Diagnosis Of Acute Aortic Syndrome Research Articles

Impact of misdiagnosis on the treatment and prognosis of acute aortic syndrome

Abstract Funding Acknowledgements None. Introduction Acute aortic syndrome (AAS) embraces a spectrum of pathologies with relatively low prevalence but associated with high mortality. The clinical presentation of AAS is highly variable and the differential diagnosis with other much more common diseases such as myocardial infarction (AMI) or pulmonary embolism (PE) is often difficult to achieve. AAS detection requires a high index of suspicion and the delay in diagnosis is associated with increased morbidity and mortality. Purpose The aim of this study is to characterize the diagnostic approach to AAS patients in the emergency department (ED) and to study the impact of the initial diagnostic suspicion on the treatment and prognosis of patients with AAS. Methods The "Aorta Code" is an inter-hospital and interdisciplinary care protocol for the management of patients with AAS in a 4-Hospital network. Patients with AAS were prospectively and consecutively collected from 2019 to 2022. The sample was classified into two groups according to whether the initial suspicion was AAA or another clinical entity. The diagnosis of AAS was established by computed tomography in all patients. Time, clinical, treatment and prognostic variables were analyzed. Results A total of 113 patients with AAS were included. Of them, only 38% (34) were initially suspected of having an AAS (Figure). AMI and PE were the initial diagnosis in 34% of patients (Figure). There were no significant differences in age, history of hypertension or other cardiovascular risk factors between the groups (table). Anterior chest pain was more frequent in the "AAS-suspicion" group. The diagnostic time delay was longer in patients with initial misdiagnosis (table). Patients with type A AAS with initial misdiagnosis underwent surgery in a lower proportion (table). Although the differences were not significant, patients with initial misdiagnosis had more postoperative complications and higher mortality. Conclusion It is essential to maintain a high index of diagnostic suspicion for AAS in the ED. Initial misdiagnosis is associated with a delayed diagnosis, delayed surgical treatment and a lower rate of surgery. In addition, although it is a small sample size, this group of patients had more postoperative complications and higher mortality.

Acute Aortic Syndromes from Diagnosis to Treatment-A Comprehensive Review.

This work aims to provide a comprehensive description of the characteristics of a group of acute aortic diseases that are all potentially life-threatening and are collectively referred to as acute aortic syndromes (AASs). There have been recent developments in the care and diagnostic plan for AAS. A substantial clinical index of suspicion is required to identify AASs before irreversible fatal consequences arise because of their indefinite symptoms and physical indicators. A methodical approach to the diagnosis of AAS is addressed. Timely and suitable therapy should be started immediately after diagnosis. Improving clinical outcomes requires centralising patients with AAS in high-volume centres with high-volume surgeons. Consequently, the management of these patients benefits from the increased use of aortic centres, multidisciplinary teams and an "aorta code". Each acute aortic entity requires a different patient treatment strategy; these are outlined below. Finally, numerous preventive strategies for AAS are discussed. The keys to good results are early diagnosis, understanding the natural history of these disorders and, where necessary, prompt surgical intervention. It is important to keep in mind that chest pain does not necessarily correspond with coronary heart disease and to be alert to the possible existence of aortic diseases because once antiplatelet drugs are administered, a blocked coagulation system can complicate aortic surgery and affect prognosis. The management of AAS in "aortic centres" improves long-term outcomes and decreases mortality rates.

An audit of the use of unenhanced imaging in the diagnosis of acute aortic syndrome

An audit of the use of unenhanced imaging in the diagnosis of acute aortic syndrome

Diagnosis of Acute Aortic Syndrome in the Emergency Department (DAShED) study: an observational cohort study of people attending the emergency department with symptoms consistent with acute aortic syndrome

BackgroundThe diagnosis of acute aortic syndrome (AAS) is commonly delayed or missed in the ED. We describe characteristics of ED attendances with symptoms potentially associated with AAS, diagnostic performance of...

