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Publicly Available Published by De Gruyter September 19, 2019

Chronic neuropathic pain after traumatic peripheral nerve injuries in the upper extremity: prevalence, demographic and surgical determinants, impact on health and on pain medication

  • Adriana Miclescu ORCID logo EMAIL logo , Antje Straatmann , Panagiota Gkatziani , Stephen Butler , Rolf Karlsten and Torsten Gordh

Abstract

Background and aims

Aside from the long term side effects of a nerve injury in the upper extremity with devastating consequences there is often the problem of chronic neuropathic pain. The studies concerning the prevalence of persistent pain of neuropathic origin after peripheral nerve injuries are sparse. The prevalence and risk factors associated with chronic neuropathic pain after nerve injuries in the upper extremity were assessed.

Methods

A standardized data collection template was employed prospectively and retrospectively for all patients with traumatic nerve injuries accepted at the Hand Surgery Department, Uppsala, Sweden between 2010 and 2018. The template included demographic data, pain diagnosis, type of injured nerve, level of injury, date of the lesion and repair, type of procedure, reoperation, time since the procedure, S-LANSS questionnaire (Self report-Leeds Assessment of Neuropathic Symptoms and Signs), RAND-36 (Item short form health survey), QuickDASH (Disability of Shoulder, Arm and Hand) and additional questionnaires concerned medication, pain intensity were sent to 1,051 patients with nerve injuries. Partial proportional odds models were used to investigate the association between persistent pain and potential predictors.

Results

More than half of the patients undergoing a surgical procedure developed persistent pain. Prevalence of neuropathic pain was 73% of the patients with pain (S-LANSS ≥ 12 or more). Multivariate analysis indicated that injury of a major nerve OR 1.6 (p = 0.013), years from surgery OR 0.91 (p = 0.01), younger age OR 0.7 (p < 0.001), were the main factors for predicting pain after surgery. The type of the nerve injured was the strongest predictor for chronic pain with major nerves associated with more pain (p = 0.019).

Conclusions

A high prevalence of chronic pain and neuropathic pain with a negative impact on quality of life and disability were found in patients after traumatic nerve injury. Major nerve injury, younger age and less time from surgery were predictors for chronic pain.

1 Introduction

Peripheral nerve injuries in the upper extremity caused by accidental trauma can have devastating consequences by compromising the patient’s quality of life due to lifelong morbidity such as chronic neuropathic pain and permanent disability [1]. These injuries also have important consequences for the social welfare system [2], [3] because nerve injuries of the upper extremities predominantly affect the young and economically active population [4]. Outcome after traumatic nerve injuries and reconstructive surgery is primarily based on motor and sensory recovery of individual nerves. It is estimated that 66% patients with traumatic nerve injuries recover to normal or average function, the other 34% exhibit incomplete motor and sensory nerve recovery and poor functional outcomes [4]. Better outcomes after peripheral nerve injuries in the upper extremities have been demonstrated after median and radial nerve surgery and worse outcomes for ulnar nerve surgery [5], [6]. Functional recovery of peripheral nerve injury is multifaceted and different other factors including age, gender, time to repair, the level of injury and concomitant injuries may affect outcome [7], [8]. Although trauma contributed to chronic pain in 18.7% of patients attending outpatients clinics [9], the studies concerning the prevalence of chronic pain and the assessment of neuropathic pain after peripheral nerve injuries are sparse [10]. Pain due to neuropathic mechanisms related to a nerve lesion may persist for months or years beyond the apparent healing of the damaged tissues and is a significant contributor to poor physical function, impaired health-related quality of life, and greater use of health care [11], [12].

The primary aim of this study was to estimate the prevalence of pain after traumatic nerve injuries in the upper extremity and to ascertain the impact of chronic neuropathic pain in this group of patients with an anatomically verified nerve lesion. The secondary aim was to establish if any risk factors could be found to identify patients who were likely to have chronic neuropathic pain after traumatic nerve injuries.

2 Methods

This study was carried out at the Multidisciplinary Pain Center, Uppsala University Hospital (UUH), Sweden. This is a tertiary pain referral center and includes 17 consulting physicians experienced in the assessment and treatment of acute and chronic pain. The study was performed in accordance with the ethical principles for medical research involving human subjects that have their origin in the updated Declaration of Helsinki and was approved by the Regional Ethics Committee (approval no: Approval for the study was granted by the Regional Ethics Board in Uppsala. Project identity: ICONSS, Dnr: 2015/265).

2.1 Patients

Subjects included all patients admitted to the Hand Surgery Clinic, UUH with a diagnosis of traumatic peripheral nerve injuries between January 1, 2010, and June 1, 2018. Eligibility criteria included age more than 18 years, ability to speak Swedish. Individuals who had surgery earlier than 6 months before June 1, 2018 were not included in study.

2.2 Study design

S-LANSS questionnaire (Self report-Leeds Assessment of Neuropathic Symptoms and Signs), RAND-36 (Item short form health survey), QuickDASH (Disability of Shoulder, Arm and Hand) and additional questionnaires concerned medication and quality of life (Appendix 1) were collected from 1,051 patients with nerve injuries. A standardized data collection template was employed for all the patients. The template included demographic data (age, gender), pain diagnosis, type and level of injured nerve, date of the lesion and surgery (nerve suture, exploration, amputation, reconstruction, suture and amputation) or conservative treatment, reoperation, time since the procedure. The types of traumatic injury included median, ulnar, radial and digital nerve injuries in the forearm and hand. Regardless of mechanism, the resulting lesions were uniformly managed with identical surgical techniques. For the more proximal nerves, nerve suture was always performed in a standard way by tensionless epineural suture [13]. Autologous nerve grafting was performed in the presence of a nerve gap where end-to-end suture was not possible. In complex wound injuries during the initial exploration and debridement, the nerve ends were tagged for later repair and definitive reconstruction was then performed after 2–3 weeks [14]. With massive tissue destruction, amputation was performed.

An 11-point numeric pain rating scale (NRS) was used. The patients were divided into those experiencing pain and those without pain.

