Prognostic Significance of Preoperative NLR or PLR and PASS Score Combinations in Pheochromocytoma and Paraganglioma


Çavdar Ü., Kalender D. S. Y., Yüksel B., Pamuk B. Ö., ÇÖMLEKÇİ A., Ertürk M. S., ...Daha Fazla

Clinical Endocrinology, cilt.102, sa.3, ss.362-368, 2025 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 102 Sayı: 3
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1111/cen.15192
  • Dergi Adı: Clinical Endocrinology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, CAB Abstracts, EMBASE, Gender Studies Database
  • Sayfa Sayıları: ss.362-368
  • Anahtar Kelimeler: inflammation scores, NLR, pheochromocytomas and paragangliomas, PLR, prognostic markers
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Context: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have recently emerged in assessing pheochromocytomas and paragangliomas (PPGLs). However, their combined use with PASS scale has not yet been explored. Objective: Our goal was to investigate the prognostic values of NLR and PLR and incorporate the PASS score into our analysis. Methods: Data from 74 histologically confirmed pheochromocytomas/paragangliomas across two centres were assessed. Poor prognosis was characterised by the presence of metastasis or disease-specific mortality. Clinical characteristics such as age, gender, primary tumour size and location, and urinary metanephrine and normetanephrine levels, alongside NLR, PLR, and the PASS score as prognostic markers, were analysed. The prognostic value of the PASS score combined with NLR or PLR was evaluated using Receiver Operating Characteristic Curve (ROC), univariate, and multivariate regression analyses. Results: Sixty-four patients with better prognosis and 10 patients with poor prognosis were included in the analysis, with mean PASS scores of 4 and 9, respectively. Poor prognosis was significantly higher in patients with NLR Á 3.43 (Area Under Curve(AUC) = 0.761; 70% sensitivity, 82.8% specificity, 38.9% PPV and 94.7% NPV) and with PLR > 193.12 (AUC = 0.738; 70% sensitivity, 76.2% specificity, 30% PPV and 94% NPV). The PASS and preoperative NLR or PLR combination predicted poor prognosis significantly in the multivariate models (OR: 125; 95% CI: 6.25–∞; p = 0.001 for PASS ≥ 6 and NLR > 3.43 and OR: 28.57; 95% CI: 3–250; p = 0.003 for PASS ≥ 6 and PLR > 193.12). Conclusion: As the roles of NLR and PLR in prediction of prognosis is gaining recognition, combining these with PASS score may improve preoperative stratification of prognosis and management of patients.