Imaging and Biomarkers in Acute Aortic Syndromes: Diagnostic and Prognostic Implications

A Narrative Review of Biomarkers and Imaging in the Diagnosis of Acute Aortic Syndrome

Acute aortic syndrome (AAS) encompasses a range of life-threatening conditions, including classical dissection, intramural hematoma, and penetrating aortic ulcer. Each of these conditions presents distinct clinical characteristics and carries the potential to progress to rupture. Because AAS can be asymptomatic or present with diverse symptoms, its diagnosis requires clinical evaluation, risk scoring, and biomarkers such as D-dimer (DD), C-reactive protein (CRP), homocysteine, natriuretic peptides (BNP), and imaging modalities like computed tomography (CT), magnetic resonance imaging (MRI), and echocardiography. While this review primarily focuses on widely used and clinically accessible biomarkers and imaging techniques, it also discusses alternative biomarkers proposed for diagnostic use. Although CT remains the gold standard for diagnosis, biomarkers facilitate rapid risk stratification, complementing imaging techniques. Emerging technologies, such as metabolomics, are reshaping diagnostic algorithms. Despite advances in diagnostic methods, challenges such as misdiagnosis and missed diagnoses persist. Ongoing research into novel biomarkers and innovative imaging techniques holds promise for improving diagnostic accuracy and patient outcomes.

A smartphone-based multichannel magnetoelastic immunosensor for acute aortic dissection supplementary diagnosis

Some biomarkers of acute aortic dissection (AAD) can be used for the potential supplementary diagnosis of AAD, such as C-reactive protein (CRP), smooth muscle myosin heavy chain (SmMHC), and D-dimer (D-D). However, the current measurement methods for common markers primarily rely on sophisticated instruments. The operation process is complicated, and the reagents used are expensive. To provide chronic disease monitoring and home self-examination services for potential AAD patients in real time, we developed a smartphone-based multichannel magnetoelastic (ME) immunosensing device to detect protein levels. Our immunosensor reduced the aforementioned restrictions and demonstrated excellent performance for the supplementary diagnosis of AAD. In this paper, we successfully combined the intelligent terminal with the hardware system to sample the resonance frequency shift (RFS) on the multichannel ME immunosensor. According to the target detection objects with their respective antibodies in the immune binding response, multiple experiments were conducted to detect multiple groups of samples, and we found that a CRP concentration, a SmMHC concentration, and a D-D concentration in the range of 0.1-100μg/mL, 1-4ng/mL, and 0.25-5μg/mL were linearly proportional to the RFS of the ME immunosensor, respectively. For CRP, SmMHC, and D-D, the sensitivities were 13.37Hz/μg∙mL-1, 155.19Hz/ng∙mL-1, and 332.72Hz/μg∙mL-1, respectively, and the detection limits were 2.634×10-3μg/mL, 1.155×10-2ng/mL, and 3.687×10-3μg/mL, respectively. The experiments demonstrated that the accuracy and stability of our device were comparable to those of the vector network analyzer (VNA, Calibration instrument).

Practical guidance and clinical applications of transoesophageal echocardiography. A position paper of the working group of echocardiography of the Hellenic Society of Cardiology

Transoesophageal echocardiography (TOE) is a well-established imaging modality, providing more accurate and of higher quality information than transthoracic echocardiography (TTE) for a wide spectrum cardiac and extra-cardiac diseases. The present paper represents an effort by the Echocardiography Working Group (WG) of the Hellenic Cardiology Society to state the essential steps of the typical TOE exam performed in echo lab. This is an educational text, describing the minimal requirements and the preparation of a meticulous TOE examination. Most importantly, it gives practical instructions to obtain and optimize TOE views and analyses the implementation of a combined two-and multi-dimensional protocol for the imaging of the most common cardiac structures during a TOE. In the second part of the article a comprehensive review of the contemporary use of TOE in a wide spectrum of valvular and non-valvular cardiac diseases is provided, based on the current guidelines and the experience of the WG members.

Correlation analysis of gamma-glutamyl transferase to lymphocyte ratio and patients with acute aortic syndrome in China: a propensity score-matched analysis

Background and objectives

Acute aortic syndrome (AAS) is a life-threatening condition in which there is a fracture in the integrity of the aortic wall. gamma-glutamyl transferase to lymphocyte ratio (GLR) is recognized as a risk factor for liver cirrhosis, fibrosis, and hepatocellular carcinoma. However, there are no clinical reports of GLR and AAS. We attempted to determine whether GLR level is associated with AAS in patients from the Chaoshan region of southern China.

