Skeletal Tuberculosis: Clinical and Radiological Profile, Management, and Outcomes in a Retrospective Study

Introduction Skeletal tuberculosis (TB) is a diagnostically challenging form of extrapulmonary TB (EPTB). Among EPTB, musculoskeletal or osteoarticular tuberculosis (OAT) represents 1-3% of all TB cases. This study evaluated the clinical patterns, diagnostic pathways, and treatment outcomes of skeletal TB cases managed under the National Tuberculosis Elimination Program (NTEP). Methods A retrospective review was conducted at the Subbaiah Institute of Medical Sciences, a tertiary-care center in Karnataka, India, including 20 patients with skeletal TB treated under NTEP between January 2022 and January 2025. Inclusion required completion of NTEP-based anti-tubercular therapy (ATT) and ≥1-year post-treatment follow-up. Diagnosis followed the NTEP criteria using an integrated approach involving clinical features, MRI, histopathology demonstrating necrotizing granulomatous inflammation, and microbiological testing (GeneXpert MTB/RIF). Functional outcomes were assessed using the Visual Analog Scale (VAS) for pain, Frankel grading for spinal cases, and validated joint-specific scoring systems (Knee Society Score, Modified Harris Hip Score, Mayo Elbow Performance Score, QuickDASH, Constant-Murley Shoulder Score) in extraspinal cases. Treatment outcomes were evaluated according to NTEP-defined clinico-radiological criteria. Results Spinal TB was observed in 14 patients (70%), predominantly lumbar (6/14), and extraspinal involvement in six patients (30%), affecting the hip, knee, shoulder, elbow, wrist, and sternum. All patients underwent MRI and biopsy; GeneXpert detected no rifampicin resistance. Surgical intervention was performed in cases with neurological deficits, instability, large abscesses, or advanced joint destruction. Mean VAS pain scores improved significantly from 7.35 ± 1.23 pre-treatment to 2.40 ± 0.94 at one year (p < 0.001). Functional scores in extraspinal cases ranged from fair to excellent across joints. Neurological status remained grade E in all spinal cases. All patients achieved treatment completion with clinico-radiological cure, including those with comorbidities and HIV infection. Conclusion NTEP-guided composite diagnosis, combined with selective surgery and standardized ATT, resulted in significant pain improvement and favorable outcomes in skeletal TB. Early biopsy and MRI are crucial for timely diagnosis and reducing disability.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-11-27
DOI
https://doi.org/10.7759/cureus.97948
Primary Topic
Infectious Diseases and Tuberculosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Skeletal Tuberculosis: Clinical and Radiological Profile, Management, and Outcomes in a Retrospective Study

Harish Pai, Akash Hosthota, Vinay Kumar, Bharath HD et al.
Cureus
Infectious Diseases and Tuberculosis
article

Skeletal Tuberculosis: Clinical and Radiological Profile, Management, and Outcomes in a Retrospective Study

Harish Pai, Akash Hosthota, Vinay Kumar, Bharath HD, D Vinutha
article en

Abstract

Introduction Skeletal tuberculosis (TB) is a diagnostically challenging form of extrapulmonary TB (EPTB). Among EPTB, musculoskeletal or osteoarticular tuberculosis (OAT) represents 1-3% of all TB cases. This study evaluated the clinical patterns, diagnostic pathways, and treatment outcomes of skeletal TB cases managed under the National Tuberculosis Elimination Program (NTEP). Methods A retrospective review was conducted at the Subbaiah Institute of Medical Sciences, a tertiary-care center in Karnataka, India, including 20 patients with skeletal TB treated under NTEP between January 2022 and January 2025. Inclusion required completion of NTEP-based anti-tubercular therapy (ATT) and ≥1-year post-treatment follow-up. Diagnosis followed the NTEP criteria using an integrated approach involving clinical features, MRI, histopathology demonstrating necrotizing granulomatous inflammation, and microbiological testing (GeneXpert MTB/RIF). Functional outcomes were assessed using the Visual Analog Scale (VAS) for pain, Frankel grading for spinal cases, and validated joint-specific scoring systems (Knee Society Score, Modified Harris Hip Score, Mayo Elbow Performance Score, QuickDASH, Constant-Murley Shoulder Score) in extraspinal cases. Treatment outcomes were evaluated according to NTEP-defined clinico-radiological criteria. Results Spinal TB was observed in 14 patients (70%), predominantly lumbar (6/14), and extraspinal involvement in six patients (30%), affecting the hip, knee, shoulder, elbow, wrist, and sternum. All patients underwent MRI and biopsy; GeneXpert detected no rifampicin resistance. Surgical intervention was performed in cases with neurological deficits, instability, large abscesses, or advanced joint destruction. Mean VAS pain scores improved significantly from 7.35 ± 1.23 pre-treatment to 2.40 ± 0.94 at one year (p < 0.001). Functional scores in extraspinal cases ranged from fair to excellent across joints. Neurological status remained grade E in all spinal cases. All patients achieved treatment completion with clinico-radiological cure, including those with comorbidities and HIV infection. Conclusion NTEP-guided composite diagnosis, combined with selective surgery and standardized ATT, resulted in significant pain improvement and favorable outcomes in skeletal TB. Early biopsy and MRI are crucial for timely diagnosis and reducing disability.

CureusVol. 17(11)
Subbaiah Medical College (IN)
Openalex Percentile: Top 44%
Infectious Diseases and Tuberculosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.