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. 2021 Aug 5;30(11):3307–3318. doi: 10.1007/s00586-021-06938-6

Prediction of walking ability following posterior decompression for lumbar spinal stenosis

Suzanne McIlroy 1,2,, Feroz Jadhakhan 3, David Bell 4, Alison Rushton 3,5
PMCID: PMC8550110  PMID: 34351524

Abstract

Purpose

Following surgery for lumbar spinal stenosis (LSS) up to 40% of people report persistent walking disability. This study aimed to identify pre-operative factors that are predictive of walking ability post-surgery for LSS.

Methods

An observational cohort study was conducted using data from the British Spine Registry (2017–2018) of adults (≥ 50 years) with LSS, who underwent ≤ 2 level posterior lumbar decompression. Patients receiving fixation or who had previous lumbar surgery were excluded. Walking ability was assessed by a single item on the Oswestry Disability Index and dichotomised into poor/good outcome. Multivariable regression models were performed.

Results

14,485 patients were identified. Pre-operatively 30% patients reported poor walking ability, this decreased to 8% at 12 months follow-up. Predictors associated with poor walking ability at 12 months were: increasing age (≥ 75 years OR 1.54, 95% CI 1.07, 2.18), BMI ≥ 35 kg/m2 (OR 1.52, 95% CI 1.00, 2.30), severity of leg pain (OR 1.10, CI 95% 1.01, 1.21), disability (OR 1.01, 95% CI 1.01, 1.02) and quality of life (OR 0.72, 95% CI 0.56, 0.89). Pre-operative maximum walking distance (OR 1.10, 95% CI 1.05, 1.25) and higher education (OR 0.90, 95% CI 0.80, 0.96) were associated with reduced risk of poor walking ability at 12 months; p < 0.05. Depression, fear of movement and symptom duration were not associated with risk of poor outcome.

Conclusion

Older age, obesity, greater pre-operative pain and disability and lower quality of life are associated with risk of poor walking ability post-operatively. Greater pre-operative walking and higher education are associated with reduced risk of poor walking ability post-operatively. Patients should be counselled on their risk of poor outcome and considered for rehabilitation so that walking and surgical outcomes may be optimised.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00586-021-06938-6.

Keywords: Lumbar spinal stenosis, Walking, Outcome, Decompression, Prognosis

Introduction

Lumbar spinal stenosis (LSS) is a degenerative condition that occurs in approximately 10% of older adults, causing compression of nerves and blood vessels within the lumbar spine. LSS is characterised by neurogenic claudication: pain, numbness and sometimes weakness in the legs upon walking or standing [1]. Patients experience greater walking limitation than those with knee or hip osteoarthritis [2] and report a loss of sense of self and reduced participation in meaningful activities as a result of their functional limitations [3].

Initial management of LSS is typically physiotherapy and analgesia. However, if conservative management is unsuccessful, decompression surgery (most commonly posterior decompression) may be offered to reduce pain and improve function, specifically walking [4]. LSS is the most common indication for spinal surgery in older adults [1] with over 20,000 annual procedures performed in England annually [5]. There are considerable personal and healthcare costs associated with LSS [6] and this burden is expected to increase with the ageing population [1].

Post-surgical outcomes following LSS surgery are an area of debate. Whilst surgery decompresses the spinal nerves, the correlation between spinal canal size and walking ability is poor [7]. In addition, up to 40% of people report walking disability post-operatively [8] and, at six months post-surgery few achieve minimum physical activity recommendations [9]. These findings question decision-making processes for surgery. Knowledge of factors that are predictive of outcome following lumbar decompression surgery for LSS may be valuable to inform selection of patients, or expectation setting before surgery, and to inform rehabilitation post-operatively.

There are limited data on factors predictive of outcome following surgery for LSS. A systematic review published in 2006 (n = 21 studies, 7 at low risk of bias) found that being male, younger, having greater pre-operative walking ability, better self-reported health status and a higher income predicted better post-operative walking; whereas depression and cardiovascular comorbidities predicted poorer post-operative walking [10]. However, the authors were unable to calculate odds ratio or relative risks of the predictive factors due to the heterogeneity of the included studies. Therefore, the strength of the associations were not quantified, thus limiting confidence in findings to inform clinical decision-making. Subsequent studies have been at high risk of bias by excluding patients with missing data or under-powered with small sample sizes [11]. Therefore, a low risk of bias, adequately powered study is required. The use of surgical registries provides an opportunity to collect real-world data on large numbers of patients.

