Introduction: Peripheral artery disease (PAD) is a common manifestation of atherosclerosis. Despite the effectiveness of endovascular therapy (EVT), patients with PAD often face poor prognoses. This study investigates the relationship between specific inflammatory indices and wound healing in patients with Fontaine stage 4 chronic limb-threatening ischemia (CLTI). Methods: From June 2021 to January 2024, 168 patients with Fontaine stage 4 CLTI, totaling 185 affected extremities, who underwent successful EVT, were assessed retrospectively. Patients were categorized based on wound healing post-EVT. The Naples prognostic score (NPS), pan-immune inflammation value (PIV), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were calculated. Discrimination and decision curve analyses were used to explore the link between inflammation and wound healing. Results: Wound healing was observed in 142 (76.8%) patients post-EVT. Nonhealing patients exhibited higher indices of NPS, PIV, SII, and SIRI. NPS (aOR = 0.381, 95% CI 0.215–0.675, p = 0.001), PIV (aOR = 0.997, 95% CI 0.996–0.999, p < 0.001), SII (aOR = 0.997, 95% CI 0.996–0.997, p < 0.001), and SIRI (aOR = 0.443, 95% CI 0.313–0.625, p < 0.001) were independently predictive of wound healing. SIRI (AUC = 0.840, 95% CI 0.777–0.904) demonstrated superior predictive ability compared to PIV (AUC = 0.799, 95% CI 0.722–0.876, p dif < 0.001), SII (AUC = 0.788, 95% CI 0.712–0.865, p dif < 0.001), and NPS (AUC = 0.760, 95% CI 0.681–0.838, p dif < 0.001). SIRI also showed higher net reclassification improvement over PIV (68.4%, p dif < 0.001), SII (38.5%, p dif = 0.024), and NPS (29.8%, p dif = 0.079). All inflammatory indices, especially SIRI, provided prognostic value in determining wound healing at high treatment thresholds (> 40%). Conclusion: In patients with CLTI undergoing EVT, SIRI, SII, PIV, and NPS may help predict the potential for wound healing during in-hospital follow up, with SIRI being the strongest predictor.

Objectives: Infective endocarditis (IE) remains a significant clinical challenge due to its high morbidity and mortality rates. Prognosis is influenced by patient characteristics, causative microorganisms, complications, and echocardiographic findings. The Barcelona Bio-Heart Failure (BCN Bio-HF) Risk Score, widely used in heart failure, has not yet been evaluated in IE. This study aimed to assess the association between the BCN score and in-hospital mortality in patients with IE. Methods: This retrospective, single-center observational study included 108 patients diagnosed with IE. Patients were divided into two groups based on the occurrence of in-hospital mortality, which was defined as any death occurring during hospitalization. Clinical, demographic, laboratory, and echocardiographic data were compared between the groups. Results: Among 108 patients, 29 (26.9%) experienced in-hospital mortality. Compared to survivors, non-survivors were older (p=0.046) and had a higher prevalence of chronic kidney disease (p=0.041). Staphylococcus aureus and methicillin-resistant strains were more common in the mortality group (p=0.043 and p=0.04, respectively). Echocardiographic findings showed a lower ejection fraction (p=0.03), higher pulmonary artery systolic pressure (p=0.017), and larger vegetation size (p=0.033) in non-survivors. Mechanical complications were also more frequent (p=0.017). Laboratory results revealed lower hemoglobin (p=0.012) and higher levels of WBC (p=0.035), CRP (p=0.01), procalcitonin (p=0.02), NT-proBNP (p=0.008), and BCN Bio-HF risk score (p=0.008) in patients with in-hospital mortality. Conclusion: The BCN Bio-HF risk score showed potential in predicting in-hospital mortality in infective endocarditis by integrating clinical and biomarker data. Future studies should aim to develop IE-specific prognostic models incorporating dynamic clinical variables and novel biomarkers to enhance risk stratification and guide management.