3 Statistics

All statistical analysis was performed with IBM SPSS Statistic version 19.0.0.1 (www.spss.com). For continuous variables (age, time from operation, number of reoperations) the Mann Whitney U test was used. For categorical variables Chi-Square tests were performed and in the event of too low frequencies of patients, Fisher’s exact test was used. The level of significance was set at a p-value<0.05. Pearson’s correlation coefficient was used for investigating the relationship between QuickDASH Score, RAND-36 score and intensity of pain. Binomially distributed data were analyzed using the X2 test and presented as frequency distributions with absolute numbers and relative distributions in percent. Logistic regression analysis was applied in the study. The dependent variables, e.g. chronic pain, were regressed towards hypothetic predictors, grouped as described earlier, to conclude with a final model including the most salient predictors from each group of variables. Multivariate regression models were considered for continuous dependent variables. Partial proportional odds models were used to investigate the association between pain and potential predictors (age, sex, time from injury to operation, time from surgery until response to questionnaires, type of surgery, reoperation). A multivariable model using backward selection (p≤0.10 to stay) was estimated and odds ratios (OR) with 95% confidence intervals were calculated.

4 Results

Seven hundred and six patients admitted to the Hand Surgery, Uppsala, Sweden with a diagnosis of traumatic nerve injury in the upper extremity responded to the questionnaire (response rate of 67.1%). A small group of patients without nerve injury (n=8) were excluded from the study. A subgroup of 29 patients were conservatively treated (4.3%) (Fig. 1).

Fig. 1: 
          Flow chart of the patients included in the study.
Fig. 1:

Flow chart of the patients included in the study.

4.1 Estimated prevalence of persistent pain of neuropathic origin

Of the 669 patients who underwent surgical treatment, 337 (50.3%) subsequently experienced chronic pain and 246 of those (73%) had a S-LANSS score ≥12 indicating a neuropathic pain component.

4.2 Age and gender

The mean age of the patients was 56±2 years and a majority were men (74%). No gender differences were seen between the two groups with pain and without pain (p=0.9). A significant age difference (p<0.001) was seen between groups with younger patients in the group with persistent pain (mean age 46) in comparison with the group without pain (mean age 55).

4.3 Time from operation

The prevalence of chronic pain generally decreased with time after surgery (p<0.001). No differences were seen between the group with pain and the group without pain regarding time from injury to operation (p=0.119).

4.4 The site of injury

The patients with traumatic digital nerve injuries were predominant in the both groups (67.4% and 75%, respectively). The injuries in major nerves were associated with more pain (p=0.019) (Table 1). Complex injuries involving more than one nerve, vascular injury and fractures were found in 10.9% of cases (37/337 patients) with pain and 3.9% of cases (13/332 patients) without pain. Combined nerve injuries most commonly involved the median and ulnar nerves.

Table 1:

Comparison between patients with pain and without pain who underwent an operation.

Patients with peripheral nerve injuries who underwent a surgical procedure
Pain No pain p-Value
n n=337 n=332 .
Age 46.0 (29.0) 56.0 (27.0) <0.001
Male 248 (73.6) 246 (76.1) 0.930
Diagnosis 0.019
 Digital nerves 227 (67.4) 249 (75.0) .
 Major nerves 108 (32.0) 78 (23.5) .
 (M=median, U=ulnar, R=radial) (M 16%, R 14%, U 2%) (M 10%, R 8%, U 7%)
 Complex injuries 37 (10.9) 13 (3.9)
 Missing 2 (0.6) 5 (1.5) .
Days from operation 1641.5 (1998.5) 2215.0 (1750.5) <0.001
Time till repair/delay (days) 1.0 (3.0) 1.0 (2.0) 0.119
Type of surgery 0.830
Nerve suture n=271 (80.4) n=260 (78.3)
 Exploration n=37 (10.9) n=41 (12.3)
 Reconstruction n=4 (1.1) n=10 (3)
 Amputation n=10 (3.3) n=10 (3.3)
Suture and amputation n=15 (4.4) n=11 (3.3)
Number reoperation 0.160
 0 292 (86.6) 298 (89.8) .
 1 27 (8.0) 21 (6.3) .
 2 12 (3.6) 9 (2.7) .
 3 6 (1.8) 4 (1.2) .
QuickDASH Score 33.46±2.6 7.53±2.6 <0.0001
RAND 36 67.46±2.4 80.63±2.1 <0.0001
 Physical functioning 77.69±2.3 89.41±2.1
 Role functioning/physical 54.86±4.4 83.73±3.6
 Pain 52.43±2.6 83.62±2.8
 General health 67.50±2.8 74.13±2.4
 Vitality (energy, fatigue) 61.39±2.7 64.52±2.5
 Social function 79.49±3.0 87.16±2.6
 Emotional function 68.97±4.4 83.08±3.9
 Mental health 77.33±2.4 79.43±2.2
Pain affecting daily life <0.001
 Yes 151 (44.8) 10 (3.0) .
 No 181 (53.7) 310 (93.4) .
 Missing 5 (1.5) 12 (3.6) .
Pats with pain medication <0.001
 Yes 35 (10.4) 1 (0.3) .
 No 297 (88.1) 319 (96.1) .
 Missing 5 (1.5) 12 (3.6) .
Pain medication’s effect on pain <0.001
 Yes 45 (13.4) 0 (0.0) .
 No 0 (0.0) 0 (0.0) .
 Missing 0 (0.0) 0 (0.0) .
  1. The total number of patients operated, (n=669), n (%) or median (IQR) and the group of pain patients and the group of patients without pain were described, mean±SE for QuickDASH and RAND 36. Bold text indicate a statistically significant difference with p<0.05.

4.5 Surgical procedure (Table 2)

Table 2:

The differences between patients with pain and without pain according to the type of surgical procedure n (%) or median (IQR).

