Skip to main content
Intended for healthcare professionals
Open access
Research article
First published online August 26, 2019

Predictive factors for neurological deficit in patients with spinal tuberculosis

Abstract

Background:

Spinal tuberculosis (TB) is a leading cause of damage to the spine and associated neural structures.

Purpose:

This study aims to identify the risk factors for neurological deterioration in spinal TB patients to promptly care for the patients before paralysis develops.

Methods:

The demographics, clinical characteristics, laboratory results, and radiographic findings of spinal TB patients were collected between 1993 and 2016. The data were analyzed using logistic regression methods. The predictive factors for neurological deficit were identified.

Results:

There were 125 spinal TB patients (70 men and 55 women). The average age ± standard deviation was 55.7 ± 2.0 and 52.3 ± 2.4=years, respectively. According to the univariate analysis, the significant risk factors associated with neurological deterioration were signal cord changes, notable Cobb angle (>30°), radiating pain, and epidural abscess. The multivariate analysis revealed that only signal cord change and notable Cobb angle significantly influenced neurological status.

Conclusion:

The predictive factors for neurological deterioration in spinal TB patients are signal cord change and notable Cobb angle. Surgery should be considered in patients who present with these factors before the development of neurological deterioration.

Introduction

The World Health Organization (WHO) estimates that there are more than 10 million new cases of tuberculosis (TB) each year.1 Among all tuberculous infections, the incidence of spinal TB is 1%,2 and spinal TB represents one-half of extrapulmonary TB cases.3,4 Spinal TB is also the most common and serious form of musculoskeletal TB; it can cause pain, vertebral destruction, and neurological deficit.3 Due to motor deficits, patients have poor daily living activity. Laboratory investigations, radiographs, and magnetic resonance imaging (MRI) inform spinal pathoanatomy and help in making a diagnosis.59 Spinal TB frequently affects thoracic and lumbar spine, leading to the destruction of the spine and can cause neurological compression.10 Management of spinal TB can be classified into those with neurological complication and those without neurological complication. Anti-TB medication is the mainstay of treatment for both groups. However, for a patient with neurological complication, the addition of surgical treatment provides better results.11 The results will be the best if the patients at risk for neurological deterioration are identified and treated promptly. The literature, however, have limited information about the risk factors for predicting neurological deterioration in adult spinal TB patients.12 It is believed till date that the neurological deficit may be associated with the patient’s age12 and signal cord changes on MRI T2-weighted image.6 The purpose of our study was to determine the predictive factors for neurological deficit in spinal TB patients.

Materials and methods

Study design and population

The study protocol was reviewed and approved by the Institute’s Ethics Committee for Human Research based on the Declaration of Helsinki and the ICH Good Clinical Practice Guidelines (HE571094).
Medical records of 125 spinal TB patients seen consecutively at our institute between 1993 and 2016 were retrospectively reviewed. For nonoperated patients, the diagnosis of spinal TB was based on the therapeutic diagnosis (the clinical responses to anti-TB medication). For operated patients, the diagnosis was based on pathological specimens, tissue cultures, or polymerase chain reaction (PCR) for TB. The TB spine patient with active disease and/or early onset of neurological deficit were included. The patients who had a late-onset neurological deficit in a healed TB10 were excluded from the study. The data collection included patient characteristics, clinical features, neurological status, laboratory results, radiographic findings, and MRI findings.

Outcome measurement

Data on possible risk factors were also collected, including: (a) clinical characteristics (i.e. age, sex, local spine tenderness, radiating pain, body temperature, urinary incontinence, and neurological deficit); (b) erect radiographic results and MRI findings (i.e. Cobb angle,13 vertebral collapse, endplate destruction, signal cord change, posterior element involvement, epidural abscess, disc space involvement, and level of spine involvement); and (c) laboratory investigations (i.e. erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)). All factors were recorded as present or absent, except for: (i) age (which was recorded as years); (ii) kyphosis or lordosis (which was classified as <30° or >30° using the Cobb method 1419 (the angle between the upper border of the upper normal vertebra and the lower border of the lower normal vertebra); (iii) ESR (which was recorded as <40 mm/h or >40 mm/h); and (iv) collapse (which was recorded as <50% or >50% anterior vertebral body height loss).

