Akademik Veri Yönetim Sistemi
Irish Journal of Medical Science, cilt.193, sa.1, ss.469-476, 2024 (SCI-Expanded)
Background: With the older populations growing each year, high mortality rates make delirium a valuable topic. Aim: We aimed to analyze the parameters that could predict 30 days of mortality of the patients diagnosed in the emergency department (ED) with delirium. Methods: This retrospective study included 85 patients with a diagnosis of delirium. Glasgow prognostic score (GPS), prognostic nutritional index (PNI), and C-reactive protein (CRP)/albumin values of the patients and 30-day mortality rate were computed. The effectiveness of GPS, PNI, and CRP/albumin parameters in predicting 30-day mortality was analyzed. Results: The findings showed that the optimal cut-off value for albumin as determined by Youden’s index in estimation of 30-day mortality was ≤ 36.8 [AUC: 0.830 (95% CI: 0.733–0.903; p < 0.001), with a sensitivity of 85.71% and specificity of 76.36%], while cut-off value for CRP/albumin was > 0.974 [AUC: 0.753 (95% CI: 0.647–0.840; p < 0.001); with a sensitivity of 85.71% and specificity of 70.51%], and cut-off value for PNI was ≤ 39.05 [AUC: 0.850 (95% CI: 0.756–0.918; p < 0.001) sensitivity 71.43% and specificity 92.31%]. Significant effectiveness of the values of GPS (odds ratio (OR) = 6.69; 95% confidence interval (CI): 1.69–26.37), PNI (OR = 0.83; 95% CI: 0.74–0.95), albumin (OR = 0.82; 95% CI: 0.71–0.94), and CAD (OR = 10.5; 95% CI: 1.85–59.45) was observed for predicting mortality in univariate regression analysis. Conclusions: The findings obtained in this study suggest that GPS, PNI, and albumin parameters could be used to guide the clinician in predicting the 30-day mortality of patients diagnosed with delirium.