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ORIGINAL RESEARCH

Prognostic Value of Wagner Grade and Platelet Level in Diabetics with Infected Foot Ulcers After Antibiotic Therapy

, , ORCID Icon, , , & ORCID Icon show all
Pages 7435-7445 | Received 19 Sep 2023, Accepted 30 Nov 2023, Published online: 04 Dec 2023

Figures & data

Table 1 Baseline Characteristics

Figure 1 LASSO coefficient profiles of the 12 factors. The horizontal axis represented the log(λ) value of the independent variable, the horizontal axis represented the number of variables with non-zero coefficient, the vertical axis represented the coefficient of the independent variable, and each curve represented the variation trajectory of the coefficient of each independent variable.

Figure 1 LASSO coefficient profiles of the 12 factors. The horizontal axis represented the log(λ) value of the independent variable, the horizontal axis represented the number of variables with non-zero coefficient, the vertical axis represented the coefficient of the independent variable, and each curve represented the variation trajectory of the coefficient of each independent variable.

Figure 2 Ten-fold cross-validation for tuning parameter selection in the LASSO model. The dotted vertical lines were drawn at the best value of log(λ) by using the minimum criteria and 1-SE criteria. Solid vertical lines represented partial likelihood deviance ± SE. The intersection point of the left dotted line and the abscissa axis (bottom) showed the optimal value of log(λ), the corresponding value in the abscissa axis showed the number of variables with non-zero coefficient identified at the optimal log(λ).

Figure 2 Ten-fold cross-validation for tuning parameter selection in the LASSO model. The dotted vertical lines were drawn at the best value of log(λ) by using the minimum criteria and 1-SE criteria. Solid vertical lines represented partial likelihood deviance ± SE. The intersection point of the left dotted line and the abscissa axis (bottom) showed the optimal value of log(λ), the corresponding value in the abscissa axis showed the number of variables with non-zero coefficient identified at the optimal log(λ).

Figure 3 (A) Nomogram to pridict outcome of wound healed; (B) Calibration curve.

Abbreviations: EH, Essential hypertension; G, Gram negative bacteria; NLR, Neutrophil to lymphocyte ratio; PLT, Platelet count.
Figure 3 (A) Nomogram to pridict outcome of wound healed; (B) Calibration curve.

Figure 4 Decision curve analysis.

Abbreviations: EH, Essential hypertension; G, Gram negative bacteria; NLR, Neutrophil to lymphocyte ratio; PLT, Platelet count.
Figure 4 Decision curve analysis.

Table 2 Multivariate Logistic Regression Analysis for Predictors of Healed Wound for Diabetes Foot Patients

Figure 5 Association between the PLT level and wound healed rate in T2DM patients, allowing for nonlinear effects, with 95% CIs. The RCS function with 3 knots for PLT level, adjusted for Wagner grade, was performed. Curves show ORs compared with the chosen reference PLT of 200*10^9/L.

Figure 5 Association between the PLT level and wound healed rate in T2DM patients, allowing for nonlinear effects, with 95% CIs. The RCS function with 3 knots for PLT level, adjusted for Wagner grade, was performed. Curves show ORs compared with the chosen reference PLT of 200*10^9/L.