Evidence map›Paper›PMID 34501301›Full record

ArticleJournal of clinical medicine2021

Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study.

David Meintrup, Stefan Borgmann, Karlheinz Seidl, Melanie Stecher, Carolin E M Jakob, Lisa Pilgram, Christoph D Spinner, Siegbert Rieg, Nora Isberner, Martin Hower and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

14 authors at 10 institutions in 1 country.

David MeintrupFaculty of Engineering and Management, University of Applied Sciences Ingolstadt, 85049 Ingolstadt, Germany.
Stefan BorgmannDepartment of Infectious Diseases and Infection Control, Ingolstadt Hospital, 85049 Ingolstadt, Germany.
Karlheinz SeidlDepartment of Cardiology, Ingolstadt Hospital, 85049 Ingolstadt, Germany.
Melanie StecherDepartment I for Internal Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany.
Carolin E M JakobDepartment I for Internal Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany.ORCID 0000-0001-7940-3264
Lisa PilgramDepartment of Internal Medicine, Hematology and Oncology, Goethe University Frankfurt, 60323 Frankfurt, Germany.ORCID 0000-0002-1020-0650
Christoph D SpinnerDepartment of Internal Medicine II, University Hospital Rechts Der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0002-3875-5367
Siegbert RiegDepartment of Medicine II, University of Freiburg, 79106 Freiburg, Germany.
Nora IsbernerDivision of Infectious Diseases, Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany.ORCID 0000-0001-7217-9191
Martin HowerDepartment of Pneumology, Infectious Diseases, Internal Medicine and Intensive Care, Klinikum Dortmund gGmbH, 44137 Dortmund, Germany.ORCID 0000-0001-5967-5238
Maria VehreschildDepartment of Infectious Diseases, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Siri GöpelDepartment of Internal Medicine I, University Hospital Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-7666-4634
Frank HansesEmergency Department and Department for Infection Control and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany.
Martina Nowak-MachenDepartment of Anaesthesia and Intensive Care Medicine, Ingolstadt Hospital, 85049 Ingolstadt, Germany.
Klinikum Ingolstadt · DEGoethe University Frankfurt · DEUniversity of Cologne · DEGerman Center for Infection Research · DEKlinikum Dortmund · DETechnische Hochschule Ingolstadt · DETUM Klinikum · DEUniversitätsklinikum Würzburg · DEUniversity Hospital Regensburg · DEUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: The aim of our study was to identify specific risk factors for fatal outcome in critically ill COVID-19 patients. (2) Methods: Our data set consisted of 840 patients enclosed in the LEOSS registry. Using lasso regression for variable selection, a multifactorial logistic regression model was fitted to the response variable survival. Specific risk factors and their odds ratios were derived. A nomogram was developed as a graphical representation of the model. (3) Results: 14 variables were identified as independent factors contributing to the risk of death for critically ill COVID-19 patients: age (OR 1.08, CI 1.06-1.10), cardiovascular disease (OR 1.64, CI 1.06-2.55), pulmonary disease (OR 1.87, CI 1.16-3.03), baseline Statin treatment (0.54, CI 0.33-0.87), oxygen saturation (unit = 1%, OR 0.94, CI 0.92-0.96), leukocytes (unit 1000/μL, OR 1.04, CI 1.01-1.07), lymphocytes (unit 100/μL, OR 0.96, CI 0.94-0.99), platelets (unit 100,000/μL, OR 0.70, CI 0.62-0.80), procalcitonin (unit ng/mL, OR 1.11, CI 1.05-1.18), kidney failure (OR 1.68, CI 1.05-2.70), congestive heart failure (OR 2.62, CI 1.11-6.21), severe liver failure (OR 4.93, CI 1.94-12.52), and a quick SOFA score of 3 (OR 1.78, CI 1.14-2.78). The nomogram graphically displays the importance of these 14 factors for mortality. (4) Conclusions: There are risk factors that are specific to the subpopulation of critically ill COVID-19 patients.

Indexed as

comorbiditiesCOVID-19critically ill patientslasso regressionnomogramrisk factorsSARS-CoV-2

Identifiers

PMID34501301
PMCPMC8432209
OpenAlexW3198441985

What OpenQuestion holds

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LicenceCC BY
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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.