8 research outputs found

    Enhancing predictive accuracy of the cardiac risk score in open abdominal aortic surgery: the role of left ventricular wall motion abnormalities

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    BackgroundOpen abdominal aortic surgery carries many potential complications, with cardiac adverse events being the most significant concern. The Vascular Study Group Cardiac Risk Index (VSG-CRI) is a commonly used tool for predicting severe cardiac complications and guiding clinical decision-making. However, despite the potential prognostic significance of left ventricular wall motion abnormalities (LVWMAs) and reduced LV ejection fraction (LVEF) for adverse outcomes, the VSG-CRI model has not accounted for them. Hence, the main objective of this study was to analyze the added value of LV wall motion on the discriminatory power of the modified VSG-CRI in predicting major postoperative cardiac complications.MethodsA prospective study was conducted involving 271 patients who underwent elective abdominal aortic surgery between 2019 and 2021. VSG-CRI scores were calculated, and preoperative transthoracic echocardiography was conducted for all patients. Subsequently, a modified version of the VSG-CRI, accounting for reduced LVEF and LVWMAs, was developed and incorporated into the dataset. The postoperative incidence of the composite endpoint of major adverse cardiac events (MACEs), including myocardial infarction, clinically relevant arrhythmias treated with medicaments or by cardioversion, or congestive heart failure, was assessed at discharge from the index hospitalization, with adjudicators blinded to events. The predictive accuracy of both the original and modified VSG-CRI was assessed using C-Statistics.ResultsIn total, 61 patients (22.5%) experienced MACEs. Among these patients, a significantly higher proportion had preoperative LVWMAs compared to those without (62.3% vs. 32.9%, p < 0.001). Multivariable regression analysis revealed the VSG-CRI [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.21–1.77; p < 0.001] and LVWMA (OR 2.76; 95% CI 1.46–5.23; p = 0.002) as independent predictors of MACEs. Additionally, the modified VSG-CRI model demonstrated superior predictability compared to the baseline VSG-CRI model, suggesting an improved predictive performance for anticipating MACEs following abdominal aortic surgery [area under the curve (AUC) 0.74; 95% CI 0.68–0.81 vs. AUC 0.70; 95% CI 0.63–0.77; respectively].ConclusionThe findings of this study suggest that incorporating preoperative echocardiography can enhance the predictive accuracy of the VSG-CRI for predicting MACEs after open abdominal aortic surgery. Before its implementation in clinical settings, external validation is necessary to confirm the generalizability of this newly developed predictive model across different populations

    Impact of concomitant aortic regurgitation on long-term outcome after surgical aortic valve replacement in patients with severe aortic stenosis

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    <p>Abstract</p> <p>Background</p> <p>Prognostic value of concomitant aprtic regurgitation (AR) in patients operated for severe aortic stenosis (AS) is not clarified. The aim of this study was to prospectively examine the impact of presence and severity of concomitant AR in patients operated for severe AS on long-term functional capacity, left ventricular (LV) function and mortality.</p> <p>Methods</p> <p>Study group consisted of 110 consecutive patients operated due to severe AS. The patients were divided into AS group (56 patients with AS without AR or with mild AR) and AS+AR group (54 patients with AS and moderate, severe or very severe AR). Follow-up included clinical examination, six minutes walk test (6MWT) and echocardiography 12 and 104 months after AVR.</p> <p>Results</p> <p>Patients in AS group had lower LV volume indices throughout the study than patients in AS+AR group. Patients in AS group did not have postoperative decrease in LV volume indices, whereas patients in AS+AR group experienced decrease in LV volume indices at 12 and 104 months. Unlike LV volume indices, LV mass index was significantly lower in both groups after 12 and 104 months as compared to preoperative values. Mean LVEF remained unchanged in both groups throughout the study. NYHA class was improved in both groups at 12 months, but at 104 months remained improved only in patients with AS. On the other hand, distance covered during 6MWT was longer at 104 months as compared to 12 months only in AS+AR group (p = 0,013), but patients in AS group walked longer at 12 months than patients in AS+AR group (p = 0,002). There were 30 deaths during study period, of which 13 (10 due to cardiovascular causes) in AS group and 17 (12 due to cardiovascular causes) in AS+AR group. Kaplan-Meier analysis showed that the survival probability was similar between the groups. Multivariate analysis identified diabetes mellitus (beta 1.78, p = 0.038) and LVEF < 45% (beta 1.92, p = 0.049) as the only independent predictor of long-term mortality.</p> <p>Conclusion</p> <p>Our data indicate that the preoperative presence and severity of concomitant AR has no influence on long-term postoperative outcome, LV function and functional capacity in patients undergoing AVR for severe AS.</p