Nerve suture
Exploration
Reconstruction
Amputation
Suture and amputation
Pain No pain p-Value Pain No pain p-Value Pain No pain p-Value Pain No pain p-Value Pain No pain p-Value
n n=271 n=260 . n=37 n=41 . n=4 n=10 . n=10 n=10 . n=15 n=11 .
Age 44.0 (26.0) 51.0 (29.0) <0.001 56.0 (41.0) 57.0 (22.0) 0.674 39.5 (13.5) 61.0 (14.0) 0.019 70.0 (23.0) 70.5 (12.0) 0.623 55.0 (21.0) 71.0 (10.0) 0.004
Male 199 (73.4) 194 (74.6) 0.767 25 (67.6) 25 (61.0) 0.639 3 (75.0) 7 (70.0) 1.000 7 (70.0) 10 (100) 0.211 14 (93.3) 10 (90.9) 1.000
Diagnosis 0.062 0.003 0.520 1.000 1.000
 Digital nerves 187 (69.0) 196 (75.4) . 20 (54.1) 35 (85.4) 2 (50.0) 2 (20.0) . 7 (70.0) 8 (80.0) . 11 (73.3) 8 (72.7) .
 Major nerves 82 (30.3) 59 (22.7) . 17 (45.9) 6 (14.6) 2 (50.0) 8 (80.0) . 3 (30.0) 2 (20.0) . 4 (26.7) 3 (27.3) .
 Missing 2 (0.7) 5 (1.9) . 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) . 0 (0.0) 0 (0.0) . 0 (0.0) 0 (0.0) .
Days from operation 1633.0 (2051.0) 2208.0 (1767.0) <0.001 1598.5 (1885.5) 2107.0 (1939.5) 0.102 1515.5 (1295.0) 2484.0 (769.0) 0.190 2325.0 (1958.0) 2409.0 (1398.0) 0.775 2003.0 (2404.0) 1732.0 (2178.0) 0.959
Time from injury to operation 1.0 (2.0) 1.0 (2.0) 0.095 4.0 (47) 1.0 (2) 0.073 20.5 (399) 15.0 (177.0) 0.943 1.0 (0.0) 1.0 (0.0) 1.000 1.0 (0.0) 1.0 (0.0) 0.276
Number Reoperation 0.670 0.718 1.000 0.474 0.716
 0 243 (89.7) 239 (91.9) . 30 (81.1) 36 (87.8) 3 (75.0) 7 (70.0) . 7 (70.0) 8 (80.0) . 9 (60.0) 8 (72.7) .
 1 19 (7.0) 16 (6.2) . 4 (10.8) 3 (7.3) 0 (0.0) 1 (10.0) . 2 (20.0) 0 (0.0) . 2 (13.3) 1 (9.1) .
 2 7 (2.6) 4 (1.5) . 3 (8.1) 2 (4.9) 0 (0.0) 0 (0.0) . 0 (0.0) 1 (10.0) . 2 (13.3) 2 (18.2) .
 3 2 (0.7) 1 (0.4) . 0 (0.0) 0 (0.0) 1 (25.0) 2 (20.0) . 1 (10.0) 1 (10.0) . 2 (13.3) 0 (0.0) .
  1. Bold text indicate a statistically significant difference with p<0.05.

The patients with pain and without pain were compared according to different surgical approaches (Table 2). Nerve suture (neurorrhaphy) was the most common procedure (79.3%). In the group with pain, median nerve neurorrhaphy was performed in 50% (n=39) of the patients, radial nerve neurorrhaphy in 18% (n=15) and ulnar nerve neurorrhaphy in 31% (n=24). In the group without pain, nerve suture of the median nerve was performed in 39% (n=42) of the patients, radial nerve suture in 28% (n=30) and ulnar nerve suture in 31% (n=36). Combined injuries which required neurorrhaphy of more than one nerve were 8% in the group with pain (median and ulnar in most of the cases) and 2% in the patients without pain. We found that the amputated patients with pain and without pain were older (mean=70 years) than in the other procedures (p<0.01). Risk of chronic pain was related to the type of injured nerves. Complex injuries affecting the major nerves (radial, ulnar, median nerves) were associated with higher risk of chronic pain (n<0.003).

4.6 Patients on pain medication and the medications effects on pain (Table 1)

The patients who had tried pharmacological treatment responded poorly to medication. Of the patients with pain resulting from traumatic or surgical nerve injury, 88.1% had no pain medication despite the presence of pain greater than NRS 6 in more than 40% of the patients.

4.7 Pain affecting daily life (Table 1)

Pain affected daily life in 44% of the patients with pain who underwent surgery. The majority of the operated patients were pain free before surgery (80%) and developed pain after surgery (84%). RAND-36, a generic instrument measuring health related quality of life was used to measure health status between patients with pain and without pain (p<0.0001). The negative correlation of RAND-36 scores with pain intensity (Pearson r −0.330) indicates that patients with a better wellbeing tended to have lower intensity of pain (p=0.0046) (Fig. 2).

Fig. 2: 
            RAND-36 scores were negative correlated with intensity of pain (p=0.0046) (Pearson r −0.330).
Fig. 2:

RAND-36 scores were negative correlated with intensity of pain (p=0.0046) (Pearson r −0.330).

4.8 QuickDASH (Quick Disability of the Arm, Shoulder, and Hand Questionnaire) scores

The average QuickDASH survey scores were 33.46 for patients with pain and 7.5 for patients without pain (p<0.0001). QuickDASH score were positively (Pearson r=0.7) correlated with the intensity of pain (p=0.483) (Fig. 3) or more disability was associated with higher intensity of pain.

Fig. 3: 
            QuickDASH score were positively correlated with the intensity of pain (p=0.483).
Fig. 3:

QuickDASH score were positively correlated with the intensity of pain (p=0.483).

4.9 Pain intensity

Pain intensities in the group with surgical procedures as assessed by the numerical rating scale were NRS worst 5.1±2.4 and NRS best 2.1±2. Forty percent of the patients with pain (141/342) reported severe pain intensity (NRS>6).

4.10 Odds ratio (OR) for chronic pain (Fig. 4)

Fig. 4: 
            Forest plot for the association between persistent pain after surgery and no pain. Odds ratio (OR) and 95% Confidence interval (95% CI))]. The association of age, gender, years from the operation, type of injured nerves (digital or major nerves of the upper extremity), time from injury to operation, number of reoperations, type of surgery studied with ordinal logistic regression analyses are represented.
Fig. 4:

Forest plot for the association between persistent pain after surgery and no pain. Odds ratio (OR) and 95% Confidence interval (95% CI))]. The association of age, gender, years from the operation, type of injured nerves (digital or major nerves of the upper extremity), time from injury to operation, number of reoperations, type of surgery studied with ordinal logistic regression analyses are represented.

