OBJECTIVE: Aortic intramural hematoma (IMH) is a rare disease. Thus far, only limited data is available and the indications for conservative and endovascular treatment are not well defined. The aim of this study was to investigate clinical presentation, course, CT imaging features and outcome of patients with type B aortic IMHs.
METHODS: We included all patients with type B IMHs between 2012 and 2021 in this retrospective monocentric study. Clinical data, localization, thickness of IMHs and the presence of ulcer-like projections (ULPs) was evaluated before and after treatment.
RESULTS: Thirty five patients (20 females; 70.3 y ± 11 y) were identified. Almost all IMHs (n = 34) were spontaneous and symptomatic with back pain (n = 34). At the time of diagnosis, TEVAR was deemed indicated in 9 patients, 26 patients were treated primarily conservatively. During the follow-up, in another 16 patients TEVAR was deemed indicated. Endovascularly and conservatively treated patients both showed decrease in thickness after treatment. Patients without ULPs showed more often complete resolution of the IMH than patients with ULPs (endovascularly treated 90.9% (10/11) vs 71.4% (5/7); conservatively treated 71.4% (10/14) vs 33.3% (1/3); P = .207). Complications after TEVAR occurred in 32% and more frequently in patients treated primarily conservatively (37.5% vs 22.2%). No in-hospital mortality was observed during follow-up.
CONCLUSIONS: Prognosis of IMH seems favourable in both surgically as well as conservatively treated patients. However, it is essential to identify patients at high risk for complications under conservative treatment, who therefore should be treated by TEVAR. In our study, ULPs seem to be an adverse factor for remodeling.

OBJECTIVE: Acute aortic syndrome (AAS) is uncommon and difficult to diagnose, with great variability in clinical presentation. To develop a computerized algorithm, or clinical decision support system (CDSS), for managing and requesting imaging in the emergency department, specifically computerized tomography of the aorta (CTA), when there is suspicion of AAS, and to determine the effect of implementing this system. To determine the factors associated with a positive radiological diagnosis that improve the predictive capacity of CTA findings.
METHODS: After developing and implementing an evidence-based algorithm, we studied suspected cases of AAS. Chi-squared test was used to analyze the association between the variables included in the algorithm and radiological diagnosis, with 3 categories: no relevant findings, positive for AAS, and alternative diagnoses.
RESULTS: 130 requests were identified; 19 (14.6%) had AAS and 34 (26.2%) had a different acute pathology. Of the 19 with AAS, 15 had been stratified as high risk and 4 as intermediate risk. The probability of AAS was 3.4 times higher in patients with known aortic aneurysm (P = .021, 95% CI 1.2-9.6) and 5.1 times higher in patients with a new aortic regurgitation murmur (P = .019, 95% CI 1.3-20.1). The probability of having an alternative severe acute pathology was 3.2 times higher in patients with hypotension or shock (P = .02, 95% CI 1.2-8.5).
CONCLUSIONS: The use of a CDSS in the emergency department can help optimize AAS diagnosis. The presence of a known aortic aneurysm and new-onset aortic regurgitation were shown to significantly increase the probability of AAS. Further studies are needed to establish a clinical prediction rule.

Epidemiological studies on acute aortic syndrome (AAS) have relied largely on unverified administrative coding, leading to wide-ranging estimates of incidence. This study aimed to evaluate the incidence, management, and outcomes of AAS in Aotearoa New Zealand.
This was a national population-based retrospective study of patients presenting with an index admission of AAS from 2010 to 2020. Cases from the Ministry of Health National Minimum Dataset, National Mortality Collection, and the Australasian Vascular Audit were cross-verified with hospital notes. Poisson regression adjusted for sex and age was used to investigate trends over time.
During the study interval, 1295 patients presented to hospital with confirmed AAS, including 790 with type A (61.0 per cent) and 505 with type B (39.0 per cent) AAS. A total of 290 patients died out of hospital between 2010 and 2018. The overall incidence of aortic dissection including out-of-hospital cases was 3.13 (95 per cent c.i. 2.96 to 3.30) per 100 000 person-years, and this increased by an average of 3 (95 per cent c.i. 1 to 6) per cent per year after adjustment for age and sex adjustment on Poisson regression, driven by increasing type A cases. Age-standardized rates of disease were higher in men, and in Māori and Pacific populations. The management strategies used, and 30-day mortality rates among patients with type A (31.9 per cent) and B (9.7 per cent) disease have remained constant over time.
Mortality after AAS remains high despite advances over the past decade. The disease incidence and burden are likely to continue to increase with an ageing population. There is impetus now for further work on disease prevention and the reduction of ethnic disparities.

