Evidence map›Paper›PMID 33463683›Full record

ArticleThe Journal of antimicrobial chemotherapy2021

Exclusion of bacterial co-infection in COVID-19 using baseline inflammatory markers and their response to antibiotics.

Claire Y Mason, Tanmay Kanitkar, Charlotte J Richardson, Marisa Lanzman, Zak Stone, Tabitha Mahungu, Damien Mack, Emmanuel Q Wey, Lucy Lamb, Indran Balakrishnan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 49 citations in OpenAlex.

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  16. COVID-19 and antimicrobial stewardship: lessons learned, best practices, and future implications.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Claire Y MasonDepartment of Infection, Royal Free London NHS Trust, London, UK.
Tanmay KanitkarDepartment of Infection, Royal Free London NHS Trust, London, UK.
Charlotte J RichardsonDepartment of Infection, Royal Free London NHS Trust, London, UK.
Marisa LanzmanDepartment of Pharmacy, Royal Free London NHS Trust, London, UK.
Zak StoneDepartment of Pharmacy, Royal Free London NHS Trust, London, UK.
Tabitha MahunguDepartment of Infection, Royal Free London NHS Trust, London, UK.
Damien MackDepartment of Infection, Royal Free London NHS Trust, London, UK.
Emmanuel Q WeyDepartment of Infection, Royal Free London NHS Trust, London, UK.
Lucy LambDepartment of Infection, Royal Free London NHS Trust, London, UK.
Indran BalakrishnanDepartment of Infection, Royal Free London NHS Trust, London, UK.
Gabriele PollaraDepartment of Infection, Royal Free London NHS Trust, London, UK.
Royal Free London NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-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.

methodsRetrospective 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.

resultsWe 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.

conclusionsWe 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.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsBiomarkersCoinfectionCommunity-Acquired InfectionsCOVID-19C-Reactive ProteinDiagnosis, DifferentialFemaleHumansInflammationLeukocyte CountMaleAnti-Bacterial AgentsBiomarkersC-Reactive Protein

Identifiers

PMID33463683
PMCPMC7928909
OpenAlexW3124834214

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.