Schroen Christoph A, Hausman Michael R, Cagle Paul J
Leni & Peter W. May Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Hand, Plastic and Reconstructive Surgery, BG Trauma Center Ludwigshafen, Heidelberg University, Heidelberg, Germany.
Clin Orthop Relat Res. 2025 Sep 3. doi: 10.1097/CORR.0000000000003672.
Peripheral nerve injury commonly results in pain and long-term disability for patients. Recovery after in-continuity stretch or crush injury remains inherently unpredictable. However, surgical intervention yields the most favorable outcomes when performed shortly after injury. Our inability to accurately distinguish injuries that will recover naturally from those needing immediate surgical intervention makes surgical decision-making highly challenging and often results in delayed surgery with unsatisfying outcomes. A prognostic tool with the ability to distinguish different degrees of nerve injury and to predict recovery in the acute clinical setting could thus be very useful.
QUESTIONS/PURPOSES: Using a previously validated in vivo rat model, we asked: (1) Can intraoperative electrical stimulation be used to distinguish two distinct degrees of acute stretch injury in the rat median nerve? (2) Is a response to intraoperative stimulation associated with functional recovery after stretch injury in the rat median nerve?
To answer our first research question, we included 22 male Sprague-Dawley rats, all 12 months of age, in a sham control (6 rats), an epineuroclasis (8 rats), and an endoneuroclasis (8 rats) group. Epineuroclasis and endoneuroclasis describe the first and second degree of mechanical and structural failure during stretching in the rat median nerve and serve as the first and second (more severe) stretch injury levels in this study. Under anesthesia, the median nerves of both forelimbs were surgically exposed and probed with a handheld electrical stimulator to identify the stimulation threshold required to induce digit flexion. In both injury groups, nerves were then stretched to their respective injury levels using a hook attached to a load cell that generated the load-deformation curve of the nerve in real time. Nerves were secured under two metal pins 1 cm apart and stretched at a speed of 0.2 mm per second until a first (epineuroclasis) or second (endoneuroclasis) sudden force reduction was observed on load-deformation curves. After the stretch injury, rats in both injury groups were again probed with the stimulator to identify differences in stimulation thresholds between both injury levels. To answer our second question, the grip strength of all rats was assessed using the grasping test at 1 week preoperatively, as well as at 1, 3, 6, 9, and 12 weeks postoperatively. Twelve weeks served as the final follow-up, after which the rats were euthanized. Stimulation thresholds at time 0 were compared using Wilcoxon tests (within one group) and Mann-Whitney tests (between groups). Grip strength test data were compared using a two-way mixed-effects model and Tukey multiple comparisons test. Recovery was defined as rats reaching a grip strength similar to sham control rats at 12 weeks, and lack of recovery was defined as similar grip strength at 1 and 12 weeks after injury within the same group. An association between response to stimulation and recovery was tested for using a chi-square test. From the corresponding 2 × 2 contingency table (motor response present/absent versus recovery/no recovery), an OR was calculated, as well as a positive predictive value (defined as the fraction of nerves without a response that actually did not recover).
Intraoperative electrical stimulation allowed for differentiation of both injury levels based on the nerve's overall responsiveness to stimulation. Both injury levels required similarly high stimulation thresholds to induce digit flexion after stretch injury, with a median (range) of 200 nanocoulombs (nC) (100 to 1600) after epineuroclasis and 200 nC (100 to 400) after endoneuroclasis (median difference 0 nC; p = 0.74). However, 15 of 16 nerves induced digit movement after epineuroclasis, whereas only 5 of 16 nerves in the endoneuroclasis group induced a response at any stimulation threshold (OR 33 [95% confidence interval (CI) 3.91 to 373.0]; p < 0.001). These results demonstrate that lack of responsiveness at time 0 was strongly associated with a lack of functional recovery. Both injury levels exhibited an acute loss of grip strength 1 week after injury. However, at 12 weeks, rats in the sham control and epineuroclasis groups demonstrated a similar grip strength, with a mean ± SD of 12.97 ± 2.88 N and 13.18 ± 2.59 N, respectively (mean difference -0.21 N [95% CI -3.85 to 3.43]; p = 0.99). Endoneuroclasis resulted in a sustained loss of function compared with rats in the control group, with 2.51 ± 1.06 N at 12 weeks (mean difference 10.46 N [95% CI 6.81 to 14.1]; p < 0.001). Based on a retrospective contingency table analysis, nerves that were unresponsive to stimulation had a 92% likelihood of no functional recovery (negative predictive value 0.92 [95% CI 0.64 to 1]). Conversely, nerves that responded to simulation had a 75% probability of recovery (positive predictive value 0.75 [95% CI 0.53 to 0.89]).
Two distinct degrees of acute stretch injury in the rat median nerve can be distinguished based on the ability to induce digit movement using a handheld electrical stimulator. In the rat median nerve, responsiveness to stimulation is indicative of long-term recovery after stretch injury and vice versa.