Methods

A total of 2,384 patients were recruited in this study and were divided into AAS and no-AAS groups according to the results of CT angiography of the thoracoabdominal aorta. Univariate and multivariate logistic regression was performed to identify risk factors for the occurrence of AAS. ROC was applied to assess the value of D-Dimer, GLR alone, or in combination for the diagnosis of AAS. And a 1:1 propensity score-matched analysis was performed.

Results

Multivariate logistics regression analysis indicated that male, age, hypertension, diabetes, creatinine, D-dimer, and GLR were independent risk factors of AAS patients in the before propensity score-matching cohort. After propensity score-matching, it showed that D-dimer, GLR [OR 3.558(1.891, 6.697); p < 0.001] were independent risk factors of AAS patients. Before propensity score-matching, the area under the curve (AUC) was 0.822 of GLR and 0.767 of D-dimer. When both clinical backgrounds were adjusted, the AUC was 0.773 of GLR and 0.631 of D-dimer. GLR showed high specificity (80.5% and 77.1%), and D-dimer showed high sensitivity (84.7% and 73.6%) in the before and after propensity score-matching cohort.

Conclusion

GLR and D-dimer were independent risk factors of acute aortic syndrome. D-dimer in combination with GLR is more valuable than a single indicator for diagnosing acute aortic syndrome.

The combined use of serum Raman spectroscopy and D dimer testing for the early diagnosis of acute aortic dissection

Objectives

Acute aortic dissection (AAD) is an extremely life-threatening medical emergency, often misdiagnosed in its early stages, resulting in prolonged wait times for rescue. This study aims to identify potential serum biomarkers that can assist in the accurate diagnosis of AAD and effectively differentiate it from other conditions causing severe chest pain.

Methods

A total of 122 patients with AAD and 129 patients with other severe chest pain disorders were included in the study. Serum samples were analyzed by measuring the peak intensities of Raman spectra. For each measurement, the Raman spectrum was accumulated by two accumulations (3 s per acquisition). Logistic regression and nomogram models were developed using these peak intensities as well as D-dimer levels to predict the occurrence of AAD. The clinical utilities of these models were assessed through receiver operating characteristics (ROC) curve analysis, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) in both training and internal test cohorts.

Results

The D-dimer levels of AAD patients were significantly increased, as well as higher intensities at specific Raman peaks, including 505 cm-1, 842 cm-1, 947 cm-1, 1254 cm-1, 1448 cm-1, and 1655 cm-1 when compared to non-AAD patients. Conversely, decreased intensities were observed at Raman peaks such as 750 cm-1, 1004 cm-1, 1153 cm-1, 1208 cm-1, and 1514 cm-1 in AAD patients. Least absolute shrinkage and selection operator regression analysis on the training cohort identified eight potential predictors: D-dimer along with intensity measurements at peaks such as 505 cm-1, 750 cm-1, 1153 cm-1, 1208 cm-1, 1254 cm-1, 1448 cm-1, and 1655 cm-1. The combination of these eight potential predictors demonstrated a good discriminatory performance, with an area under the curve (AUC) value of 0.928 in the training cohort and an AUC of 0.936 in the internal test cohort, outperforming the use of D-dimer alone. Furthermore, DCA curve analysis revealed that leveraging this combination of eight potential predictors would provide substantial net benefits for clinical application. Moreover, this combination significantly augmented discrimination power, as evidenced by a continuous NRI of 39.8 % and IDI of 9.95 % in the training cohort, as well as a continuous NRI of 27.1 % and IDI of 9.95 % in the internal test cohort.

Conclusions

The employment of this combination of eight potential predictors effectively rules out AAD to a greater extent. This study presents a promising diagnostic strategy for early detection using optical diagnostic techniques such as Raman spectroscopy.

Five Year Results of Endovascular versus Medical Therapy in Acute Type B Aortic Intramural Haematoma: Meta-Analysis of Reconstructed Time to Event Data

OBJECTIVE

To evaluate outcomes in the follow up of thoracic endovascular aortic repair (TEVAR) vs. medical therapy in patients with acute type B aortic intramural haematoma (IMH).

DATA SOURCES

The following sources were searched for articles meeting the inclusion criteria and published by July 2023: PubMed/MEDLINE, EMBASE, CENTRAL/CCTR (Cochrane Controlled Trials Register).

REVIEW METHODS

This systematic review with pooled meta-analysis of time to event data followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines, and its protocol was registered on the public platform PROSPERO (CRD42023456222). The following were analysed: overall survival (all cause mortality), aortic related mortality, and restricted mean survival time. Certainty of evidence was evaluated through the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) tool.

