Ryul Kim1, Joongyub Lee1, Han-Joon Kim1, Aryun Kim1, Mihee Jang1, Beomseok Jeon2, Un Jung Kang1. 1. From the Department of Neurology (R.K., H.-J.K., A.K., B.J.), Seoul National University Hospital, College of Medicine; Department of Neurology (R.K.), Aerospace Medical Center, Republic of Korea Air Force, Cheongju; Medical Research Collaborating Center (J.L.), Seoul National University Hospital; Department of Neurology (M.J.), Presbyterian Medical Center, Jeonju, Republic of Korea; and Department of Neurology (U.J.K.), Columbia University Medical Center, New York, NY. 2. From the Department of Neurology (R.K., H.-J.K., A.K., B.J.), Seoul National University Hospital, College of Medicine; Department of Neurology (R.K.), Aerospace Medical Center, Republic of Korea Air Force, Cheongju; Medical Research Collaborating Center (J.L.), Seoul National University Hospital; Department of Neurology (M.J.), Presbyterian Medical Center, Jeonju, Republic of Korea; and Department of Neurology (U.J.K.), Columbia University Medical Center, New York, NY. brain@snu.ac.kr.
Abstract
OBJECTIVE: To determine whether CSF biomarkers can be used as a predictor of freezing of gait (FOG) in Parkinson disease (PD) and to investigate the predictive value of clinical, dopamine transporter (DAT) imaging, and CSF parameters both separately and in combination. METHODS: This study using the PPMI data included 393 patients with newly diagnosed PD without FOG at baseline. We evaluated CSF for β-amyloid 1-42 (Aβ42), α-synuclein, total tau, phosphorylated tau181, and the calculated ratio of Aβ42 to total tau at baseline. Demographic and clinical data and DAT imaging results were also investigated. Cox proportional-hazards regression analyses were performed to identify the factors predictive of FOG. From these results, we constructed a predictive model for the development of FOG. RESULTS: During a median follow-up of 4.0 years, only Aβ42 among the CSF biomarkers was associated with the development of FOG (hazard ratio 0.997, 95% confidence interval [CI] 0.996-0.999, p = 0.009). Postural instability gait difficulty (PIGD) score, caudate DAT uptake, and, to a lesser extent, male sex, Movement Disorders Society Unified Parkinson's Disease Rating Scale motor score, and Montreal Cognitive Assessment score were also predictive of FOG. The combined model integrating the PIGD score, caudate DAT uptake, and CSF Aβ42 achieved a better discriminative ability (area under the curve 0.755, 95% CI 0.700-0.810) than any factor alone. CONCLUSION: We found CSF Aβ42 to be a predictor of FOG in patients with early PD. Furthermore, the development of FOG within 4 years after diagnosis of PD can be predicted with acceptable accuracy with our risk model.
OBJECTIVE: To determine whether CSF biomarkers can be used as a predictor of freezing of gait (FOG) in Parkinson disease (PD) and to investigate the predictive value of clinical, dopamine transporter (DAT) imaging, and CSF parameters both separately and in combination. METHODS: This study using the PPMI data included 393 patients with newly diagnosed PD without FOG at baseline. We evaluated CSF for β-amyloid 1-42 (Aβ42), α-synuclein, total tau, phosphorylated tau181, and the calculated ratio of Aβ42 to total tau at baseline. Demographic and clinical data and DAT imaging results were also investigated. Cox proportional-hazards regression analyses were performed to identify the factors predictive of FOG. From these results, we constructed a predictive model for the development of FOG. RESULTS: During a median follow-up of 4.0 years, only Aβ42 among the CSF biomarkers was associated with the development of FOG (hazard ratio 0.997, 95% confidence interval [CI] 0.996-0.999, p = 0.009). Postural instability gait difficulty (PIGD) score, caudate DAT uptake, and, to a lesser extent, male sex, Movement Disorders Society Unified Parkinson's Disease Rating Scale motor score, and Montreal Cognitive Assessment score were also predictive of FOG. The combined model integrating the PIGD score, caudate DAT uptake, and CSF Aβ42 achieved a better discriminative ability (area under the curve 0.755, 95% CI 0.700-0.810) than any factor alone. CONCLUSION: We found CSF Aβ42 to be a predictor of FOG in patients with early PD. Furthermore, the development of FOG within 4 years after diagnosis of PD can be predicted with acceptable accuracy with our risk model.
Authors: J M Hatcher-Martin; J L McKay; S A Factor; A F Pybus; B Sommerfeld; J C Howell; F C Goldstein; L Wood; W T Hu Journal: NPJ Parkinsons Dis Date: 2021-11-29
Authors: Jiayue Cai; Aiping Liu; Yuheng Wang; Sun Nee Tan; Taylor Chomiak; Jacqueline Burt; Richard Camicioli; Bin Hu; Martin J McKeown; Fang Ba Journal: Front Neurosci Date: 2022-08-09 Impact factor: 5.152