Acute Aortic Dissection Patients Research Articles

Effect of the intraoperative infusion of recombinant activated coagulation factor VII on short-term prognosis and thoracic complications after acute aortic coarctation

Purpose: To investigate the impact of intraoperative infusion of recombinant human-activated coagulation factor VII (rFVIIa) on postoperative outcomes in patients with acute aortic dissection (AAD). Methods: This study involved 120 individuals who underwent aortic coarctation surgery between January 1, 2020, and December 31, 2022 in the First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China. The participants were divided into control (receiving only conventional treatment) and study (receiving rFVIIa infusion in addition to conventional treatment) groups. Various parameters, including patient status, postoperative measures, and complications were evaluated. Results: There was no significant difference in age, gender distribution, duration of myocardial block, onset time, or surgery duration (p > 0.05) between both groups. However, the study group exhibited longer extracorporeal circulation duration (p < 0.05). The study group also demonstrated lower levels of chest drainage compared to the control group 12 and 24 h after surgery (p < 0.05). Moreover, fewer concentrated red blood cells and fresh frozen plasma transfusions were administered to study group (p < 0.05). Despite having longer stays in the ICU (p < 0.05), the study group required less postoperative mechanical ventilation (p < 0.05). There was a significant difference in the incidence of postoperative thrombosis cases, positive gram-negative bacilli sputum culture results, and deaths within the study group (p < 0.05). Conclusion: Intraoperative rFVIIа infusion in AAD patients enhances short-term prognosis, with elevated risk of chest complications. However, further studies with larger sample sizes is essential to comprehensively assess clinical advantages and drawbacks.

Combined blood pressure and heart rate trajectories are associated with prognosis in critically ill patients with acute aortic dissection: A group-based multi-trajectory analysis

BackgroundManaging systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) is pivotal in acute aortic dissection (AAD) care. However, no prior studies have jointly analyzed the trajectories of these parameters. This research aimed to characterize their joint longitudinal trajectories and investigate the influence on AAD prognosis. MethodsWe included AAD patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Using group-based multi-trajectory modeling (GBMTM), we identified combined trajectories of SBP, DBP, and HR within the initial 24 h of intensive care unit (ICU) admission. Cox proportional hazard regression, log-binomial regression, and logistic regression were employed to assess the association between trajectory groups and mortality outcomes. ResultsData from 337 patients were analyzed. GBMTM identified five combined trajectory groups. Group 1 featured rapidly declining SBP and DBP with high pulse pressure and low HR; Group 2 showed high to moderate SBP with slight rebound and persistently low HR; Group 3 displayed persistently moderate BP and HR; Group 4 was characterized by moderate blood pressure with persistently high HR; and Group 5 had high to moderate SBP with slight rebound, high but gradually declining DBP, and slightly high HR. Group 3 demonstrated a lower risk of mortality, with an adjusted hazard ratio of 0.32 (95 % CI, 0.14–0.74), and the adjusted relative risks for in-hospital, 30-day, and 1-year mortalities were 0.37 (95 % CI, 0.15–0.87), 0.25 (95 % CI, 0.10–0.62), and 0.41 (95 % CI, 0.22–0.79), respectively. The time-independent C-index curve demonstrated that the multi-trajectory groups had higher C-index values than any univariate trajectory groups or admission values of SBP, DBP, and HR. ConclusionsUtilization of GBMTM can yield data-driven insights to identify distinct subphenotypes in AAD patients. The combined trajectories of SBP, DBP, and HR within 24 h of ICU admission significantly influenced the mortality rate.

Eosinophil Recovery Time Is Associated with Clinical Outcomes in Patients with Type A Acute Aortic Dissection: a Retrospective Cohort Study.

