Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients.

The COVID-19 pandemic has accelerated the adoption of innovative healthcare methods, including remote patient monitoring. In the setting of limited healthcare resources, outpatient management of individuals newly diagnosed with COVID-19 was commonly implemented, some taking advantage of various personal health technologies, but only rarely using a multi-parameter chest-patch for continuous monitoring. Here we describe the development and validation of a COVID-19 decompensation index (CDI) model based on chest patch-derived continuous sensor data to predict COVID-19 hospitalizations in outpatient-managed COVID-19 positive individuals, achieving an overall AUC of the ROC Curve of 0.84 on 308 event negative participants, and 22 event positive participants, out of an overall study cohort of 400 participants. We retrospectively compare the performance of CDI to standard of care modalities, finding that the machine learning model outperforms the standard of care modalities in terms of both numbers of events identified and with a lower false alarm rate. While only a pilot phase study, the CDI represents a promising application of machine learning within a continuous remote patient monitoring system.

Understanding Determinants of Cardiovascular Health in a Mexican American Community.

Cardiovascular disease (CVD) is the leading cause of death in Hispanic Americans. Social and physical determinants of health unique to this community must be understood before interventions can be designed and implemented. This article describes a CVD risk assessment conducted in a primarily Mexican American community, using Healthy People 2020 as a model. Social (language, culture, awareness of CVD, and socio-economic status) and physical (presence and use of recreation areas, presence of grocery stores, public transportation, and environmental pollution) determinants of health as well as access to health services were assessed. Fifteen community leaders were interviewed using guided interviews. Database searches and direct observations were conducted. Using these methods provided comprehensive assessment of social and physical determinants of health, and access issues that were unique to the community studied. Findings demonstrated greater awareness of diabetes than CVD as a health problem, with little knowledge of CVD risk factors. Lack of access to health services (lack of insurance, lack of a medical home) and presence of cultural and socioeconomic barriers such as language, unemployment, low income, and lack of insurance were identified. The physical determinants such as environment presented fewer barriers, with adequate access to fruits and vegetables, transportation, and parks. Results revealed target areas for intervention.

Botulinum toxin a can positively impact first impression.

BACKGROUND First impression is influenced by facial appearance and improved by cosmetic surgery. OBJECTIVE We wanted to determine if treatment with botulinum toxin A (BTxnA) would improve first impression. MATERIALS AND METHODS Women received BTxnA in the forehead. Photos were taken prior to, and 1 week after, final BTxnA injection in smiling and relaxed poses. Photos were divided into books with each subject represented only once. Evaluators completed a survey rating first impression on various measures of success for each photo. RESULTS No differences were seen for social skills, financial, or relationship success scales. A significant decrease in first impression scores between treatment photos was seen for academic performance and occupational success. However, analysis of between-subject effects found that "smile/relax" accounted for the decreased score in both scales. Significant increases in first impression scores were seen for dating success, attractiveness, and athletic success scales where smile/relax and BTxnA contributed significantly to the improved scores. CONCLUSIONS BTxnA improved first impression scores for dating success, attractiveness, and athletic success scales. Academic performance and occupational success scores were not affected by BTxnA when the smile/relax variable was included. The smile/relax variable was a more important predictor for academic performance and occupational success scores.