Objective

To identify pre-operative factors that are predictive of walking ability at 6 weeks, 6 months and 12 months following posterior decompression for LSS.

Methods

Study design

An observational cohort study was conducted using data derived from the British Spine Registry (BSR) for all participants undergoing surgery in 2017 and 2018. Prior to surgery patients were invited to contribute to the registry; surgeons entered patient clinical, socio-demographic and surgical details and the patients were requested to complete self-reported outcome measures pre-operatively and at 6 weeks, 6 months and 12 months post-operatively. The outcome measures were completed on paper or electronically, either in clinic or via an email link. The Strengthening the Observational Report on Epidemiology (STROBE) guidelines [12] were used to inform design and reporting of the study. Ethical approval was obtained from the University of Birmingham Research Ethics Committee (ERN_19-1274AP1). Patients provided consent for their data to be used for evaluation purposes when they initially signed up to the registry.

Data source

The BSR was launched in 2012 with the British Association of Spine Surgeons as the data controller. The registry allows all UK spinal surgeons to record information about patient diagnosis, co-morbidities, surgical procedures, complications; patient-reported outcome measures (PROMs) and patient-reported experience measures. The BSR aims to be a ‘whole practice’ registry covering lumbar degenerative, cervical degenerative, deformity, tumour, trauma, infection and intradural problems. Data for this study were extracted from the registry’s lumbar degenerative pathway.

Participants

Adult patients aged ≥ 50 years old, entered in the BSR with a defined episode of 1 or 2 level lumbar posterior decompression surgery due to LSS (laminotomy, hemi-laminectomy, laminectomy, undercutting and/or partial facet joint resection) were included. Patients who received any form of fixation, micro-discectomy in isolation, surgery for non-degenerative cause (e.g. fracture, malignancy or infection) or who had had previous lumbar surgery were excluded.

Candidate predictor variables

Potential predictors were all clinical and demographic details and PROMs collected pre-operatively: age, gender, comorbidities, body mass index (BMI), smoking status, education level (up to and including secondary school education: higher education), duration of symptoms, analgesia use, self-reported maximum walking distance and time able to stand, and working status. PROMs were used to assess back related disability (Oswestry Disability Index, ODI [13]), back and leg pain severity (Numerical rating scale, NRS), quality of life (EuroQuol five dimension, 5-level questionnaire [14], EQ5D), fear avoidance beliefs (Fear Avoidance Belief Questionnaire [15]) and depression (Zung depression questionnaire [16]).

Outcome

Walking ability was assessed using a single item on the ODI [13]. The ODI is a widely used, validated, self-reported functional outcome measure specifically for use with people with low back pain. The ODI contains a single item asking patients to rate their walking ability from six statements ranging from “pain does not prevent me from walking” to “I am in bed most of the time”. It has been found to be a valid measure for self-rated walking ability [17]. To the best of our knowledge there is no published data on minimal clinical important difference for the single item. Therefore, walking ability was dichotomised into poor/good outcome based on patient’s response (Table 1). The dichotomy was defined a priori and based upon clinical judgment and the minimum clinically important difference of the ODI [18].

Table 1.

Oswestry disability index walking item

ODI walking item responses Score Outcome
Pain does not prevent me walking any distance 0 Good outcome
Pain prevents me walking more than one mile 1
Pain prevents me walking more than quarter of a mile 2
Pain prevents me walking more than 100 yards 3 Poor outcome
I can only walk using a stick or crutch 4
I am in bed most of the time and have to crawl to the toilet 5

Table 1 demonstrates how walking outcome was dichotomised into good and poor outcome

ODI: Oswestry Disability Index

Management of data

The effect of missing data for variables (e.g. BMI, smoking and PROMS) was dealt with by using multiple imputation using the Multivariable Imputation by Chained Equations (MICE) [19]. This technique replaces missing data with plausible values to estimate a more realistic regression coefficient, which means that variables with missing data are imputed one by one. Data within registries is also subject to data entry errors. To counteract this, extreme values were excluded.