Partial proportional odds models were used to investigate the predictors for chronic pain for the patients who were operated. Among the factors investigated, the strongest predictors for chronic pain development were age OR 0.78 (CI 0.71–0.86) (p<0.001), combined injuries involving radial, ulnar, median nerves OR 1.68 (CI 1.18–2.38) (p<0.004) and surgery [nerve suture OR 6.17 (CI 2.08–18.25) (p=0.001), surgical exploration OR 6.09 (CI 1.90–19.53) (p<0.002), amputation OR 9.60 (CI 2.34–39.34) (p<0.002), amputation and nerve suture OR 10.88 (CI 2.84–41.67) (p<0.001)]. Multivariate analysis indicated that injury of a major nerve OR 1.6 (CI 1.10–2.31) (p=0.013), time after surgery OR 0.91(CI 0.86–0.96) (p=0.01), younger age OR 0.7 (CI 0.72–0.88) (p<0.001), were the main factors for predicting pain after surgery. Other independent predictors for pain were gender, surgical technique, time from injury to operation, reoperation. The type of the nerve injured was the strongest predictor for chronic pain.

5 Discussion

The outcome after traumatic peripheral nerve injuries was often assessed by motor and sensory recovery, with few references to pain [10]. The results of this study demonstrated that chronic pain after traumatic nerve injury in the upper extremity occurred in 50% of the patients and affected the daily life of 44% of the patients with pain and 3% of the patients without pain. Chronic pain was strongly predicted by younger age, type of injured nerve and time from injury. Pain patients reported disability and with negative impact on their health.

5.1 The prevalence of chronic neuropathic pain after traumatic nerve injuries in the upper extremities

According to the grading system for neuropathic pain, possible neuropathic pain can be assessed with a specific questionnaire screening tool [15]. Higher diagnostic accuracy is achieved with the LANSS (The Leeds Assessment of Neuropathic Symptoms and Signs) scale and the DN4 (Douleur Neuropathique en 4 Questions) questionnaires given that their scores also reflect physical tests [16], [17]. The S-LANSS is a modified version of LANSS for self-administrated pain questionnaires [18] and is more suitable for large-scale research [19]. The role of this questionnaire remains only as an indicative tool [20] because despite an anatomically verified nerve lesion, the results of this study indicate that not all of the patients developed neuropathic pain after a nerve injury as detected with S-LANSS. Persistent pain after traumatic nerve injuries could be predominantly due to neuropathic mechanisms related to a nerve lesion or could be a result of underlying musculoskeletal nociceptive mechanisms or both. The complex injuries in 10.9% of the patients were possibly due to both pain originating from nerve injuries and from musculoskeletal origins. A previous study [21] with neuropathic pain originating from neck and upper limb demonstrated the limited ability of LANSS to identify patients with clinically defined NP (LANSS sensitivity was substantially lower than other accuracy measures 22%, specificity 88%). A diagnosis of definite neuropathic pain is based not only on clinical examination including accurate sensory examination, but also on neurophysiological methods [15]. Chronic neuropathic pain has been associated with a poor outcome in patients after nerve injury in the upper extremity [22]. This study confirms that nerve injury alone is not always responsible for the progression of acute to chronic pain in the absence of other predictors such as psychosocial risk factors and genetic predisposition [23], [24].

5.2 Time frame

The time from injury and operation was a significant predictor against persistent pain (p<0.001). This is consistent with other findings where chronic pain was reduced over time [25], [26]. Phillips et al., found that the prevalence of neuropathic pain decreased from its highest (27%) at 6-weeks postoperatively to 7% after 3 years’ post-surgery [27].

5.3 Age and gender, pain affecting daily activities, disability and health

In previous studies, the following factors for recovery after nerve repair and reconstruction in the upper extremity were mentioned: age, delay before repair or reconstruction, the level of injury as well as type of the injury [3], [28]. We found that younger age was a predictor for an increased prevalence of chronic pain. These findings contradict the previous studies which reported that neuropathic pain increases with the age at which nerve damage occurs [29]. In these studies, younger patients supposedly have stronger regenerative capacity and achieve better sensory recovery than older patients and are less likely to develop long-term chronic neuropathic pain syndromes following nerve injury [30] probaly because neuropathic pain depends on the maturity of the nervous system [31], [32]. It is known that nerve regeneration is poorest in patients over 50 years of age [33]. However, our study demonstrates that patients under 50 years are at higher risk of developing chronic pain. It was demonstrated previously that nerve injuries in the upper extremity were more frequent in young males [4] in whom the quality of life was impaired probably as a consequence of work loss [34]. Regarding our secondary study questions, both disability and health indicators correlated with intensity of pain.

5.4 Surgical timing/delay

It has been proposed that early repair is preferable since a number of neurobiological factors influencing healing diminish over time [23]. Therefore, earlier repair is associated with better outcome [8]. Timing of nerve repair is thought to be essential in order to improve functional outcome and to reduce health economic costs [35], [36]. However, Wang et al. demonstrated that an average of 3.5 days vs. 24 h delay in surgical repair of a transected nerve did not affect outcome as expressed in motor and sensory recovery [37]. Accordingly, surgical timing/delay and reoperation were not among the risk factors for chronic pain in this study.

5.5 Type of injured nerve

Nerve injuries most commonly affected the most distal nerves in the upper extremity such as digital nerves, followed by median, ulnar and radial nerves in the forearm. Excluding digital nerves, we found that the median nerve was more commonly injured. Other authors have found the same sites of injury [38] and others found that after digital nerves, ulnar nerve injury was more prominent [37]. A majority of patients with peripheral nerve injuries had surgical repair (95.4%). This observation has been seen previously [37], with 83% having surgical repair. The type of nerve injured was considered to be significant for outcome [39]. Poor outcome was seen after repair of a nerve at a proximal location while distal injuries such as digital nerve injury resulted in sensory loss in the fingertips but regenerated well and had better outcome [40]. The size of the injured nerves and chronic pain were subject to previous studies [8] which demonstrated that small nerves might be associated with a lower prevalence of persistent pain [41] in comparison with sectioning of a large nerve such as sciatic nerve or multiple intercostal nerves [42], [43]. In this study, a significant statistical difference (p<0.001) was seen between digital nerve injuries (47% chronic pain) and the patients with injuries of the major nerves (58% chronic pain). There are few controlled studies which compare the outcomes with different surgical techniques [44] but in the present study we did not identify statistically significant associations between the surgical technique and chronic pain.