Type A acute aortic dissection (TA-AAD) patients are prone to life-threatening complications and death. This study aimed to analyze the association between eosinophil (EOS) recovery and clinical outcomes in TA-AAD. A total of 274 patients with TA-AAD were eligible for inclusion, and 54 patients died within 1month. The patients with poor clinical outcomes showed significantly lower EOS count within 8days after surgery. The time-dependent ROC analysis showed that EOS recovery days predicted 1-month death with an AUC of 0.886 and a cutoff of 6days. EOS recovery within 6days was associated with a lower incidence of postoperative infection, a poorer prognosis, and a lower risk of 1-month and 6-month mortality than those requiring more recovery days. Collectively, postoperative early recovery of EOS predicted lower mortality and better prognosis and may be applied as an effective, rapid, and simple tool for the risk stratification and prognostic prediction of patients with TA-AAD.Clinical trial registration number: NCT05409677.

Incidence, presentation and outcome of acute aortic dissection: results from a population-based study

ObjectivesTo describe the incidence of acute aortic dissection in a clearly defined population, to assess onset symptoms and admission biochemical marker levels and to analyse variables potentially associated to mortality.MethodsMedical...

Risk factors for one-year mortality following discharge in patients with acute aortic dissection: development and validation of a predictive model in a cross-sectional study

PurposeThis study was aimed to identify the risk factors that influence the mortality risk in patients with acute aortic dissection (AAD) within one year after discharge, and aimed to construct a predictive model for assessing mortality risk.MethodsThe study involved 320 adult patients obtained from the Medical Information Mart for Intensive Care (MIMIC) database. Logistic regression analysis was conducted to identify potential risk factors associated with mortality in AAD patients within one year after discharge and to develop a predictive model. The performance of the predictive model was assessed using the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). To further validate the findings, patient data from the First Affiliated Hospital of Guangxi Medical University (157 patients) were analyzed.ResultsUnivariate and multivariate logistic regression analyses revealed that gender, length of hospital stay, highest blood urea nitrogen (BUN_max), use of adrenaline, and use of amiodarone were significant risk factors for mortality within one year after discharge (p < 0.05). The constructed model exhibited a consistency index (C-index) and an area under the ROC curve of 0.738. The calibration curve and DCA demonstrated that these indicators had a good degree of agreement and utility. The external validation results of the model also indicated good predictability (AUC = 0.700, p < 0.05).ConclusionThe personalized scoring prediction model constructed by gender, length of hospital stays, BUN_max levels, as well as the use of adrenaline and amiodarone, can effectively identify AAD patients with high mortality risk within one year after discharge.

Pericoronary adipose tissue attenuation in patients with acute aortic dissection based on coronary computed tomography angiography.

Periaortic fat is associated with coronary disease. Thus, it was hypothesized that the inflammation associated with acute aortic dissection (AAD) spreads to pericoronary adipose tissue (PCAT) via thoracic periaortic fat. Pericoronary adipose tissue attenuation (PCATa) serves as a marker for inflammation of perivascular adipose tissue (PVAT). This study sought to examine PCATa in individuals diagnosed with AAD. Consecutive patients with chest pain from May 2020 to September 2022 were prospectively enrolled in this study and underwent coronary computed tomography angiography (CCTA) and/or aorta computed tomography angiography (CTA). Based on the results of the CTA, the patients were divided into the following two groups: (I) the AAD group; and (II) the non-AAD group. PCATa of the right coronary angiography (RCA), left anterior descending (LAD), and left circumflex (LCx) was quantified for each patient using semi-automated software. The PCATa values were compared between the AAD and non-AAD patients according to the atherosclerosis of the coronary arteries. Similarly, the PCATa values of the AAD patients were compared between the preoperative and postoperative steady states. A total of 136 patients (42 female, 94 male; mean age: 63.3±11.9 years) were divided into the two groups according to the presence of aortic dissection on CTA. The RCAPCATa, LADPCATa, and LCxPCATa values were significantly higher in the AAD subjects than the non-AAD subjects, regardless of the presence or absence of atherosclerosis in the coronary arteries [-85.1±9.3 vs. -92.9±10.0 Hounsfield unit (HU); -83.2±7.4 vs. -89.9±9.1 HU; -77.5±8.4 vs. -85.6±7.9 HU, all P<0.001). The preoperative RCAPCATa, LADPCATa, and LCxPCATa values were higher in the AAD patients than the postoperative steady-state patients (-82.9±8.7 vs. -97.6±8.8 HU; -79.8±7.6 vs. -92.8±6.8 HU; -74.6±7.1 vs. -87.7±6.9 HU, all P<0.001). According to the multivariable logistic regression analysis, high RCAPCATa and LADPCATa values were associated with AAD regardless of the degree of stenosis [odds ratio (OR) =0.014; 95% confidence interval (CI): 0.001-0.177; P=0.001 and OR =0.010; 95% CI: 0.001-0.189; P=0.002]. PCATa on computed tomography was increased in patients with AAD regardless of the presence or absence of coronary artery disease (CAD). This suggests that vascular inflammation is present in AAD independent of CAD. Further research should be conducted to investigate the potential of this imaging biomarker to predict AAD and monitor patients' responses to therapies for AAD.

