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Articles 1 - 3 of 3
Full-Text Articles in Other Analytical, Diagnostic and Therapeutic Techniques and Equipment
Cardiac Metastasis After Curative Treatment Of Hepatocellular Carcinoma: Risk Factors, Treatment Options, And Prognosis, Gaurav Jain, Mathew Otto, Mubeen Khan Mohammed Abdul, Manpreet Chadha, Ajay Sahajpal
Cardiac Metastasis After Curative Treatment Of Hepatocellular Carcinoma: Risk Factors, Treatment Options, And Prognosis, Gaurav Jain, Mathew Otto, Mubeen Khan Mohammed Abdul, Manpreet Chadha, Ajay Sahajpal
Journal of Patient-Centered Research and Reviews
Hepatocellular carcinoma (HCC) is primary hepatic malignancy with a high incidence of recurrence. The risk of recurrence directly correlates to patient’s overall prognosis. Management of advanced HCC involves a combination of surgical resection, locoregional therapy, and systemic treatment. Distant metastases are rare, and intraventricular cardiac metastases are even more infrequent. This brief review details an illustrative case of cardiac metastasis after curative treatment of primary HCC and then summarizes the literature on risk factors, treatment options, and patient prognosis in the setting of distant metastases from HCC. Prognosis of metastasis to the heart is generally poor, and available evidence emphasizes …
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Journal of Patient-Centered Research and Reviews
Purpose: Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).
Methods: In this substudy of a prospective, multicenter study, patients from 3 institutions (n = 727) formed an internal cohort, and the fourth institution was reserved as an external test set (n = 518). A previously validated patient similarity analysis model was used …
A Physical Therapy Mobility Checkup For Older Adults: Feasibility And Participant Preferences From A Discrete Choice Experiment, Dalerie Lieberz, Hannah Borgeson, Steven Dobson, Lindsey Ewings, Karen Johnson, Kori Klaysmat, Abby Schultz, Rachel Tasson, Alexandra L. Borstad
A Physical Therapy Mobility Checkup For Older Adults: Feasibility And Participant Preferences From A Discrete Choice Experiment, Dalerie Lieberz, Hannah Borgeson, Steven Dobson, Lindsey Ewings, Karen Johnson, Kori Klaysmat, Abby Schultz, Rachel Tasson, Alexandra L. Borstad
Journal of Patient-Centered Research and Reviews
Purpose: Physical performance measures, like walking speed, identify and predict preclinical mobility disability but are rarely used in routine medical care. A preventive model of care called Mobility Checkup is being designed to reduce mobility disability in older adults. This study had two purposes: 1) determine feasibility and outcomes of the Mobility Checkup, and 2) identify preferences of older adults regarding this model of care using a discrete choice experiment.
Methods: Adults over 55 years of age were recruited from the community. In the study’s first phase, participants completed a Mobility Checkup, with feasibility evaluated using 6 criteria. In the …