Comparison of sequential organ failure assessment score and cardiac surgery score systems for mortality prediction after emergency acute aortic dissection surgery

BACKGROUND: Acute type A aortic dissection (ATAAD) is one of the most mortal cardiovascular diseases and requires urgent diagnosis and surgery. The patient’s clinical findings, complications, and patient’s history are closely related to mortality rates. Cardiac surgery score (CASUS) is a scoring system which is calculated by considering the special pathophysiological conditions of patients undergoing cardiac surgery and predicts post-operative results with high accuracy. METHODS: Following the ethical approval from institutional ethics committee (ID: 2021/7/496), the data of consecutive 50 ATAAD patients who underwent emergent surgery in our hospital between January 1, 2019, and December 31, 2020, were evaluated. The Sequential Organ Failure Assessment and CASUS scores were calculated using the worst values of the daily laboratory and neurological status for both in admission to emergency department and during intensive care unit (ICU) follow-up period. The average and the total values of these scores were recorded for pre-operative, post-operative 1(st) day, and for the categorical data were defined as frequency and percentage. We used the Mann–Whitney U test for the independent continuous data comparisons and Pearson Chi-Square or Fisher exact test for categorical data comparison whole ICU period. Continuous data were presented as median and interquartile ranges (25–75(th)). RESULTS: The study comprised 50 patients, the rate of death was 34% (n=17). In total group, there were hypertension 72% (n=36), diabetes mellitus 24% (n=12), initial hemoglobin 12.5 g/dL (10.7–14.1, 25–75(th)), creatinine 1.09 mg/dL (0.85–1.33, 25–75(th)), and 72% (n=36) of these patients were male. The CASUSmean and SOFAmean scores were higher in the death-group when compared with the group who survived (12.9 [9.5–13.8, 25–75(th)], 3 [2–5, 25–75(th)]; 8 [6.1–9.2, 25–75(th)], 2.6 (2–4.5, 25–75(th)], p<0.001, respectively]. CASUSmean was independently associated with the 1-month mortality in model 1 (HR 1.25 [1.14–1.37] (p<0.001). CONCLUSION: According to our results increase in CASUS mean was the main predictor of 1 month mortality. When CASUS mean exceeds 8.3 the patient should be followed up more carefully for major adverse events including death.