Cardiac diseases that require surgical intervention present a unique challenge during pregnancy and may affect both maternal and neonatal outcomes. This systematic review and meta-analysis aimed to evaluate maternal and neonatal outcomes in pregnant females undergoing cardiac surgery.

A comprehensive manual and electronic search was conducted in PubMed, EMBASE, Cochrane Library, and Web of Sciences databases for studies published up to 31st May 2024. Eligible studies were required to report maternal and neonatal outcomes of women who underwent cardiac surgery during pregnancy. Random-effects meta-analysis was conducted to estimate pooled maternal and neonatal mortality proportions, and the results were presented as risk ratios (RR) with 95% confidence intervals (CIs).

Seventeen studies met the inclusion criteria, comprising a total sample size of 196 pregnant women who underwent cardiac surgery. Cardiac surgery during pregnancy was significantly (p < 0.001) linked to increased maternal and neonatal mortality, with pooled RR of 4.9% (CI: 2.1%-7.6%) and 26.5% (CI: 19.7%-33.4%), respectively.

This study highlights the significant risks associated with cardiac surgery during pregnancy, such as increased risk of maternal and neonatal mortality and higher incidence of preterm labor. Our findings underscore the importance of specialized care and multidisciplinary management for pregnant women with cardiac conditions. Further research is warranted to identify strategies for risk mitigation and improved outcomes in this vulnerable population.

A convolutional neural network (CNN)-enhanced electrocardiogram (ECG) has been reported for detecting mitral regurgitation (MR). This tool may be particularly useful for identifying candidates for echocardiography in patients with chronic atrial fibrillation (AF) to detect atrial functional MR early. The data from a single-center, prospective cohort study (Shinken Database 2010-2017, n = 19,170) were combined with an ECG database. Initially, a CNN model was developed to detect MR (Grade ≥ 3) across the entire cohort using fivefold cross-validation. The model was refined using sublabels, including primary MR, MR with chronic AF and left atrial dilatation, and MR with left ventricular remodeling, to create an integrated neural network (INN) model. We then analyzed the relationship between MR diagnosed by the INN and the MR prevalence in chronic AF patients. In the CNN model, the AUCs of the ROC curve and PR curve in 0.836 (SD: 0.022) and 0.196 (SD: 0.036), which numerically increased to 0.848 (SD: 0.014) and 0.198 (SD: 0.031) in the INN model. The Grad-CAM analysis revealed that the CNN algorithm appears to highlight nonspecific ECG features, such as P-waves in the leads V1 to V2 (or f-wave in the lead V1) and R-wave amplitude or ST-T changes in precordial leads, which may explain the high false-positive rate in the model. When applying the model to CAF patients, although the sensitivity was around 0.9 at the threshold determined by the ROC curve, PPR and F1 score was relatively low. These metrics slightly improved when adjusting the threshold to that corresponding to a sensitivity of 0.8 and further improved by restricting the target population to those with BNP ≥ 100 pg/mL. The INN model improved MR detection performance compared to the initial CNN model, but the overall PPR remained suboptimal. High false-positive rates remained an issue, even in high-prevalence populations such as CAF patients or those with elevated BNP values.

Prolonged corrected QT interval (QTc) is known to be associated with adverse cardiovascular events in patients with heart failure. The delayed heart-to-mediastinum (H/M) ratio obtained from 123I-metaiodobenzylguanidine (MIBG) myocardial scintigraphy is a marker of cardiac sympathetic nervous (CSN) activity and has been proposed as a prognostic marker of severe aortic stenosis (AS). However, the association between prolonged QTc and CSN overactivity in patients with AS remains unclear. This study retrospectively analyzed 83 patients with severe AS who underwent electrocardiography, echocardiography, and 123I-MIBG scintigraphy. Prolonged QTc was defined as QTc > 450 and > 470 ms in men and women, respectively. CSN overactivity was defined as delayed H/M ratio < 2.2 and washout rate (WR) > 34%. Prolonged QTc was detected in 14 patients, and these patients had higher left ventricular (LV) mass index and lower LV ejection fraction as compared to those with normal QTc. A significantly higher proportion of patients with prolonged QTc demonstrated CSN overactivity (p = 0.02). In addition, the prolonged QTc group had a lower delayed H/M ratio and higher WR. QTc was inversely correlated with the delayed H/M ratio in men (r =  - 0.53, p = 0.02) and women (r =  - 0.29, p = 0.02). QTc was positively correlated with WR in men (r = 0.55, p = 0.01) and women (r = 0.42, p = 0.001). Multivariate analysis identified age and prolonged QTc as significantly associated with CSN overactivity. Thus, prolonged QTc is associated with CSN overactivity, as assessed using 123I-MIBG scintigraphy in patients with severe AS.

Rheumatic mitral stenosis (RMS) is the most common manifestation of rheumatic heart disease, with high morbidity and mortality. Interleukin-35 (IL-35) is a novel anti-inflammatory cytokine associated with many autoimmune diseases. However, the relation between IL-35 expression and RMS remains unknown. We aimed to study IL-35 expression in RMS and its association with disease progression.

IL-35 concentration was analyzed in blood samples from 40 patients, including 20 moderate, 20 severe RMS, and 20 healthy controls by ELISA. Mitral valve (MV) IL-35 expression was determined by western blot and immunohistochemistry in patients with RMS (22 and 29 cases, respectively) in comparison to control specimens with mitral valve prolapsed (5 cases, respectively).

IL-35 levels were significantly elevated in the blood of the RMS patients compared to those from healthy subjects(p<0.05) and positively correlated with the severity of RMS (r=0.317, p<0.05). The expression of IL-35 and its subunits (p35 and EBI3) was also detected in MV tissues of patients with moderate or severe RMS. The expression of IL-35 and its subunits (p35 and EBI3) had a positive association with the severity of RMS in MV tissues (r=0.528, p<0.01; r=0.561, p<0.001; r=0.456, p<0.01). Co-localization of p35 and EBI3 was seen in MV tissues of RMS patients in a predominantly perivascular pattern.

We show for the first time an increase of IL-35 level in the blood and MV tissues of RMS patients, which is strongly correlated with the severity of RMS. These results suggest that IL-35 plays an important regulatory role in the progression of RMS.

Patients undergoing coronary artery bypass graft surgery and isolated valve disease surgery may experience redox dyshomeostasis associated with cardiopulmonary bypass (CPB).

We investigated the impact of CPB on systemic redox homeostasis by analyzing redox biomarkers and antioxidant transcription factors preoperatively and postoperatively using spectrophotometric and immunochemical methods.

Our findings indicate significant variations in protein oxidation biomarkers, antioxidant capacity biomarkers, and transcription coactivator peroxisome proliferator-activated receptor-gamma coactivator-1α (PGC-1α) levels after CPB. The ROC analysis indicated that protein carbonyl was valuable in the preoperative (p = 0.009) and postoperative (p = 0.013) periods. We also found that glutathione peroxidase was a valuable redox biomarker during the postoperative period (p = 0.000). An ROC analysis of catalase activity (p = 0.017) before CPB indicated the importance of catalase in eliminating increased hydroperoxide load. The ROC graphs reinforced the value of PGC-1α (p = 0.000) as a biomarker, showing a similar trend to that of catalase before CPB.

The earlier view of "increased oxidative stress and decreased biofunction" has shifted to exploring the physiological role of redox signaling regulation. We believe that future studies on the effects of CPB on systemic redox regulation processes through redox signaling mechanisms will significantly contribute to the relevant literature.

Valvular heart disease (VHD) contributes significantly to cardiovascular-related morbidity worldwide. Aortic valve stenosis is the third most common cardiovascular disease in the Western world, after hypertension and coronary artery disease. Recent studies have reported an association between VHD and the presence of subretinal drusenoid deposits (SDDs), a distinct manifestation of age-related macular degeneration (AMD). However, these findings were based on self-reported questionnaires and relatively modest cohort sizes. Our goal was therefore to investigate the putative associations between AMD and VHD and between the presence of SDDs and VHD.

