1-year Stroke Research Articles

Safety and efficacy of transcatheter aortic valve implantation (TAVI) in patients with previous TAVI; a systematic review and meta-analysis

Abstract Background Transcatheter Aortic Valve Implantation (TAVI) has gained ground in the management of severe aortic stenosis, even in low-surgical risk patients. However, TAVI prostheses, like bioprostheses, have a finite lifetime; thus, TAVI in patients with previous TAVI (TAVI-in-TAVI) rates are radically increased. Although data regarding TAVI indicate low mortality and stroke rates within the first year, TAVI-in-TAVI is less studied. Purpose The aim of the study is to systematically review and summarize available data regarding the safety and the outcomes of TAVI-in-TAVI. Methods This study was conducted according to the PRISMA guidelines. We systematically searched PubMed, SCOPUS, and Cochrane databases from their inception to February 10, 2024, for studies assessing the characteristics and outcomes of patients undergoing TAVI-in-TAVI. Primary endpoint of our systematic review and meta-analysis is the in-hospital, 30-days and 1-year mortality rates. Secondary endpoints comprised in-hospital, 30-days and 1-year stroke rates, in-hospital vascular complications, conversion to surgery, coronary compression or obstruction, and perforation with or without tamponade, and in-hospital and 30-days permanent pacemaker implantation (PPM) implantation. Endpoint definitions followed the Valve Academic Research Consortium 3 criteria. The cumulative incidence of primary and secondary endpoints and the corresponding 95% confidence intervals (CI) were estimated. A random effects model (DerSimonian-Laird) was used to account for heterogeneity among the included studies. Results Our meta-analysis included a total of 5 studies and 2,145 patients undergoing TAVI-in-TAVI, 72.9% (N=1,564) of whom were treated with a balloon-expandable valve. Our analysis showed that patients undergoing TAVI-in-TAVI had 3.7% (95% CI: 1.6%-5.9%), 3.9% (95% CI: 3%-4.7%) and 12.5% (95% CI: 11%-14%) in-hospital, 30-days and 1-year all-cause mortality, while stroke occurred in 1.8% (95% CI: 1.2%-2.4%), 2.1% (95% CI: 1.4%-2.9%) and 3% (95% CI: 2.3%-3.8%) of the patients in-hospital, 30-days and 1-year, respectively. Notalby, conversion to surgery, coronary compression/obstruction and perforation with or without tamponade occurred in <1% of the patients, while 6.1% (95% CI: 2.2%-9.9%) of the patients had vascular complications during the procedure. Considering the PPM implantation rates, patients had a 1.8% (95% CI: 1.2%-2.4%) for in-hospital and a 6.8% (95% CI: 5.2%-8.3%) for 30-days incidence. Conclusion Our systematic review and meta-analysis is the first to present that TAVI-in-TAVI has an acceptable safety profile with relatively low in-hospital, 30-days and 1-year mortality and stroke rates, comparable to the native-valve-TAVI. Taking into consideration that TAVI-in-TAVI might be the only therapeutic approach for an increasing number of patients, further studies are warranted to further assess its safety and efficacy and to provide additional procedural techniques.TAVI-in-TAVI mortality rates

Ischemic stroke incidence in intermediate or high-risk patients undergoing transcatheter aortic valve replacement versus surgical aortic valve replacement: a comparative systematic review and meta-analysis

Background and purposeThis comparative systematic review and meta-analysis investigated the incidence of ischemic stroke in intermediate-to-high-risk patients undergoing transcatheter aortic valve replacement versus surgical aortic valve replacement.MethodsWe conducted a systematic review and meta-analysis following the PRISMA guidelines, searching PubMed, Google Scholar, Embase, Web of Science, and Cochrane CENTRAL databases from their inception to December 2023. The evaluated outcomes were primarily incidence of stroke and transient ischemic attack (TIA), along with other secondary safety end-points at 30 days and 1 year post-procedure. Odds ratios (ORs) with 95% confidence intervals (CIs) were utilized for each study, employing a random-effects model for data synthesis irrespective of heterogeneity. Statistical heterogeneity was assessed using I2 statistics. All statistical analyses were conducted using Review Manager.ResultsWe screened 8028 articles and included 8 studies consisting of 5 randomized controlled trials and 3 observational studies. The studies examining 30-day and 1-year stroke incidence found no significant difference between TAVR and SAVR patients (OR 0.83, 95% CI 0.59 to 1.17, p = 0.30, OR 0.92, 95% CI 0.64 to 1.33, p = 0.67, respectively). Both TAVR and SAVR also had a comparable risk of having a transient ischemic attack within 30 days (OR 0.93, 95% CI 0.24 to 3.63, p = 0.92, I2 52%) and 1 year (OR 1.15, 95% CI 0.72 to 1.82, p = 0.56, I2 0%) following the procedure. Regarding safety endpoints, TAVR had lower rates of all-cause mortality and acute kidney injury at 1 year post-procedure, but a higher incidence of major vascular complications at both 30 days and 1 year compared with SAVR.ConclusionThe results suggest that TAVR and SAVR have comparable outcomes for both TIA and stroke incidence at 30 days and 1 year post-procedure, but display varying safety profiles in intermediate-to-high surgical risk patients.

