Minimally invasive mitral valve surgery (MIMVS) has become a well-established alternative to traditional median sternotomy at high-volume surgical centers. Advancements in surgical instruments have led to further refinement of MIMVS. However, MIMVS remains limited to select patients in select settings. In this review, we provide a brief overview of the evolution of MIMVS, as well as a technical description of the most relevant aspects of minimally invasive mitral valve surgery.
Background: Major aortopulmonary collateral arteries (MAPCAs) are rare remnants of pulmonary circulation embryological development usually associated with complex congenital anomalies of the right ventricular outflow tract and pulmonary arteries. Effective management requires surgical unifocalization of MAPCAs and native pulmonary arteries (NPAs). Traditional imaging may lack the spatial clarity needed for precise surgical planning.
Aim: This study evaluated the feasibility of integrating three-dimensional (3D) printing and virtual reality (VR) into preoperative planning to improve surgical precision, team communication, and parental understanding. In a prospective cohort study, nine infants undergoing MAPCA unifocalization were included. Four patients underwent conventional imaging-based planning (control), while five were additionally assessed using VR and 3D-printed models (intervention). The outcomes measured included operative times, team confidence, collaboration, and parental satisfaction. Statistical analysis was performed using standard tests.
Results: The intervention group had shorter operative and cardiopulmonary bypass times compared to the control group. Intraoperative complications were absent in the VR/3D group but occurred in the control group. Medical staff in the VR/3D group reported significantly improved understanding of anatomy, surgical preparedness, and team collaboration (p < 0.05). Parents also expressed higher satisfaction, with better comprehension of their child's anatomy and surgical plan.
Conclusions: VR and 3D printing enhanced preoperative planning, surgical precision, and communication, proving valuable for complex congenital heart surgery. These technologies offer promising potential to improve clinical outcomes and patient-family experiences, meriting further investigation in larger studies.
Computed tomography coronary angiography (CTCA) is under-utilised in detecting coronary artery disease (CAD) in obese patients due to concerns about non-evaluable testing. We hypothesise that these concerns are predominantly related to smaller and branch coronary vessels, and CTCA remains adequate for proximal segment stenosis interpretation, which has significant clinical implications. This retrospective cohort study, on consecutive patients referred for CTCA for suspected CAD, grouped patients by body mass index. A 4-point Likert scale assessed image quality, with any poorly visualised segment at the per-patient level resulting in the CTCA being subsequently analysed for proximal coronary artery segment evaluability. Of the 703 patients, 93.5% of the studies were fully evaluable. Patients with a BMI ≥ 40, diabetic patients, and patients with an elevated acquisition heart rate were associated with suboptimal studies. Of the 46 suboptimal studies, 163/182 (90%) of proximal segments were fully evaluable. Non-evaluable segments were derived from seven patients (one with a BMI ≥ 40). Reasons for proximal segment non-evaluability were predominantly due to calcific blooming (12/19 segments). While CTCA may be less reliable for distal and side-branch artery evaluation in obese patients, it remains highly evaluable for stenosis severity of the proximal main coronary segments, which carries prognostic significance. It may therefore be considered a suitable non-invasive anatomic test for patients, regardless of BMI.
Hypertrophic cardiomyopathy (HCM) is a complex and heterogeneous cardiac disorder, often complicated by cardiogenic shock, a life-threatening condition marked by severe cardiac output failure. Managing cardiogenic shock in HCM patients presents unique challenges due to the distinct pathophysiology of the disease, which includes dynamic left ventricular outflow tract obstruction, diastolic dysfunction, and myocardial ischemia. This review discusses current and emerging therapeutic strategies tailored to address the complexities of HCM-associated cardiogenic shock and other diseases with similar pathophysiology that provoke left ventricular outflow tract obstruction. We explore the role of pharmacological interventions, including the use of vasopressors and inotropes, which are crucial in stabilizing hemodynamics but require careful selection to avoid exacerbating the outflow obstruction. Additionally, the review highlights advancements in mechanical circulatory support devices such as extracorporeal membrane oxygenation (ECMO) and left ventricular assist devices (LVADs), which have become vital in the acute management of cardiogenic shock. These devices provide temporary support and bridge patients to recovery, definitive therapy, or heart transplantation, which remains a critical option for those with end-stage disease. Furthermore, the review delves into the latest research and clinical trials that are refining these therapeutic approaches, ensuring they are optimized for HCM patients. The impact of these treatments on patient outcomes, including survival rates and quality of life, is also critically assessed. In conclusion, this review underscores the importance of a tailored therapeutic approach in managing cardiogenic shock in HCM patients, integrating pharmacological and mechanical support strategies to improve outcomes in this high-risk population.
