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.

Základní údaje

Originální název

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

Autoři

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30218 General and internal medicine

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.007

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/21:00121367

Organizační jednotka

Lékařská fakulta

DOI

https://doi.org/10.1136/bmjopen-2020-045442

UT WoS

000623282300020

EID Scopus

2-s2.0-85101574047

Klíčová slova anglicky

COVID-19; gastroduodenal disease; organisation of health services

Štítky

14110211, 14110213, 14119612, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 7. 4. 2021 12:39, Mgr. Tereza Miškechová

Anotace

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 a Jiří PAŘENICA. Covidogram as a simple tool for predicting severe course of COVID-19: population-based study. BMJ Open. London: BMJ Publishing Group, 2021, roč. 11, č. 2, s. 1-7. ISSN 2044-6055. Dostupné z: https://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 = {https://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 a 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, roč.~11, č.~2, s.~1-7. ISSN~2044-6055. Dostupné z: https://doi.org/10.1136/bmjopen-2020-045442.

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