Perioperative Eosinophils Their Recovery in Type A Acute Aortic Dissection Prognosis

Overview

Type A acute aortic dissection (TA-AAD) patients are prone to life-threatening complications and death during the acute phase. Currently, little evidence is available with regards to the relationship between eosinophils (EOS) and TA-AAD. A total of 274 patients with TA-AAD were eligible for inclusion and 54 patients deceased within 1 month following surgery. Multivariate regression analysis, the general linear model repeated-measures ANOVA analysis (corrected by Greenhouse-Geisser test), receiver-operating characteristics (ROC) curves and a Kaplan-Meier curve were applied for statistical analysis.

For this study, 274 patients with TA-AAD admitted into our hospital between February 2019 and July 2021 were enrolled retrospectively. A total of 54 patients deceased unfortunately within 1 month following surgery. We compared baseline sociodemographic, clinical, and functional status based on the main outcome using t tests or Mann-Whitney U test for continuous data and χ2 or Fisher's exact tests for categorical data. Continuous variables were expressed as mean SD median depending on the normality of distribution, and categorical variables were expressed as absolute number along with their percentages and compared using the chi-square test. Multivariate regression analysis was applied to assess the association between EOS and 1-month mortality in an unadjusted model, in an age-, sex-, Body mass index (BMI)-adjusted model (model 2), adjusted for age, sex, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean arterial pressure (MAP) (model 3), and further adjusting for age, sex, BMI, SBP, DBP, MAP, heart rate (HR), diabetes, stroke and hyperlipidemia (model 4). In addition, the general linear model repeated-measures ANOVA analysis (Corrected by Greenhouse-Geisser test in nonspherical cases) was used to compare preoperative EOS and postoperative eight-days EOS. For prognostic analysis, receiver-operating characteristics (ROC) curves were used to determine the optimal cutoff of EOS at different points and the time of postoperative EOS to return to normal levels for the prognostic events. A Kaplan-Meier curve was then applied to compare the prognosis between the 2 subgroups based on the predictive threshold. A P value\<0.05 was regarded as statistically significant for all statistical tests.