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Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

For example, the topic “myocardial infarction” includes the terms “heart attack,” “symptoms of heart attack,” or “infarto de miocardio.” More information about Google Trends search results is available online [11].

Conor Senecal, Rajiv Gulati, Amir Lerman

JMIR Cardio 2020;4(1):e20426


Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset

Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset

)428.0Congestive heart failure, unspecified428.1Left heart failure428.20Systolic heart failure, unspecified428.21Acute systolic heart failure428.22Chronic systolic heart failure428.23Acute on chronic systolic heart failure428.30Diastolic heart failure, unspecified428.31Acute

Patrick Essay, Baran Balkan, Vignesh Subbian

JMIR Med Inform 2020;8(8):e19892


Length of Initial Prescription at Hospital Discharge and Long-Term Medication Adherence for Elderly, Post-Myocardial Infarction Patients: Protocol for an Interrupted Time Series Study

Length of Initial Prescription at Hospital Discharge and Long-Term Medication Adherence for Elderly, Post-Myocardial Infarction Patients: Protocol for an Interrupted Time Series Study

administrative databases held at ICES McMaster will be linked and analyzed for the MIPAD study: (1) CorHealth Cardiac Registry (CCN-CR), which is a clinical database containing information such as demographics, comorbidities (eg, diabetes, hypertension, prior heart

J D Schwalm, Noah M Ivers, Zachary Bouck, Monica Taljaard, Madhu K Natarajan, Lisa Dolovich, Kednapa Thavorn, Tara McCready, Erin O'Brien, Jeremy M Grimshaw

JMIR Res Protoc 2020;9(11):e18981


Evaluating the Impact of the HeartHab App on Motivation, Physical Activity, Quality of Life, and Risk Factors of Coronary Artery Disease Patients: Multidisciplinary Crossover Study

Evaluating the Impact of the HeartHab App on Motivation, Physical Activity, Quality of Life, and Risk Factors of Coronary Artery Disease Patients: Multidisciplinary Crossover Study

Clinical parameters such as weight, blood pressure, heart rhythm, exercise capacity (maximal oxygen consumption [VO2 max]), glucose (glycated hemoglobin [HbA1c]), and lipid profile (low-density lipoprotein and high-density lipoprotein [HDL] cholesterol) were

Supraja Sankaran, Paul Dendale, Karin Coninx

JMIR Mhealth Uhealth 2019;7(4):e10874


Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey

Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey

or equal heart age.Table 2Heart age calculator user outcomes after 10 weeks for survey respondents.OutcomesAll survey respondents (n=1303), n (%)Older heart age (n=1055), n (%)Younger or equal heart age (n=248), n (%)PsychologicalRecall of correct heart age

Carissa Bonner, Natalie Raffoul, Tanya Battaglia, Julie Anne Mitchell, Carys Batcup, Bill Stavreski

J Med Internet Res 2020;22(8):e19028


Effect of a Smartphone-Based App on the Quality of Life of Patients With Heart Failure: Randomized Controlled Trial

Effect of a Smartphone-Based App on the Quality of Life of Patients With Heart Failure: Randomized Controlled Trial

IntroductionHeart failure (HF) is a complex and progressive clinical syndrome that causes functional or structural impairments in the heart and results in impaired ventricular emptying or filling [1].

Mahboube Davoudi, Tahereh Najafi Ghezeljeh, Farveh Vakilian Aghouee

JMIR Nursing 2020;3(1):e20747