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Social Determinants of Health and Racial Disparities in Cardiac Events in Breast Cancer
CONCLUSIONS: Neighborhood and built environment variables are the most important SDOH predictors for 2-year MACE, and NHB patients were more likely to have unfavorable SDOH conditions. This finding reinforces that race is a social construct.PMID:37433439 | DOI:10.6004/jnccn.2023.7023
Source: Journal of the National Comprehensive Cancer Network : JNCCN - July 11, 2023 Category: Cancer & Oncology Authors: Nickolas Stabellini Mantas Dmukauskas Marcio S Bittencourt Jennifer Cullen Amie J Barda Justin X Moore Susan Dent Husam Abdel-Qadir Aniket A Kawatkar Ambarish Pandey John Shanahan Jill S Barnholtz-Sloan Kristin A Waite Alberto J Montero Avirup Guha Source Type: research
Motor Learning Following Stroke
This article provides an overview of motor control and learning theories that inform stroke rehabilitation interventions, discusses principles of neuroplasticity, and provides a summary of practice conditions and techniques that can be used to augment motor learning and neuroplasticity in stroke rehabilitation.
Source: Physical Medicine and Rehabilitation Clinics of North America - July 11, 2023 Category: Rehabilitation Authors: Lauren Winterbottom, Dawn M. Nilsen Source Type: research
Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention
CONCLUSIONS: The RF model accurately predicts short- and long-term risk of IS and outperforms logistic regression analysis in patients undergoing PCI. Patients with periprocedural stroke may benefit from aggressive management to reduce the future risk of IS.PMID:37410747
Source: The Journal of Invasive Cardiology - July 6, 2023 Category: Cardiology Authors: Chieh-Ju Chao Pradyumna Agasthi Timothy Barry Chia-Chun Chiang Panwen Wang Hasan Ashraf Farouk Mookadam Amith R Seri Nithin Venepally Mohamed Allam Sai Harika Pujari Anil Sriramoju Mohamed Sleem Said Alsidawi Mackram Eleid Nirat Beohar Floyd D Fortuin Eri Source Type: research
"Wasting time": a qualitative study of stroke survivors' experiences of boredom in non-therapy time during inpatient rehabilitation
CONCLUSION: Creating rehabilitation environments that support autonomy, socialisation and opportunities to participate in activity are clear targets to reduce boredom during non-therapy time, increase meaningful engagement and possibly improve rehabilitation outcomes post-stroke.PMID:37409578 | DOI:10.1080/09638288.2023.2230131
Source: Disability and Rehabilitation - July 6, 2023 Category: Rehabilitation Authors: Katrina Kenah Meredith Tavener Julie Bernhardt Neil J Spratt Heidi Janssen Source Type: research
Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention
CONCLUSIONS: The RF model accurately predicts short- and long-term risk of IS and outperforms logistic regression analysis in patients undergoing PCI. Patients with periprocedural stroke may benefit from aggressive management to reduce the future risk of IS.PMID:37410747
Source: The Journal of Invasive Cardiology - July 6, 2023 Category: Cardiology Authors: Chieh-Ju Chao Pradyumna Agasthi Timothy Barry Chia-Chun Chiang Panwen Wang Hasan Ashraf Farouk Mookadam Amith R Seri Nithin Venepally Mohamed Allam Sai Harika Pujari Anil Sriramoju Mohamed Sleem Said Alsidawi Mackram Eleid Nirat Beohar Floyd D Fortuin Eri Source Type: research
"Wasting time": a qualitative study of stroke survivors' experiences of boredom in non-therapy time during inpatient rehabilitation
CONCLUSION: Creating rehabilitation environments that support autonomy, socialisation and opportunities to participate in activity are clear targets to reduce boredom during non-therapy time, increase meaningful engagement and possibly improve rehabilitation outcomes post-stroke.PMID:37409578 | DOI:10.1080/09638288.2023.2230131
Source: Disability and Rehabilitation - July 6, 2023 Category: Rehabilitation Authors: Katrina Kenah Meredith Tavener Julie Bernhardt Neil J Spratt Heidi Janssen Source Type: research
Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention
CONCLUSIONS: The RF model accurately predicts short- and long-term risk of IS and outperforms logistic regression analysis in patients undergoing PCI. Patients with periprocedural stroke may benefit from aggressive management to reduce the future risk of IS.PMID:37410747
Source: The Journal of Invasive Cardiology - July 6, 2023 Category: Cardiology Authors: Chieh-Ju Chao Pradyumna Agasthi Timothy Barry Chia-Chun Chiang Panwen Wang Hasan Ashraf Farouk Mookadam Amith R Seri Nithin Venepally Mohamed Allam Sai Harika Pujari Anil Sriramoju Mohamed Sleem Said Alsidawi Mackram Eleid Nirat Beohar Floyd D Fortuin Eri Source Type: research
