Constructing a nomogram for the recurrence of tibial osteomyelitis after debridement surgery based on platelet to lymphocyte ratio at admission: a dual-center retrospective study from China

Abstract

Abstract Aim To construction of a nomogram to predict the prognosis of patients with tibial osteomyelitis after debridement surgery. Method This study used binary logistic regression analysis to identify clinical independent predictive factors, and then used R language to construct a nomogram. Result The results showed that WBC (3.36[1.77–6.37])、LYM (0.29[0.15–0.54])、BAS (2.19[1.22–3.91])、FIB (0.27[0.14–0.54])、ALB (0.16[0.09–0.3])、TBIL (0.41[0.21–0.83])、D-Dimer (1.77[1.03–3.03])、CRP (0.43[0.2–0.91])、ESR (3.08[1.6–5.79]) and PLR (0.47[0.24–0.9]) were independent predictive factors. Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups. Conclusion WBC、LYM、BAS、FIB、ALB、TBIL、D-Dimer、CRP、ESR and PLR are independent predictors of the prognosis of patients with tibial osteomyelitis after debridement surgery. The constructed nomogram can help clinicians assess and treat patients early, benefiting more patients.

Keywords

• Tibial osteomyelitis
• Debridement surgery
• Prognosis
• Nomogram