptor (AchR).COVID-19 is known to cause release of inflammatory cytokines leading to immune-mediated damage. MG MESHD is an immune-mediated disorder caused due to molecular mimicry and autoantibodies against the neuromuscular junction. 

    Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia HP: A Retrospective Study of 173 Patients in Wuhan, China

    Authors: Yang Zhang; Jun Xue; Mi Yan; Jing Chen; Hai Liu; Shao-Bo Wang; Jian-Xing Luo; Fang Yang; Jian-Yuan Tang; Xiao-Yu Hu

    doi:10.21203/rs.3.rs-76134/v1 Date: 2020-09-11 Source: ResearchSquare

    Background: COVID-19 is a globally emerging infectious disease MESHD. As the global epidemic continues to spread, the risk of COVID-19 transmission TRANS and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia HP pneumonia MESHD from Wuhan. Methods: Patients with COVID-19 pneumonia HP pneumonia MESHD admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female TRANS. The mean age TRANS of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension HP hypertension MESHD (24.9%). The most common symptoms on admission were fever HP fever MESHD (67.6%) and cough HP (60.1%), digestive symptoms (22.0%) was also very common. Older age TRANS (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea HP diarrhea MESHD (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia HP lymphopenia MESHD (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age TRANS (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea HP diarrhea MESHD and lymphopenia HP lymphopenia MESHD need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia HP pneumonia MESHD. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

    Clinical Characteristics of Severe Covid Pneumonia HP: Exploring New Trends in ICU

    Authors: Aftab Akhtar; Sheher Bano; Ahtesham Iqbal; Moazma Ramzan; Aayesha Qadeer; Syed Waqar Hussain; Anam Saleem; Omair-ul-Haq Lodhi; Sana Zubair; Abdul Hameed kiani

    doi:10.21203/rs.3.rs-69224/v1 Date: 2020-08-31 Source: ResearchSquare

    Background: In late December 2019, Covid-19 emerged as clusters of pneumonia HP pneumonia MESHD of unknown cause in a province of china, Wuhan. Etiological agent was identified as novel coronavirus that resembles severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East Respiratory syndrome coronavirus (MERS-CoV) MESHD and has zoonotic transmission TRANS. Covid pneumonia HP can remain asymptomatic TRANS, present as mild infection, severe HP infection, severe MESHD pneumonia HP pneumonia MESHD or respiratory failure HP respiratory failure MESHD. Diagnosis is based on rRT-PCR carried out on respiratory secretions. Covid related mortality exceeds 50% once patient requires ICU admission. Objective: To study the characteristics of ICU population admitted to ICU of Shifa International hospital.Results: we prospectively analysed 74 patients which included 43.3% females TRANS and 56.7% males TRANS. Commonest symptoms were shortness of breath MESHD (94.5%), fever HP fever MESHD (74.3%) and cough HP (74.3%). Most of our study population consisted of non-smokers (79.7%) and had hypertension HP hypertension MESHD (59.4%) followed by diabetes MESHD (47.2%). Hydroxychloroquine (HCQ) and azithromycin combination is superior to hydroxychloroquine and doxycycline in reducing mortality (p=0.023) whereas Doxycycline alone resulted in increased mortality (p=0.009). Those who did not require antibiotics or required only narrow spectrum antibiotics had increased survival and reduced requirement of invasive mechanical ventilation (p=< 0.0001). in our study population, (44.9%) developed acute kidney injury HP acute kidney injury MESHD, 2.7% needed re-intubations 10.8% developed surgical emphysema HP emphysema MESHD and 2.7 % thromboembolic MESHD events despite full anticoagulation. ICU mortality was 41.8% and was higher in females TRANS (59.4%, p=0.008), those who had SOFA score > 3.5 at time of admission, raised D-Dimers > 931 ng/ml, NLR > 9.2. It was further high in those who required invasive mechanical ventilation and vasopressor support (58.1% mortality p=< 0.001). ICU stay was more prolonged in those requiring invasive mechanical ventilation as compared to those who did not. (23 days vs 6 days, p=0.001). Mean plateau pressure was 19.6 ± 7.6; mean Driving pressures 14.4 ± 4.6; mean PaO2/FiO2 150.7 ± 73.9; mean SPO2/FiO2 173.9 ± 106.9; mean PEEP was 8.2 ±4.33.Conclusion: We concluded that severe covid pneumonia HP pneumonia MESHD is common amongst males TRANS, non-smokers those who had comorbid. HCQ and azithromycin combination is superior to combination of HCQ and doxycycline or doxycycline alone and QT prolongation MESHD is a rare complication. Baseline NLR, APACHI II, SOFA, SAPS II, NUTRIC scores, D-Dimers, invasive ventilation and vasopressor support are important tools to predict ICU mortality. Invasive mechanical ventilation carries higher mortality and associated with more prolonged ICU stay. AKI is most common complication followed by shock HP and surgical emphysema HP emphysema MESHD. CRP, Ferritin levels has no impact on outcome.