RESULTS

Eight studies met the eligibility criteria, including 1 015 patients (440 in the TEVAR group and 575 in the medical therapy group). All studies were observational, and the pooled cohort had a median follow up of 5.1 years. Compared with patients who received medical therapy alone, those who underwent TEVAR had a statistically significantly lower risk of all cause death (HR 0.44, 95% CI 0.30 - 0.65; p < .001; GRADE certainty: low), lower risk of aortic related death (HR 0.04, 95% CI 0.01 - 0.31; p = .002; GRADE certainty: low) and lifetime gain (restricted mean survival time was overall 201 days longer with TEVAR; p < .001).

CONCLUSION

Thoracic endovascular aortic repair may be associated with lower risk of all cause and aortic related death compared with medical therapy in patients with acute type B IMH; however, the underlying data are not strong enough to draw robust clinical conclusions. Randomised controlled trials with large sample sizes and longer follow up are warranted to elucidate this question.

Understanding the current acute aortic syndrome (AAS) pathways-The Collaborative Acute Aortic Syndrome Project (CAASP) protocol

BACKGROUND

Acute aortic syndrome (AAS) is an emergency associated with high peri-hospital mortality rates. Variable clinical presentation makes timely diagnosis challenging and such delays in diagnosis directly impact patient outcomes.

AIMS AND OBJECTIVES

The aims of the Collaborative Acute Aortic Syndrome Project (CAASP) are to characterise and evaluate the current AAS pathways of a cohort of hospitals in the UK, USA and New Zealand to determine if patient outcomes are influenced by the AAS pathway (time to hospital admission, diagnosis and management plan) and demographic, social, geographic and patient-specific factors (clinical presentation and comorbidities). The objectives are to describe different AAS pathways and time duration between hospital admission to diagnosis and management plan instigation, and to compare patient outcomes between pathways.

METHODS

The study is a multicentre, retrospective service evaluation project of adult patients diagnosed on imaging with AAS. It will be coordinated by the UK National Interventional Radiology Trainee Research (UNITE) network and Vascular and Endovascular Research Network (VERN) in conjunction with The Aortic Dissection Charitable Trust (TADCT). All AAS cases diagnosed on imaging between 1st January 2018 to 1st June 2021 will be included and followed-up for 6 months. Eligibility criteria include aortic dissection (AD) Type A, Type B, non A/B, penetrating aortic ulcer, and intramural haematoma. Exclusion criteria are non-AAS pathology, acute on chronic AAS, and age<18. This project will evaluate patient demographics, timing of presentation, patient symptoms, risk factors for AD, physical examination findings, timing to imaging and treatment, hospital stay, and mortality. Univariate and multivariate analysis will be used to identify predictors associated with prolonged time to diagnosis or treatment and mortality at 30 days.

Diagnostic potential of soluble ST2 and D-dimer for Stanford Type B aortic dissection and intramural aortic hematoma

OBJECTIVE

Type B aortic dissection (TBAD) and intramural aortic hematoma (IMH) are common manifestations of Acute Aortic Syndrome (AAS), exhibiting overlapping clinical features. The timely and accurate diagnosis and differentiation between TBAD and IMH are critical for appropriate management. Tumorigenicity 2 (sST2) and D-dimer have been shown to elevate levels in both TBAD and IMH, making them valuable as "rule-out" markers. Hence, we aimed to assess the diagnostic utility of sST2 and D-dimer in distinguishing TBAD from IMH.

METHODS

In this retrospective study, we analyzed serum levels of sST2 and D-dimer in 182 AAS patients, comprising 90 TBAD cases, 92 IMH cases, and 90 non-AAS cases. Serial measurements were taken at 1 h, 6 h, 12 h, 24 h, and 72 h post-admission. Comparative analyses were conducted between TBAD and non-AAS cases, IMH and non-AAS cases, and TBAD and IMH cases. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of sST2 and D-dimer in identifying TBAD or IMH cases.

RESULTS

Both TBAD and IMH patients displayed elevated levels of sST2 and D-dimer compared to non-AAS cases. Notably, sST2 levels were significantly higher in TBAD patients than in IMH patients, whereas D-dimer levels exhibited moderate differences. TBAD patients tended to exhibit elevated levels of either sST2 or D-dimer, with a modest correlation between the two (Pearson correlation coefficient = 0.3614). In contrast, IMH patients showed elevations in both markers, with a positive correlation between them (Pearson correlation coefficient = 0.6814). The ROC analysis revealed that both sST2 (AUC, 0.657; 95 % CI, 0.552-0.753; cutoff value, 27.54 ng/ml) and D-dimer (AUC, 0.695; 95 % CI, 0.591-0.787, cutoff value, 1.215 ng/ml) demonstrated favorable diagnostic performance for TBAD. sST2 exhibited a sensitivity of 80.92 % and a specificity of 75.00 %, while D-dimer showed a sensitivity of 80.92 % and a specificity of 75.00 %. For the diagnosis of IMH, the combined assessment of sST2 and D-dimer (AUC, 0.674; 95 % CI, 0.599-0.768; sensitivity, 69.20 %; specificity, 80.00 %) proved effective.