Statistical methods

To achieve 80% power,20 a total number of 110 patients were needed to have a 95% chance of detecting a 0.6 odds ratio (OR) of having a neurological deficit, based on a 30% incidence of neurological deficit in patients with TB spine.2
Descriptive statistics included mean, standard deviation (SD), and 95% confidence interval (CI). The baseline demographic data were compared between the neurological deficit and control groups. The continuous variables and categorical data were compared using the independent t-test and nonparametric tests, respectively. Univariate and multivariate logistic regression analyses were used to determine the risk factors for neurological deficit. Variables from the univariate analyses—indicating an association with neurological deficit (i.e. p value <0.2)21—and in the literature were included in the multivariate regression analyses. Backward logistic regression was used for model building. The overall significance level of the study was set at 0.05. All data were analyzed using IBM SPSS Statistics (version 20, IBM Corporation, Armonk, New York, USA), and post hoc power analysis of the study was calculated using G*Power (version 3.0.10).22

Results

A total of 125 spinal TB patients including 70 men (mean age 55.7 ± 2.0) and 55 women (mean age 52.3 ± 2.4) were enrolled. Most of the spinal TB involved the thoracic (68.8%), followed by the lumbar (23.2%) and the cervical spines (8.0%). There were 77 cases of neurological deficit (Table 1) including the quadriplegia for three cases, paraplegia for five cases, complete motor deficit of lower limbs with preserve some pinprick sensation for 25 cases, paraparesis with motor power less than grade 3 for 32 cases, and paraparesis with motor power grade 3 or 4 for 12 cases. All patients with neurological deficit were operated. In patients without neurological deficit, seven cases were operated on due to psoas abscess and 10 cases were operated for their tissue biopsies.
Table 1. Demographic data of the spinal TB patients at initial visit.a
CharacteristicND group (n = 77)Control group (n = 48)p Value
Age, years (mean ± SD)55.5 ± 16.952.1 ± 17.50.80
Men:women46:3124:240.29
Level of involvement  0.06
 Cervical91 
 Thoracic5333 
 Lumbar1514 
Local tenderness76470.74
Radiating pain55280.13
Fever37200.49
Urinary incontinence2600.0001
Notable Cobb angle16100.01
High ESR54380.27
End plate involvement72460.58
Signal cord change31160.001
Posterior element involvement210.86
Severe collapse29230.26
Epidural abscess58280.04
Disc space involvement72440.70
SD: standard deviation; TB: tuberculosis; ESR: erythrocyte sedimentation rate.
aND indicates neurological deficit; control represents no neurological deficit; integers within table represent number of patients; notable Cobb angle represents more than 30° of the Cobb angle; high ESR represents more than 40 mm/h for the erythrocyte sedimentation rate; and severe collapse indicates more than 50% height loss of the vertebral body.
According to the univariate regression analyses, the significant risk factors (p value <0.2) were signal cord change (Figure 1), notable Cobb angle (>30°) (Figure 1), epidural abscess, and radiating pain (Table 2). For comparison, previous studies included age and severe collapse as risk factors for the neurological deficit in spinal TB patients. We included all of these factors in the multivariate regression analyses, but after backward stepwise logistic regression analyses (Table 3), only signal cord change and notable Cobb angle were significant risk factors. The adjusted OR was 3.31 (p = 0.003) and 2.62 (p = 0.04), respectively. The Nagelkerke R 2 from backward stepwise logistic regression ranged between 0.21 and 0.32, and post hoc power analysis of the study was 0.97.
Figure 1. A 25-year-old man with spinal tuberculosis presented with 58° of kyphosis (a) and hyperintense signal cord change (together with anterior and posterior spine destruction) at the area of kyphotic deformity on T2-weighted image (b). The antituberculosis medication was started, but he had progressive paraplegia within a few weeks after the initial visit. Then, the spinal cord decompression and spinal instrumentation were operated promptly. After surgery for 4 months, the patient was able to walk independently with almost grade 5 motor power of his lower limbs.
Table 2. Univariate analyses.a
Possible risk factorsCrude odds ratio95% CI odds ratiop Value
Age1.010.99–1.030.28
Sex0.670.33–1.390.29
Local tenderness1.620.10–26.470.74
Radiating pain1.790.84–3.810.13b
Fever1.420.76–2.650.28
Complaint of bladder involvement1.520.59–3.151.00
Notable Cobb angle3.351.37–8.200.008b
High ESR1.620.69–3.790.27
End plate involvement1.600.28–8.580.59
Signal cord change3.811.76–8.240.001b
Posterior element involvement1.250.11–14.210.86
Epidural abscess2.181.01–4.720.048b
Disc space involvement1.310.33–5.140.70
Severe collapse1.520.73–3.160.26
CI: confidence interval; ESR: erythrocyte sedimentation rate.
aNotable Cobb angle represents more than 30° of the Cobb angle; high ESR represents more than 40 mm/h erythrocyte sedimentation rate; and severe collapse indicates more than 50% height loss of the vertebral body.
b p < 0.2: significant risk factors from univariate analyses.
Table 3. Multivariate analyses of possible risk factors.a
Possible risk factorsAdjusted odds ratio95% CI odds ratiop Value
Age1.000.98–1.030.96
Severe collapse1.910.84–4.330.12
Epidural abscess1.080.43–2.750.87
Signal cord change3.311.50–7.300.003b
Notable Cobb angle2.621.03–6.670.04b
Radiating pain1.790.78–4.100.17
CI: confidence interval.
aNotable Cobb angle is >30° of the Cobb angle and severe collapse indicates more than 50% height loss of the vertebral body.
b p < 0.05: significant risk factors from multivariate analyses.