Retrospective case-control study.

A total of 945 with AMD and 8275 control patients without AMD from a single tertiary center.

All patients with AMD underwent spectral-domain OCT (SD-OCT). The SD-OCT scans were annotated by 2 experienced graders. Among the patients with AMD, 547 had drusen and SDDs, and 398 had drusen only with no SDDs. We also extracted data from all 9220 patients' electronic medical records, including demographics and previous heart valve procedures based on International Classification of Diseases, ninth revision codes.

Heart valve-related diagnoses and procedures performed in both patient groups.

Patients with AMD had a higher prevalence of various VHDs compared with the control group, including increased rates of aortic stenosis (odds ratio [OR], 2.00; 95% confidence interval (CI), 1.40-2.86; P < 0.001), aortic regurgitation (OR, 2.41; 95% CI, 1.49-3.91; P < 0.001), and mitral valve regurgitation (OR, 1.51; 95% CI, 1.13-2.01; P = 0.004). Heart valve procedures were also more prevalent among AMD patients including aortic valve replacement (OR, 1.70; 95% CI, 1.08-2.66; P = 0.019) and tricuspid valve replacement (OR, 3.99; 95% CI, 1.03-15.46; P = 0.03). Moreover, a supervised machine learning model successfully detected the presence of AMD based solemnly on the patient's history of VHD. In the AMD cohort, we found no significant difference in VHD prevalence between patients with nonneovascular AMD and patients with neovascular AMD, or between patients with SDDs and patients without SDDs.

Patients with AMD have a higher prevalence of VHD and are more likely to undergo a heart valve-related procedure compared with patients without AMD, with no difference between patients with SDDs and patients without SDDs in the AMD cohort.

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Transcatheter aortic valve implantation (TAVI) is experiencing continued growth as an option for the treatment of aortic stenosis. Both in vitro and in silico methods have proven reliable in assessing the performance of TAVI devices, which can be used in procedure planning and prototyping new concepts. 3D printing of TAVI frames has the potential for revolutionizing frame designs by making it possible to create more complex geometries. However, the mechanical performance of additively manufactured frames, in terms of crimping and deployment into an aortic root, needs to be verified if such frames are to provide a plausible and reliable method for benchtop testing.

Having previously established a suitable set of process parameters for laser powder bed fusion (LPBF) manufacture of TAVI frames based on the SAPIEN S3 design, the deployment of such a frame into a patient-specific, 3D printed aortic root phantom was undertaken and assessed using a high resolution CT scan of the result. In parallel, a full computational model was developed to simulate the same deployment procedure and validated against the in vitro study. Further, an interesting case study was setup using this approach to assess deployment of the LPBF frame into the same aortic root phantom but with two of the leaflets fused together.

The LPBF-manufactured frame had sufficient radial strength to fully open the leaflets within the aortic root phantom and anchor the frame in place for both fused and non-fused leaflet cases. There was good agreement between the in vitro and in silico tests in terms of frame position with an average nodal position error of 0.37 mm and 1.29 mm for non-fused and fused cases respectively. Similarly, the frame diameter difference between the in vitro and in silico deployments were 1.01% for the non-fused and 3.17% for the fused cases.

Manufacture of a SAPIEN S3 type heart valve frame using LPBF has been shown to provide a viable procedure for producing frames for testing and assessment when crimped and deployed into a model of an aortic root. Further, the validated in silico model developed in this study can be used to computationally design and test novel frame concepts to be manufactured by LPBF.

Aortic valve replacement (AVR) is recommended for symptomatic severe aortic stenosis (AS) patients. However, evidence of its role in asymptomatic patients with severe AS remains controversial. Hence, a systematic review and meta-analysis of randomized controlled trials comparing AVR to conservative management in patients with asymptomatic severe AS was conducted. A systematic literature search was performed on electronic databases including MEDLINE (via PubMed), Embase, and Cochrane CENTRAL Library until November 2024. A random effects model was used to pool individual risk ratios (RRs) with their corresponding 95% confidence intervals (CIs) using Review Manager Version 5.4.1 to calculate pooled effect estimates. Three randomized controlled trials with 1203 patients (42% females) were included. On pooled analysis, AVR significantly reduced the risk of hospitalization for heart failure (RR = 0.11, CI: 0.02-0.56, P = 0.008) compared with conservative care. However, there were no significant differences between the 2 groups in all-cause mortality (RR = 0.63, CI: 0.36-1.11, P = 0.11), stroke (RR = 0.59, CI: 0.35-1.01, P = 0.05), myocardial infarction (RR = 0.43, CI: 0.06-2.92, P = 0.38), or thromboembolic events (RR = 0.54, CI: 0.13-2.29, P = 0.40). In asymptomatic patients with severe AS, AVR significantly reduces the risk of hospitalization due to heart failure, with comparable risks in terms of all-cause mortality, myocardial infarction, stroke, and thromboembolic events compared with conservative management.

Prosthetic heart valves (PHV) have been studied for around 70 years. They are the best alternative to save the life of patients with cardiac valve diseases. However, current PHVs may still cause significant disadvantages to patients. In general, native heart valves show complex structures and reproducing their functions challenges scientists. Valve repair and replacement are the options to heal heart valve diseases (VHDs), such as stenosis and regurgitation, which show high morbidity and mortality worldwide. Valve repair contributes to the performance of cardiac cycles. However, it fails to restore valve anatomy to its normal condition. On the other hand, replacement is the only alternative to treat valve degeneration. It may do so by mechanical or bioprosthetic valves. Although prostheses may restructure patients' cardiac cycle, both prostheses may show limitations and potential disadvantages, such as mechanical valves causing thrombogenicity or bioprosthetic valves, calcification. Thus, prostheses require constant improvements to remedy these limitations. Although the design of mechanical valve structures has improved, their raw materials cause great disadvantages, and alternatives for this problem remain scarce. Cardiac valve tissue engineering emerged 30 years ago and has improved over time, e.g., xenografts and fabricated heart valves serving as scaffolds for cell seeding. Thus, this review describes cardiac valve substitutes, starting with the history of valvular prosthesis transplants and ending with some perspectives to alleviate the limitations of artificial valves.

This study evaluates the use of deep learning techniques to automatically extract and delineate the aortic valve annulus region from contrast-enhanced cardiac CT images. Two approaches, namely, segmentation and object detection, were compared to determine their accuracy.

A dataset of 32 contrast-enhanced cardiac CT scans was analyzed. The segmentation approach utilized the DeepLabv3+ model, while the object detection approach employed YOLOv2. The dataset was augmented through rotation and scaling, and five-fold cross-validation was applied. The accuracy of both methods was evaluated using the Dice similarity coefficient (DSC), and their performance in estimating the aortic valve annulus area was compared.

The object detection approach achieved a mean DSC of 0.809, significantly outperforming the segmentation approach, which had a mean DSC of 0.711. Object detection also demonstrated higher precision and recall, with fewer false positives and negatives. The aortic valve annulus area estimation had a mean error of 2.55 mm.

Object detection showed superior performance in identifying the aortic valve annulus region, suggesting its potential for clinical application in cardiac imaging. The results highlight the promise of deep learning in improving the accuracy and efficiency of preoperative planning for cardiovascular interventions.

Aortic valve disease (AVD) affects millions of people around the world, with no pharmacological intervention available. Widely considered a multi-faceted disease comprising both regurgitative pathogenesis, in which retrograde blood flows back through to the left ventricle, and aortic valve stenosis, which is characterized by the thickening, fibrosis, and subsequent mineralization of the aortic valve leaflets, limiting the anterograde flow through the valve, surgical intervention is still the main treatment, which incurs considerable risk to the patient.

