Open Access
Issue
SICOT-J
Volume 3, 2017
Article Number 65
Number of page(s) 4
Section Spine
DOI https://doi.org/10.1051/sicotj/2017050
Published online 22 November 2017

© The Authors, published by EDP Sciences, 2017

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Introduction

Lumbar disc herniation and spinal stenosis can cause debilitating nerve pain, paraesthesia and muscle weakness. Such problems may lead to chronic pain and immobility, which in turn can cause difficulties in work, exercise and personal life [4]. It is therefore important to treat the problem, by performing micro-discectomies and spinal decompressions in patients with persistent and/or progressive sciatica.

There are a number of health risks and co-morbidities associated with smoking which could be associated with poor outcome in complex-spinal surgery. It is vital to investigate whether there are similar problems associated with smoking in lumbar spinal decompressions. This study aimed to evaluate whether smoking has any effect on the outcome of spinal decompressions or micro-discectomies. The study evaluated two groups, smokers and non-smokers who have had a lumbar decompression for disc prolapse and spinal stenosis and compared their leg pain, back pain, Oswestry Disability Index (ODI) pre- and post-operatively. We also analysed whether there were any peri-operative complications following spinal surgery in smokers compared to non-smokers.

Materials and methods

Patients

This is a retrospective study using a database of 143 consecutive patients who have had either a micro-discectomy or a decompression between August 2012 and September 2014. From the 143 patients used in the data, 70 were male and 73 female with the median age being 58 years. There were 67 patients who had a micro-discectomy and 76 had a decompression procedure, with a mix of single-level and multi-level disease. All surgeries were carried out by the same surgeon.

The patients were therefore split up into two groups; Smokers and Non-Smokers (including ex-smokers). The term ex-smoker refers to an individual who has given up cigarette and tobacco smoking, whereas a current smoker is an individual who has smoked at least 100 cigarettes in their lifetime and is a current smoker [5].

Sixty-six patients were smokers or had a history of smoking, and 77 were non-smokers and had no history of smoking. The smoker patients’ Pack Years ranged from one to 50 with an average of 25 pack years; the median number of cigarettes smoked per day was 20. There were only six patients that smoked less than five cigarettes a day.

Treatment

All operations were carried out by the same surgeon. A standard micro-discectomy approach was used with midline incision, ipsilateral paraspinal dissection, minimal exposure laminotomy, and microscope-assisted discectomy and/or lateral recess decompression with undercutting facetectomy [6].

Data collection

The data was collected using patient notes, clinical letters, operation notes and discharge letters. The information collected included age, sex, date of birth, type of operation (micro-discectomy or a decompression) and smoking history (whether or not they are smokers, and if so how many cigarettes they smoke a day and for how long have they smoked). If they were ex-smokers, then data was based on when did they quit, how many did they previously smoke per day and for how long. Pre-operative leg pain using a Visual Analogue Scale (VAS-LP) and back pain measured using a Visual Analogue Scale (VAS-BP) were recorded. From a scale of 0–10, these included; “Pain when worst being 10”, “pain when least being 0”, and “pain right now”. The mean value of the three scales was recorded as VAS leg pain and VAS back pain [7]. Functional disability caused by the pain was measured using ODI (Oswestry Disability Index) [8]. This was measured using a Questionnaire [9, 10]. This questionnaire asks ten questions, which each have a score of 1–5, to indicate how debilitating the functions are. The questions asked investigated how the pain affects their sleeping, their personal care, their ability to walk, etc. The answer was divided by 50 and multiplied by 100 to give an overall percentage. Post-operative data were then collected on any complications peri-operatively, on post-operative lower back pain using VAS-BP [7], post-op leg pain using VAS-LP [7] and post-op disability caused by pain, measured using an Oswestry Lower Back Pain Disability Questionnaire [9]. An improvement equal to or more than 20% in the ODI score and two or more out of ten in the VAS was considered clinically significant. We also measured the duration of follow-up for each of these patient groups.

Statistical analysis

The data was analysed using a χ 2 test on SPSS software. The p-value of < 0.05 was considered as statistically significant.

