Literature DB >> 29564362

Epidemiology, Microbiological Diagnosis, and Clinical Outcomes in Pyogenic Vertebral Osteomyelitis: A 10-year Retrospective Cohort Study.

Brian S W Chong1, Christopher J Brereton1,2, Alexander Gordon1, Joshua S Davis1,2,3.   

Abstract

BACKGROUND: Pyogenic vertebral osteomyelitis (PVO) is rising in incidence, but optimal methods of investigation and duration of antibiotic therapy remain controversial.
METHODS: We conducted a single-center retrospective cohort study of PVO at an Australian teaching hospital. We included all adults with a first episode of PVO between 2006 and 2015. PVO was defined based on the presence of prespecified clinical and radiological criteria. The main exposures of interest were investigation strategy and antibiotic treatment. The main outcome measures were duration of hospital admission, mortality during index admission, symptom resolution during index admission, and attributable readmission within 2 years.
RESULTS: Of 129 included patients, 101 (78%) had a causative organism identified. Patients with an identified pathogen were more likely to be febrile (75% compared with 29%, P < .001) and had a higher mean admission C-reactive protein (207 vs 54, P < .001) compared with patients without an identified pathogen. However, they were less likely to experience an adverse outcome (death or attributable readmission within 2 years; adjusted odds ratio, 0.36; 95% confidence interval, 0.13-0.99; P = .04). Open biopsy of vertebral tissue had a higher diagnostic yield (70%) than fine needle aspirate (41%) or core biopsy (30%). Despite receiving a median of 6 weeks of intravenous antibiotics, only 15% of patients had a full recovery on discharge from index admission.
CONCLUSIONS: Clinical outcomes for patients with PVO were poor. Obtaining a microbiological diagnosis is associated with a better outcome. However, prospective and randomized studies are essential to establishing optimal investigation and treatment pathways.

Entities:  

Keywords:  antibiotic treatment; diagnosis; discitis; vertebral osteomyelitis

Year:  2018        PMID: 29564362      PMCID: PMC5846292          DOI: 10.1093/ofid/ofy037

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   3.835


Pyogenic vertebral osteomyelitis (PVO) presents significant diagnostic and therapeutic challenges, and its incidence appears to be gradually rising [1]. Clinical outcomes are frequently poor despite surgery and prolonged antibiotic treatment [2, 3]. The optimal duration of antibiotic treatment in patients with PVO remains controversial. Bernard et al. showed that 6 weeks of treatment was not inferior to 12 weeks of treatment [4]. Conversely, Park et al. subsequently found that a longer (≥8-week) course of antibiotic treatment reduced the rate of relapse in patients with certain high-risk characteristics [5]. Furthermore, the ideal diagnostic strategy is unclear. Some patients do not have a pathogen identified despite extensive investigation and receive a prolonged course of broad-spectrum empirical antibiotic therapy, with implications for antimicrobial stewardship. Several previous studies have shown similar outcomes in patients who have culture-negative PVO compared with patients with microbiologically confirmed PVO [6, 7]. Despite the growing incidence of PVO and significant morbidity, there is a paucity of data from Australia. The goal of this study was to describe the current epidemiology, microbiology, and clinical outcomes of PVO in an Australian setting. We also aimed to explore the difference in outcomes for patients with directed vs empirical antimicrobial therapy.

METHODS

Study Design and Data Collection

We performed a retrospective, single-center observational study of PVO in a 650-bed Australian university teaching hospital. The study was approved by the local human research ethics committee (New South Wales Human Research Ethics Committee LNR approval number 15/12/16/5.06). We identified patients with discharge coding for vertebral osteomyelitis, spondylodiscitis, disc infection, and epidural abscess (ICD-9-CM codes 324.1, 324.9, 730.28, 730.08, 730.2, 730.00, and 722.90–722.93) from January 2006 to December 2015. We then applied prespecified inclusion and exclusion criteria, which are listed later in this section. We reviewed the medical records and pathology results for all included patients. We also reviewed radiology reports from 14 days prior to index admission until discharge. We recorded all intravenous and oral antibiotics administered for more than 24 hours, from 7 days before the index admission until 2 years after. Vertebral aspirates and biopsy samples are routinely processed by our clinical microbiology laboratory as follows: each specimen is Gram stained, then plated out onto blood, chocolate, MacConkey, and Columbia CNA solid agar, as well as thioglycolate broth. They are incubated in aerobic and anaerobic conditions for 5 days. Any bacteria that grow are identified using MALDI-TOF Bruker Biotyper (Bruker Daltonik, Germany) and Vitek 2 (bioMerieux, France). Outcome measures were duration of index admission, mortality during index admission, symptom resolution upon discharge (we recorded the presence of fever, back pain, vertebral tenderness, limb weakness, sensory change, incontinence, and urinary retention), and attributable readmission within the next 2 years. We collected data using purpose-built paper case report forms and collated data into a Microsoft Access (2016 version) database.

