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  1. Article ; Online: Non-invasive saliva specimens for the diagnosis of COVID-19: caution in mild outpatient cohorts with low prevalence.

    Skolimowska, Keira / Rayment, Michael / Jones, Rachael / Madona, Pinglawathee / Moore, Luke S P / Randell, Paul

    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

    2020  Volume 26, Issue 12, Page(s) 1711–1713

    MeSH term(s) Acute Disease ; Adult ; COVID-19/diagnosis ; COVID-19 Nucleic Acid Testing ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Oropharynx/virology ; Outpatients/statistics & numerical data ; Predictive Value of Tests ; Prevalence ; Prospective Studies ; SARS-CoV-2 ; Saliva/virology ; Sensitivity and Specificity ; United Kingdom ; Viral Load
    Keywords covid19
    Language English
    Publishing date 2020-07-18
    Publishing country England
    Document type Letter
    ZDB-ID 1328418-6
    ISSN 1469-0691 ; 1470-9465 ; 1198-743X
    ISSN (online) 1469-0691
    ISSN 1470-9465 ; 1198-743X
    DOI 10.1016/j.cmi.2020.07.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Reply to Dudoignon et al.

    Rawson, Timothy M / Moore, Luke S P / Zhu, Nina / Ranganathan, Nishanthy / Skolimowska, Keira / Gilchrist, Mark / Satta, Giovanni / Cooke, Graham / Holmes, Alison

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2020  Volume 72, Issue 5, Page(s) 906–908

    MeSH term(s) Anti-Infective Agents ; COVID-19 ; Coinfection ; Coronavirus ; Humans ; SARS-CoV-2
    Chemical Substances Anti-Infective Agents
    Language English
    Publishing date 2020-06-16
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciaa767
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Non-invasive saliva specimens for the diagnosis of COVID-19: caution in mild outpatient cohorts with low prevalence

    Skolimowska, Keira / Rayment, Michael / Jones, Rachael / Madona, Pinglawathee / Moore, Luke S P / Randell, Paul

    Clin. microbiol. infect

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #653313
    Database COVID19

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  4. Article ; Online: Non-invasive saliva specimens for the diagnosis of COVID-19

    Skolimowska, Keira / Rayment, Michael / Jones, Rachael / Madona, Pinglawathee / Moore, Luke S.P. / Randell, Paul

    Clinical Microbiology and Infection ; ISSN 1198-743X

    caution in mild outpatient cohorts with low prevalence

    2020  

    Keywords Microbiology (medical) ; Infectious Diseases ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.1016/j.cmi.2020.07.015
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Bacterial and Fungal Coinfection in Individuals With Coronavirus: A Rapid Review To Support COVID-19 Antimicrobial Prescribing.

    Rawson, Timothy M / Moore, Luke S P / Zhu, Nina / Ranganathan, Nishanthy / Skolimowska, Keira / Gilchrist, Mark / Satta, Giovanni / Cooke, Graham / Holmes, Alison

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2020  Volume 71, Issue 9, Page(s) 2459–2468

    Abstract: Background: To explore and describe the current literature surrounding bacterial/fungal coinfection in patients with coronavirus infection.: Methods: MEDLINE, EMBASE, and Web of Science were searched using broad-based search criteria relating to ... ...