Acute aortic syndrome (AAS) is a group of acute and critical conditions, including acute aortic dissection (AAD), acute intramural haematoma and penetrating aortic ulcer. High mortality and morbidity rates result in a poor patient prognosis. Prompt diagnoses and timely interventions are paramount for saving patients\' lives. In recent years, risk models for AAD have been established worldwide; however, a risk evaluation system for AAS is still lacking in China. Therefore, this study aims to develop an early warning and risk scoring system in combination with the novel potential biomarker soluble ST2 (sST2) for AAS.
This multicentre, prospective, observational study will recruit patients diagnosed with AAS at three tertiary referral centres from 1 January 2020 to 31 December 2023. We will analyse the discrepancies in sST2 levels in patients with different AAS types and explore the accuracy of sST2 in distinguishing between them. We will also incorporate potential risk factors and sST2 into a logistic regression model to establish a logistic risk scoring system for predicting postoperative death and prolonged intensive care unit stay in patients with AAS.
This study was registered on the Chinese Clinical Trial Registry website (http://www. chictr. org. cn/). Ethical approval was obtained from the human research ethics committees of Beijing Anzhen Hospital (KS2019016). The ethics review board of each participating hospital agreed to participate. The final risk prediction model will be published in an appropriate journal and disseminated as a mobile application for clinical use. Approval and anonymised data will be shared.
ChiCTR1900027763.

Acute aortic syndrome (AAS) is a life-threatening emergency. It describes three distinct diagnoses: acute aortic dissection, acute intramural hematoma and penetrating atherosclerotic ulcer. There are currently no accurate estimates for incidence, mortality or misdiagnosis. Our objectives were to determine the incidence, mortality and miss rate of acute aortic syndrome in the emergency department (ED).
A population-based retrospective cohort study of anonymously linked data for residents of Ontario, Canada, was carried out. Incident cases of acute aortic syndrome were identified between 2003 and 2018 using a validated algorithm based on ICD-10 codes and death. Incidence (number of cases/population of Ontario), mortality, and miss rate were calculated. Miss rate was defined as when a patient was seen in the ED within 14 days prior to an acute aortic syndrome diagnosis with a presenting complaint consistent with acute aortic syndrome.
There were 1299 cases of acute aortic syndrome over the study period [age mean (SD) 68.03 ± 14.70; female (n = 500, 38.5%); rural areas (n = 111, 8.6%)]. The overall annual incidence for acute aortic syndrome was 0.61 per 100,000. One year mortality decreased from 47.4 to 29.1%. ED mortality was 14.9%. In the 14 days prior to diagnosis 12.5% of patients were seen in the ED with a presentation consistent with acute aortic syndrome.
Annual incidence of acute aortic syndrome was found to be lower than other population-based studies. Also, the burden of mortality is seen in the ED. Education initiatives should focus on the identification of acute aortic syndrome in the ED to address mortality and miss rate.
RéSUMé: INTRODUCTION: Le syndrome aortique aigu (SAA) est une urgence qui met la vie en danger. Il décrit trois diagnostics distincts: dissection aortique aiguë, hématome intramural aigu et ulcère athéroscléreux pénétrant. Il n\'existe actuellement aucune estimation précise de l\'incidence, de la mortalité ou des diagnostics erronés. Nos objectifs étaient de déterminer l\'incidence, la mortalité et le taux d\'échec du syndrome aortique aigu dans le service des urgences (SU). MéTHODES: Une étude de cohorte rétrospective basée sur la population a été réalisée à partir de données liées anonymement pour les résidents de l\'Ontario, Canada. Les cas incidents de syndrome aortique aigu ont été identifiés entre 2003-2018 à l\'aide d\'un algorithme validé basé sur les codes CIM-10 et les décès. L\'incidence (nombre de cas/population de l\'Ontario), la mortalité et le taux d\'absence ont été calculés. Le taux d’omission a été défini comme le cas où un patient a été vu à l’urgence dans les 14 jours précédant un diagnostic de syndrome aortique aigu et que la plainte était conforme au syndrome aortique aigu. RéSULTATS: Il y a eu 1 299 cas de syndrome aortique aigu pendant la période d\'étude (âge moyen (ET) 68,03 ±14,70 ; femmes (n = 500, 38,5 %) ; zones rurales (n = 111, 8,6%)). L\'incidence annuelle globale du syndrome aortique aigu était de 0,61 pour 100 000. La mortalité à un an a diminué de 47,4 % à 29,1 %. La mortalité aux urgences était de 14,9 %. Au cours des 14 jours précédant le diagnostic, 12,5 % des patients ont été vus aux urgences avec une présentation compatible avec le syndrome aortique aigu. CONCLUSIONS: L\'incidence annuelle de syndrome aortique aigu s\'est avérée inférieure à celle d\'autres études basées sur la population. En outre, le poids de la mortalité est observé aux urgences. Les initiatives de formation devraient se concentrer sur l\'identification des syndrome aortique aigu aux urgences afin de réduire la mortalité et le taux d\'échec.

