This study aimed to explore the association of routine blood test values and blood cell ratios with the risk or severity of Parkinson's disease (PD). The medical records of 453 PD patients and 436 controls were retrospectively reviewed. The severity of PD was quantified by the modified Hoehn-Yahr (HY) scale. We performed principal component analysis (PCA) of significant values/ratios and used logistic regression analysis to explore the relationship between principal components (PCs) and the risk of PD. Spearman correlation and ordinal logistic regression analyses were performed to explore the relationship between indicators and the severity of PD. The PCA generated 9 PCs, which contributed to 90.86% of the total variance. Logistic regression analysis revealed positive associations of PC2 (a measure monocyte ratios) and PC6 (a measure of platelet ratios and volume) and negative associations of PC1 (a comprehensive measure of lymphocyte, eosinophil, neutrophil, and red blood cell values), PC4 (a measure of red blood cell values), and PC7 (a measure of red blood cell values and platelet volume) with the risk of PD. However, we observed no associations of variables with the severity of PD. In conclusion, PCA reduced the dimensionality of the data. Peripheral blood disorders may be associated with PD.

这项研究旨在探讨常规血液检测值和血细胞比率与帕金森氏病（PD）的风险或严重程度之间的关系。回顾性分析了453名PD患者和436名对照者的病历。PD的严重程度通过改良的Hoehn-Yahr（HY）量表进行量化。我们进行了具有重要价值/比率的主成分分析（PCA），并使用逻辑回归分析来探讨主成分（PC）与PD风险之间的关系。进行了Spearman相关性和序数逻辑回归分析，以探讨指标与PD严重程度之间的关系。PCA生成了9台PC，占总方差的90.86％。Logistic回归分析显示PC2（衡量单核细胞比例）和PC6（衡量血小板比例和体积）的正相关，而PC1（淋巴细胞，嗜酸性粒细胞，中性粒细胞和红细胞值的综合指标）的负相关。 PD风险）和PC7（衡量红细胞值和血小板量）的风险。但是，我们没有发现变量与PD的严重程度相关。总之，PCA降低了数据的维数。外周血疾病可能与PD有关。但是，我们没有发现变量与PD的严重程度相关。总之，PCA降低了数据的维数。外周血疾病可能与PD有关。但是，我们没有发现变量与PD的严重程度相关。总之，PCA降低了数据的维数。外周血疾病可能与PD有关。