Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study.

BACKGROUND: Data collected via wearables may complement in-clinic assessments to monitor subclinical heart failure (HF). OBJECTIVES: Evaluate the association of sensor-based digital walking measures with HF stage and characterize their correlation with in-clinic measures of physical performance, cardiac function and participant reported outcomes (PROs) in individuals with early HF. METHODS: The analyzable cohort included participants from the Project Baseline Health Study (PBHS) with HF stage 0, A, or B, or adaptive remodeling phenotype (without risk factors but with mild echocardiographic change, termed RF-/ECHO+) (based on available first-visit in-clinic test and echocardiogram results) and with sufficient sensor data. We computed daily values per participant for 18 digital walking measures, comparing HF subgroups vs stage 0 using multinomial logistic regression and characterizing associations with in-clinic measures and PROs with Spearman's correlation coefficients, adjusting all analyses for confounders. RESULTS: In the analyzable cohort (N=1265; 50.6% of the PBHS cohort), one standard deviation decreases in 17/18 walking measures were associated with greater likelihood for stage-B HF (multivariable-adjusted odds ratios [ORs] vs stage 0 ranging from 1.18-2.10), or A (ORs vs stage 0, 1.07-1.45), and lower likelihood for RF-/ECHO+ (ORs vs stage 0, 0.80-0.93). Peak 30-minute pace demonstrated the strongest associations with stage B (OR vs stage 0=2.10; 95% CI:1.74-2.53) and A (OR vs stage 0=1.43; 95% CI:1.23-1.66). Decreases in 13/18 measures were associated with greater likelihood for stage-B HF vs stage A. Strength of correlation with physical performance tests, echocardiographic cardiac-remodeling and dysfunction indices and PROs was greatest in stage B, then A, and lowest for 0. CONCLUSIONS: Digital measures of walking captured by wearable sensors could complement clinic-based testing to identify and monitor pre-symptomatic HF.

A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies.

The validation of myoelectric prosthetic control strategies for individuals experiencing upper-limb loss is hindered by the time and cost affiliated with traditional custom-fabricated sockets. Consequently, researchers often rely upon virtual reality or robotic arms to validate novel control strategies, which limits end-user involvement. Prosthetists fabricate diagnostic check sockets to assess and refine socket fit, but these clinical techniques are not readily available to researchers and are not intended to assess functionality for control strategies. Here we present a multi-user, low-cost, transradial, functional-test socket for short-term research use that can be custom-fit and donned rapidly, used in conjunction with various electromyography configurations, and adapted for use with various residual limbs and terminal devices. In this study, participants with upper-limb amputation completed functional tasks in physical and virtual environments both with and without the socket, and they reported on their perceived comfort level over time. The functional-test socket was fabricated prior to participants' arrival, iteratively fitted by the researchers within 10 mins, and donned in under 1 min (excluding electrode placement, which will vary for different use cases). It accommodated multiple individuals and terminal devices and had a total cost of materials under $10 USD. Across all participants, the socket did not significantly impede functional task performance or reduce the electromyography signal-to-noise ratio. The socket was rated as comfortable enough for at least 2 h of use, though it was expectedly perceived as less comfortable than a clinically-prescribed daily-use socket. The development of this multi-user, transradial, functional-test socket constitutes an important step toward increased end-user participation in advanced myoelectric prosthetic research. The socket design has been open-sourced and is available for other researchers.

A Bionic Hand for Semi-Autonomous Fragile Object Manipulation via Proximity and Pressure Sensors.

Multiarticulate bionic hands are now capable of recreating the endogenous movements and grip patterns of the human hand, yet amputees continue to be dissatisfied with existing control strategies. One approach towards more dexterous and intuitive control is to create a semi-autonomous bionic hand that can synergistically aid a human with complex tasks. To that end, we have developed a bionic hand that can automatically detect and grasp nearby objects with minimal force using multi-modal fingertip sensors. We evaluated performance using a fragile-object task in which participants must move an object over a barrier without applying pressure above specified thresholds. Participants completed the task under three conditions: 1) with their native hand, 2) with the bionic hand using surface electromyography control, and 3) using the semi-autonomous bionic hand. We show that the semi-autonomous hand is extremely capable of completing this dexterous task and significantly outperforms a more traditional surface-electromyography controller. Furthermore, we show that the semi-autonomous bionic hand significantly increased users' grip precision and reduced users' perceived task workload. This work constitutes an important step towards more dexterous and intuitive bionic hands and serves as a foundation for future work on shared human-machine control for intelligent bionic systems.

