How to assess the long-term recovery outcomes of patients with cauda equina syndrome before surgery: a retrospective cohort study

Author:

Wang Qiushi12,Hou Guangdong3,Wen Mengyuan14,Ren Zhongwu2,Duan Wei1,Lei Xin1,Yao Zhou1,Zhao Shixian1,Ye Bin1,Tu Zhipeng1,Huang Peipei1,Xie Fang1,Gao Bo1,Hu Xueyu1,Luo Zhuojing1

Affiliation:

1. Department of Orthopaedic, Xijing Hospital, Air Force Medical University, 710032 Xi’an, China

2. Department of Orthopaedic, No. 970th Hospital of Joint Logistic Support Force of PLA, 264000 Yantai, China

3. Department of Urology, Xijing Hospital, Air Force Medical University, 710032 Xi’an, China;

4. School of Nursing, Shaanxi University of Traditional Chinese Medicine, Xianyang 712046, Shaanxi, China

Abstract

Background: Factors influencing recovery after decompression surgery for cauda equina syndrome (CES) are not completely identified. We aimed to investigate the most valuable predictors (MVPs) of poor postoperative recovery (PPR) in patients with CES and construct a nomogram for discerning those who will experience PPR. Methods: 356 patients with CES secondary to lumbar degenerative diseases treated at *** Hospital were randomly divided into training (N=238) and validation (N=118) cohorts at a 2:1 ratio. Moreover, 92 patients from the **** Hospital composed the testing cohort. Least Absolute Shrinkage and Selection Operator regression (LASSO) was used for selecting MVPs. The nomogram was developed by integrating coefficients of MVPs in the logistic regression, and its discrimination, calibration, and clinical utility were validated in all three cohorts. Results: After 3 to 5 years of follow-up, the residual rates of bladder dysfunction, bowel dysfunction, sexual dysfunction, and saddle anesthesia were 41.9%, 44.1%, 63.7%, and 29.0%, respectively. MVPs included stress urinary incontinence, overactive bladder, low stream, difficult defecation, fecal incontinence, and saddle anesthesia in order. The discriminatory ability of the nomogram was up to 0.896, 0.919, and 0.848 in the training, validation, and testing cohorts, respectively. Besides, the nomogram showed good calibration and clinical utility in all cohorts. Furthermore, the optimal cut-off value of the nomogram score for distinguishing those who will experience PPR was 148.02, above which postoperative outcomes tend to be poor. Conclusion: The first pre-treatment nomogram for discerning CES patients who will experience PPR was developed and validated, which will aid clinicians in clinical decision-making.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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