Discussion

The clinical features of TB spine vary; they can be either systemic or local diseases but are often nonspecific. The clinical features in our TB spine patients were similar to those described in previous studies, with backache (58%), fever (22%), and weight loss (19%) being the most commonly presenting symptoms.23 We also diagnosed TB spine using the typical features of spinal TB seen on MRI including the lesion that originated from vertebral endplate, anterior vertebral body involvement, subligamentous spreading, preserved disc space, preserved pedicle, and/or multiple vertebral body lesions. An MRI was performed in the early period after the patient’s admission or after neurological deterioration.
Most of the spinal TB involved the thoracic (68.8%), followed by the lumbar (23.2%) and the cervical spines (8.0%). Considering only for thoracic spinal TB, the univariate analysis showed that the respective crude OR of signal cord change, notable Cobb angle, epidural abscess, and radiating pain were 3.78, 3.67, 2.47, and 1.32 (all p value <0.2). Again, the multivariate analysis showed that the adjusted OR for signal cord change was 3.68, p value = 0.005 and for notable Cobb angle was 2.57, p value = 0.048. These were very close to the crude OR and adjusted OR of all levels of the spinal TB (Tables 2 and 3). From this analysis of covariance, the level of spine involvement is not the factor affecting the results of the study. The data including all levels of the spine were used to keep larger sample size, power of the study, and generalizability.
All 77 neurological deficit patients received surgical decompression. However, the mean time before the operation was 3.8 days (ranged between 1 day and 9 days) depending on the referral time of each patient to tertiary referral hospital. Transportation time and finance still remain problems in developing countries. If the TB spine patients at risk for neurological deficit can be identified early, then the patients can be managed to prevent their neurological deterioration.
The frequency of neurological involvement has been found to vary across studies, from 23% to 76% of patients.4,2426 For laboratory investigations, the elevated ESR and CRP are recommended more than leukocytosis, which has proved less useful.27 Radiographic changes associated with TB spine include mainly the destruction of the vertebral end plates and vertebral body destruction, while some cases may have disc space narrowing in the late phase of the disease. These findings may not be visible on plain radiographs for up to 8 weeks.3,2830 An MRI provides earlier and better information about the spinal canal and spinal cord lesions. The typical MRI features of TB spine are that the involved vertebral body and vertebral end plate are severely damaged, with evidence of osteomyelitis, and the epidural space is affected by the extension of the paravertebral abscess or epidural abscess.3,31 Neural compression from spinal TB is gradual, so neural compression seen on MRI is not strictly associated with clinical neurological deficit.32 One study reported that age, level of spinal infection, vertebral body collapse, and abscess were associated with neurological deficit.12 Signal cord change on T2-weighted image is not correlated with synchronous neurological deficit,6 whereas another study reported that signal cord change on T2-weight image is associated with neurological deficit.32 Recently, Kumar33 pointed out that neurological status, back pain, back muscle spasm, diminished disc space, paradiscal vertebral endplate destruction, vertebral collapse, and Cobb angle were the factors associated with TB spine. We, therefore, integrated these mentioned clinical, laboratory, radiographic, and MRI findings as the possible risk factors for neurological deficit.
From the univariate OR, the risk factors for neurological deficit were the signal change of the spinal cord, notable Cobb angle, radiating pain, and epidural abscess. For the multivariate logistic regression analysis, we also included the literature-accepted risk factors of age and severe collapse.
From the adjusted OR, the notable Cobb angle and the signal cord change were the only statistically significant risk factors. These are the predictive factors identified from radiographic and MRI findings; these should be investigated in patients suspected of having spinal TB.
