keyword
https://read.qxmd.com/read/35793080/time-to-revisit-using-10-year-risk-to-guide-statin-therapy
#21
JOURNAL ARTICLE
Ann Marie Navar, Gregg C Fonarow, Michael J Pencina
No abstract text is available yet for this article.
August 1, 2022: JAMA Cardiology
https://read.qxmd.com/read/35641123/a-framework-for-the-oversight-and-local-deployment-of-safe-and-high-quality-prediction-models
#22
JOURNAL ARTICLE
Armando D Bedoya, Nicoleta J Economou-Zavlanos, Benjamin A Goldstein, Allison Young, J Eric Jelovsek, Cara O'Brien, Amanda B Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G Poon, Michael J Pencina
Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can detect potential safety signals. There is a lack of consensus in establishing governance to deploy, pilot, and monitor algorithms within operational healthcare delivery workflows. Here, we describe a governance framework that combines current regulatory best practices and lifecycle management of predictive models being used for clinical care...
August 16, 2022: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/35407452/prognostic-impact-of-hybrid-comprehensive-telerehabilitation-regarding-diastolic-dysfunction-in-patients-with-heart-failure-with-reduced-ejection-fraction-subanalysis-of-the-telereh-hf-randomized-clinical-trial
#23
JOURNAL ARTICLE
Robert Irzmański, Renata Glowczynska, Maciej Banach, Dominika Szalewska, Ryszard Piotrowicz, Ilona Kowalik, Michael J Pencina, Wojciech Zareba, Piotr Orzechowski, Slawomir Pluta, Zbigniew Kalarus, Grzegorz Opolski, Ewa Piotrowicz
AIMS: The objective of the study was to evaluate the effects of individually prescribed hybrid comprehensive telerehabilitation (HCTR) implemented at patients' homes on left ventricular (LV) diastolic function in heart failure (HF) patients. METHODS AND RESULTS: The Telerehabilitation in Heart Failure Patients trial (TELEREH-HF) is a multicenter, prospective, randomized (1:1), open-label, parallel-group, controlled trial involving HF patients assigned either to HCTR involving a remotely monitored home training program in conjunction with usual care (HCTR group) or usual care only (UC group)...
March 26, 2022: Journal of Clinical Medicine
https://read.qxmd.com/read/35316910/antiarrhythmic-effect-of-9-week-hybrid-comprehensive-telerehabilitation-and-its-influence-on-cardiovascular-mortality-in-long-term-follow-up-subanalysis-of-the-telerehabilitation-in-heart-failure-patients-randomized-clinical-trial
#24
JOURNAL ARTICLE
Piotr Orzechowski, Ryszard Piotrowicz, Wojciech Zareba, Michael J Pencina, Ilona Kowalik, Ewa Komar, Grzegorz Opolski, Maciej Banach, Renata Główczyńska, Dominika Szalewska, Sławomir Pluta, Robert Irzmański, Zbigniew Kalarus, Ewa Piotrowicz
Introduction: Cardiac rehabilitation is a component of heart failure (HF) management, but its effect on ventricular arrhythmias is not well understood. We analyzed the antiarrhythmic effect of a 9-week hybrid comprehensive telerehabilitation (HCTR) program and its influence on long-term cardiovascular mortality in HF patients taken from the TELEREHabilitation in Heart Failure Patients (TELEREH-HF) trial. Material and methods: We evaluated the presence of non-sustained ventricular tachycardia (nsVT) and frequent premature ventricular complexes ≥ 10 beats/hour (PVCs ≥ 10) in 24-hour ECG monitoring at baseline and after 9-week HCTR or usual care (UC) of 773 HF patients (NYHA I-III, LVEF ≤ 40%)...
2022: Archives of Medical Science: AMS
https://read.qxmd.com/read/34871580/effects-of-long-term-testosterone-treatment-on-cardiovascular-outcomes-in-men-with-hypogonadism-rationale-and-design-of-the-traverse-study
#25
RANDOMIZED CONTROLLED TRIAL
Shalender Bhasin, A Michael Lincoff, Shehzad Basaria, Douglas C Bauer, William E Boden, Glenn R Cunningham, Deborah Davey, Elena Dubcenco, Sandra Fukumoto, Michelle Garcia, Christopher B Granger, Vidyasagar Kalahasti, Mohit Khera, Michael G Miller, Lisa M Mitchell, Michael P O'Leary, Karol M Pencina, Peter J Snyder, Ian M Thompson, Thomas G Travison, Kathy Wolski, Steven E Nissen
BACKGROUND: Testosterone exerts some effects on the cardiovascular system that could be considered beneficial; some other effects may potentially increase the risk of cardiovascular (CV) events. Neither the long-term efficacy nor safety of testosterone treatment has been studied in an adequately-powered randomized trial. METHODS: The Testosterone Replacement therapy for Assessment of long-term Vascular Events and efficacy ResponSE in hypogonadal men (TRAVERSE) study is a randomized, double-blind, placebo-controlled, parallel group, non-inferiority, multicenter study...
