In order to examine technical factors that influence muscle sound recording, single twitches of muscle were utilized since their waveforms were likely to be reproducible. We observed that satisfactory recordings could be made with either Archer air interface, or Hewlett-Packard direct contact sensor, microphones. Firm contact and stability between the microphone and the skin surface were particularly important. Frequencies below 20 Hz, the lower limit of the human auditory range, must be recorded, since they account for at least 90% of the power of the muscle sound wave. The chief frequencies were below 4 Hz. The sound wave produced by a maximal twitch of human thenar muscle induced by median nerve stimulation at the wrist is maximal in amplitude over the center and recedes to near zero at the margins of the muscle. It is preceded by the muscle compound action potential and is followed by the force curve, recorded with a strain gauge attached to the thumb. The sound resembles force in total time course, and it increases with increasing strengths of nerve stimulation. However, it differs in its latency, phase relationships, and response to nerve stimulation at different frequencies. Some of the features of muscle sound suggest it relates to both the active contractile and the parallel elastic components of muscle during a twitch contraction, but not the series elastic component.
Background— Sudden cardiac death (SCD) and sustained monomorphic ventricular tachycardia (SMVT) are frequently associated with prior or acute myocardial injury. Cardiovascular magnetic resonance (CMR) provides morphological, functional, and tissue characterization in a single setting. We sought to evaluate the diagnostic yield of CMR-based imaging versus non–CMR-based imaging in patients with resuscitated SCD or SMVT. Methods and Results— Eighty-two patients with resuscitated SCD or SMVT underwent routine non-CMR imaging, followed by a CMR protocol with comprehensive tissue characterization. Clinical reports of non-CMR imaging studies were blindly adjudicated and used to assign each patient to 1 of 7 diagnostic categories. CMR imaging was blindly interpreted using a standardized algorithm used to assign a patient diagnosis category in a similar fashion. The diagnostic yield of CMR-based and non–CMR-based imaging, as well as the impact of the former on diagnosis reclassification, was established. Relevant myocardial disease was identified in 51% of patients using non–CMR-based imaging and in 74% using CMR-based imaging ( P =0.002). Forty-one patients (50%) were reassigned to a new or alternate diagnosis using CMR-based imaging, including 15 (18%) with unsuspected acute myocardial injury. Twenty patients (24%) had no abnormality by non-CMR imaging but showed clinically relevant myocardial disease by CMR imaging. Conclusions— CMR-based imaging provides a robust diagnostic yield in patients presenting with resuscitated SCD or SMVT and incrementally identifies clinically unsuspected acute myocardial injury. When compared with non–CMR-based imaging, a new or alternate myocardial disease process may be identified in half of these patients.
Background-Scar signal quantification using late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) identifies patients at higher risk of future events, both in ischemic cardiomyopathy (ICM) and nonischemic dilated cardiomyopathy (DCM). However, the ability of scar signal burden to predict events in such patient groups at the time of referral for implantable cardioverter-defibrillator (ICD) has not been well explored. This study evaluates the predictive use of multiple scar quantification measures in ICM and DCM patients being referred for ICD. Methods and Results-One hundred twenty-four consecutive patients referred for ICD therapy (59 with ICM and 65 with DCM) underwent a standardized LGE-CMR protocol with blinded, multithreshold scar signal quantification and, for those with ICM, peri-infarct signal quantification. Patients were followed prospectively for the primary combined outcome of appropriate ICD therapy, survived cardiac arrest, or sudden cardiac death. At a mean follow-up of 632±262 days, 18 patients (15%) had suffered the primary outcome. Total scar was significantly higher among those suffering a primary outcome, a relationship maintained within each cardiomyopathy cohort (P<0.01 for all comparisons). Total scar was the strongest independent predictor of the primary outcome and demonstrated a negative predictive value of 86%. In the ICM subcohort, peri-infarct signal showed only a nonsignificant trend toward elevation among those having a primary end point. Conclusions-Myocardial
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