Evidence map›Paper›PMID 40741239›Full record

ArticleArchives of medical science : AMS2025

The C2HEST score on admission to hospital may successfully predict clinical outcomes of COVID-19 in the all-comers population.

Adrian Doroszko, Małgorzata Trocha, Krzysztof Kujawa, Jędrzej Machowiak, Anna Jodkowska, Piotr Rola, Jarosław Sowizdraniuk, Paweł Lubieniecki, Mariusz Koral, Agata Stanek and 3 more

Abstract read
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In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Adrian DoroszkoDepartment of Cardiology, Center for Heart Diseases, 4th Military Hospital, Wroclaw, Poland.
Małgorzata TrochaDepartment and Clinic of Diabetology, Hypertension and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Krzysztof KujawaStatistical Analysis Centre, Wroclaw Medical University, Wroclaw, Poland.
Jędrzej MachowiakEmergency Department, University Hospital in Wroclaw, Wroclaw, Poland.
Anna JodkowskaDepartment and Clinic of Diabetology, Hypertension and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Piotr RolaFaculty of Medicine, Wroclaw University of Science and Technology, Wroclaw, Poland.
Jarosław SowizdraniukMedical Simulation Centre, Faculty of Medicine, Wroclaw University of Science and Technology, Wroclaw, Poland.
Paweł LubienieckiDepartment and Clinic of Diabetology, Hypertension and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Mariusz KoralMedical Simulation Center, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Agata StanekDepartment and Clinic of Internal Medicine, Angiology and Physical Medicine, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland.
Janusz SokołowskiDepartment and Clinic of Emergency Medicine, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Ewa A JankowskaInstitute of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland.
Katarzyna MadziarskaDepartment and Clinic of Diabetology, Hypertension and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the SARS-CoV-2 pandemic, intensive efforts have been made to identify COVID-19 outcome predictors. The C2HEST score, used to predict the atrial fibrillation risk, reflects the presence of comorbidities. This study aimed to demonstrate the usefulness of this score in predicting COVID-19 outcomes in hospitalized individuals. Material and methods: 2184 medical records of subjects hospitalized due to COVID-19 between February 2020 and June 2021 were analyzed. Subjects were categorized into low/medium/high-risk categories according to the C2HEST score. Outcomes included: in-hospital-, 3- and 6-month-all-cause-mortality, non-fatal hospitalization endpoints, and other in-hospital events. Results: 598 deaths (27.4%), including 326 in-hospital (15%), were reported. All types of mortality were highest in the high-risk stratum (35.4%, 54.4%, 56.9%, respectively), and lowest in the low-risk stratum (8.4%, 15%, 37.5%, respectively). The ROC revealed that C2HEST allows one to predict 1-month mortality (AUC30 70.7) and remained at a similar level after 3- and 6-month observation (AUC90 = 72.0 and AUC180 = 67). The Conclusions: The C2HEST score can predict COVID-19 outcomes in hospitalized subjects. This simple score, based on comorbidities, may address medical needs in the risk stratification of COVID19 patients.

Indexed as

mortalityrisk stratificationSARS-CoV2score

Identifiers

PMID40741239
PMCPMC12305526

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.