| Literature DB >> 29379297 |
Lingde Kong1, Jiangbo Bai1, Kunlun Yu1, Bing Zhang1, Jichun Zhang1, Dehu Tian1.
Abstract
BACKGROUND: In the treatment of cubital tunnel syndrome (CuTS), in situ ulnar nerve decompression is commonly used. This study aims to investigate predictive factors for poor recovery and ulnar nerve instability following this procedure.Entities:
Keywords: cubital tunnel syndrome; multivariate analysis; predictors; ulnar nerve decompression
Year: 2018 PMID: 29379297 PMCID: PMC5757488 DOI: 10.2147/TCRM.S155284
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Details of Messina’s criteria
| Messina’s criteria | |
|---|---|
| Excellent | Complete resolution of symptoms with no postoperative motor or sensory deficit |
| Good | General resolution of symptoms but occasional tenderness at the incision site, mild residual decreased sensibility, or residual motor weakness |
| Fair | Improvement after surgery but with persistent sensory changes, residual motor loss, muscle wasting, or persistent claw deformity |
| Poor | No improvement after the surgical procedure or worsening of symptoms |
A comparison of variables in patients with satisfactory and unsatisfactory outcomes
| Variable | Unsatisfactory group (n=27) | Satisfactory group (n=208) | |
|---|---|---|---|
| Age (years) | 54.1±11.3 | 53.2±10.6 | 0.681 |
| Gender | 0.830 | ||
| Male | 17 | 137 | |
| Female | 10 | 71 | |
| BMI (kg/m2) | 24.1±3.1 | 23.5±2.7 | 0.287 |
| Tobacco use | 0.649 | ||
| Yes | 6 | 59 | |
| No | 21 | 149 | |
| Alcohol use | 0.614 | ||
| Yes | 4 | 42 | |
| No | 23 | 166 | |
| Hypertension | 0.438 | ||
| Yes | 7 | 39 | |
| No | 20 | 169 | |
| Diabetes mellitus | 0.748 | ||
| Yes | 2 | 23 | |
| No | 25 | 185 | |
| Disease duration (months) | 17.1±6.7 | 13.8±7.4 | 0.029 |
| Preoperative severity | 0.004 | ||
| Severe | 25 | 137 | |
| Not severe | 2 | 71 | |
| MCV (m/s) | 28.2±10.5 | 34.1±12.8 | 0.023 |
| SCV (m/s) | 23.4±11.7 | 27.6±8.4 | 0.021 |
Abbreviations: BMI, body mass index; MCV, motor conduction velocity; SCV, sensory conduction velocity.
Multivariate logistic regression analysis of risk factors for poor recovery
| Variable | OR | 95% CI | |
|---|---|---|---|
| Disease duration ≥12 months | 2.14 | 0.75–6.16 | 0.156 |
| Severe preoperative symptom | 3.06 | 2.16–4.32 | <0.001 |
| MCV (m/s) | 1.22 | 0.87–1.72 | 0.248 |
| SCV (m/s) | 1.04 | 0.68–1.58 | 0.863 |
Abbreviations: OR, odds ratio; CI, confidence interval; MCV, motor conduction velocity; SCV, sensory conduction velocity.
Multivariate logistic regression analysis of risk factors for postoperative ulnar nerve instability
| Variable | OR | 95% CI | |
|---|---|---|---|
| Age ≤40 years | 2.41 | 1.63–3.58 | <0.001 |
| Male gender | 1.93 | 0.62–5.97 | 0.25 |
| BMI ≥25 kg/m2 | 1.19 | 0.67–2.08 | 0.56 |
Abbreviations: OR, odds ratio; CI, confidence interval; BMI, body mass index.
Summary of previous reports on risk factors for poor surgical outcomes following ulnar nerve decompression
| Study | Year | Study design | No of patients | Surgical strategy | Identified risk factors |
|---|---|---|---|---|---|
| Yamamoto et al | 2006 | Retrospective | 107 | Simple decompression, anterior transposition | Age, duration of disease, preoperative severity, and motor nerve conduction velocity |
| Krogue et al | 2015 | Retrospective | 231 | Simple decompression | Prior elbow fracture |
| Kang et al | 2016 | Prospective | 41 | Simple decompression, anterior transposition | Older age, worse preoperative grip strength, and worse two-point discrimination |
| Bruder et al | 2017 | Retrospective | 42 | Simple decompression, anterior transposition | Duration of disease |
| Suzuki et al | 2017 | Retrospective | 125 | Simple decompression, anterior transposition, medial epicondylectomy | Preoperative severity |