Though originally thought of as a passive degeneration of the valve or a congenital malformation that has occurred before birth, the paradigm of AVD is shifting, and research into the inflammatory drivers of valve disease as a potential mechanism to modulate the pathobiology of this life-limiting pathology is taking center stage. Following limited success in mainstay therapeutics such as statins and mineralisation inhibitors, immunomodulatory strategies are being developed. Immune cell therapy has begun to be adopted in the cancer field, in which T cells (chimeric antigen receptor (CAR) T cells) are isolated from the patient, programmed to attack the cancer, and then re-administered to the patient. Within cardiac research, a novel T cell-based therapeutic approach has been developed to target lipid nanoparticles responsible for increasing cardiac fibrosis in a failing heart. With clonally expanded T-cell populations recently identified within the diseased valve, their unique epitope presentation may serve to identify novel targets for the treatment of valve disease.

Taken together, targeted T-cell therapy may hold promise as a therapeutic platform to target a multitude of diseases with an autoimmune aspect, and this review aims to frame this in the context of cardiovascular disease, delineating what is currently known in the field, both clinically and translationally.

The incidence of aortic valve stenosis (AoS) increases with age, and once diagnosed, symptomatic severe AoS has a yearly mortality rate of 25%. AoS is diagnosed with transthoracic echocardiography (TTE), however, this gold standard is time consuming and operator and acoustic window dependent. As AoS affects the arterial blood pressure waveform, AoS-specific waveform features might serve as a diagnostic tool. Aim of the present study was to develop a novel, non-invasive, AoS detection model based on blood pressures waveforms. This cross-sectional study included patients with AoS undergoing elective transcatheter or surgical aortic valve replacement. AoS was determined using TTE, and patients with no or mild AoS were labelled as patients without AoS, while patients with moderate or severe AoS were labelled as patients with AoS. Non-invasive blood pressure measurements were performed in awake patients. Ten minutes of consecutive data was collected. Several blood pressure-based features were derived, and the median, interquartile range, variance, and the 1st and 9th decile of the change of these features were calculated. The primary outcome was the development of a machine-learning model for AoS detection, investigating multiple classifiers and training on the area under the receiver-operating curve (AUROC). In total, 101 patients with AoS and 48 patients without AoS were included. Patients with AoS showed an increase in left ventricular ejection time (0.02 s, p = 0.001), a delayed maximum upstroke in the systolic phase (0.015 s, p < 0.001), and a delayed maximal systolic pressure (0.03 s, p < 0.001) compared to patients without AoS. With the logistic regression model, a sensitivity of 0.81, specificity of 0.67, and AUROC of 0.79 were found. The majority of the population without AoS was male (85%), whereas in the population with AoS this was evenly distributed (54% males). Age was significantly (5 years, p < 0.001) higher in the population with AoS. In the present study, we developed a novel model able to distinguish no to mild AoS from moderate to severe AoS, based on blood pressure features with high accuracy. Clinical registration number: The study entailing patients with TAVR treatment was registered at ClinicalTrials.gov (NCT03088787, https://clinicaltrials.gov/ct2/show/NCT03088787 ). The study with elective cardiac surgery patients was registered with the Netherland Trial Register (NL7810, https://trialsearch.who.int/Trial2.aspx?TrialID=NL7810 ).

Polyhedral oligomeric silsesquioxane (POSS) is a 3D, cage-like nanoparticle with an inorganic Si-O-Si core and eight tunable corner functional groups. Its well-defined structure grants it distinctive physical, chemical, and biological properties and has been widely used for preparing high-performance materials. Recently, click chemistry has enabled the synthesis of various functional POSS-based materials for diverse biomedical applications. This article reviews the recent applications of POSS-based materials in the biomedical field, including cancer treatment, tissue engineering, antibacterial use, and biomedical imaging. Representative examples are discussed in detail. Among the various POSS-based applications, cancer treatment and tissue engineering are the most important. Finally, this review presents the current limitations of POSS-based materials and provides guidance for future research.

Demonstrate through objective multidisciplinary imaging that subretinal drusenoid deposits (SDDs) in age-related macular degeneration (AMD) are linked to both coexistent valvular heart disease (VHD) and reduced systemic perfusion via cardiac index (CI).

Post-hoc analysis of cross-sectional study. 200 intermediate AMD (iAMD) subjects were assigned by masked readers to two groups: SDD (with or without drusen) and drusen (only) based on multimodal ophthalmic imaging. 65 transthoracic echocardiograms (TTEs) reports were available for cardiologist evaluation of VHD severity of the four cardiac valves and the presences of precursor lesions of aortic sclerosis (ASc) and mitral annular calcification (MAC). Necessary parameters to calculate CI were also obtained. Univariate testing was performed using Fisher's Exact test and t-test.

82.6% (19/23) of the iAMD subjects with at least one moderate/severe VHD had concurrent SDDs (p = 0.0040). All cases of aortic regurgitation (6/6, p = 0.0370) and mitral regurgitation (13/13, p = 0.0004) were found with coexisting SDDs. Stenotic VHD was not significantly associated with SDDs, however 70.7% of subjects with ASc (29/41, p = 0.0108) and 76.0% of subjects with MAC (19/25, 0.0377) had coexisting SDDs. CI was available in 48 subjects and was significantly below normal levels in the SDD cohort (mean CI SDD 1.95 ± 0.60 L/min/m2, non-SDD 2.71 ± 0.73 L/min/m2, p = 0.0004).

Several specific VHDs have been found associated with the SDD form of AMD. Decreased systemic perfusion as measured by CI was also associated with SDDs, which supports a perfusion hypothesis of SDD pathogenesis. Further research is warranted to understand the relationship between cardiovascular disease and SDDs.

Valvular Heart Disease (VHD) is a globally significant cause of mortality, particularly among aging populations. Despite advancements in percutaneous and surgical interventions, there are still uncertainties that remain regarding the risk factors that significantly contribute to this condition within the domain of cardiovascular disease. This study investigates these uncertainties and the role of machine learning in categorizing VHD based on cardiovascular risk factors. It follows a two-part investigation comprising feature extraction and classification phases. Feature extraction is initially performed using a wrapping approach and refined further with binary logistic regression. The second phase employs five classifiers: Artificial Neural Network (ANN), XGBoost, Random Forest (RF), Naïve Bayes, and Support Vector Machine (SVM), along with advanced methods such as SVM combined with Principal Component Analysis (PCA) and a majority-voting ensemble method (MV5). Data on VHD cases were collected from DHQ Hospital Faisalabad using simple random sampling. Various statistical measures, such as the ROC curve, F-measure, sensitivity, specificity, accuracy, MCC, and Kappa are applied to assess the results. The findings reveal that the combination of SVM with PCA achieves the highest overall performance while the MV5 ensemble method also demonstrates high accuracy and balance in sensitivity and specificity. The variation in VHD prevalence linked to specific risk factors highlights the importance of a comprehensive approach to reduce this disease's burden. The Exceptional performance of SVM + PCA and MV5 highlights their significance in diagnosing VHD and advancing knowledge in biomedicine.

Calcific aortic valve disease (CAVD) is one of the most common forms of valvulopathy, with a 50 % elevated risk of a fatal cardiovascular event, and greater than 15,000 annual deaths in North America alone. The treatment standard is valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. The development of early diagnostic and therapeutic strategies requires the fabrication of effective in vitro valve mimetic models to elucidate early CAVD mechanisms.