Statistical analysis

Descriptive statistics

All statistical analyses were conducted using STATA version 13.1 (Stata Corp, College Station Texas, USA). Descriptive statistics were used to summarise participants’ characteristics: means, standard deviation, medians and interquartile ranges (IQR) for continuous variables; and frequencies for categorical variables. Variability of distribution for each variable was tested separately. For data with high skewness the distribution was tested using histograms, with medians and IQR used to describe the central tendency and variability of the data.

Statistical modelling

To explore the influence of each predictive factor on poor outcome both linear and logistic multivariable regression models were fitted and mean differences or ORs including their 95% CIs for each candidate predictive factor reported. Multivariate analysis initially included all candidate predictive factors, and full results were reported. Selection of items for the model included those factors which were statistically significantly (p < 0.05) associated with poor outcome according to the univariate analysis and those deemed clinically relevant to retain.

Results

The study population consisted of 14,485 adult patients aged ≥ 50 years following posterior decompression for LSS. Mean age of the study population was 68 ± 10.5 years and 51% were female. The mean pre-operative maximum distance able to walk was 167.3 m (± 226.3). Table 2 provides the clinical-demographic details and pre-operative PROMS for the study population.

Table 2.

Baseline characteristics of the LSS (posterior decompression) population [n = 14,485]

Variable Frequency Percentage (%)
Age (years), mean (SD) 68.0 ± (10.5)
Age categories
  < 60 3824 26.4
 60–64.5 1912 13.2
 65–69.5 1866 12.9
 70–74.5 2433 16.8
  ≥ 75 4450 30.7
Gender
 Female 7353 50.8
BMI (kg/m2), median [IQR] 28.0 [25.1, 31.5]
BMI (kg/m2), categories
  < 20 155 1.1
 20–24.9 949 6.5
 25–29.9 1828 12.6
 30–34.9 1085 7.5
 35–39.9 390 2.7
  ≥ 40 134 0.9
 Missing 9944 68.2
Time stood (minutes), mean (SD) 9.8 (± 9.7)
 Missing 13,863 95.7
Distance walked (meters), mean (SD) 167.3 (± 226.3)
 Missing 13,776 95.1
Work status
 Yes 514 3.5
 No 977 6.7
 Missing 12,994 89.7
Education
 Less than secondary education 74 0.5
 Post graduate degree 123 0.8
 Secondary education 557 3.8
 Some higher education 517 3.6
 Undergraduate degree 212 1.5
 Missing 13,002 89.8
Comorbidity
 Yes 2535 17.5
 Cardiovascular disease 70 0.5
 Diabetes 708 4.5
 Inflammatory arthropathy 13 0.09
 Ischaemic Heart Disease 418 2.9
 Malignancy 40 0.3
 Obesity 1,085 7.5
 Osteoporosis 30 0.2
 Rheumatoid arthritis 93 0.6
 Renal failure 78 0.5
 No 6594 45.5
 Missing 5356 36.9
Duration of symptoms (years), mean (SD) 6.1 (± 8.8)
 Missing 13,084 90.1
Neurological deficit
 Cauda Equina Syndrome 236 1.6
 Complete spinal cord injury 1 0.01
 Incomplete spinal cord injury 27 0.2
 No neurological deficit 6754 46.6
 Radicular 5028 34.7
 Missing 2439 16.8
Analgesia intake
 Yes 1357 9.4
 No 130 0.9
 Missing 12,998 89.7
Surgical approach
 Anterior and posterior 44 0.3
 Posterior 14,441 99.7
Surgery type included discectomy
 Discectomy 5358 36.99
 No discectomy 9125 63.0
 Missing 2 0.01
Zung depression, median [IQR]
 Baseline (n = 463, 3.2%) 45 [38, 52]
 Missing (n = 14,022, 96.8%)
Fear avoidance work, median [IQR]
 Baseline (n = 1,532, 10.6%) 6.0 [0, 21]
 Missing (n = 12,953, 89.4%)
Fear avoidance physical activity, median [IQR]
 Baseline (n = 1,532, 10.6%) 16 [12, 20]
 Missing (n = 12,953, 89.4%)
Back pain (NRS), median [IQR]
 Baseline (n = 9257, 63.9%) 7.0 [5.0, 8.1]
 Missing (5228, 36.1%)
Leg pain (NRS), median [IQR]
 Baseline (n = 9254, n = 63.9%) 8.0 [6.0, 9.0]
 Missing (n = 5,231, 36.1%)
Quality of life (EQ-5D-5L-Health/NRS), median [IQR]
 Baseline (n = 9,015, 62.2%) 59 [40, 75]
 Missing (n = 5,470, 37.8%)
Quality of life (EQ-5D-5L), median [IQR]
 Baseline (n = 9,019, 62.3%) 0.4 [0.21, 0.58]
 Missing (n = 5,466, 37.7%)
Disability (ODI), median [IQR]
 Baseline (n = 9,084, 62.7%) 49 [36, 62]
 Missing (n = 5,401, 37.3%)

