Background Common peroneal nerve (CPN) injury is one of the most common nerve injuries in the lower extremities and the motor functional recovery of injured common peroneal nerve (CPN) was often unsatisfactory, the mechanism of which is still controversial. The purpose of this retrospective study was to determine the factors associated with the neural recovery of injured CPN in patients undergoing surgical exploration of CPN.
Methods This is a retrospective cohort study of all patients who underwent neural exploration for injured CPN from 2009 to 2019. A total of 387 patients with postoperative follow-up more than 12 months were included in the final analysis. We used univariate logistics regression analyses to assess which explanatory variables are associated with recovery of neurological function. We used multivariable logistic regression analysis to determine variables incorporated into clinical prediction model, developed a nomogram by the selected variables, and then assessed discrimination of the model by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve.
Results There were 67 patients divided into case group and 320 patients divided into control group. In multivariate logistic regression analysis, we found that city area (OR = 3.35), labor occupation (OR = 4.39), diabetes (OR = 11.68), cardiovascular disease (OR = 51.35), knee joint dislocation (OR = 14.91), proximal fibula fracture (OR = 3.32), tibial plateau fracture (OR = 9.21), vascular injury (OR = 5.37) and hip arthroplasty (OR = 75.96) injury increased the risk of poor motor functional recovery of injured CPN, while high preoperative muscle strength (OR = 0.18) and postoperative knee joint immobilization (OR = 0.11) decreased this risk of injured CPN. AUC of the nomogram was 0.904 and 95% CI was 0.863–0.946.
Conclusions City area, labor occupation, diabetes, cardiovascular disease, knee joint dislocation, proximal fibula fracture, tibial plateau fracture, vascular injury and hip arthroplasty injury are independent risk factors of motor functional recovery of injured CPN, while high preoperative muscle strength and postoperative knee joint immobilization are protective factor of motor functional recovery of injured CPN. The prediction nomogram can be used to predict the prognosis of injured CPN.

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On 25 Dec, 2020
On 21 Dec, 2020
Received 27 Nov, 2020
Received 22 Nov, 2020
On 10 Nov, 2020
On 09 Nov, 2020
Invitations sent on 09 Nov, 2020
On 09 Nov, 2020
On 09 Nov, 2020
On 09 Nov, 2020
Posted 13 May, 2020
On 29 Oct, 2020
Received 27 Oct, 2020
On 13 Oct, 2020
Received 18 Sep, 2020
On 31 Aug, 2020
Received 23 Jun, 2020
Invitations sent on 28 May, 2020
On 28 May, 2020
On 06 May, 2020
On 05 May, 2020
On 05 May, 2020
On 04 May, 2020
On 25 Dec, 2020
On 21 Dec, 2020
Received 27 Nov, 2020
Received 22 Nov, 2020
On 10 Nov, 2020
On 09 Nov, 2020
Invitations sent on 09 Nov, 2020
On 09 Nov, 2020
On 09 Nov, 2020
On 09 Nov, 2020
Posted 13 May, 2020
On 29 Oct, 2020
Received 27 Oct, 2020
On 13 Oct, 2020
Received 18 Sep, 2020
On 31 Aug, 2020
Received 23 Jun, 2020
Invitations sent on 28 May, 2020
On 28 May, 2020
On 06 May, 2020
On 05 May, 2020
On 05 May, 2020
On 04 May, 2020
Background Common peroneal nerve (CPN) injury is one of the most common nerve injuries in the lower extremities and the motor functional recovery of injured common peroneal nerve (CPN) was often unsatisfactory, the mechanism of which is still controversial. The purpose of this retrospective study was to determine the factors associated with the neural recovery of injured CPN in patients undergoing surgical exploration of CPN.
Methods This is a retrospective cohort study of all patients who underwent neural exploration for injured CPN from 2009 to 2019. A total of 387 patients with postoperative follow-up more than 12 months were included in the final analysis. We used univariate logistics regression analyses to assess which explanatory variables are associated with recovery of neurological function. We used multivariable logistic regression analysis to determine variables incorporated into clinical prediction model, developed a nomogram by the selected variables, and then assessed discrimination of the model by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve.
Results There were 67 patients divided into case group and 320 patients divided into control group. In multivariate logistic regression analysis, we found that city area (OR = 3.35), labor occupation (OR = 4.39), diabetes (OR = 11.68), cardiovascular disease (OR = 51.35), knee joint dislocation (OR = 14.91), proximal fibula fracture (OR = 3.32), tibial plateau fracture (OR = 9.21), vascular injury (OR = 5.37) and hip arthroplasty (OR = 75.96) injury increased the risk of poor motor functional recovery of injured CPN, while high preoperative muscle strength (OR = 0.18) and postoperative knee joint immobilization (OR = 0.11) decreased this risk of injured CPN. AUC of the nomogram was 0.904 and 95% CI was 0.863–0.946.
Conclusions City area, labor occupation, diabetes, cardiovascular disease, knee joint dislocation, proximal fibula fracture, tibial plateau fracture, vascular injury and hip arthroplasty injury are independent risk factors of motor functional recovery of injured CPN, while high preoperative muscle strength and postoperative knee joint immobilization are protective factor of motor functional recovery of injured CPN. The prediction nomogram can be used to predict the prognosis of injured CPN.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5
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