Transforming healthcare performance monitoring - A cutting-edge approach with generalized additive profiles: GAMs for healthcare quality monitoring.

Recent findings indicate a growing trend in data analysis within healthcare using statistical process control. However, the diversity of variables involved necessitates the expansion of new process control methodologies. This study examined control chart applications in cardiology by using generalized additive models (GAMs) to construct profiles while involving multiple healthcare variables (08). Two distinct statistics: deviation (D), and Hotelling (T2) were employed for constructing control charts: a commonly used single-variable statistic for nonparametric profiles and an innovative multivariate statistic that assesses the contribution of each element to process changes. These statistics were tested for monitoring ischemic and hemorrhagic strokes in 1-year acute stroke (369) patients at the Faisalabad Institute of Cardiology. Demographic parameters (age, gender), vascular risk factors (diabetes, family history, sleep), socioeconomic variables (smoking, location), and blood pressure are included in the model. The research includes the computation of zero-state average run length (ARL) for assessing the performance of control charts. The characteristics of the proposed profile were analyzed, such as the T2 control chart, performing better than the D chart for medium-to-large shifts (δ ≥ 0.50). On the other hand, for small δ = 0.25, the D control chart produces smaller ARL values but more significant standard deviations. While both statistics contribute to profile monitoring, T2 is more effective at identifying and tracing medium and large shifts. In conclusion, such handy tools may aid healthcare performance monitoring, especially for complicated predictor-response relationships. Monitored profiles demonstrated that GAMs are useful for healthcare analysis and process monitoring.

Atrial Imaging and Cardiac Rhythm in Cryptogenic Embolic Stroke: The ARIES Study.

Unknown cardioembolic sources are frequent causes of cryptogenic stroke. We analyzed the risk of atrial fibrillation (AF) or high burden of ectopic atrial activity (HBEA) in patients with cryptogenic stroke, assessing atrial function and 1-year outcomes. The ARIES (Atrial Imaging and Cardiac Rhythm in Cryptogenic Embolic Stroke) study is an observational study including patients with cryptogenic stroke. We analyzed the frequency of AF and HBEA (>3000 atrial ectopic beats/day or >2 bursts or atrial tachycardia between 3 beats and ≤30 seconds) in two 30-day Holter-ECGs, comparing advanced echocardiography signs of left atrial (LA) dysfunction according to rhythm: AF, HBEA, and normal sinus rhythm. We also evaluated 1-year stroke recurrence and mortality. The study included 109 patients; 35 (32.1%) patients had AF, 27 (24.8%) HBEA, and 47 (43.1%) normal sinus rhythm. Compared with those with normal sinus rhythm, patients with AF presented higher 2-dimensional and 3-dimensional LA indexed volumes (38.8±11.2 versus 27.3±11.8 mL/m2, and 50.6±17.2 versus 34.0±15.4 mL/m2, respectively, P<0.001), lower 3-dimensional LA ejection fraction (50±14.6 versus 62.7±11.8, P=0.001), LA reservoir strain (22.0±8.6 versus 30.4±10.5, P<0.001), and LA contraction strain (10.5±8.18 versus 17.1±7.5, P<0.001), remaining significant in multivariate analysis. Patients with HBEA showed higher LA indexed volumes and lower LA reservoir strain than patients with normal sinus rhythm only in univariate analysis. There were no differences in ischemic recurrence or mortality among the groups. Patients with cryptogenic stroke showed a high incidence of AF and HBEA. AF is strongly related to LA volume, LA function, and LA reservoir and contraction strain, whereas HBEA showed milder structural changes. Advanced LA echocardiography could help patient selection for long-term ECG monitoring in suspected cardiac sources.

