Salamanna Francesca, Pagani Stefania, Filardo Giuseppe, Contartese Deyanira, Boffa Angelo, Angelelli Lucia, Maglio Melania, Fini Milena, Zaffagnini Stefano, Giavaresi Gianluca
Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy.
Applied and Translational Research (ATR) Center, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy.
Biomedicines. 2024 Sep 10;12(9):2052. doi: 10.3390/biomedicines12092052.
Platelets and lymphocytes levels are important in assessing systemic disorders, reflecting inflammatory and immune responses. This study investigated the relationship between blood parameters (platelet count (PLT), mean platelet volume (MPV), lymphocyte count (LINF), and platelet-to-lymphocyte ratio (PLR)) and osteoarthritis (OA) severity, considering age, sex, and body mass index (BMI).
Patients aged ≥40 years were included in this cross-sectional study and divided into groups based on knee OA severity using the Kellgren-Lawrence (KL) grading system. A logistic regression model, adjusted for confounders, evaluated the ability of PLT, MPV, LINF, and PLR to categorize OA severity. Model performance in terms of accuracy, sensitivity, and specificity was assessed using ROC curves.
The study involved 245 OA patients (51.4% female, 48.6% male) aged 40-90 years, 35.9% with early OA (KL < 3) and 64.1% moderate/severe OA (KL ≥ 3). Most patients (60.8%) were aged ≥60 years, and BMI was <25 kg/m in 33.9%. The model showed that a 25-unit increase in PLR elevates the odds of higher OA levels by 1.30 times (1-unit OR = 1.011, 95% CI [1.004, 1.017], < 0.005), while being ≥40 years old elevates the odds by 4.42 times (OR 4.42, 95% CI [2.46, 7.95], < 0.0005). The model's accuracy was 73.1%, with 84% sensitivity, 52% specificity, and an AUC of 0.74 (95% CI [0.675, 0.805]).
Higher PLR increases the likelihood of moderate/severe OA, suggesting that monitoring these biomarkers could aid in early detection and management of OA severity. Further research is warranted to cross-validate these results in larger populations.
血小板和淋巴细胞水平在评估全身性疾病中很重要,反映了炎症和免疫反应。本研究考虑年龄、性别和体重指数(BMI),调查了血液参数(血小板计数(PLT)、平均血小板体积(MPV)、淋巴细胞计数(LINF)和血小板与淋巴细胞比值(PLR))与骨关节炎(OA)严重程度之间的关系。
年龄≥40岁的患者纳入本横断面研究,并使用凯尔格伦-劳伦斯(KL)分级系统根据膝关节OA严重程度分组。一个经混杂因素调整的逻辑回归模型评估了PLT、MPV、LINF和PLR对OA严重程度进行分类的能力。使用ROC曲线评估模型在准确性、敏感性和特异性方面的表现。
该研究纳入了245例年龄在40 - 90岁的OA患者(女性51.4%,男性48.6%),35.9%为早期OA(KL < 3),64.1%为中度/重度OA(KL≥3)。大多数患者(60.8%)年龄≥60岁,33.9%的患者BMI < 25 kg/m²。模型显示,PLR每增加25个单位,OA水平升高的几率增加1.30倍(1个单位的OR = 1.011,95% CI [1.004, 1.017],P < 0.005),而年龄≥40岁使几率增加4.42倍(OR 4.42,95% CI [2.46, 7.95],P < 0.0005)。模型的准确性为73.1%,敏感性为84%,特异性为52%,AUC为0.74(95% CI [0.675, 0.805])。
较高的PLR增加了中度/重度OA的可能性,表明监测这些生物标志物有助于OA严重程度的早期检测和管理。有必要进行进一步研究以在更大人群中交叉验证这些结果。