Inclusion and Exclusion Criteria

Inclusion criteria were all of the following: (a) age 18 years or older; (b) radiological evidence of vertebral osteomyelitis on magnetic resonance imaging, computed tomography, or nuclear medicine scan as reported by a specialist radiologist; and (c) clinical evidence of vertebral osteomyelitis (2 or more of back pain, leg weakness, vertebral tenderness, and fever). Exclusion criteria were any of: (a) contiguous osteomyelitis due to surgical site infection, wounds, or trauma; (b) index admission notes not available; (c) suspected or proven tuberculous vertebral osteomyelitis; (d) confirmation of alternative diagnosis to account for clinical and radiological features (eg, myeloma).

Definitions

If a patient was admitted more than once, the first admission within any 2-year period was considered the index admission. We determined a causative organism for each patient by reviewing blood and vertebral biopsy culture results. Organisms grown from other sites such as urine were disregarded. If these cultures were positive for more than 1 organism without an alternative explanation (eg, line sepsis), we recorded the patient as having a mixed infection. Organisms of low pathogenicity (eg, coagulase-negative Staphylococci and Corynebacterium) were disregarded unless they were isolated on more than 1 set of blood cultures or were the only organisms isolated on vertebral culture. We defined an “adverse outcome” as either mortality during index admission or readmission attributable to PVO within 2 years. Immunosuppression was defined as the receipt of any of the following within the 3 months prior to admission: prednisone ≥0.5mg/kg/d for more than 14 days, cyclosporine, tacrolimus, sirolimus, azathioprine, mycophenolate, leflunomide, methotrexate, cyclophosphamide, monoclonal antibodies, cancer chemotherapy, or bone marrow transplant.

Statistical Analysis

Normally distributed variables were compared using the Student t test, non-normal variables with the Mann-Whitney U test, and categorical variables were compared using chi-square tests. Logistic regression models were built with “adverse outcome” as the dependent variable and candidate covariates as the independent variables. Each variable was run in a univariate model, and those with a Wald P value of <.10 or that were judged to be clinically important were included in a multivariable model. We used Stata version 14 (Statacorp, College Station, TX) for statistical analysis. P values <.05 were considered significant.

RESULTS

From January 2006 to December 2015, 467 patients were admitted with a compatible discharge diagnosis. Of these, we identified 129 patients for inclusion in the study (Figure 1). Eighty-eight (68%) patients were male, and the mean age (range) was 61 (18–92) years; 101 (78%) patients had an organism identified, and 28 did not. The 2 groups were well matched with regards to baseline demographics, apart from the presence of iatrogenic immunosuppression (Table 1). With regards to clinical features on presentation and initial investigations, patients who had an organism identified were much more likely to be febrile (75% vs 29%, P < .001) and had a higher C-reactive protein on admission (207 vs 54, P < .001), but the 2 groups were otherwise similar. Of the 28 patients with no causative organism identified, histology was only available for 5; of these, 3 showed chronic inflammation, 1 showed acute inflammation, and 1 was nondiagnostic.
Figure 1.

Recruitment flowchart. a“Index admission” refers to the first admission, within a 2-year period, where the diagnosis of pyogenic vertebral osteomyelitis was established.

Table 1.