Impact of metabolic bariatric surgery on outcomes and the 10-year risk of major adverse cardiovascular events during a 7-year period: a retrospective cohort study.

Metabolic bariatric surgery offers enduring weight reduction and alleviation of obesity-related comorbidities, including dyslipidemia, diabetes, hypertension, and major adverse cardiovascular events (MACE). Long-term data on one-anastomosis gastric bypass (OAGB) and single-anastomosis duodenal-jejunal bypass with sleeve gastrectomy (SADJB-SG) is lacking, necessitating this investigation. In this multicenter prospectively-collected retrospective observational study, 830 adult Taiwanese patients (682 OAGB, 148 SADJB-SG) who underwent surgery from 1 January 2011 to 31 December 2017, were initially identified. Following protocol, 224 patients (177 OAGB, 47 SADJB-SG) with complete follow-up data at various intervals up to 3 years after surgery were included in the final analysis. The study's primary focus is to evaluate the long-term safety, efficacy, and durability of OAGB and SADJB-SG in promoting weight loss and diabetes remission. Additionally, changes in 10-year and lifetime risks of MACE before and 3-year after surgery are assessed using Taiwan MACE risk prediction model and the China-PAR project model. SADJB-SG patients exhibit higher diabetes prevalence, lower BMI, and more severe diabetes compared to OAGB. Both groups demonstrate significant improvements in BMI, diabetes, hypertension, and dyslipidemia three years after surgery, with the most substantial improvements occurring in the second year. The Taiwan MACE risk model reveals a significant reduction in 10-year MACE and stroke risks for both groups. The China-PAR project model indicates a synchronized reduction in atherosclerotic cardiovascular disease 10-year and lifetime risk in both OAGB and SADJB-SG groups. OAGB and SADJB-SG exhibit sustained improvements in weight reduction and obesity-related comorbidities over 3 years after surgery. Notably, both procedures contribute to a substantial reduction in 10-year MACE, stroke, and atherosclerotic cardiovascular disease risks. These findings underscore the efficacy of OAGB and SADJB-SG in the context of metabolic bariatric surgery.

Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke or death following TFCAS. The VQI (Vascular Quality Initiative) database was used to identify patients who underwent TFCAS for carotid artery stenosis between 2005 and 2024. We identified 112 features from the index hospitalization (82 preoperative [demographic/clinical], 13 intraoperative [procedural], and 17 postoperative [in-hospital course/complications]). The primary outcome was 1-year postprocedural stroke or death. The data were divided into training (70%) and test (30%) sets. Six machine learning models were trained using preoperative features with 10-fold cross-validation. The primary model evaluation metric was area under the receiver operating characteristic curve. The algorithm with the best performance was further trained using intra- and postoperative features. Model robustness was assessed using calibration plots and Brier scores. Overall, 35 214 patients underwent TFCAS during the study period and 3257 (9.2%) developed 1-year stroke or death. The best preoperative prediction model was extreme gradient boosting, achieving an area under the receiver operating characteristic curve of 0.94 (95% CI, 0.93-0.95). In comparison, logistic regression had an AUROC of 0.65 (95% CI, 0.63-0.67). The extreme gradient boosting model maintained excellent performance at the intra- and postoperative stages, with area under the receiver operating characteristic curve values of 0.94 (95% CI, 0.93-0.95) and 0.98 (95% CI, 0.97-0.99), respectively. Calibration plots showed good agreement between predicted/observed event probabilities with Brier scores of 0.11 (preoperative), 0.11 (intraoperative), and 0.09 (postoperative). Machine learning can accurately predict 1-year stroke or death following TFCAS, performing better than logistic regression.

Role of anticoagulation therapy in modifying stroke risk associated with new-onset atrial fibrillation after non-cardiac surgery.

The role of antithrombotic therapy in the prevention of ischemic stroke after non-cardiac surgery is unclear. In this study, we tested the hypothesis that the association of new-onset postoperative atrial fibrillation (POAF) on ischemic stroke can be mitigated by postoperative oral anticoagulation therapy. Of 251,837 adult patients (155,111 female (61.6%) and 96,726 male (38.4%)) who underwent non-cardiac surgical procedures at two sites, POAF was detected in 4,538 (1.8%) patients. The occurrence of POAF was associated with increased 1-year ischemic stroke risk (3.6% versus 2.3%; adjusted risk ratio (RRadj) = 1.60 (95% confidence interval (CI): 1.37-1.87), P < 0.001). In patients with POAF, the risk of developing stroke attributable to POAF was 1.81 (95% CI: 1.44-2.28; P < 0.001) without oral anticoagulation, whereas, in patients treated with anticoagulation, no significant association was observed between POAF and stroke (RRadj = 1.04 (95% CI: 0.71-1.51), P = 0.847, P for interaction = 0.013). Furthermore, we derived and validated a computational model for the prediction of POAF after non-cardiac surgery based on demographics, comorbidities and procedural risk. These findings suggest that POAF is predictable and associated with an increased risk of postoperative ischemic stroke in patients who do not receive postoperative anticoagulation.

