Quantitative assessments of finger individuation with an instrumented glove.

BACKGROUND: In clinical and research settings, hand dexterity is often assessed as finger individuation, or the ability to move one finger at a time. Despite its clinical importance, there is currently no standardized, sufficiently sensitive, or fully objective platform for these evaluations. METHODS: Here we developed two novel individuation scores and tested them against a previously developed score using a commercially available instrumented glove and data collected from 20 healthy adults. Participants performed individuation for each finger of each hand as well as whole hand open-close at two study visits separated by several weeks. Using the three individuation scores, intra-class correlation coefficients (ICC) and minimal detectable changes (MDC) were calculated. Individuation scores were further correlated with subjective assessments to assess validity. RESULTS: We found that each score emphasized different aspects of individuation performance while generating scores on the same scale (0 [poor] to 1 [ideal]). These scores were repeatable, but the quality of the metrics varied by both equation and finger of interest. For example, index finger intra-class correlation coefficients (ICC's) were 0.90 (< 0.0001), 0.77 (< 0.001), and 0.83 (p < 0.0001), while pinky finger ICC's were 0.96 (p < 0.0001), 0.88 (p < 0.0001), and 0.81 (p < 0.001) for each score. Similarly, MDCs also varied by both finger and equation. In particular, thumb MDCs were 0.068, 0.14, and 0.045, while index MDCs were 0.041, 0.066, and 0.078. Furthermore, objective measurements correlated with subjective assessments of finger individuation quality for all three equations (ρ = - 0.45, p < 0.0001; ρ = - 0.53, p < 0.0001; ρ = - 0.40, p < 0.0001). CONCLUSIONS: Here we provide a set of normative values for three separate finger individuation scores in healthy adults with a commercially available instrumented glove. Each score emphasizes a different aspect of finger individuation performance and may be more uniquely applicable to certain clinical scenarios. We hope for this platform to be used within and across centers wishing to share objective data in the physiological study of hand dexterity. In sum, this work represents the first healthy participant data set for this platform and may inform future translational applications into motor physiology and rehabilitation labs, orthopedic hand and neurosurgery clinics, and even operating rooms.

Quantifying Hand Strength and Isometric Pinch Individuation Using a Flexible Pressure Sensor Grid.

Modulating force between the thumb and another digit, or isometric pinch individuation, is critical for daily tasks and can be impaired due to central or peripheral nervous system injury. Because surgical and rehabilitative efforts often focus on regaining this dexterous ability, we need to be able to consistently quantify pinch individuation across time and facilities. Currently, a standardized metric for such an assessment does not exist. Therefore, we tested whether we could use a commercially available flexible pressure sensor grid (Tekscan F-Socket [Tekscan Inc., Norwood, MA, USA]) to repeatedly measure isometric pinch individuation and maximum voluntary contraction (MVC) in twenty right-handed healthy volunteers at two visits. We developed a novel equation informed by the prior literature to calculate isometric individuation scores that quantified percentage of force on the grid generated by the indicated digit. MVC intra-class correlation coefficients (ICCs) for the left and right hands were 0.86 (p < 0.0001) and 0.88 (p < 0.0001), respectively, suggesting MVC measurements were consistent over time. However, individuation score ICCs, were poorer (left index ICC 0.41, p = 0.28; right index ICC -0.02, p = 0.51), indicating that this protocol did not provide a sufficiently repeatable individuation assessment. These data support the need to develop novel platforms specifically for repeatable and objective isometric hand dexterity assessments.

Synchronization of kinetic and kinematic hand tasks with electrocorticography and cortical stimulation during awake craniotomies.

Awake craniotomies provide unique and invaluable scientific opportunities for neurophysiological experimentation in consenting human subjects. While such experimentation carries a long history, rigorous reporting of methodologies focusing on synchronizing data across multiple platforms is not universally reported and often not translatable to across operating rooms, facilities, or behavioral tasks. Therefore, here we detail an intraoperative data synchronization methodology designed to work across multiple commercially available platforms to collect behavioral and surgical field videos, electrocorticography, brain stimulation timing, continuous finger joint angles, and continuous finger force production. Our technique was developed to be nonobstructive to operating room (OR) staff and generalizable to a variety of hand-based tasks. We hope that the detailed reporting of our methods will support the scientific rigor and reproducibility of future studies, as well as aid other groups interested in performing related experiments.

Underrepresentation of African Americans in Plastic Surgery: Examining Demographics, Specialty Factors, and Medical School Experiences.

BACKGROUND: Racial representation among medical trainees translates into physicians that are able to communicate with diverse patient populations and are perceptive to health disparities. This is important within plastic surgery where an optimal physicianpatient relationship is essential to health outcomes. OBJECTIVE: The purpose of this study is to address underrepresentation of African Americans (AA) in plastic surgery through improving understanding of factors that may contribute to AA medical student interest in plastic surgery. DESIGN: This was a voluntary, cross-sectional survey. An online survey was designed to collect information on demographics, specialty factor importance, medical school experiences, and plastic surgery interest among medical students. The survey was distributed to medical students within three national medical organizations between August 2018 and February 2019. The following groups of respondents were statistically COMPARED: AAs interested vs. AAs not interested in plastic surgery and AA vs. Caucasian medical students both interested in plastic surgery. SETTING: Online survey for medical students in the United States. PARTICIPANTS: All 428 participants were medical students that belonged to at least 1 of the 3 national medical organizations between August 2018 and February 2019. RESULTS: The survey was completed by 428 participants of which 142 were excluded for incomplete surveys, leaving 286 (66.8%) participants to be included in the study. Among AA medical students, 128 (75.3%) were not interested in Plastic Surgery and 42 (24.7%) were interested. The 2 groups were similar demographically but differed significantly across multiple specialty factors and medical school experiences (p < 0.05). When compared to interested Caucasian medical students (n = 30), interested AA medical students differed significantly in demographics, specialty factors, and medical school experiences (p < 0.05). CONCLUSIONS: This study supports the implementation of medical school interventions emphasizing specialty factors and medical school experiences unique to AA medical students interested in plastic surgery to promote their application into the specialty.

Heart Disease, Advanced Age, Minority Race, and Hispanic Ethnicity Are Associated With Mortality in COVID-19 Patients.

BACKGROUND: The objective of this study was to determine the associations between heart disease, obesity, and demographic factors and increased COVID-19 mortality. METHODS: We extracted deidentified patient-level data from the Froedtert Health System and Children's Hospital of Wisconsin and used descriptive statistics and multivariable logistic regression to characterize relationships between heart disease, obesity, age group, sex, race and ethnicity and mortality following COVID-19 diagnosis. RESULTS: We found heart disease (adjusted odds ratio [AOR] 2.85; 95% CI, 2.11-8.83) and other demographic factors are significant predictors of increased mortality in COVID-19 patients. However, obesity was not a significant predictor of mortality (AOR 1.04; 95% CI, 0.53- 3.10). DISCUSSION: These unique results indicate some comorbid conditions and patient demographics contribute more strongly to mortality in COVID-19 patients.