CONCLUSIONS

Our results indicate that both sST2 and D-dimer show diagnostic potential for TBAD. Elevated levels of either serve as an indicator of TBAD onset. However, concurrent elevation of both markers seems to be indicative of IMH. The combination of increased sST2 and D-dimer levels demonstrates strong diagnostic performance in identifying IMH cases.

Inflammatory profiles define phenotypes with clinical relevance in acute type A aortic dissection

Association of distinct inflammatory profiles with short-term mortality is little known in type A aortic dissection (TAAD). Latent class analysis was used to identify distinct inflammatory profiles based on leukocyte, neutrophils, monocyte, lymphocytes, platelet, fibrinogen, D-dimer, neutrophils-lymphocyte ratio, platelet-lymphocyte ratio, and lymphocyte-monocyte ratio. We identified 193 patients with median age of 56 (IQR 47-63) years and 146 males. Patients were divided as hyper-inflammatory profiles (84 [43.5%]) and hypo-inflammatory profiles (109 [56.5%]). Although baseline characteristics were not different, hyper-inflammatory patients had higher 6-month mortality (20 [23.8%] vs. 11 [10.1%]; P = 0.014) and 30-day mortality (18 [21.4%] vs. 9 [8.3%], P = 0.009) than hypo-inflammatory patients. After adjustment for potential confounders, hyper-inflammatory profiles remain associated with higher risk of 6-month mortality than hypo-inflammatory profiles (adjusted OR 2.427 [95%CI 1.154, 5.105], P = 0.019). Assessment of preoperative inflammatory profiles adds clarity regarding the extent of inflammatory response to TAAD aetiopathologies, highlighting individual anti-inflammatory pharmacotherapy for TAAD. ClinicalTrials.gov Identifier: NCT04398992.

A Novel Tool for Distinguishing Type A Acute Aortic Syndrome from Heart Failure and Acute Coronary Syndrome

Type A acute aortic syndrome (urgent AAS, UAAS) has a low incidence and high mortality rate; however, it is often missed or diagnosed late. Our aim was to create a new tool for distinguishing UAAS by using multiple modalities to select patients for CT aortography. This study included 75 patients with UAAS, 77 with acute coronary syndrome (ACS), and 81 with heart failure (HF) who received urgent treatment after propensity matching. Specific symptoms, past medical history, mediastinal width, region of interest (ROI) ratio in the lung base/apex, D-dimers, and troponin I were investigated to differentiate UAAS from ACS and HF. The most significant variables were selected to create a new scoring system. The UAAS score exhibited a performance AUC of 0.982. A simple UAAS score >1, excluding ROI ratios in lung base/apex, showed an AUC of 0.977, a sensitivity of 96%, and specificity of 92.41%. The results were validated using an external data set of 292 patients (simple UAAS score > 1: AUC of 0.966, sensitivity 93.33%, and specificity 95.36%). The simple UAAS score may be a valuable tool for suspecting UAAS and may reduce the likelihood of misdiagnosis or performing unnecessary CT aortography.

Thoracic Endovascular Aortic Repair versus Optimal Medical Treatment in Patients with Type B Intramural Hematoma: A Meta-Analysis

PURPOSE

We intended to study the effect of thoracic endovascular aortic repair (TEVAR) and optimal medical treatment (OMT) on type B intramural hematoma (BIMH).

METHODS

We searched PubMed, EMbase, Cochrane Library, and China National Knowledge Infrastructure databases that compared TEVAR and OMT in patients with BIMH. Two authors independently assessed the risk of bias using the Newcastle-Ottawa Scale. The rate ratio (RR) and 95% confidence interval were used to calculate the outcome. The primary endpoints were aortic-related death and regression/resolution. Secondary endpoints were all-cause death, progression to dissection, and secondary intervention.

RESULTS

Eight observational studies were included in the analysis. TEVAR reduced aortic-related death (RR 0.22, 95% CI 0.08-0.56, P = 0.002, I² = 24%) and promoted hematoma regression/resolution (RR 1.48, 95% CI 1.05-2.10, P <0.05, I² = 71%) compared to OMT. Moreover, TEVAR was associated with a reduction in progression to dissection (RR 0.32, 95% CI 0.13-0.81, P <0.02, I² = 39%) and secondary intervention (RR 0.18, 95% CI 0.09-0.37, P <0.00001, I² = 38%) compared to OMT. However, all-cause death has no significant difference between the two groups (RR 0.45, 95% CI 0.17-1.19, P = 0.11, I² = 58%).