BMI: body mass index; DISH: diffuse idiopathic skeletal hyperstosis; LSS: lumbar spinal stenosis; NRS: numerical rating scale; ODI: Oswestry Disability Index, IQR: interquartile range

Evaluation of the pre to post walking ability

Table 3 and Fig. 1 illustrate the ODI walking ability at baseline and follow up. The number of patients with poor walking ability consistently decreased from baseline. At baseline 30% of patients (50% of participants with baseline score) reported poor walking ability, this decreased to 7.6% at 12 months follow-up (24.1% of participants with 12 month follow up outcome recorded). Post-operative poor outcome consistently decreased during follow-up period. Although a large number of patients had missing data during follow-up the ratio of good: poor walking improved post-operatively to six months followup, and then progress appeared to plateau.

Table 3.

Walking ability as measured by the single item on the Oswestry Disability Index

Variable Frequency Percentage (%)
ODI (walking) scores – baseline
 Poor walking ability 4348 30.0
 Good walking ability 4297 29.7
 Missing 5840 40.3
ODI (walking) scores – 6 weeks
 Poor walking ability 1474 10.2
 Good walking ability 4999 34.5
 Missing 8012 55.3
ODI (walking) scores – 6 months
 Poor walking ability 1187 8.2
 Good walking ability 3914 27.0
 Missing 9384 64.8
ODI (walking) scores – 12 months
 Poor walking ability 1103 7.6
 Good walking ability 3456 23.9
 Missing 9926 68.5

Abbreviations: ODI: Oswestry Disability Index

Fig. 1.

Fig. 1

Walking ability: pre-operative, 6 weeks, 6- and 12-months follow-up

Determination of pre-operative factors that predict walking ability—univariate analysis

In the univariate analysis, severity of leg pain, quality of life, disability, and presence of a comorbidity were statistically significantly associated with risk of poor outcome (walking ability) (p =  < 0.05). The most common comorbidities were diabetes and obesity (Table 2). None of the other factors or PROMs showed statistically significant association with poor outcome (Table 4).

Table 4.

Factors predicting walking ability 6 weeks, 6 and 12 months following surgery – univariate analysis

Pre-operative factors 6 week following surgery 6 months following surgery 12 months following surgery
Coefficient 95% CI of the coefficient P-value Coefficient 95% CI of the coefficient P-value Coefficient 95% CI of the coefficient P-value
Age categories
  < 60 Ref Ref Ref
 60–64.5 0.02 (− 0.01, 0.05) 0.222 0.006 (− 0.05, 0.06) 0.803 − 0.007 (− 0.07, 0.06) 0.786
 65–69.5 0.03 (− 0.03, 0.10) 0.272 − 0.01 (− 0.06, 0.04) 0.592 − 0.03 (− 0.12, 0.06) 0.489
 70–74.5 0.03 (− 0.03, 0.09) 0.287 − 0.02 (− 0.09, 0.04) 0.372 − 0.05 (− 0.19, 0.08) 0.343
  ≥ 75 0.05 (− 0.04, 0.14) 0.195 − 0.006 (− 0.07, 0.06) 0.830 − 0.04 (− 0.22, 0.13) 0.527
Gender
 Female Ref Ref Ref
 Male − 0.02 (− 0.05, 0.01) 0.165 − 0.03 (− 0.09, 0.02) 0.177 0.01 (− 0.05, 0.08) 0.609
BMI Categories (kg/m2)
  < 20 Ref Ref Ref
 20–24.9 − 0.01 (− 0.12, 0.08) 0.744 − 0.02 (− 0.09, 0.05) 0.564 0.01 (− 0.07, 0.09) 0.792
 25–29.9 − 0.001 (− 0.09, 0.09) 0.994 − 0.01 (− 0.09, 0.07) 0.783 0.02 (− 0.06, 0.10) 0.621
 30–34.9 0.03 (− 0.06, 0.13) 0.508 0.02 (− 0.05, 0.10) 0.534 0.05 (− 0.03, 0.12) 0.209
 35–39.9 0.07 (− 0.03, 0.18) 0.155 0.06 (− 0.008, 0.14) 0.084 0.09 (− 0.01, 0.19) 0.079
  ≥ 40 0.11 (− 0.01, 0.23) 0.123 0.07 (− 0,04, 0.18) 0.204 0.06 (− 0.05, 0.19) 0.253
Maximum walking distance (meters) − 0.0001 (− 0.0002, 0.0001) 0.230 0.00003 (− 0.0003, 0.003) 0.807 0.0008 (− 0.003, 0.004) 0.626
Time stood (minutes) 0.001 (− 0.006, 0.009) 0.716 0.005 (− 0.001, 0.01) 0.086 0.003 (− 0.009, 0.01) 0.522