5.6 Pain medication

Despite the wide use of medication for pain in patients with chronic pain generally and a dramatic escalation in the use of prescription opioids for the treatment of chronic non-cancer pain, [45] in this study only a few patients were prescribed pain medication (10.4%) and responded poorly to medication. In an observational study which included patients with traumatic neuropathic pain the authors concluded that we still do not have very successful medications for the treatment of neuropathic pain [46].

6 Strengths and weaknesses

One of the limitations of this study is that the research regarding surgical determinants was conducted retrospectively. The strength of the study is the sample size of the patients who all had a traumatic origin of neuropathic pain. The study also summarizes the current disabilities and pain of the patients. Given the tremendous variability in the quality and quantity of studies on this topic, quick and easy conclusions cannot easily be made. The purpose of this study was to report chronic neuropathic pain and not to report the outcomes related to sensory and motor recovery which is the aim of a future study. Despite these limitations, useful conclusions can be drawn from the present study.

7 Conclusion

The prevalence of persistent neuropathic pain as assessed with S-LANSS in patients with a verified peripheral anatomical nerve injury is 73% of the patients with pain and is influenced by younger age, the type of nerve injured, and time from injury. Long time after nerve injury the patients with chronic pain have a decrease of health related quality of life and disability.


Corresponding author: Dr. Adriana Miclescu, PhD, MD, DEAA, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden, E-mail: .

Acknowledgements

The authors thank Monica Bremer, Marie Essemark, Mathias Astermark, Jenny Nilsson, Torbjörn Vedung, Johanna Walan, Mona Lisa Wernoth, Felix Wittström, Alexander Öhlund for their kind assistance and advice.

  1. Authors’ statements

  2. Research funding: This study was supported by the Swedish Medical Society.

  3. Conflict of interest: The authors have no conflict of interest related with this work.

  4. Informed Consent: The patients were informed about the study.

  5. Ethical Approval: The study was performed in accordance with the ethical principles for medical research involving human subjects that have their origin in the updated Declaration of Helsinki and was approved by the Regional Ethics Committee (approval no: Approval for the study was granted by the Regional Ethics Board in Uppsala. Project identity: ICONSS, Dnr: 2015/265).

Appendix 1

A. PAIN QUESTIONNAIRE

Name. …………………………………………………………………………………………………………Date. ……………

This pain scale can help to determine whether the nerves that are carrying your pain signals are working normally or not. It is important to find this out in case different treatments are needed to control your pain.

■ Think about how your pain has felt before and after the operation. Only circle the responses that describe your pain

  1. Did you feel pain before the operation at the site of injury or at the operative site? (No) (Yes)

  2. Does your pain have an impact on your daily life? (No) (Yes)

  3. Are you on any pain medicine now? (No) (Yes)

  4. Do the medicines have an effect on pain? (No) (Yes)

On the scale below please indicate the worst pain you experienced in the last week were “0” means no pain and “10” means pain as severe as it could be

None 0 1 2 3 4 5 6 7 8 9 10 Severe

On the scale below please indicate the best pain you experienced in the last week were “0” means no pain and “10” means pain as severe as it could be
None 0 1 2 3 4 5 6 7 8 9 10 Severe

The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) Pain Scale

■ Think about how your pain has felt over the last week.

■ Please say whether any of the descriptions match your pain exactly.

  1. Does your pain feel like strange, unpleasant sensations in your skin? Words like pricking, tingling, pins and needles might describe these sensations.

    1. NO – My pain doesn’t really feel like this. …………………………………………………………………………(0)

    2. YES – I get these sensations quite a lot. ……………………………………………………………………………(5)

  2. Does your pain make the skin in the painful area look different from normal? Words like mottled or looking more red or pink might describe the appearance.

    1. NO – My pain doesn’t affect the colour of my skin. …………………………………………………………………(0)

    2. YES – I’ve noticed that the pain does make my skin look different from normal. ……………………………………(5)

  3. Does your pain make the affected skin abnormally sensitive to touch? Getting unpleasant sensations when lightly stroking the skin, or getting pain when wearing tight clothes might describe the abnormal sensitivity.

    1. NO – My pain doesn’t make my skin abnormally sensitive in that area. ……………………………………………(0)

    2. YES – My skin seems abnormally sensitive to touch in that area. …………………………………………………(3)

  4. Does your pain come on suddenly and in bursts for no apparent reason when you’re still? Words like electric shocks, jumping and bursting describe these sensations.

    1. NO – My pain doesn’t really feel like this. …………………………………………………………………………(0)

    2. YES – I get these sensations quite a lot. ……………………………………………………………………………(2)

  5. Does your pain feel as if the skin temperature in the painful area has changed abnormally? Words like hot and burning describe these sensations.

    1. NO – I don’t really get these sensations. ……………………………………………………………………………(0)

    2. YES – I get these sensations quite a lot. ……………………………………………………………………………(1)

  6. Gently rub the painful area with your index finger and then rub a non-painful area (for example, an area of skin further away or on the opposite side from the painful area). How does this rubbing feel in the painful area?

    1. The painful area feels no different from the non-painful area………………………………………………………(0)

    2. I feel discomfort, like pins and needles, tingling or burning in the painful area that is different from the non-painful area……………………………………………………………………………………………………………………(5)

  7. Gently press on the painful area with your finger tip and then gently press in the same way onto a non-painful area (the same non-painful area that you chose in the last question). How does this feel in the painful area?

    1. The painful area does not feel different from the non-painful area…………………………………………………(0)

    2. I feel numbness or tenderness in the painful area that is different from the non-painful area………………………(3)

SCORING: Add values in parentheses for sensory description and examination findings to obtain overall score.

TOTAL SCORE (maximum 24)

If score<12, neuropathic mechanisms are unlikely to be contributing to the patient’s pain. If score ≥12, neuropathic mechanisms are likely to be contributing to the patient’s pain.

RAND 36-Item Health Survey 1.0 Questionnaire Items

Choose one option for each questionnaire item.

1. In general, would you say your health is: 1. Excellent 2. Very good 3. Good 4. Fair 5. Poor

2. Compared to 1 year ago, how would you rate your health in general now?

  1. [numeric]Much better now than 1 year ago

  2. Somewhat better now than 1 year ago

  3. About the same

  4. Somewhat worse now than 1 year ago

  5. Much worse now than 1 year ago

The following items are about activities you might do during a typical day. Does your health now limit you in these activities? If so, how much?