A multidisciplinary chronic lung disease team in a neonatal intensive care unit is associated with increased survival to discharge of infants with tracheostomy.

OBJECTIVE: To determine if multidisciplinary team-based care of severe BPD/CLD infants improve survival to discharge. DESIGN/METHODS: Retrospective review of severe BPD/CLD infants cared for by dedicated multidisciplinary CLD team using consensus-driven protocols and guidelines. RESULTS: Total of 267 patients. Median gestational age was 26 weeks (IQR 24, 32); median birth-weight was 0.85 (IQR 0.64, 1.5). Twenty-four percent were preterm with severe BPD, 46% had other primary respiratory diseases (none BPD diseases). Total number of patients, proportion of patients with tracheostomy, prematurity, and genetic diagnoses increased over time. 88.8% survived to discharge. Unadjusted logistic regression showed that tracheostomy was not associated with odds of death; secondary pulmonary hypertension was associated with odds of tracheostomy (OR = 1.795 p value = 0.0264), or death (OR = 8.587 p value = <0.0001), or tracheostomy + death (OR = 13.58 p value = 0.0007). CONCLUSIONS: Over time, mortality improved for infants with tracheostomy cared for by a multidisciplinary severe BPD/CLD team. Secondary pulmonary hypertension was associated with tracheostomy, or death, or tracheostomy + death.

Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison.

BACKGROUND: Advanced prostheses can restore function and improve quality of life for individuals with amputations. Unfortunately, most commercial control strategies do not fully utilize the rich control information from residual nerves and musculature. Continuous decoders can provide more intuitive prosthesis control using multi-channel neural or electromyographic recordings. Three components influence continuous decoder performance: the data used to train the algorithm, the algorithm, and smoothing filters on the algorithm's output. Individual groups often focus on a single decoder, so very few studies compare different decoders using otherwise similar experimental conditions. METHODS: We completed a two-phase, head-to-head comparison of 12 continuous decoders using activities of daily living. In phase one, we compared two training types and a smoothing filter with three algorithms (modified Kalman filter, multi-layer perceptron, and convolutional neural network) in a clothespin relocation task. We compared training types that included only individual digit and wrist movements vs. combination movements (e.g., simultaneous grasp and wrist flexion). We also compared raw vs. nonlinearly smoothed algorithm outputs. In phase two, we compared the three algorithms in fragile egg, zipping, pouring, and folding tasks using the combination training and smoothing found beneficial in phase one. In both phases, we collected objective, performance-based (e.g., success rate), and subjective, user-focused (e.g., preference) measures. RESULTS: Phase one showed that combination training improved prosthesis control accuracy and speed, and that the nonlinear smoothing improved accuracy but generally reduced speed. Phase one importantly showed simultaneous movements were used in the task, and that the modified Kalman filter and multi-layer perceptron predicted more simultaneous movements than the convolutional neural network. In phase two, user-focused metrics favored the convolutional neural network and modified Kalman filter, whereas performance-based metrics were generally similar among all algorithms. CONCLUSIONS: These results confirm that state-of-the-art algorithms, whether linear or nonlinear in nature, functionally benefit from training on more complex data and from output smoothing. These studies will be used to select a decoder for a long-term take-home trial with implanted neuromyoelectric devices. Overall, clinical considerations may favor the mKF as it is similar in performance, faster to train, and computationally less expensive than neural networks.

Using quality improvement to implement consensus guidelines for postnatal steroid treatment of preterm infants with developing bronchopulmonary dysplasia.

OBJECTIVE: Achieve over 90% adherence to consensus guidelines on use of postnatal steroids (PNS) in preterm infants for bronchopulmonary dysplasia (BPD) within 6 months. METHODS: A multidisciplinary team formulated and implemented consensus guidelines using the Plan-Do-Study-Act method of quality improvement. Outcome measure was rate of compliance to guidelines, process measure was age of starting PNS treatment, and balancing measure was rate of repeat steroid courses. RESULTS: Retrospective application of guidelines to preceding 10 months showed mean baseline compliance rate of 71% (n = 42). After implementation, compliance escalated to a mean rate of 96% within 6 months. Rate of PNS treatment ≤ 30 days of life increased from 50 to 80%, while rate of repeat PNS was unchanged. CONCLUSIONS: Compliance with new guidelines for PNS treatment of BPD was quickly attained using simple quality improvement interventions. Further study is needed to evaluate effects of these guidelines on clinical outcomes.

