Chronic-contained rupture of an aortic aneurysm is a rare subset of ruptured aneurysms. The presentation is unusual, and the diagnosis is frequently delayed. Here, we describe a case of contained ...rupture of abdominal aortic aneurysm that presented with signs and symptoms of femoral neuropathy. Clinical and radiological findings were initially misinterpreted. The correct diagnosis was formulated belatedly, causing a progressively increased risk of fatal events. Surgical aortic repair was performed and the postoperative course was uneventful. In conclusion, in the presence of a retroperitoneal mass, a diagnosis of chronic-contained rupture of an abdominal aortic aneurysm should be considered.
Abstract
Background
Carotid atherosclerosis represents one of the complications of diabetes mellitus. In particular, plaque instability contributes to disease progression and stroke incidence. High ...mobility group box-1 (HMGB1) is a nuclear protein involved in promotion and progression of atherosclerosis and cardiovascular diseases. The aim of this study was to analyze the relationship between HMGB1 serum levels, main inflammatory cytokines, the presence of internal carotid stenosis and unstable plaque in a diabetic population.
Research design and methods
We studied 873 diabetic patients, including 347 patients with internal carotid artery stenosis (ICAS) who underwent carotid endarterectomy and 526 diabetic patients without internal carotid artery stenosis (WICAS). At baseline, HMGB1 and the main inflammatory cytokines serum levels were evaluated. For ICAS patients, the histological features of carotid plaque were also collected to differentiate them in patients with stable or unstable atherosclerotic lesions.
Results
We found that HMGB1 serum levels, osteoprotegerin, high-sensitivity C-reactive protein, tumor necrosis factor-alpha and interleukin-6, were significantly higher in diabetic ICAS patients compared to diabetic WICAS patients. Among ICAS patients, individuals with unstable plaque had higher levels of these cytokines, compared to patients with stable plaque. A multivariable stepwise logistic regression analysis showed that HMGB1 and osteoprotegerin remained independently associated with unstable plaque in ICAS patients.
Conclusions
The present study demonstrated that HMGB1 is an independent risk factor for carotid plaque vulnerability in an Italian population with diabetes mellitus, representing a promising biomarker of carotid plaque instability and a possible molecular target to treat unstable carotid plaques and to prevent stroke.
To evaluate the effects of cardiac resynchronization therapy (CRTd) in patients with type 2 diabetes mellitus (T2DM) optimized via automatic vs. echocardiography-guided approach.
The suboptimal ...atrio-ventricular (AV) and inter-ventricular (VV) delays optimization reduces CRTd response. Therefore, we hypothesized that automatic CRTd optimization might improve clinical outcomes in T2DM patients.
We designed a prospective, multicenter study to recruit, from October 2016 to June 2019, 191 consecutive failing heart patients with T2DM, and candidate to receive a CRTd. Study outcomes were CRTd responders rate, hospitalizations for heart failure (HF) worsening, cardiac deaths and all cause of deaths in T2DM patients treated with CRTd and randomly optimized via automatic (n 93) vs. echocardiography-guided (n 98) approach at 12 months of follow-up.
We had a significant difference in the rate of CRTd responders (68 (73.1%) vs. 58 (59.2%), p 0.038), and hospitalizations for HF worsening (12 (16.1%) vs. 22 (22.4%), p 0.030) in automatic vs. echocardiography-guided group of patients. At multivariate Cox regression analysis, the automatic guided approach (3.636 1.271-10.399, CI 95%, p 0.016) and baseline highest values of atrium pressure (automatic SonR values, 2.863 1.537-6.231, CI 95%, p 0.006) predicted rate of CRTd responders. In automatic group, we had significant difference in SonR values comparing the rate of CRTd responders vs. non responders (1.24 ± 0.72 g vs. 0.58 ± 0.46 g (follow-up), p 0.001), the rate of hospitalizations for HF worsening events (0.48 ± 0.29 g vs. 1.18 ± 0.43 g, p 0.001), and the rate of cardiac deaths ( 1.13 ± 0.72 g vs. 0.65 ± 0.69 g, p 0.047).
Automatic optimization increased CRTd responders rate, and reduced hospitalizations for HF worsening. Intriguingly, automatic CRTd and highest baseline values of SonR could be predictive of CRTd responders. Notably, there was a significant difference in SonR values for CRTd responders vs. non responders, and about hospitalizations for HF worsening and cardiac deaths. Clinical trial ClinicalTrials.gov Identifier NCT04547244.
The radial artery: a forgotten conduit Gaudino, Mario; Crea, Filippo; Cammertoni, Federico ...
The Annals of thoracic surgery,
04/2015, Letnik:
99, Številka:
4
Journal Article
Recenzirano
Odprti dostop
We reviewed the published literature on the clinical and angiographic outcome of radial artery (RA) grafts and on the comparison between the RA and the other conduits used in coronary operations. The ...RA is a better graft than the saphenous vein and comparable to the right internal thoracic artery (RITA); moreover, the RA seems a better choice than the RITA in patients at risk of sternal or pulmonary complications. We conclude that the RA should be preferred to the saphenous vein and considered at least equivalent to the RITA as the second conduit during every elective coronary artery bypass procedure.
Abstract
Background
Peripheral arterial disease (PAD) is one of the most disabling cardiovascular complications of type 2 diabetes mellitus and is indeed associated with a high risk of cardiovascular ...and limb adverse events. High mobility group box-1 (HMGB-1) is a nuclear protein involved in the inflammatory response that acts as a pro-inflammatory cytokine when released into the extracellular space. HMBG-1 is associated with PAD in diabetic patients.