3. Vigorous activities, such as running, lifting heavy objects, participating in strenuous sports

  1. Yes, limited a lot 2. Yes, limited a little, 3. No, not limited at all

4. Moderate activities such as moving a table,1, 2, 3

  • pushing a vacuum cleaner, bowling, or playing golf

5. Lifting or carrying groceries1, 2, 3

6. Climbing several flights of stairs1, 2, 3

7. Climbing one flight of stairs1, 2, 3

8. Bending, kneeling, or stooping1, 2, 3

9. Walking more than a mile1, 2, 3

10. Walking several blocks1, 2, 3

11. Walking several blocks1, 2, 3

12. Bathing or dressing yourself1, 2, 3

During the past 4 weeks, have you had any of the following problems with your work or other regular daily activities as a result of your physical health?

13. Cut down the amount of time you spent on work or other activities

14. Accomplished less than you would like

15. Were limited in the kind of work or other activities

16. Had difficulty performing the work or other activities

During the past 4 weeks, have you had any of the following problems with your work or other regular daily activities as a result of any emotional problems (such as feeling depressed or anxious)? (Yes 1, No 2)

17. Cut down the amount of time you spent on work or other activities

18. Accomplished less than you would like

19. Didn’t do work or other activities as carefully as usual

20. During the past 4 weeks, to what extent has your physical health or emotional problems interfered with your normal social activities with family, friends, neighbors, or groups?

  • 1. Not at all 2. Slightly 3. Moderately 4. Quite a bit 5. Extremely

21. How much bodily pain have you had during the past 4 weeks?

  • 1. None, 2. Very mild, 3. Mild, 4. Moderate, 5. Severe, 6. Very severe

22. During the past 4 weeks, how much did pain interfere with your normal work (including both work outside the home and housework)?

  • 1. Not at all, 2. A little bit, 3. Moderately, 4. Quite a bit, 5. Extremely

23. These questions are about how you feel and how things have been with you during the past 4 weeks. For each question, please give the one answer that comes closest to the way you have been feeling.

How much of the time during the past 4 weeks

1. All of the time 2. Most of the time 3. A good bit of time 4. A little time 5. None

23. Did you feel full of pep?

24. Have you been a very nervous person?

25. Have you felt so down in the dumps that nothing could cheer you up?

26. Have you felt calm and peaceful?

27. Did you have a lot of energy?

28. Have you felt downhearted and blue?

29. Did you feel worn out?

30. Have you been a happy person?

31. Did you feel tired?

32. During the past 4 weeks, how much of the time has your physical health or emotional problems

interfered with your social activities (like visiting with friends, relatives, etc.)?

  • 1. All of the time 2. Most of the time 3. A good bit of time 4. A little time 5. None

How TRUE or FALSE is each of the following statements for you.

  1. Definitely true 2. Mostly true 3. Don`t know 4. Mostly false 5. Definitely false

33. I seem to get sick a little easier than other people

34. I am as healthy as anybody I know

35. I expect my health to get worse

36. My health is excellent

RAND-36, a generic instrument measuring health related quality of life comprises 8 subscales: physical functioning, role limitations because of physical health, role limitations because of emotional health, mental health, social functioning, bodily pain, vitality and general health. All subscales range from 0 to 100, with a higher value indicating a better perceived health.

The Disabilities of Arm, Shoulder and Hand Score-QuickDASH

Please rate your ability to do the following activities in the last week by circling the number below the appropriate response.

1. NO DIFFICULTY

2. MILD DIFFICULTY

3. MODERATE DIFFICULTY

4. SEVERE DIFFICULTY

5. UNABLE

  1. Open a tight or new jar

  2. Do heavy household jobs (e.g. wash windows, clean floors)

  3. Cary a shopping bag or briefcase

  4. Wash your back

  5. Use a knife to cut food

6. Recreational activities which require you to take some force or impact through your arm, shoulder or hand (e.g. golf, hammering, tennis etc)

  1. NOT AT ALL 2. SLIGHTLY 3. MODERATELY 4. QUITE A BIT 5. EXTREMELY

7. During the past week, to what extent has your arm, shoulder or hand problem interfered with your normal social activities with family. friends, neighbours or groups? (circle number)

  1. NOT LIMITED AT ALL 2. SLIGHTLY LIMITED 3. MODERATELY LIMITED 4. VERY LIMITED 5. UNABLE

8. During the past week, were you limited in your work or other regular daily activities as a result of your arm, shoulder or hand problem? (circle number)

Please rate the severity of the following symptoms in the last week (circle number)

  1. NONE 2. MILD 3. MODERATE 4. SEVERE 5. EXTREME

9. Arm, shoulder or hand pain

10. Tingling (pins and needles) in your arm, shoulder or hand

11. During the past week, how much difficulty have you had sleeping because of the pain in your arm, shoulder or hand? (circle number)

  1. NO DIFFICULTY 2. MILD DIFFICULTY 3. MODERATE DIFFICULTY 4. SEVERE DIFFICULTY 5. SO MUCH DIFFICULTY THAT I CAN’T SLEEP

QuickDASH DISABILITY/SYMPTOM SCORE=[(sum of n responses)–1]×25 (where n is the number of completed responses)

A QuickDASH score may not be calculated if there is greater than 1 missing item.

