Evidence map›Paper›PMID 34000622›Full record

ArticleEBioMedicine2021

Clinical features and prognostic factors in Covid-19: A prospective cohort study.

Sanne de Bruin, Lieuwe D Bos, Marian A van Roon, Anita M Tuip-de Boer, Alex R Schuurman, Marleen J A Koel-Simmelinck, Harm Jan Bogaard, Pieter Roel Tuinman, Michiel A van Agtmael, Jörg Hamann and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
8.3field-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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

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  15. An evaluation of vilobelimab (anti-C5a) as a cost-effective option to treat severely ill mechanically ventilated patients with COVID-19.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2025
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  18. Effect of COVID-19 on Thrombosis Incidence and Patient Prognosis in Kidney Transplant Recipients.Medical science monitor : international medical journal of experimental and clinical research · 2024
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Sanne de BruinFrom the Department of Intensive Care, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Lieuwe D BosFrom the Department of Intensive Care, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Marian A van RoonDepartment of Neurology, University of Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Anita M Tuip-de BoerFrom the Department of Intensive Care, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Alex R SchuurmanDepartment of Infectious Diseases, University of Amsterdam, Amsterdam UMC, Amsterdam Infection and Immunity, Amsterdam, The Netherlands.
Marleen J A Koel-SimmelinckNeurochemistry Laboratory, Department of Clinical Chemistry, Free University, Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, the Netherlands.
Harm Jan BogaardDepartment of Pulmonary Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Pieter Roel TuinmanDepartment of Intensive Care, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Michiel A van AgtmaelDepartment of Internal Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jörg HamannBiobank Core Facility, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Charlotte E TeunissenNeurochemistry Laboratory, Department of Clinical Chemistry, Free University, Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, the Netherlands.
W Joost WiersingaDepartment of Infectious Diseases, University of Amsterdam, Amsterdam UMC, Amsterdam Infection and Immunity, Amsterdam, The Netherlands.
A H Koos ZwindermanDepartment of Clinical Epidemiology and Biostatistics, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health, Amsterdam, the Netherlands.
Matthijs C BrouwerDepartment of Neurology, University of Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Diederik van de BeekDepartment of Neurology, University of Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands. Electronic address: d.vandebeek@amsterdamumc.nl.
Alexander P J VlaarFrom the Department of Intensive Care, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Amsterdam UMC COVID-19 Biobank Investigators
Amsterdam University Medical Centers · NLAmsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality rates are high among hospitalized patients with COVID-19, especially in those intubated on the ICU. Insight in pathways associated with unfavourable outcome may lead to new treatment strategies.

methodsWe performed a prospective cohort study of patients with COVID-19 admitted to general ward or ICU who underwent serial blood sampling. To provide insight in the pathways involved in disease progression, associations were estimated between outcome risk and serial measurements of 64 biomarkers in potential important pathways of COVID-19 infection (inflammation, tissue damage, complement system, coagulation and fibrinolysis) using joint models combining Cox regression and linear mixed-effects models. For patients admitted to the general ward, the primary outcome was admission to the ICU or mortality (unfavourable outcome). For patients admitted to the ICU, the primary outcome was 12-week mortality.

findingsA total of 219 patients were included: 136 (62%) on the ward and 119 patients (54%) on the ICU; 36 patients (26%) were included in both cohorts because they were transferred from general ward to ICU. On the general ward, 54 of 136 patients (40%) had an unfavourable outcome and 31 (23%) patients died. On the ICU, 54 out of 119 patients (45%) died. Unfavourable outcome on the general ward was associated with changes in concentrations of IL-6, IL-8, IL-10, soluble Receptor for Advanced Glycation End Products (sRAGE), vascular cell adhesion molecule 1 (VCAM-1) and Pentraxin-3. Death on the ICU was associated with changes in IL-6, IL-8, IL-10, sRAGE, VCAM-1, Pentraxin-3, urokinase-type plasminogen activator receptor, IL-1-receptor antagonist, CD14, procalcitonin, tumor necrosis factor alfa, tissue factor, complement component 5a, Growth arrest-specific 6, angiopoietin 2, and lactoferrin. Pathway analysis showed that unfavourable outcome on the ward was mainly driven by chemotaxis and interleukin production, whereas death on ICU was associated with a variety of pathways including chemotaxis, cell-cell adhesion, innate host response mechanisms, including the complement system, viral life cycle regulation, angiogenesis, wound healing and response to corticosteroids.

interpretationClinical deterioration in patients with severe COVID-19 involves multiple pathways, including chemotaxis and interleukin production, but also endothelial dysfunction, the complement system, and immunothrombosis. Prognostic markers showed considerable overlap between general ward and ICU patients, but we identified distinct differences between groups that should be considered in the development and timing of interventional therapies in COVID-19.

fundingAmsterdam UMC, Amsterdam UMC Corona Fund, and Dr. C.J. Vaillant Fonds.

Indexed as

AgedBiomarkersChemotaxisCOVID-19FemaleHumansIntensive Care UnitsInterleukinsMaleMiddle AgedPatient AdmissionPrognosisProspective StudiesBiomarkersInterleukinsBiomarkerClinical featuresCOVID-19Pathway analysisPrognosis

Identifiers

PMID34000622
PMCPMC8118723
OpenAlexW3160788382

What OpenQuestion holds

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LicenceCC BY
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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.