    Abstract Background: To explore and describe the current literature surrounding bacterial/fungal coinfection in patients with coronavirus infection.
    Methods: MEDLINE, EMBASE, and Web of Science were searched using broad-based search criteria relating to coronavirus and bacterial coinfection. Articles presenting clinical data for patients with coronavirus infection (defined as SARS-1, MERS, SARS-CoV-2, and other coronavirus) and bacterial/fungal coinfection reported in English, Mandarin, or Italian were included. Data describing bacterial/fungal coinfections, treatments, and outcomes were extracted. Secondary analysis of studies reporting antimicrobial prescribing in SARS-CoV-2 even in absence of coinfection was performed.
    Results: 1007 abstracts were identified. Eighteen full texts reporting bacterial/fungal coinfection were included. Most studies did not identify or report bacterial/fungal coinfection (85/140; 61%). Nine of 18 (50%) studies reported on COVID-19, 5/18 (28%) on SARS-1, 1/18 (6%) on MERS, and 3/18 (17%) on other coronaviruses. For COVID-19, 62/806 (8%) patients were reported as experiencing bacterial/fungal coinfection during hospital admission. Secondary analysis demonstrated wide use of broad-spectrum antibacterials, despite a paucity of evidence for bacterial coinfection. On secondary analysis, 1450/2010 (72%) of patients reported received antimicrobial therapy. No antimicrobial stewardship interventions were described. For non-COVID-19 cases, bacterial/fungal coinfection was reported in 89/815 (11%) of patients. Broad-spectrum antibiotic use was reported.
    Conclusions: Despite frequent prescription of broad-spectrum empirical antimicrobials in patients with coronavirus-associated respiratory infections, there is a paucity of data to support the association with respiratory bacterial/fungal coinfection. Generation of prospective evidence to support development of antimicrobial policy and appropriate stewardship interventions specific for the COVID-19 pandemic is urgently required.
    MeSH term(s) Anti-Infective Agents/therapeutic use ; Antimicrobial Stewardship ; Bacterial Infections/drug therapy ; Bacterial Infections/epidemiology ; Bacterial Infections/microbiology ; COVID-19/drug therapy ; COVID-19/epidemiology ; COVID-19/microbiology ; Coinfection/drug therapy ; Coinfection/epidemiology ; Coinfection/microbiology ; Drug Resistance, Microbial ; Humans ; Mycoses/drug therapy ; Mycoses/epidemiology ; Mycoses/microbiology ; SARS-CoV-2/drug effects
    Chemical Substances Anti-Infective Agents
    Keywords covid19
    Language English
    Publishing date 2020-04-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciaa530
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19.

    Rawson, Timothy M / Hernandez, Bernard / Wilson, Richard C / Ming, Damien / Herrero, Pau / Ranganathan, Nisha / Skolimowska, Keira / Gilchrist, Mark / Satta, Giovanni / Georgiou, Pantelis / Holmes, Alison H

    JAC-antimicrobial resistance

    2021  Volume 3, Issue 1, Page(s) dlab002

    Abstract: Background: Bacterial infection has been challenging to diagnose in patients with COVID-19. We developed and evaluated supervised machine learning algorithms to support the diagnosis of secondary bacterial infection in hospitalized patients during the ... ...

    Abstract Background: Bacterial infection has been challenging to diagnose in patients with COVID-19. We developed and evaluated supervised machine learning algorithms to support the diagnosis of secondary bacterial infection in hospitalized patients during the COVID-19 pandemic.
    Methods: Inpatient data at three London hospitals for the first COVD-19 wave in March and April 2020 were extracted. Demographic, blood test and microbiology data for individuals with and without SARS-CoV-2-positive PCR were obtained. A Gaussian Naive Bayes, Support Vector Machine (SVM) and Artificial Neural Network were trained and compared using the area under the receiver operating characteristic curve (AUCROC). The best performing algorithm (SVM with 21 blood test variables) was prospectively piloted in July 2020. AUCROC was calculated for the prediction of a positive microbiological sample within 48 h of admission.
    Results: A total of 15 599 daily blood profiles for 1186 individual patients were identified to train the algorithms; 771/1186 (65%) individuals were SARS-CoV-2 PCR positive. Clinically significant microbiology results were present for 166/1186 (14%) patients during admission. An SVM algorithm trained with 21 routine blood test variables and over 8000 individual profiles had the best performance. AUCROC was 0.913, sensitivity 0.801 and specificity 0.890. Prospective testing on 54 patients on admission (28/54, 52% SARS-CoV-2 PCR positive) demonstrated an AUCROC of 0.960 (95% CI: 0.90-1.00).
    Conclusions: An SVM using 21 routine blood test variables had excellent performance at inferring the likelihood of positive microbiology. Further prospective evaluation of the algorithms ability to support decision making for the diagnosis of bacterial infection in COVID-19 cohorts is underway.
    Language English
    Publishing date 2021-02-03
    Publishing country England
    Document type Journal Article
    ISSN 2632-1823
    ISSN (online) 2632-1823
    DOI 10.1093/jacamr/dlab002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Bacterial and fungal co-infection in individuals with coronavirus: A rapid review to support COVID-19 antimicrobial prescribing