March 2022: American Heart Journal
https://read.qxmd.com/read/34499396/assessment-of-ecg-during-hybrid-comprehensive-telerehabilitation-in-heart-failure-patients-subanalysis-of-the-telerehabilitation-in-heart-failure-patients-telereh-hf-randomized-clinical-trial
#26
JOURNAL ARTICLE
Piotr Orzechowski, Ryszard Piotrowicz, Wojciech Zaręba, Renata Główczyńska, Dominika Szalewska, Sławomir Pluta, Robert Irzmański, Zbigniew Kalarus, Maciej Banach, Grzegorz Opolski, Michael J Pencina, Ilona Kowalik, Ewa Piotrowicz
BACKGROUND: Exercise training in heart failure (HF) patients should be monitored to ensure patients' safety. Electrocardiographic (ECG) telemonitoring was used to assess the safety of hybrid comprehensive telerehabilitation (HCTR). OBJECTIVE: Analysis of ECG recorded during HCTR in HF patients. METHODS: The TELEREH-HF multicenter, randomized, controlled trial enrolled 850 HF patients with New York Heart Association class I-III and left ventricular ejection fraction of ≤40%...
September 9, 2021: Annals of Noninvasive Electrocardiology
https://read.qxmd.com/read/34319362/extrapolating-survival-from-randomized-clinical-trial-data-possibilities-and-caution
#27
COMMENT
Laine Elliott Thomas, Ann Marie Navar, Michael J Pencina
No abstract text is available yet for this article.
November 1, 2021: JAMA Cardiology
https://read.qxmd.com/read/34262098/impact-of-train-test-sample-regimen-on-performance-estimate-stability-of-machine-learning-in-cardiovascular-imaging
#28
JOURNAL ARTICLE
Vikash Singh, Michael Pencina, Andrew J Einstein, Joanna X Liang, Daniel S Berman, Piotr Slomka
As machine learning research in the field of cardiovascular imaging continues to grow, obtaining reliable model performance estimates is critical to develop reliable baselines and compare different algorithms. While the machine learning community has generally accepted methods such as k-fold stratified cross-validation (CV) to be more rigorous than single split validation, the standard research practice in medical fields is the use of single split validation techniques. This is especially concerning given the relatively small sample sizes of datasets used for cardiovascular imaging...
July 14, 2021: Scientific Reports
https://read.qxmd.com/read/34009256/competing-risks-treatment-switching-and-informative-censoring
#29
COMMENT
Laine Elliott Thomas, Mintu P Turakhia, Michael J Pencina
No abstract text is available yet for this article.
August 1, 2021: JAMA Cardiology
https://read.qxmd.com/read/33999548/comparative-effectiveness-of-aspirin-dosing-in-cardiovascular-disease
#30
RANDOMIZED CONTROLLED TRIAL
W Schuyler Jones, Hillary Mulder, Lisa M Wruck, Michael J Pencina, Sunil Kripalani, Daniel Muñoz, David L Crenshaw, Mark B Effron, Richard N Re, Kamal Gupta, R David Anderson, Carl J Pepine, Eileen M Handberg, Brittney R Manning, Sandeep K Jain, Saket Girotra, Danielle Riley, Darren A DeWalt, Jeff Whittle, Ythan H Goldberg, Veronique L Roger, Rachel Hess, Catherine P Benziger, Peter Farrehi, Li Zhou, Daniel E Ford, Kevin Haynes, Jeffrey J VanWormer, Kirk U Knowlton, Jennifer L Kraschnewski, Tamar S Polonsky, Dan J Fintel, Faraz S Ahmad, James C McClay, James R Campbell, Douglas S Bell, Gregg C Fonarow, Steven M Bradley, Anuradha Paranjape, Matthew T Roe, Holly R Robertson, Lesley H Curtis, Amber G Sharlow, Lisa G Berdan, Bradley G Hammill, Debra F Harris, Laura G Qualls, Guillaume Marquis-Gravel, Madelaine F Modrow, Gregory M Marcus, Thomas W Carton, Elizabeth Nauman, Lemuel R Waitman, Abel N Kho, Elizabeth A Shenkman, Kathleen M McTigue, Rainu Kaushal, Frederick A Masoudi, Elliott M Antman, Desiree R Davidson, Kevin Edgley, James G Merritt, Linda S Brown, Doris N Zemon, Thomas E McCormick, Jacqueline D Alikhaani, Kenneth C Gregoire, Russell L Rothman, Robert A Harrington, Adrian F Hernandez
BACKGROUND: The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy. METHODS: Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis...