Shared Prosthetic Control Based on Multiple Movement Intent Decoders.

SIGNIFICANCE: A number of movement intent decoders exist in the literature that typically differ in the algorithms used and the nature of the outputs generated. Each approach comes with its own advantages and disadvantages. Combining the estimates of multiple algorithms may have better performance than any of the individual methods. OBJECTIVE: This paper presents and evaluates a shared controller framework for prosthetic limbs based on multiple decoders of volitional movement intent. METHODS: An algorithm to combine multiple estimates to control the prosthesis is developed in this paper. The capabilities of the approach are validated using a system that combines a Kalman filter-based decoder with a multilayer perceptron classifier-based decoder. The shared controller's performance is validated in online experiments where a virtual limb is controlled in real-time by amputee and intact-arm subjects. During the testing phase subjects controlled a virtual hand in real time to move digits to instructed positions using either a Kalman filter decoder, a multilayer perceptron decoder, or a linear combination of the two. RESULTS: The shared controller results in statistically significant improvements over the component decoders. Specifically, certain degrees of shared control result in increases in the time-in-target metric and decreases in unintended movements. CONCLUSION: The shared controller of this paper combines the good qualities of component decoders tested in this paper. Herein, combining a Kalman filter decoder with a classifier-based decoder inherits the flexibility of the Kalman filter decoder and the limited unwanted movements from the classifier-based decoder, resulting in a system that may be able to perform the tasks of everyday life more naturally and reliably.

Biopsychosocial Pain Management and its Effect on Postoperative Opioid Use.

INTRODUCTION: Medical use and overuse of opioids have become an increasing problem over the past several decades. Postoperative pain control is the strongest indication for the use of opioid analgesics. Previous studies have demonstrated benefit from complementary and alternative therapy (CAT) for postoperative pain relief. A prior study conducted by Riswold et al. found that a unit staff training session on CAT improved patient experiences postoperatively following total joint replacement. The study was limited in that it did not examine if there were any changes in opioid usage following this intervention. METHODS: This study is a continuation of the Riswold et al. study on CAT training intervention. In July 2017, a four-hour staff training session on alternative comfort measures and pain medication administration took place. Opioid administration data was extracted from the PYXIS software for all patients who had received more than three opioid administrations across their hospital stay in the three months prior to CAT training and the three months post-training. Opioid administrations were converted to total oral morphine equivalents. The pre- and post-intervention groups were compared using independent sample t-tests using SPSS software. RESULTS: Statistically significant reduction of total oral morphine equivalents occurred following CAT training intervention (p=.034, CI 2.76, 69.81). Average oral morphine equivalents per day (p=0.023, CI 1.26, 16.57) and per administration (p=0.00048, CI 0.64, 2.25) also were significantly reduced following the CAT training intervention. CONCLUSION: This study strengthens the findings of prior studies, showing that CAT can improve patient satisfaction while also reducing overall opioid burden for post-surgical patients.

Post-ligation cardiac syndrome is associated with increased morbidity in preterm infants.

OBJECTIVE: The influence of post-ligation cardiac syndrome (PLCS), a complication of patent ductus arteriosus (PDA) ligations, on neonatal outcomes is unknown. The purpose of this study was to determine the risks of PLCS on severe pulmonary morbidity and severe retinopathy of prematurity (ROP). STUDY DESIGN: Retrospective cohort study of infants who underwent a PDA ligation between 2006 and 2015. Data were collected on patients with and without PLCS. The primary outcome was the difference in severe bronchopulmonary dysplasia (BPD) between groups. Secondary outcomes included discharge with home oxygen and severe ROP. RESULT: A total of 100 infants that underwent PDA ligation during the study period were included in the study; 31 (31%) neonates developed PLCS. In adjusted analysis, PLCS was associated with increased risk for severe BPD (RR 1.67, 95% CI: 1.15-2.42) and home oxygen therapy (RR: 1.47, 95% CI: 1.09-1.99) only. No association with severe ROP was seen (RR: 1.48; 95% CI: 0.87-2.52). CONCLUSION: PLCS is associated with severe neonatal pulmonary morbidity, but not with severe ROP. Further investigation is warranted to validate these results.