In this study, we developed a multilayered physiologically relevant 3D valve-on-chip (VOC) system that incorporated aortic valve mimetic extracellular matrix (ECM), porcine aortic valve interstitial cell (VIC) and endothelial cell (VEC) co-culture and dynamic mechanical stimuli. Collagen and glycosaminoglycan (GAG) based hydrogels were assembled in a bilayer to mimic healthy or diseased compositions of the native fibrosa and spongiosa. Multiphoton imaging and proteomic analysis of healthy and diseased VOCs were performed.

Collagen-based bilayered hydrogel maintained the phenotype of the VICs. Proteins related to cellular processes like cell cycle progression, cholesterol biosynthesis, and protein homeostasis were found to be significantly altered and correlated with changes in cell metabolism in diseased VOCs. This study suggested that diseased VOCs may represent an early, adaptive disease initiation stage, which was corroborated by human aortic valve proteomic assessment.

In this study, we developed a collagen-based bilayered hydrogel to mimic healthy or diseased compositions of the native fibrosa and spongiosa layers. When the gels were assembled in a VOC with VECs and VICs, the diseased VOCs revealed key insights about the CAVD initiation process.

Calcific aortic valve disease (CAVD) elevates the risk of death due to cardiovascular pathophysiology by 50 %, however, prevention and mitigation strategies are lacking, clinically. Developing tools to assess early disease would significantly aid in the prevention of disease and in the development of therapeutics. Previously, studies have utilized collagen and glycosaminoglycan-based hydrogels for valve cell co-cultures, valve cell co-cultures in dynamic environments, and inorganic polymer-based multilayered hydrogels; however, these approaches have not been combined to make a physiologically relevant model for CAVD studies. We fabricated a bi-layered hydrogel that closely mimics the aortic valve and used it for valve cell co-culture in a dynamic platform to gain mechanistic insights into the CAVD initiation process using proteomic and multiphoton imaging assessment.

Background: Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. The aim of this systematic review and meta-analysis is to evaluate the diagnostic accuracy of artificial intelligence (AI) algorithms for AS screening.Methods: We conducted a thorough search of six databases. Several evaluation parameters, such as sensitivity, specificity, diagnostic odds ratio (DOR), negative likelihood ratio (NLR), positive likelihood ratio (PLR), and area under the curve (AUC) value were employed in the diagnostic meta-analysis of AI-based algorithms for AS screening. The AI algorithms utilized diverse data sources including electrocardiograms (ECG), chest radiographs, auscultation audio files, electronic stethoscope recordings, and cardio-mechanical signals from non-invasive wearable inertial sensors.Results: Of the 295 articles identified, 10 studies met the inclusion criteria. The pooled estimates for AI-based algorithms in diagnosing AS were as follows: sensitivity 0.83 (95% CI: 0.81-0.85), specificity 0.81 (95% CI: 0.79-0.84), PLR 4.78 (95% CI: 3.12-7.32), NLR 0.20 (95% CI: 0.13-0.28), and DOR 27.11 (95% CI: 14.40-51.05). The AUC value was 0.909 (95% CI: 0.889-0.929), indicating outstanding diagnostic accuracy. Subgroup and meta-regression analyses showed that continent, type of AS, data source, and type of AI-based method constituted sources of heterogeneity. Furthermore, we demonstrated proof of publication bias for DOR values analyzed using Egger's regression test (P = 0.002) and a funnel plot.Conclusion: Deep learning approaches represent highly sensitive, feasible, and scalable strategies to identify patients with moderate or severe AS.

The inotropic drug levosimendan is often used as an individualized therapeutic approach perioperatively in cardiac surgery patients with cardiopulmonary bypass (CPB). Data regarding serum concentrations of levosimendan and its metabolites within this context is lacking.

In this retrospective descriptive proof-of-concept study, total serum concentrations (TSC) and unbound fractions (UF) of levosimendan and its metabolites OR-1896 and OR-1855 in cardiac surgery patients with CPB were measured using LC-ESI-MS/MS. Simulation of expected levosimendan TSC was performed using Pharkin 4.0. Serum NT-proBNP was assessed with ELISA.

After levosimendan infusion (1.25 mg or 2.5 mg, respectively) after anaesthesia induction, a median TSC of 1.9 ng/ml and 10.4 ng/ml was determined in samples taken directly after surgery (T1). Median TSC of 7.6 ng/ml and 22.0 ng/ml, respectively, were simulated at T1. Whereas 1.1 ng/ml and 1.6 ng/ml TSC of OR-1896, respectively, was quantified the day after surgery (T2), TSC of the intermediate metabolite OR-1855 was mostly below the lower limit of quantification (LLOQ). The UF was 0.5% and 1.1% for levosimendan and 64.1% and 52.1% for OR-1896, respectively, with over half the samples being below LLOQ. NT-proBNP concentrations before surgery and T2 did not differ.

The low TSC, UF and unchanged NT-proBNP levels in combination with high variation of serum levels between patients suggest a need for optimized dosing regimen of levosimendan combined with therapeutic drug monitoring for such an individualized approach. In addition, the differences between the measured and estimated concentrations may suggest a possible influence of CPB on levosimendan serum concentrations.

Cardiovascular complications represent a significant health concern for individuals with diabetes mellitus. The relationship between diabetes and cardiovascular diseases is complex and multifaceted, involving a variety of pathophysiological mechanisms. This study aimed to investigate the potential role of the cardiothoracic ratio as a prognostic tool for cardiovascular disorders in patients with diabetes. A retrospective case-control study of 530 adult patients referred to a tertiary care hospital in Saudi Arabia was conducted. Medical records, including chest X-rays, were analyzed to determine the cardiothoracic ratio. Patients diagnosed with diabetes who experienced cardiac disorders had significantly higher cardiothoracic ratios compared to patients with diabetes alone and controls. HbA1c was significantly elevated among patients with diabetes and cardiovascular disorders (mean = 71.5 ± 25.43 mmol/mol) compared to the other patients. There was a significant positive correlation between the duration of diabetes and the cardiothoracic ratio (r = 0.64, P < 0.001). Furthermore, the cardiothoracic ratio above 0.51 was a good discriminator of cardiovascular disorders in patients with diabetes, with an area under the curve of 0.737, sensitivity of 97.1%, and specificity of 87.2%. This study provided comprehensive evidence supporting the association between cardiothoracic ratio and subsequent cardiovascular adverse outcomes in patients with diabetes. We recommend adopting the cardiothoracic ratio as a valuable prognostic tool for risk stratification among people with diabetes.

Chronic kidney disease (CKD) is linked to greater prevalence and rapid progression of calcific aortic valve disease (CAVD) characterized by valvular leaflet fibrosis and calcification. Fibroblast growth factor 23 (FGF23) level is elevated, and anti-aging protein Klotho is reduced in CKD patients. However, the roles of FGF23 and Klotho in the mechanism of aortic valve fibrosis and calcification remain unclear. We hypothesized that FGF23 mediates CKD-induced CAVD by enhancing aortic valve interstitial cell (AVIC) fibrosis and calcification, while soluble Klotho inhibits FGF23 effect. Methods and Results: In an old mouse model of CKD, kidney damages were accompanied by aortic valve thickening and calcification. FGF23 levels in plasma and aortic valve were increased, while Klotho levels were decreased. Recombinant FGF23 elevated the inflammatory, fibrogenic, and osteogenic activities in AVICs. Neutralizing antibody or shRNA targeting FGF23 suppressed the pathobiological activities in AVICs from valves affected by CAVD. FGF23 exerts its effects on AVICs via FGF receptor (FGFR)/Yes-associated protein (YAP) signaling, and inhibition of FGFR/YAP reduced FGF23's potency in AVICs. Recombinant Klotho downregulated the pathobiological activities in AVICs exposed to FGF23. Incubation of FGF23 with Klotho formed complexes and decreased FGF23's potency. Further, treatment of CKD mice with recombinant Klotho attenuated aortic valve lesions. Conclusion: This study demonstrates that CKD induces FGF23 accumulation, Klotho insufficiency and aortic valve lesions in old mice. FGF23 upregulates the inflammatory, fibrogenic and osteogenic activities in AVICs via the FGFR/YAP signaling pathway. Soluble Klotho suppresses FGF23 effect through molecular interaction and is capable of mitigating CKD-induced CAVD.