Expression of secreted frizzled-related proteins in acute aortic dissection patients and the effects on prognosis.

Secreted frizzled-related proteins (SFRPs) were reported to be involved in cardiovascular diseases. This study aimed to observe plasma SFRP levels in acute aortic dissection (AD) patients and the effects of SFRP expression on AD prognosis. Plasma levels of SFRP1, SFRP2, SFRP3, SFRP4, and SFRP5 were measured in AD patients and non-AD (NAD) patients. The end-point events information of AD patients, including all-cause death and various clinical complications due to aortic dissection, was collected during a 36-month follow-up. The SFRP1, SFRP2, SFRP3, and SFRP4 levels were increased in AD patients compared with those in NAD patients, while the SFRP5 concentrations were decreased. No differences in any of the SFRP levels were observed between the type A group and the type B group. The AD patients with end-point events exhibited higher SFRP1, SFRP2, SFRP3, and SFRP4 concentrations but lower SFRP5 levels than the patients without end-point events. In addition, the AD patients were divided into a high group and a low group based on the median SFRP levels, and Kaplan-Meier analysis revealed that the AD patients with high SFRP1, SFRP2, SFRP4, or SFRP5 levels had a better prognosis than those with low levels. However, the AD patients with high SFRP3 levels exhibited the opposite trends. The binary logistic regression analysis found that SFRP1, SFRP2, SFRP4, and SFRP5 were all negatively correlated with the occurrence of end-point events, while SFRP3 was positively correlated with its occurrence. SFRP levels are all changed in acute AD, which may affect the prognosis of AD patients. SFRPs may be a target to improve the prognosis of AD.

α-HBDH is a Superior to LDH in Predicting Cardiac Injury in Patients with Acute Aortic Dissection

Objective: Acute aortic dissection (AAD) has a high rate of mortality and postoperative complications, but fewer indicators can predict postoperative cardiac injury complications. This study aimed to investigate whether α-HBDH is superior to LDH as a predictor of in-hospital mortality and postoperative cardiac injury in patients with AAD. Methods: In this retrospective study, a total of 369 patients from 2015 to 2021 were enrolled and divided into three groups (T1: low, T2: medium and T3: high) based on the tertiles of α-HBDH levels on admission. The relationship between α-HBDH and AAD was determined by correlation analysis and logistic regression model, with the consolidation using Kaplan-Meier and restricted cubic spline (RCS) analysis for predicting the in-hospital death and cardiac injury complications. Last, the relationship between α-HBDH levels and in-hospital mortality and cardiac injury was further verified through subgroup analysis. Results: In the logistic regression model, α-HBDH in the high-level group was 9.869 times that in the low-level group [OR (95CI): 9.869 (2.148-45.349), P=0.003], while this feature was not observed in LDH [OR (95CI): 1.437 (0.342-6.034), P=0.621]. Kaplan-Meier analysis showed that increased α-HBDH levels within 30 days were associated with poor survival within 30 days in AAD patients (log rank test, P&lt;0.01), especially in acute stanford A dissection. RCS showed that 204 U/L was the optimal cut-off value of α-HBDH for in-hospital mortality and postoperative cardiac injury, which facilitated clinical stratification of patients with AAD. Subgroup analysis confirmed a stable correlation between α-HBDH level and hospital mortality and cardiac injury (P&gt;0.05). Conclusion: α-HBDH would be better than LDH in predicting the in-hospital death and postoperative cardiac injury, guiding admission stratification of patients with AAD.

