HDQLIFE: Development and Assessment of Health-Related Quality of Life in Huntington Disease (HD)

PURPOSE: Huntington disease (HD) is a chronic, debilitating genetic disease that affects physical, emotional, cognitive, and social health. Existing patient-reported outcomes (PROs) of health-related quality of life (HRQOL) used in HD are neither comprehensive, nor do they adequately account for clinically meaningful changes in function. While new PROs examining HRQOL (i.e., Neuro-QoL-Quality of Life in Neurological Disorders and PROMIS-Patient-Reported Outcomes Measurement Information System) offer solutions to many of these shortcomings, they do not include HD-specific content, nor have they been validated in HD. HDQLIFE addresses this by validating 12 PROMIS/Neuro-QoL domains in individuals with HD and by using established PROMIS methodology to develop new, HD-specific content. METHODS: New item pools were developed using cognitive debriefing with individuals with HD, and expert, literacy, and translatability reviews. Existing item banks and new item pools were field tested in 536 individuals with prodromal, early-, or late-stage HD. RESULTS: Moderate to strong relationships between Neuro-QoL/PROMIS measures and generic self-report measures of HRQOL, and moderate relationships between Neuro-QoL/PROMIS and clinician-rated measures of similar constructs supported the validity of Neuro-QoL/PROMIS in individuals with HD. Exploratory and confirmatory factor analysis, item response theory, and differential item functioning analyses were utilized to develop new item banks for Chorea, Speech Difficulties, Swallowing Difficulties, and Concern with Death and Dying, with corresponding six-item short forms. A four-item short form was developed for Meaning and Purpose. CONCLUSIONS: HDQLIFE encompasses both validated Neuro-QoL/PROMIS measures, as well as five new scales in order to provide a comprehensive assessment of HRQOL in HD

Bioreactor for microalgal cultivation systems: strategy and development

Microalgae are important natural resources that can provide food, medicine, energy and various bioproducts for nutraceutical, cosmeceutical and aquaculture industries. Their production rates are superior compared to those of terrestrial crops. However, microalgae biomass production on a large scale is still a challenging problem in terms of economic and ecological viability. Microalgal cultivation system should be designed to maximize production with the least cost. Energy efficient approaches of using light, dynamic mixing to maximize use of carbon dioxide (CO2) and nutrients and selection of highly productive species are the main considerations in designing an efficient photobioreactor. In general, optimized culture conditions and biological responses are the two overarching attributes to be considered for photobioreactor design strategies. Thus, fundamental aspects of microalgae growth, such as availability of suitable light, CO2 and nutrients to each growing cell, suitable environmental parameters (including temperature and pH) and efficient removal of oxygen which otherwise would negatively impact the algal growth, should be integrated into the photobioreactor design and function. Innovations should be strategized to fully exploit the wastewaters, flue-gas, waves or solar energy to drive large outdoor microalgae cultivation systems. Cultured species should be carefully selected to match the most suitable growth parameters in different reactor systems. Factors that would decrease production such as photoinhibition, self-shading and phosphate flocculation should be nullified using appropriate technical approaches such as flashing light innovation, selective light spectrum, light-CO2 synergy and mixing dynamics. Use of predictive mathematical modelling and adoption of new technologies in novel photobioreactor design will not only increase the photosynthetic and growth rates but will also enhance the quality of microalgae composition. Optimizing the use of natural resources and industrial wastes that would otherwise harm the environment should be given emphasis in strategizing the photobioreactor mass production. To date, more research and innovation are needed since scalability and economics of microalgae cultivation using photobioreactors remain the challenges to be overcome for large-scale microalgae production