Demographics, Comorbidities, Presenting Features, Management, and Outcomes of Pyogenic Vertebral Osteomyelitis Among 129 Adult Patients Admitted to a Teaching Hospital in Australia from 2006 to 2015, Divided According to Whether an Organism was Identified

No Organism Identified (n = 28)Organism Identified(n = 101) P
Demographics and comorbidities
 Male sex, No. (%)18 (64)70 (69)NS
 Age, mean (SD), y58 (17)62 (15)NS
 Diabetes, No. (%)7 (25)24 (24)NS
 Chronic renal disease, No. (%)0 (0)7 (7)NS
 Intravenous drug user, No. (%)4 (14)9 (9)NS
 Chronic liver disease, No. (%)0 (0)4 (4)NS
 Immunosuppression, No. (%)3 (11)2 (2).03
 Malignancy, No. (%)1 (4)4 (4)NS
Clinical features at presentation, No. (%)
 Fever8 (29)76 (75)<.001
 Back pain27 (96)101 (100)NS
 Vertebral tenderness16 (57)41 (41)NS
 Limb weakness8 (29)36 (36)NS
 Urinary retention2 (7)11 (11)NS
Investigations
 Admission C-reactive protein, median (IQR), mg/dL54 (19–108)207 (120–272)<.001
 Vertebral samples taken, No. (%)15 (54)42 (42)NS
 Blood cultures taken, No. (%)25 (89)99 (99)NS
Treatment
 Antibiotics commenced prior to admission, No. (%)2 (7)10 (10)NS
 Duration of IV antibiotics, median (IQR), d42 (39–47)43 (42–49)NS
 Duration of PO antibiotics, median (IQR), d42 (37–100)42 (35–84)NS
 Surgical intervention, No. (%)7 (25)40 (40)NS
Outcomes
 Hospital mortality, No. (%)1 (4)4 (4)NS
 1-y mortality, No. (%)1 (4)10 (10)NS
 Length of index admission, median (IQR), d44 (25–50)43 (27–51)NS
 Attributable readmission within 2 y, No. (%)8 (28)15 (15).11
 C-reactive protein, median (IQR) at discharge, mg/dL12 (6–31)23 (9–53)NS
 Complete recovery at discharge, No. (%)4 (14)15 (15)NS
 Back pain at discharge, No. (%)22 (79)79 (78)NS
 Vertebral tenderness at discharge, No. (%)0 (0)5 (5)NS
 Limb weakness at discharge, No. (%)3 (11)26 (26)NS
 Incontinence at discharge, No. (%)2 (7)6 (6)NS

For statistical analysis, normally distributed variables were compared using the Student t test, non-normal variables with the Mann-Whitney U test, and categorical variables with the chi-square test.

Abbreviations: IQR, interquartile range; IV, intravenous; PO, per os.

Demographics, Comorbidities, Presenting Features, Management, and Outcomes of Pyogenic Vertebral Osteomyelitis Among 129 Adult Patients Admitted to a Teaching Hospital in Australia from 2006 to 2015, Divided According to Whether an Organism was Identified For statistical analysis, normally distributed variables were compared using the Student t test, non-normal variables with the Mann-Whitney U test, and categorical variables with the chi-square test. Abbreviations: IQR, interquartile range; IV, intravenous; PO, per os. Recruitment flowchart. a“Index admission” refers to the first admission, within a 2-year period, where the diagnosis of pyogenic vertebral osteomyelitis was established. One hundred twenty-four (96%) patients had blood cultures collected at some point between 14 days prior to index admission and discharge. Blood cultures were positive in 83 (67%) of these patients. Vertebral samples were collected for 57 (44%) patients. Open biopsy had a significantly higher yield than either FNA or core (Table 3). 16s RNA polymerase chain reaction (PCR) on vertebral samples was nondiagnostic in all 5 patients in whom it was done.
Table 3.

Diagnostic Yield of Different Vertebral Biopsy Methodsa

MethodDiagnostic Yield (%)
Open biopsy21 of 30 (70)
Fine needle aspirate7 of 17 (41)
Core biopsy3 of 10 (30)

P values: open vs FNAB P = .05; open vs core P = .02; FNAB vs core P = .56.

aNot mutually exclusive.

Of the 101 patients with an identified organism, methicillin-sensitive Staphylococcus aureus was the most prevalent (Table 2), and 88 (87%) patients had a Gram-positive organism.
Table 2.

