LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 2 of total 2

Search options

  1. Article ; Online: Exclusion of bacterial co-infection in COVID-19 using baseline inflammatory markers and their response to antibiotics.

    Mason, Claire Y / Kanitkar, Tanmay / Richardson, Charlotte J / Lanzman, Marisa / Stone, Zak / Mahungu, Tabitha / Mack, Damien / Wey, Emmanuel Q / Lamb, Lucy / Balakrishnan, Indran / Pollara, Gabriele

    The Journal of antimicrobial chemotherapy

    2020  Volume 76, Issue 5, Page(s) 1323–1331

    Abstract: ... their response to antibiotic therapy could distinguish bacterial co-infection from COVID-19.: Methods ... that occur in bacterial pulmonary infections, testing the hypothesis that baseline inflammatory markers and ... of both elevated baseline WCC and antibiotic-related decrease in CRP can exclude bacterial co-infection and ...

    Abstract Background: COVID-19 is infrequently complicated by bacterial co-infection, but antibiotic prescriptions are common. We used community-acquired pneumonia (CAP) as a benchmark to define the processes that occur in bacterial pulmonary infections, testing the hypothesis that baseline inflammatory markers and their response to antibiotic therapy could distinguish bacterial co-infection from COVID-19.
    Methods: Retrospective cohort study of CAP (lobar consolidation on chest radiograph) and COVID-19 (PCR detection of SARS-CoV-2) patients admitted to Royal Free Hospital (RFH) and Barnet Hospital (BH), serving as independent discovery and validation cohorts. All CAP and >90% COVID-19 patients received antibiotics on hospital admission.
    Results: We identified 106 CAP and 619 COVID-19 patients at RFH. Compared with COVID-19, CAP was characterized by elevated baseline white cell count (WCC) [median 12.48 (IQR 8.2-15.3) versus 6.78 (IQR 5.2-9.5) ×106 cells/mL, P < 0.0001], C-reactive protein (CRP) [median 133.5 (IQR 65-221) versus 86.0 (IQR 42-160) mg/L, P < 0.0001], and greater reduction in CRP 48-72 h into admission [median ΔCRP -33 (IQR -112 to +3.5) versus +14 (IQR -15.5 to +70.5) mg/L, P < 0.0001]. These observations were recapitulated in the independent validation cohort at BH (169 CAP and 181 COVID-19 patients). A multivariate logistic regression model incorporating WCC and ΔCRP discriminated CAP from COVID-19 with AUC 0.88 (95% CI 0.83-0.94). Baseline WCC >8.2 × 106 cells/mL or falling CRP identified 94% of CAP cases, and excluded bacterial co-infection in 46% of COVID-19 patients.
    Conclusions: We propose that in COVID-19, absence of both elevated baseline WCC and antibiotic-related decrease in CRP can exclude bacterial co-infection and facilitate antibiotic stewardship efforts.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Anti-Bacterial Agents/therapeutic use ; Biomarkers/blood ; C-Reactive Protein/analysis ; COVID-19/complications ; Coinfection/diagnosis ; Community-Acquired Infections/diagnosis ; Diagnosis, Differential ; Female ; Humans ; Inflammation ; Leukocyte Count ; Male ; Middle Aged ; Pneumonia, Bacterial/diagnosis ; Retrospective Studies ; Young Adult
    Chemical Substances Anti-Bacterial Agents ; Biomarkers ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2020-09-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 191709-2
    ISSN 1460-2091 ; 0305-7453
    ISSN (online) 1460-2091
    ISSN 0305-7453
    DOI 10.1093/jac/dkaa563
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Exclusion of bacterial co-infection in COVID-19 using baseline inflammatory markers and their response to antibiotics

    Mason, Claire Y / Kanitkar, Tanmay / Richardson, Charlotte J / Lanzman, Marisa / Stone, Zak / Mahungu, Tabitha / Mack, Damien / Wey, Emmanuel Q / Lamb, Lucy / Balakrishnan, Indran / Pollara, Gabriele

    Abstract: ... inflammatory markers and their response to antibiotic therapy could distinguish CAP from COVID-19. MethodsIn ... admission identified 95% of CAP cases, and predicted the absence of bacterial co-infection in 45% of COVID ... laboratory investigations. ResultsOn admission all CAP and >90% COVID-19 patients received antibiotics ...

    Abstract BackgroundCOVID-19 is infrequently complicated by secondary bacterial infection, but nevertheless antibiotic prescriptions are common. We used community-acquired pneumonia (CAP) as a benchmark to define the processes that occur in a bacterial pulmonary infection, and tested the hypothesis that baseline inflammatory markers and their response to antibiotic therapy could distinguish CAP from COVID-19. MethodsIn patients admitted to Royal Free Hospital (RFH) and Barnet Hospital (BH) we defined CAP by lobar consolidation on chest radiograph, and COVID-19 by SARS-CoV-2 detection by PCR. Data were derived from routine laboratory investigations. ResultsOn admission all CAP and >90% COVID-19 patients received antibiotics. We identified 106 CAP and 619 COVID-19 patients at RFH. CAP was characterised by elevated white cell count (WCC) and C-reactive protein (CRP) compared to COVID-19 (median WCC 12.48 (IQR 8.2-15.3) vs 6.78 (IQR 5.2-9.5) x106 cells/ml and median CRP CRP 133.5 (IQR 65-221) vs 86 (IQR 42-160) mg/L). Blood samples collected 48-72 hours into admission revealed decreasing CRP in CAP but not COVID-19 (CRP difference -33 (IQR -112 to +3.5) vs +15 (IQR -15 to +70) mg/L respectively). In the independent validation cohort (BH) consisting of 169 CAP and 181 COVID-19 patients, admission WCC >8.2x106 cells/ml or falling CRP during admission identified 95% of CAP cases, and predicted the absence of bacterial co-infection in 45% of COVID-19 patients. ConclusionsWe propose that in COVID-19 the absence of both elevated baseline WCC and antibiotic-related decrease in CRP can exclude bacterial co-infection and facilitate antibiotic stewardship efforts.
    Keywords covid19
    Publisher WHO
    Document type Article ; Online
    Note WHO #Covidence: #20199778
    DOI 10.1101/2020.10.09.20199778
    Database COVID19

    Kategorien

To top