Background: Diabetic foot infection is a complication of uncontrolled diabetes. Some cases require amputation to avoid the spread of infection; however, this can also lead to poor outcomes. Inflammatory markers, such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), have been explored as predictors of outcomes following amputation; however, only a few published studies are available. Objective: The study aimed to determine the diagnostic value of pre-operative neutrophil-lymphocyte and platelet-lymphocyte ratios in predicting in-hospital morbidity and mortality among diabetic foot infection patients who underwent amputation in a tertiary government hospital. Methodology: This retrospective cohort study included a total of 535 diabetic foot ulcer patients who underwent amputation at a tertiary government hospital. Data was collected via medical chart review. Complete blood count (CBC) parameters closest to the time of amputation were obtained to calculate the neutrophil-lymphocyte and platelet-lymphocyte ratios. Stata software was used for data processing and analysis. Results: Only 10.28% of patients experienced in-hospital morbidity and/or mortality. Based on Youden’s index, the optimal cutoff points of neutrophil-lymphocyte and platelet-lymphocyte ratios were 7.27 and 32.40, respectively. Both markers showed 98% sensitivity in predicting the outcome. Specificity was 99% for the neutrophil-lymphocyte ratio and 93% for the platelet-lymphocyte ratio. Accuracy parameters remained high when morbidity and mortality were analyzed separately, and subgroup analyses by major and minor amputations were performed. Conclusion: Neutrophil-lymphocyte and platelet-lymphocyte ratios accurately predict in-hospital morbidity and mortality among diabetic foot infection patients who underwent amputation. The low cost and wide availability of a CBC make NLR and PLR valuable options in low-resource settings. Future studies should explore these markers' utility in predicting long-term outcomes after amputation.
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