References

[1] Dahlin LB, Wiberg M. Nerve injuries of the upper extremity and hand. EFORT Open Rev 2017;2:158–70.10.1302/2058-5241.2.160071Search in Google Scholar PubMed PubMed Central

[2] Taylor CA, Braza D, Rice JB, Dillingham T. The incidence of peripheral nerve injury in extremity trauma. Am J Phys Med Rehabil 2008;87:381–5.10.1097/PHM.0b013e31815e6370Search in Google Scholar PubMed

[3] Huckhagel T, Nüchtern J, Regelsberger J, Lefering R, TraumaRegister DGU. Nerve injury in severe trauma with upper extremity involvement: evaluation of 49,382 patients from the TraumaRegister DGU® between 2002 and 2015. Scand J Trauma Resusc Emerg Med 2018;26:76.10.1186/s13049-018-0546-6Search in Google Scholar PubMed PubMed Central

[4] Noble J, Munro CA, Prasad VS, Midha R. Analysis of upper and lower extremity peripheral nerve injuries in a population of patients with multiple injuries. J Trauma 1998;45: 116–22.10.1097/00005373-199807000-00025Search in Google Scholar PubMed

[5] Murovic JA. Upper-extremity peripheral nerve injuries: a Louisiana State University Health Sciences Center literature review with comparison of the operative outcomes of 1837 Louisiana State Health Sciences Center median, radial and ulnar nerve lesions. Neurosurgery 2009;65:11–7.10.1227/01.NEU.0000339130.90379.89Search in Google Scholar PubMed

[6] Woo A, Bakri K, Moran S. Management of peripheral nerve. J Hand Surg Am 2015;40:173–81.10.1016/j.jhsa.2014.04.038Search in Google Scholar PubMed

[7] Galanakos SP, Zoubos AB, Ignatiadis I, Papakostas I, Gerostathopoulos NE, Soucacos PN. Repair of complete nerve lacerations at the forearm: an outcome study using Rosén-Lundborg protocol. Microsurgery 2011;31:253–62.10.1002/micr.20845Search in Google Scholar PubMed

[8] He B, Zhu Z, Zhu Q, Zhou X, Zheng C, Li P, Zhu S, Liu X, Zhu J. Factors predicting sensory and motor recovery after the repair of upper limb peripheral nerve injuries. Neural Regen Res 2014;9:661–72.10.4103/1673-5374.130094Search in Google Scholar PubMed PubMed Central

[9] Crombie IK, Davies HT, Macrae WA. Cut and thrust: antecedent surgery and trauma among patients attending a chronic pain clinic. Pain 1998;76:167–71.10.1016/S0304-3959(98)00038-4Search in Google Scholar

[10] Novak CB, Katz J. Neuropathic pain in patients with upper-extremity nerve injury. Physiother Can 2010;62:190–201.10.3138/physio.62.3.190Search in Google Scholar PubMed PubMed Central

[11] Pérez C, Navarro A, Saldaña MT, Wilson K, Rejas J. Modeling the predictive value of pain intensity on costs and resources utilization in patients with peripheral neuropathic pain. Clin J Pain 2015;31:273–9.10.1097/AJP.0000000000000110Search in Google Scholar PubMed

[12] O’Connor AB. Neuropathic pain: quality-of-life impact, costs and cost effectiveness of therapy. Pharmacoeconomics 2009;27:95–112.10.2165/00019053-200927020-00002Search in Google Scholar PubMed

[13] Dahlin LB. Techniques of peripheral nerve repair. Scand J Surgery 2008;97:310–6.10.1177/145749690809700407Search in Google Scholar PubMed

[14] Moore A, Wagner IJ, Fox I. Principles of nerve repair in complex wounds of the upper extremity. Semin Plast Surg 2015;29:40–7.10.1055/s-0035-1544169Search in Google Scholar PubMed PubMed Central

[15] Finnerup NB, Haroutounian S, Kamerman P, Baron R, Bennet DL, Bouhassira D, Cruccu G, Freeman R, Hansson P, Nurmikko T, Raja SN, Rice AS, Serra J, Smith BH, Treede RD, Jensen TS. Neuropathic pain: an updated grading system for research and clinical practice. Pain 2016;157:1599–606.10.1097/j.pain.0000000000000492Search in Google Scholar PubMed PubMed Central

[16] Beloeil H, Sion B, Rousseau C, Albaladejo P, Raux M, Aubrun F, Martinez V. SFAR research network. Early postoperative neuropathic pain assessed by the DN4 score predicts an increased risk of persistent postsurgical neuropathic pain. Eur J Anaesthesiol 2017;34:652–7.10.1097/EJA.0000000000000634Search in Google Scholar PubMed

[17] Guastella V, Mick G, Soriano C, Vallet L, Escande G, Dubray C, Eschalier A. A prospective study of neuropathic pain induced by thoracotomy: incidence, clinical description, and diagnosis. Pain 2011;152:74–81.10.1016/j.pain.2010.09.004Search in Google Scholar PubMed

[18] Bennett MI, Attal N, Backonja MM, Baron R, Bouhassira D, Freynhagen R, Scholz J, Tolle TR, Wittchen HU, Jensen TS. Using screening tools to identify neuropathic pain. Pain 2007;127:199–203.10.1016/j.pain.2006.10.034Search in Google Scholar PubMed

[19] Bennett MI, Smith BH, Torrance N, Potter J. The S-LANSS score for identifying pain of predominantly neuropathic origin: validation for use in clinical and postal research. J Pain 2005;6:149–58.10.1016/j.jpain.2004.11.007Search in Google Scholar PubMed

[20] Mathieson S, Maher CG, Terwee CB, Folly de Campos T, Lin CW. Neuropathic pain screening questionnaires have limited measurement properties. A systematic review. J Clin Epidemiol 2015;68:957–66.10.1016/j.jclinepi.2015.03.010Search in Google Scholar PubMed

[21] Tampin B, Briffa NK, Goucke R, Slater H. Identification of neuropathic pain in patients with neck/upper limb pain: application of a grading system and screening tools. Pain 2013;154:2813–22.10.1016/j.pain.2013.08.018Search in Google Scholar PubMed

[22] Novak CB, Anastakis DJ, Beaton DE, Katz J. Patient-reported outcome after peripheral nerve injury. J Hand Surg Am 2009;34:281–7.10.1016/j.jhsa.2008.11.017Search in Google Scholar PubMed

[23] Fitzgerald M, McKelvey R. Nerve injury and neuropathic pain – a question of age. Exper Neurology 2016;275:296–302.10.1016/j.expneurol.2015.07.013Search in Google Scholar PubMed PubMed Central

[24] Pogatzki-Zahn E, Segelcke D, Schug S. Postoperative pain – from mechanisms to treatment. Pain 2017;2:e588.10.1097/PR9.0000000000000588Search in Google Scholar PubMed PubMed Central

[25] Wylde V, Hewlett S, Learmonth ID, Dieppe P. Persistent pain after joint replacement: prevalence, sensory qualities, and postoperative determinants. Pain 2011;152:566–72.10.1016/j.pain.2010.11.023Search in Google Scholar PubMed

