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Kinect-based objective assessment for early frailty identification in patients with Parkinson’s disease

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Abstract

Background

Frailty is common in Parkinson’s disease (PD) and increases vulnerability to adverse outcomes. Early detection of this syndrome aids in early intervention.

Aims

To objectively identify frailty at an early stage during routine motor tasks in PD patients using a Kinect-based system.

Methods

PD patients were recruited and assessed with the Fried criteria to determine their frailty status. Each participant was recorded performing the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale part III (MDS-UPDRS III) extremity tasks with a Kinect-based system. Statistically significant kinematic parameters were selected to discriminate the pre-frail from the non-frail group.

Results

Of the fifty-two participants, twenty were non-frail and thirty-two were pre-frail. Decreased frequency in finger tapping (P = 0.005), hand grasping (P = 0.002), toe tapping (P = 0.002), and leg agility (P = 0.019) alongside reduced hand grasping speed (P = 0.030), lifting (P < 0.001) and falling speed (P < 0.001) in leg agility were observed in the pre-frail group. Amplitude in leg agility (P = 0.048) and amplitude decrement rate (P = 0.046) in hand grasping showed marginally significant differences between two groups. Moderate discriminative values were found in frequency and speed of the extremity tasks to identify pre-frailty with sensitivity, specificity, and area under the curve (AUC) in the range of 45.00–85.00%, 68.75–100%, and 0.701–0.836, respectively. The combination of frequency and speed in extremity tasks showed moderate to high discriminatory ability, with AUC of 0.775 (95% CI 0.637–0.913, P < 0.001) for upper limb tasks and 0.909 (95% CI 0.832–0.987, P < 0.001) for lower limb tasks. When combining these features in both upper and lower limb tasks, the AUC increased to 0.942 (95% CI 0.886–0.999, P < 0.001).

Conclusions

Our findings demonstrated the promise of utilizing Kinect-based kinematic data from MDS-UPDRS III tasks as early indicators of frailty in PD patients.

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Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This study was supported by National Natural Science Foundation of China (Grant number. 81974198).

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Author notes

  1. Ludi Xie and Ronghua Hong contributed equally to this work.

Authors and Affiliations

  1. Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China

    Ludi Xie, Ronghua Hong, Zhuang Wu, Lei Yue, Kangwen Peng, Shuangfang Li, Jingxing Zhang, Xijin Wang, Lingjing Jin & Qiang Guan

  2. Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, China

    Ronghua Hong & Lingjing Jin

  3. Shanghai Clinical Research Center for Aging and Medicine, Shanghai, China

    Lingjing Jin

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Contributions

QG and LJ conceived and designed the study. LX wrote the manuscript. LX and RH performed the research, collected and analyzed data. ZW and RH revised the manuscript. QG and XW recruited subjects. LY, KP, SL, and JZ helped in data collection and analysis. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Lingjing Jin or Qiang Guan.

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The authors declare that they have no competing interests.

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The Ethics Committee of Shanghai Tongji Hospital approved all the procedures. Written informed consent was obtained from all the participants.

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The study was performed in accordance with the Delaration of Helsinki.

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Xie, L., Hong, R., Wu, Z. et al. Kinect-based objective assessment for early frailty identification in patients with Parkinson’s disease. Aging Clin Exp Res 35, 2507–2516 (2023). https://doi.org/10.1007/s40520-023-02525-5

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