OBJECTIVE: Genetic testing is becoming increasingly important for diagnosis and personalized treatments in aortopathies. Here, we aimed to genetically diagnose a group of acute aortic syndrome (AAS) patients consecutively admitted to an intensive care unit and to explore the clinical usefulness of AAS-associated variants during treatment decision-making and family traceability.
METHODS: We applied targeted next-generation sequencing, covering 42 aortic diseases genes in AAS patients with no signs consistent with syndromic conditions. Detected variants were segregated by Sanger sequencing in available family members. Demographic features, risk factors and clinical symptoms were statistically analyzed by Fisher or Fisher-Freeman-Halton Exact tests, to assess their relationship with genetic results.
RESULTS: Analysis of next-generation sequencing data in 73 AAS patients led to the detection of 34 heterozygous candidate variants in 14 different genes in 32 patients. Family screening was performed in 31 relatives belonging to 9 families. We found 13 relatives harboring the family variant, of which 10 showed a genotype compatible with the occurrence of AAS. Statistical tests revealed that the factors associated with a positive genetic diagnosis were the absence of hypertension, lower age, family history of AAS and absence of pain.
CONCLUSIONS: Our findings broaden the spectrum of the genetic background for AAS. In addition, both index patients and studied relatives benefited from the results obtained, establishing the most appropriate level of surveillance for each group. Finally, this strategy could be reinforced by the use of stastistically significant clinical features as a predictive tool for the hereditary character of AAS.
RESULTS: gov (Identifier: NCT04751058).

Background Acute penetrating aortic ulcers (PAUs) are reported to dynamically evolve into different clinical outcomes ranging from regression to aortic rupture, but no practice guidelines are available in China. Methods and Results All 109 patients with acute PAUs were monitored clinically. At 30 days follow-up, 31 patients (28.44%) suffered from aortic-related adverse events, a composite of aortic-related mortality, aortic dissection, or an enlarged ulcer. In addition, 7 (6.42%) patients had clinically related adverse events, including all-cause mortality, cerebral stroke, nonfatal myocardial infarction, acute heart failure alone or acute exacerbation of chronic heart failure, acute renal failure, arrhythmia, and bleeding events. In the present study, the intervention criteria for the Chinese PAU population included a PAU diameter of 12.5 mm and depth of 9.5 mm. The multivariate analysis showed that an ulcer diameter >12.5 mm (hazard ratio [HR], 3.846; 95% CI, 1.561-9.476; P=0.003) and an ulcer depth >9.5 mm (HR, 3.359; 95% CI, 1.505-7.494; P=0.003) were each independent predictors of aortic-related events. Conclusions Patients with acute PAUs were at high risk for aortic-related adverse events and clinically related adverse events within 30 days after onset. Patients with an ulcer diameter >12.5 mm or an ulcer depth >9.5 mm have a higher risk for disease progression, and early intervention may be recommended.

BACKGROUND: The acute kidney injury (AKI) remains a frequent complication following open thoracic aortic surgery (OTAS) and worsens the postoperative prognosis. It remains unclear that whether the predictors of AKI following OTAS are different in the patients with or without acute aortic syndrome (AAS).
METHODS: Preoperative and intraoperative variables were compared between the patients with or without AKI, and were further analyzed for identifying the potential predictors of postoperative AKI. Subgroup analysis was conducted in the patients with or without AAS, respectively.
RESULTS: AKI after OTAS occurred in 57.6% of the overall cohort, 70.1% of the patients with AAS and 46.7% of the patients without AAS. In the multivariate analysis, history of hypertension (OR 1.011, 95% CI: [1.001-1.022], p = 0.04), preoperative platelet (OR 0.995, 95% CI: [0.991-0.999], p = 0.006) and operation time (OR 1.572, 95% CI: [1.355-1.823], p < 0.001) were identified as independent predictors of postoperative AKI for the overall cohort; CPB time (OR 1.020, 95% CI: [1.009-1.031], p < 0.001) and preoperative LMR (OR 0.823, 95% CI: [0.701-0.966], p = 0.02) as independent predictors for the patients with AAS; age (OR 1.045, 95% CI: [1.015-1.076], p = 0.003), preoperative platelet (OR 0.993, 95% CI: [0.988-0.998], p = 0.04) and operation time (OR 1.496, 95% CI: [1.166-1.918], p = 0.002) as independent predictors for the patients without AAS.
CONCLUSIONS: The patients with AAS carry a higher risk for postoperative AKI compared with those without AAS. The predictive factors for postoperative AKI after OTAS are different for AAS- and non-AAS subgroups and operation time, CPB time and preoperative platelet are modifiable predictors of AKI.