%A Jiao, Xiu %A Zhu, Ai-Qing %T Predictive analysis of the severity of hip arthritis using platelet-to-lymphocyte ratio: a cross-sectional study %9 Research Article %D 2018 %J Clinical Trials in Orthopedic Disorders %R 10.4103/2542-4157.240468 %P 59-65 %V 3 %N 3 %U https://www.clinicalto.com/article.asp?issn=2542-4157;year=2018;volume=3;issue=3;spage=59;epage=65;aulast=Jiao %8 July 1, 2018 %X Background and objectives: Inflammatory changes play an important role in the pathogenesis of hip arthritis. However, there are currently no available effective inflammatory markers for the prediction of the severity of hip arthritis. Platelet-to-lymphocyte ratio (PLR) has been shown to be correlated with the severity of rheumatoid arthritis, psoriatic arthritis, and colon cancer. This study hypothesizes that PLR is correlated with the severity of hip arthritis and that it can be used as a marker for evaluating the severity of hip arthritis in a Chinese patient population. Methods: This prospective, single-center, cross-sectional study includes 260 patients with hip arthritis from the wards of Yantai Affiliated Hospital of Binzhou Medical University, China [130 patients with mild and moderate hip arthritis (Kellgren-Lawrence Grading Scale grade 1–2) and 130 patients with severe hip arthritis (Kellgren-Lawrence Grading Scale grade 3–4)]. In addition, 130 healthy controls are also included in this study. This study protocol was approved by Medical Ethics Committee, Yantai Affiliated Hospital of Binzhou Medical University of China in June 2018 (approval No. 20180601001). This study is performed in strict accordance with the Declaration of Helsinki developed by the World Medical Association. Study protocol is 1.0. Written informed consent is obtained from each patient. On the day of admission, patient clinical data are collected, and blood biochemistry tests and hip X-ray examinations are performed. Results: The primary outcome measure is PLR. Secondary outcome measures are platelet count, lymphocyte count, X-ray morphology of the hip, logistic regression analysis results of risk factors for the severity of hip arthritis, area under the ROC curve, cut-off value, sensitivity and specificity of PLR in predicting the severity of hip arthritis. A pilot study involving 182 patients with hip arthritis, consisting of 98 patients with mild and moderate hip arthritis and 84 patients with severe hip arthritis, was performed between January 2014 and June 2017 at Yantai Affiliated Hospital of Binzhou Medical University. PLR was 115.71 ± 29.31 and 146.17 ± 52.00 in 98 patients with mild and moderate hip arthritis and 84 patients with severe hip arthritis, respectively. Logistic regression analysis of this pilot study revealed that diabetes, age, increased body mass index, and increased PLR were associated with aggravation of hip arthritis and were also independent risk factors of this disorder. Conclusion: PLR at a designated cut-off value can be used as a predictor of the severity of hip arthritis. We hope to perform a study involving 390 patients to further shed light on the correlation between PLR and the severity of hip arthritis: whether PLR has the required sensitivity, specificity, and accuracy in predicting the severity of hip arthritis, and what the optimal cut-off value of PLR is in the predicting the severity of hip arthritis based on the ROC curve. Trial registration: This study was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR1800016820). %0 Journal Article %I Wolters Kluwer Medknow Publications %@ 2542-4157