Evidence map›Paper›PMID 33851328›Full record

ArticleInfection2021

Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease.

Lisa Pilgram, Lukas Eberwein, Kai Wille, Felix C Koehler, Melanie Stecher, Siegbert Rieg, Jan T Kielstein, Carolin E M Jakob, Maria Rüthrich, Volker Burst and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 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

18 authors at 8 institutions in 1 country.

Lisa Pilgram *Department of Internal Medicine, Hematology and Oncology, Goethe University Frankfurt, Frankfurt, Germany.
Lukas Eberwein *4th Department of Internal Medicine, Klinikum Leverkusen gGmbH, Leverkusen, Germany.
Kai WilleUniversity Clinic for Haematology, Oncology, Haemostaseology and Palliative Care, Johannes Wesling Klinikum, University of Bochum, Minden, Germany.
Felix C KoehlerDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Melanie StecherDepartment I of Internal Medicine, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Siegbert RiegDivision of Infectious Diseases, Department of Medicine II, Medical Centre - University of Freiburg, Faculty of Medicine, Freiburg, Germany.
Jan T KielsteinMedical Clinic V, Academic Teaching Hospital Braunschweig, Brunswick, Germany.
Carolin E M JakobDepartment I of Internal Medicine, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Maria RüthrichDepartment of Internal Medicine II, University Hospital Jena, Jena, Germany.
Volker BurstDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Fabian PrasserCharite, University Hospital Berlin, Berlin Institute of Health (BIH), Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany.
Stefan BorgmannDepartment of Infectious Diseases and Infection Control, Ingolstadt Hospital, Ingolstadt, Germany.
Roman-Ulrich MüllerDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Julia LanznasterDepartment of Internal Medicine 2, Klinikum Passau, Passau, Germany.
Nora IsbernerDivision of Infectious Diseases, Department of Medicine II, University of Würzburg Medical Center, Würzburg, Germany.
Lukas Tometten *Department of Gastroenterology and Infectiology, Klinikum Ernst-von-Bergmann, Potsdam, Germany.
Sebastian Dolff *Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany. Sebastian.Dolff@uk-essen.de.ORCID http://orcid.org/0000-0001-5549-1706
LEOSS Study group
University of Cologne · DEGoethe University Frankfurt · DEUniversity of Freiburg · DEUniversity of Würzburg · DEEssen University Hospital · DEHumboldt-Universität zu Berlin · DEKlinikum Ernst von Bergmann · DEKlinikum Leverkusen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe ongoing pandemic caused by the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) has stressed health systems worldwide. Patients with chronic kidney disease (CKD) seem to be more prone to a severe course of coronavirus disease (COVID-19) due to comorbidities and an altered immune system. The study's aim was to identify factors predicting mortality among SARS-CoV-2-infected patients with CKD.

methodsWe analyzed 2817 SARS-CoV-2-infected patients enrolled in the Lean European Open Survey on SARS-CoV-2-infected patients and identified 426 patients with pre-existing CKD. Group comparisons were performed via Chi-squared test. Using univariate and multivariable logistic regression, predictive factors for mortality were identified.

resultsComparative analyses to patients without CKD revealed a higher mortality (140/426, 32.9% versus 354/2391, 14.8%). Higher age could be confirmed as a demographic predictor for mortality in CKD patients (> 85 years compared to 15-65 years, adjusted odds ratio (aOR) 6.49, 95% CI 1.27-33.20, p = 0.025). We further identified markedly elevated lactate dehydrogenase (> 2 × upper limit of normal, aOR 23.21, 95% CI 3.66-147.11, p < 0.001), thrombocytopenia (< 120,000/µl, aOR 11.66, 95% CI 2.49-54.70, p = 0.002), anemia (Hb < 10 g/dl, aOR 3.21, 95% CI 1.17-8.82, p = 0.024), and C-reactive protein (≥ 30 mg/l, aOR 3.44, 95% CI 1.13-10.45, p = 0.029) as predictors, while renal replacement therapy was not related to mortality (aOR 1.15, 95% CI 0.68-1.93, p = 0.611).

conclusionThe identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2.

Indexed as

SARS-CoV-2AdolescentAdultAged, 80 and overCohort StudiesComorbidityCOVID-19HumansLogistic ModelsMiddle AgedRenal Insufficiency, ChronicRisk FactorsYoung AdultChronic kidney diseaseCOVID-19LEOSSPredictive factorSARS-CoV-2

Identifiers

PMID33851328
PMCPMC8043429
OpenAlexW3154674548

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.