Evaluation of the Canadian Clinical Practice Guidelines Risk Prediction Tool for Acute Aortic Syndrome: The RIPP Score.

Acute aortic syndrome (AAS) is a rare clinical syndrome with a high mortality rate. The Canadian clinical practice guideline for the diagnosis of AAS was developed in order to reduce the frequency of misdiagnoses. As part of the guideline, a clinical decision aid was developed to facilitate clinician decision-making (RIPP score). The aim of this study is to validate the diagnostic accuracy of this tool and assess its performance in comparison to other risk prediction tools that have been developed. This was a historical case-control study. Consecutive cases and controls were recruited from three academic emergency departments from 2002-2020. Cases were identified through an admission, discharge, or death certificated diagnosis of acute aortic syndrome. Controls were identified through presenting complaint of chest, abdominal, flank, back pain, and/or perfusion deficit. We compared the clinical decision tools' C statistic and used the DeLong method to test for the significance of these differences and report sensitivity and specificity with 95% confidence intervals. We collected data on 379 cases of acute aortic syndrome and 1340 potential eligible controls; 379 patients were randomly selected from the final population. The RIPP score had a sensitivity of 99.7% (98.54-99.99). This higher sensitivity resulted in a lower specificity (53%) compared to the other clinical decision aids (63-86%). The DeLong comparison of the C statistics found that the RIPP score had a higher C statistic than the ADDRS (-0.0423 (95% confidence interval -0.07-0.02); P < 0.0009) and the AORTAs score (-0.05 (-0.07 to -0.02); P = 0.0002), no difference compared to the Lovy decision tool (0.02 (95% CI -0.01-0.05 P < 0.25)) and decreased compared to the Von Kodolitsch decision tool (0.04 (95% CI 0.01-0.07 P < 0.008)). The Canadian clinical practice guideline's AAS clinical decision aid is a highly sensitive tool that uses readily available clinical information. It has the potential to improve diagnosis of AAS in the emergency department.

The D-Dimer to Troponin Ratio Is a Novel Marker for the Differential Diagnosis of Thoracic Acute Aortic Syndrome from Non-ST Elevation Myocardial Infarction.

Thoracic acute aortic syndrome (AAS) and non-ST elevation myocardial infarction (NSTEMI) have similar clinical presentations, making them difficult to differentiate. This study aimed to identify useful biomarkers for the differential diagnosis of thoracic AAS and NSTEMI. This was a retrospective observational study. consecutive adult patients who visited the emergency department for acute chest pain between January 2015 and December 2021 diagnosed with thoracic AAS or NSTEMI. Clinical variables, including D-dimer (μg/mL) and high-sensitivity troponin T (ng/mL, hs-TnT) levels, were compared between the groups. A total of 52 (30.1%) and 121 (69.9%) patients were enrolled in the thoracic AAS and NSTEMI groups, respectively. Logistic regression analysis revealed that the D-dimer to hs-TnT (D/T) ratio (odds ratio (OR), 1.038; 95% confidence interval (CI), 1.020-1.056; p < 0.001) and the thrombolysis in myocardial infarction (TIMI) score (OR, 0.184; 95% CI, 0.054-0.621; p = 0.006) were associated with thoracic AAS. The D/T ratio had an area under the receiver operating characteristic curve (AUC) of 0.973 (95% CI, 0.930-0.998), and the optimal cutoff value was 81.3 with 91.4% sensitivity and 96.2% specificity. The TIMI score had an AUC of 0.769 (95% CI, 0.644-0.812), and the optimal cutoff value was 1.5 with 96.7% sensitivity and 38.5% specificity. the D/T ratio may be a simple and useful parameter for differentiating thoracic AAS from NSTEMI.

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

ObjectivesThis 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). MethodsThe 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). ResultsIn 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. ConclusionsNLR 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.

