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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13450%2F21%3A43896816" target="_blank" >RIV/44555601:13450/21:43896816 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/65269705:_____/21:00074205 RIV/00216224:14110/21:00121367

  • Výsledek na webu

    <a href="https://bmjopen.bmj.com/content/11/2/e045442" target="_blank" >https://bmjopen.bmj.com/content/11/2/e045442</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1136/bmjopen-2020-045442" target="_blank" >10.1136/bmjopen-2020-045442</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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 &apos;covidogram&apos;. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. Conclusion We developed a very simple prediction model called &apos;covidogram&apos;, 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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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 &apos;covidogram&apos;. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. Conclusion We developed a very simple prediction model called &apos;covidogram&apos;, 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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30218 - General and internal medicine

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    BMJ Open

  • ISSN

    2044-6055

  • e-ISSN

  • Svazek periodika

    11

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    7

  • Strana od-do

    1-7

  • Kód UT WoS článku

    000623282300020

  • EID výsledku v databázi Scopus