CONCLUSIONS

The results of this meta-analysis suggested that TEVAR is an effective treatment for BIMH, which can delay the progression of intramural hematoma and promotes regression/resolution. More research about indications of TEVAR is still needed.

Comparisons of potential values of D-dimer and the neutrophil- to-lymphocyte ratio in patients with suspected acute aortic syndrome

OBJECTIVES

This study aimed to investigate and compare the discriminative performance and clinical utility of D-dimer and the neutrophil-to-lymphocyte ratio (NLR) in the early differential diagnosis of acute aortic syndrome (AAS).

METHODS

The consecutive patients presenting to Tianjin Chest Hospital for suspected AAS were retrospectively investigated between June 2018 and December 2021. The baseline values of D-dimer and NLR were analyzed and compared in the study population. The discriminative ability of D-dimer and NLR was illustrated and compared using the area under the receiver operating characteristic (ROC) curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Clinical utility was evaluated by means of decision curve analysis (DCA).

RESULTS

In the study period, a total of 697 participants suspected of having AAS were enrolled and 323 had a final diagnosis of AAS. The baseline level of NLR as well as D-dimer was higher in patients with AAS. The use of NLR showed excellent overall diagnostic performance for AAS with a comparable AUC to that of D-dimer (0.845 vs. 0.822, P > 0.05). The reclassification analyses further confirmed that NLR had better discriminative properties for AAS with a significant NRI of 66.1% and IDI of 12.4% (P < 0.001). Moreover, NLR provided higher net benefit than D-dimer as shown by DCA. Similar results were observed in subgroup analyses according to the different classes of AAS.

CONCLUSIONS

NLR outperformed D-dimer with improved discriminative performance and superior clinical utility in identifying AAS. As a more readily available biomarker, NLR may be a reliable alternative to D-dimer for the screening of suspected AAS in clinical practice.

Association of the high-sensitive cardiac troponin T levels and long-term mortality in patients with acute aortic dissection type A

Introduction

Acute aortic dissection type A is a life-threatening cardiovascular emergency necessitating rapid diagnosis and treatment. We sought a new prognostic tool with cardiac biomarkers and simple inflammatory factors.

Methods

from 2003 to 2014, 50 patients with documented acute aortic dissection type A were entered to this study. These patients were followed up until December 2020; within median follow up of 93.6 months. The patients were evaluated on the association of the baseline characteristics, first laboratory investigation, echocardiographic findings, surgical approach, and long-term mortality.

Results

Total number of mortality during the follow up was 29 (58%) patients, which was significantly higher in medical group (89.4% vs 38.7%, P value=0.001). Multivariable analysis showed only an increase in hs-cTnT levels was suggested as a predictor of mortality (95% CI: 1.06-1.38; HR=1.21; P=0.005), so that for every 100 units increase, patients were 21% more likely to have mortality in long term. Also, performing surgical treatment for aortic dissection was determined as the independent predictor of surviving, so that death was 74.6% less than those who received medical treatment (95% CI: 0.13-0.58; HR=0.27; P=0.001).

Conclusion

hs-cTnT is a potential predictor of mortality in patients with acute aortic dissection type A.

Prediction of in-hospital death following acute type A aortic dissection

Background

Our goal was to create a prediction model for in-hospital death in Chinese patients with acute type A aortic dissection (ATAAD).

Methods

A retrospective derivation cohort was made up of 340 patients with ATAAD from Tianjin, and the retrospective validation cohort was made up of 153 patients with ATAAD from Nanjing. For variable selection, we used least absolute shrinkage and selection operator analysis, and for risk scoring, we used logistic regression coefficients. We categorized the patients into low-, middle-, and high-risk groups and looked into the correlation with in-hospital fatalities. We established a risk classifier based on independent baseline data using a multivariable logistic model. The prediction performance was determined based on the receiver operating characteristic curve (ROC). Individualized clinical decision-making was conducted by weighing the net benefit in each patient by decision curve analysis (DCA).

Results

We created a risk prediction model using risk scores weighted by five preoperatively chosen variables [AUC: 0.7039 (95% CI, 0.643–0.765)]: serum creatinine (Scr), D-dimer, white blood cell (WBC) count, coronary heart disease (CHD), and blood urea nitrogen (BUN). Following that, we categorized the cohort's patients as low-, intermediate-, and high-risk groups. The intermediate- and high-risk groups significantly increased hospital death rates compared to the low-risk group [adjusted OR: 3.973 (95% CI, 1.496–10.552), P &lt; 0.01; 8.280 (95% CI, 3.054–22.448), P &lt; 0.01, respectively). The risk score classifier exhibited better prediction ability than the triple-risk categories classifier [AUC: 0.7039 (95% CI, 0.6425–0.7652) vs. 0.6605 (95% CI, 0.6013–0.7197); P = 0.0022]. The DCA showed relatively good performance for the model in terms of clinical application if the threshold probability in the clinical decision was more than 10%.