Neurological deficit

 No

 Yes 0.02 (− 0.04, 0.03) 0.852 0.003 (− 0.02, 0.03) 0.775 0.02 (− 0.03, 0.07) 0.446
Presence of comorbidity
 No Ref Ref Ref
 Yes − 0.07 (− 0.09, − 0.05) 0.020 0.07 (0.03, 0.10) 0.007 0.07 (0.02, 0.11) 0.011
Work status
 No Ref Ref Ref
 Yes − 0.07 (− 0.09, − 0.05) 0.020 0.08 (− 0.05, 0.21) 0.150 0.13 (− 0.05, 0.20) 0.126
Education
Up to & including secondary Ref Ref Ref
Higher education 0.003 (− 0.03, 0.03) 0.818 0.005 (− 0.04, 0.21) 0.150 − 0.04 (− 0.01, 0.12) 0.231
Use of analgesia
 No Ref Ref Ref
 Yes − 0.009 (− 0.13, 0.11) 0.847 0.008 (− 0.17, 0.19) 0.907 − 0.13 (− 0.23, 0.09) 0.628
Surgery type
 No discectomy Ref Ref Ref
Discectomy 0.06 (0.01, 0.10) 0.019 0.12 (0.07, 0.17)  < 0.001 0.10 (0.06, 0.15)  < 0.001
Duration of symptoms (years) 0.003 (− 0.002, 0.009) 0.166 0.003 (− 0.001, 0.007) 0.121 0.004 (− 0.004, 0.007) 0.243
Zung depression score 0.006 (− 0.003, 0.003) 0.424 0.0007 (− 0.008, 0.009) 0.826 0.004 (− 0.01, 0.02) 0.561
Fear avoidance (work) − 0.001 (− 0.006, 0.003) 0.434 − 0.002 (− 0.009, 0.004) 0.298 − 0.002 (− 0.01, 0.009) 0.638
Fear avoidance (pain) − 0.0.006 (− 0.006, 0.005) 0.766 0.003 (− 0.002, 0.008) 0.186 0.002 (− 0.006, 0.01) 0.521
Back pain (NRS) 0.004 (− 0.0003, 0.009) 0.065 0.006 (− 0.004, 0.02) 0.172 0.005 (− 0.01, 0.02) 0.488
Leg pain (NRS) − 0.01 (− 0.02, − 0.009)  < 0.001 − 0.01 (− 0.02, − 0.003) 0.015 − 0.009 (− 0.002, − 0.01) 0.020
Quality of life (EQ- 5D− 5L Health VAS) 0.00002 (− 0.001, 0.001) 0.953 − 0.0001 (− 0.0005, 0.0002) 0.343 0.0002 (− 0.0008, 0.001) 0.594
Quality of life (EQ-5D-5L) − 0.07 (− 0.16, − 0.20) 0.008 − 0.09 (− 0.17, − 0.009) 0.034 − 0.05 (− 0.01, − 0.08) 0.038
Disability (ODI) 0.006 (0.005, 0.007)  < 0.001 0.008 (0.005, 0.01) 0.003 0.007 (0.003, 0.01) 0.006

Abbreviations: BMI: body mass index; CI: confidence interval; NRS: numerical rating scale; ODI: Oswestry Disability Index; VAS: visual analogue scale

Bold values represent p < 0.05

Determination of pre-operative factors that predict walking ability—multivariate analysis

6 weeks post-operative

In the multivariate analysis increasing age (except for 65–69.5 age group), BMI 35–39.9 kg/m2, level of education, severity of leg pain, quality of life, and back-related disability were predictive of poor post-operative walking ability (Table 5).

