The impact of a digital artificial intelligence system on the monitoring and self-management of non-motor symptoms in People with Parkinson’s: Proposal for a Phase 1 implementation study (Preprint)

Background

Nonmotor symptoms of Parkinson disease are a major factor of disease burden but are often underreported in clinical appointments. A digital tool has been developed to support the monitoring and management of nonmotor symptoms.

Objective

The aim of this study is to establish evidence of the impact of the system on patient confidence, knowledge, and skills for self-management of nonmotor symptoms, symptom burden, and quality of life of people with Parkinson and their care partners. It will also evaluate the usability, acceptability, and potential for adoption of the system for people with Parkinson, care partners, and health care professionals.

Methods

A mixed methods implementation and feasibility study based on the nonadoption, abandonment, scale-up, spread, and sustainability framework will be conducted with 60 person with Parkinson–care partner dyads and their associated health care professionals. Participants will be recruited from outpatient clinics at the University Hospitals Plymouth NHS Trust Parkinson service. The primary outcome, patient activation, will be measured over the 12-month intervention period; secondary outcomes include the system’s impact on health and well-being outcomes, safety, usability, acceptability, engagement, and costs. Semistructured interviews with a subset of participants will gather a more in-depth understanding of user perspectives and experiences with the system. Repeated measures analysis of variance will analyze change over time and thematic analysis will be conducted on qualitative data. The study was peer reviewed by the Parkinson’s UK Non-Drug Approaches grant board and is pending ethical approval.

Results

The study won funding in August 2021; data collection is expected to begin in December 2022.

Conclusions

The study’s success criteria will be affirming evidence regarding the system’s feasibility, usability and acceptability, no serious safety risks identified, and an observed positive impact on patient activation. Results will be disseminated in academic peer-reviewed journals and in platforms and formats that are accessible to the general public, guided by patient and public collaborators.

Trial Registration

ClinicalTrials.gov NCT05414071; https://clinicaltrials.gov/ct2/show/NCT05414071

International Registered Report Identifier (IRRID)

PRR1-10.2196/40317

Inhibition of prostacyclin and platelet thromboxane A2 after low-dose aspirin

To compare the inhibitory effects of aspirin on prostaglandin synthesized by vessel walls and platelets, we obtained vein segments from five subjects before they were given 150 or 300 mg of aspirin and at various intervals afterward. We then measured prostacyclin (PGI2) synthesis with a radioimmunoassay for its stable metabolite, 6-keto-prostaglandin F1 alpha. Platelet production of thromboxane A2 was measured with a radioimmunoassay for its stable metabolite, thromboxane B2. Two hours after aspirin had been given, 81 to 100 per cent inhibition of PGI2 synthesis was demonstrated; 86 per cent inhibition was still evident in one subject tested eight hours after administration. Simultaneously, platelet production of thromboxane B2 was completely inhibited for more than 24 hours. We conclude that there is little difference between the initial inhibitory response of platelet cyclooxygenase and that of vessel-wall cyclooxygenase to these doses of aspirin. Our results also indicate that in male subjects the prolonged template bleeding time after aspirin is not the consequence of selective inhibition of platelet production of thromboxane.