Smartphone and new tools for atrial fibrillation diagnosis: evidence for clinical applicability.

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in adults. AF increases the risk of heart failure, cardiac ischemic disease, dementia and Alzheimer's disease. Either clinical and subclinical AF increase the risk of stroke and worsen the patients' clinical outcome. The early diagnosis of AF episodes, even if asymptomatic or clinically silent, is of pivotal importance to ensure prompt and adequate thromboembolic risk prevention therapies. The development of technology is allowing new systematic mass screening possibilities, especially in patients with higher stroke risk. The mobile health devices available for AF detection are: smartphones, wrist-worn, earlobe sensors and handheld ECG. These devices showed a high accuracy in AF detection especially when a combined approach with single-lead ECG and photoplethysmography algorithms is used. The use of wearable devices for AF screening is a feasible method but more head-to-head comparisons between mHealth and medical devices are needed to establish their comparative effectiveness across different study populations.

Defining the pattern of initiation of monomorphic ventricular tachycardia using the beat-to-beat intervals recorded on implantable cardioverter defibrillators from the RAFT study: A computer-based algorithm.

Arrhythmia onset pattern may have important implications on morbidity, recurrent implantable cardioverter defibrillator (ICD) shocks, and mortality, given the proposed correlation between initiation pattern and arrhythmia mechanism. Therefore, we developed and tested a computer-based algorithm to differentiate the pattern of initiation based on the beat-to-beat intervals of the ventricular tachycardia (VT) episodes in ICD recordings from the Resynchronization-Defibrillation for Ambulatory Heart Failure Trial (RAFT). Intervals on intracardiac electrograms from ICDs were analyzed backwards starting from the marker of VT detection, comparing each interval with the average tachycardia cycle length. If the morphology of the beat initiating the VT was similar to the morphology of the VT itself, the episode was considered sudden. If the morphology of the beat initiating the VT was not similar to the morphology of the VT itself, the episode was considered non-sudden. The capability of the algorithm to classify the pattern of initiation based only on the beat-to-beat intervals allows for the classification and analysis of large datasets to further investigate the clinical importance of classifying VT initiation. If analysis of the VT initiation proves to be of clinical value, this algorithm could potentially be integrated into ICD software, which would make it easily accessible and potentially helpful in clinical decision-making.

Clinical Assessment of the Congenital Absence of Palmaris Longus and Flexor Digitorum Superficialis Muscles in Young Saudi Population.

Introduction. Congenital Palmaris Longus (PL) absence was found in 15%-20.25% of population globally. This condition and Flexor Digitorum Superficialis (FDS) tendon absence in little finger are not known in Saudi Arabia. We studied prevalence of PL and FDS agenesis in Saudi Arabian population. Methods. A random cross-sectional study was carried out after an ethical approval in the Riyadh universities. Schaeffer's test was used to examine PL absence. The Modified test was used to examine FDS absence. Data was analyzed using Microsoft Excel and the SPSS Software version 22. Results. The volunteers, 331, males 164 (49.5%) and females 167 (50.5%), mean age of 23 (SD ± 5.3), showed right hand dominance in 294 (88.8%) and bilateral absence of PL and FDS in 15.1% and 14.8%, respectively. The hand dominance showed no significant relation between PL and FDS absence, p value = 0.788, 0.835, respectively. Generally, we found a weak correlation between absence of the PL and FDS, p value ≥ 0.595. Conclusion. The bilateral absence of PL and FDS was found as 15.1% and 14.8%, respectively. Variation of the FDS tendon absence was an independent entity for the PL absence. The dominance of hands was not related to the tested variables found in PL and FDS agenesis.

Prevalence and factors associated with the use of illicit substances among male university students in Kuwait.

OBJECTIVES: To estimate the prevalence of illicit use of substances and identify the factors associated with illicit drug use among male students in the state-run Kuwait University and private universities in Kuwait. SUBJECTS AND METHODS: The study was a cross-sectional survey with a sample of 1,587 male students from both private universities (n = 869) and the public (n = 718) Kuwait University in Kuwait. A self-administered questionnaire was used to collect data. Overall lifetime prevalence of substance use was computed with 95% confidence interval. Logistic regression was used to identify the factors influencing substance use, which was adjusted for potential confounders. RESULTS: The total lifetime prevalence of illicit drug use was 14.4% and the most frequently used illicit substance was marijuana (11%). The substance use in general varied significantly (p ≤ 0.001) between private (18%) and public (10%) universities. Multivariate logistic regression model revealed that drug use was positively associated with age, poor academic performance, high family income, being an only child, divorced parents, and graduation from a private high school. CONCLUSION: Drug use among male university students in Kuwait was high and requires attention and appropriate intervention. The factors identified with drug use in this study could be utilized to develop appropriate public health policies and preventive measures that may improve the health status of the student population.