Association of serum uric acid to serum creatinine ratio with 1-year stroke outcomes in patients with acute ischemic stroke: A multicenter observational cohort study.

Considering the reliance of serum uric acid (SUA) levels on renal clearance function, its role in stroke outcomes remains controversial. This study investigated the association of renal function-normalized SUA (SUA to serum creatinine ratio, SUA/SCr), a novel renal function index, with the 1-year outcomes in patients with acute ischemic stroke (AIS). This is a prospective, multicenter observational study. Renal function-normalized SUA levels were determined by calculating the ratio of SUA to SCr. One-year outcomes included stroke recurrence, all-cause mortality, and poor prognosis. Multivariable Cox regression analyses and restriction cubic splines for curve fitting were used to evaluate SUA/SCr's association with 1-year stroke outcomes. Among 2294 enrolled patients, after adjustment for potential confounders, multivariable Cox regression analyses showed that each one-unit increase in SUA/SCr corresponded to a 19% decrease in 1-year stroke recurrence in patients with AIS. SUA/SCr was analyzed as a continuous variable and categorized into quartiles (Q1-Q4). Compared with the Q1 reference group, Q2, Q3, and Q4 showed significantly lower 1-year stroke recurrence risks. The trend test indicated significant differences in the 1-year stroke recurrence trend from Q1 to Q4. In these patients, SUA/SCr did not show a significant association with poor prognosis or all-cause mortality. Curve fitting revealed SUA/SCr had a negative but nonlinear association with 1-year stroke recurrence. In patients with AIS, low SUA/SCr may be an independent risk factor for 1-year stroke recurrence. Changes in SUA/SCr had no significant impact on 1-year poor prognosis and all-cause mortality.

Fair prediction of 2-year stroke risk in patients with atrial fibrillation.

This study aims to develop machine learning models that provide both accurate and equitable predictions of 2-year stroke risk for patients with atrial fibrillation across diverse racial groups. Our study utilized structured electronic health records (EHR) data from the All of Us Research Program. Machine learning models (LightGBM) were utilized to capture the relations between stroke risks and the predictors used by the widely recognized CHADS2 and CHA2DS2-VASc scores. We mitigated the racial disparity by creating a representative tuning set, customizing tuning criteria, and setting binary thresholds separately for subgroups. We constructed a hold-out test set that not only supports temporal validation but also includes a larger proportion of Black/African Americans for fairness validation. Compared to the original CHADS2 and CHA2DS2-VASc scores, significant improvements were achieved by modeling their predictors using machine learning models (Area Under the Receiver Operating Characteristic curve from near 0.70 to above 0.80). Furthermore, applying our disparity mitigation strategies can effectively enhance model fairness compared to the conventional cross-validation approach. Modeling CHADS2 and CHA2DS2-VASc risk factors with LightGBM and our disparity mitigation strategies achieved decent discriminative performance and excellent fairness performance. In addition, this approach can provide a complete interpretation of each predictor. These highlight its potential utility in clinical practice. Our research presents a practical example of addressing clinical challenges through the All of Us Research Program data. The disparity mitigation framework we proposed is adaptable across various models and data modalities, demonstrating broad potential in clinical informatics.

MSR45 Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients With Atrial Fibrillation and Cancer

MSR45 Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients With Atrial Fibrillation and Cancer

Cardiovascular risk in anti-VEGF treatment of neovascular age-related macular degeneration

