Parkinsonism & related disorders · 2021
Factors associated with motor severity in vascular parkinsonism with normal dopamine transporter imaging.
СтатьяМногоцентровое исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Park Don Gueu, Kang Suk Yun, Hong Jin Yong, Sunwoo Mun Kyung, Yoon Jung Han
Аннотация
INTRODUCTION: To delineate the determinants of motor severity in vascular parkinsonism (VaP), we investigated the impact of regional white matter intensity (WMH) burden and co-morbidities on the motor score in the patients with VaP and normal dopamine transporter (DAT) imaging.
METHODS: In this multicenter, retrospective study, we reviewed the records of 63 patients diagnosed with VaP and normal DAT imaging on 18F-FP-CIT PET. Signal hyperintensities in deep white matter (DWMH), periventricular (PVH), basal ganglia (BG) regions, and infratentorial foci (ITF) were rated according to Scheltens scale, a semi-quantitative visual rating system. Motor severity was assessed with Unified Parkinson's Disease Rating Scale (UPDRS) motor score. Regional hyperintensity scores, patients' demographics, and co-morbidities such as type 2 diabetes, hypertension, dyslipidemia, and previous stroke history were used as starting variables, and stepwise regression analysis was performed to select independent predictors of motor severity.
RESULTS: PVH (R = 0.33, p = 0.008) and DWMH score (R = 0.31, p = 0.015) correlated with the motor severity, while BG and ITF scores did not. Diabetic patients had significantly higher motor scores compared with non-diabetics (34.7 (13.0) vs. 27.5 (12.4), p = 0.008). Other factors such as sex, BMI, hypertension, dyslipidemia, and previous history of stroke did not impact motor severity. In multivariate analysis, PVH scores and diabetes significantly correlated with motor severity.
CONCLUSION: PVH burden and diabetes were independent factors associated with motor severity in VaP with normal DAT imaging. Our results suggest that diabetes, along with white matter hyperintensities, may have a significant role in the development of motor symptoms in VaP.
METHODS: In this multicenter, retrospective study, we reviewed the records of 63 patients diagnosed with VaP and normal DAT imaging on 18F-FP-CIT PET. Signal hyperintensities in deep white matter (DWMH), periventricular (PVH), basal ganglia (BG) regions, and infratentorial foci (ITF) were rated according to Scheltens scale, a semi-quantitative visual rating system. Motor severity was assessed with Unified Parkinson's Disease Rating Scale (UPDRS) motor score. Regional hyperintensity scores, patients' demographics, and co-morbidities such as type 2 diabetes, hypertension, dyslipidemia, and previous stroke history were used as starting variables, and stepwise regression analysis was performed to select independent predictors of motor severity.
RESULTS: PVH (R = 0.33, p = 0.008) and DWMH score (R = 0.31, p = 0.015) correlated with the motor severity, while BG and ITF scores did not. Diabetic patients had significantly higher motor scores compared with non-diabetics (34.7 (13.0) vs. 27.5 (12.4), p = 0.008). Other factors such as sex, BMI, hypertension, dyslipidemia, and previous history of stroke did not impact motor severity. In multivariate analysis, PVH scores and diabetes significantly correlated with motor severity.
CONCLUSION: PVH burden and diabetes were independent factors associated with motor severity in VaP with normal DAT imaging. Our results suggest that diabetes, along with white matter hyperintensities, may have a significant role in the development of motor symptoms in VaP.