EVALUATION OF INFLAMMATION-BASED PROGNOSTIC SCORES IN CARCINOMA GALLBLADDER: A PROSPECTIVE OBSERVATIONAL STUDY abhinavarunsonkar@gmail.com

 

EVALUATION OF INFLAMMATION-BASED PROGNOSTIC SCORES IN CARCINOMA GALLBLADDER: A PROSPECTIVE OBSERVATIONAL STUDY

2

India

Oral or Poster

Carcinoma gallbladder (CaGB), highly prevalent in North India, carries poor survival. Systemic inflammation contributes to tumour progression, and low-cost, routinely available indices—C-reactive protein–to-albumin ratio (CAR), Glasgow Prognostic Score (GPS), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI)—may enhance prognostic stratification beyond stage alone. The study was to assess the prognostic utility of CAR in CaGB and examine correlations of CAR and other inflammation-based scores with disease stage, adverse pathological features, and early outcomes.

This prospective observational study (March 2024–March 2025) at King George’s Medical University, Lucknow, enrolled adults with histologically confirmed CaGB without prior chemotherapy or tumour resection. Baseline serum CRP, albumin, CEA, and CA19-9 were obtained; CRP and albumin were repeated 3 weeks post-operatively. Indices (CAR, GPS, NLR, PLR, PNI) were computed from routine labs. Patients were followed for up to 12 months to record symptom relief, pain duration, hospital stay, recurrence, and survival.

Thirty patients were included (median age 58 years; 34% male, 66% female); mean follow-up was 6.87±2.6 months. CAR was higher in advanced T and N stages and in patients with adverse pathology. High CAR (>0.1) was associated with lower one-year survival (38%) and higher recurrence (52%). NLR and PLR were elevated in cases with lymphovascular and perineural invasion. GPS ≥1 occurred in 60% of advanced-stage patients and correlated with longer hospital stay and persistent postoperative symptoms.

Inflammation-based indices, particularly CAR and GPS, reflect disease severity and clinical outcomes in gallbladder carcinoma, supporting integration with staging to enhance prognostication and risk stratification.