Coping with Congenital Hand Differences

Background: Although functional outcomes following reconstruction for congenital hand differences are frequently described, much less is known regarding children\u27s ability to cope with the psychosocial effects of these conditions. The authors qualitatively explored stress and coping mechanisms among children following reconstructive surgery for congenital hand differences. Methods: Forty patients and their parents participated in semistructured interviews examining children\u27s stress related to hand functioning and appearance, emotional responses to stress, and coping strategies. Interviews were audiotaped, transcribed, and analyzed thematically. A consensus taxonomy for classifying content evolved from comparisons of coding by two reviewers. Themes expressed by participants were studied for patterns of connection and grouped into broader categories. Results: In this sample, 58 percent of children and 40 percent of parents reported stress related to congenital hand differences, attributed to functional deficits (61 percent), hand appearance (27 percent), social interactions (58 percent), and emotional reactions (46 percent). Among the 18 children who reported stress, 43 percent of parents were not aware of the presence of stress. Eight coping strategies emerged, including humor (12 percent), self-acceptance (21 percent), avoidance (27 percent), seeking external support (30 percent), concealment (30 percent), educating others (9 percent), support programs (21 percent), and religion (24 percent). Conclusions: Although children with congenital hand differences often experience emotional stress related to functional limitations and aesthetic deformities, many apply positive coping mechanisms that enhance self-esteem. Clinicians caring for children with congenital hand differences should inform families about potential sources of stress to direct resources toward strengthening coping strategies and support systems

Cognitive domains that predict time to diagnosis in prodromal Huntington disease

BACKGROUND: Prodromal Huntington's disease (prHD) is associated with a myriad of cognitive changes but the domains that best predict time to clinical diagnosis have not been studied. This is a notable gap because some domains may be more sensitive to cognitive decline, which would inform clinical trials. OBJECTIVES: The present study sought to characterise cognitive domains underlying a large test battery and for the first time, evaluate their ability to predict time to diagnosis. METHODS: Participants included gene negative and gene positive prHD participants who were enrolled in the PREDICT-HD study. The CAG-age product (CAP) score was the measure of an individual's genetic signature. A factor analysis of 18 tests was performed to identify sets of measures or latent factors that elucidated core constructs of tests. Factor scores were then fit to a survival model to evaluate their ability to predict time to diagnosis. RESULTS: Six factors were identified: (1) speed/inhibition, (2) verbal working memory, (3) motor planning/speed, (4) attention-information integration, (5) sensory-perceptual processing and (6) verbal learning/memory. Factor scores were sensitive to worsening of cognitive functioning in prHD, typically more so than performances on individual tests comprising the factors. Only the motor planning/speed and sensory-perceptual processing factors predicted time to diagnosis, after controlling for CAP scores and motor symptoms. Conclusions The results suggest that motor planning/speed and sensory-perceptual processing are important markers of disease prognosis. The findings also have implications for using composite indices of cognition in preventive Huntington's disease trials where they may be more sensitive than individual tests

Impact-Tardive Dyskinesia (Impact-TD) Scale: A Clinical Tool to Assess the Impact of Tardive Dyskinesia

Tardive dyskinesia (TD) is a movement disorder that can negatively affect health-related quality of life. However, the impact of TD is not necessarily dependent solely on the objective severity of TD movements. There is currently no easy-to-use, standardized, clinician-rated assessment of the impact of TD on functioning. The aim of this consensus panel was to develop a scale (Impact-TD scale) to assess the impact of TD on patients\u27 daily functioning in practice settings. Nine health care professionals with expertise in TD and clinical scale development met to discuss how TD negatively impacts the functional activities of patients. This panel comprised 7 individuals from a previous panel that developed recommendations on the importance of optimally assessing the functional impact of TD. The previous panel published a narrative literature review that summarized the existing approaches to assess the impact of TD in clinical research and practice. A modified Delphi process was used to assess agreement on the format and content of the Impact-TD scale. The panel discussed key features of the Impact-TD scale (ie, simplicity, usability, assessment of frequency of impact versus interference/distress). The scale aimed to describe specific consequences of TD symptoms with which patients may have difficulty. Consensus was reached on a list of consequences of TD symptoms that have a functional impact and were categorized in 4 functional domains: social, psychological/psychiatric, physical, and vocational/educational/recreational. The Impact-TD scale offers an easy-to-use clinical scale to measure the functional impact of TD in practice settings