May 27, 2021: New England Journal of Medicine
https://read.qxmd.com/read/33992590/clinical-reasoning-and-prevention-of-cardiovascular-disease
#31
EDITORIAL
Sniderman Allan, Michael Pencina, George Thanassoulis
All the major lipid prevention guidelines agree that the 10-year risk of a cardiovascular event should be the primary method to select individuals for statin prevention of a cardiovascular event. They also all rely on LDL cholesterol (LDL-C) as the primary metric to monitor lipid lowering therapy. These two principles form the major instruments on which primary prevention of cardiovascular disease is based worldwide. Their application is based on decades of prospective observational studies and large numbers of randomized clinical trials...
May 2021: Journal of Clinical Lipidology
https://read.qxmd.com/read/33985509/effects-of-hybrid-comprehensive-telerehabilitation-on-cardiopulmonary-capacity-in-heart-failure-patients-depending-on-diabetes-mellitus-subanalysis-of-the-telereh-hf-randomized-clinical-trial
#32
RANDOMIZED CONTROLLED TRIAL
Renata Główczyńska, Ewa Piotrowicz, Dominika Szalewska, Ryszard Piotrowicz, Ilona Kowalik, Michael J Pencina, Wojciech Zaręba, Maciej Banach, Piotr Orzechowski, Sławomir Pluta, Robert Irzmański, Zbigniew Kalarus, Grzegorz Opolski
BACKGROUND: Type 2 diabetes mellitus (DM) is one of the most common comorbidities among patients with heart failure (HF) with reduced ejection fraction (HFrEF). There are limited data regarding efficacy of hybrid comprehensive telerehabilitation (HCTR) on cardiopulmonary exercise capacity in patients with HFrEF with versus those without diabetes. AIM: The aim of the present study was to analyze effects of 9-week HCTR in comparison to usual care on parameters of cardiopulmonary exercise capacity in HF patients according to history of DM...
May 13, 2021: Cardiovascular Diabetology
https://read.qxmd.com/read/33688913/incremental-benefits-of-machine-learning-when-do-we-need-a-better-mousetrap
#33
EDITORIAL
Matthew M Engelhard, Ann Marie Navar, Michael J Pencina
No abstract text is available yet for this article.
June 1, 2021: JAMA Cardiology
https://read.qxmd.com/read/33597683/the-project-baseline-health-study-a-step-towards-a-broader-mission-to-map-human-health
#34
REVIEW
Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R Bashir, Laura Beskow, Rosalia Blanco, Robert Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S Gambhir, Geoffrey S Ginsburg, Robert C Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S Huang, Glenn Jaffe, Daniel King, Lynne H Koweek, Curtis Langlotz, Yaping J Liao, Kenneth W Mahaffey, Kelly Marcom, William J Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H Muhlbaier, Rajan Munshi, L Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D Peterson, Fatima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J Willemink, Charlene A Wong
The Project Baseline Health Study (PBHS) was launched to map human health through a comprehensive understanding of both the health of an individual and how it relates to the broader population. The study will contribute to the creation of a biomedical information system that accounts for the highly complex interplay of biological, behavioral, environmental, and social systems. The PBHS is a prospective, multicenter, longitudinal cohort study that aims to enroll thousands of participants with diverse backgrounds who are representative of the entire health spectrum...
June 5, 2020: NPJ Digital Medicine
https://read.qxmd.com/read/33527740/an-aetiology-based-subanalysis-of-the-telerehabilitation-in-heart-failure-patients-telereh-hf-trial
#35
JOURNAL ARTICLE
Dominika Szalewska, Renata Główczyńska, Ryszard Piotrowicz, Ilona Kowalik, Michael J Pencina, Grzegorz Opolski, Wojciech Zaręba, Maciej Banach, Piotr Orzechowski, Sławomir Pluta, Robert Irzmański, Zbigniew Kalarus, Ewa Piotrowicz
AIMS: The aim of our study was to analyse the benefits of a 9 week hybrid comprehensive telerehabilitation (HCTR) programme in heart failure (HF) patients according to aetiology, as a subanalysis of the Telerehabilitation in Heart Failure Patients (TELEREH-HF) trial. METHODS AND RESULTS: Overall, 555 (65.3%) patients with ischaemic (IS) and 295 (34.7%) patients with non-ischaemic (NIS) HF aetiology were randomized. There were no differences between the effect of HCTR and usual care (UC) on the primary outcome of number of days alive and out of the hospital in 26 months from the time of randomization in either aetiology (Wilcoxon-Mann-Whitney test), and no heterogeneity of effect between the aetiologies was noted (van Elteren test, P = 0...
