Scholarlink

Background <p>Chronic postsurgical pain (CPSP) is common after arthroscopic rotator cuff repair (ARCR). Preoperative risk assessment tools are lacking.</p> Methods <p>This retrospective multicenter study included 1,509 ARCR patients (derivation cohort: <i>n</i> = 846, split 7:3 into training/internal validation; external validation: <i>n</i> = 663). Preoperative variables with <i>p</i> &lt; 0.05 in baseline comparisons (CPSP vs. non-CPSP) were entered into multivariable logistic regression. Independent predictors were incorporated into a nomogram. Model performance was assessed by the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA).</p> Results <p>Five preoperative factors—lower American Shoulder and Elbow Surgeons (ASES) score, elevated C-reactive protein, greater supraspinatus tendon retraction, and higher fatty infiltration grades of the supraspinatus and subscapularis muscles—were independently associated with CPSP. The nomogram showed good discrimination (AUC: training 0.87, internal validation 0.84, external validation 0.86), good calibration (Hosmer–Lemeshow <i>p</i> &gt; 0.10), and positive net benefit on DCA.</p> Conclusion <p>This multicenter nomogram provides a simple, non-invasive preoperative tool for CPSP risk stratification after ARCR and may help guide individualized perioperative pain management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Preoperative nomogram for predicting chronic postsurgical pain after arthroscopic rotator cuff repair

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月2日

查看全文
  • Longqiang Zou,
  • Daqing Zhu,
  • Yiwen Hu,
  • Liangcai Huang,
  • Zhengnan Li,
  • Hui Zeng,
  • Shaojian Chen

摘要

Background

Chronic postsurgical pain (CPSP) is common after arthroscopic rotator cuff repair (ARCR). Preoperative risk assessment tools are lacking.

Methods

This retrospective multicenter study included 1,509 ARCR patients (derivation cohort: n = 846, split 7:3 into training/internal validation; external validation: n = 663). Preoperative variables with p < 0.05 in baseline comparisons (CPSP vs. non-CPSP) were entered into multivariable logistic regression. Independent predictors were incorporated into a nomogram. Model performance was assessed by the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA).

Results

Five preoperative factors—lower American Shoulder and Elbow Surgeons (ASES) score, elevated C-reactive protein, greater supraspinatus tendon retraction, and higher fatty infiltration grades of the supraspinatus and subscapularis muscles—were independently associated with CPSP. The nomogram showed good discrimination (AUC: training 0.87, internal validation 0.84, external validation 0.86), good calibration (Hosmer–Lemeshow p > 0.10), and positive net benefit on DCA.

Conclusion

This multicenter nomogram provides a simple, non-invasive preoperative tool for CPSP risk stratification after ARCR and may help guide individualized perioperative pain management.