Validation of the Prognostic Utility of the Electrocardiogram for Acute Drug Overdose.
Validation of the Prognostic Utility of the Electrocardiogram for Acute Drug Overdose.
复制标题
心电图对急性药物过量的预后效用的验证。
DOI：
10.1161/jaha.116.004320
复制
发表时间：
2017
影响因子：
5.4
通讯作者：
Hoffman,RobertS
中科院分区：
文献类型：
--
作者：
Manini,AlexF;Nair,AjithP;Vedanthan,Rajesh;Vlahov,David;Hoffman,RobertS
BackgroundWhile it is certain that some emergency department patients with acute drug overdose suffer adverse cardiovascular events (ACVE), predicting ACVE is difficult. The prognostic utility of the ECG for heterogeneous drug overdose patients remains to be proven. This study was undertaken to validate previously derived features of the initial ECG associated with ACVE in this population.Methods and ResultsWe performed a prospective validation cohort study to evaluate adult emergency department patients with acute drug overdose at 2 urban university hospitals over 5 years in whom an emergency department admission ECG was performed. Exclusion criteria were alternate diagnoses, anaphylaxis, chronic drug toxicity, and missing outcome data. ACVE was defined as any of the following: circulatory shock, myocardial injury, ventricular dysrhythmia, or cardiac arrest. Blinded cardiologists interpreted ECGs for previously derived predictors of ACVE (ectopy, QT prolongation, nonsinus rhythm, ischemia/infarction), QT dispersion, and prominent R wave in lead AVR. Of 589 patients who met inclusion criteria (48% male, mean age 42), there were 95 ACVEs (39 shock, 64 myocardial injury, 26 dysrhythmia, 16 cardiac arrest). The most common drug exposures were as follows: benzodiazepines, opioids, and acetaminophen. Previously derived criteria were highly predictive of ACVE, with QT correction >500 ms as the highest risk feature (OR 11.2, CI 4.6–27).ConclusionsThis study confirms that early ECG evaluation is essential to assess the cardiovascular prognosis and medical clearance of emergency department patients with acute drug overdose. Furthermore, this study validates previously derived high‐risk features of the admission ECG to risk stratify for ACVE in this patient population.
