Diagnostic accuracy of apple watch ECG outputs in identifying dysrhythmias: A comparison with 12-Lead ECG in emergency department.

BACKGROUND: Wearable devices, particularly smartwatches like the Apple Watch (AW), can record important cardiac information, such as single­lead electrocardiograms (ECGs). Although they are increasingly used to detect conditions such as atrial fibrillation (AF), research on their effectiveness in detecting a wider range of dysrhythmias and abnormal ECG findings remains limited. The primary objective of this study is to evaluate the accuracy of the AW in detecting various cardiac rhythms by comparing it with standard ECG's lead-I. METHODS: This single-center prospective observational study was conducted in a tertiary care emergency department (ED) between 1.10.2023 and 31.10.2023. The study population consisted of all patients assessed in the critical care areas of the ED, all of whom underwent standard 12­lead ECGs for various clinical reasons. Participants in the study were included consecutively. An AW was attached to patients' wrists and an ECG lead-I printout was obtained. Heart rate, rhythm and abnormal findings were evaluated and compared with the lead-I of standard ECG. Two emergency medicine specialists performed the ECG evaluations. Rhythms were categorized as normal sinus rhythm and abnormal rhythms, while ECG findings were categorized as the presence or absence of abnormal findings. AW and 12­lead ECG outputs were compared using the McNemar test. Predictive performance analyses were also performed for subgroups. Bland-Altman analysis using absolute mean differences and concordance correlation coefficients was used to assess the level of heart rate agreement between devices. RESULTS: The study was carried out on 721 patients. When analyzing ECG rhythms and abnormal findings in lead-I, the effectiveness of AW in distinguishing between normal and abnormal rhythms was similar to standard ECGs (p = 0.52). However, there was a significant difference between AW and standard ECGs in identifying abnormal findings in lead-I (p < 0.05). Using Bland-Altman analysis for heart rate assessment, the absolute mean difference for heart rate was 0.81 ± 6.12 bpm (r = 0.94). There was strong agreement in 658 out of 700 (94%) heart rate measurements. CONCLUSION: Our study indicates that the AW has the potential to detect cardiac rhythms beyond AF. ECG tracings obtained from the AW may help evaluate cardiac rhythms prior to the patient's arrival in the ED. However, further research with a larger patient cohort is essential, especially for specific diagnoses.

Prospective, multicenter, Turkish out-of-hospital cardiac arrest study: TROHCA.

OBJECTIVES: There is no sufficient data to provide a clear picture of out-of-hospital cardiac arrest (OHCA) across Türkiye. This study is the first to present the prognostic outcomes of OHCA cases and the factors associated with these outcomes. MATERIALS AND METHODS: The study was conducted in a prospective, observational, multicenter design under the leadership of the Emergency Medicine Association of Turkey Resuscitation Study Group. OHCA cases aged 18 years and over who were admitted to 28 centers from Türkiye were included in the study. Survived event, return of spontaneous circulation (ROSC), survival to hospital discharge, and neurological outcome at discharge were investigated as primary outcomes. RESULTS: One thousand and three patients were included in the final analysis. 61.1% of the patients were male, and the average age was 67.0 ± 15.2. Cardiopulmonary resuscitation (CPR) was performed on 86.5% of the patients in the prehospital period by emergency medical service, and bystander CPR was performed on only 2.9% by nonhealth-care providers. As a result, the survived event rate was found to be 6.9%. The survival rate upon hospital discharge was 4.4%, with 2.7% of patients achieving a good neurological outcome upon discharge. In addition, the overall ROSC and sustained ROSC rates were 45.2% and 33.4%, respectively. In the multiple logistic regression analysis, male gender, initial shockable rhythm, a shorter prehospital duration of CPR, and the lack of CPR requirement in the emergency department were determined to be independent predictors for the survival to hospital discharge. CONCLUSION: Compared to global data, survival to hospital discharge and good neurological outcome rates appear to be lower in our study. We conclude that this result is related to low bystander CPR rates. Although not the focus of this study, inadequate postresuscitative care and intensive care support should also be discussed in this regard. It is obvious that this issue should be carefully addressed through political moves in the health and social fields.