• Rümeysa Büşra Doğan, YavuzBurcu GencBG0000-0001-6693-5288Department of Emergency Medicine, University of Health Sciences, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey. drbgenc@gmail.com., Dilay Satilmis, Mustafa Ahmet Afacan, and Sahin Colak.
• Department of Neuroscience, Institute of Medical Science, Istanbul Medipol University, Istanbul, Turkey.
• Ir J Med Sci. 2024 Feb 1; 193 (1): 469476469-476.

BackgroundWith the older populations growing each year, high mortality rates make delirium a valuable topic.AimWe aimed to analyze the parameters that could predict 30 days of mortality of the patients diagnosed in the emergency department (ED) with delirium.MethodsThis 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.ResultsThe 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.ConclusionsThe 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.© 2023. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.

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