Chen Bin, Shi Guozhen, Gao Pengfei
Cardio-Thoracic Surgery, Jiangnan University Medical Center Wuxi 214000, Jiangsu, China.
Cardio-Thoracic Surgery, Yixing People's Hospital Yixing 214200, Jiangsu, China.
Am J Transl Res. 2024 Dec 15;16(12):7959-7971. doi: 10.62347/NHTK3687. eCollection 2024.
Chronic post-surgical pain (CPSP) following thoracoscopic lung cancer surgery is a common and challenging complication. Identifying risk factors and predictive markers is essential for improving patient outcome.
In this retrospective case-control study, the clinical data from 106 patients with non-small cell lung cancer (NSCLC) who underwent thoracoscopic radical resection between January 2021 and December 2023 were comprehensively analyzed. Patients were divided into a CPSP group (n = 41) and a non-CPSP group (n = 65) based on CPSP status. An external validation cohort of 20 patients was also assessed. Demographic data, perioperative characteristics, psychological states, and pain scores were compared between the two groups. Logistic regression analysis was used to identify predictors of CPSP, and their predictive performance was validated using receiver operating characteristic (ROC) curve analysis.
Age and TNM stage were significantly higher in the CPSP group (P < 0.001). Significant differences were observed in pain scores on postoperative days 1-3 and Fear of Pain Questionnaire-III (FPQ-III) scores (P = 0.003 and P < 0.001, respectively) between the two groups. Multivariate logistic regression identified age (OR, 1.230; P < 0.001), TNM staging (OR, 5.106; P < 0.001), early postoperative pain score (OR, 1.868; P = 0.012), and FPQ-III score (OR, 1.135; P < 0.001) as independent predictors of CPSP. A nomogram based on these predictors demonstrated excellent discrimination ability, with an area under the curve (AUC) of 0.891. External validation yielded an AUC of 0.956, confirming high sensitivity (1.00) and specificity (0.923).
Age, advanced TNM stage, early postoperative pain intensity, and higher fear of pain are significant predictors of chronic postoperative pain following thoracoscopic lung cancer surgery. Incorporating these factors into predictive models may improve postoperative management and reduce CPSP incidence.
胸腔镜肺癌手术后的慢性术后疼痛(CPSP)是一种常见且具有挑战性的并发症。识别风险因素和预测标志物对于改善患者预后至关重要。
在这项回顾性病例对照研究中,对2021年1月至2023年12月期间接受胸腔镜根治性切除术的106例非小细胞肺癌(NSCLC)患者的临床资料进行了全面分析。根据CPSP状态将患者分为CPSP组(n = 41)和非CPSP组(n = 65)。还评估了一个由20名患者组成的外部验证队列。比较了两组之间的人口统计学数据、围手术期特征、心理状态和疼痛评分。采用逻辑回归分析确定CPSP的预测因素,并使用受试者工作特征(ROC)曲线分析验证其预测性能。
CPSP组的年龄和TNM分期显著更高(P < 0.001)。两组在术后第1 - 3天的疼痛评分和疼痛恐惧问卷III(FPQ - III)评分方面存在显著差异(分别为P = 0.003和P < 0.001)。多因素逻辑回归确定年龄(比值比[OR],1.230;P < 0.001)、TNM分期(OR,5.106;P < 0.001)、术后早期疼痛评分(OR,1.868;P = 0.012)和FPQ - III评分(OR,1.135;P < 0.001)为CPSP的独立预测因素。基于这些预测因素的列线图显示出出色的区分能力,曲线下面积(AUC)为0.891。外部验证的AUC为0.956,证实了高敏感性(1.00)和特异性(0.923)。
年龄、晚期TNM分期、术后早期疼痛强度以及对疼痛的更高恐惧是胸腔镜肺癌手术后慢性术后疼痛的重要预测因素。将这些因素纳入预测模型可能会改善术后管理并降低CPSP的发生率。