Diagnosis of Acute Aortic Syndromes on Non-Contrast CT Images with Radiomics-Based Machine Learning

We aimed to detect acute aortic syndromes (AAS) on non-contrast computed tomography (NCCT) images using a radiomics-based machine learning model. A total of 325 patients who underwent aortic CT angiography (CTA) were enrolled retrospectively from 2 medical centers in China to form the internal cohort (230 patients, 60 patients with AAS) and the external testing cohort (95 patients with AAS). The internal cohort was divided into the training cohort (n = 135), validation cohort (n = 49), and internal testing cohort (n = 46). The aortic mask was manually delineated on NCCT by a radiologist. Least Absolute Shrinkage and Selection Operator regression (LASSO) was used to filter out nine feature parameters; the Support Vector Machine (SVM) model showed the best performance. In the training and validation cohorts, the SVM model had an area under the curve (AUC) of 0.993 (95% CI, 0.965-1); accuracy (ACC), 0.946 (95% CI, 0.877-1); sensitivity, 0.9 (95% CI, 0.696-1); and specificity, 0.964 (95% CI, 0.903-1). In the internal testing cohort, the SVM model had an AUC of 0.997 (95% CI, 0.992-1); ACC, 0.957 (95% CI, 0.945-0.988); sensitivity, 0.889 (95% CI, 0.888-0.889); and specificity, 0.973 (95% CI, 0.959-1). In the external testing cohort, the ACC was 0.991 (95% CI, 0.937-1). This model can detect AAS on NCCT, reducing misdiagnosis and improving examinations and prognosis.

CT characteristics and clinical implications of acute type A aortic intramural hematoma.

Computed tomography (CT) has been increasingly used in the diagnosis of acute aortic syndrome, and a number of high-risk CT imaging features have been reported. We aimed to identify CT imaging findings suggesting high-risk for acute aortic syndrome by examining clinical outcomes of patients with acute type A aortic intramural hematoma (TAIMH). This retrospective study analyzed the relationship of clinical patient characteristics and imaging features with mortality and aortic events in 63 patients receiving initial medical treatment for TAIMH. Multivariate regression analysis was used to determine the predictors of aortic events, and the Kaplan-Meier method was used to analyze survival and aortic events. During a median follow-up of 4.2 years, 25 patients experienced aortic events and 40% of these occurred within 7 days of admission. In total, 12 patients experienced aortic death and 12 patients underwent open aortic surgery or endovascular stenting for aortic disease. In multivariate regression analysis, penetrating atherosclerotic ulcers (PAUs) or ulcer-like projections (ULPs) (P = 0.04) and pericardial effusion (P = 0.03) were independent predictors of aortic events. In the Cox regression model, PAUs/ULPs (P = 0.04) and pericardial effusion (P = 0.04) were independently associated with lower aortic event-free survival. Identification of high-risk CT features is important for clinical decision-making during TAIMH treatment. Early and frequent CT imaging follow-up is required in patients receiving medical treatment. PAUs/ULP and pericardial effusion were the strongest predictors of adverse aortic events.

A sinister needle in an enormous haystack: A clinician survey regarding Acute Aortic Syndrome diagnostic practice in United Kingdom Emergency Departments

Acute Aortic Syndrome (AAS) is a life-threatening condition associated with high diagnostic uncertainty. This results in an unacceptable number of missed cases, which contributes to its high mortality. We designed and distributed a survey to Emergency Departments (EDs) across the United Kingdom to establish the standard practice for investigation and diagnosis of AAS across the UK. 56 EDs across the UK responded. The majority of these did not have a formal work-up pathway for AAS. The estimated CT scanning rates and missed cases of AAS were highly variable between departments. This suggests variation in practice and diagnostic uncertainty. Given its time sensitive nature, the need for a more standardised diagnostic pathway for AAS in EDs is evident. This may aid clinicians rule out AAS more safely and reduce the number of missed cases, which would in turn reduce the high morbidity and mortality associated with AAS.

Progress of CT aortic angiography combined with coronary artery in the evaluation of acute aortic syndrome.