Impairment of left ventricular (LV) diastolic function is common amongst those with left heart disease and is associated with significant morbidity. Given that, in simple terms, the ventricle can only eject the volume with which it fills and that approximately one half of hospitalisations for heart failure (HF) are in those with normal/'preserved' left ventricular ejection fraction (HFpEF) (Bianco et al. in JACC Cardiovasc Imaging. 13:258-271, 2020. 10.1016/j.jcmg.2018.12.035), where abnormalities of ventricular filling are the cause of symptoms, it is clear that the assessment of left ventricular diastolic function (LVDF) is crucial for understanding global cardiac function and for identifying the wider effects of disease processes. Invasive methods of measuring LV relaxation and filling pressures are considered the gold-standard for investigating diastolic function. However, the high temporal resolution of trans-thoracic echocardiography (TTE) with widely validated and reproducible measures available at the patient's bedside and without the need for invasive procedures involving ionising radiation have established echocardiography as the primary imaging modality. The comprehensive assessment of LVDF is therefore a fundamental element of the standard TTE (Robinson et al. in Echo Res Pract7:G59-G93, 2020. 10.1530/ERP-20-0026). However, the echocardiographic assessment of diastolic function is complex. In the broadest and most basic terms, ventricular diastole comprises an early filling phase when blood is drawn, by suction, into the ventricle as it rapidly recoils and lengthens following the preceding systolic contraction and shortening. This is followed in late diastole by distension of the compliant LV when atrial contraction actively contributes to ventricular filling. When LVDF is normal, ventricular filling is achieved at low pressure both at rest and during exertion. However, this basic description merely summarises the complex physiology that enables the diastolic process and defines it according to the mechanical method by which the ventricles fill, overlooking the myocardial function, properties of chamber compliance and pressure differentials that determine the capacity for LV filling. Unlike ventricular systolic function where single parameters are utilised to define myocardial performance (LV ejection fraction (LVEF) and Global Longitudinal Strain (GLS)), the assessment of diastolic function relies on the interpretation of multiple myocardial and blood-flow velocity parameters, along with left atrial (LA) size and function, in order to diagnose the presence and degree of impairment. The echocardiographic assessment of diastolic function is therefore multifaceted and complex, requiring an algorithmic approach that incorporates parameters of myocardial relaxation/recoil, chamber compliance and function under variable loading conditions and the intra-cavity pressures under which these processes occur. This guideline outlines a structured approach to the assessment of diastolic function and includes recommendations for the assessment of LV relaxation and filling pressures. Non-routine echocardiographic measures are described alongside guidance for application in specific circumstances. Provocative methods for revealing increased filling pressure on exertion are described and novel and emerging modalities considered. For rapid access to the core recommendations of the diastolic guideline, a quick-reference guide (additional file 1) accompanies the main guideline document. This describes in very brief detail the diastolic investigation in each patient group and includes all algorithms and core reference tables.

Cardiovascular disease (CVD) and lung cancer are among the leading causes of mortality worldwide, with a significant interplay that complicates patient management and treatment outcomes. This review explores the complex relationship between various forms of CVD - such as coronary artery disease, heart failure (HF), arrhythmias, and valvular heart disease - and lung cancer. Shared risk factors, including smoking, aging, and chronic inflammation, contribute to the co-occurrence of these conditions. Additionally, treatments for lung cancer, particularly chemotherapy and radiation therapy, can exacerbate CVD, necessitating a multidisciplinary approach to patient care. We delve into specific CVD-related impacts on lung cancer prognosis and vice versa, examining mechanisms, clinical outcomes, and management strategies. Our findings highlight the need for integrated care involving oncologists, cardiologists, and other healthcare providers to optimize treatment plans and improve patient outcomes. Emphasizing comprehensive cardiovascular risk management in lung cancer patients, we advocate for further research to deepen our understanding and develop novel therapeutic approaches, ultimately enhancing the quality of life and survival rates in patients suffering from both CVD and lung cancer.

Early diastolic mitral annular tissue (e') velocity is a commonly used marker of left ventricular (LV) diastolic function. This study aimed to investigate the prognostic implications of e' velocity in patients with mitral regurgitation (MR).

This retrospective cohort study included 1,536 consecutive patients aged <65 years with moderate or severe chronic primary MR diagnosed between 2009 and 2018. The primary and secondary outcomes were all-cause and cardiovascular mortality, respectively. According to the current guidelines, the cut-off value of e' velocity was defined as 7 cm/s.

A total of 404 individuals were enrolled (median age, 51.0 years; 64.1% male; 47.8% severe MR). During a median 6.0-year follow-up, there were 40 all-cause mortality and 16 cardiovascular deaths. Multivariate analysis revealed a significant association between e' velocity and all-cause death (adjusted hazard ratio [aHR], 0.770; 95% confidence interval [CI], 0.634-0.935; p=0.008) and cardiovascular death (aHR, 0.690; 95% CI, 0.477-0.998; p=0.049). Abnormal e' velocity (≤7 cm/s) independently predicted all-cause death (aHR, 2.467; 95% CI, 1.170-5.200; p=0.018) and cardiovascular death (aHR, 5.021; 95% CI, 1.189-21.211; p=0.028), regardless of symptoms, LV dimension and ejection fraction. Subgroup analysis according to sex, MR severity, mitral valve replacement/repair, and symptoms, showed no significant interactions. Including e' velocity in the 10-year risk score improved reclassification for mortality (net reclassification improvement [NRI], 0.154; 95% CI, 0.308-0.910; p<0.001) and cardiovascular death (NRI, 1.018; 95% CI, 0.680-1.356; p<0.001).

In patients aged <65 years with primary MR, e' velocity served as an independent predictor of all-cause and cardiovascular deaths.

This study investigated the use of dual-energy spectral detector computed tomography (CT) and virtual monoenergetic imaging (VMI) reconstructions in pre-interventional transcatheter aortic valve replacement (TAVR) planning. We aimed to determine the minimum required contrast medium (CM) amount to maintain diagnostic CT imaging quality for TAVR planning.

In this prospective clinical trial, TAVR candidates received a standardized dual-layer spectral detector CT protocol. The CM amount (Iohexol 350 mg iodine/mL, standardized flow rate 3 mL/s) was reduced systematically after 15 patients by 10 mL, starting at 60 mL (institutional standard). We evaluated standard, and 40- and 60-keV VMI reconstructions. For image quality, we measured signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and diameters in multiple vessel sections (i.e., aortic annulus: diameter, perimeter, area; aorta/arteries: minimal diameter). Mixed regression models (MRM), including interaction terms and clinical characteristics, were used for comparison.

Sixty consecutive patients (mean age, 79.4 ± 7.5 years; 28 females, 46.7%) were included. In pre-TAVR CT, the CM reduction to 40 mL is possible without affecting the image quality (MRM: SNR: -1.1, p = 0.726; CNR: 0.0, p = 0.999). VMI 40-keV reconstructions showed better results than standard reconstructions with significantly higher SNR (+ 6.04, p < 0.001). Reduction to 30 mL CM resulted in a significant loss of quality (MRM: SNR: -12.9, p < 0.001; CNR: -13.9, p < 0.001), regardless of the reconstruction. Across the reconstructions, we observed no differences in the metric evaluation (p > 0.914).

Among TAVR candidates undergoing pre-interventional CT at a dual-layer spectral detector system, applying 40 mL CM is sufficient to maintain diagnostic image quality. VMI 40-keV reconstructions improve the vessel attenuation and are recommended for evaluation.

