Emerging ECG methods for acute coronary syndrome detection: Recommendations & future opportunities.

Despite being the mainstay for the initial noninvasive assessment of patients with symptomatic coronary artery disease, the 12­lead ECG remains a suboptimal diagnostic tool for myocardial ischemia detection with only acceptable sensitivity and specificity scores. Although myocardial ischemia affects the configuration of the QRS complex and the STT waveform, current guidelines primarily focus on ST segment amplitude, which constitutes a missed opportunity and may explain the suboptimal diagnostic performance of the ECG. This possible opportunity and the low cost and ease of use of the ECG provide compelling motivation to enhance the diagnostic accuracy of the ECG to ischemia detection. This paper describes numerous computational ECG methods and approaches that have been shown to dramatically increase ECG sensitivity to ischemia detection. Briefly, these emerging approaches can be conceptually grouped into one of the following four approaches: (1) leveraging novel ECG waveform features and signatures indicative of ischemic injury other than the classical ST-T amplitude measures; (2) applying body surface potentials mapping (BSPM)-based approaches to enhance the spatial coverage of the surface ECG to detecting ischemia; (3) developing an inverse ECG solution to reconstruct anatomical models of activation and recovery pathways to detect and localize injury currents; and (4) exploring artificial intelligence (AI)-based techniques to harvest ECG waveform signatures of ischemia. We present recent advances, shortcomings, and future opportunities for each of these emerging ECG methods. Future research should focus on the prospective clinical testing of these approaches to establish clinical utility and to expedite potential translation into clinical practice.

AMTRA: a multicentered experience of a web-based monitoring and tailored toxicity management system for cancer patients.

BACKGROUND: Technology-based interventions are increasingly being introduced in routine clinical cancer care. There is a need for reliable systems to monitor treatment-related toxicity in a standardized manner. Such electronic tools bridge the gap in providing quality home-based monitoring. METHODS: From July 2017 to December 2017, we performed a multicentered, non-randomized prospective cohort analysis with patients who were receiving routine chemotherapy for various solid tumors, using a web-based patient-reported toxicity registration, management, and intervention system called AMTRA (ambulatory Monitoring of cancer Therapy using an interactive Application) linked to the homecare nursing organization Remedus®. Twelve common toxicities plus pain and two biometrics could be registered daily or more frequently as required. These were processed centrally to generate tailored advice for lesser symptoms or a phone call from a dedicated nurse in case of severe or prolonged toxicity. A compliance tool to monitor oral therapies was incorporated in the system. RESULTS: One hundred sixty-eight patients (92%) were enrolled, with 31,514 registrations analyzed. One hundred eight patients reported severe toxicity (> 1461 registrations), resulting in 102 clinical interventions ranging from self-management advice, supplemental consultations to hospitalizations. Compliance to oral chemotherapy was high using AMTRA with a median of 98.7% (95 confidence interval (CI) [93.5-100.0%]). Seventy-nine percent of patients stated that the availability of AMTRA self-reports was useful in communication with the care provider, while 75% felt more in control while managing their treatment. CONCLUSIONS: The application of an interactive PRO-system in routine symptom management of cancer patients allowed standardized documentation of toxicities and recorded a high compliance with oral treatment. It allows for rapid interaction for toxicities and cancer-related symptoms experienced at home.

Clinical Utility of Body Surface Potential Mapping in CRT Patients.

This paper reviews the current status of the knowledge on body surface potential mapping (BSPM) and ECG imaging (ECGI) methods for patient selection, left ventricular (LV) lead positioning, and optimisation of CRT programming, to indicate the major trends and future perspectives for the application of these methods in CRT patients. A systematic literature review using PubMed, Scopus, and Web of Science was conducted to evaluate the available clinical evidence regarding the usage of BSPM and ECGI methods in CRT patients. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement was used as a basis for this review. BSPM and ECGI methods applied in CRT patients were assessed, and quantitative parameters of ventricular depolarisation delivered from BSPM and ECGI were extracted and summarised. BSPM and ECGI methods can be used in CRT in several ways, namely in predicting CRT outcome, in individualised optimisation of CRT device programming, and the guiding of LV electrode placement, however, further prospective or randomised trials are necessary to verify the utility of BSPM for routine clinical practice.