Evidence map›Paper›PMID 33602859›Full record

ArticleThe European respiratory journal2021

Dynamics of SARS-CoV-2 shedding in the respiratory tract depends on the severity of disease in COVID-19 patients.

Dieter Munker, Andreas Osterman, Hans Stubbe, Maximilian Muenchhoff, Tobias Veit, Tobias Weinberger, Michaela Barnikel, Jan-Niclas Mumm, Katrin Milger, Elham Khatamzas and 14 more

Abstract read
In one paragraph

Article in The European respiratory journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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  11. SARS-CoV-2 viral load and shedding kinetics.Nature reviews. Microbiology · 2023
    Review
  12. Article
  13. Article
  14. Article
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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

24 authors.

Dieter MunkerDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-5471-578X
Andreas OstermanMax von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany.
Hans StubbeCOVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Maximilian MuenchhoffMax von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany.
Tobias VeitDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.
Tobias WeinbergerEmergency Dept, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Michaela BarnikelDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.
Jan-Niclas MummDept of Urology, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Katrin MilgerDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2914-8773
Elham KhatamzasCOVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Sarah KlaussDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Clemens SchererCOVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2816-6793
Johannes C HellmuthCOVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-8409-3037
Clemens Giessen-JungDept of Medicine 3, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Michael ZollerDept of Anaesthesiology, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Tobias HeroldDept of Medicine 3, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-9615-9432
Stephanie StecherDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Enrico N de ToniDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Christian SchulzDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Nikolaus KneidingerDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-7583-0453
Oliver T KepplerMax von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany.
Jürgen BehrDept of Medicine 5, University Hospital, Ludwig Maximilian University of Munich, Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich, Munich, Germany.
Julia MayerleDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Stefan MunkerDept of Medicine 2, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fraction of COVID-19 patients progress to a severe disease manifestation with respiratory failure and the necessity of mechanical ventilation. Identifying patients at risk is critical for optimised care and early therapeutic interventions. We investigated the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) shedding relative to disease severity.We analysed nasopharyngeal and tracheal shedding of SARS-CoV-2 in 92 patients with diagnosed COVID-19. Upon admission, standardised nasopharyngeal swab or sputum samples were collected. If patients were mechanically ventilated, endotracheal aspirate samples were additionally obtained. Viral shedding was quantified by real-time PCR detection of SARS-CoV-2 RNA.45% (41 out of 92) of COVID-19 patients had a severe disease course with the need for mechanical ventilation (severe group). At week 1, the initial viral shedding determined from nasopharyngeal swabs showed no significant difference between nonsevere and severe cases. At week 2, a difference could be observed as the viral shedding remained elevated in severely ill patients. A time-course of C-reactive protein, interleukin-6 and procalcitonin revealed an even more protracted inflammatory response following the delayed drop of virus shedding load in severely ill patients. A significant proportion (47.8%) of patients showed evidence of prolonged viral shedding (>17 days), which was associated with severe disease courses (73.2%).We report that viral shedding does not differ significantly between severe and nonsevere COVID-19 cases upon admission to the hospital. Elevated SARS-CoV-2 shedding in the second week of hospitalisation, a systemic inflammatory reaction peaking between the second and third week, and prolonged viral shedding are associated with a more severe disease course.

Indexed as

COVID-19SARS-CoV-2HumansRespiratory SystemRNA, ViralSeverity of Illness IndexVirus SheddingRNA, Viral

Identifiers

PMID33602859
PMCPMC7898160

What OpenQuestion holds

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Registered trials

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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.