    Rawson, Timothy M / Moore, Luke S P / Zhu, Nina / Ranganathan, Nishanthy / Skolimowska, Keira / Gilchrist, Mark / Satta, Giovanni / Cooke, Graham / Holmes, Alison

    Clin. infect. dis

    Abstract: BACKGROUND: To explore and describe the current literature surrounding bacterial/fungal co-infection in patients with coronavirus infection. METHODS: MEDLINE, EMBASE, and Web of Science were searched using broad based search criteria relating to ... ...

    Abstract BACKGROUND: To explore and describe the current literature surrounding bacterial/fungal co-infection in patients with coronavirus infection. METHODS: MEDLINE, EMBASE, and Web of Science were searched using broad based search criteria relating to coronavirus and bacterial co-infection. Articles presenting clinical data for patients with coronavirus infection (defined as SARS-1, MERS, SARS-COV-2, and other coronavirus) and bacterial/fungal co-infection reported in English, Mandarin, or Italian were included. Data describing bacterial/fungal co-infections, treatments, and outcomes were extracted. Secondary analysis of studies reporting antimicrobial prescribing in SARS-COV-2 even in the absence of co-infection was performed. RESULTS: 1007 abstracts were identified. Eighteen full texts reported bacterial/fungal co-infection were included. Most studies did not identify or report bacterial/fungal coinfection (85/140;61%). 9/18 (50%) studies reported on COVID-19, 5/18 (28%) SARS-1, 1/18 (6%) MERS, and 3/18 (17%) other coronavirus.For COVID-19, 62/806 (8%) patients were reported as experiencing bacterial/fungal co-infection during hospital admission. Secondary analysis demonstrated wide use of broad-spectrum antibacterials, despite a paucity of evidence for bacterial coinfection. On secondary analysis, 1450/2010 (72%) of patients reported received antimicrobial therapy. No antimicrobial stewardship interventions were described.For non-COVID-19 cases bacterial/fungal co-infection was reported in 89/815 (11%) of patients. Broad-spectrum antibiotic use was reported. CONCLUSIONS: Despite frequent prescription of broad-spectrum empirical antimicrobials in patients with coronavirus associated respiratory infections, there is a paucity of data to support the association with respiratory bacterial/fungal co-infection. Generation of prospective evidence to support development of antimicrobial policy and appropriate stewardship interventions specific for the COVID-19 pandemic are urgently required.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #154974
    Database COVID19

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  8. Article ; Online: Bacterial and Fungal Coinfection in Individuals With Coronavirus

    Rawson, Timothy M / Moore, Luke S P / Zhu, Nina / Ranganathan, Nishanthy / Skolimowska, Keira / Gilchrist, Mark / Satta, Giovanni / Cooke, Graham / Holmes, Alison

    Clinical Infectious Diseases ; ISSN 1058-4838 1537-6591

    A Rapid Review To Support COVID-19 Antimicrobial Prescribing

    2020  

    Abstract: Abstract Background To explore and describe the current literature surrounding bacterial/fungal coinfection in patients with coronavirus infection. Methods MEDLINE, EMBASE, and Web of Science were searched using broad-based search criteria relating to ... ...

