Yoo Han Soo, Kim Han-Kyeol, Lee Hye Sun, Yoon So Hoon, Na Han Kyu, Kang Sung Woo, Lee Jae-Hoon, Ryu Young Hoon, Lyoo Chul Hyoung
Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, 20 Eonjuro 63-gil, Gangnam-gu, Seoul, South Korea.
Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, South Korea.
J Neurol. 2024 Aug;271(8):5213-5222. doi: 10.1007/s00415-024-12477-z. Epub 2024 Jun 5.
Parkinson's disease (PD) manifests as a wide variety of clinical phenotypes and its progression varies greatly. However, the factors associated with different disease progression remain largely unknown.
In this retrospective cohort study, we enrolled 113 patients who underwent F-FP-CIT PET scan twice. Given the negative exponential progression pattern of dopamine loss in PD, we applied the natural logarithm to the specific binding ratio (SBR) of two consecutive F-FP-CIT PET scans and conducted linear mixed model to calculate individual slope to define the progression rate of nigrostriatal degeneration. We investigated the clinical and dopamine transporter (DAT) availability patterns associated with the progression rate of dopamine depletion in each striatal sub-region.
More symmetric parkinsonism, the presence of dyslipidemia, lower K-MMSE total score, and lower anteroposterior gradient of the mean putaminal SBR were associated with faster progression rate of dopamine depletion in the caudate nucleus. More symmetric parkinsonism and lower anteroposterior gradient of the mean putaminal SBR were associated with faster depletion of dopamine in the anterior putamen. Older age at onset, more symmetric parkinsonism, the presence of dyslipidemia, and lower anteroposterior gradient of the mean putaminal SBR were associated with faster progression rate of dopamine depletion in the posterior putamen. Lower striatal mean SBR predicted the development of LID, while lower mean SBR in the caudate nuclei predicted the development of dementia.
Our results suggest that the evaluation of baseline clinical features and patterns of DAT availability can predict the progression of PD and its prognosis.
帕金森病(PD)表现为多种临床表型,其进展差异很大。然而,与不同疾病进展相关的因素在很大程度上仍不清楚。
在这项回顾性队列研究中,我们纳入了113例接受两次F-FP-CIT PET扫描的患者。鉴于PD中多巴胺丧失的负指数进展模式,我们对连续两次F-FP-CIT PET扫描的特异性结合率(SBR)应用自然对数,并进行线性混合模型以计算个体斜率来定义黑质纹状体变性的进展率。我们研究了与每个纹状体亚区域多巴胺耗竭进展率相关的临床和多巴胺转运体(DAT)可用性模式。
更对称的帕金森症、血脂异常的存在、较低的K-MMSE总分以及平均壳核SBR的前后梯度较低与尾状核中多巴胺耗竭的更快进展率相关。更对称的帕金森症和平均壳核SBR的前后梯度较低与前壳核中多巴胺的更快耗竭相关。发病年龄较大、更对称的帕金森症、血脂异常的存在以及平均壳核SBR的前后梯度较低与后壳核中多巴胺耗竭的更快进展率相关。较低的纹状体平均SBR预测了异动症的发生,而尾状核中较低的平均SBR预测了痴呆的发生。
我们的结果表明,对基线临床特征和DAT可用性模式的评估可以预测PD的进展及其预后。