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DTx Algorithms for Personalized Parkinson's Disease Treatment and Medication Plan Optimization

N

Newel Health

Status

Completed

Conditions

Parkinson Disease

Treatments

Device: Soturi™ [digital mobile app]
Device: Smartwatch Garmin Vivosmart [wearable sensor]
Other: Clinical Assessment

Study type

Observational

Funder types

Other
Industry

Identifiers

NCT05904288
NWL-SOT-CS-001

Details and patient eligibility

About

The study is aimed at developing Digital Therapeutics (DTx) algorithms for personalized PD treatment and medication plan optimization, based on Real World Data (RWD) collected from patients via digital mobile app and wearable sensors.

The study design is observational/noninterventional, prospective, single-arm, aimed at collecting data from wearable sensors for validation of symptom detection algorithms, through (1) a supervised in-clinic motor assessment, performed using validated clinical scales (Visit 3, Visit 4), and (2) an unsupervised, home-based, 6-month (Visit 3 to Visit 4) data collection from wearable devices (passive monitoring) for algorithm cross-validation using patient reported outcomes (PROMs) and remote clinical assessments. The devices used in the study will be a commercial smartwatch (Garmin Vivosmart 5) for inertial data collection and a digital application through which subjects will report PROMs via a digital symptom diary. Screening visits (Visit 1 and Visit 2) will be conducted prior to enrollment to verify eligibility criteria through clinical assessments, the subjects' symptom diary, and by assessing adherence to the use of the study tools provided (i.e., mobile application and smartwatch).

Enrollment

54 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Written informed consent (IC) obtained.
  2. Age > 18 years.
  3. Male or female patients Meeting the MDS clinical diagnostic criteria for Parkinson's Disease (Postuma et al., 2015)
  4. At least one motor symptoms OFF-period each day, excluding early morning akinesia.
  5. On treatment with Levodopa
  6. Stable Levodopa regimen for 4 weeks before Screening Visit;
  7. Levodopa Equivalent Daily Dose (LEDD) > 400 mg, OR Levodopa Intake > 2 administration/day;
  8. The subject is willing and able to attend study procedures and to use wearable and mobile devices.

Exclusion criteria

  1. Secondary or atypical PD.
  2. Cognitive problems which significantly impair his/her ability to give an IC and perform the study tasks.
  3. Levodopa Equivalent Daily Dose (LEDD) > 800 mg, OR Levodopa intake > 8 administration/day;
  4. Any condition that in the opinion of the investigator would interfere with the interpretation of the study results or constitute a health risk for the subject if he/she takes part in the study.
  5. Concomitant participation to clinical trials with investigational medicinal products.
  6. Failure to show, in opinion of the investigator, acceptable/appropriate use of wearable and mobile device (e.g. weekly average daily wearable wear time < 8 hours).

Having an advanced treatment (including Deep Brain Stimulation, Apomorphine, Duodopa), is not an exclusion criterion, as well as the subject decision or capability to attend the exercise and speech training programs within the mobile app.

Trial design

54 participants in 1 patient group

Arm 1
Description:
The study group will receive noninvasive, in-depth clinical assessments similar in frequency to monitoring pertinent to normal clinical practice aimed at people with Parkinson's disease. In addition, within the mobile application provided as a gateway for data collection from the wearable sensors, subjects will also have the ability to access a library of video-recorded exercises, the effect of which on symptom modification, however, is not the subject of this investigation.
Treatment:
Other: Clinical Assessment
Device: Smartwatch Garmin Vivosmart [wearable sensor]
Device: Soturi™ [digital mobile app]

Trial contacts and locations

3

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Central trial contact

Giovanni Gentile, MSc

Data sourced from clinicaltrials.gov

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