Details of Pathogens Identified (n = 101)

PathogenNo.a
Gram-positive88
Staphylococcus aureus
  Methicillin-sensitive63
  Methicillin-resistant3
 Coagulase-negative Staphylococcus2
 Viridans group Streptococcus5
 Beta-hemolytic Streptococcus4
 Milleri group Streptococcus4
Streptococcus pneumoniae2
Enterococcus sp.2
Bacillus sp.1
Peptostreptococcus sp.1
Propionibacterium sp.1
Gram-negative7
Escherichia sp.3
Burkholderia sp.1
Fusobacterium sp.1
Klebsiella sp.1
Serratia sp.1
More than 1 organism identifiedb6

aAs n = 101, No. is roughly equal to the percentage of each organism.

bPathogens identified are as follows: patient 1 – Beta-hemolytic Streptococcus + milleri group Streptococcus; patient 2 – Escherichia coli + milleri group Streptococcus; patient 3 – Corynebacterium sp. + coagulase-negative Staphylococcus; patient 4 – methicillin-sensitive Staphylococcus aureus + beta-hemolytic Streptococcus; patient 5 – Klebsiella sp. + gram-positive cocci (unidentified); patient 6 – Escherichia sp. + Bacteroides sp. + Pseudomonas sp.

Details of Pathogens Identified (n = 101) aAs n = 101, No. is roughly equal to the percentage of each organism. bPathogens identified are as follows: patient 1 – Beta-hemolytic Streptococcus + milleri group Streptococcus; patient 2 – Escherichia coli + milleri group Streptococcus; patient 3 – Corynebacterium sp. + coagulase-negative Staphylococcus; patient 4 – methicillin-sensitive Staphylococcus aureus + beta-hemolytic Streptococcus; patient 5 – Klebsiella sp. + gram-positive cocci (unidentified); patient 6 – Escherichia sp. + Bacteroides sp. + Pseudomonas sp. Diagnostic Yield of Different Vertebral Biopsy Methodsa P values: open vs FNAB P = .05; open vs core P = .02; FNAB vs core P = .56. aNot mutually exclusive. Overall outcomes were poor regardless of whether an organism was identified (Table 1). Despite receiving a median of 43 days of intravenous antibiotics, only 15% of patients had complete recovery on discharge, and 78% of patients had ongoing back pain. Those with no organism identified had a nonsignificant trend to an increased risk of attributable readmission (28% vs 15%, P = .11). On univariate analysis (Table 4), the predictors of an adverse outcome were limb weakness on presentation (odds ratio [OR], 2.9; 95% confidence interval [CI], 1.21–6.76; P < .05) and requiring a therapeutic intervention (OR, 2.66; 95% CI, 1.27–7.11; P < .05). Therapeutic interventions included drainage of epidural or paraspinal abscesses, laminectomy, vertebrectomy, and spinal fusion. On multivariate analysis, patients requiring a therapeutic intervention were more likely to have an adverse outcome (adjusted OR [aOR], 2.78; 95% CI, 0.01–7.01; P = .04), whereas having a pathogen identified was associated with a better outcome (aOR, 0.36; 95% CI, 0.13–0.99; P = .04).
Table 4.

Predictors of an Adverse Outcomea on Univariate and Multivariate Analysis

VariableOR (95% CI)aOR (95% CI)
Male sex0.56 (0.23–1.31)
Age, per y of age1.005 (0.977–1.032)
Diabetes1.08 (0.41–2.86)
Chronic renal disease1.49 (0.27–8.13)
IVDU0.64 (0.13–3.05)
Immunosuppression0.91 (0.10–8.45)
Limb weakness at presentation2.9 (1.21–6.76), P < .052.2 (0.84–5.65), P = .10
Sensory loss at presentation0.84 (0.29–2.47)
Urinary incontinence2.53 (0.76–8.44)
Urinary retention0.58 (0.12–2.74)
Required therapeutic intervention2.66 (1.27–7.11), P < .052.78 (1.01–7.01), P = .04
Back pain on discharge0.61 (0.11–3.37)
Causative organism identified0.48 (0.19–1.24)0.36 (0.13–0.99), P = .04
IV antibiotic duration, per d0.99 (0.96–1.02)
IV antibiotic duration >4 wk0.62 (0.20–1.94)
Baseline C-reactive protein, per mg/dL1.001 (0.997–1.004)
Discharge C-reactive protein, per mg/dL1.003 (0.994–1.012)
Staphylococcus aureus as causative organism0.62 (0.26–1.43)

Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; IV, intravenous; IVDU, intravenous drug user; OR, odds ratio.

aAdverse outcome was defined as mortality during index admission or attributable readmission within 2 years.