ObjectiveAssess 5-year all-cause mortality (ACM), hemorrhagic stroke, ischemic stroke, and myocardial infarction (MI) risks in nAMD patients receiving anti-VEGF injections compared with controls. DesignPopulation-based retrospective cohort study using a U.S. federated health research network, containing de-identified data of 96 million patients from 1/1/2003 to 3/6/2023. ParticipantsnAMD Patients with anti-VEGF injections. Controls included nAMD patients without anti-VEGF injections, non-exudative AMD patients, and patients without AMD. MethodsPatients were identified using nAMD ICD-10 and anti-VEGF CPT codes and matched for age, sex, and comorbidities. Five-year relative risk of ACM (RR1), hemorrhagic stroke (RR2), ischemic stroke (RR3), and MI (RR4) in nAMD patients receiving anti-VEGF injections were calculated. ResultsA total of 27,609 nAMD patients (mean diagnosis age [SD], [78.2 (10.3)]) received anti-VEGF injections; 769 nAMD patients without injections (75.8 [12.2]), 27,599 non-exudative AMD patients (78.2 [10.3]), and 21,902 no-AMD patients (76.1 [10.5]) were identified. After matching, nAMD patients receiving injections did not show increased risk versus nAMD patients without injections (RR1, 0.66; 95% CI [0.53, 0.82]), (RR2, 1.00 [0.42, 2.38]), (RR3, 1.70 [0.92,3.13]), (RR4, 0.63 [0.33, 1.18]). No increased risk was found compared to non-exudative AMD patients (RR1, 0.99 [0.95, 1.03]), (RR2, 0.94 [0.83,1.07]), (RR3, 1.04 [0.96, 1.12]), (RR4, 0.99 [0.91, 1.08]). Increased risk for ACM was observed versus no-AMD patients (RR1, 1.21 [1.15, 1.27]), but no other differences were found (RR2, 0.81 [0.70, 0.93]), (RR3, 1.00 [0.92, 1.09]), (RR4, 0.986 [0.90, 1.09]). ConclusionAnti-VEGF injections were not associated with major cardiovascular events in nAMD patients over 5 years.

Transcatheter heart valve explant with infective endocarditis-associated prosthesis failure and outcomes: the EXPLANT-TAVR international registry.

Surgical explantation of transcatheter heart valves (THVs) is rapidly increasing, but there are limited data on patients with THV-associated infective endocarditis (IE). This study aims to assess the outcomes of patients undergoing THV explant for IE. All patients who underwent THV explant between 2011 and 2022 from 44 sites in the EXPLANT-TAVR registry were identified. Patients with IE as the reason for THV explant were compared to those with other mechanisms of bioprosthetic valve dysfunction (BVD). A total of 372 patients from the EXPLANT-TAVR registry were included. Among them, 184 (49.5%) patients underwent THV explant due to IE and 188 (50.5%) patients due to BVD. At the index transcatheter aortic valve replacement, patients undergoing THV explant for IE were older (74.3 ± 8.6 vs. 71 ± 10.6 years) and had a lower Society of Thoracic Surgeons risk score [2.6% (1.8-5.0) vs. 3.3% (2.1-5.6), P = .029] compared to patients with BVD. Compared to BVD, IE patients had longer intensive care unit and hospital stays (P < .05) and higher stroke rates at 30 days (8.6% vs. 2.9%, P = .032) and 1 year (16.2% vs. 5.2%, P = .010). Adjusted in-hospital, 30-day, and 1-year mortality was 12.1%, 16.1%, and 33.8%, respectively, for the entire cohort, with no significant differences between groups. Although mortality was numerically higher in IE patients 3 years postsurgery (29.6% for BVD vs. 43.9% for IE), Kaplan-Meier analysis showed no significant differences between groups (P = .16). In the EXPLANT-TAVR registry, patients undergoing THV explant for IE had higher 30-day and 1-year stroke rates and longer intensive care unit and hospital stays. Moreover, patients undergoing THV explant for IE had a higher 3-year mortality rate, which did not reach statistical significance given the relatively small sample size of this unique cohort and the reduced number of events.

Association of NOTCH3 Variant Risk Category With 2-Year Clinical and Radiologic Small Vessel Disease Progression in Patients With CADASIL.