Serum Sema7A is increased in patients with acute aortic dissection

ABSTRACT Background To observe the level of serum Sema7A in acute aortic dissection (AAD) and its diagnostic value for AAD. Research design and methods Patients with sudden chest pain including AAD, acute myocardial infarction (AMI) or pulmonary embolism (PE) were enrolled. Patients without chest pain or cardiovascular diseases were included as the controls. Serum Sema7A and plasma D-dimer were detected and compared in each group. Results 85 AAD patients, 55 AMI patients, 15 PE patients, and 30 controls were enrolled. The concentration of Serum Sema7A in the AAD group was significantly higher than that in the control, AMI and PE group. Serum Sema7A was positively correlated with D-dimer. In AAD patients who underwent invasive intervention therapy, serum Sema7A levels were significantly decreased after the intervention. Serum Sema7A was an independent risk factor for the presence of AAD. The areas under the ROC curve of Sema7A and D-dimer for differential diagnosis of AAD from other chest pain disorders were 0.842 (0.776, 0.909) and 0.788 (0.714, 0.862), respectively. Conclusions Sema7A is highly expressed in patients with AAD. Sema7A might be a valuable biomarker for the early diagnosis of AAD and has the potential to differentiate AAD from AMI and PE.

The risk factors of postoperative hypoxemia in patients with Stanford type A acute aortic dissection.

Hypoxemia is one of the most common complications in patients after Stanford type A acute aortic dissection surgery. The aim of this study was to investigate the association of circulating ANG II level with postoperative hypoxemia and to identify the risk factors for postoperative hypoxemia in Stanford type A acute aortic dissection patients. In this study, 88 patients who underwent Stanford type A acute aortic dissection surgery were enrolled. Postoperative hypoxemia is defined by the oxygenation index (OI). Perioperative clinical data were collected and the serum ANG II and sACE2 levels were measured. The differences in the basic characteristics, intraoperative details, biochemical parameters, laboratory test data and clinical outcomes were compared between the hypoxemia group and the non-hypoxemia group by univariate analysis. Multivariate logistic regression analysis was performed on the variables with P < .1 in univariate analysis or that were considered clinically important to identify risk factors for postoperative hypoxemia. Twenty-five patients (28.4%) were considered to have postoperative hypoxemia (OI ≤ 200 mm Hg). The ANG II concentration remained a risk factor associated with postoperative hypoxemia [OR = 1.018, 95% CI (1.003-1.034), P = .022]. The other risk factors remaining in the logistic regression model were BMI [OR = 1.417, 95% CI (1.159-1.733), P = .001] and cTnI [OR = 1.003, 95% CI (1.000-1.005), P = .032]. Elevated levels of ANG II, BMI and cTnI are risk factors for postoperative hypoxemia in patients with Stanford type A acute aortic dissection.

Time-of-day discrepancy for the long term surgical outcome of patients with aortic dissection.

It has been suggested that the time of day when cardiovascular surgery is performed may affect the surgery outcomes. This study investigated whether there was a difference in risk-adjusted mortality and morbidity outcomes between patients undergoing acute aortic dissection during the day or the night. Consecutive patients who had undergone Stanford A acute aortic dissection surgery were enrolled between 2016 and 2020. In the daytime group, surgery was performed between 08:00 and 20:00, and in the nighttime group between 20:00 and 8:00. The primary outcome was in-hospital overall mortality, and the secondary outcomes were overall mortality within a median follow-up time of 35.2 (17.0,53.5) months and the occurrence of re-entry tears and major bleeding. A total of 925 patients were enrolled. The primary outcome of in-hospital overall mortality did not differ significantly between patients who received daytime or nighttime surgery. Similarly, the secondary outcomes of overall mortality during the follow-up and incidence of re-entry tears and major bleeding did not differ significantly between the groups. Subgroup analysis was also performed according to the surgery type (modified triple-branched stent-graft implantation or frozen elephant trunk implantation), and surgical approach (partial upper sternotomy or full median sternotomy) confirming that the time of surgery did not significantly influence the outcomes. Cox regression analysis showed that time from onset to admission (P = 0.036), and time from the onset to surgery (P = 0.045) were significant risk factors for increased mortality during follow-up. The time of day when thoracotomy was performed did not significantly affect the clinical outcome and is therefore not a consideration for the improvement of outcome in Stanford A acute aortic dissection patients.

