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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Diabetic Foot Infections (DFI) present a significant mortality risk, a threat severely compounded by the presence of comorbidities. This study sought to identify renal impairment and other independent risk factors for mortality among DFI patients admitted to Dr. Sardjito Hospital in Yogyakarta, Indonesia. The ultimate goal is to facilitate more effective risk stratification and preventive measures for this high-risk patient population.
Data for this observational, cross-sectional study were collected from 200 DFI patients admitted to Dr. Sardjito Central General Hospital, Yogyakarta, Indonesia, from January to December 2023 (via the emergency department or outpatient clinic). To determine the association between potential risk factors and mortality, both bivariate and multivariate logistic regression were conducted. The factors identified as independent predictors in the multivariate analysis formed the basis for developing a mortality prediction model. This model utilized a scoring system derived from the negative exponential function of y. The discriminatory ability of the resulting model was assessed by calculating the Area Under the Curve (AUC) from Receiver Operating Characteristic (ROC) analysis, alongside reporting its sensitivity and specificity.
A total of 31 patients (15.5%) had deceased, while 169 patients (84.5%) showed improvement by the end of the treatment. Multivariate analysis identified four independent variables significantly associated with mortality in DFI: (1) absence of surgical intervention (p 0.016, OR 5.228, 95% CI 1.357-20.140), (2) IWGDF/IDSA grade 4/severe (p <0.001, OR 28.073, 95% CI 7.627-103.334), (3) eGFR < 60 ml/min/1.73 m² (p 0.011, OR 4.386, 95% CI 1.394-13.800), and (4) platelet count < 150 x 10³ cells/µL (p 0.016, OR 6.552, 95% CI 1.425-30.129). The mortality prediction model achieved a maximum score of 5, indicating a mortality risk of 99.45% with a sensitivity of 64.52%, specificity of 95.86%, LR+ of 15.58, and LR- of 0.37.
Four factors were independently identified as significant risk factors for mortality in DFI: the absence of surgical intervention, IWGDF/IDSA grade 4/severe, eGFR < 60 ml/min/1.73 m², and platelet count <150 x 10³ cells/µL. Renal insufficiency represents a critical prognostic factor and, importantly, a domain for risk stratification and targeted intervention in this vulnerable patient group.