The purpose: Evaluation of the short-term and long-term results of a phased correction of the tetralogy of Fallot (ToF) with stenting of the right ventricular outflow tract (RVOT) in comparison with a one-stage total correction (TC) of the defect.
Materials and methods: Two groups of patients with classical ToF were formed. Group 1 (n = 25; median age = 72 days) was initially represented by children with ToF with a more severe clinical status (median weight = 3.6 kg, with more pronounced cyanosis and with comorbidities). The children of group 1 underwent the first stage of RVOT stenting and the second stage of TC of ToF. Group 2 (n = 25) was represented by older patients, with a higher body weight and SpO2 level, and they underwent a single-stage TC of the defect.
Results: The application of a step-by-step ToF correction approach with RVOT stenting in low-weight newborns with severe hypoxemia demonstrated an equivalent effect on SpO2 dynamics-reverse remodeling of the heart-when compared with a less severe cohort of patients who underwent simultaneous TC of classical ToF. After RVOT stenting in children from group 1, the median SpO2 increased from 80% to 94.5%, the median Z value of the pulmonary artery trunk decreased from -3.46 mm to -2.54 mm, and the median index of end-diastolic volume of the left ventricle decreased from 23.07 mm/m2 to 57.6 mL/m2. TC of ToF in children from group 1 with a phased strategy of correction of the defect was no less successful than in children who underwent simultaneous TC. In the long-term follow-up period after TC of ToF, children from both groups, who were obviously unequal in their initial status, were practically comparable in clinical characteristics, exhibiting features of cardiac remodeling and achieving endpoints. And there were no significant differences between the two groups in the frequency of reaching the endpoints such as re-operations, cerebrovascular events, and death during the annual, three-year, and five-year follow-up period.
Conclusions: The strategy of RVOT stenting followed by TC of ToF in a severe group of children demonstrated comparable results compared with the results of simultaneous TC of ToF in a more stable group of patients during the in-hospital, annual, three-year, and five-year follow-up periods.
The need for a permanent pacemaker (PPM) implantation after surgical aortic valve implantation (SAVR) is a recognized postoperative complication, with potentially long-term reduced survival. From 1987 to 2017, 2500 consecutive patients underwent SAVR with a biological valve with or without concomitant procedures such as CABG or mitral valve repair. Mechanical valves or valves in another position were excluded. Univariate and multivariate analyses were performed. The need for PPM implantation was documented in 2.7% of the cases. Patients with a postoperative PPM were older and had higher risk scores and a higher comorbid burden. Its predictors were a prior SAVR (odds ratio of 5.38, p < 0.001), use of a Perceval valve (3.94, p = 0.008), prior AV block 1-2 (2.86, p = 0.008), and pulmonary hypertension (2.09, p = 0.017). The need for PPM implantation was associated with an increased need for blood products, a prolonged stay in the ICU, and an increased 30-day mortality (2.5% vs. 7.0%, p = 0.005). The median survival decreased from 117 (114-120) to 90 (74-105) months (p < 0.001). The implantation had no significant effect on the freedom of congestive heart failure. The need for a PPM implant is not a benign event but might be a marker for a more severe underlying disease. Improving surgical techniques, especially with the Perceval rapid deployment valve, might decrease the need for a PPM implant.
Objective: Cardiac computed tomography (CT) helps screen coronary artery stenosis in cases with dilated cardiomyopathy (DCM). Extracellular volume fraction (ECV) analysis has recently been eligible for CT.