Pathogenic variants in NOTCH3 are the main cause of hereditary cerebral small vessel disease (SVD). SVD-associated NOTCH3 variants have recently been categorized into high risk (HR), moderate risk (MR), or low risk (LR) for developing early-onset severe SVD. The most severe NOTCH3-associated SVD phenotype is also known as cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). We aimed to investigate whether NOTCH3 variant risk category is associated with 2-year progression rate of SVD clinical and neuroimaging outcomes in CADASIL. A single-center prospective 2-year follow-up study was performed of patients with CADASIL. Clinical outcomes were incident stroke, disability (modified Rankin Scale), and executive function (Trail Making Test B given A t-scores). Neuroimaging outcomes were mean skeletonized mean diffusivity (MSMD), normalized white matter hyperintensity volume (nWMHv), normalized lacune volume (nLV), and brain parenchymal fraction (BPF). Cox regression and mixed-effect models, adjusted for age, sex, and cardiovascular risk factors, were used to study 2-year changes in outcomes and differences in disease progression between patients with HR-NOTCH3 and MR-NOTCH3 variants. One hundred sixty-two patients with HR (n = 90), MR (n = 67), and LR (n = 5) NOTCH3 variants were included. For the entire cohort, there was 2-year mean progression for MSMD (β = 0.20, 95% CI 0.17-0.23, p = 7.0 × 10-24), nLV (β = 0.13, 95% CI 0.080-0.19, p = 2.1 × 10-6), nWMHv (β = 0.092, 95% CI 0.075-0.11, p = 8.8 × 10-20), and BPF (β = -0.22, 95% CI -0.26 to -0.19, p = 3.2 × 10-22), as well as an increase in disability (p = 0.002) and decline of executive function (β = -0.15, 95% CI -0.30 to -3.4 × 10-5, p = 0.05). The HR-NOTCH3 group had a higher probability of 2-year incident stroke (hazard ratio 4.3, 95% CI 1.4-13.5, p = 0.011), and a higher increase in MSMD (β = 0.074, 95% CI 0.013-0.14, p = 0.017) and nLV (β = 0.14, 95% CI 0.034-0.24, p = 0.0089) than the MR-NOTCH3 group. Subgroup analyses showed significant 2-year progression of MSMD in young (n = 17, β = 0.014, 95% CI 0.0093-0.019, p = 1.4 × 10-5) and premanifest (n = 24, β = 0.012, 95% CI 0.0082-0.016, p = 1.1 × 10-6) individuals. In a trial-sensitive time span of 2 years, we found that patients with HR-NOTCH3 variants have a significantly faster progression of major clinical and neuroimaging outcomes, compared with patients with MR-NOTCH3 variants. This has important implications for clinical trial design and disease prediction and monitoring in the clinic. Moreover, we show that MSMD is a promising outcome measure for trials enrolling premanifest individuals.

Optimal use of antithrombotic agents in recent small subcortical strokes accompanied by atrial fibrillation.

This study aimed to evaluate the efficacy and safety of anticoagulants (AC) and antiplatelets (APT) in patients with recent small subcortical infarctions (RSSI) and atrial fibrillation (AF). We utilized a prospective multicenter stroke registry database to identify patients with RSSI with a concurrent diagnosis of AF. Propensity score matching analysis was used to balance baseline differences among the AC-only, APT-only, and their combination groups. The main outcomes of interest were time to occurrence of minor and major bleeding, stroke recurrence, and all-cause mortality. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for each outcome were calculated using the multivariable Cox proportional hazard regression analysis. Of the 404 eligible patients, 28.2% received APT only, 53.0% received AC only, and 18.9% received a combination of both. Notable differences were observed between these groups in terms of the 1-year stroke recurrence (APT, 32.5%; AC, 5.6%; APT + AC, 9.2%) and all-cause mortality (APT, 21.9%; AC, 6.1%; APT + AC, 14.5%), whereas the rates of bleeding events were comparable. The multivariable analysis indicated a significant association of AC alone with reduced risks of severe bleeding, stroke recurrence, and all-cause mortality compared with APT alone (aHR 0.64, 95% CI 0.41-0.98; aHR 0.11, 95% CI 0.06-0.22; aHR 0.22, 95% CI 0.11-0.44, respectively). The combination group showed a reduced risk of stroke recurrence compared to APT alone (aHR 0.19, 95% CI 0.08-0.46). These findings remained consistent with the propensity score-matched analysis. AC showed better clinical outcomes than APT in patients with RSSI and AF. Additionally, combination therapy with AC and APT was associated with a lower risk of stroke recurrence than APT alone.

Impact of Elevated Gradients After Transcatheter Aortic Valve Implantation for Degenerated Surgical Aortic Valve Bioprostheses.