Compared to previous studies, Tan et al.7 found the ESR was the predictive factor for neurological deficit. In contrast to our study, the ESR was not found to be the predictive factor for neurological deficit. Our finding has corresponded well with the review article of Guerado and Cerván27 that the high ESR together with high-level CRP were useful laboratory findings for TB spine diagnosis (but not the risk factor for neurological deficit). Contrarily, Javed et al.34 found that the laboratory results of ESR and CRP had large SD and should not be considered as part of final criteria in TB spine diagnosis. Similar to the current study, ESR and CRP were not found to be the predictive factors for neurological deficit. Age is reported as the factor associated with the neurological deficit.12 Recently, Marais et al.35 compared patient who had TB spondylitis and those who had no bony involvement. They found that TB spondylitis patients had a significantly older age than the others. Neurological deficit was seen in similar proportion between these two groups. In line with our study, age was not found to be a significant predictive factor for the neurological deficit.
The limitation of the current study was the method of TB spine diagnosis as only the operated patients were diagnosed by tissue pathology, tissue culture, or tissue PCR, while the nonoperated patients had only a therapeutic diagnosis. Most of the limitation for tissue biopsy were patient’s rejection for this invasive procedure. The others were the time for the bacteriological culture which usually takes 4–6 weeks incubation period and against advice due to the risk of surgical complication. Once diagnosed the spinal TB, all patients were treated with the usual doses of anti-TB drugs composing the isoniazid, rifampicin, ethambutol, and pyrazinamide. Depending on the referral time to the hospital and the time to start the anti-TB drugs, some patients still developed neurological deterioration. For the control group of 48 individuals who were treated conservatively, the disease was healed as well after 12–18 months of anti-TB drugs. The diagnosis of spinal TB in this group was based on the endemic area of TB, clinical of night pain, constitutional symptoms, elevated ESR, elevated CRP, Roentgenographic findings compatible with spinal TB, and response to anti-TB drugs.36,37 For the operated patients, like the recent review, most of the operations in neurological deficit patients were anterior decompression, grafting, and posterior fixation, while tissue biopsy and abscess drainage were the most common operations in patients without neurological deficit.38 In the current study, we excluded urinary incontinence from the multivariate logistic regression model building because bladder incontinence can be categorized as a type of neurological deficit and it is not a risk factor predictive of neurological deficit.
The clinical application of this study is that spinal TB patients who present with normal neurological status with signal cord change have 3.31 times greater risk of developing neurological deficit than patients with no signal cord change. Similarly, the risk for neurological deficit was 2.62 times greater for patients with a notable Cobb angle than those <30° Cobb. Patients with radiating pain (p value <0.2 from the univariate analysis21 in Table 2) are 1.8 times more likely to develop neurological deficit than those who do not. So, in patients diagnosed with TB spondylitis with radiating pain, radiography and MRI are recommended. The recent study described that the severe kyphosis was associated with retropulsed bony and disc sequestration,39 while the signal cord change was the inflammatory spinal cord edema. Similar to the current study, if the patient has a notable Cobb angle together with signal cord change in MRI findings, a neurological deficit is likely, and the patient should be closely followed up or surgical treatment considered. If the surgery was chosen, we recommend both the decompressive and the corrective surgeries.
Based on the multivariate logistic regression model building, the predicted probability of developing neurological deficit can be calculated (Figure 2). For example, TB spine patient with signal cord change and notable Cobb angle has 80% of the probability of developing neurological deficit (exponential(0.8+1.20(1)+0.96(1))/[1+exponential(0.8+1.20(1)+0.96(1))]).
Figure 2. The formula to predict the probability of developing neurological deficit in spinal tuberculosis.
For the TB of lumbar spine below the spinal cord level, the main predictive factor is the Cobb angle. If the patient has a notable Cobb angle, then this patient has 54% of the probability of developing neurological (nerve root) deficit (exponential(0.8+1.20(0)+0.96(1))/[1+exponential(0.8+1.20(0)+0.96(1))]).

Conclusions

The predictive factors for neurological deficit in spinal TB are the signal change of the spinal cord on MRI finding and a notable Cobb angle. Neurological deficit is likely to occur in spinal TB patients who have both risk factors. Therefore, surgery should be considered for these patients. In patients who have both the notable Cobb angle and the signal cord change, decompressive and corrective surgery is recommended.

