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一种识别治疗反应预测因素的新算法:曲马多单药治疗或曲马多/普瑞巴林联合治疗慢性下腰痛?

A Novel Algorithm to Identify Predictors of Treatment Response: Tapentadol Monotherapy or Tapentadol/Pregabalin Combination Therapy in Chronic Low Back Pain?

作者信息

Otto Jan C, Forstenpointner Julia, Sachau Juliane, Hüllemann Philipp, Hukauf Martin, Keller Thomas, Gierthmühlen Janne, Baron Ralf

机构信息

Division of Neurological Pain Research and Therapy, Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.

StatConsult GmbH, Magdeburg, Germany.

出版信息

Front Neurol. 2019 Sep 13;10:979. doi: 10.3389/fneur.2019.00979. eCollection 2019.

Abstract

High dose monotherapies or drug combinations are used to achieve sufficient analgesia for the treatment of severe chronic low back pain, before invasive therapy options are considered. In order to demonstrate an alternative for an empirical treatment approach, the authors' primary aim was to present an algorithm for the objective identification of treatment predictors. Additionally, the study identified baseline-characteristics in chronic low back pain patients prior to tapentadol PR treatment, as well as scrutinized those patients, either benefitting from a medium/high dose tapentadol PR monotherapy or a combination therapy (medium dose tapentadol PR + pregabalin). The statistical approach included data of a previously published randomized, double blind, phase 3b study which compared the effectiveness and safety of tapentadol PR vs. a combination of tapentadol PR and pregabalin. In total, 46 clinical parameters were included in the statistical prediction models which were applied separately either to 50 patients who already responded well during the titration period (i.e., medium dose tapentadol PR) or to 261 patients with in the comparative treatment period [i.e., monotherapy (high dose tapentadol PR) or combination therapy (medium dose tapentadol PR/pregabalin)]. The first statistical model identified three co-variables (NRS-3, PDQ, SQ) with predictive effects on patients responding well ("optimal responders") to a medium dose tapentadol PR titration. Those patients presented low baseline pain intensity scores, good sleep quality and high painDETECT scores. The second statistical model identified eight co-variables (PDQ, numbness, SF-12 MCS, SF-12 PCS, VAS, HADS-A, HADS-D, SQ) with predictive effects on patients responding to high dose tapentadol PR monotherapy vs. a combination therapy (tapentadol PR + pregabalin). The high dose tapentadol PR responders indicated high painDETECT scores, little numbness and a good mental health status. Whereas, the combination therapy (tapentadol PR + pregabalin) responders were characterized by severe sleep disturbances and little anxiety. The statistical analysis characterized chronic low back pain patients and identified factors contributing to a treatment response. Thus, this retrospective statistical algorithm represents an elegant method, which may contribute to future strategies toward a more individualized and improved mechanism based pain therapy.

摘要

在考虑采用侵入性治疗方案之前,高剂量单一疗法或药物联合疗法被用于为重度慢性下腰痛的治疗实现足够的镇痛效果。为了展示一种经验性治疗方法的替代方案,作者的主要目的是提出一种用于客观识别治疗预测指标的算法。此外,该研究确定了曲马多缓释片治疗前慢性下腰痛患者的基线特征,并对那些从高/中剂量曲马多缓释片单一疗法或联合疗法(中剂量曲马多缓释片+普瑞巴林)中获益的患者进行了详细审查。统计方法纳入了一项先前发表的随机、双盲、3b期研究的数据,该研究比较了曲马多缓释片与曲马多缓释片和普瑞巴林联合用药的有效性和安全性。统计预测模型总共纳入了46个临床参数,这些参数分别应用于50名在滴定期已表现出良好反应的患者(即中剂量曲马多缓释片)或261名处于对照治疗期的患者[即单一疗法(高剂量曲马多缓释片)或联合疗法(中剂量曲马多缓释片/普瑞巴林)]。第一个统计模型确定了三个对中剂量曲马多缓释片滴定反应良好的患者(“最佳反应者”)具有预测作用的协变量(NRS-3、PDQ、SQ)。这些患者表现出较低的基线疼痛强度评分、良好的睡眠质量和较高的疼痛DETECT评分。第二个统计模型确定了八个对高剂量曲马多缓释片单一疗法与联合疗法(曲马多缓释片+普瑞巴林)反应的患者具有预测作用的协变量(PDQ、麻木感、SF-12 MCS、SF-12 PCS、VAS、HADS-A、HADS-D、SQ)。高剂量曲马多缓释片反应者表现出较高的疼痛DETECT评分、较少的麻木感和良好的心理健康状态。而联合疗法(曲马多缓释片+普瑞巴林)反应者的特征是严重的睡眠障碍和较少的焦虑。统计分析对慢性下腰痛患者进行了特征描述,并确定了有助于治疗反应的因素。因此,这种回顾性统计算法是一种巧妙的方法,可能有助于未来制定更个体化、基于机制的疼痛治疗策略。

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