Acute aortic syndrome (AAS) is a group of cardiovascular diseases that seriously threaten human life and health. AAS patients are often complicated with coronary artery disease and other related diseases, which require rapid and clear clinical diagnosis to avoid serious adverse events. In recent years, with the progress of science and technology, a variety of computer tomography (CT) angiography techniques have been applied in the clinic, and the diagnosis rate of AAS with coronary heart disease (CAD) has greatly increased. At the same time, the development of surgical technology and endovascular repair technology has significantly reduced the mortality and complication rate of AAS surgery. In the clinical diagnosis of AAS and related diseases, CT aortic angiography (CTA) combined with coronary CTA is increasingly applied to identify related diseases. Here, the current research progress on the technique of aortic CTA combined with coronary CTA is reviewed.

Novel views on finding an old foe: non-contrast computed tomography in the diagnosis of acute aortic syndromes.

Novel views on finding an old foe: non-contrast computed tomography in the diagnosis of acute aortic syndromes.

Patient-Friendly Summary of the ACR Appropriateness Criteria: Suspected Acute Aortic Syndrome.

Acute aortic syndrome (AAS) is caused by abnormalities affecting the wall of the aorta. The aorta is the main blood vessel that carries blood from the heart to the rest of the body. People with AAS typically have sudden severe pain in the front or back of their chest. Risk factors include high blood pressure and family history. Rapid diagnosis of AAS is important to guide medical or surgical treatment and to avoid serious harm, including death.

Emergency CT misdiagnosis in acute aortic syndrome.

This cross-sectional study assessed the accuracy of emergency CT reports at presentation in acute aortic syndrome (AAS). Retrospective identification of cases of AAS presenting within a large health board with three acute hospitals receiving adult patients between January 2013 and December 2016. CT studies and reports at presentation were reviewed for discrepancies related to diagnosis, complications and classification by two cardiovascular radiologists. The specialist interest of the original reporters, clinically suspected diagnosis at referral for CT and technical adequacy of the scans were also assessed. False-positive diagnoses were identified and evaluated separately. Among 88 consecutive confirmed cases of AAS at least one discrepancy was identified in 31% (n = 27), including failure to identify or misinterpretation of the AAS itself in 15% (n = 13), haemorrhage in 13% (n = 11), branch involvement in 9% (n = 8), and misclassification in 3% (n = 3). All discrepancies occurred among the 80% (n = 70) of cases reported by radiologists without specialist cardiovascular interest. 26% (n = 23/88) of AAS cases were not clinically suspected at referral for CT and although this was associated with suboptimal protocols, only 51% of CT scans among suspected cases were technically adequate. Seven false-positive diagnoses were identified, three of which related to motion artefact. Significant discrepancies are common in the emergency CT assessment of positive cases AAS and this study highlights important pitfalls in CT technique and interpretation. The absence of discrepancies among radiologists with specialist cardiovascular interest suggests both suspected and confirmed cases warrant urgent specialist review. CT angiography is central to the diagnosis of AAS; however, significant radiology discrepancies are common among non-specialists. This study highlights important pitfalls in both CT technique as well as interpretation and supports routine specialist cardiovascular imaging input in the emergency assessment of AAS.

Barriers and facilitators affecting implementation of the Canadian clinical practice guidelines for the diagnosis of acute aortic syndrome

