Markdalton8934

We aimed to evaluate the effectiveness of a single institution's hand surgery clinical care guidelines at preventing the transmission of COVID-19. This is an anonymous survey study distributed to all employees within the division of hand surgery at a single quaternary-care academic medical facility. The primary outcome measure was the result of their employee surveillance and/or symptom initiated COVID-19 antibody (prior transmission) or polymerase chain reaction test (active infection) after institution of a COVID-19 exposure and transmission mitigating clinical care protocol. Employees were also asked multiple questions regarding their perceived and actual risk of exposure to COVID-19 while performing their clinical duties. Fifty-five of 69 (79.7%) hand clinic personnel employed during the COVID-19 surge from March 23, 2020 to May 18, 2020 (therapist 15/19; consulting physicians 11/16, nurses 10/11; hand surgery residents 6/6; hand surgery fellows 4/5; physician assistant/nurse practitioners 4/7; clinical desk operations specialists 3/4) responded to the survey. Forty-two employees were tested and all were negative for COVID-19 antibodies (42/42). Seventeen (17/55, 30.9%) employees had a known exposure to COVID-19 of which 13 of the 17 (76.5%) were from patients. Ten of these 17 (58.8%) employees were tested for COVID-19 antibodies and were negative. Twenty four of the 55 (43.6%) respondents felt they were at high risk for transmission of COVID-19. These data support ongoing care of emergent and urgent hand surgery patients during the COVID-19 surge and safe operation of an elective hand surgery practice amidst the ongoing pandemic through a multimodal approach.In this report, we describe an unusual case of progressive hemifacial atrophy or Parry-Romberg syndrome in a 10-year-old girl with progressive hemifacial microsomia and limb anomalies who had brain magnetic resonance imaging (MRI) findings of white matter hyper-intensities. Patients typically present with neurological manifestations such as epilepsy, facial pain, and migraines and ophthalmological symptoms in conjunction with white matter lesions. The patient demonstrated normal cognition and psychomotor development despite the presence of white matter lesions in her frontal lobe that is commonly associated with neurological symptoms. This report brings attention to the complicated relationship between facial, limb and brain imaging findings in Parry-Romberg syndrome and differentiates it from hemifacial microsomia syndrome.

Abdominal pain adversely impacts children with functional gastrointestinal disorders (FGIDs) or organic gastrointestinal disorders (OGIDs); findings are inconsistent regarding diagnosis and health-related quality of life (HRQoL). This study utilizes a positive psychology framework to understand the experience of youth with abdominal pain (i.e., do positive psychological factors, such as optimism and pain self-efficacy, relate to higher HRQoL?). Consistent with a protective factor model of resilience, in which personal assets may serve as buffers between risk factors and negative outcomes, optimism and pain self-efficacy were examined as they relate to HRQoL in youth with abdominal pain. Specifically, exploratory moderational analyses examined a) if optimism and pain self-efficacy moderate the relation between pain and HRQoL, and b) whether diagnostic status moderated the relation between optimism/pain self-efficacy and HRQoL.

In a cross-sectional, observational study, youth (n=98; M

=13, SD=3) experiencing abdominal pain related to FGIDs or OGIDs and one of their parents participated. Measures included pain intensity, optimism, pain self-efficacy, and HRQoL. Analyses controlled for diagnosis, age, and gender.

Higher pain and age related to lower HRQoL. Higher levels of optimism and pain self-efficacy associated with HRQoL beyond demographics. Optimism and pain self-efficacy did not moderate the relation between pain and HRQoL. Diagnostic status did not moderate the relation between optimism or pain self-efficacy and HRQoL.

Our results suggest positive relations between positive psychological factors (optimism, pain self-efficacy) and HRQoL in youth with abdominal pain. Such factors could be further examined in intervention studies.

Our results suggest positive relations between positive psychological factors (optimism, pain self-efficacy) and HRQoL in youth with abdominal pain. Such factors could be further examined in intervention studies.

Chronic pain is conceptualized as a biopsychosocial phenomenon that involves both physical and emotional processes. The vast majority of research regarding these facets of chronic pain characterizes differences between individuals. In this review, we describe problems with assuming that differences between persons accurately characterize within-person processes. We also provide a systematic review of studies that have examined within-person relationships between pain and affect among individuals with chronic pain.

Articles published by December 2020 that pertained to within-person assessment of pain and emotion, affect, or mood were identified. Data regarding study design, adherence, and concurrent and prospective relationships among pain and affect variables were extracted and summarized.

Of 611 abstracts, 55 studies met inclusion criteria. Results suggest that individuals with chronic pain tend to experience increased negative affect and decreased positive affect when experiencing more severe pain (r

arch is necessary to understand the implications of such variability for the assessment and treatment of chronic pain.Owing to widely available digital ECG data and recent advances in deep learning techniques, automatic ECG arrhythmia classification based on deep neural network has gained growing attention. EX 527 order However, existing neural networks are mainly validated on single‑lead ECG, not involving the correlation and difference between multiple leads, while multiple leads ECG provides more complete description of the cardiac activity in different directions. This paper proposes a 12‑lead ECG arrhythmia classification method using a cascaded convolutional neural network (CCNN) and expert features. The one-dimensional (1-D) CNN is firstly designed to extract features from each single‑lead signal. Subsequently, considering the temporal correlation and spatial variability between multiple leads, features are cascaded as input to two-dimensional (2-D) densely connected ResNet blocks to classify the arrhythmia. Furthermore, features based on expert knowledge are extracted and a random forest is applied to get a classification probability.