Acknowledgements

We would like to acknowledge Bryan Roderick Hamman for assistance with the English-language presentation of the manuscript under the aegis of the Publication Clinic, Research Affairs, Khon Kaen University, Thailand.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iD

References

1. World Health Organization. Global tuberculosis report 2016. Geneva: WHO Press, 2016.
2. Jain AK, Kumar J. Tuberculosis of spine: neurological deficit. Eur Spine J 2013; 22(suppl 4): S624–S633.
3. Al-Mulhim FA, Ibrahim EM, el-Hassan AY, et al. Magnetic resonance imaging of tuberculous spondylitis. Spine 1995; 20: 2287–2292.
4. Hayes AJ, Chokey M, Barnes N, et al. Spinal tuberculosis in developed countries: difficulties in diagnosis. J R Coll Surg Edinb 1996; 41: 192–196.
5. Jain AK, Sreenivasan R, Saini NS, et al. Magnetic resonance evaluation of tubercular lesion in spine. Int Orthop 2012; 36: 261–269.
6. Dunn R, Zondagh I, Candy S. Spinal tuberculosis: magnetic resonance imaging and neurological impairment. Spine 2011; 36: 469–473.
7. Tan SC, Harwant S, Selvakumar K, et al. Predictive factor in the evolution of neural deficit in tuberculosis of spine. Med J Malaysia 2001; 56: S46–S51.
8. Jain AK, Aggarwal A, Mehrotra G. Correlation of canal encroachment with neurological deficit in tuberculosis of the spine. Int Orthop 1999; 23: 85–86.
9. Jain AK, Jena A, Dhammi IK. Correlation of clinical course with magnetic resonance imaging in tuberculosis myelopathy. Neurol India 2000; 48: 132–139.
10. Garg RK, Somvanshi DS. Spinal tuberculosis: a review. J Spinal Cord Med 2011; 34: 440–454.
11. Rasouli MR, Mirkoohi M, Vaccaro AR, et al. Spinal tuberculosis: diagnosis and management. Asian Spine J 2012; 6: 294–308.
12. Subhadrabanhu T, Laohacharoensombat W, Keorochana S. Risk factors for neural deficit in spinal tuberculosis. J Med Assoc Thai 1992; 75: 453–461.
13. Porto AB, Okazaki VHA. Thoracic kyphosis and lumbar lordosis assessment by radiography and photogrammetry: a review of normative values and reliability. J Manipulative Physiol Ther 2018; 41: 712–723.
14. Kwon SE, Shin JH, Na KH, et al. Kyphotic angle progression of thoracic and thoracolumbar tuberculous spondylitis after surgical treatment: comparison with predicted kyphosis outcome after conservative treatment. Asian Spine J 2009; 3: 80–88.
15. Rajasekaran S. Kyphotic deformity in spinal tuberculosis and its management. Int Orthop 2012; 36: 359–365.
16. Cao G, Rao J, Cai Y, et al. Analysis of treatment and prognosis of 863 patients with spinal tuberculosis in Guizhou Province. Biomed Res Int 2018; 3265735: 1–8.
17. McAviney J, Schulz D, Bock R, et al. Determining the relationship between cervical lordosis and neck complaints. J Manipulat Physiol Ther 2005; 28: 187–193.
18. Shetty AP, Bosco A, Rajasekaran S, et al. Does preserving or restoring lumbar lordosis have an impact on functional outcomes in tuberculosis of the lumbosacral region? Spine Deform 2019; 7: 353–363.
19. Murrie VL, Dixon AK, Hollingworth W, et al. Lumbar lordosis: study of patients with and without low back pain. Clin Anat 2003; 16: 144–147.
20. Hsieh FY. Sample size tables for logistic regression. Stat Med 1989; 8: 795–802.
21. Budtz-Jørgensen E, Keiding N, Grandjean P, et al. Confounder selection in environmental epidemiology: assessment of health effects of prenatal mercury exposure. Ann Epidemiol 2007; 17: 27–35.
22. Faul F, Erdfelder E, Lang A-G, et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007; 39: 175–191.
23. MRC working party on tuberculosis of the Spine. A15-year assessment of controlled trials of the management of tuberculosis of the spine in Korea and Hong Kong. J Bone Joint Surg Br 1998; 80: 456–462.
24. Azzam NI, Tammawy M. Tuberculosis spondylitis in adults: diagnosis and treatment. Br J Neurosurg 1988; 2: 85–91.
25. Jain R, Sawhney S, Berry M. Computed tomography of vertebral tuberculosis: patterns of bone destruction. Clin Radiol 1993; 47: 196–199.
26. Nussbaum ES, Rockwold GL, Bergman TA, et al. Spinaltuberculosis: a diagnostic and management challenge. J Neuro Surg 1995; 83: 243–247.
27. Guerado E, Cerván AM. Surgical treatment of spondylodiscitis: an update. Int Orthop 2012; 36: 413–420.
28. Mauri F, Laconetta G, Gallicchio B, et al. Spondylitis: clinical and magnetic resonance diagnosis. Spine 1997; 22: 1741–1746.
29. Ridley N, Shaikh MI, Remedios D, et al. Radiology of skeletal tuberculosis. Orthopedics 1998; 21: 1213–1220.
30. Naim-Ur-Rahman, Jamjoom A, Jamjoom ZA, et al. Neural arch tuberculosis: radiologic features and their correlation with surgical findings. Br J Neurosurg 1997; 11: 32–38.
31. Sharif HS, Clarck DC, Aabed MY, et al. Granulomatous spinal infections: MR imaging. Radiology 1990; 177: 101–107.
32. Jain AK. Tuberculosis of spine: research evidence to treatment guidelines. Indian J Orthop 2016; 50: 3–9.
33. Kumar K. Spinal tuberculosis, natural history of disease, classifications and principles of management with historical perspective. Eur J Orthop Surg Traumatol 2016; 26: 551–558.
34. Javed G, Laghari AA, Ahmed SI, et al. Development of criteria highly suggestive of spinal tuberculosis. World Neurosurg 2018; 116: E1002–E1006.
35. Marais S, Roos I, Mitha A, et al. Spinal tuberculosis: clinicoradiological findings in 274 patients. Clin Infect Dis 2018; 67: 89–98.
36. Alavi SM, Sharifi M. Tuberculous spondylitis: risk factors and clinical/paraclinical aspects in the south west of Iran. J Infect Public Health 2010; 3: 196–200.
37. Ellner JJ. Tuberculosis. In: Goldman L, Schafer AI (eds) Goldman-Cecil Medicine. 25th ed. Philadelphia: Elsevier Saunders, 2016, pp. 2030–2039.
38. Kandwal P, Vijayaraghavan G, Jayaswal A. Management of tuberculous infection of the spine. Asian Spine J 2016; 10: 792–800.
39. Kilborn T, Janse van Rensburg P, Candy S. Pediatric and adult spinal tuberculosis: imaging and pathophysiology. Neuroimaging Clin N Am 2015; 25: 209–231.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: August 26, 2019
Issue published: September-December 2019

