Introduction: The myriad presentation of osteoarticular brucellosis make the patient seek the help of general practitioners, orthopaedic and rheumatology specialists. Moreover, the lack of disease-specific symptomatology is the leading cause of the delay in diagnosing osteoarticular brucellosis. Given the increasing number of spinal brucellosis cases across the country, no literature is presented on the systematic management of spinal brucellosis. However, with our experience, we formulated a classification for managing spinal brucellosis.
Methods: A single-centred prospective observational study was conducted with 25 confirmed cases of spinal brucellosis. Patients were analysed and graded clinically, serologically, and radiologically and were managed with antibiotics for 10-12 weeks, and if necessary, stabilisation and fusion were done based on the treatment classification devised. All patients were followed up to ensure disease clearance at serial follow-up with relevant investigations.
Results: The mean age of the study participants was 52.16 ± 12.53 years. According to spondylodiscitis severity code (SSC) grading, four patients belong to grades 1, 12 to grade 2 and 9 to grade 3 at presentation. Erythrocyte sedimentation rate (p = 0.02), c-reactive protein (p < 0.001), Brucella agglutination titers (p < 0.001), and radiological outcomes improved statistically by six months. The treatment duration was individualised according to the patient's response to the treatment, with a mean time of 11.42 ± 2.66 weeks. The mean follow-up period was 14.42 ± 8 months.
Conclusion: High index of suspicion of patients from endemic regions, proper clinical assessment, serological evaluation, radiological assessment, appropriate decision-making (medical/surgical) in treatment, and regular follow-up were the key to successful comprehensive management of spinal brucellosis.
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http://dx.doi.org/10.1016/j.tmaid.2023.102614 | DOI Listing |
Infect Drug Resist
December 2024
Department of Spine Surgery, The First People's Hospital of Kashi Prefecture, Kashi, Xinjiang, 844000, People's Republic of China.
Background: Tuberculous spondylitis (TS) and brucellar spondylitis (BS) exhibit certain similarities in clinical presentation and imaging characteristics, making differential diagnosis challenging. Developing a reliable differential diagnosis model can assist clinicians in distinguishing between these two conditions at an early stage, allowing for targeted prevention and treatment strategies.
Methods: Patients diagnosed with TS and BS were retrospectively collected and randomized into training and validation cohorts (ratio 7:3).
Infect Dis (Lond)
December 2024
Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Background: Vertebral osteomyelitis (VO) is an infection of the spine with increasing prevalence due to improved diagnostics and aging populations. Multiple pathogens, including , spp., and pyogenic bacteria, can cause VO, making differential diagnosis complex, especially in regions with endemic brucellosis and tuberculosis.
View Article and Find Full Text PDFInfez Med
December 2024
Department of Orthopedics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
This study aims to bridge the informational gap regarding the clinical and epidemiological aspects of spondylodiscitis in India, addressing the dearth of substantial evidence in this domain. This study was conducted in a tertiary care hospital over three years, involving 145 adult patients diagnosed with spondylodiscitis. Among them, 28 (19.
View Article and Find Full Text PDFBMC Infect Dis
November 2024
Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 9677 Jingshi Road, Jinan, 250021, China.
Background: Tuberculous spondylitis (TS) and brucellar spondylitis (BS) both cause major long-term morbidity and disability. Though Spondylodiscitis is sensitive to magnetic resonance images, some are difficult to differentiate. This study aims to identify specific bone changes on computed tomography (CT) images, further to differentiate TS from BS.
View Article and Find Full Text PDFClin Case Rep
November 2024
Maharajgunj Medical Campus Institute of Medicine, Tribhuvan University Kathmandu Nepal.
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