Naples Score: A Novel Predictor of Infrapopliteal Artery Disease Severity and Complexity


Süleymanoğlu C., Kidik A., Paçaci E., Çetinkaya Z., Yurt R., KELEŞOĞLU Ş.

Annals of Vascular Surgery, cilt.123, ss.410-418, 2026 (SCI-Expanded, Scopus) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 123
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.avsg.2025.10.006
  • Dergi Adı: Annals of Vascular Surgery
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.410-418
  • Erciyes Üniversitesi Adresli: Evet

Özet

Background Peripheral artery disease (PAD), particularly infrapopliteal lesions, represents a severe form of atherosclerotic vascular disease. The Naples prognostic score (NPS), which reflects systemic inflammation and nutritional status, has emerged as a potential predictor of cardiovascular outcomes. This study investigates the association between the NPS and the severity of infrapopliteal artery disease, as classified by the Trans-Atlantic Inter-Society Consensus II (TASC II) system. Methods We retrospectively analyzed data from 282 patients with infrapopliteal lesions who underwent peripheral angiography. Patients were grouped by TASC II classification (A–B versus C–D). The NPS was calculated using serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Statistical analysis included receiver operating characteristic (ROC) curve and logistic regression. Results NPS values were significantly higher in patients with TASC C-D lesions than those with TASC A-B lesions (2.5 ± 0.92 vs. 1.49 ± 0.98, P < 0.001). ROC analysis showed the NPS had the highest predictive value for disease severity (area under the curve: 0.77). Multivariate analysis identified NPS as an independent predictor of complex lesion presence. Conclusion The NPS is a robust and independent marker for predicting the severity and complexity of infrapopliteal PAD. Its ease of calculation and cost-effectiveness make it a valuable tool for clinical risk stratification.