Table 5.

Factors predicting walking ability 6 weeks, 6 months and 12 months following surgery – multivariate analysis

Pre-operative factors 6 week following surgery 6 months following surgery 12 months following surgery
OR 95% CI of the OR P-value OR 95% CI of the OR P-value OR 95% CI of the OR P-value
Age categories
 < 60 Ref Ref Ref
 60–64.5 1.17 (1.03, 1.32) 0.012 1.08 (1.01, 1.24) 0.011 1.07 (1.01, 1.24) 0.021
 65–69.5 1.24 (1.07, 1.45) 0.004 0.95 (0.82, 0.99) 0.024 1.17 (1.01, 1.19) 0.042
 70–74.5 1.16 (0.97, 1.39) 0.095 0.88 (0.77, 1.39) 0.095 0.99 (0.76, 1.30) 0.986
  ≥ 75 1.62 (1.28, 2.04)  < 0.001 1.34 (1.11, 1.60) 0.007 1.54 (1.07, 2.18) 0.024
Gender
 Female Ref Ref Ref
 Male 0.98 (0.89, 1.08) 0.733 0.97 (0.88, 1.07) 0.580 0.99 (0.88, 1.11) 0.947
BMI Categories (kg/m2)
  < 20 Ref Ref Ref
 20–24.9 0.91 (0.64, 1.31) 0.646 0.86 (0.60, 1.24) 0.442 1.06 (0.93, 1.55) 0.728
 25–29.9 1.05 (0.74, 1.48) 0.770 0.94 (0.66, 1.33) 0.741 1.07 (0.75, 1.54) 0.685
 30–34.9 1.19 (0.84, 1.71) 0.322 1.08 (0.75, 1.55) 0.656 1.25 (0.87, 1.82) 0.221
 35–39.9 1.56 (1.05, 2.32) 0.027 1.24 (1.05, 1.87) 0.015 1.52 (1.00, 2.30) 0.048
  ≥ 40 1.39 (0.85, 2.29) 0.186 1.17 (1.02, 1.96) 0.005 1.34 (1.21, 5.23) 0.015
Maximum walking distance (meters) 0.99 (0.99, 1.00) 0.062 1.00 (1.02, 1.15) 0.021 1.10 (1.05, 1.25) 0.027
Time stood (minutes) 1.00 (0.98, 1.02) 0.711 1.01 (0.99, 1.02) 0.144 1.00 (0.98, 1.02) 0.501
Neurological deficit
 No Ref Ref Ref
 Yes 1.05 (0.95, 1.15) 0.313 1.00 (0.92, 1.08) 0.958 0.96 (0.86, 1.07) 0.475
Presence of comorbidity
 No Ref Ref Ref
 Yes − 0.07 (− 0.09, − 0.05) 0.242 1.33 (0.98, 1.47) 0.564 1.37 (0.98, 1.67) 0.089
Work status
 No Ref Ref Ref
 Yes 1.09 (0.81, 1.45) 0.486 1.21 (0.98, 1.47) 0.064 1.26 (0.97, 1.65) 0.072
Education
 Up to & including secondary school Ref Ref Ref
 Higher education 0.79 (0.73, 0.86)  < 0.001 0.74 (0.67, 0.81)  < 0.001 0.90 (0.80, 0.96) 0.005
Use of analgesia
 No Ref Ref Ref
 Yes 0.97 (0.71, 1.34) 0.856 0.97 (0.71, 1.34) 0.856 0.79 (0.54, 1.15) 0.190
Surgery type
 No discectomy Ref Ref Ref
 Discectomy 1.07 (0.97, 1.18) 0.156 1.25 (1.11, 1.39)  < 0.001 1.14 (1.03, 1.28) 0.013
Durations of symptoms (years) 1.00 (0.99, 1.01) 0.082 1.00 (0.99, 1.01) 0.378 1.00 (0.99, 1.01) 0.233
Zung depression score 1.01 (0.99, 1.03) 0.171 1.00 (0.98, 1.01) 0.930 1.00 (0.97, 1.03) 0.512
Fear avoidance (work) (baseline) 0.99 (0.98, 1.01) 0.748 0.99 (0.97, 1.01) 0.412 0.99 (0.97, 1.03) 0.512
Fear avoidance (pain) (baseline) 0.99 (0.97, 1.02) 0.796 1.00 (0.99, 1.01) 0.136 1.00 (0.97, 1.01) 0.776
Back pain (NRS) 1.01 (0.98, 1.03) 0.335 1.03 (0.95, 1.12) 0.156 1.00 (0.98, 1.02) 0.868
Leg pain (NRS) 0.96 (0.93, 0.99) 0.031 1.01 (1.00, 1.04) 0.007 1.10 (1.01, 1.21) 0.046
Quality of life (EQ-5D-5L Health VAS) 1.00 (0.99, 1.00) 0.662 1.00 (0.99, 1.00) 0.271 1.00 (0.99, 1.00) 0.145
Quality of life (EQ-5D-5L) 0.70 (0.53, 0.93) 0.016 0.72 (0.53, 0.98) 0.039 0.72 (0.56, 0.89) 0.037
Disability (ODI) 1.01 (1.01, 1.02)  < 0.001 1.01 (1.01, 1.02)  < 0.001 1.01 (1.01, 1.02)  < 0.001