The aim of this study was to evaluate the association between serum HMGB-1 levels and major adverse cardiovascular events (MACE) and major adverse limb events (MALE) after lower-extremity endovascular revascularization (LER) in a group of diabetic patients with chronic limb-threatening ischemia (CLTI).
Methods
We conducted a prospective observational study of 201 diabetic patients with PAD and CLTI requiring LER. Baseline serum HMGB-1 levels were determined before endovascular procedure. Data on cardiovascular and limb outcomes were collected in a 12-month follow-up.
Results
During the follow-up period, 81 cases of MACE and 93 cases of MALE occurred. Patients who subsequently developed MACE and MALE had higher serum HMGB-1 levels. Specifically, 7.5 ng/mL vs 4.9 ng/mL (p < 0.01) for MACE and 7.2 ng/mL vs 4.8 ng/mL (p < 0.01) for MALE. After adjusting for traditional cardiovascular risk factors, the association between serum HMGB-1 levels and cardiovascular outcomes remained significant in multivariable analysis. In our receiver operating characteristic (ROC) curve analysis, serum HMGB-1 levels were a good predictor of MACE incidence (area under the curve AUC = 0.78) and MALE incidence (AUC = 0.75).
Conclusions
This study demonstrates that serum HMGB-1 levels are associated with the incidence of MACE and MALE after LER in diabetic populations with PAD and CLTI.
Lower-extremity endovascular revascularization (LER) is often required for diabetic patients with chronic limb threatening ischemia (CLTI). During the post-revascularization period patients may ...unpredictably experience major adverse cardiac events (MACE) and major adverse limb events (MALE). Several families of cytokines are involved in the inflammatory process that underlies the progression of atherosclerosis. According to current evidence, we have identified a panel of possible biomarkers related with the risk of developing MACE and MALE after LER. The aim was to study the relationship between a panel of biomarkers - Interleukin-1 (IL-1) and 6 (IL-6), C-Reactive Protein (CRP), Tumor Necrosis Factor-α (TNF-α), High-Mobility Group Box-1 (HMGB-1), Osteoprotegerin (OPG), Sortilin and Omentin-1- at baseline, with cardiovascular outcomes (MACE and MALE) after LER in diabetic patients with CLTI.
In this prospective non-randomized study, 264 diabetic patients with CLTI undergoing endovascular revascularization were enrolled. Serum levels of each biomarker were collected before revascularization and outcomes' incidence was evaluated after 1, 3, 6 and 12 months.
During the follow-up period, 42 cases of MACE and 81 cases of MALE occurred. There was a linear association for each biomarker at baseline and incident MACE and MALE, except Omentin-1 levels that were inversely related to the presence of MACE or MALE. After adjusting for traditional cardiovascular risk factors, the association between each biomarker baseline level and outcomes remained significant in multivariable analysis. Receiver operating characteristics (ROC) models were constructed using traditional clinical and laboratory risk factors and the inclusion of biomarkers significantly improved the prediction of incident events.
Elevated IL-1, IL-6, CRP, TNF-α, HMGB-1, OPG and Sortilin levels and low Omentin-1 levels at baseline correlate with worse vascular outcomes in diabetic patients with CLTI undergoing LER. Assessment of the inflammatory state with this panel of biomarkers may support physicians to identify a subset of patients more susceptible to the procedure failure and to develop cardiovascular adverse events after LER.
Purposes
Radiomics is a quantitative method able to analyze a high-throughput extraction of minable imaging features. Herein, we aim to develop a CT angiography-based radiomics analysis and machine ...learning model for carotid plaques to discriminate vulnerable from no vulnerable plaques.
Materials and methods
Thirty consecutive patients with carotid atherosclerosis were enrolled in this pilot study. At surgery, a binary classification of plaques was adopted (“hard” vs “soft”). Feature extraction was performed using the R software package Moddicom. Pairwise feature interdependencies were evaluated using the Spearman rank correlation coefficient. A univariate analysis was performed to assess the association between each feature and the plaque classification and chose top-ranked features. The feature predictive value was investigated using binary logistic regression. A stepwise backward elimination procedure was performed to minimize the Akaike information criterion (AIC). The final significant features were used to build the models for binary classification of carotid plaques, including logistic regression (LR), support vector machine (SVM), and classification and regression tree analysis (CART). All models were cross-validated using fivefold cross validation. Class-specific accuracy, precision, recall and F-measure evaluation metrics were used to quantify classifier output quality.
Results
A total of 230 radiomics features were extracted from each plaque. Pairwise Spearman correlation between features reported a high level of correlations, with more than 80% correlating with at least one other feature at |ρ|> 0.8. After a stepwise backward elimination procedure, the entropy and volume features were found to be the most significantly associated with the two plaque groups (
p
< 0.001), with AUCs of 0.92 and 0.96, respectively. The best performance was registered by the SVM classifier with the RBF kernel, with accuracy, precision, recall and
F
-score equal to 86.7, 92.9, 81.3 and 86.7%, respectively. The CART classification tree model for the entropy and volume features model achieved 86.7% well-classified plaques and an AUC of 0.987.
Conclusion
This pilot study highlighted the potential of CTA-based radiomics and machine learning to discriminate plaque composition. This new approach has the potential to provide a reliable method to improve risk stratification in patients with carotid atherosclerosis.
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