    Clinical characteristics study of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in China

    Authors: Chao Zhang; Hua Fu; Long Zhang; Yuxiong Yin; Jing Lin; Hu Liu; Qing Mao

    doi:10.21203/rs.3.rs-67737/v1 Date: 2020-08-28 Source: ResearchSquare

    Background: Coronavirus disease 2019 (COVID-19), a newly emerged respiratory disease MESHD caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has recently become pandemic. Clinical observation indicated that elderly TRANS patients had high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. Therefore, this study was to clarify the characteristics of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in order to guide rational treatment for elderly TRANS patients. Methods: we enrolled 331 elderly TRANS patients aged TRANS 75 or older with confirmed COVID-19 in Huoshenshan hospital of Wuhan from February 3rd to March 31st. The cases were divided into general, serious and critical groups according to severity after hospitalization, and the difference among groups were compared by R package statistics software. Results: Compared with general group, serious and critical groups had more underlying comorbidities and higher incidence of cough HP cough MESHD, breath shortness MESHD and anorexia HP anorexia MESHD. Moreover, there existed obviously differences in many of laboratory indexes and CT images among them. serious and critical elderly TRANS patients were more likely to receive oxygen, mechanical ventilation, expectorant, corticosteroid, abidor, cephaloprin, imipenem, human serum SERO albumin (HSA), nutrition support, anti SARS-CoV-2 positive plasma SERO and actemra. Multivariate analysis of factors showed that male TRANS sex, hypertension HP hypertension MESHD, diabetes MESHD, renal diseases MESHD, breath shortness MESHD, neutrophil, platelet, creatinine, lactate dehydrogenase were the risk factor for serious and critical illness. While blood SERO cell (WBC) was the protective factor. Conclusion: elderly TRANS patients have high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. The reasons might be that many of the elderly TRANS patients with COVID-19 pneumonia HP pneumonia MESHD have certain chronic disease MESHD, poor immune function and a meager response to the virus. the pathogenic mechanism of SARS-CoV-2 might be involved in the cell-mediated immunity and cytokine storms by acting on lymphocytes.

    Artificial Intelligence Based Study on Analyzing of Habits and with History of Diseases MESHD of Patients for Prediction of Recurrence of Disease Due to COVID-19

    Authors: Samir Kumar Bandyopadhyay; Shawni Dutta

    id:10.20944/preprints202008.0542.v1 Date: 2020-08-25 Source: Preprints.org

    A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it can not be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male TRANS patient comes to a doctor with a symptom of fever HP fever MESHD and cough HP cough MESHD, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease MESHD or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19. This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease MESHD, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency MESHD, cardiovascular disease MESHD existence, pregnancy, asthma HP asthma MESHD, hypertension HP hypertension MESHD, pneumonia HP pneumonia MESHD; chronic renal disease MESHD may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed. A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).

    A Systematic Review on Coronavirus Disease MESHD 2019 (COVID-19)

    Authors: Hira Karim; Muhammad Shahzeb Khan

    id:10.20944/preprints202008.0516.v1 Date: 2020-08-24 Source: Preprints.org

    Emerging and reemerging pathogens is a global challenge for public health. Recently, a novel coronavirus disease MESHD emerged in Wuhan, Hubei province of China, in December 2019. It is named COVID-19 by World Health Organization (WHO). It is known to be caused by Severe Acute Respiratory Syndrome Coronavirus 2 MESHD (SARS-CoV-2) that affects the lower respiratory tract and manifests as pneumonia HP pneumonia MESHD in humans. Coronaviruses (CoVs) are structurally more complicated as compared to other RNA viruses. This viral epidemic has led to the deaths of many, including the elderly TRANS or those with chronic disease MESHD or compromised immunity. Viruses cause infection MESHD and diseases in humans of varying degrees, upper respiratory tract infections MESHD respiratory tract infections HP ( URTIs MESHD) cause common cold while lower respiratory tract infections HP induce pneumonia HP pneumonia MESHD, bronchitis HP bronchitis MESHD, and even severe acute respiratory syndrome MESHD (SARS). The costs of COVID-19 are not limited. It equally affects all the medical, sociological, psychological, and economic aspects globally. This is regarded as the third deadly outbreak in the last two decades after Severe Acute Respiratory Syndrome SARS MESHD (2002–2003) and Middle East Respiratory Syndrome MERS MESHD (2012). Based on the sequence homology of SARS-CoV-2, different animal sources including bats, snakes, and pangolins have been reported as potential carriers TRANS of this viral strain. Real-time RT-PCR represents the primary method for the diagnosis of new emerging viral strain SARS-CoV-2. The transmission TRANS dynamics suggest that SARS-CoV-2 is transmitted from person-to-person through direct contact or coughing HP, sneezing HP, and by respiratory droplets. Several anti-viral treatments including lopinavir/ritonavir, remdesivir, chloroquine phosphate, and abidor are also suggested with different recommendations and prescriptions. Protective and preventive strategies as suggested by various health organization i.e. WHO and US Center for Disease Control and Prevention (CDC) must be adopted by everyone. This review covers the important aspects of novel COVID-19 including characteristics, virology, symptoms, diagnostics, clinical aspects, transmission TRANS dynamics, and protective measures of COVID-19.

