GM1-gangliosidosis: The caregivers' assessments of symptom impact and most important symptoms to treat.
Amanda BingamanChristine WaggonerSara M AndrewsDiana PangonisMarie TradRoberto GiuglianiRuben GiorginoJeanine JarnesRojan VakiliVictoria BallardHolly L PeayPublished in: American journal of medical genetics. Part A (2022)
GM1-gangliosidosis (GM1) is a rare neurodegenerative disorder leading to early mortality and causing progressive decline of physical skills and cerebral functioning. No approved treatment for GM1 exists. In this study-the first to explore priorities of parents of subjects with pediatric onset forms of GM1-we address a crucial gap by characterizing symptoms most critical to caregivers of children with GM1 to treat. Our two-part, mixed-methods approach began with focus groups, followed by interviews with a distinct set of parents. Interviews included a prioritization activity that used best-worst scaling. Quantitative data were analyzed descriptively. Qualitative data were analyzed using thematic analysis and rapid analysis process. Parents prioritized the symptoms they believed would increase their child's lifespan and improve their perceived quality of life (QoL); these symptoms focused on communicating wants/needs, preventing pain/discomfort, getting around and moving one's body, and enhancing eating/feeding. Although lifespan was highly valued, almost all parents would not desire a longer lifespan without acceptable child QoL. Parents indicated high caregiver burden and progressive reduction in QoL for children with GM1. This novel study of caregiver priorities identified important symptoms for endpoints' selection in patient-focused drug development in the context of high disease impact and unmet treatment needs.
Keyphrases
- mental health
- sleep quality
- physical activity
- multiple sclerosis
- young adults
- palliative care
- electronic health record
- big data
- type diabetes
- study protocol
- cardiovascular disease
- machine learning
- case report
- coronary artery disease
- systematic review
- cardiovascular events
- spinal cord injury
- spinal cord
- deep learning
- cerebral blood flow