PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 17, 2026International Journal of Infectious Diseases0 citationsOpen Access

Chronic Infections of the Spine: A Systematic Review of Microbial Etiologies, Diagnostic Approaches, and Treatment Outcomes

ZMZahra Sheidae MehneEHElham HonarjouMKMohsen Khamoushi Kahdouee

Key Points

  • This review aims to synthesize information on microbial causes, diagnostic techniques, and treatment outcomes for chronic spinal infections.
  • Conducted a systematic review following PRISMA guidelines in multiple databases.
  • Included 55 studies with 3,036 adult patients with chronic spinal infections.
  • Analyzed data on pathogens, diagnostics, interventions, and outcomes.
  • Mycobacterium tuberculosis was the most common pathogen, followed by Brucella and pyogenic bacteria.
  • Metagenomic next-generation sequencing provided a sensitivity of 82-92% for diagnosis.
  • Surgical treatments led to high rates of fusion and neurological recovery.

Abstract

AbstractBackground Chronic spinal infections are uncommon but potentially devastating conditions, frequently associated with delayed diagnosis, heterogeneous microbiology, and complex management. Existing evidence remains fragmented, and a comprehensive synthesis of microbial etiologies, diagnostic approaches, and treatment outcomes is needed. Methods A systematic review was conducted in accordance with PRISMA guidelines. PubMed, Scopus, Web of Science, and Embase were searched for studies published between October 2015 and September 2025 involving adult patients with chronic spinal infections. Data were extracted on causative pathogens, diagnostic modalities, medical and surgical interventions, and clinical outcomes. Risk of bias was assessed using standardized methodological criteria. Results Fifty-five studies comprising 3,036 patients were included. Mycobacterium tuberculosis was the most frequently identified pathogen, followed by Brucella species and pyogenic bacteria. Metagenomic next-generation sequencing (mNGS) demonstrated the highest diagnostic yield, with reported sensitivities ranging from 82% to 92%, and showed particular utility in detecting mixed or atypical infections. Biomarker-based and RNA-derived assays demonstrated promising performance in differentiating tuberculous spondylitis from other spinal conditions. Surgical interventions, including minimally invasive and combined approaches, were associated with high fusion and neurological recovery rates. Conclusions Chronic spinal infections show marked microbiological heterogeneity. Integrating molecular diagnostics with tailored surgical and antimicrobial strategies may improve diagnostic accuracy and clinical outcomes.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mehne et al. (2026) studied this question.

synapsesocial.com/papers/6a095a877880e6d24efe0868https://doi.org/10.1016/j.ijid.2026.108769
Ask AI
Helpful
Bookmark
Share
View Full Paper