    Automatic analysis system of COVID-19 radiographic lung images (XrayCoviDetector)

    Authors: Juan Nicolas Schlotterbeck; Carlos E Montoya; Patricia Bitar; Jorge A Fuentes; Victor Dinamarca; Gonzalo M Rojas; Marcelo Galvez; Andreas Limmer; Jia Liu; Xin Zheng; Thorsten Brenner; Marc M. Berger; Oliver Witzke; Mirko Trilling; Mengji Lu; Dongliang Yang; Nina Babel; Timm Westhoff; Ulf Dittmer; Gennadiy Zelinskyy; Kelly M Schiabor Barrett; Stephen Riffle; Alexandre Bolze; Simon White; Francisco Tanudjaja; Xueqing Wang; Jimmy M Ramirez III; Yan Wei Lim; James T Lu; Nicole L Washington; Eco JC de Geus; Patrick Deelen; H Marike Boezen; Lude H Franke

    doi:10.1101/2020.08.20.20178723 Date: 2020-08-23 Source: medRxiv

    COVID-19 is a pandemic infectious disease MESHD caused by the SARS-CoV-2 virus, having reached more than 210 countries and territories. It produces symptoms such as fever HP fever MESHD, dry cough MESHD cough HP, dyspnea HP dyspnea MESHD, fatigue HP fatigue MESHD, pneumonia HP pneumonia MESHD, and radiological manifestations. The most common reported RX and CT findings include lung consolidation and ground-glass opacities. In this paper, we describe a machine learning-based system (XrayCoviDetector; www.covidetector.net), that detects automatically, the probability that a thorax radiological image includes COVID-19 lung patterns. XrayCoviDetector has an accuracy of 0.93, a sensitivity SERO of 0.96, and a specificity of 0.90.

    COVID-19: Exhaled virus detected by Face Mask Sampling provides new links to disease severity and potential infectivity.

    Authors: Caroline Williams; Daniel Pan; Jonathan Decker; Anika Wisniewska; Shirley Sze; Eve Fletcher; Richard Haigh; Mohamad Abdulwhhab; Paul Bird; Christopher Holmes; Alaa Al-Taie; Baber Saleem; Jingzhe Pan; Natalie Garton; Manish Pareek; Michael Barer; Craig J Smith; Stuart M Allan; Michelle M. Lister; Hannah C. Howson-Wells; Edward C Holmes; Matthew W. Loose; Jonathan K. Ball; C. Patrick McClure; - The COVID-19 Genomics UK consortium study group; Shi Chen

    doi:10.1101/2020.08.18.20176693 Date: 2020-08-21 Source: medRxiv

    Background Nasopharyngeal samples (NPS) are the mainstay of COVID-19 diagnosis. However, the extent to which assay signals relate to exhaled virus is unknown. We investigated the use of novel, non-invasive face-mask sampling (FMS) to detect exhaled SARS-CoV-2 RNA in two studies. Methods In an outbreak study (cohort 1), we performed FMS MESHD and NPS for 21 consecutive days after diagnosis on six healthcare workers who were screened positive for SARS-CoV-2. In a second hospitalised cohort (cohort 2), we performed FMS on 47 patients within 24 hours of a positive diagnosis. COVID-19 severity was graded according to WHO recommendations. Findings In cohort 1, SARS-COV-2 was detected by FMS in 10/40 (25%) samples (4/6 individuals), with no correlation between NPS and FMS RNA signals. All samples were negative by day 14 post diagnosis. Sustained FMS positivity with higher viral RNA signals showed a trend towards disease severity. In cohort 2, 19/47 (40%) individuals exhaled SARS-CoV-2 RNA extending over five orders of magnitude. FMS positive participants were older (positive: median age TRANS [IQR] 71 [61-84] vs negative: 61 [45-73], p=0.04) with more comorbidities (positive: 2 [1-3] vs negative: 1 [0-2], p<0.001) and have active cough HP (positive: 68% vs negative: 24%, p=0.003) and breathlessness (positive: 74% vs negative: 32%, p=0.005) during sampling, compared to FMS negative patients. Of five patients who were FMS positive and asymptomatic TRANS at time of sampling, two died of severe COVID-19 pneumonia HP pneumonia MESHD within one month of follow up. Interpretation FMS detects exhaled SARS-COV-2, with stronger signals in those who develop severe disease.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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