2020
DOI: 10.1016/j.amjcard.2020.05.042
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Usefulness of a Novel Electrocardiographic Score to Estimate the Pre-Test Probability of Acute Pulmonary Embolism

Abstract: According to our experience the 12-lead electrocardiogram (ECG) may be used to estimate the pretest probability of acute pulmonary embolism (acPE). To this end, we devised a novel ECG score (nECGs) composed of 5 known ECG criteria, best characterizing the key pathogenetic steps of acPE. A retrospective derivation cohort including 136 patients with acPE and a prospective validation cohort including 149 consecutive patients were used to devise and validate the nECGs. The latter cohort consisted of 76 patients wi… Show more

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Cited by 6 publications
(3 citation statements)
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“…The diagnostic value of the resting ECG was also evaluated in patients with acute pulmonary embolism, not only with regard to the prognosis in the acute phase but also to screening for CTEPH [26][27][28][29][30][31][32]. In addition, the ECG curve was also examined for its ability to differentiate between proximal and distal CTEPH localization [33].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The diagnostic value of the resting ECG was also evaluated in patients with acute pulmonary embolism, not only with regard to the prognosis in the acute phase but also to screening for CTEPH [26][27][28][29][30][31][32]. In addition, the ECG curve was also examined for its ability to differentiate between proximal and distal CTEPH localization [33].…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies on acute pulmonary thromboembolism have assessed and compared various ECG scores for use in patients undergoing diagnostics due to suspected acute pulmonary embolism, e.g., Daniel-ECG score and novel ECG score [29,30]. However, both scales require the analysis of a large number of electrocardiographic parameters, making them difficult to use in everyday clinical practice.…”
Section: Discussionmentioning
confidence: 99%
“…Ve snaze zvýšit záchyt PE na CT angiografi i, a omezit tak počet zbytečných negativních CTPA byly zkoušeny edukace, 12 elektronické rozhodovací pomůcky 15 či EKG 16,17 nebo kombinované rozhodovací nástroje vytvořené pomocí strojového učení, 8,18 případně generovaného pomocí poloautomatického zpracování zdravotnických dat. 9 Výsledky metod strojového učení jsou v daném klinickém kontextu lepší než RGS (v práci Silvy, 2023 -model derivovaný metodou strojového učení z EKG, klinických a laboratorních parametrů AUC 0,75 se 100% senzitivitou vs. kombinace RGS a DD s AUC 0,51).…”
Section: Diskuseunclassified