Aims: To identify independent factors that could predict mortality within 6 months in a cohort of patients with esophageal cancer.
Methods: Esophageal cancer patients were grouped into early (≤6 months, n = 41) and late (>6 months, n = 81) mortality groups. 52 variables were analyzed by univariable analysis (UA). A multivariable (MVA) regression model was created to identify predictors of early mortality.
Results: When comparing early and late mortality groups, there was no difference in age, BMI, race, histology, or anatomic location between the two groups. UA demonstrated that the early mortality group had a lower mean albumin level (3.3 ± 0.1 g/dl vs. 3.8 ± 0.1 g/dl; P < 0.001), poorer ECOG performance status (1.9 ± 0.2 vs. 1.1 ± 0.1, P = 0.02), higher WBC count (9.6 ± 0.7 K/µL vs. 8.2 ± 0.3 K/µL, P = 0.04), and were less likely to receive surgery (2.4% vs. 22.2%; P = 0.003), neoadjuvant treatment (4.9% vs. 28.4%; P = 0.009) and definitive chemoradiation (7.3% vs. 27.2%; P = 0.01). MVA revealed that only low albumin at diagnosis was an independent predictor of survival (P = 0.016).
Conclusion: Albumin level at diagnosis is an independent predictor of early mortality and might be used with other variables to provide prognostic information for patients and to guide treatment.