    Evaluation of Prognosis of Aortic Valve Stenosis: A New Approach Based on Transvalvular Energy Loss Index

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    BACKGROUND: Estimation of aortic valve stenosis is not always sufficient based on standard parameters such as transvalvular pressure gradient (PG) or effective orifice area (EOA). We used transvalvular energy loss index (ELI) to provide more accurate information about myocardial reserve and patient’s prognosis. AIM: The aim of the study was to present the benefit of using ELI as a parameter that provides a more accurate estimation of aortic stenosis (AS) severity and influence on ventricular function. Second objective was to evaluate the performance of this index when predicting the mortality rate of patients. METHODS: In this follow-up trial from 2002 up 2020, we included 377 patients with reconstructive surgery of AS using bovine/equine pericardium, replacing valve cusps on patient’s aortic fibrous ring. Leaflets were implanted separately, using continuous sutures with 2 supported stitches at newly created commissure, without stent or sowing ring. Using transesophageal ultrasound, intraoperatively and postoperatively, we measured EOA, PG, dimensions of aortic annulus, and sinotubular junction of ascending aorta. Applying Bernoulli equation ELI = (EOA×AA)/(AA−EOA), we calculated the values of ELI. RESULTS: The results showed that ELI is influenced by both flow rate and aortic cross-sectional area (AA). Energy loss is systematically higher (15 ± 2%) in large aorta. ELI coefficient accurately predicted energy loss in all situations (r2 = 0.98). ELI was superior to EOA in predicting endpoints, such as early death after surgery. ELI ≤0.42 cm2/m2 strongly correlates with a higher mortality rate. CONCLUSION: ELI has potential to reflect severity of AS better than EOA. It correlates with preserved myocardial reserve. ELI can be used like a parameter for estimating the pre-operative risk of death in patients with moderate/severe AS

    Lack Of PRSS1 And SPINK1 Polymorphisms In Serbian Acute Pancreatitis Patients

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    Acute pancreatitis represents an acute nonbacterial inflammation of the pancreas caused by a premature and ectopic activation of pancreatic digestive enzymes. Two of the most important genes in pancreatic autodigestion, PRSS1 and SPINK1, were implicated in the earliest discoveries of the genetic background of pancreatitis. However, the distribution of their variations displays interethnic variability, which could significantly affect the magnitude of their proposed effects on this disease worldwide. The aim of the present study was to investigate the distribution of the most important functional variations of PRSS1 (86A>T and 365G>A) and SPINK1 (101A>G), and their influence on the clinical course of acute pancreatitis in Serbian patients. The study enrolled 81 subjects, the severity of disease course was determined using the Atlanta Classification system, and the genotyping was conducted using a PCR-RFLP method. PRSS1 86A>T and 365G>A SNPs were not observed in the study population, while SPINK1 101A>G was present with the frequency of 0.62% (95% CI: 0.00, 3.83%). Due to extremely low frequencies or absences of examined variations, the proposed effect of these SNPs on the severity of acute pancreatitis could not be confirmed. The results do not support routine genotyping of either PRSS1 or SPINK1 in Serbs
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