Covidogram as a simple tool for predicting severe course of
COVID-19: population-based study

J 2021

Covidogram as a simple tool for predicting severe course of COVID-19: population-based study

JARKOVSKÝ, Jiří, Klára BENEŠOVÁ, Vladimir CERNY, Jarmila RAZOVA, Petr KALA et. al.

Basic information

Original name

Covidogram as a simple tool for predicting severe course of COVID-19: population-based study

Authors

JARKOVSKÝ, Jiří (203 Czech Republic, belonging to the institution), Klára BENEŠOVÁ (203 Czech Republic, belonging to the institution), Vladimir CERNY (203 Czech Republic), Jarmila RAZOVA (203 Czech Republic), Petr KALA (203 Czech Republic, belonging to the institution), Jiří DOLINA (203 Czech Republic, belonging to the institution), Ondřej MÁJEK (203 Czech Republic, belonging to the institution), Silvie SEBESTOVA (203 Czech Republic), Monika BEZDEKOVA (203 Czech Republic), Hana MELICHAROVA (203 Czech Republic), Lenka ŠNAJDROVÁ (203 Czech Republic, belonging to the institution), Ladislav DUŠEK (203 Czech Republic, belonging to the institution) and Jiří PAŘENICA (203 Czech Republic, guarantor, belonging to the institution)

Edition

BMJ Open, London, BMJ Publishing Group, 2021, 2044-6055

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30218 General and internal medicine

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.006

RIV identification code

RIV/00216224:14110/21:00121367

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1136/bmjopen-2020-045442

UT WoS

000623282300020

Keywords in English

COVID-19; gastroduodenal disease; organisation of health services

Abstract

V originále

Objectives COVID-19 might either be entirely asymptomatic or manifest itself with a large variability of disease severity. It is beneficial to identify early patients with a high risk of severe course. The aim of the analysis was to develop a prognostic model for the prediction of the severe course of acute respiratory infection. Design A population-based study. Setting Czech Republic. Participants The first 7455 consecutive patients with COVID-19 who were identified by reverse transcription-PCR testing from 1 March 2020 to 17 May 2020. Primary outcome Severe course of COVID-19. Result Of a total 6.2% of patients developed a severe course of COVID-19. Age, male sex, chronic kidney disease, chronic obstructive pulmonary disease, recent history of cancer, chronic heart failure, acid-related disorders treated with proton-pump inhibitors and diabetes mellitus were found to be independent negative prognostic factors (Area under the ROC Curve (AUC) was 0.893). The results were visualised by risk heat maps, and we called this diagram a 'covidogram'. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. Conclusion We developed a very simple prediction model called 'covidogram', which is based on elementary independent variables (age, male sex and the presence of several chronic diseases) and represents a tool that makes it possible to identify-with a high reliability-patients who are at risk of a severe course of COVID-19. Obtained results open clinically relevant question about the role of acid-related disorders treated by proton-pump inhibitors as predictor for severe course of COVID-19.

Citovat

JARKOVSKÝ, Jiří, Klára BENEŠOVÁ, Vladimir CERNY, Jarmila RAZOVA, Petr KALA, Jiří DOLINA, Ondřej MÁJEK, Silvie SEBESTOVA, Monika BEZDEKOVA, Hana MELICHAROVA, Lenka ŠNAJDROVÁ, Ladislav DUŠEK and Jiří PAŘENICA. Covidogram as a simple tool for predicting severe course of COVID-19: population-based study. BMJ Open. London: BMJ Publishing Group, 2021, vol. 11, No 2, p. 1-7. ISSN 2044-6055. Available from: https://dx.doi.org/10.1136/bmjopen-2020-045442.

@article{1758079,
   author = {Jarkovský, Jiří and Benešová, Klára and Cerny, Vladimir and Razova, Jarmila and Kala, Petr and Dolina, Jiří and Májek, Ondřej and Sebestova, Silvie and Bezdekova, Monika and Melicharova, Hana and Šnajdrová, Lenka and Dušek, Ladislav and Pařenica, Jiří},
   article_location = {London},
   article_number = {2},
   doi = {http://dx.doi.org/10.1136/bmjopen-2020-045442},
   keywords = {COVID-19; gastroduodenal disease; organisation of health services},
   language = {eng},
   issn = {2044-6055},
   journal = {BMJ Open},
   title = {Covidogram as a simple tool for predicting severe course of COVID-19: population-based study},
   url = {https://bmjopen.bmj.com/content/bmjopen/11/2/e045442.full.pdf},
   volume = {11},
   year = {2021}
}

TY  - JOUR
ID  - 1758079
AU  - Jarkovský, Jiří - Benešová, Klára - Cerny, Vladimir - Razova, Jarmila - Kala, Petr - Dolina, Jiří - Májek, Ondřej - Sebestova, Silvie - Bezdekova, Monika - Melicharova, Hana - Šnajdrová, Lenka - Dušek, Ladislav - Pařenica, Jiří
PY  - 2021
TI  - Covidogram as a simple tool for predicting severe course of COVID-19: population-based study
JF  - BMJ Open
VL  - 11
IS  - 2
SP  - 1-7
EP  - 1-7
PB  - BMJ Publishing Group
SN  - 20446055
KW  - COVID-19
KW  - gastroduodenal disease
KW  - organisation of health services
UR  - https://bmjopen.bmj.com/content/bmjopen/11/2/e045442.full.pdf
N2  - Objectives COVID-19 might either be entirely asymptomatic or manifest itself with a large variability of disease severity. It is beneficial to identify early patients with a high risk of severe course. The aim of the analysis was to develop a prognostic model for the prediction of the severe course of acute respiratory infection. Design A population-based study. Setting Czech Republic. Participants The first 7455 consecutive patients with COVID-19 who were identified by reverse transcription-PCR testing from 1 March 2020 to 17 May 2020. Primary outcome Severe course of COVID-19. Result Of a total 6.2% of patients developed a severe course of COVID-19. Age, male sex, chronic kidney disease, chronic obstructive pulmonary disease, recent history of cancer, chronic heart failure, acid-related disorders treated with proton-pump inhibitors and diabetes mellitus were found to be independent negative prognostic factors (Area under the ROC Curve (AUC) was 0.893). The results were visualised by risk heat maps, and we called this diagram a 'covidogram'. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. Conclusion We developed a very simple prediction model called 'covidogram', which is based on elementary independent variables (age, male sex and the presence of several chronic diseases) and represents a tool that makes it possible to identify-with a high reliability-patients who are at risk of a severe course of COVID-19. Obtained results open clinically relevant question about the role of acid-related disorders treated by proton-pump inhibitors as predictor for severe course of COVID-19.
ER  -

JARKOVSKÝ, Jiří, Klára BENEŠOVÁ, Vladimir CERNY, Jarmila RAZOVA, Petr KALA, Jiří DOLINA, Ondřej MÁJEK, Silvie SEBESTOVA, Monika BEZDEKOVA, Hana MELICHAROVA, Lenka ŠNAJDROVÁ, Ladislav DUŠEK and Jiří PAŘENICA. Covidogram as a simple tool for predicting severe course of COVID-19: population-based study. \textit{BMJ Open}. London: BMJ Publishing Group, 2021, vol.~11, No~2, p.~1-7. ISSN~2044-6055. Available from: https://dx.doi.org/10.1136/bmjopen-2020-045442.

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