This study was addressed to determine the presence of Parkinson disease (PD) manifestations, their distribution according to motor subtypes, and the relationships with health-related quality of life (QoL) using the recently validated European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS). Frequency of symptoms was determined by the scores of items (present if >0). Using ROC analysis and Youden method, MDS-UPDRS motor subtypes were projected on the PDCS to achieve a comparable classification based on the PDCS scores. The same method was used to estimate severity levels from other measures in the study. The association between the PDCS and QoL (PDQ-39) was analyzed by correlation and multiple linear regression. The sample consisted of 776 PD patients. We found that the frequency of PD manifestations with PDCS and MDS-UPDRS were overlapping, the average difference between scales being 5.5% only. Using the MDS-UPDRS subtyping, 215 patients (27.7%) were assigned as Tremor Dominant (TD), 60 (7.7%) Indeterminate, and 501 (64.6%) Postural Instability and Gait Difficulty (PIGD) in this cohort. With this classification as criterion, the analogous PDCS-based ratio provided these cut-off values: TD subtype, ≥1.06; Indeterminate, <1.06 but >0.65; and PIGD, <0.65. The agreement between the two scales on this classification was substantial (87.6%; kappa = 0.69). PDCS total score cut-offs for PD severity were: 23/24 for mild/moderate and 41/42 for moderate/severe. Moderate to high correlations (r = 0.35–0.80) between PDCS and PDQ-39 were obtained, and the four PDCS domains showed a significant independent influence on QoL. The conclusions are: (1) the PDCS assessed the frequency of PD symptoms analogous to the MDS-UPDRS; (2) motor subtypes and severity levels can be determined with the PDCS; (3) a significant association between PDCS and QoL scores exists.

这项研究旨在确定帕金森氏病（PD）表现的存在，根据运动亚型的分布以及与健康相关的生活质量（QoL）的关系，方法是使用最近验证的欧洲帕金森氏病协会赞助的帕金森氏病综合量表（ PDCS）。症状的发生频率由项目得分决定（如果> 0，则为存在）。使用ROC分析和Youden方法，将MDS-UPDRS电机亚型投影到PDCS上，以基于PDCS得分实现可比的分类。使用相同的方法从研究中的其他措施估算严重性水平。通过相关性和多元线性回归分析了PDCS和QoL（PDQ-39）之间的关联。样本包括776名PD患者。我们发现PDCS与PDCS和MDS-UPDRS的PD表现频率重叠，量表之间的平均差异仅为5.5％。使用MDS-UPDRS亚型，该队列中的215例患者（27.7％）被指定为震颤优势（TD），60例（7.7％）不确定，501例（64.6％）的姿势不稳定和步态困难（PIGD）。以这种分类为标准，类似的基于PDCS的比率提供了以下临界值：TD亚型，≥1.06；不确定，<1.06但> 0.65；和PIGD，<0.65。两种量表在此分类上的一致性很高（87.6％； kappa = 0.69）。PDCS PD严重程度的总分截止值为：轻度/中度为23/24，中度/重度为41/42。中度到高相关性（使用MDS-UPDRS亚型，该队列中的215例患者（27.7％）被指定为震颤优势（TD），60例（7.7％）不确定，501例（64.6％）的姿势不稳定和步态困难（PIGD）。以这种分类为标准，类似的基于PDCS的比率提供了以下临界值：TD亚型，≥1.06；不确定，<1.06但> 0.65；和PIGD，<0.65。两种量表在此分类上的一致性很高（87.6％； kappa = 0.69）。PDCS PD严重程度的总分截止值为：轻度/中度为23/24，中度/重度为41/42。中度到高相关性（使用MDS-UPDRS亚型，该队列中的215例患者（27.7％）被指定为震颤优势（TD），60例（7.7％）不确定，501例（64.6％）的姿势不稳定和步态困难（PIGD）。以这种分类为标准，类似的基于PDCS的比率提供了以下临界值：TD亚型，≥1.06；不确定，<1.06但> 0.65；和PIGD，<0.65。两种量表在此分类上的一致性很高（87.6％； kappa = 0.69）。PDCS PD严重程度的总分截止值为：轻度/中度为23/24，中度/重度为41/42。中度到高相关性（类似的基于PDCS的比率提供了以下临界值：TD亚型，≥1.06；不确定，<1.06但> 0.65；和PIGD，<0.65。两种量表在此分类上的一致性很高（87.6％； kappa = 0.69）。PDCS PD严重程度的总分截止值为：轻度/中度为23/24，中度/重度为41/42。中度到高相关性（类似的基于PDCS的比率提供了以下临界值：TD亚型，≥1.06；不确定，<1.06但> 0.65；和PIGD，<0.65。两种量表在此分类上的一致性很高（87.6％； kappa = 0.69）。PDCS PD严重程度的总分截止值为：轻度/中度为23/24，中度/重度为41/42。中度到高相关性（ 在PDCS和PDQ-39之间获得r = 0.35-0.80），并且四个PDCS域对QoL表现出显着的独立影响。结论是：（1）PDCS评估了类似于MDS-UPDRS的PD症状的频率；（2）可以使用PDCS确定运动亚型和严重程度；（3）PDCS与QoL得分之间存在显着关联。