Predictors of an Adverse Outcomea on Univariate and Multivariate Analysis Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; IV, intravenous; IVDU, intravenous drug user; OR, odds ratio. aAdverse outcome was defined as mortality during index admission or attributable readmission within 2 years.

DISCUSSION

Main Findings

In this retrospective, single-center study of PVO, we found a predominance of Gram-positive pathogens (mainly methicillin-sensitive Staphylococcus aureus), prolonged antibiotic treatment, and poor clinical outcomes regardless of whether a pathogen was identified. Furthermore, patients who did not have a pathogen identified were at increased risk of an adverse outcome.

Comparison with Literature

To the authors’ knowledge, this cohort study is the largest of its kind in an Australian setting, and 6 times larger than the only other Australian study on vertebral osteomyelitis [8]. In addition, our cohort size and demographics are similar to current international publications [3, 5, 9–13]. In keeping with the literature, the majority of our patients were elderly males [14]. Back pain was a nearly universal presenting feature [14], and blood cultures were positive in roughly two-thirds of cases [5, 15]. Methicillin-sensitive S. aureus was the most common pathogen [15, 16]. Compared with previous studies, we found a lower rate of methicillin-resistant S. aureus in our cohort [5, 9, 10]. Our patients received a median of 6 weeks of intravenous antibiotics, followed by 6 weeks of oral antibiotics. Bernard et al. reported in 2015 on the noninferiority of a 6-week antibiotic regimen compared with a 12-week regimen [4]. In their study, patients received a median of 2 weeks of intravenous antibiotics. It is worth noting that French antibiotic guidelines advocate for the highly bioavailable combination of rifampicin and fluoroquinolones when practical, whereas Australian guidelines do not [17].

Implications of Findings

Patients who ended up having an organism identified were more likely to be febrile (75% vs 29%, P < .001) and had a higher C-reactive protein count on presentation (207 vs 54, P < .001). There are several possible explanations for this finding. The first is that patients who did not have an organism identified had low-grade infection, or infection with fastidious organisms that were not identified on routine culture. 16s RNA PCR was not utilized to a significant extent in this subgroup, but it is more likely to be requested for current and future cases. In our cohort, none of the 5 samples that did have 16s RNA PCR requested were positive. The second possibility is that patients who did not have an organism identified did not, in fact, have vertebral osteomyelitis despite meeting clinical and radiological criteria. They could have had noninfectious etiologies such as malignancy, reactive osteitis, or stress injuries. This highlights the difficulty in making a definite diagnosis in some cases. Prior use of antibiotics is unlikely to explain the lack of a microbiological diagnosis in some patients as only 7% of these patients had received antibiotics in the 7 days prior to hospital admission, compared with 10% in the group where a causative organism was identified. With regards to the various vertebral sampling methods, open biopsy had the highest yield (70% compared with 41% for fine needle aspirate and 30% for core biopsy). This is likely explained by the larger sample obtained by an open method compared with a radiology-guided biopsy, but also could be due to the fact that open biopsy samples were usually collected during a therapeutic intervention, and these patients were more likely to have a severe bacterial infection. Vertebral osteomyelitis is a costly and morbid disease. Regardless of whether there was an organism identified, patients received a median of 42 days of intravenous antibiotics, either in the hospital or via the community antibiotic infusion program. The median duration of hospital admission was 43 days, and only 15% of patients were completely cured at the time of discharge. Having an organism identified did appear to be protective. There are several possible explanations for this finding. First, patients with a microbiological diagnosis may have benefited from targeted antibiotic therapy, and this may have led to a better outcome. Another possibility is that patients without a microbiological diagnosis had an indolent course prior to admission. This is supported by our finding that patients without a microbiological diagnosis were less likely to be febrile and had lower mean C-reactive proteins on admission. Patients with a chronic infection would, by definition, have a more protracted recovery course and therefore have poorer outcomes according to our study definition. Finally, patients without a microbiological diagnosis may not have had an infection, and therefore would not have improved with antibiotic treatment. Our results differ to those of earlier studies, which found that patients with culture-negative PVO had equal or better outcomes compared with those with microbiologically confirmed PVO [6, 7]. One possible explanation for this disparity is differing definitions for failure between studies. Earlier research defined treatment failure as death, clinical relapse, or microbiological relapse, whereas we defined an adverse outcome as either death or attributable readmission within 2 years. This definition was intentionally broad and thus aimed to include patients who did not have definite relapse but required readmission for pain management, persistent disability, or repeat investigation, encompassing a more realistic representation of the overall impact of PVO to the patient and the health system. Current Australian [17] and American [18] guidelines recommend intravenous vancomycin and a third- or fourth-generation cephalosporin for the empirical treatment of vertebral osteomyelitis. In our institution, flucloxacillin would provide adequate cover for 78% of patients who ultimately ended up having a pathogen identified. This has an implication for future antibiotic guidelines and antimicrobial stewardship, as we may be able to avoid unnecessarily broad-spectrum empirical treatment.