Abbreviations: BMI: body mass index; CI: confidence interval; VAS: visual analogue scale; ODI: Oswestry Disability Index; NRS: numerical rating scale

Bold values represent p < 0.05

6 months post-operative

The results of the multivariate analysis identified that age, BMI 35–39.9 kg/m2, level of education, severity of leg pain, quality of life, and back-related disability continued to be predictive of poor post-operative walking ability. In addition, self-reported pre-operative maximum walking distance and BMI ≥ 40 kg/m2 were predictive of poor walking ability (Table 5).

12 months post-operative

In the multivariate analyses, age, BMI ≥ 35 kg/m2, self-reported pre-operative maximum walking distance, level of education, severity of leg pain, quality of life, and back-related disability continued to be predictive of post-operative walking ability (Table 5).

Discussion

We identified 14,485 patients registered on a national prospective registry receiving posterior decompressive surgery for LSS. Increasing age, BMI ≥ 35 kg/m2, self-reported pre-operative maximum walking distance, level of education, severity of leg pain, quality of life, and back-related disability were consistently associated with risk of poor walking ability six weeks to 12 months post-operatively. All other variables investigated were not found to be predictive.

Increasing age (except for the category 65–69.5 years) was found to be associated with risk of poor walking ability. Although this is consistent with the previous systematic review [10] subsequent studies have not demonstrated consistent results [20, 21]. The reason for the discrepancies are unclear, and may be due to methodological differences including difference in outcomes. When considering walking difficulty is associated with older age in the general population [22], older adults, especially ≥ 75 years should be considered to be at risk of poor walking ability post-operatively.

Following age ≥ 75 years, very high BMI (≥ 35 kg/m2) had the largest odds ratio for all the candidate variables investigated. This is consistent with observational studies investigating walking ability prior to surgery [23] and clinical outcomes post LSS surgery [24] thus adds credibility to our findings. As BMI is potentially modifiable, this result provides a possible target to address to improve walking ability post-surgery.

Pre-operative maximum walking distance (self-reported) was found to be associated with risk of poor walking ability post-operatively. This is consistent with the previous systematic reviews [10, 25] and provides credibility to our results. We also found disability and severity of leg pain to be significant factors however this is in contrast to a recent systematic review [25] who reported there was low evidence that disability and severity pain was not associated with walking capacity post-operatively. The reason for this discrepancy is unclear and is worth further investigation including the exploration of possible causation mechanisms.

