Evaluation of Clinical and Laboratory Parameters for Hospitalization in Acute Parotitis: A ROC-Based Analysis
Van Medical Journal, cilt.33, sa.3, ss.247-254, 2026 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 33 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.5505/vmj.2026.86570
- Dergi Adı: Van Medical Journal
- Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.247-254
- Anahtar Kelimeler: hospitalization, Parotitis, risk factors
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Lokman Hekim Üniversitesi Adresli: Evet
Özet
Introduction: Acute parotitis (AP) ranges from mild local inflammation to systemic complications. While some patients can be treated as outpatients, others require hospitalization and intravenous therapy. This study aimed to identify clinical and laborat ory predictors of hospitalization and determine optimal cut-off values using receiver operating characteristic (ROC) curve analysis in patients presenting to the emergency department with AP. Materials and Methods: This retrospective study included 62 pati ents diagnosed with AP between 2019 and 2025. Demographic characteristics, clinical findings (oral feeding intolerance, purulent discharge from Stensen’ s duct, and comorbidities), and laboratory parameters were evaluated. Logistic regression analysis was used to identify independent predictors of hospitalization, and ROC analysis was performed to determine discriminatory performance and optimal cut-off values. Results: The mean age was 49. 90±20.44 years, and 59.6% were female. Hospitalized patients were old er and had higher WBC, neutrophil counts, CRP levels, and BUN/creatinine ratios, while lymphocyte counts were lower. Oral feeding intolerance and purulent disc harge from Stensen’s duct were more frequent among hospitalized patients. Multivariate analysis i dentified age (OR: 1.065, 95% CI: 1.018–1.114, p=0.006) and CRP (OR: 1.038, 95% CI: 1. 006–1.071, p=0. 021) as independent predictors of hospitalization. ROC analysis i dentified cut-off values of ≥61. 5 years for age (AUC=0.843) and ≥22.95 mg/L for CRP (AUC=0. 832). The combined model incorporating age and C RP showed good discriminatory performance (AUC=0.887). Conclusion: Older age and elevated CRP levels were independent ly associated with hospitalization in patients with AP. ROC-derived cut-off values and the combined predictive model may support clinical decision-making in the emergency management of AP.