Keywords

  1. paralysis
  2. risk factors
  3. spine
  4. tuberculosis

Rights and permissions

© The Author(s) 2019.
Creative Commons License (CC BY-NC 4.0)
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Request permissions for this article.
PubMed: 31451078

Authors

Affiliations

Surachai Sae-Jung
Department of Orthopaedics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
Nattamon Wongba
Department of Orthopaedics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
Kriwut Leurmprasert
Department of Orthopaedics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand

Notes

Surachai Sae-Jung, Department of Orthopaedics, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand. Email: [email protected]

Author contributions

All authors designed the protocol. Kriwut Leurmprasert and Nattamon Wongba collected the data. Surachai Sae-Jung supervised the study and analyzed the data. All authors participated in the manuscript preparation.

Metrics and citations

Metrics

Journals metrics

This article was published in Journal of Orthopaedic Surgery.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 1846

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 10 view articles Opens in new tab

Crossref: 7

  1. Predictive Factors for Late-Onset Neurological Deficits in Patients wi...
    Go to citation Crossref Google Scholar
  2. Comparison of Clinical Data Between Patients With Complications and Wi...
    Go to citation Crossref Google Scholar
  3. Clinical Features and Outcomes of Spinal Tuberculosis in Central China
    Go to citation Crossref Google Scholar
  4. A diagnostic tool for people with lumbar instability: a criterion-rela...
    Go to citation Crossref Google Scholar
  5. Cervical spine TB – Current concepts in management
    Go to citation Crossref Google ScholarPub Med
  6. THE PROFILE OF POTT’S DISEASE IN A SOUTH AMERICAN REFERENCE SERVICE
    Go to citation Crossref Google Scholar
  7. Predicting neurological deficit in patients with spinal tuberculosis –...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

View options

PDF/ePub

View PDF/ePub

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Access journal content via a DeepDyve subscription or find out more about this option.