Metabolomic characterization benefits the identification of acute lung injury in patients with type A acute aortic dissection.

Introduction: Acute aortic dissection (AAD) often leads to the development of acute lung injury (ALI). However, the early detection and diagnosis of AAD in patients with ALI pose significant challenges. The objective of this study is to investigate distinct metabolic alterations in the plasma samples of AAD patients with ALI, AAD patients without ALI, and healthy individuals. Method: Between September 2019 and September 2022, we retrospectively collected data from 228 AAD patients who were diagnosed with ALI through post-surgery chest X-ray and PaO2/FiO2 assessments. Univariate analysis was employed to identify pre-surgery risk factors for ALI. Additionally, we conducted high-throughput target metabolic analysis on 90 plasma samples, comprising 30 samples from AAD patients with ALI, 30 from patients with AAD only, and 30 from healthy controls. After LC-MS spectral processing and metabolite quantification, the recursive feature elimination with cross-validation (RFECV) analysis based on the random forest was used to select the optimal metabolites as a diagnostic panel for the detection of AAD patients with ALI. The support vector machines (SVM) machine learning model was further applied to validate the diagnostic accuracy of the established biomarker panel. Results: In the univariate analysis, preoperative β-HB and TNF-α exhibited a significant association with lung injury (OR = 0.906, 95% CI 0.852-0.965, p = 0.002; OR = 1.007, 95% CI 1.003-1.011, p < 0.0001). The multiple-reaction monitoring analysis of 417 common metabolites identified significant changes in 145 metabolites (fold change >1.2 or <0.833, p < 0.05) across the three groups. Multivariate statistical analysis revealed notable differences between AAD patients and healthy controls. When compared with the non-ALI group, AAD patients with ALI displayed remarkable upregulation in 19 metabolites and downregulation in 4 metabolites. Particularly, combining citric acid and glucuronic acid as a biomarker panel improved the classification performance for distinguishing between the ALI and non-ALI groups. Discussion: Differentially expressed metabolites in the ALI group were primarily involved in amino acids biosynthesis, carbohydrate metabolism (TCA cycle), arginine and proline metabolism, and glucagon signaling pathway. These findings demonstrate a great potential of the targeted metabolomic approach for screening, routine surveillance, and diagnosis of pulmonary injury in patients with AAD.

Short-term effects of air pollution and weather changes on the occurrence of acute aortic dissection in a cold region.

Air pollution and severe weather conditions can adversely affect cardiovascular disease emergencies. Nevertheless, it remains unclear whether air pollutants and low ambient temperature can trigger the occurrence of acute aortic dissection (AAD) in cold regions. We applied a retrospective analysis to assess the short-term effects of air pollution and ambient temperature on the occurrence of AAD in Harbin, China. A total of 564 AAD patients were enrolled from a major hospital in Harbin between January 1, 2017, and February 5, 2021. Weather condition data and air pollutant concentrations, including fine particulate matter smaller than 10 μm (PM10) and 2.5 μm in diameter (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3), were collected every day. Conditional logistic regressions and correlation analysis were applied to analyze the relationship of environmental and atmospheric parameters with AAD occurrence at lags of 0 to 7 days. Specifically, we appraised the air quality index, CO, NO2, SO2, O3, PM10, PM2.5, temperature, dew point temperature, atmospheric pressure, and cloud amount. A total of 1,496 days at risk were assessed, of which 564 patients developed AAD. Specifically, AAD did not occur on 1,043 (69.72%) days, while 1 or more cases occurred on 453 (30.28%) days. Several pollution and weather predictors for AAD were confirmed by multilevel modeling. The air quality index (p = 0.0012), cloud amount (p = 0.0001), and concentrations of PM2.5 (p = 0.0004), PM10 (p = 0.0013), NO2 (p = 0.0007) and O3 (p = 0.0001) predicted AAD as early as 7 days before the incident (lag of 7 days) in the study period. However, only concentrations of the air pollutants NO2 (p = 0.0468) and O3 (p = 0.011) predicted the occurrence of AAD after the COVID-19 outbreak. Similar predictive effects were observed for temperature, dew point temperature, and atmospheric pressure (all p < 0.05) on all days. The risk of AAD is closely related to air pollution and weather characteristics in Harbin. While causation was not determined, the impact of air pollutants on the risk of AAD was reduced after the COVID-19 outbreak.

