Predictors of subacute postoperative pain after total knee arthroplasty: A secondary analysis of two randomized trials.

IF 3.5 2区 医学 Q1 ANESTHESIOLOGY
Anders H Springborg, Henrik Kehlet, Niklas I Nielsen, Kirill Gromov, Anders Troelsen, Claus Varnum, Nicolai B Foss
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引用次数: 0

Abstract

Background: Methods for identifying high-pain responders undergoing total knee arthroplasty remain important to improve individualized pain management. This study aimed at evaluating pre- and perioperative predictors of pain on Days 2-7 after total knee arthroplasty.

Methods: This is a secondary analysis of data from 227 patients participating in two randomized trials. Pain outcomes were mean pain during walking on Days 2-7 and on Days 2, 4 and 7. Multivariable linear and logistic regressions were carried out in two steps. First, only preoperative available variables including demographics, comorbidities, pain catastrophizing scale and preoperative pain were evaluated while controlling for trial intervention and recruitment site. In the second step, perioperative variables and pain during walking 24 h postoperatively were added.

Results: The model with only preoperative predictors for mean pain Days 2-7 showed preoperative pain (R-squared 0.097) as the only predictor. In the second model, adding postoperative available variables, only pain 24 h postoperatively (R-squared 0.248) was significant, with a significant main effect of recruitment site. Results for the separate day analysis similarly showed preoperative pain and pain during walking 24 h postoperatively as predictors. The overall best sensitivity (60%) and specificity (74%) for predicting a high-subacute postoperative pain response on Days 2-7 was with cut-off values of VAS 45.5 (out of 100) for pain during walking 24 h postoperatively.

Conclusions: Postoperative pain during walking at 24 h is predictive of subacute postoperative pain on Days 2-7 after total knee arthroplasty, while preoperative pain was only a weak predictor.

Significance statement: This study investigated factors associated with pain after total knee arthroplasty beyond the immediate postoperative period. The analysis revealed significant associations between preoperative pain levels and, particularly, pain 24 h postoperatively, with subsequent subacute pain the following week. These findings can assist in identifying patients who would benefit from enhanced, individualized analgesic interventions to facilitate postoperative recovery.

全膝关节置换术后亚急性术后疼痛的预测因素:两项随机试验的二次分析。
背景:识别接受全膝关节置换术的高疼痛反应者的方法对于改善个性化疼痛管理仍然非常重要。本研究旨在评估全膝关节置换术后第 2-7 天疼痛的术前和围手术期预测因素:本研究对参与两项随机试验的 227 名患者的数据进行了二次分析。疼痛结果为第 2-7 天以及第 2、4 和 7 天行走时的平均疼痛。多变量线性回归和逻辑回归分两步进行。首先,只评估术前可用变量,包括人口统计学、合并症、疼痛灾难化量表和术前疼痛,同时控制试验干预和招募地点。第二步,加入围手术期变量和术后 24 小时行走时的疼痛:第 2-7 天平均疼痛的术前预测因子模型显示,术前疼痛(R 方 0.097)是唯一的预测因子。在加入术后可用变量的第二个模型中,只有术后 24 小时的疼痛(R 方为 0.248)具有显著性,而征募部位具有显著的主效应。单日分析的结果同样显示,术前疼痛和术后 24 小时行走时的疼痛是预测因素。预测第 2-7 天高度亚急性术后疼痛反应的总体最佳灵敏度(60%)和特异度(74%)是术后 24 小时行走时疼痛的 VAS 45.5(满分 100):结论:术后24小时行走时的疼痛可预测全膝关节置换术后第2-7天的亚急性术后疼痛,而术前疼痛只是一个微弱的预测因素:本研究调查了与全膝关节置换术后即刻疼痛相关的因素。分析结果表明,术前疼痛水平与术后 24 小时疼痛,尤其是术后 24 小时疼痛与随后一周的亚急性疼痛之间存在明显关联。这些研究结果有助于确定哪些患者可以从加强的个性化镇痛干预中获益,从而促进术后恢复。
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来源期刊
European Journal of Pain
European Journal of Pain 医学-临床神经学
CiteScore
7.50
自引率
5.60%
发文量
163
审稿时长
4-8 weeks
期刊介绍: European Journal of Pain (EJP) publishes clinical and basic science research papers relevant to all aspects of pain and its management, including specialties such as anaesthesia, dentistry, neurology and neurosurgery, orthopaedics, palliative care, pharmacology, physiology, psychiatry, psychology and rehabilitation; socio-economic aspects of pain are also covered. Regular sections in the journal are as follows: • Editorials and Commentaries • Position Papers and Guidelines • Reviews • Original Articles • Letters • Bookshelf The journal particularly welcomes clinical trials, which are published on an occasional basis. Research articles are published under the following subject headings: • Neurobiology • Neurology • Experimental Pharmacology • Clinical Pharmacology • Psychology • Behavioural Therapy • Epidemiology • Cancer Pain • Acute Pain • Clinical Trials.
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