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Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study

Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study

Heart rate data were obtained from a telemetry electrocardiograph that calculates the heart rate every 3 seconds based on the previous RR interval. Pulse rate data were obtained from an Apple Watch with built-in PPG; in Apple Watch workout mode, the pulse rate is calculated every 5-6 seconds.

Daisuke Hiraoka, Tomohiko Inui, Eiryo Kawakami, Megumi Oya, Ayumu Tsuji, Koya Honma, Yohei Kawasaki, Yoshihito Ozawa, Yuki Shiko, Hideki Ueda, Hiroki Kohno, Kaoru Matsuura, Michiko Watanabe, Yasunori Yakita, Goro Matsumiya

JMIR Form Res 2022;6(8):e35396

Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study

Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study

The wearable device used in this study, the Philips Health Watch [13], continuously measures physical parameters such as heart rate (HR), number of steps, and amount of physical activity. Combining parameters from the health watch might facilitate a more physiological and comprehensive assessment of functional status before and after TAVI.

Rob Eerdekens, Jo Zelis, Herman ter Horst, Caia Crooijmans, Marcel van 't Veer, Danielle Keulards, Marcus Kelm, Gareth Archer, Titus Kuehne, Guus Brueren, Inge Wijnbergen, Nils Johnson, Pim Tonino

JMIR Mhealth Uhealth 2024;12:e53964

Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data

Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data

The best performing model was model 1, which included the GFS domains and CCI items and had an accuracy of 83%, an AUROC curve of 90%, and a true positive rate of 81%. Model 2 had slightly poorer performance, with an accuracy of 82%, an AUROC curve of 90%, and a true positive rate of 80%. The AUROC curve for model 1 is shown in Figure S2 in Multimedia Appendix 1. Figure 1 shows the SHAP value dot plots for the 30 most important features for model 1.

Johannes Heyl, Flavien Hardy, Katie Tucker, Adrian Hopper, Maria J M Marchã, Annakan V Navaratnam, Tim W R Briggs, Jeremy Yates, Jamie Day, Andrew Wheeler, Sue Eve-Jones, William K Gray

Interact J Med Res 2022;11(2):e41520

Human–Computer Agreement of Electrocardiogram Interpretation for Patients Referred to and Declined for Primary Percutaneous Coronary Intervention: Retrospective Data Analysis Study

Human–Computer Agreement of Electrocardiogram Interpretation for Patients Referred to and Declined for Primary Percutaneous Coronary Intervention: Retrospective Data Analysis Study

According to the British Heart Foundation, circulatory diseases cause more than one-quarter (27%) of all deaths in the United Kingdom [1]. In the United Kingdom, more than 100,000 hospital admissions each year are due to heart attacks (280 admissions per day) [1]. Acute coronary syndrome occurs due to a restriction in blood flow in the coronary arteries [2].

Aleeha Iftikhar, Raymond Bond, Victoria Mcgilligan, Stephen J Leslie, Charles Knoery, James Shand, Adesh Ramsewak, Divyesh Sharma, Anne McShane, Khaled Rjoob, Aaron Peace

JMIR Med Inform 2021;9(3):e24188

Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Pilot Randomized Controlled Trial

Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Pilot Randomized Controlled Trial

Heart failure (HF) is a burdensome condition that affects over 64 million patients worldwide [1]. In the United States, total HF medical costs, mostly generated by inpatient hospitalizations [2], are estimated to increase from US $21 billion in 2012 to US $53 billion by 2030 [3]. HF is a leading cause of 30-day readmissions in the United States [4] and up to a quarter of these are preventable [5].

Jocelyn A Carter Carter, Natalia Swack, Eric Isselbacher, Karen Donelan, Anne Thorndike

JMIR Cardio 2024;8:e59948

Contactless and Calibration-Free Blood Pressure and Pulse Rate Monitor for Screening and Monitoring of Hypertension: Cross-Sectional Validation Study

Contactless and Calibration-Free Blood Pressure and Pulse Rate Monitor for Screening and Monitoring of Hypertension: Cross-Sectional Validation Study

Indeed, BP is also the most important aspect of health for a patient with diagnosed hypertension to try to control (ie, keep at safe levels) to reduce their risk of CVD: every 10 mm Hg reduction in BP down to a systolic BP of 110 mm Hg results in a 17% reduction in coronary heart disease, 27% reduction in stroke, 28% reduction in heart failure, and 13% reduction in all-cause mortality [8].

Melissa Kapoor, Blair Holman, Carolyn Cohen

JMIR Cardio 2024;8:e57241

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

There is evidence highlighting that small polyps may be missed at colonoscopy with a miss rate for adenomas as high as 26% [3]. The primary colonoscopy quality indicator is the adenoma detection rate (ADR). Given that ADR is inversely proportional to postcolonoscopy CRC risk, with each 1% increase in ADR equivalent to a 3% decrease in the subsequent risk of cancer [4], there is an unmet need to tackle the problems that prevent high-quality colonoscopy.

Scarlet Nazarian, Ben Glover, Hutan Ashrafian, Ara Darzi, Julian Teare

J Med Internet Res 2021;23(7):e27370

Digital Tracking of Physical Activity, Heart Rate, and Inhalation Behavior in Patients With Pulmonary Arterial Hypertension Treated With Inhaled Iloprost: Observational Study (VENTASTEP)

Digital Tracking of Physical Activity, Heart Rate, and Inhalation Behavior in Patients With Pulmonary Arterial Hypertension Treated With Inhaled Iloprost: Observational Study (VENTASTEP)

Further aims were to digitally monitor heart rate and iloprost inhalation behavior, to explore temporal patterns in activity level and heart rate relative to iloprost inhalation periods, and to evaluate changes in clinical outcome measures, daily physical activity, heart rate, and sleep quality after initiation of inhaled iloprost therapy. The study was not designed to investigate or confirm the effectiveness and safety of iloprost (Ventavis).

Barbara Stollfuss, Manuel Richter, Daniel Drömann, Hans Klose, Martin Schwaiblmair, Ekkehard Gruenig, Ralf Ewert, Martin C Kirchner, Frank Kleinjung, Valeska Irrgang, Christian Mueller

J Med Internet Res 2021;23(10):e25163

Measurement of Heart Rate Using the Withings ScanWatch Device During Free-living Activities: Validation Study

Measurement of Heart Rate Using the Withings ScanWatch Device During Free-living Activities: Validation Study

In addition to providing physical activity metrics, such as step counts, distance covered, and energy expenditure, many devices now also incorporate an optical sensor that estimates the wearer’s heart rate (HR). These optical sensors estimate HR by means of a technique called photoplethysmography (PPG). This noninvasive optical technique detects blood volume changes in the microvascular bed of tissue beneath the skin [2].

Oonagh M Giggins, Julie Doyle, Suzanne Smith, Daniel R Crabtree, Matthew Fraser

JMIR Form Res 2022;6(9):e34280