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1 ificantly greater than for those with normal ECG findings.
2 ummarized, and associations between specific ECG findings and cardiac allograft use for transplantati
3 was constructed using a propensity score for ECG findings and data on demographics, medical history,
4 ed the relationship between missed high-risk ECG findings and evidence-based therapy in the ED after
5 uded inter-ventricular hypertrophy, abnormal ECG findings and the R58Q mutation caused multiple cases
6 sentation after symptom onset, less specific ECG findings, and hospital presentation during off-hours
9 mission day, including shock, heart failure, ECG findings, cardiovascular disease history, kidney fun
10 d a Wenckebach type I AV block; in the third ECG, findings compatible with simultaneous conduction al
11 ach infant demonstrated unique and transient ECG findings consisting of ST changes and QRS widening b
12 ostic initial clinical or electrocardiogram (ECG) findings for acute cardiac ischemia, continuous 12-
13 stroke in V1 through V3 is the most frequent ECG finding in ARVD/C and should be considered as a diag
14 valence of the failure to identify high-risk ECG findings in ED patients with AMI and to determine wh
16 e performed the first comprehensive study of ECG findings in potential donors for cardiac transplanta
17 However, little is known about the expected ECG findings in potential organ donors or the clinical s
18 the potential value of including nonspecific ECG findings in the overall assessment of cardiovascular
20 toring increases the detection of diagnostic ECG findings, including ST-segment elevation, in patient
21 were analyzed with concentration cut-points, ECG findings, logistic regression (LR) (adjusted for mat
23 sented within 12 hours of symptom onset with ECG findings (ST-segment elevation) consistent with AMI
24 years of age) and presenting with a positive ECG finding suggestive of 1 of the 3 most common pediatr
25 or prediction of CHD events, the addition of ECG findings to the Framingham risk score increased from
27 collected makes it possible to correlate the ECG findings with the anatomy, composition and electroph
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