Update of biomarkers to diagnose diabetic foot osteomyelitis: A meta-analysis and systematic review

Elizabeth A. Ansert, Arthur N. Tarricone, Tyler L. Coye, Peter A. Crisologo, David Truong, Mehmet A. Suludere, Lawrence A. Lavery

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this study was to evaluate the diagnostic characteristics of biomarker for diabetic foot osteomyelitis (DFO). We searched PubMed, Scopus, Embase and Medline for studies who report serological markers and DFO before December 2022. Studies must include at least one of the following diagnostic parameters for biomarkers: area under the curve, sensitivities, specificities, positive predictive value, negative predictive value. Two authors evaluated quality using the Quality Assessment of Diagnostic Accuracy Studies tool. We included 19 papers. In this systematic review, there were 2854 subjects with 2134 (74.8%) of those patients being included in the meta-analysis. The most common biomarkers were erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and procalcitonin (PCT). A meta-analysis was then performed where data were evaluated with Forrest plots and receiver operating characteristic curves. The pooled sensitivity and specificity were 0.72 and 0.75 for PCT, 0.72 and 0.76 for CRP and 0.70 and 0.77 for ESR. Pooled area under the curves for ESR, CRP and PCT were 0.83, 0.77 and 0.71, respectfully. Average diagnostic odds ratios were 16.1 (range 3.6–55.4), 14.3 (range 2.7–48.7) and 6.7 (range 3.6–10.4) for ESR, CRP and PCT, respectfully. None of the biomarkers we evaluated could be rated as ‘outstanding’ to diagnose osteomyelitis. Based on the areas under the curve, ESR is an ‘excellent’ biomarker to detect osteomyelitis, and CRP and PCT are ‘acceptable’ biomarkers to diagnose osteomyelitis. Diagnostic odds ratios indicate that ESR, CRP and PCT are ‘good’ or ‘very good’ tools to identify osteomyelitis.

Original languageEnglish (US)
JournalWound Repair and Regeneration
DOIs
StateAccepted/In press - 2024

Keywords

  • biomarkers
  • diabetic foot infection
  • diabetic foot osteomyelitis
  • osteomyelitis

ASJC Scopus subject areas

  • Surgery
  • Dermatology

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