% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Hobert:140489,
      author       = {Hobert, Markus A and Nussbaum, Susanne and Heger, Tanja and
                      Berg, Daniela and Maetzler, Walter and Heinzel, Sebastian},
      title        = {{P}rogressive {G}ait {D}eficits in {P}arkinson's {D}isease:
                      {A} {W}earable-{B}ased {B}iannual 5-{Y}ear {P}rospective
                      {S}tudy.},
      journal      = {Frontiers in aging neuroscience},
      volume       = {11},
      issn         = {1663-4365},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {DZNE-2020-06811},
      pages        = {22},
      year         = {2019},
      abstract     = {Background: Gait changes occur during all Parkinson’s
                      disease (PD) stages and wearable sensor-derived gait
                      parameters may quantify PD progression. However, key aspects
                      that may qualify quantitative gait parameters as progression
                      markers in PD remain elusive.Objectives: Longitudinal
                      changes in gait parameters from a lower-back sensor under
                      convenient and challenging walking conditions in early- and
                      mid-stage PD patients (E-PD, M-PD) compared to controls were
                      investigated.Methods: Normal- and fast-pace parameters
                      (step: number, time, velocity, variability) were assessed
                      every 6 months for up to 5 years in 22 E-PD (<4 years
                      baseline disease duration), 18 M-PD (>5 years) and 24
                      controls. Parameter trajectories and associations with
                      MDS-UPDRS-III were tested using generalized estimating
                      equations.Results: Normal-pace step number (annual change in
                      E-PD: $2.1\%,$ Time∗Group: p = 0.001) and step time
                      variability $(8.5\%,$ p < 0.05) longitudinally increased in
                      E-PD compared to controls $(0.7\%,$ $-12\%).$ For fast pace,
                      no significant progression differences between groups were
                      observed. Longitudinal changes in M-PD did not differ
                      significantly from controls. MDS-UPDRS-III was largely
                      associated with normal-pace parameters in M-PD.Conclusion:
                      Wearables can quantify progressive gait deficits indicated
                      by increasing step number and step time variability in E-PD.
                      In M-PD, and for fast-pace, gait parameters possess limited
                      potential as PD progression markers.},
      cin          = {Ext UKT / AG Gasser / Tübingen Pre 2020 / AG Berg / AG
                      Maetzler},
      ddc          = {610},
      cid          = {I:(DE-2719)5000058 / I:(DE-2719)1210000 /
                      I:(DE-2719)6000018 / I:(DE-2719)5000055 /
                      I:(DE-2719)5000024},
      pnm          = {344 - Clinical and Health Care Research (POF3-344) / 345 -
                      Population Studies and Genetics (POF3-345)},
      pid          = {G:(DE-HGF)POF3-344 / G:(DE-HGF)POF3-345},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30814947},
      pmc          = {pmc:PMC6381067},
      doi          = {10.3389/fnagi.2019.00022},
      url          = {https://pub.dzne.de/record/140489},
}