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基于 6 项临床预测指标的慢性术后疼痛术前风险模型:前瞻性外部验证。

Presurgical risk model for chronic postsurgical pain based on 6 clinical predictors: a prospective external validation.

机构信息

Pain Unit, Department of Anesthesiology, Parc de Salut MAR, Institut Municipal d'Investigació Mèdica, Universitat Autònoma de Barcelona, Barcelona, Spain.

Department of Anesthesiology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain.

出版信息

Pain. 2020 Nov;161(11):2611-2618. doi: 10.1097/j.pain.0000000000001945.

DOI:10.1097/j.pain.0000000000001945
PMID:32541391
Abstract

No externally validated presurgical risk score for chronic postsurgical pain (CPSP) is currently available. We tested the generalizability of a six-factor risk model for CPSP developed from a prospective cohort of 2929 patients in 4 surgical settings. Seventeen centers enrolled 1225 patients scheduled for inguinal hernia repair, hysterectomy (vaginal or abdominal), or thoracotomy. The 6 clinical predictors were surgical procedure, younger age, physical health (Short Form Health Survey-12), mental health (Short Form Health Survey-12), preoperative pain in the surgical field, and preoperative pain in another area. Chronic postsurgical pain was confirmed by physical examination at 4 months. The model's discrimination (c-statistic), calibration, and diagnostic accuracy (sensitivity, specificity, and positive and negative likelihood ratios) were calculated to assess geographic and temporal transportability in the full cohort and 2 subsamples (historical and new centers). The full data set after exclusions and losses included 1088 patients; 20.6% had developed CPSP at 4 months. The c-statistics (95% confidence interval) were similar in the full validation sample and the 2 subsamples: 0.69 (0.65-0.73), 0.69 (0.63-0.74), and 0.68 (0.63-0.74), respectively. Calibration was good (slope b and intercept close to 1 and 0, respectively, and nonsignificance in the Hosmer-Lemeshow goodness-of-fit test). The validated model based on 6 clinical factors reliably identifies risk for CPSP risk in about 70% of patients undergoing the surgeries studied, allowing surgeons and anesthesiologists to plan and initiate risk-reduction strategies in routine practice and researchers to screen for risk when randomizing patients in trials.

摘要

目前尚无针对慢性术后疼痛(CPSP)的外部验证术前风险评分。我们测试了一个从四个手术环境中的 2929 名患者前瞻性队列中开发的 CPSP 六因素风险模型的通用性。17 个中心招募了 1225 名计划接受腹股沟疝修补术、子宫切除术(阴道或腹部)或开胸术的患者。6 个临床预测因子是手术程序、年龄较小、身体健康(简短健康调查-12)、心理健康(简短健康调查-12)、手术部位的术前疼痛和另一部位的术前疼痛。通过 4 个月的体格检查确认慢性术后疼痛。使用全队列和 2 个亚组(历史和新中心)计算模型的区分度(c 统计量)、校准和诊断准确性(敏感性、特异性、阳性和阴性似然比),以评估地理和时间的可转移性。排除和丢失后的数据包括 1088 名患者;20.6%的患者在 4 个月时出现 CPSP。全验证样本和 2 个亚组的 c 统计量(95%置信区间)相似:0.69(0.65-0.73)、0.69(0.63-0.74)和 0.68(0.63-0.74)。校准良好(斜率 b 和截距分别接近 1 和 0,Hosmer-Lemeshow 拟合优度检验无显著性)。基于 6 个临床因素的验证模型可在接受研究手术的约 70%的患者中可靠地识别 CPSP 风险,使外科医生和麻醉师能够在常规实践中计划和启动降低风险策略,并使研究人员在试验中对患者进行随机分组时筛选风险。

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