Elevated aortic valve gradients are common after transcatheter aortic valve implantation for degenerated surgical aortic valve replacement bioprostheses, but their clinical impact is uncertain. A total of 12 122 patients who underwent transcatheter aortic valve implantation-in-surgical aortic valve replacement from November 2011 to December 2019 in the Society of Thoracic Surgery/American College of Cardiology Transvalvular Therapeutics Registry were included. The primary outcome was a composite of 1-year all-cause mortality, stroke, myocardial infarction, or valve reintervention. Secondary outcomes included 1-year all-cause mortality, readmission, and change from baseline 12-question self-administered Kansas City Cardiomyopathy Questionnaire-Overall Summary Score. Due to nonlinearity observed with restricted cubic splines analysis, a Cox regression analysis with aortic valve mean gradient modeled as a spline-continuous variable (with 20 mm Hg as a cutoff) was used to study the 1-year composite outcome and mortality. The composite outcome occurred most frequently in patients with aortic valve mean gradient ≥30 and <10 mm Hg, as compared with those with 10 to 20 and 20 to 30 mm Hg ranges (unadjusted rates, 13.9%, 12.1%, 7.5%, and 6.5%, respectively; P=0.002). When the mean aortic valve gradient was ≥20 mm Hg, higher gradients were associated with greater risk of the 1-year composite outcome (adjusted hazard ratio, 1.02 [1.02-1.03] per mm Hg; P<0.001) and 1-year mortality (adjusted hazard ratio, 1.02 [1.00-1.03] per mm Hg; P=0.007). Whereas when the mean aortic valve gradient was <20 mm Hg, higher gradients were not significantly associated with the composite outcome (adjusted hazard ratio, 0.99 [0.98-1.003] per mm Hg; P=0.12) but were associated with lower 1-year mortality (adjusted hazard ratio, 0.98 [0.97-0.99] per mm Hg; P=0.007). The relationship between postprocedural aortic valve mean gradient after transcatheter aortic valve implantation-in-surgical aortic valve replacement and clinical outcomes is complex and nonlinear, with relatively greater adverse events occurring at low and high gradient extremes. Further study of factors mediating the relationship between postprocedural gradients and clinical outcomes, including low-flow states, is necessary.

Valve-in-Valve Transcatheter Aortic Valve Replacement Versus Redo-Surgical Aortic Valve Replacement in Patients With Aortic Stenosis: A Systematic Review and Meta-analysis

Aortic stenosis is a common and significant valve condition requiring bioprosthetic heart valves (BHV) with transcatheter aortic valve replacement (TAVR) being strongly recommended for high-risk patients or patients over 75. This meta-analysis aimed to pool existing data on post-procedural clinical as well as echocardiographic outcomes comparing ViV-TAVR to redo-SAVR to assess the short-term and medium-term outcomes for both treatment modalities. A systematic literature search on Cochrane Central, Scopus, and Medline (PubMed interface) electronic databases from inception to August 2023. We used odds ratios (OR) for dichotomous outcomes and mean differences (MD) for continuous outcomes. Twenty-four studies (25,216 patients) were pooled with a mean follow-up of 16.4 months. The analysis revealed that ViV-TAVR group showed a significant reduction in 30-day mortality (OR: 0.50 (95% CI: 0.43, 0.58), P < 0.00001), new-onset atrial fibrillation (OR: 0.34 (95% CI: 0.17, 0.67) P = 0.002), major bleeding event (OR: 0.28 (95% CI: 0.17, 0.45), P < 0.00001) and lower rate of device success (OR: 0.25 (95% CI: 0.12, 0.53), P = 0.0003). There were no significant differences between either group when assessing 1-year mortality, stroke, M.I, post-operative LVEF, and effective orifice area. ViV-TAVR cohort showed a significantly increased incidence of paravalvular leaks, aortic regurgitation, and increased mean aortic valve gradient. ViV-TAVR is a viable short-term option for elderly patients with high comorbidities and operative risks, reducing perioperative complications and improving 30-day mortality with no significant cardiovascular adverse events. However, both treatment modalities present similar results on short to medium-term complications assessment.

Ambulatory Cardiology or General Internal Medicine Assessment Prior to Scheduled Major Vascular Surgery is Associated with Improved Outcomes.