    Abstract Abstract Background To explore and describe the current literature surrounding bacterial/fungal coinfection in patients with coronavirus infection. Methods MEDLINE, EMBASE, and Web of Science were searched using broad-based search criteria relating to coronavirus and bacterial coinfection. Articles presenting clinical data for patients with coronavirus infection (defined as SARS-1, MERS, SARS-CoV-2, and other coronavirus) and bacterial/fungal coinfection reported in English, Mandarin, or Italian were included. Data describing bacterial/fungal coinfections, treatments, and outcomes were extracted. Secondary analysis of studies reporting antimicrobial prescribing in SARS-CoV-2 even in absence of coinfection was performed. Results 1007 abstracts were identified. Eighteen full texts reporting bacterial/fungal coinfection were included. Most studies did not identify or report bacterial/fungal coinfection (85/140; 61%). Nine of 18 (50%) studies reported on COVID-19, 5/18 (28%) on SARS-1, 1/18 (6%) on MERS, and 3/18 (17%) on other coronaviruses. For COVID-19, 62/806 (8%) patients were reported as experiencing bacterial/fungal coinfection during hospital admission. Secondary analysis demonstrated wide use of broad-spectrum antibacterials, despite a paucity of evidence for bacterial coinfection. On secondary analysis, 1450/2010 (72%) of patients reported received antimicrobial therapy. No antimicrobial stewardship interventions were described. For non–COVID-19 cases, bacterial/fungal coinfection was reported in 89/815 (11%) of patients. Broad-spectrum antibiotic use was reported. Conclusions Despite frequent prescription of broad-spectrum empirical antimicrobials in patients with coronavirus-associated respiratory infections, there is a paucity of data to support the association with respiratory bacterial/fungal coinfection. Generation of prospective evidence to support development of antimicrobial policy and appropriate stewardship interventions specific for the COVID-19 pandemic is urgently required.
    Keywords Microbiology (medical) ; Infectious Diseases ; covid19
    Language English
    Publisher Oxford University Press (OUP)
    Publishing country uk
    Document type Article ; Online
    DOI 10.1093/cid/ciaa530
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Altered ratio of IFN-γ/IL-10 in patients with drug resistant Mycobacterium tuberculosis and HIV- Tuberculosis Immune Reconstitution Inflammatory Syndrome.

    Skolimowska, Keira H / Rangaka, Molebogeng X / Meintjes, Graeme / Pepper, Dominique J / Seldon, Ronnett / Matthews, Kerryn / Wilkinson, Robert J / Wilkinson, Katalin A

    PloS one

    2012  Volume 7, Issue 10, Page(s) e46481

    Abstract: We have described a clinical relationship between HIV-Tuberculosis Immune Reconstitution Inflammatory Syndrome (TB-IRIS) and anti-tubercular drug resistance. Here we studied the immune response of TB-IRIS patients from whom a drug-resistant (n = 11) or ... ...

    Abstract We have described a clinical relationship between HIV-Tuberculosis Immune Reconstitution Inflammatory Syndrome (TB-IRIS) and anti-tubercular drug resistance. Here we studied the immune response of TB-IRIS patients from whom a drug-resistant (n = 11) or drug-susceptible (n = 25) Mycobacterium tuberculosis (MTB) strain was isolated after presenting with TB-IRIS. ELISpot analysis and multiplex cytokine analysis of the supernatant collected from peripheral blood mononuclear cells stimulated overnight with the heat-killed H37Rv MTB laboratory strain was used. Although there was no statistical difference in IFN-gamma ELISpot responses between the two groups, the results point towards higher bacterial load in the drug-resistant patients, possibly due to failed therapy. The ratio between secreted IFN-gamma/IL-10 and IL-2/IL-10 was significantly lower in TB-IRIS patients in whom the cause of TB was a drug-resistant strain compared to those with a fully sensitive strain (p = 0.02). Since host immune responses are dependent on the bacterial load, we hypothesise that the impaired cytokine balance is likely to be caused by the poorly controlled bacterial growth in these patients.
    MeSH term(s) Adult ; Enzyme-Linked Immunosorbent Assay ; Female ; HIV Infections/blood ; Humans ; Immune Reconstitution Inflammatory Syndrome/blood ; Interferon-gamma/blood ; Interleukin-10/blood ; Male ; Tuberculosis, Multidrug-Resistant/blood
    Chemical Substances Interleukin-10 (130068-27-8) ; Interferon-gamma (82115-62-6)
    Language English
    Publishing date 2012-10-10
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0046481
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Assessing a novel, lab-free, point-of-care test for SARS-CoV-2 (CovidNudge): a diagnostic accuracy study.