Results

Overall, our results (Table 1) showed 2% more non-smokers had improved leg pain compared to smokers, 1% more non-smokers had improved back pain and 6% less non-smokers had an improved ODI compared to smokers. Only one patient with a history of smoking experienced post-operative complication (2%), which was a chest complication secondary to smoking, and none of the non-smoker patients experienced any peri-operative complications.

Table 1.

Shows the percentage of smokers and non-smokers that improved VAS-LP, VAS-BP, ODI and peri-operative complication.

In our study, p-value for the outcome of leg pain was 0.6, for back pain as 1.0 and ODI as 0.7. In all cases, the p-value was > 0.05 and the null hypothesis remained true as no statistical difference between smokers and non-smokers in the outcomes of non-complex decompressive spinal surgery.

Each of these Figures 13 shows comparable clinical results with very little difference in the clinical and subjective outcome between smokers and non-smokers.

thumbnail Figure 1.

Shows the percentage of smokers and non-smokers that decreased at least two points in the VAS-LP.

thumbnail Figure 2.

Shows the percentage of smokers and non-smokers that decreased at least two points Back Pain.

thumbnail Figure 3.

Shows the percentage of smokers and non-smokers that decreased at least 20% in the ODI questionnaire.

This was further evidenced by the mean follow-up duration between smokers and non-smokers; 6.7 months for the smoking group and 6.4 months for the non-smoking group, showing a non-significant difference.

Discussion

This study demonstrated that there was no difference in the clinical as well as subjective outcome of lumbar decompressions and micro-discectomies for smokers and non-smokers.

There are evidences in the literature supportive as well as opposing this statement. In a retrospective cohort study by Appaduray and Lo [11] looking at the effects of diabetes and smoking as variables on the outcome of lumbar surgery. Of 902 patients who underwent lumbar spinal surgery between 2001 and 2005, inclusively, this paper concluded that diabetes does increase the risk of poor outcome following lumbar spinal surgery. However, no association was found between a positive smoking history and an increased incidence of poor outcome. Gulati et al. published a study questioning whether daily smoking affects outcomes after micro-decompression for degenerative central lumbar spinal stenosis (LSS) [12]. A total of 825 patients were included (619 non-smokers and 206 smokers). It concluded that non-smokers experienced a significantly greater improvement at one year following micro-decompression for LSS compared to smokers. However, it was noted that a considerable improvement was also found amongst smokers. This shows that smoking may not necessarily have been the cause for deterioration.

However, Nerland et al. published a paper showing opposing results. This study looked at different predictors of deterioration after decompressive surgery for lumbar spinal stenosis [13]. It used 1735 patients with complete 12 months follow-up and found that both old age and smoking together caused deterioration of pain and disability, shown by a decreasing post-operative ODI. However, by studying old age and smoking together as variables, it does not show whether smoking was an independent predictor for deterioration, or whether this was due to old age.

Ideally in a future version of this study, we would subdivide the smokers group further into heavy and light smokers, to see if we could demonstrate a risk of complications at higher smoking exposure. However, this information was not available to us in this retrospective study, and patient numbers per group may not have been large enough for us to establish significant results.

Nevertheless, smoking could be associated with increased risk of chest complications, venous thrombo-embolism and wound complications. Noteworthy is that decompressive lumbar spinal procedures are minor insult to body’s metabolic and physiological responses. They could be treated as a day case or overnight admission in vast majority of cases. This study revealed that there was no significant difference in the outcome of lumbar decompressions between smokers and non-smokers with regard to improvement in pain and functions. We also confirmed that medical and surgical complications were also comparable and negligible in the two studied groups. Amount and duration of smoking status did not show any difference in the outcome. By unnecessarily refusing treatment, patients may encounter chronic, debilitating nerve pain, which can cause further problems such as job loss, depression and further immobility [14]. Nevertheless, due to the co-morbidities associated with smoking, smoking should be discouraged in patients [15]. We conclude that lumbar spinal decompressions and micro-discectomies could be offered to patients with persistent and/or progressive sciatica regardless of their smoking status.

Conflict of interest

The authors declare that they have no conflict of interest in relation with this paper.