Conclusion

A risk classifier is an effective strategy for predicting in-hospital death in patients with ATAAD, but it might be affected by the small number of participants.

A Rare Initial Presentation of Aortic Intramural Hematoma: A Case Report and Literature Review

Aortic intramural hematoma (AIH) is a life-threatening emergency that involves aortic wall integrity and is characterized by either a direct rupture of the vasa vasorum or spontaneous bleeding of an arterial plaque located in the tunica media of the aortic wall. A notable difference between AIH and acute aortic dissection is the absence of an intimal flap, a finding discernable on computed tomography angiography (CTA). Follow-up imaging allows for the monitoring of disease progression or early findings of impending complications. While some patients may require surgical intervention, medical management with blood pressure control remains the mainstay in treatment. Our case describes a patient who was found to be in cardiac arrest secondary to ventricular fibrillation and was then found to have presumed Stanford Type A aortic dissection on CTA. After reviewing the scans, the diagnosis was reclassified to AIH due to the absence of an intimal flap, the patient was then managed medically for AIH with antihypertensive medications.

Identification of FERMT1 and SGCD as key marker in acute aortic dissection from the perspective of predictive, preventive, and personalized medicine

Acute aortic dissection (AAD) is a severe aortic injury disease, which is often life-threatening at the onset. However, its early prevention remains a challenge. Therefore, in the context of predictive, preventive, and personalized medicine (PPPM), it is particularly important to identify novel and powerful biomarkers. This study aimed to identify the key markers that may contribute to the predictive early risk of AAD and analyze their role in immune infiltration. Three datasets, including a total of 23 AAD and 20 healthy control aortic samples, were retrieved from the Gene Expression Omnibus (GEO) database, and a total of 519 differentially expressed genes (DEGs) were screened in the training set. Using the least absolute shrinkage and selection operator (LASSO) regression model and the random forest (RF) algorithm, FERMT1 (AUC = 0.886) and SGCD (AUC = 0.876) were identified as key markers of AAD. A novel AAD risk prediction model was constructed using an artificial neural network (ANN), and in the validation set, the AUC = 0.920. Immune infiltration analysis indicated differential gene expression in regulatory T cells, monocytes, γδ T cells, quiescent NK cells, and mast cells in the patients with AAD and the healthy controls. Correlation and ssGSEA analysis showed that two key markers' expression in patients with AAD was correlated with many inflammatory mediators and pathways. In addition, the drug-gene interaction network identified motesanib and pyrazoloacridine as potential therapeutic agents for two key markers, which may provide personalized medical services for AAD patients. These findings highlight FERMT1 and SGCD as key biological targets for AAD and reveal the inflammation-related potential molecular mechanism of AAD, which is helpful for early risk prediction and targeted prevention of AAD. In conclusion, our study provides a new perspective for developing a PPPM method for managing AAD patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-022-00302-4.

Ascending aortic intramural hematoma: current concepts

PURPOSE OF REVIEW

Type A intramural hematoma (TAIMH) is an acute aortic disease characterized by the presence of hematoma in the aortic media and involving the ascending aorta. Open repair seems to be the first treatment approach, although recent evidence highlights that the best management of TAIMH is controversial. This review will focus on the current concept for TAIMH management and factors affecting the decision making.

RECENT FINDINGS

Recent studies have evaluated the role of open and endovascular repair, as well as conservative management in patients with TAIMH. More specific imaging findings seem to affect decision making for urgent repair.

SUMMARY

Despite TAIMH's acute nature, conservative management seems to represent a valid option for urgent approach, presenting similar mortality to open and endovascular repair. Comparative data are limited, however, in experienced centers, any approach may be applied with encouraging results. Endovascular management, which is mainly applied to manage retrograde TAIMH, is related to lower mortality and morbidity compared to open repair in this group of patients while aortic remodeling seems beneficial with this approach. Imaging findings, as ulcer-like lesions, hematoma thickness, concomitant dissection and aortic diameter, related to higher complication rate, set the indication for interventional management. Further research, including prospective data and registries, and ideally, randomized data may further clarify the best approach and factors indicating urgent repair.