The ability to predict recovery using intraoperative nerve stimulation could allow surgeons to distinguish injuries that will likely recover naturally from those likely to benefit from immediate surgical intervention. To identify the clinical scenarios in which patients may benefit from the use of intraoperative stimulation as a prognostic tool, future prospective preclinical studies using larger animal models such as rabbits should evaluate the prognostic abilities of handheld stimulators for multiple types of nerve injury, including crush injury.
周围神经损伤通常会给患者带来疼痛和长期残疾。连续性拉伸或挤压伤后的恢复一直具有内在的不可预测性。然而,在损伤后不久进行手术干预可产生最有利的结果。我们无法准确区分哪些损伤会自然恢复,哪些需要立即进行手术干预,这使得手术决策极具挑战性,并且常常导致手术延迟,结果不尽人意。因此,一种能够在急性临床环境中区分不同程度神经损伤并预测恢复情况的预后工具可能会非常有用。
问题/目的:我们使用先前验证的体内大鼠模型,提出以下问题:(1)术中电刺激能否用于区分大鼠正中神经两种不同程度的急性拉伸损伤?(2)大鼠正中神经拉伸损伤后,对术中刺激的反应与功能恢复是否相关?
为回答我们的第一个研究问题,我们将22只12月龄的雄性Sprague-Dawley大鼠分为假手术对照组(6只大鼠)、神经外膜断裂组(8只大鼠)和神经内膜断裂组(8只大鼠)。神经外膜断裂和神经内膜断裂描述了大鼠正中神经拉伸过程中机械和结构破坏的第一和第二程度,在本研究中分别作为第一和第二(更严重)拉伸损伤水平。在麻醉下,手术暴露双前肢的正中神经,并用手持式电刺激器探测,以确定诱导手指屈曲所需的刺激阈值。在两个损伤组中,然后使用连接到测力传感器的钩子将神经拉伸到各自的损伤水平,该测力传感器实时生成神经的负荷-变形曲线。将神经固定在相距1 cm的两根金属针下,并以每秒0.2 mm的速度拉伸,直到在负荷-变形曲线上观察到第一次(神经外膜断裂)或第二次(神经内膜断裂)突然的力降低。拉伸损伤后,再次用刺激器探测两个损伤组中的大鼠,以确定两个损伤水平之间刺激阈值的差异。为回答我们的第二个问题,在术前1周以及术后1、3、6、9和12周,使用抓握试验评估所有大鼠的握力。12周作为最终随访,之后对大鼠实施安乐死。使用Wilcoxon检验(组内)和Mann-Whitney检验(组间)比较0时刻的刺激阈值。使用双向混合效应模型和Tukey多重比较检验比较握力测试数据。恢复定义为大鼠在12周时达到与假手术对照组大鼠相似的握力,未恢复定义为同一组内损伤后1周和12周握力相似。使用卡方检验测试刺激反应与恢复之间的关联。从相应的2×2列联表(存在/不存在运动反应与恢复/未恢复)中,计算比值比(OR)以及阳性预测值(定义为无反应的神经中实际未恢复的比例)。
术中电刺激能够根据神经对刺激的总体反应区分两种损伤水平。两种损伤水平在拉伸损伤后诱导手指屈曲都需要相似的高刺激阈值,神经外膜断裂后中位数(范围)为200纳库仑(nC)(100至1600),神经内膜断裂后为200 nC(100至400)(中位数差异0 nC;p = 0.74)。然而,神经外膜断裂组16条神经中有15条诱导了手指运动,而神经内膜断裂组16条神经中在任何刺激阈值下只有5条诱导了反应(OR 33 [95%置信区间(CI)3.91至373.0];p < 0.001)。这些结果表明,0时刻无反应与功能恢复不良密切相关。两种损伤水平在损伤后1周均表现出握力急性下降。然而,在12周时,假手术对照组和神经外膜断裂组的大鼠握力相似,分别为平均±标准差12.97±2.88 N和13.18±2.59 N(平均差异-0.21 N [95% CI -3.85至3.43];p = 0.99)。与对照组大鼠相比,神经内膜断裂导致功能持续丧失,12周时为2.51±1.06 N(平均差异10.46 N [95% CI 6.81至14.1];p < 0.001)。基于回顾性列联表分析,对刺激无反应的神经无功能恢复的可能性为92%(阴性预测值0.92 [95% CI 0.64至1])。相反,对刺激有反应的神经恢复的概率为75%(阳性预测值0.75 [95% CI 0.53至0.89])。
使用手持式电刺激器诱导手指运动的能力可区分大鼠正中神经两种不同程度的急性拉伸损伤。在大鼠正中神经中,对刺激的反应表明拉伸损伤后的长期恢复情况,反之亦然。
使用术中神经刺激预测恢复的能力可使外科医生区分可能自然恢复的损伤和可能从立即手术干预中受益的损伤。为确定患者可能从使用术中刺激作为预后工具中受益的临床情况,未来使用较大动物模型(如兔子)的前瞻性临床前研究应评估手持式刺激器对多种类型神经损伤(包括挤压伤)的预后能力。