To characterize the association between ambulatory cardiology or general internal medicine (GIM) assessment prior to surgery and outcomes following scheduled major vascular surgery. Cardiovascular risk assessment and management prior to high-risk surgery remains an evolving area of care. This is population-based retrospective cohort study of all adults who underwent scheduled major vascular surgery in Ontario, Canada, April 1, 2004-March 31, 2019. Patients who had an ambulatory cardiology and/or GIM assessment within 6 months prior to surgery were compared to those who did not. The primary outcome was 30-day mortality. Secondary outcomes included: composite of 30-day mortality, myocardial infarction or stroke; 30-day cardiovascular death; 1-year mortality; composite of 1-year mortality, myocardial infarction or stroke; and 1-year cardiovascular death. Cox proportional hazard regression using inverse probability of treatment weighting (IPTW) was used to mitigate confounding by indication. Among 50,228 patients, 20,484 (40.8%) underwent an ambulatory assessment prior to surgery: 11,074 (54.1%) with cardiology, 8,071 (39.4%) with GIM and 1,339 (6.5%) with both. Compared to patients who did not, those who underwent an assessment had a higher Revised Cardiac Risk Index (N with Index over 2= 4,989[24.4%] vs. 4,587[15.4%], P<0.001) and more frequent pre-operative cardiac testing (N=7,772[37.9%] vs. 6,113[20.6%], P<0.001) but, lower 30-day mortality (N=551[2.7%] vs. 970[3.3%], P<0.001). After application of IPTW, cardiology or GIM assessment prior to surgery remained associated with a lower 30-day mortality (weighted Hazard Ratio [95%CI] = 0.73 [0.65-0.82]) and a lower rate of all secondary outcomes. Major vascular surgery patients assessed by a cardiology or GIM physician prior to surgery have better outcomes than those who are not. Further research is needed to better understand potential mechanisms of benefit.

DARE-ISC model for prediction of 1-year ischaemic stroke risk in the general population and atrial fibrillation patients: a Danish nationwide cohort study

ObjectivesTo develop a risk assessment model (DAnish REgister Ischaemic Stroke Classifier, DARE-ISC) for predicting 1-year primary ischaemic stroke/systemic embolism (SE) in the general population. Secondly, to validate the accuracy DARE-ISC...

Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer

In this study, we leveraged machine learning (ML) approach to develop and validate new assessment tools for predicting stroke and bleeding among patients with atrial fibrillation (AFib) and cancer. We conducted a retrospective cohort study including patients who were newly diagnosed with AFib with a record of cancer from the 2012–2018 Surveillance, Epidemiology, and End Results (SEER)-Medicare database. The ML algorithms were developed and validated separately for each outcome by fitting elastic net, random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and neural network models with tenfold cross-validation (train:test = 7:3). We obtained area under the curve (AUC), sensitivity, specificity, and F2 score as performance metrics. Model calibration was assessed using Brier score. In sensitivity analysis, we resampled data using Synthetic Minority Oversampling Technique (SMOTE). Among 18,388 patients with AFib and cancer, 523 (2.84%) had ischemic stroke and 221 (1.20%) had major bleeding within one year after AFib diagnosis. In prediction of ischemic stroke, RF significantly outperformed other ML models [AUC (0.916, 95% CI 0.887–0.945), sensitivity 0.868, specificity 0.801, F2 score 0.375, Brier score = 0.035]. However, the performance of ML algorithms in prediction of major bleeding was low with highest AUC achieved by RF (0.623, 95% CI 0.554–0.692). RF models performed better than CHA2DS2-VASc and HAS-BLED scores. SMOTE did not improve the performance of the ML algorithms. Our study demonstrated a promising application of ML in stroke prediction among patients with AFib and cancer. This tool may be leveraged in assisting clinicians to identify patients at high risk of stroke and optimize treatment decisions.

Sex differences in the outcomes after transcatheter aortic valve replacement with newer generation devices: A meta-analysis.

Transcatheter aortic valve replacement (TAVR) is a reasonable therapeutic approach among patients with symptomatic severe aortic stenosis irrespective of surgical risk. Data regarding sex-specific differences in the outcomes with newer generation valves are limited. Electronic databases were searched for studies assessing sex differences in the outcomes of patients undergoing TAVR with newer generation valves (SAPIEN 3 or Evolut). Random effects model was constructed for summary estimates. Four observational studies with 4522 patients (44.8% women) were included in the meta-analysis. Women were older and had a lower prevalence of coronary artery disease and mean EuroScore. Women had a higher incidence of short-term mortality (up to 30 days) (risk ratio [RR]: 1.60, 95% confidence interval [CI]: 1.14-2.25), but no difference in 1-year mortality (RR: 0.92, 95% CI: 0.72-1.17). There was no significant difference in the incidence of major bleeding (RR: 1.16, 95% CI: 0.86-1.57), permanent pacemaker (PPM) (RR: 0.80, 95% CI: 0.62-1.04), or disabling stroke (RR: 1.16, 95% CI: 0.54-2.45). In this meta-analysis, we found that women undergoing TAVR with newer-generation devices were older but had a lower prevalence of comorbidities. Women had a higher incidence of short-term mortality but no difference in the 1-year mortality, bleeding, PPM, or stroke compared with men. Future studies are required to confirm these findings.