References

  1. Hilibrand AS, Fye MA, Emery SE et al. (2001) Impact of smoking on the outcome of anterior cervical arthrodesis with interbody or strut-grafting. J Bone Joint Surg Am 83-A(5), 668–673. [CrossRef] [PubMed] [Google Scholar]
  2. Jin BF (2015) Lumbar disc herniation and andrological diseases. Zhonghua Nan Ke Xue 21(10), 867–870 [Article in Chinese]. [PubMed] [Google Scholar]
  3. Garvey AJ, Bliss RE, Hitchcock JL et al. (1992) Predictors of smoking relapse among self-quitters: a report from the Normative Aging Study. Addict Behav 17(4), 367–377. [CrossRef] [Google Scholar]
  4. Pitsika M, Thomas E, Shaheen S, Sharma H (2016) Does the duration of symptoms influence outcome in patients with sciatica undergoing micro-discectomy and decompressions? Spine J 16(4 Suppl), S21–S25. [CrossRef] [PubMed] [Google Scholar]
  5. Farag E, Ghobrial M, Sessler DI et al. (2013) Effect of perioperative intravenous lidocaine administration on pain, opioid consumption, and quality of life after complex spine surgery. Anesthesiology 119(4), 932–940. [CrossRef] [PubMed] [Google Scholar]
  6. Sandén B, Försth P, Michaëlsson K et al. (2011) Smokers show less improvement than non-smokers two years after surgery for lumbar spinal stenosis: a study of 4555 patients from the Swedish spine register. Spine (Phila Pa 1976) 36(13), 1059–1064. [CrossRef] [PubMed] [Google Scholar]
  7. Wewers ME, Lowe NK (1990) A critical review of visual analogue scales in the measurement of clinical phenomena. Res Nurs Health 13, 227–236. [CrossRef] [PubMed] [Google Scholar]
  8. Fairbank JC, Pynsent PB (2000) The Oswestry Disability Index. Spine 25, 2940–2952. [CrossRef] [PubMed] [Google Scholar]
  9. Fairbank JC, Couper J, Davies JB, O’Brien JP (1980) The Oswestry low back pain disability questionnaire. Physiotherapy 66, 271–273. [PubMed] [Google Scholar]
  10. Sibbald B, Roland M (1998) Understanding controlled trials: why are randomised controlled trials important? BMJ 316, 201. [CrossRef] [PubMed] [Google Scholar]
  11. Appaduray SP, Lo P (2013) Effects of diabetes and smoking on lumbar spinal surgery outcomes. J Clin Neurosci 20(12), 1713–1717. [CrossRef] [PubMed] [Google Scholar]
  12. Gulati S, Nordseth T, Nerland US et al. (2015) Does daily tobacco smoking affect outcomes after microdecompression for degenerative central lumbar spinal stenosis. Acta Neurochir (Wien) 157(7), 1157–1164. [CrossRef] [PubMed] [Google Scholar]
  13. Nerland US, Jakola AS, Giannadakis C et al. (2015) The risk of getting worse: predictors of deterioration after decompressive surgery for lumbar spinal stenosis. World Neurosurg 84(4), 1095–1102. [CrossRef] [PubMed] [Google Scholar]
  14. Katz J, Rosenbloom BN, Fashler S et al. (2015) Chronic pain, psychopathology, and DSM-5 somatic symptom disorder. Can J Psychiatry 60(4), 160–167. [CrossRef] [PubMed] [Google Scholar]
  15. Abe M (2013) Problems of tobacco smoke and positive effects of quit-smoking on human health. Nihon Rinsho 71(3), 406–415 [Article in Japanese]. [PubMed] [Google Scholar]

Cite this article as: Mehta R & Sharma H (2017) Does smoking affect the outcomes of lumbar decompression surgery? SICOT J, 3, 65

All Tables

Table 1.

Shows the percentage of smokers and non-smokers that improved VAS-LP, VAS-BP, ODI and peri-operative complication.

All Figures

thumbnail Figure 1.

Shows the percentage of smokers and non-smokers that decreased at least two points in the VAS-LP.

In the text
thumbnail Figure 2.

Shows the percentage of smokers and non-smokers that decreased at least two points Back Pain.

In the text
thumbnail Figure 3.

Shows the percentage of smokers and non-smokers that decreased at least 20% in the ODI questionnaire.

In the text

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