Data analysis of diagnostic accuracies in 12-lead electrocardiogram interpretation by junior medical fellows

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00085267" target="_blank" >RIV/00216224:14110/15:00085267 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/65269705:_____/15:00063667

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.jelectrocard.2015.08.023" target="_blank" >http://dx.doi.org/10.1016/j.jelectrocard.2015.08.023</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jelectrocard.2015.08.023" target="_blank" >10.1016/j.jelectrocard.2015.08.023</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Data analysis of diagnostic accuracies in 12-lead electrocardiogram interpretation by junior medical fellows

Popis výsledku v původním jazyce

Background: The electrocardiogram (ECG) is the most commonly used diagnostic procedure for assessing the cardiovascular system. The aim of this study was to compare ECG diagnostic skill among fellows of cardiology and of other internal medicine specialties (non-cardiology fellows). Methods: A total of 2900 ECG interpretations were collected. A set of 100 clinical 12-lead ECG tracings were selected and classified into 12 diagnostic categories. The ECGs were evaluated by 15 cardiology fellows and of 14 non-cardiology fellows. Diagnostic interpretations were classified as (1) correct, (2) almost correct, (3) incorrect, and (4) dangerously incorrect. Multivariate logistic regression was used to assess confounding factors and to determine the odds ratios for the months of experience, age, sex, and the distinction between cardiology and non-cardiology fellows. Results: The mean rate of correct diagnoses by cardiology vs. non-cardiology fellows was 48.9 +/- 8.9% vs. 35.9 +/- 8.0% (p = 0.001;

Název v anglickém jazyce

Data analysis of diagnostic accuracies in 12-lead electrocardiogram interpretation by junior medical fellows

Popis výsledku anglicky

Background: The electrocardiogram (ECG) is the most commonly used diagnostic procedure for assessing the cardiovascular system. The aim of this study was to compare ECG diagnostic skill among fellows of cardiology and of other internal medicine specialties (non-cardiology fellows). Methods: A total of 2900 ECG interpretations were collected. A set of 100 clinical 12-lead ECG tracings were selected and classified into 12 diagnostic categories. The ECGs were evaluated by 15 cardiology fellows and of 14 non-cardiology fellows. Diagnostic interpretations were classified as (1) correct, (2) almost correct, (3) incorrect, and (4) dangerously incorrect. Multivariate logistic regression was used to assess confounding factors and to determine the odds ratios for the months of experience, age, sex, and the distinction between cardiology and non-cardiology fellows. Results: The mean rate of correct diagnoses by cardiology vs. non-cardiology fellows was 48.9 +/- 8.9% vs. 35.9 +/- 8.0% (p = 0.001;

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FA - Kardiovaskulární nemoci včetně kardiochirurgie

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Journal of Electrocardiology

ISSN

0022-0736

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

988-994

Kód UT WoS článku

000364896800012

EID výsledku v databázi Scopus

—