February 1, 2021: ESC Heart Failure
https://read.qxmd.com/read/33341183/the-dose-response-relationship-between-physical-activity-and-cardiometabolic-health-in-adolescents
#36
JOURNAL ARTICLE
Karishma Sriram, Hillary S Mulder, Heather R Frank, Taruni S Santanam, Asheley C Skinner, Eliana M Perrin, Sarah C Armstrong, Eric D Peterson, Michael J Pencina, Charlene A Wong
INTRODUCTION: This study examines the dose-response relationship between moderate-to-vigorous physical activity and cardiometabolic measures in adolescents. METHODS: Cross-sectional spline analyses were performed using 2003-2016 National Health and Nutrition Examination Survey data among adolescents (aged 12-19 years, N=9,195) on objectively measured (2003-2006) and self-reported (2007-2016) weekly mean minutes of moderate-to-vigorous physical activity and cardiometabolic measures (systolic and diastolic blood pressure, total cholesterol, high-density lipoprotein, BMI, and cardiorespiratory fitness)...
January 2021: American Journal of Preventive Medicine
https://read.qxmd.com/read/33233613/remote-monitoring-of-cardiac-implantable-electronic-devices-in-patients-undergoing-hybrid-comprehensive-telerehabilitation-in-comparison-to-the-usual-care-subanalysis-from-telerehabilitation-in-heart-failure-patients-telereh-hf-randomised-clinical-trial
#37
JOURNAL ARTICLE
Sławomir Pluta, Ewa Piotrowicz, Ryszard Piotrowicz, Ewa Lewicka, Wojciech Zaręba, Monika Kozieł, Ilona Kowalik, Michael J Pencina, Artur Oręziak, Andrzej Cacko, Dominika Szalewska, Renata Główczyńska, Maciej Banach, Grzegorz Opolski, Piotr Orzechowski, Robert Irzmański, Zbigniew Kalarus
BACKGROUND: The impact of cardiac rehabilitation on the number of alerts in patients with remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) is unknown. We compared alerts in RM and outcomes in patients with CIEDs undergoing hybrid comprehensive telerehabilitation (HCTR) versus usual care (UC). METHODS: Patients with heart failure (HF) after a hospitalization due to worsening HF within the last 6 months (New York Heart Association (NYHA) class I-III and left ventricular ejection fraction (LVEF) ≤40%) were enrolled in the TELEREH-HF study and randomised 1:1 to HCTR or UC...
November 20, 2020: Journal of Clinical Medicine
https://read.qxmd.com/read/33201199/testing-clinical-prediction-models
#38
LETTER
Benjamin A Goldstein, Michael J Pencina
No abstract text is available yet for this article.
November 17, 2020: JAMA
https://read.qxmd.com/read/33137309/impact-of-the-covid-19-pandemic-on-patterns-of-outpatient-cardiovascular-care
#39
JOURNAL ARTICLE
Jedrek Wosik, Megan E B Clowse, Robert Overton, Bhargav Adagarla, Nicoleta Economou-Zavlanos, Joanna Cavalier, Ricardo Henao, Jonathan P Piccini, Laine Thomas, Michael J Pencina, Neha J Pagidipati
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic brought about abrupt changes in the way health care is delivered, and the impact of transitioning outpatient clinic visits to telehealth visits on processes of care and outcomes is unclear. METHODS: We evaluated ordering patterns during cardiovascular telehealth clinic visits in the Duke University Health System between March 15 and June 30, 2020 and 30-day outcomes compared with in-person visits in the same time frame in 2020 and in 2019...
January 2021: American Heart Journal
https://read.qxmd.com/read/33119513/calibration-and-uncertainty-in-neural-time-to-event-modeling
#40
JOURNAL ARTICLE
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen J Chandross, Michael J Pencina, Lawrence Carin, Ricardo Henao
Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications. Existing time-to-event (survival) models have focused primarily on preserving pairwise ordering of estimated event times (i.e., relative risk). We propose neural time-to-event models that account for calibration and uncertainty while predicting accurate absolute event times. Specifically, an adversarial nonparametric model is introduced for estimating matched time-to-event distributions for probabilistically concentrated and accurate predictions...
October 29, 2020: IEEE Transactions on Neural Networks and Learning Systems
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