Strengths and Limitations

Our study describes the largest cohort of vertebral osteomyelitis cases in Australia [8]. A high proportion of patients had complete data available, as we have excluded patients with insufficient records from our study. This study is limited by its observational and retrospective design and thus can’t account for potential unmeasured confounders. In addition, this is a single-center study, and hence both local microbial patterns and clinical practice may vary in other regions. Importantly, however, both local microbial epidemiology and practice are consistent with national and international evidence [17] and therefore reflective of standard practice in Australia.

Conclusions and Future Directions

Vertebral osteomyelitis is a common and potentially devastating infection with a significant burden of attributable morbidity [10], but there is little high-level evidence to guide investigation and management. Our findings highlight the importance of making every possible effort to identify a causative organism and avoiding empirical treatment if possible. More evidence is needed to clarify the optimal duration of antibiotic treatment. This study highlights the significant morbidity for patients with vertebral osteomyelitis in Australia and adds further weight to the importance of obtaining a microbiological diagnosis with which to guide treatment [4, 5]. Prospective and randomised trials are needed to strengthen the evidence base for this common infection.
  17 in total

1.  Optimal Duration of Antibiotic Therapy in Patients With Hematogenous Vertebral Osteomyelitis at Low Risk and High Risk of Recurrence.

Authors:  Ki-Ho Park; Oh-Hyun Cho; Jung Hee Lee; Ji Seon Park; Kyung Nam Ryu; Seong Yeon Park; Yu-Mi Lee; Yong Pil Chong; Sung-Han Kim; Sang-Oh Lee; Sang-Ho Choi; In-Gyu Bae; Yang Soo Kim; Jun Hee Woo; Mi Suk Lee
Journal:  Clin Infect Dis       Date:  2016-02-24       Impact factor: 9.079

2.  Changing trends in the epidemiology of pyogenic vertebral osteomyelitis: the impact of cases with no microbiologic diagnosis.

Authors:  Jaime Lora-Tamayo; Gorane Euba; José A Narváez; Oscar Murillo; Ricard Verdaguer; Beatriz Sobrino; Javier Narváez; Joan M Nolla; Javier Ariza
Journal:  Semin Arthritis Rheum       Date:  2011-06-12       Impact factor: 5.532

3.  Vertebral osteomyelitis: long-term outcome for 253 patients from 7 Cleveland-area hospitals.

Authors:  Martin C McHenry; Kirk A Easley; Geri A Locker
Journal:  Clin Infect Dis       Date:  2002-04-22       Impact factor: 9.079

4.  Antibiotic treatment for 6 weeks versus 12 weeks in patients with pyogenic vertebral osteomyelitis: an open-label, non-inferiority, randomised, controlled trial.

Authors:  Louis Bernard; Aurélien Dinh; Idir Ghout; David Simo; Valerie Zeller; Bertrand Issartel; Vincent Le Moing; Nadia Belmatoug; Philippe Lesprit; Jean-Pierre Bru; Audrey Therby; Damien Bouhour; Eric Dénes; Alexa Debard; Catherine Chirouze; Karine Fèvre; Michel Dupon; Philippe Aegerter; Denis Mulleman
Journal:  Lancet       Date:  2014-11-05       Impact factor: 79.321

5.  The epidemiology of hematogenous vertebral osteomyelitis: a cohort study in a tertiary care hospital.

Authors:  Kavita P Bhavan; Jonas Marschall; Margaret A Olsen; Victoria J Fraser; Neill M Wright; David K Warren
Journal:  BMC Infect Dis       Date:  2010-06-07       Impact factor: 3.090

6.  Epidemiology of acute vertebral osteomyelitis in Denmark: 137 cases in Denmark 1978-1982, compared to cases reported to the National Patient Register 1991-1993.

