Arrhythmia Service, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON K1Y 4W7, Canada.
Department of Medicine, University of Calgary, Libin Cardiovascular Institute, Calgary, AB, Canada.
Europace. 2021 May 21;23(5):748-756. doi: 10.1093/europace/euaa349.
Post-operative pain following cardiac implantable electronic device (CIED) insertion is associated with patient dissatisfaction, emotional distress, and emergency department visits. We sought to identify factors associated with post-operative pain and develop a prediction score for post-operative pain.
All patients from the BRUISE CONTROL-1 and 2 trials were included in this analysis. A validated Visual Analogue Scale (VAS) was used to assess the severity of pain related to CIED implant procedures. Patients were asked to grade the most severe post-operative pain, average post-operative pain, and pain on the day of the first post-operative clinic. Multivariable regression analyses were performed to identify predictors of significant post-operative pain and to develop a pain-prediction score. A total of 1308 patients were included. Multivariable regression analysis found that the presence of post-operative clinically significant haematoma {CSH; P value < 0.001; odds ratio (OR) 3.82 [95% confidence interval (CI): 2.37-6.16]}, de novo CIED implantation [P value < 0.001; OR 1.90 (95% CI: 1.47-2.46)], female sex [P value < 0.001; OR 1.61 (95% CI: 1.22-2.12)], younger age [<65 years; P value < 0.001; OR 1.54 (95% CI: 1.14-2.10)], and lower body mass index [<20 kg/m2; P value < 0.05; OR 2.05 (95% CI: 0.98-4.28)] demonstrated strong and independent associations with increased post-operative pain. An 11-point post-operative pain prediction score was developed using the data.
Our study has identified multiple predictors of post-operative pain after CIED insertion. We have developed a prediction score for post-operative pain that can be used to identify individuals at risk of experiencing significant post-operative pain.
心脏植入式电子设备(CIED)置入术后疼痛与患者的不满、情绪困扰和急诊就诊有关。我们旨在确定与术后疼痛相关的因素,并制定术后疼痛预测评分。
本分析纳入了 BRUISE CONTROL-1 和 2 试验的所有患者。采用经过验证的视觉模拟量表(VAS)评估与 CIED 植入程序相关的疼痛严重程度。患者被要求对术后最严重疼痛、平均术后疼痛和术后第一次就诊日的疼痛进行评分。采用多变量回归分析确定术后显著疼痛的预测因素,并制定疼痛预测评分。共纳入 1308 例患者。多变量回归分析发现,术后出现临床显著血肿(CSH;P 值<0.001;优势比 [OR] 3.82[95%置信区间(CI):2.37-6.16])、新植入 CIED[P 值<0.001;OR 1.90(95%CI:1.47-2.46)]、女性[P 值<0.001;OR 1.61(95%CI:1.22-2.12)]、年龄较小(<65 岁;P 值<0.001;OR 1.54(95%CI:1.14-2.10))和较低的体重指数(<20kg/m2;P 值<0.05;OR 2.05(95%CI:0.98-4.28))与术后疼痛增加具有显著的独立相关性。使用这些数据开发了一个 11 分的术后疼痛预测评分。
我们的研究确定了 CIED 置入术后疼痛的多个预测因素。我们制定了术后疼痛预测评分,可以用于识别可能经历显著术后疼痛的个体。