Acute, Chronic, and Treated Aortic Diseases Present Distinguishable Serum Proteome Fingerprints with Protein Profiles That Correlate with Disease Severity

Aortic diseases are a rare but potentially life-threatening condition. We present a serum proteomic study for a spectrum of aortic diseases including thoracic aortic aneurysms (n = 11), chronic dissections (n = 9), acute aortic dissections (n = 11), and surgically treated dissections (n = 19) as well as healthy controls (n = 10) and patients of coronary heart disease (n = 10) to represent non-aortic cardiovascular disease. In total, we identified and quantified 425 proteins across all 70 samples. The different aortic diseases represented distinguishable proteome profiles. We identified protein clusters that positively or negatively correlate with disease severity, including increase of cytosolic tissue leakage proteins and decrease of components of the coagulation and complement system. Further, we identified a serum proteome fingerprint of acute aortic dissections, consisting, among others, of enriched inflammatory markers such as C-reactive protein and members of the S100 protein family. The study underlines the applicability of serum proteomics for the investigation of aortic diseases and highlights the possibility to establish disease-specific prognostic markers.

Gender Differences in Acute Aortic Dissection

Cardiovascular disease (CVD) represents the most important cause of mortality and morbidity worldwide. There is heterogeneity in the epidemiology and management of CVD between male and female patients. In the specific case of acute aortic dissection (AAD), women, at the time of diagnosis, are older than men and complain less frequently of an abrupt onset of pain with delayed presentation to the emergency department. Furthermore, a history of hypertension and chronic obstructive pulmonary disease is more common among women. In type A AAD, women more often experience pleural effusion and coronary artery compromise, but experience less neurological and malperfusion symptoms. They undergo less frequent surgical treatment and have higher overall in-hospital mortality. Conversely, in type B AAD no significant differences were shown for in-hospital mortality between the two genders. However, it should be highlighted that further studies are needed in order to develop AAD gender specific preventive, diagnostic and therapeutic strategies.

High Neutrophil-to-Platelet Ratio Is Associated with Poor Survival in Patients with Acute Aortic Dissection

BACKGROUND

Acute aortic dissection (AAD), a serious and fatal cardiovascular disease, is characterized by inflammation that may further aggravate the condition. We evaluated the value of the neutrophil-to-platelet ratio (NPR) in the prognosis of AAD.

METHODS

We collected records of patients with AAD and clinical data from 2010 to 2020 and followed up on the relevant information for 136 months. The Kaplan-Meier (K-M) survival along with the univariate and multivariate Cox analyses was used to examine the prognostic value of NPR in AAD. In addition, nomograms were constructed by combining NPR, age, Stanford typing, and treatment methods. The accuracy of nomograms was evaluated using calibration plots, and the prediction efficiency of nomograms was evaluated by receiver operating characteristic curve analysis and decision curve analysis (DCA).

RESULTS

The K-M analysis showed that AAD patients with higher NPR exhibited worse prognosis. In addition, different Stanford typing and treatment methods produced varied prognosis results. Univariate and multivariate Cox analyses showed that NPR value, age, classification, and treatment were independent prognostic factors for the overall survival time of patients with AAD. Nomograms constructed by combining NPR, age, Stanford typing, and treatment methods showed good predictive efficacy, and the AUC values for 1-, 3-, and 5-year predicting were 0.82, 0.79, and 0.74, respectively.

CONCLUSIONS

Our results suggest that pretreatment NPR can be used as a potential prognostic marker of overall survival time in patients with AAD.

Efficacy of CRP in combination with D-dimer in predicting adverse postoperative outcomes of patients with acute Stanford type A aortic dissection

Purpose

The present study evaluated the efficacy of C-reactive protein (CRP) and D-dimer and the combination of them as prognostic indicators for patients with acute type A aortic dissection (ATAAD).

Methods

This is a retrospective cohort study. From January 2019 to December 2021, patients with ATAAD admitted to the emergency medicine center of our hospital within 24 h after symptoms (chest pain, back pain, abdominal pain and so on) onset were enrolled in our study. Serum concentration of CRP and D-dimer were measured during hospitalization. Logistic regression was used to evaluate the association between these two biomarkers and in-hospital adverse outcomes (IAO) by adjusting confounding factors. Predictive efficacy was assessed by area under the curve (AUC) of receiver operating characteristic curve.

Results

A total of 199 patients with ATAAD were finally enrolled. They were categorized as Non-IAO group (n = 146) and IAO group (n = 53) according to postoperative outcomes. After controlling for potentially confounding variables, we found categorized variables that admission CRP > 54.28 mg/L, admission D-dimer > 8.45 mg/L and peak D-dimer > 24.89 mg/L were independent predictors of in-hospital adverse outcomes. Multiple Logistic regression analysis revealed that the odd ratios were 2.9 for admission D-dimer > 8.45 [95% Confidence Interval (CI) 1.11–7.5, p = 0.03], 4.9 for admission CRP > 54.28 (95% CI 1.6–14.9, p = 0.005) and 5.7 for peak D-dimer > 24.89 (95% CI 2.49–13, p < 0.001). The predictive accuracy of the combination of three categorized variables (AUC: 0.867, 95% CI 0.813–0.921, p < 0.001) was superior to that of any other one alone.