Authors:  M R Krogsgaard; P Wagn; J Bengtsson
Journal:  Acta Orthop Scand       Date:  1998-10

7.  Neurologic Complications, Reoperation, and Clinical Outcomes After Surgery for Vertebral Osteomyelitis.

Authors:  Jacob A Miller; Rebecca L Achey; Adeeb Derakhshan; Daniel Lubelski; Edward C Benzel; Thomas E Mroz
Journal:  Spine (Phila Pa 1976)       Date:  2016-02       Impact factor: 3.468

8.  Pyogenic vertebral osteomyelitis: analysis of 20 cases and review.

Authors:  A J Torda; T Gottlieb; R Bradbury
Journal:  Clin Infect Dis       Date:  1995-02       Impact factor: 9.079

Review 9.  Pyogenic Vertebral Osteomyelitis: Clinical Features, Diagnosis, and Treatment.

Authors:  Ji-Woong Kwon; Seung-Jae Hyun; Sang-Hyun Han; Ki-Jeong Kim; Tae-Ahn Jahng
Journal:  Korean J Spine       Date:  2017-06-30

10.  Characteristics of and risk factors for severe neurological deficit in patients with pyogenic vertebral osteomyelitis: A case-control study.

Authors:  Adrien Lemaignen; Idir Ghout; Aurélien Dinh; Guillaume Gras; Bruno Fantin; Virginie Zarrouk; Robert Carlier; Jean-Edouard Loret; Eric Denes; Alix Greder; François-Xavier Lescure; David Boutoille; Pierre Tattevin; Bertrand Issartel; Jean-Philippe Cottier; Louis Bernard
Journal:  Medicine (Baltimore)       Date:  2017-05       Impact factor: 1.889

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Journal:  J Clin Orthop Trauma       Date:  2019-07-11

2.  Studies on 11 Cases of Spinal Epidural Abscess and Literature Review.

Authors:  Guohua Dai; Shuzhong Li; Chuqiang Yin; Yuanliang Sun; Derong Xu; Zhongying Wang; Liangrui Luan; Jianwen Hou; Ting Wang
Journal:  Infect Drug Resist       Date:  2020-09-29       Impact factor: 4.003

3.  Selection of an appropriate empiric antibiotic regimen in hematogenous vertebral osteomyelitis.

Authors:  Ki-Ho Park; Dong Youn Kim; Yu-Mi Lee; Mi Suk Lee; Kyung-Chung Kang; Jung-Hee Lee; Seong Yeon Park; Chisook Moon; Yong Pil Chong; Sung-Han Kim; Sang-Oh Lee; Sang-Ho Choi; Yang Soo Kim; Jun Hee Woo; Byung-Han Ryu; In-Gyu Bae; Oh-Hyun Cho
Journal:  PLoS One       Date:  2019-02-08       Impact factor: 3.240

4.  Pyogenic Vertebral Column Osteomyelitis in Adults: Analysis of Risk Factors for 30-Day and 1-Year Mortality in a Single Center Cohort Study.

Authors:  Jeevan Vettivel; Cole Bortz; Peter Gust Passias; Joseph Frederick Baker
Journal:  Asian Spine J       Date:  2019-03-15

5.  Microbial Etiology of Pyogenic Vertebral Osteomyelitis According to Patient Characteristics.

Authors:  Dong Youn Kim; Uh Jin Kim; Yohan Yu; Seong-Eun Kim; Seung-Ji Kang; Kang-Il Jun; Chang Kyung Kang; Kyoung-Ho Song; Pyoeng Gyun Choe; Eu Suk Kim; Hong Bin Kim; Hee-Chang Jang; Sook In Jung; Myoung-Don Oh; Kyung-Hwa Park; Nam Joong Kim
Journal:  Open Forum Infect Dis       Date:  2020-05-20       Impact factor: 3.835

6.  Radiographic Features Associated With Increased Surgical Invasiveness in Pyogenic Vertebral Column Osteomyelitis.

Authors:  Tangi Purea; Jeevan Vettivel; Lyn Hunt; Peter G Passias; Joseph F Baker
Journal:  Global Spine J       Date:  2020-06-09
  6 in total

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