Remote Smartphone Monitoring of Parkinson's Disease and Individual Response to Therapy.

Details

• Alternative Title:
  Nature Biotechnology, 2022, v. 40, no. 4: Remote Smartphone Monitoring of Parkinson's Disease and Individual Response to Therapy.
• Journal Article:
  Nature Biotechnology
• Personal Author:
  Omberg, Larsson ; Neto, Elias Chaibub ; Perumal, Thanneer M. ; Pratap, Abhishek ; Tediarjo, Aryton ; Adams, Jamie ; Bloem, Bastiaan R. ; Bot, Brian M. ; Elson, Molly ; Goldman, Samuel M. ; Kellen, Michael R. ; Kieburtz, Karl ; Klein, Arno ; Little, Max A. ; Schneider, Ruth ; Suver, Christine ; Tarolli, Christopher ; Tanner, Caroline M. ; Trister, Andrew D. ; Wilbanks, John ; Ray Dorsey, E. ; Mangravite, Lara M.
• Description:
  Remote health assessments that gather real-world data (RWD) outside clinic settings require a clear understanding of appropriate methods for data collection, quality assessment, analysis and interpretation. Here we examine the performance and limitations of smartphones in collecting RWD in the remote mPower observational study of Parkinson's disease (PD). Within the first 6 months of study commencement, 960 participants had enrolled and performed at least five self-administered active PD symptom assessments (speeded tapping, gait/balance, phonation or memory). Task performance, especially speeded tapping, was predictive of self-reported PD status (area under the receiver operating characteristic curve (AUC) = 0.8) and correlated with in-clinic evaluation of disease severity (r = 0.71; P < 1.8 × 10
  
  ) when compared with motor Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Although remote assessment requires careful consideration for accurate interpretation of RWD, our results support the use of smartphones and wearables in objective and personalized disease assessments.
• Content Notes:
  Author manuscript
• Subjects:
  • Gait
  • Humans
  • Movement
  • Parkinson Disease
  • Severity of Illness Index
  • Smartphone
• Source:
  Nature Biotechnology, 2022, v. 40, no. 4
• DOI:
  https://doi.org/10.1038/s41587-021-00974-9
• ISSN:
  1087-0156 ; 1546-1696
• Pubmed ID:
  34373643
• Pubmed Central ID:
  PMC12812035
• Document Type:
  Text
• Funding:
  T42 OH008429/OH/NIOSH CDC HHSUnited States/
• Genre:
  Journal Article
• Pages in Document:
  480-487 (30 pdf pages)
• Volume:
  40
• Issue:
  4
• Download URL:
  https://stacks.cdc.gov/view/cdc/262143/cdc_262143_DS1.pdf
• File Type:
  [PDF - 1010.49 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:1c102326fce2d4f659c3c911c2af241bc14423f79a5a695d0b6e5dcde2fc7f436968f9c36c3a48317baf8c7f2983108d75c9daf06e2fe4bcf87f1b978c77e369