ArticleBMC cardiovascular disorders2020
The diagnostic capability of electrocardiography on the cardiogenic shock in the patients with acute myocarditis.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 9 citations in OpenAlex.
- Disentangling the phenotypic patterns of hypertension and chronic hypotension.Journal of biomedical informatics · 2024Article
- Update on Myocarditis: From Etiology and Clinical Picture to Modern Diagnostics and Methods of Treatment.Diagnostics (Basel, Switzerland) · 2023Review
- Clinical and electrocardiographic characteristics in patients with fulminant myocarditis.Journal of arrhythmia · 2022Article
- Clinical analysis of temporary pacemaker implantation in 13 children.Translational pediatrics · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe study was performed to assess the diagnostic capability of ECG on the cardiogenic shock (CS) in acute myocarditis. A new score was derived from the combination of the ECG parameters and the diagnostic value was also evaluated.
methodsTotal 103 consecutive patients with acute myocarditis admitted in Nanjing Drum Hospital were enrolled in the current study. The cohort was divided into fulminant myocarditis group (FM, n = 20) and non fulminant myocarditis group (NFM, n = 83). The demographic features, results of electrocardiography (ECG) and ultracardiography were compared. Logistic regression analysis was conducted to identify the relevant factors in ECG parameters. We created a new variable called "ECG score" by certain combination of ECG parameters. The diagnostic capability of ECG score for CS was compared with the existing diagnostic indices using regression model and receiver-operating characteristics (ROC) analysis.
resultsThere were several changes on ECG significantly different between the two groups. Multivariate regression analysis demonstrated PR + QRS interval (P = 0.008), ventricular arrhythmia (P = 0.001) and pathological Q wave (P = 0.003) were the independent relevant factors of CS. The derived variable "ECG score" was identified as a significant relevant factor of CS by multivariate regression model. ROC analysis showed PR + QRS interval, ventricular arrhythmia and pathological Q wave all had equivalent diagnostic capability to left ventricular ejection fraction (LVEF) and shock index (SI). ECG score was equivalent to LVEF but superior to SI in diagnosing CS
conclusionsECG was valuable in diagnosing CS due to acute myocarditis. The ECG score was superior to the traditional diagnostic indices and could be used for an rapid recognition of CS.
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