Psychosocial variables have been identified as risk factors for walking disability in people with back pain [26] and other long term conditions [27, 28]. Within the current study the influence of fear avoidance, depression and quality of life was investigated. Only quality of life was found to be significantly associated with risk of poor post-operative walking ability, this is in contrast to a high quality study (n = 452) that reported no association between quality of life (measured by with the EQ5D-3L) and achieving the minimum clinical important difference in the function subscale of the Zurich Claudicant Questionnaire [29] at 12 months post-operative [21]. Our study is consistent with previous studies that did not identify an association between pre-operative fear of movement [30] or depression [31, 32] and post-operative walking in people with LSS. Interestingly in a group of 122 people undergoing surgery for LSS, mental health scores improved post-operatively [31]; and in further studies, continuous (i.e. present pre and post-operatively) fear of movement [30] and continuous depression [32] were demonstrated to be associated with post-operative walking ability whereas there was no association if present pre-operatively only. Thus it may be the post-operative psychosocial variables, rather than the pre-operative variables that are important in this cohort. This warrants further investigation as psychosocial factors are potentially modifiable and have been demonstrated to be a promising target for rehabilitation [33].

The current study has demonstrated that older age, BMI, pre-operative maximum walking distance, educational level, quality of life, leg pain and disability are associated with risk of poor walking post-operatively. Of these variables BMI, pre-operative walking distance, quality of life, pain and disability are potentially modifiable. Clinicians should therefore counsel their patients with these characteristics on their risk of poor outcome and encourage them to optimise their weight and health and consider referring them for rehabilitation. There have been promising results for pre-operative physiotherapy [34] and post-operative Cognitive-based Physical Therapy [33] to improve walking ability in adults with degenerative lumbar conditions. Future research may demonstrate it is possible to stratify patients at risk of poor outcome to receive rehabilitation, so that their post-operative outcomes and their walking are optimised.

Strengths and limitations

Using a national surgical database, a large cohort of patients receiving surgery for LSS has been studied. The large number of participants included increases the generalisability of our results as participants do not represent one or two small clusters. Key variables predicting risk of poor walking ability post-operatively and areas that require further research have been identified.

There were large amounts of missing data. Missing data and loss to follow-up is an inherent problem with national databases. There is the concern that the missing data may be due to a systematic reason i.e. that it is not missing completely at random and this can introduce an inherent bias. In an attempt to reduce the risk of bias, and increase confidence in our results we included all registered patients [35] and clearly reported the missingness. However, there were large amounts of missing data thus selection bias cannot be completely ruled out. Additionally, there was a high loss to follow-up rate although, there remained a high number of participants at 12 months follow up (over 4500). In order to scrutinise our data and any impact from our imputations, we re-ran the analysis including participants with a completed ODI score at 12 months (see table 6 and 7, online supplementary information). This identified the same significant factors and thus increases the confidence, value, and generalisability of our results.

At baseline 30% of the included patients reported poor walking ability, this decreased post-operatively, with poor walking ability reported by 8.2% at 3 months follow-up and 7.6% at 12 months follow-up. This is a low prevalence compared to other reports [8] and may be due the impact of the missing data. Although the ODI is a well-recognised measure, we are not aware of other studies that have defined poor outcome in the same method as the current study. Our dichotomy was carefully considered to avoid a type I error however, future research should consider whether the dichotomy used to assess poor outcome is sufficiently sensitive. Due to the data retrieval process it was not possible to analyse the impact of individual comorbidities. This information could prove pertinent and is a recommended area for future research.

Conclusion

In an analysis of over 14,000 patients from a national prospective spinal registry older age, higher BMI, greater severity of pre-operative leg pain and disability were associated with risk of poor walking ability and greater pre-operative maximum walking distance and higher education were associated with lower risk of poor walking ability six weeks to 12 months post-operative. Patients with these risk factors should be counselled on their risk of poor outcome and considered for rehabilitation so that walking and surgical outcomes may be optimised.

Supplementary Information

Below is the link to the electronic supplementary material.

Author contribution

AR is Chief Investigator and guarantor. SM and DB were responsible for the conception of the study. AR and FJ led protocol development, supported by all authors. AR and FJ led on data analyses and drafted results. All authors have contributed to data interpretation, conclusions and dissemination. SM drafted the initial manuscript. Subsequent drafts were developed with all authors. All authors have read, contributed to and agreed upon the final manuscript.

Funding

Partial funding support was provided for Research Fellow time (FK) to analyse and present the data by Amplitude Clinical – the company that provides the platform hosting the British Spinal Registry. SMc has a Research Training Fellowship with the Dunhill Medical Trust (Grant No. RTF2006\14).

Declarations

Competing interests

The corresponding author has completed the disclosure of potential conflicts of interest and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Footnotes

Publisher's Note

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