Method: We evaluated the impact of ECV on the CT to predict the prognosis in DCM patients with heart failure with reduced ejection fraction (HFrEF).
Patients or materials: We analyzed 101 consecutive DCM cases with HFrEF who underwent cardiac CT. All the patients had a lower left ventricular (LV) ejection fraction (LVEF) of less than 40%. We evaluated the effect of ECV to predict the patients' prognosis. Cardiovascular death, hospitalization due to heart failure, and fatal arrhythmic events were included in the major adverse cardiac events (MACE).
Results: MACE occurred in 27 cases (27%). The patients with MACE (27 cases) had an increased ECV on the LVM on the CT (37.2 ± 6.7 vs. 32.2 ± 3.6%, p = 0.0008) compared to the others (74 cases). Based on the receiver operating characteristics curve analysis, the best cutoff value of the ECV on the LVM to predict the MACE was 32.3%. The patients with ECV ≥ 32.3% had significantly higher MACE based on the Kaplan-Meier analysis. The ECV on the LVM was a significant marker to predict MACE based on the univariate Cox proportional hazard model (hazard ratio of 8.00, 95% confidence interval 1.88-33.97, p = 0.0048).
Conclusions: ECV by CT is helpful to predict MACE in cases with DCM and HFrEF.
Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data. This study evaluates seven binary classification algorithms, including Random Forests, Logistic Regression, Naive Bayes, K-Nearest Neighbors (kNN), Support Vector Machines, Gradient Boosting, and Artificial Neural Networks, to understand their effectiveness in predicting CVD. Advanced preprocessing techniques, such as SMOTE-ENN for addressing class imbalance and hyperparameter optimization through Grid Search Cross-Validation, were applied to enhance the reliability and performance of these models. Standard evaluation metrics, including accuracy, precision, recall, F1-score, and Area Under the Receiver Operating Characteristic Curve (ROC-AUC), were used to assess predictive capabilities. The results show that kNN achieved the highest accuracy (99%) and AUC (0.99), surpassing traditional models like Logistic Regression and Gradient Boosting. The study examines the challenges encountered when working with datasets related to cardiovascular diseases, such as class imbalance and feature selection. It demonstrates how addressing these issues enhances the reliability and applicability of predictive models. These findings emphasize the potential of kNN as a reliable tool for early CVD prediction, offering significant improvements over previous studies. This research highlights the value of advanced machine learning techniques in healthcare, addressing key challenges and laying a foundation for future studies aimed at improving predictive models for CVD prevention.
Aims: Patients after heart transplantation (HTX) often experience post-transplant bradycardia, but little is known about the outcomes of early pacemaker dependency after HTX. We compared post-transplant mortality, graft failure, and the requirement for the permanent pacemaker implantation of patients with and without early pacemaker dependency after HTX.
Methods: We screened all adult patients for early pacemaker dependency after HTX (defined as immediately after surgery) who underwent HTX at Heidelberg Heart Center between 1989 and 2022. Patients were stratified by diagnosis and type of early pacemaker dependency after HTX (sinoatrial or atrioventricular conduction disturbance).
Results: A total of 127 of 699 HTX recipients (18.2%) had early pacemaker dependency after HTX, including 52 patients with sinoatrial conduction disturbances (40.9%) and 75 patients with atrioventricular conduction disturbances (59.1%). Patients with early pacemaker dependency after HTX showed both increased 1-year overall mortality after HTX (55.9% vs. 15.2%, p < 0.001) and higher mortality due to graft failure (25.2% vs. 4.2%, p < 0.001). Multivariate analysis revealed early pacemaker dependency after HTX (HR: 5.226, 95% CI: 3.738-7.304, p < 0.001) as an independent risk factor for 1-year mortality after HTX. Patients with early pacemaker dependency after HTX had a higher rate of 30-day (7.1% vs. 0.4%, p < 0.001) and 1-year (11.8% vs. 0.5%, p < 0.001) permanent pacemaker implantation after HTX compared to patients without early pacemaker dependency after HTX.
Conclusions: Patients with early pacemaker dependency after HTX had a significantly higher rate of post-transplant mortality, graft failure, and the requirement for permanent pacemaker implantation.
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