Contrast medium reduction to 40 mL in pre-interventional transcatheter aortic valve replacement CT using dual-energy CT maintains image quality, while 40-keV virtual monoenergetic imaging reconstructions enhance vessel attenuation. These results offer valuable recommendations for interventional transcatheter aortic valve replacement evaluation and potentially improve nephroprotection in patients with compromised renal function.

• Patients undergoing transcatheter aortic valve replacement (TAVR), requiring pre-interventional CT, are often multimorbid with impaired renal function. • Using a spectral detector dual-layer CT, contrast medium reduction to 40 mL is feasible, maintaining diagnostic image quality. • The additional application of virtual monoenergetic image reconstructions with 40 keV improves vessel attenuation significantly in clinical practice.

Valvular heart disease (VHD) is becoming increasingly important to manage the risk of future complications. Electrocardiographic (ECG) changes may be related to multiple VHDs, and (AI)-enabled ECG has been able to detect some VHDs. We aimed to develop five deep learning models (DLMs) to identify aortic stenosis, aortic regurgitation, pulmonary regurgitation, tricuspid regurgitation, and mitral regurgitation.

Between 2010 and 2021, 77,047 patients with echocardiography and 12-lead ECG performed within 7 days were identified from an academic medical center to provide DLM development (122,728 ECGs), and internal validation (7,637 ECGs). Additional 11,800 patients from a community hospital were identified to external validation. The ECGs were classified as with or without moderate-to-severe VHDs according to transthoracic echocardiography (TTE) records, and we also collected the other echocardiographic data and follow-up TTE records to identify new-onset valvular heart diseases.

AI-ECG adjusted for age and sex achieved areas under the curves (AUCs) of >0.84, >0.80, >0.77, >0.83, and >0.81 for detecting aortic stenosis, aortic regurgitation, pulmonary regurgitation, tricuspid regurgitation, and mitral regurgitation, respectively. Since predictions of each DLM shared similar components of ECG rhythms, the positive findings of each DLM were highly correlated with other valvular heart diseases. Of note, a total of 37.5-51.7% of false-positive predictions had at least one significant echocardiographic finding, which may lead to a significantly higher risk of future moderate-to-severe VHDs in patients with initially minimal-to-mild VHDs.

AI-ECG may be used as a large-scale screening tool for detecting VHDs and a basis to undergo an echocardiography.

Valvular heart disease (VHD) is a significant clinical problem associated with high morbidity and mortality. Although not being the primary imaging modality in VHD, cardiac computed tomography (CCT) provides relevant information about its morphology, function, severity grading, and adverse cardiac remodeling assessment. Aortic valve calcification quantification is necessary for grading severity in cases of low-flow/low-gradient aortic stenosis. Moreover, CCT details significant information necessary for adequate percutaneous treatment planning. CCT may help to detail the etiology of VHD as well as to depict other less frequent causes of valvular disease, such as infective endocarditis, valvular neoplasms, or other cardiac pseudomasses.

Percutaneous heart valve procedures have been increasingly performed over the past decade, yet real-world mortality data on valvular heart disease (VHD) in the United States remain limited.

We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database among patients ≥15 years old from 1999 to 2020. VHD and its subtypes were listed as the underlying cause of death. We calculated age-adjusted mortality rate (AAMR) per 100 000 individuals and determined overall trends by estimating the average annual percent change using the Joinpoint regression program. Subgroup analyses were performed based on demographic and geographic factors. In the 22-year study, there were 446 096 VHD deaths, accounting for 0.80% of all-cause mortality (56 014 102 people) and 2.38% of the total cardiovascular mortality (18 759 451 people). Aortic stenosis recorded the highest mortality of VHD-related death in both male (109 529, 61.74%) and female (166 930, 62.13%) populations. The AAMR of VHD has declined from 8.4 (95% CI, 8.2-8.5) to 6.6 (95% CI, 6.5-6.7) per 100 000 population. Similar decreasing AAMR trends were also seen for the VHD subtypes. Men recorded higher AAMR for aortic stenosis and aortic regurgitation, whereas women had higher AAMR for mitral stenosis and mitral regurgitation. Mitral regurgitation had the highest change in average annual percent change in AAMR.

The mortality rate of VHD among the US population has declined over the past 2 decades. This highlights the likely efficacy of increasing surveillance and advancement in the management of VHD, resulting in improved outcomes.

Increased afterload in aortic stenosis (AS) induces left ventricle (LV) remodeling to preserve a normal ejection fraction. This compensatory response can become maladaptive and manifest with motion abnormality. It is a clinical challenge to identify contractile and relaxation dysfunction during early subclinical stage to prevent irreversible deterioration.

To evaluate the changes of regional wall dynamics in 3D + time domain as remodeling progresses in AS.

Retrospective.

A total of 31 AS patients with reduced and preserved ejection fraction (14 AS_rEF: 7 male, 66.5 [7.8] years old; 17 AS_pEF: 12 male, 67.0 [6.0] years old) and 15 healthy (6 male, 61.0 [7.0] years old).

1.5 T Magnetic resonance imaging/steady state free precession and late-gadolinium enhancement sequences.

Individual LV models were reconstructed in 3D + time domain and motion metrics including wall thickening (TI), dyssynchrony index (DI), contraction rate (CR), and relaxation rate (RR) were automatically extracted and associated with the presence of scarring and remodeling.

Shapiro-Wilk: data normality; Kruskal-Wallis: significant difference (P < 0.05); ICC and CV: variability; Mann-Whitney: effect size.

AS_rEF group shows distinct deterioration of cardiac motions compared to AS_pEF and healthy groups (TIAS_rEF : 0.92 [0.85] mm, TIAS_pEF : 5.13 [1.99] mm, TIhealthy : 3.61 [1.09] mm, ES: 0.48-0.83; DIAS_rEF : 17.11 [7.89]%, DIAS_pEF : 6.39 [4.04]%, DIhealthy : 5.71 [1.87]%, ES: 0.32-0.85; CRAS_rEF : 8.69 [6.11] mm/second, CRAS_pEF : 16.48 [6.70] mm/second, CRhealthy : 10.82 [4.57] mm/second, ES: 0.29-0.60; RRAS_rEF : 8.45 [4.84] mm/second; RRAS_pEF : 13.49 [8.56] mm/second, RRhealthy : 9.31 [2.48] mm/second, ES: 0.14-0.43). The difference in the motion metrics between healthy and AS_pEF groups were insignificant (P-value = 0.16-0.72). AS_rEF group was dominated by eccentric hypertrophy (47.1%) with concomitant scarring. Conversely, AS_pEF group was dominated by concentric remodeling and hypertrophy (71.4%), which could demonstrate hyperkinesia with slight wall dyssynchrony than healthy. Dysfunction of LV mechanics corresponded to the presence of myocardial scarring (54.9% in AS), which reverted the compensatory mechanisms initiated and performed by LV remodeling.

The proposed 3D + time modeling technique may distinguish regional motion abnormalities between AS_pEF, AS_rEF, and healthy cohorts, aiding clinical diagnosis and monitoring of AS progression. Subclinical myocardial dysfunction is evident in early AS despite of normal EF.

4 TECHNICAL EFFICACY: Stage 1.

Limited data exists on the prognostic impact of valvular heart disease in cardiac amyloidosis (CA). We therefore sought to define the prevalence of valvular disease in patients with CA and assess the effects of significant valve disease on survival.

This multi-center retrospective cohort study included consecutive patients with confirmed transthyretin (TTR) or light chain (AL) amyloidosis. Echocardiographic data closest to the date of amyloid diagnosis was reviewed, and severity was graded according to ASE guidelines. Kaplan-Meier survival analysis was performed to compare survival between patients with moderate or greater valve disease against those with mild or less disease.