Circulating exosomal miRNAs as novel biomarkers for acute aortic dissection: A diagnostic accuracy study.

Acute aortic dissection (AAD) is a serious and life-threatening cardiovascular emergency. This study aim to investigate whether MicroRNAs (miRNAs)in circulating exosomes could serve as novel diagnostic biomarkers for AAD. Using miRNA microarray sequencing, the differentially expressed exosomal miRNAs between AAD patients and control subjects were found. In this study, we investigated 8 miRNAs (miR-499a-5p/miR-543/miR-143-3p/miR-4433b-3p/miR-744-5p/miR-4488/miR-202-3p/miR-206), 4 Proteins (Matrix Metalloprotein-9/12)/transforming growth factor-β/D-Dimer) in AAD (n = 75) and Control (n = 86) expression levels between the 2 groups. The combined diagnostic of exosomal miRNAs and Proteins was performed (area under curve [AUC] > 0.8, R > 0.5 and P < .01). The Receiver Operating Characteristic curve was drawn to evaluate the diagnostic efficacy. Predict the gene targets of differentially expressed miRNAs and analyze the functions and signaling pathways of these targets using online databases. The exosomes isolated from the 2 groups of serum were bilayer membranes with a diameter of about 100 nm. Stably expressed in CD9, CD63 and TSG101. Compared with the control subjects, 8 exosomal miRNAs (miR-499a-5p, miR-543, miR-206, miR-143-3p, miR-4433b-3p, miR-744-5p, miR- 4488, and miR-202-3p) were regulated to varying degrees (P < .05). miR-499a-5p, miR-202-3p, and D-Dimer had higher diagnostic efficacy (AUC > 0.90). Among them, miR-499a-5p had the highest diagnostic accuracy, reaching 95%, AUC = 0.99. Co-diagnosis of positively correlated miRNAs and Proteins improves the diagnostic performance. The combined diagnostic accuracy of miR-499a-5p and miR-202-3p was 98% (AUC = 0.998), and the sensitivity and specificity were 98%. The combined diagnostic accuracy of miR-499a-5p and matrix metalloprotein-9 was 98% (AUC = 0.996), and the sensitivity and specificity were 98%. Gene Ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes signaling pathway analysis, some predicted targets of these miRNAs are involved in the pathophysiological process of AAD. Serum exosomal miR-499a-5p, miR-143-3p, and miR-202-3p can be used as potential diagnostic biomarkers for AAD, and the combination of various markers can coordinate and complement each other, and can significantly improve the diagnosis of aortic dissection sensitivity and specificity.

Prognostic Value of Postoperative Platelet to Mean Platelet Volume Ratio for In-hospital Mortality in Type A Acute Aortic Dissection Patients.

