Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study

Atrial fibrillation (AF) is a common arrhythmia affecting 8–10% of the population older than 80 years old. The importance of early diagnosis of atrial fibrillation has been broadly recognized since arrhythmias significantly increase the risk of stroke, heart failure and tachycardia-induced cardiomyopathy with reduced cardiac function. However, the prevalence of atrial fibrillation is often underestimated due to the high frequency of clinically silent atrial fibrillation as well as paroxysmal atrial fibrillation, both of which are hard to catch by routine physical examination or 12-lead electrocardiogram (ECG). The development of wearable devices has provided a reliable way for healthcare providers to uncover undiagnosed atrial fibrillation in the population, especially those most at risk. Furthermore, with the advancement of artificial intelligence and machine learning, the technology is now able to utilize the database in assisting detection of arrhythmias from the data collected by the devices. In this review study, we compare the different wearable devices available on the market and review the current advancement in artificial intelligence in diagnosing atrial fibrillation. We believe that with the aid of the progressive development of technologies, the diagnosis of atrial fibrillation shall be made more effectively and accurately in the near future

Maternal Outcomes in Women with Peripartum Cardiomyopathy versus Age and Race-Matched Peers in an Urban US Community

Peripartum cardiomyopathy (PPCM) is idiopathic systolic congestive heart failure around pregnancy. Comparisons with matched controls are lacking. We investigated maternal characteristics and outcomes up to 12 months in a cohort admitted to Montefiore Health System in Bronx, New York 1999–2015 (n = 53 cases and n = 92 age and race-matched controls, >80% Black or Hispanic/Latina). Compared to peers, women with PPCM had more chronic hypertension (24.5% vs. 8.8%, p = 0.001), prior gestational hypertension (20.8% vs. 5.4%, p = 0.001), prior preeclampsia (17.0% vs. 3.3%, p = 0.001), familial dilated cardiomyopathy (5.7% vs. 0.0%, p = 0.04), smoking (15.1% vs. 2.2%, p = 0.001), lower summary socioeconomic scores (−4.12 (IQR −6.81, −2.13) vs. −1.62 (IQR −4.20, −0.74), p < 0.001), public insurance (67.9% vs. 29.3% p = 0.001), and frequent depressive symptoms. Women with PPCM were often admitted antepartum (34.0% vs. 18.5%, p = 0.001) and underwent Cesarean section (65.4% vs. 30.4%, p = 0.001), but had less preterm labor (27.3% vs. 51.1%, p = 0.001). Women were rarely treated with bromocriptine (3.8%), frequently underwent left ventricular assist device placement (9.4% and n = 2 with menorrhagia requiring transfusion and progesterone) or heart transplantation (3.8%), but there were no in-hospital deaths. In sum, women with PPCM had worse socioeconomic disadvantage and baseline health than matched peers. Programs addressing social determinants of health may be important for women at high risk of PPCM