    Gibani, Malick M / Toumazou, Christofer / Sohbati, Mohammadreza / Sahoo, Rashmita / Karvela, Maria / Hon, Tsz-Kin / De Mateo, Sara / Burdett, Alison / Leung, K Y Felice / Barnett, Jake / Orbeladze, Arman / Luan, Song / Pournias, Stavros / Sun, Jiayang / Flower, Barney / Bedzo-Nutakor, Judith / Amran, Maisarah / Quinlan, Rachael / Skolimowska, Keira /
    Herrera, Carolina / Rowan, Aileen / Badhan, Anjna / Klaber, Robert / Davies, Gary / Muir, David / Randell, Paul / Crook, Derrick / Taylor, Graham P / Barclay, Wendy / Mughal, Nabeela / Moore, Luke S P / Jeffery, Katie / Cooke, Graham S

    The Lancet. Microbe

    2020  Volume 1, Issue 7, Page(s) e300–e307

    Abstract: Background: Access to rapid diagnosis is key to the control and management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Laboratory RT-PCR testing is the current standard of care but usually requires a centralised laboratory and ... ...

    Abstract Background: Access to rapid diagnosis is key to the control and management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Laboratory RT-PCR testing is the current standard of care but usually requires a centralised laboratory and significant infrastructure. We describe our diagnostic accuracy assessment of a novel, rapid point-of-care real time RT-PCR CovidNudge test, which requires no laboratory handling or sample pre-processing.
    Methods: Between April and May, 2020, we obtained two nasopharyngeal swab samples from individuals in three hospitals in London and Oxford (UK). Samples were collected from three groups: self-referred health-care workers with suspected COVID-19; patients attending emergency departments with suspected COVID-19; and hospital inpatient admissions with or without suspected COVID-19. For the CovidNudge test, nasopharyngeal swabs were inserted directly into a cartridge which contains all reagents and components required for RT-PCR reactions, including multiple technical replicates of seven SARS-CoV-2 gene targets (
    Findings: We obtained 386 paired samples: 280 (73%) from self-referred health-care workers, 15 (4%) from patients in the emergency department, and 91 (23%) hospital inpatient admissions. Of the 386 paired samples, 67 tested positive on the CovidNudge point-of-care platform and 71 with standard laboratory RT-PCR. The overall sensitivity of the point-of-care test compared with laboratory-based testing was 94% (95% CI 86-98) with an overall specificity of 100% (99-100). The sensitivity of the test varied by group (self-referred healthcare workers 94% [95% CI 85-98]; patients in the emergency department 100% [48-100]; and hospital inpatient admissions 100% [29-100]). Specificity was consistent between groups (self-referred health-care workers 100% [95% CI 98-100]; patients in the emergency department 100% [69-100]; and hospital inpatient admissions 100% [96-100]). Point of care testing performance was similar during a period of high background prevalence of laboratory positive tests (25% [95% 20-31] in April, 2020) and low prevalence (3% [95% 1-9] in inpatient screening). Amplification of viral nucleocapsid (n1, n2, and n3) and envelope protein gene (e-gene) were most sensitive for detection of spiked SARS-CoV-2 RNA.
    Interpretation: The CovidNudge platform was a sensitive, specific, and rapid point of care test for the presence of SARS-CoV-2 without laboratory handling or sample pre-processing. The device, which has been implemented in UK hospitals since May, 2020, could enable rapid decisions for clinical care and testing programmes.
    Funding: National Institute of Health Research (NIHR) Imperial Biomedical Research Centre, NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Oxford University in partnership with Public Health England, NIHR Biomedical Research Centre Oxford, and DnaNudge.
    MeSH term(s) COVID-19/diagnosis ; Humans ; Point-of-Care Testing ; RNA, Viral/genetics ; SARS-CoV-2 ; Sensitivity and Specificity
    Chemical Substances RNA, Viral
    Keywords covid19
    Language English
    Publishing date 2020-09-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2666-5247
    ISSN (online) 2666-5247
    DOI 10.1016/S2666-5247(20)30121-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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