BackgroundAcute aortic syndrome (AAS) is an uncommon, life-threatening emergency that is frequently misdiagnosed. The 2020 Canadian clinical practice guidelines for the diagnosis of AAS incorporate all available evidence into four key recommendations. In order to facilitate the implementation of these recommendations, a clinical decision aid was created. The objective of this study was to identify barriers and facilitators among physicians prior to implementation of the guideline recommendations in a multicentre step wedge cluster randomized control trial.MethodsWe conducted semi-structured interviews with nine emergency room physicians working at five sites distributed between urban academic and rural settings. We used purposive sampling, contacting physicians until data saturation was reached. Interview questions were designed to understand potential barriers and facilitators to guideline recommendation uptake and use. Responses were analysed according to the Theoretical Domains Framework, and overarching themes describing these barriers and facilitators were identified.ResultsTwo themes and six subthemes encompassing 13 theoretical domains were identified. These included clinical decision-making support, awareness of the evidence, social factors, expected consequences, ability of physicians to acquire the necessary data and ease of use. A majority of interviewees anticipated that the guideline recommendations would support clinical decision making and more effectively risk-stratify patients. Other facilitators included endorsement of the guidelines by professional organizations and peers. Barriers to implementation include the fact that laboratory testing and knowledge of the rationale for its use in the investigation of AAS were not widespread. The complexity of the clinical decision aid and concerns about test specificity were also identified as potential barriers to use.ConclusionPhysicians were amenable to using the AAS guideline recommendations to support clinical decision-making and to reduce resource use. A structured intervention should be developed to address the identified barriers and leverage the facilitators in order to ensure successful implementation. Our findings may have implications for the implementation of other guidelines used in emergency departments.

Diagnosis and Management of Acute Aortic Syndrome: A Literature Review

Background : Acute aortic syndrome (AAS) is a potentially fatal disease involving the acute disruption of the aortic wall. Several conditions, such as intramural hematoma (IMH), aortic dissection (AD), penetrating atherosclerotic ulcer (PAU), as well as high mortality rates, are associated with this disease. Hypertension is an essential risk factor, and patients often present with pain. AAS may be challenging to be evaluated, as it has a pre-test probability and several diagnostic tests. Objective : This literature review will discuss the proper diagnosis and management of Acute aortic Syndrome patients. Discussion : Computed Tomography Angiography (CTA) is essential in managing AAS. The significance of prompt diagnosis and treatment of AAS is emphasized further by the current developments in imaging techniques and therapeutic interventions, ultimately leading to increased vigilance of this disease. Management of AAS included initial medical therapy and definitive therapy. Conclusion : In A type AAS, surgical intervention is the definitive therapy, while type B is managed definitively by endovascular or medical treatment

Does implementation of a diagnostic pathway for acute aortic syndrome including D-dimer increase the usage of D-dimer and computed tomography?

The Canadian clinical practice guidelines propose a novel diagnostic pathway incorporating a clinical decision tool and D-dimer to aid in risk stratifying patients for acute aortic syndrome. The objective of this study was to assess if implementation of a diagnostic pathway incorporating D-dimer would increase the usage of D-dimer and computed tomography (CT) in a tertiary care emergency department. Prospective single centre before and after study-recruiting patients over a 6-week period from a tertiary care emergency department. multi model implementation of a diagnostic pathway for acute aortic syndrome incorporating D-dimer. proportion of patients receiving D-dimer testing/CT in the 2 weeks before and after implementation. We included 982 patients (Female 55%, Age mean 51.9, N = 492 pre intervention and N = 490 post intervention). The proportion that received a D-dimer test increased from 6.9 to 10.4% (p < 0.051), while the number of CT aortas remained stable (0.6% vs. 0.6%; p = 0.60). Documentation of pretest probability assessment increased from 1 to 3%, (p < 0.009) following the intervention. In the post intervention cohort, the tool was applied correctly in all cases (N = 17). This single centre study found that a diagnostic pathway for acute aortic syndrome including D-dimer could be implemented without a significant increase in test ordering during this first 2 weeks after implementation. This study adds to the argument for use of D-dimer to help risk stratify patients for the diagnosis of acute aortic syndrome. Future studies are needed to confirm the diagnostic accuracy of this pathway and the long-term impact on resource utilization.