We included 345 patients (median age 76 years; 73 % men; 110 AL, 235TTR). The median survival for the total patient cohort with cardiac amyloidosis was 2.92 years, with 30 % of patients surviving at five years after their diagnosis. Median survival comparing AL vs ATTR was 2.58 years vs 2.82 years (p = 0.67) The most common valvular abnormalities in the total cohort were mitral (62 %) and tricuspid (66 %).regurgitation There was a statistically significant difference in median survival between patients with no or mild MR compared to those with moderate or severe MR (2.92 years vs 3.35 years, p = 0.0047) (Fig. 5). There was a statistically significant difference in median survival in patients with no or mild TR compared to those with moderate or severe TR (3.35 years vs 2.3 years, p = 0.015).

Our study demonstrates a significant prevalence of mitral and tricuspid regurgitation in CA, with patients with moderate to severe MR and TR having a poorer prognosis.

The clinical presentation of inflammatory bowel disease (IBD) includes both gastrointestinal manifestations and extraintestinal manifestations (EIM). Over the past years, a growing number of studies have indicated that patients suffering from IBD have an increased risk of developing cardiovascular disease. Although the precise prevalence of cardiac complications in IBD remains uncertain, emerging evidence suggests a heightened incidence compared to the general population. Valvular heart disease (VHD) in IBD encompasses calcific aortic valve disease, mitral valve prolapses, and endocarditis, potentially associated with chronic inflammation. Considering the role of inflammation in developing cardiovascular manifestations, the management should include preventing flares and maintaining remission for as long as possible. This case highlights the intricate interplay between IBD and cardiovascular complications, particularly valvular abnormalities. We present a 37-year-old male with a history of ulcerative colitis (UC) who was found to have multiple valvular diseases.

International guidelines recommend 'heart teams' as the preferred method for decision-making. Heart team processes, mandatory attendees and investigations vary significantly between hospitals. We assessed outcomes following mitral valvular surgery in a tertiary referral centre with a dedicated mitral multi-disciplinary team (MDT). This was a single-centre retrospective review of prospectively collected data within the 'mitral database' of mitral valvular disease patients. The 'mitral MDT' meeting involved pre-operative imaging and clinical data review, including mandatory transoesophageal echocardiography; recommendation for planned procedure, as well as an appropriate surgeon; and review of echocardiography images and clinical outcomes after surgery had been performed. Between 2016 and 2020, 395 patients with mitral valvular disease were discussed at MDT. Of these, 310 patients underwent surgery. During the same time interval, 75 patients had surgery without MDT discussion: 84% of patients not discussed were urgent or emergent procedures and, in these, the most common pathology was degenerative mitral regurgitation (DMR, 46%) followed by infective endocarditis (30%). Of those discussed at MDT the pathology was: DMR 65%; mitral stenosis 14%; functional mitral regurgitation (MR) 5%; rheumatic MR 4%; endocarditis 4%; ischaemic MR 4%; and other pathologies 4%. For patients with DMR having elective surgery, the repair rate was 93% with mortality 2% and median (IQR) length of stay 5 (4-6) days. Postoperative transthoracic echocardiography demonstrated 99% of elective DMR patients had ≤2+ MR and <1% severe (3+) MR. In conclusion, a dedicated 'mitral MDT' can enhance the safe delivery of care with consistently high repair rates for DMR patients with excellent outcomes.

Postoperative delirium (POD) after transcatheter aortic valve implantation (TAVI) is frequent in older adults and associated with multiple negative outcomes including a higher mortality. We aimed to investigate whether a comprehensive geriatric assessment (CGA) prior to TAVI reduces the odds of POD and results in a positive change in self-care ability, intended to lay a foundation for future geriatric comanagement.

We used a retrospective, single-center study with a quasi-experimental design enrolling patients aged 70 years and older undergoing CGA before elective TAVI, and a nonrandomized comparison group without preoperative CGA. Data on POD occurrence during the first 5 days after TAVI (primary outcome) and change in self-care ability index (SPI) between admission and discharge (secondary outcome) were collected from electronic health records and CGA data (exposure) by clinical assessment. To explore associations between (1) CGA and POD, and (2) CGA and SPI, multivariate logistic regression and linear regression models were applied adjusting for age, sex, BMI, and number of medications.

Among 435 patients (mean age 81.0 ± 5.6 years, 43.6% women, median [IQR] SPI at baseline 40 [39, 40] points), POD incidence was 14.3% in the CGA group vs 18.8% in the non-CGA group (P 0.219). Undergoing CGA before TAVI was not associated with the odds for POD (OR: 1.15; 95%CI: 0.65-2.04) or improved SPI (P 0.073).

We observed no association of CGA prior to TAVI with POD incidence or postoperative self-care, highlighting the need for additional studies investigating the effect of POD preventive measures in older TAVI patients integrated into a comprehensive geriatric comanagement program.

Introduction: Cannabis is increasingly being consumed by pregnant women for recreational purposes as well as for its antiemetic and anxiolytic effects despite limited studies on its safety during pregnancy. Importantly, phytocannabinoids found in cannabis can pass through the placenta and enter the fetal circulation. Recent reports suggest gestational cannabis use is associated with negative fetal outcomes, including fetal growth restriction and perinatal intensive care, however, the effects of delta-9-tetrahydrocannabinol (THC) on fetal heart development remains to be elucidated. Materials and Methods: We aimed to determine the outcomes of maternal THC exposure on fetal heart development in mice by administering 0, 5, or 10 mg/kg/day of THC orally to C57BL/6 dams starting at embryonic day (E)3.5. Offspring were collected at E12.5 for molecular analysis, at E17.5 to analyze cardiac morphology or at postnatal day (PND)21 to assess heart function. Results: Maternal THC exposure in E17.5 fetuses resulted in an array of cardiac abnormalities with an incidence of 44% and 55% in the 5 and 10 mg/kg treatment groups, respectively. Maternal THC exposure in offspring resulted in ventricular septal defect, higher semilunar valve volume relative to orifice ratio, and higher myocardial wall thickness. Notably, cell proliferation within the ventricular myocardium was increased, and expression of multiple cardiac transcription factors was downregulated in THC-exposed E12.5 fetuses. Furthermore, heart function was compromised with lower left ventricular ejection fraction, fractional shortening, and cardiac output in PND21 pups exposed to THC compared to controls. Discussion: The results show that maternal THC exposure during gestation induces myocardial hyperplasia and semilunar valve thickening in the fetal heart and postnatal cardiac dysfunction. Our study suggests that maternal cannabis consumption may induce abnormalities in the developing heart and cardiac dysfunction in postnatal life.

Balloon aortic valvuloplasty (BAV) is a palliative tool for patients with symptomatic severe aortic stenosis (AS) at prohibitive risk for surgery or as a bridge to surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). BAV is traditionally performed in hospitals with onsite cardiac surgery due to its potential complications.

The aim of this study was to evaluate the safety of BAV procedures performed by trained high-volume operators in a centre without onsite surgery and to assess the effect of a minimalistic approach to reduce periprocedural complications.

From 2016 to 2021, 187 BAV procedures were performed in 174 patients. Patients were elderly (mean age: 85.0±5.4 years) and had high-risk (mean European System for Cardiac Operative Risk Evaluation score [EuroSCORE] II: 10.1±9.9) features. According to the indications, 4 cohorts were identified: 1) bridge to TAVR (n=98; 56%); 2) bridge to SAVR (n=8; 5%); 3) cardiogenic shock (n=11; 6%); and 4) palliation (n=57; 33%). BAV procedures were performed using the standard retrograde technique via femoral access in 165 patients (95%), although radial access was used in 9 patients (5%). Ultrasound-guided vascular puncture was performed in 118 patients (72%) and left ventricular pacing was administered through a stiff guidewire in 105 cases (60%).