Surgical treatment is the most effective method to improve the prognosis of type A acute aortic dissection (TAAAD) patients. Thus, this investigation aimed to evaluate the value of postoperative platelet to mean platelet volume ratio (PMR) in predicting in-hospital mortality in postoperative TAAAD patients and to compare it with preoperative PMR.A retrospective study (171 postoperative patients) was conducted in the hospital from January 2017 to December 2019. Clinical (age, gender, and outcome of the patients' in-hospital mortality), preoperative PMR, and postoperative laboratory results were gathered. The area under the receiver operating characteristic curve (AUC) and logistic regression were employed.Preoperative and postoperative PMR levels were higher in the survivors than in the nonsurvivors (13.44 ± 7.15 versus 9.15 ± 4.05, P = 0.002; 12.02 ± 6.79 versus 6.85 ± 2.42, P < 0.001; respectively). Multivariate logistic regression indicated that postoperative PMR was an independent factor even adjusted with different variables. Moreover, postoperative PMR had the highest area under the receiver operating characteristic curve (AUC) (AUC: 0.778, 95% CI: 0.708-0.838, P < 0.001), with the best prognostic accuracy, followed by preoperative PMR (AUC: 0.721, 95% CI: 0.648-0.787, P < 0.001). The best cutoff value for postoperative PMR was 9.9206, with a high sensitivity (90.3%) and specificity (55.7%).Postoperative PMR should serve as an independent index to predict in-hospital mortality in TAAAD patients. In addition, postoperative PMR are superior to preoperative PMR to recognize high-risk patients.

Impact of seasonal variation on hospital admission and in-hospital mortality of acute cardiovascular diseases: a contemporary nationwide database study

PurposeWhether acute cardiovascular diseases (CVDs), such as acute heart failure (AHF), acute myocardial infarction (AMI), and acute aortic dissection (AAD), have distinct seasonal variations in the number of hospitalizations and in-hospital mortality was investigated using a nationwide database in Japan. MethodsThe hospitalized patients with AHF, AMI, and AAD between April 2012 and March 2020 were identified. Multilevel mixed-effects logistic regression was conducted and adjusted odds ratio (aOR) was calculated. Also, the Poisson regression model was conducted to calculate the peak-to-trough ratio (PTTR) with peak month. ResultsPatients identified were as follows: 752,434 AHF patients (median age, 82 years; male, 52.2%), 346,110 AMI patients (median age, 71 years; male, 72.2%), and 118,538 AAD patients (median age, 72 years; male, 58.0%). The monthly proportion of hospitalized patients was the highest in winter and the lowest in summer in all three diseases. Based on aOR, 14-day mortality was the lowest in spring for AHF, summer for AMI, and spring for AAD. Furthermore, the PTTRs with peak month were 1.24 for AHF in February, 1.34 for AMI in January, and 1.33 for AAD in February. ConclusionsA clear seasonal pattern was observed in the number of hospitalizations and in-hospital mortality of all acute CVDs, independent of confounders.

Platelets reprogram monocyte functions by secreting MMP-9 to benefit postoperative outcomes following acute aortic dissection

Platelets have a great ability to modulate immune responses. Monocyte-platelet aggregates (MPAs) are associated with the pathogenesis of cardiac disease. Notably, a low preoperative platelet count often indicates poor postoperative recovery following acute aortic dissection (AAD). The functions of platelets and MPAs in AAD, however, remain poorly understood. We found that, despite decreased platelet counts, platelets were also activated in AAD patients, with significant alterations in immune-modulating mediators. Of interest, monocytes in AAD patients had a suppressed immune status, which was correlated with poor outcomes following surgery. Interestingly, platelets preferentially aggregated with monocytes, and the levels of MPAs were related to recovery after surgical repair in AAD patients. Platelets restored suppressed monocyte functions in AAD patients by forming aggregates and partly by secreting matrix metalloproteinase-9 (MMP-9). Thus, the results point to a previously unknown mechanism for platelets involving monocyte reprogramming, which may improve postoperative outcomes following complex cardiovascular surgery.

Risk factors for in-hospital death in 2,179 patients with acute aortic dissection.

This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients. Retrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis. The patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (P < 0.05). In Group A, hypotension (OR = 2.01, P = 0.001) and liver dysfunction (OR = 12.95, P < 0.001) were independent risk factors. Tachycardia (OR = 6.08, P < 0.001) and liver dysfunction (OR = 6.36, P < 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of -0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients. This study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies.