Chest CT Angiography for Acute Aortic Pathologic Conditions: Pearls and Pitfalls

Chest CT angiography (CTA) is essential in the diagnosis of acute aortic syndromes. Chest CTA quality can be optimized with attention to technical parameters pertaining to noncontrast imaging, timing of contrast-enhanced imaging, contrast material volume, kilovolt potential, tube-current modulation, and decisions regarding electrocardiographic-gating and ultra-fast imaging, which may affect the accurate diagnosis of acute aortic syndromes. An understanding of methods to apply to address suboptimal image quality is useful, as the accurate identification of acute aortic syndromes is essential for appropriate patient management. Acute aortic syndromes have high morbidity and mortality, particularly when involving the ascending aorta, and include classic aortic dissection, penetrating atherosclerotic ulcer, and acute intramural hematoma. An understanding of the pathogenesis and distinguishing imaging features of acute aortic syndromes and aortic rupture and some less common manifestations is helpful when interpreting imaging examinations. Related entities, such as ulcerated plaque, ulcerlike projections, and intramural blood pools, and mimics, such as vasculitis and aortic thrombus, are important to recognize; knowledge of these is important to avoid interpretive pitfalls. In addition, an awareness of postsurgical aortic changes can be useful when interpreting CTA examinations when patient history is incomplete. The authors review technical considerations when performing CTA, discuss acute aortic syndromes, and highlight diagnostic challenges encountered when interpreting aortic CTA examinations. ©RSNA, 2021.

Development and Validation of a Simplified Probability Assessment Score Integrated With Age-Adjusted d-Dimer for Diagnosis of Acute Aortic Syndromes.

BackgroundWhen acute aortic syndromes (AASs) are suspected, pretest clinical probability assessment and d‐dimer (DD) testing are diagnostic options allowing standardized care. Guidelines suggest use of a 12‐item/3‐category score (aortic dissection detection) and a DD cutoff of 500 ng/mL. However, a simplified assessment tool and a more specific DD cutoff could be advantageous.Methods and ResultsIn a prospective derivation cohort (n=1848), 6 items identified by logistic regression (thoracic aortic aneurysm, severe pain, sudden pain, pulse deficit, neurologic deficit, hypotension), composed a simplified score (AORTAs) assigning 2 points to hypotension and 1 to the other items. AORTAs≤1 and ≥2 defined low and high clinical probability, respectively. Age‐adjusted DD was calculated as years/age × 10 ng/mL (minimum 500). The AORTAs score and AORTAs≤1/age‐adjusted DD rule were validated in 2 patient cohorts: a high‐prevalence retrospective cohort (n=1035; 22% AASs) and a low‐prevalence prospective cohort (n=447; 11% AASs) subjected to 30‐day follow‐up. The AUC of the AORTAs score was 0.729 versus 0.697 of the aortic dissection detection score (P=0.005). AORTAs score assessment reclassified 16.6% to 25.1% of patients, with significant net reclassification improvement of 10.3% to 32.7% for AASs and −8.6 to −17% for alternative diagnoses. In both cohorts, AORTAs≥2 had superior sensitivity and slightly lower specificity than aortic dissection detection ≥2. In the prospective validation cohort, AORTAs≤1/age‐adjusted DD had a sensitivity of 100%, a specificity of 48.6%, and an efficiency of 43.3%.ConclusionsAORTAs is a simplified score with increased sensitivity, improved AAS classification, and minor trade‐off in specificity, amenable to integration with age‐adjusted DD for diagnostic rule‐out.

Acute aortic dissection case with stroke presentation.

The correct diagnosis of acute aortic syndrome complicated by neurologic symptoms is essential. Performing thrombolytic therapy for acute-stage cerebral infarction would probably be the reason for fatal outcomes. We herein report the case of a 63-year-old man who presented with left hemiparesis and paraparesis. An acute myocardial infarction was excluded by electrocardiography and blood tests. Head computed tomography (CT) showed no remarkable findings. Although there was no chest pain, it was found in CT-angiography that he has an intramural hematoma in the ascending aorta and a severe dissection in the descending aorta. Aortic dissection may mimic acute stroke, in order to make the right decision about the treatment of acute aortic syndrome with neurologic complications, the benefits and risks should therefore be considered in individual patients.