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Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium

Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium

Atherosclerotic cardiovascular disease (ASCVD) remains one of the leading causes of death worldwide [1] and is a burden to medical expenses in Europe [2]. The occurrence of ASCVD is highly correlated with conventional risk factors such as high blood pressure and smoking. Therefore, prevention and treatment of risk factors is of importance in reducing this burden. ASCVD can be prevented to a great extent by a healthy lifestyle [3].

Bart Scheenstra, Anke Bruninx, Florian van Daalen, Nina Stahl, Elizabeth Latuapon, Maike Imkamp, Lianne Ippel, Sulaika Duijsings-Mahangi, Djura Smits, David Townend, Inigo Bermejo, Andre Dekker, Laura Hochstenbach, Marieke Spreeuwenberg, Jos Maessen, Arnoud van 't Hof, Bas Kietselaer

JMIR Cardio 2022;6(2):e37437

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Following recommendations of Goff et al [12], which outlines the process of developing a risk equation for predicting the 10-year ASCVD risk of individuals between the ages of 40 and 79 years, from our dataset, we identified patients aged 40 to 79 years and without a prior history of ASCVD documented in their EMR. Of these patients, we identified 181 with a calculated 10-year primary risk of ASCVD score in their EMR.

Anietie U Andy, Sharath C Guntuku, Srinath Adusumalli, David A Asch, Peter W Groeneveld, Lyle H Ungar, Raina M Merchant

JMIR Cardio 2021;5(1):e24473

User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study

User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study

This study is the development phase of a proposed m Health intervention, the txt2heart trial, to support patient adherence to medications for atherosclerotic cardiovascular disease (ASCVD). This is an area of much-needed support as, globally, many individuals with risk factors for ASCVD remain undiagnosed, untreated, and uncontrolled [14-16].

Victoria Haldane, Joel Jun Kai Koh, Aastha Srivastava, Krichelle Wei Qi Teo, Yao Guo Tan, Rui Xiang Cheng, Yi Cheng Yap, Pei-Shi Ong, Rob M Van Dam, Jie Min Foo, Falk Müller-Riemenschneider, Gerald Choon-Huat Koh, Pin Sym Foong, Pablo Perel, Helena Legido-Quigley

JMIR Mhealth Uhealth 2019;7(5):e10465