BAV safety was confirmed by 1 periprocedural death (0.6%), 1 intraprocedural stroke (0.6%), 2 major vascular complications (1%) and 9 minor vascular complications (5%). Nine cases of in-hospital mortality occurred (5%), predominantly in patients with cardiogenic shock.

BAV is a safe procedure that can be performed in centres without onsite cardiac surgery using a minimalistic approach that can reduce periprocedural complications.

Cell-derived microparticles (MPs) are membrane vesicles that have emerged as a potential biomarker for various diseases and their clinical complications. This study investigates the role of MPs as a risk factor for blood transfusion in patients with valve heart disease undergoing cardiac surgery.

Forty adult patients undergoing heart valve surgery with cardiopulmonary bypass (CPB) were enrolled, and venous blood samples were collected prior to surgical incision. Plasma rich in MPs was prepared by double centrifugation, and the concentration of MPs was determined using the Bradford method. Flow cytometry analysis was performed to determine MPs count and phenotype. Patients were divided into "with transfusion" (n = 18) and "without transfusion" (n = 22) groups based on red blood cell (RBC) transfusion.

There was no significant difference in MPs concentration between the "with transfusion" and "without transfusion" groups. Although the count of preoperative platelet-derived MPs (PMPs), monocyte-derived MPs (MMPs), and red cell-derived MPs (RMPs) was higher in "without transfusion" group, these differences were not statistically significant. The preoperative PMPs count was negatively correlated with RBC transfusion (P = 0.005, r = -0.65). Multivariate logistic regression analysis revealed that the count of CD41+ PMPs, Hemoglobin (Hb), and RBC count were risk factors for RBC transfusion.

This study suggests that the presurgical levels of PMPs, Hb, and RBC count can serve as risk factors of RBC transfusion in patients with valve heart disease undergoing cardiac surgery. The findings provide insights into the potential use of MPs as biomarkers for blood transfusion prediction in cardiac surgery.

Papillary muscle rupture is commonly linked to ischemic events, occurring typically postmyocardial infarction. However, iatrogenic and nonischemic etiologies can play a role in papillary muscle rupture, including infective endocarditis. The case presented herein is an 85-year-old female with a history of heart failure with preserved ejection fraction (HFpEF), who presented with progressive dyspnea despite furosemide therapy, and was discovered to have a flail posterior mitral valve leaflet secondary to papillary muscle rupture associated with Streptococcus lutetiensis endocarditis. Transthoracic echocardiography revealed flail posterior mitral valve leaflet with newly appreciated severe wide-open mitral regurgitation. Emergent mitral valve repair was performed with a successful MitraClip placement. Patient had an atypical presentation without ischemic symptomology or electrocardiogram (EKG) changes indicative of ischemia. Despite transesophageal echocardiography, not revealing vegetations, infective endocarditis was presumed due to presence of Streptococcus lutetiensis bacteremia, osteomyelitis, elevated inflammatory markers, and clinical presentation. Papillary muscle rupture results in severe mitral regurgitation that is a medical emergency that requires prompt diagnosis and management from a multidisciplinary team. Therefore, it is imperative to ensure clinical insight into the multiple etiologies of papillary muscle rupture to provide timely treatment.

Early diagnosis of significant valvular heart disease (VHD) enables appropriate implementation of the best therapeutic strategy and follow-up. Cardiac auscultation remains suboptimal in early detection of VHD. The aim of this study was to evaluate the utility of point-of-care ultrasound (POCUS) for early detection of VHD and its severity.

All consecutive patients with VHD who did not have a standard echocardiogram prior to first outpatient cardiology consultation underwent history and physical examination followed by POCUS study by an experienced physician in a general cardiology clinic from June 2017 to August 2022 at our institution. Subsequent standard transthoracic echocardiography (sTTE) was performed as the gold standard. Comparison was performed between POCUS and sTTE for the presence and severity of VHD. sTTE was performed by registered cardiac sonographers and interpreted by another cardiologist blinded to the POCUS results.

A total of 77 patients were studied (ge 72 ± 11 years, 58.4% males). A total of 89 significant valvular abnormalities were diagnosed. There were 39 (43.8%) cases of regurgitant VHD, 16 (18.0%) of stenotic VHD and 34 (38.2%) had evaluation for prosthetic valve function. The sensitivity (90.9%; 82.4%; 83.3%; 100%) and specificity (100%; 96.7%; 100%; 100%) were high for detecting ≥ moderate aortic regurgitation (AR), mitral regurgitation (MR), aortic stenosis (AS) and prosthetic valvular abnormality, respectively. The weighted κ coefficient between POCUS and sTTE for the assessment of ≥ moderate MR, AR and AS was 0.81 (95% CI, 0.65-0.97), 0.94 (95% CI, 0.84-1.00) and 0.88 (95% CI, 0.76-1.0), respectively, indicating excellent agreement.

POCUS can identify patients with significant VHD and may serve as a powerful screening tool for early detection of significant VHD in the outpatient clinical practice with downstream impact on clinical management of significant VHD.

Right coronary artery (RCA) injury is a rare complication of valvular surgery. However, complications should be considered, due to the significant clinical consequences. Identifying the coronary injury type and understanding the underlying pathophysiological mechanisms is essential to managing these complications.

The case of a 59-year-old man who underwent conservative mitral valve surgery with tricuspid valve annuloplasty is presented. The early post-operative period was complicated by acute coronary syndrome with inferior persistent ST-segment elevation. A coronary angiogram confirmed critical RCA hazy lesions, raising the suspicion of coronary kinking. To confirm the underlying mechanism for these lesions and determine the best treatment strategy, endocoronary imaging was performed, revealing coronary kinking of the RCA. Based on the persistent acute ischaemia, a long-lasting drug-eluting stent (DES) was implanted in the lower and upper knees of the RCA. After angioplasty, electrocardiography showed regression of the ST-segment elevation. Ten days later, coronary angiography and optical coherence tomography showed good results. The patient recovered from his myocardial infarction.

Only a few reports describe the use of endocoronary imaging for diagnosing coronary artery injury after tricuspid annuloplasty. The variety of lesion types that could underlie a single post-operative myocardial infarction makes endocoronary imaging a relevant technique to guide management strategy and optimize DES implantation.

Development of a contact microphone-driven screening framework for the diagnosis of coexisting valvular heart diseases (VHDs).

A sensitive accelerometer contact microphone (ACM) is employed to capture heart-induced acoustic components on the chest wall. Inspired by the human auditory system, ACM recordings are initially transformed into Mel-frequency cepstral coefficients (MFCCs) and their first and second derivatives, resulting in 3-channel images. An image-to-sequence translation network based on the convolution-meets-transformer (CMT) architecture is then applied to each image to find local and global dependencies in images, and predict a 5-digit binary sequence, where each digit corresponds to the presence of a specific type of VHD. The performance of the proposed framework is evaluated on 58 VHD patients and 52 healthy individuals using a 10-fold leave-subject-out cross-validation (10-LSOCV) approach.

Statistical analyses suggest an average sensitivity, specificity, accuracy, positive predictive value, and F1 score of 93.28%, 98.07%, 96.87%, 92.97%, and 92.4% respectively, for the detection of coexisting VHDs. Furthermore, areas under the curve (AUC) of 0.99 and 0.98 are respectively reported for the validation and test sets.

The high performances achieved prove that local and global features of ACM recordings effectively characterize heart murmurs associated with valvular abnormalities.

Limited access of primary care physicians to echocardiography machines has resulted in a low sensitivity of 44% when using a stethoscope for the identification of heart murmurs. The proposed framework provides accurate decision-making on the presence of VHDs, thus reducing the number of undetected VHD patients in primary care settings.