[26] Drosos G, Triantafilidou T, Ververidis A, Agelopoulou C, Vogiatzaki T, Kazako K. Persistent post-surgical pain and neuropathic pain after total knee replacement. World J Orthop 2015;18: 528–36.10.5312/wjo.v6.i7.528Search in Google Scholar PubMed PubMed Central

[27] Phillips JR, Hopwood B, Arthur C, Stroud R, Toms AD. The natural history of pain and neuropathic pain after knee replacement: a prospective cohort study of the point prevalence of pain and neuropathic pain to a minimum three-year follow-up. Bone Joint J 2014;96:1227–33.10.1302/0301-620X.96B9.33756Search in Google Scholar PubMed

[28] Ruijs AC, Jaquet JB, Kalmijn S, Giele H, Hovius SE. Median and ulnar nerve injuries: a meta-analysis of predictors of motor and sensory recovery after modern microsurgical nerve repair. Plast Reconstr Surg 2005;116:484–94.10.1097/01.prs.0000172896.86594.07Search in Google Scholar PubMed

[29] Atherton D, Taherzadeh O, Elliot D, Anand P. Age-dependent development of chronic neuropathic pain, allodynia and sensory recovery after upper limb nerve injury in children. J Hand Surg Eur Vol 2008;2:186–91.10.1177/1753193408087029Search in Google Scholar PubMed

[30] Chemnitz A, Björkman A, Dahlin LB, Rosén B. Functional outcome thirty years after median and ulnar nerve repair in childhood and adolescence. J Bone Joint Surg Am 2013;95:329–37.10.2106/JBJS.L.00074Search in Google Scholar PubMed

[31] Moss A, Beggs S, Vega-Avelaira D, Costigan M, Hathway GJ, Salter MW, Fitzgerald M. Spinal microglia and neuropathic pain in young rats. Pain 2007;128:215–24.10.1016/j.pain.2006.09.018Search in Google Scholar PubMed

[32] Costigan M, Scholz J, Woolf CJ. Neuropathic Pain. A maladaptive response of the nervous system to damage. Annu Rev Neurosci 2009;32:1–32.10.1146/annurev.neuro.051508.135531Search in Google Scholar PubMed PubMed Central

[33] Lohmeyer JA, Sommer B, Siemers F, Mailänder P. Nerve injuries of the upper extremity-expected outcome and clinical examination. Plast Surg Nurs 2009;29:88–93.10.1097/01.PSN.0000356867.18220.73Search in Google Scholar PubMed

[34] Jaquet JB, Luijsterburg AJ, Kalmijn S, Kuypers PD, Hofman A, Hovius SE. Median, ulnar, and combined median-ulnar nerve injuries: functional outcome and return to productivity. J Trauma 2001;51:687–92.10.1097/00005373-200110000-00011Search in Google Scholar PubMed

[35] Rosberg HE, Carlsson KS, Höjgård S, Lindgren B, Lundborg G, Dahlin LB. Injury to the human median and ulnar nerves in the forearm–analysis of costs for treatment and rehabilitation of 69 patients in southern Sweden. J Hand Surg Br 2005;30:35–9.10.1016/J.JHSB.2004.09.003Search in Google Scholar

[36] Thorsén F, Rosberg HE, Steen Carlsson K, Dahlin LB. Digital nerve injuries: epidemiology, results, costs, and impact on daily life. J Plast Surg Hand Surg 2012;46:184–90.10.3109/2000656X.2012.676554Search in Google Scholar PubMed

[37] Wang E, Inaba K, Byerly S, Escamilla D, Cho J, Carey J, Stevanovic M, Ghiassi A, Demetriades D. Optimal timing for repair of peripheral nerve injuries. J Trauma Acute Care Surg 2017;83:875–81.10.1097/TA.0000000000001570Search in Google Scholar PubMed

[38] Renner A, Cserkuti F, Hankiss I. Late results after nerve transplantation on the upper extremities. Handchir Mikrochir Plast Chir 2004;36:13–8.10.1055/s-2004-815809Search in Google Scholar PubMed

[39] Hundepool CA, Ultee J, Nijhuis TH, Houpt P, Research Group ‘ZERO’, Hovius SE. Prognostic factors for outcome after median, ulnar, and combined median-ulnar nerve injuries: a prospective study. J Plast Reconstr Aesthet Surg 2015;68:1–8.10.1016/j.bjps.2014.09.043Search in Google Scholar PubMed

[40] Faroni A, Mobasseri A, Kingham PJ, Reid AJ. Peripheral nerve regeneration: experimental strategies and future perspectives. Adv Drug Deliv Rev 2015;82–83:160–7.10.1016/j.addr.2014.11.010Search in Google Scholar PubMed

[41] Kalliomaki ML, Meyerson J, Gunnarsson U, Gordh T, Sandblom G. Long-term pain after inguinal hernia repair in a population-based cohort; risk factors and interference with daily activities. Eur J Pain 2008;12:214–25.10.1016/j.ejpain.2007.05.006Search in Google Scholar PubMed

[42] Ketz AK. The experience of phantom limb pain in patients with combat-related traumatic amputations. Arch Phys Med Rehabil 2008;89:1127–32.10.1016/j.apmr.2007.11.037Search in Google Scholar PubMed

[43] Maguire MF, Ravenscroft A, Beggs D, Duffy JP. A questionnaire study investigating the prevalence of the neuropathic component of chronic pain after thoracic surgery. Eur J Cardiothorac Surg 2006;29:800–5.10.1016/j.ejcts.2006.02.002Search in Google Scholar PubMed

[44] Campbell W. Evaluation and management of peripheral nerve injuries. Clin Neurophysiology 2008;119:1951–65.10.1016/j.clinph.2008.03.018Search in Google Scholar PubMed

[45] Kuehn BM. Opioid prescriptions soar: increase in legitimate use as well as abuse. J Am Med Assoc 2007;297:249–51.10.1001/jama.297.3.249Search in Google Scholar PubMed

[46] Butler S, Eek D, Ring L, Gordon A, Karlsten R. The utility/futility of medications for neuropathic pain-an observational study. Scand J Pain 2019;19:327–35. 10.1515/sjpain-2018-0317Search in Google Scholar PubMed

Received: 2019-08-07
Accepted: 2019-08-23
Published Online: 2019-09-19
Published in Print: 2019-12-18

©2020 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

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