Acute Aortic Dissection
Conditions
Keywords
Type A acute aortic dissection; Eosinophils; Prognosis
Brief summary
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.
Detailed description
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.
Interventions
OTHERThis was a retrospective study with no intervention other than normal treatment
This was a retrospective study with no intervention other than normal treatment
Sponsors
First Affiliated Hospital Xi'an Jiaotong University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
* The patients with a diagnosis of Type A acute aortic dissection by the computer tomography
Exclusion criteria
* History of cardiogenic shock or cardiac tamponade; * Iatrogenic aortic dissection; * Traumatic aortic dissection; * Severe valvular disease; * Congenital heart disease; * Severe organ dysfunction, such as liver and kidney failure; * Metabolic diseases such as gout or hyperthyroidism; * Malignant tumor; * Severe gastrointestinal diseases; * Recent drug usage that might affect EOS; * Allergic diseases; * Infectious diseases; * Skin diseases; * Hematological diseases, such as leukemia and myelodysplastic syndromes; * Immune system diseases.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| mortality | The first month after operation | The primary outcome was 1-month mortality |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Infection and in-hospital poor prognosis | An average of 1 year | Poor prognosis was defined as development of any adverse event including organ injury, delirium, cerebral infarction, cerebral hemorrhage and other cardiovascular and cerebrovascular complications. |
Countries
China
Outcome results
None listed