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作 者:夏晨 钭晓帆[1] 何巧 钟楠 XIA Chen;DOU Xiaofan;HE Qiao;ZHONG Nan(Center for Rehabilitation Medicine,Department of Orthopedics,Zhejiang Provincial People's Hospital,Hangzhou Medical University Affiliated People's Hospital,Hangzhou 310014,China;Department of Pharmacy,Zhejiang Provincial People's Hospital,Hangzhou Medical College Affiliated People's Hospital,Hangzhou 310014,China)
机构地区:[1]浙江省人民医院/杭州医学院附属人民医院康复中心骨科,杭州310014 [2]浙江省人民医院/杭州医学院附属人民医院药学部,杭州310014
出 处:《药学前沿》2025年第3期478-484,共7页China Pharmacist
摘 要:目的分析普瑞巴林(PGB)联合塞来昔布(CLX)治疗对神经根型颈椎病(CSR)预后的影响因素,并构建列线图模型。方法回顾性分析2022年1月1日至2024年1月1日于浙江省人民医院接受PGB联合CLX治疗的CSR患者的临床资料。根据4周后疗效结果,将患者分为有效组和无效组。多因素Logistic回归分析预后的影响因素,并构建预后列线图模型,受试者工作特征(ROC)曲线及其曲线下面积(AUC)、校准曲线评估模型的预测效能。结果共纳入107例患者,其中有效组84例,无效组23例。PGB联合CLX治疗CSR有效率约为78.50%。多因素Logistic回归显示,年龄≥60岁[OR=5.291,95%CI(1.507,18.582),P<0.05]和颈部外伤[OR=9.211,95%CI(2.051,41.373),P<0.05]是患者预后的危险因素,而睡眠时间≥8 h[OR=0.135,95%CI(0.037,0.496),P<0.05]和运动锻炼>3次/周[OR=0.169,95%CI(0.042,0.679),P<0.05]是患者预后的保护因素。预后列线图模型AUC为0.816,校准曲线显示预后列线图模型具备较好的校准能力。结论本研究成功构建了PGB联合CLX治疗CSR的预后列线图模型,模型预测效能良好,可为临床实践提供帮助。Objective To analyze the influencing factors of pregabalin(PGB)combined with celecoxib(CLX)on the prognosis of cervical spondylotic radiculopath(CSR)and to construct a nomogram model.Methods The clinical data of CSR patients who received PGB combined with CLX in the treatment of CSR in Zhejiang Provincial people's Hospital from January 1,2022 to January 1,2024 were retrospectively analyzed.According to the efficacy results after 4 weeks,the patients were divided into an effective group and an ineffective group.Multivariate Logistic regression was used to analyze the influencing factors of prognosis,and a prognostic nomogram model was constructed.The receiver operating characteristic(ROC)curve and its area under the curve(AUC)and the calibration curve were used to evaluate the predictive efficiency of the model.Results A total of 107 patients were included,with 84 in the effective group and 23 in the ineffective group.The effective rate of PGB combined with CLX in the treatment of CSR was approximately 78.50%.Multivariate logistic regression showed that age≥60 years[OR=5.291,95%CI(1.507,18.582),P<0.05]and neck trauma[OR=9.211,95%CI(2.051,41.373),P<0.05]were risk factors for prognosis,while sleep time≥8 h[OR=0.135,95%CI(0.037,0.496),P<0.05]and exercise>3 times/week[OR=0.169,95%CI(0.042,0.679),P<0.05]were protective factors for prognosis.The AUC of the prognostic nomogram model was 0.816,and the calibration curve showed that the prognostic nomogram model had good calibration ability.Conclusion This study successfully constructed a prognostic nomogram model for PGB combined with CLX in the treatment of CSR.The model has good predictive efficiency and can provide help for clinical practice.
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