Admission Heart Rate and Mortality in Critically Ill Patients with Acute Aortic Dissection.

The association between admission heart rate (HR) and the mortality of critically ill patients with acute aortic dissection (AAD) remains unclear.The data were extracted from the Medical Information Mart for Intensive Care (MIMIC-III) database. Cox regression models and Kaplan-Meier (KM) survival curve were used to explore the association between admission HR and 90-day, 1-year, and 3-year mortality in patients with AAD. Sensitivity analyses were conducted to assess potential bias.A total of 374 eligible AAD patients were included and divided in 4 groups according to admission HR (HR ≤ 70, 71-80, 81-90, and > 90 beats per minute (bpm) ). The patients with AAD in the group with HR > 90 bpm had higher 90-day, 1-year, and 3-year mortality than those in the groups with HR ≤ 70, 71-80, and 81-90 bpm. After adjusting for age, sex, BMI, systolic blood pressure, diastolic blood pressure, SOFA score, SAPSII score, Stanford type, hypertension, coronary artery disease, liver disease, atrial fibrillation, valvular disease, intensive care unit mechanical ventilation, aortic surgery, and thoracic endovascular aortic repair, patients with admission HR > 90 bpm had a higher risk of 90-day, 1-year, and 3-year mortality [adjusted hazard ratio, 95% confidence interval, 5.14 (2.22-11.91) P < 0.001; 4.31 (2.10-8.84) P < 0.001; 3.01 (1.66-5.46) P < 0.001] than those with HR 81-90 bpm. The 90-day, 1-year, and 3-year mortality were similar among the groups with HR ≤ 70, 71-80, and 81-90 bpm.Admission HR > 90 bpm was independently associated with all-cause mortality in critically ill AAD patients, either type A or B aortic dissection.

The association of coagulation indicators with in-hospital acute kidney injury and malignant events of patients with acute aortic dissection: a retrospective cohort study.

Acute kidney injury (AKI) is a prevalent complication of acute aortic dissection (AAD) and is associated with poor outcomes. The onset of AAD may result in endothelial injury due to the formation of the false lumen, which can activate the coagulation pathway and lead to coagulation dysfunction. It serves as a valuable diagnostic and prognostic marker for AAD, but also plays a role in the pathological mechanisms underlying AKI. We aimed to investigate the potential value of coagulation indicators at admission for assessing in-hospital AKI and malignant events after AAD. We identified patients with AAD admitted to the First Affiliated Hospital of Shantou University Medical College from January 2015 to October 2020 and divided them into two groups according to coagulation function. Univariable and multivariable analyses were used to analyze the association between coagulation indicators and AKI and malignant events in patients with AAD. Chi-squared or Fisher exact test and receiver operating characteristic (ROC) curve analysis was conducted to assess the value of coagulation indicators in predicting in-hospital AKI and malignant events. A total of 487 patients were enrolled in this study, including 309 cases with normal coagulation. After the multivariable adjustment, the incidence of in-hospital AKI in the abnormal coagulation group was significantly higher [model 1: 2.061 (1.214-3.501), P=0.007; model 2: 1.833 (1.058-3.177), P=0.031; model 3: 1.836 (1.048-3.216), P=0.034]. The incidence of malignant events was higher in the abnormal prothrombin time (PT) group [model 1: 4.283 (0.983-18.665), P=0.053; model 2: 7.342 (1.467-36.749), P=0.015; model 3: 6.996 (1.377-35.537), P=0.019]. Chi-squared and Fisher exact test showed that PT and abnormal coagulation score (ACS) were statistically different among the AKI groups and malignant event groups. Under ROC analysis, coagulation indicators were helpful to predict AKI (AUC =0.668; P<0.001). Our study confirmed the presence of coagulation dysfunction is associated with an increased risk of AKI and malignant events. It suggested the severity of coagulation dysfunction is positively correlated with the incidence of in-hospital AKI in AAD patients. These results highlight the importance of considering coagulation dysfunction as a potential mechanism underlying AKI and malignant events after AAD.