Conclusion

Admission D-dimer > 8.45 mg/L, peak D-dimer > 24.89 mg/L and admission CRP > 54.28 mg/L are independent predictors of in-hospital adverse outcomes in patients with ATAAD. Combination of these three markers will improve the predictive efficacy.

Early Prediction Model of Acute Aortic Syndrome Mortality in Emergency Departments

Purpose

Acute aortic syndrome is a constellation of life-threatening medical conditions for which rapid assessment and targeted intervention are important for the prognosis of patients who are at high risk of in-hospital death. The current study aims to develop and externally validate an early prediction mortality model that can be used to identify high-risk patients with acute aortic syndrome in the emergency department.

Patients and Methods

This retrospective multi-center observational study enrolled 1088 patients with acute aortic syndrome admitted to the emergency departments of two hospitals in China between January 2017 and March 2021 for model development. A total of 210 patients with acute aortic syndrome admitted to the emergency departments of Peking University Third Hospital between January 2007 and December 2021 was enrolled for model validation. Demographics and clinical factors were collected at the time of emergency department admission. The predictive variables were determined by referring to the results of previous studies and the baseline analysis of this study. The study’s endpoint was in-hospital death. To assess internal validity, we used a fivefold cross-validation method. Model performance was validated internally and externally by evaluating model discrimination using the area under the receiver-operating characteristic curve (AUC). A nomogram was developed based on the binary regression results.

Results

In the development cohort, 1088 patients with acute aortic syndromes were included, and 88 (8.1%) patients died during hospitalization. In the validation cohort, 210 patients were included, and 20 (9.5%) patients died during hospitalization. The final model included the following variables: digestive system symptoms (OR=2.25; P=0.024), any pulse deficit (OR=7.78; P<0.001), creatinine (µmol/L)(OR=1.00; P=0.018), lesion extension to iliac vessels (OR=4.49; P<0.001), pericardial effusion (OR=2.67; P=0.008), and Stanford type A (OR=10.46; P<0.001). The model’s AUC was 0.838 (95% CI 0.784–0.892) in the development cohort and 0.821 (95% CI 0.750–0.891) in the validation cohort, and the Hosmer–Lemeshow test showed p=0.597. The fivefold cross-validation demonstrated a mean accuracy of 0.94, a mean precision of 0.67, and a mean recall of 0.13.

Conclusion

This risk prediction tool uses simple variables to provide robust prediction of the risk of in-hospital death from acute aortic syndrome and validated well in an independent cohort. The tool can help emergency clinicians quickly identify high-risk acute aortic syndrome patients, although further studies are needed for verifying the prospective data and the results of our study.

Misdiagnosis of Thoracic Aortic Disease Occurs Commonly in Emergency Transfers

BACKGROUND

Acute aortic syndromes (AAS) are prone to misdiagnosis by facilities with limited diagnostic experience. We assessed long-term trends in misdiagnosis among patients transferred to a tertiary care facility with presumed AAS.

METHODS

Our institutional transfer center database was queried for emergency transfers in patients with a diagnosis of acute aortic syndromes or thoracic aortic aneurysm between January 2008 and May 2018. 784 patients were classified as emergency transfer for presumed AAS. Transferring diagnosis and actual diagnosis were compared through a review of physician notes and radiology reports from referring facilities and our center.

RESULTS

Mean age was 62 years, with 61% (n=478) men. Differences in transferring diagnosis and actual diagnosis were identified in 89 (11.4%) patients. Among misdiagnosed patients, the wrong classification of Stanford Type A or Type B dissections was identified among 24 (27%) patients. Twenty-three (26%) patients with a referring diagnosis of aortic dissection were found to have no dissection. Eighteen patients (20%) transferred for contained/impending rupture did not have signs of rupture. All misdiagnoses were secondary to misinterpretation of radiographic imaging, with motion artifacts (n=14, 16%) and post-surgical changes (n=22, 25%) being common sources of diagnostic error. Sixty-four (72%) patients underwent repeat scans at our facility due to limited access or sub-optimal quality of outside imaging.

CONCLUSIONS

While AAS misdiagnosis rates appear to be improving from the prior decade, there are opportunities for improved physician awareness through campaigns such as "Think Aorta." Centralized web-based imaging may prevent the costly hazards of unnecessary emergency transfer.