Sex-Based Differences in Patients With Left Ventricular-Assisted Devices and Strokes.

Background: Sex-based differences in clinical outcomes among patients with stroke related to left ventricular assist devices (LVADs) are not well described. Objectives: In this study, the authors examined differences in clinical characteristics and outcomes in men and women who had a stroke during LVAD hospitalization. Methods: The National Inpatient Sample from 2010 and 2019 was used to identify patients with stroke during LVAD hospitalization. Outcomes of interest include inpatient mortality and clinical complications among men vs women. Weighted logistic regression was used to determine the association of sex and outcomes. Adjustments were made for age and the Elixhauser comorbidity index. Results: In total, 35,820 patients underwent LVAD implantation (77% men), and 6.12% (n = 2,192) of patients experienced stroke. Women who had stroke were younger than men who had stroke (mean age in women was 51 years vs men 59 years, P < 0.001). Men with strokes had a higher burden of comorbidities than women. While there were no differences in the odds of ischemic stroke, women had higher odds of hemorrhagic stroke compared to men (OR: 1.49 [95% CI: 1.02-2.18]). Mortality in patients with LVAD who had stroke was significantly higher than in those without stroke. Between 2010 and 2019, stroke rates significantly increased among men, while the trend remained variable among women. Conclusions: In this national cohort, men had a higher comorbidity burden and had worsening stroke trends over the last decade compared to women. Women had fewer LVAD implants and a higher incidence of hemorrhagic stroke. Understanding the factors that contribute to sex-related outcome disparities among LVAD stroke patients is crucial in addressing these diverging trends.

Cardiovascular Health and Disease in the Pakistani American Population.

PURPOSE OF REVIEW: This narrative review seeks to elucidate clinical and social factors influencing cardiovascular health, explore the challenges and potential solutions for enhancing cardiovascular health, and identify areas where further research is needed to better understand cardiovascular issues in native and American Pakistani populations. RECENT FINDINGS: The prevalence of cardiometabolic disease is high not only in Pakistan but also among its global diaspora. This situation is further complicated by the inadequacy of current cardiovascular risk assessment tools, which often fall short of accurately gauging the risk among Pakistani individuals, underscoring the urgent need for more tailored and effective assessment methodologies. Moreover, social determinants play a crucial role in shaping cardiovascular health. The burden of cardiovascular disease and upstream risk factors is high among American Pakistani individuals. Future research is needed to better understand the heightened risk of cardiovascular disease among Pakistani individuals.

Percutaneous coronary intervention before transcatheter aortic valve implantation: A propensity score matched analysis.

BACKGROUND: The role of percutaneous coronary intervention (PCI) in patients with stable coronary artery disease (CAD) who subsequently undergo transcatheter aortic valve replacement (TAVR) remains uncertain. Therefore, we conducted this study to assess the association of PCI before TAVR with mortality and cardiovascular outcomes. METHODS: We used the TriNetX database (Jan 2012 - Aug 2022) and grouped patients into PCI (3 months or less) before TAVR and no PCI. We performed propensity score matched (PSM) analyses for outcomes at 30 days and 1 year. RESULTS: Of 17,120 patients undergoing TAVR, 2322 (14 %) had PCI, and 14,798 (86 %) did not have PCI before TAVR. In the PSM cohort (2026 patients in each group), PCI was not associated with lower all-cause mortality at 30 days (HR: 1.25, 95 % CI: 0.82-1.90) or 1 year (HR: 1.02, 95 % CI: 0.83-1.24). Frequency of repeat PCI after TAVR was low in both no PCI vs. PCI (2.4 % vs. 1.2 %) at 1 year; PCI was associated with a lower rate of repeat PCI (HR: 0.49, 95 % CI: 0.30-0.80). Sensitivity analysis revealed an E-value of 3.5 for repeat PCI (E-value for lower CI for HR: 1.81). PCI was not linked to reductions in MI, heart failure exacerbation, all-cause hospitalization, major bleeding, or permanent pacemaker/implantable cardioverter defibrillator. CONCLUSION: This analysis showed that PCI prior to TAVR was not associated with improvement in all-cause mortality. However, PCI was associated with a reduced rate of repeat PCI at 1 year.

Association of cardiovascular risk profile with premature all-cause and cardiovascular mortality in US adults: findings from a national study.

OBJECTIVE: To assess the association between cardiovascular risk factor (CRF) profile and premature all-cause and cardiovascular disease (CVD) mortality among US adults (age < 65). METHODS: This study used data from the National Health Interview Survey from 2006 to 2014, linked to the National Death Index for non-elderly adults aged < 65 years. A composite CRF score (range = 0-6) was calculated, based on the presence or absence of six established cardiovascular risk factors: hypertension, diabetes, hypercholesterolemia, smoking, obesity, and insufficient physical activity. CRF profile was defined as "Poor" (≥ 3 risk factors), "Average" (1-2), or "Optimal" (0 risk factors). Age-adjusted mortality rates (AAMR) were reported across CRF profile categories, separately for all-cause and CVD mortality. Cox proportional hazard models were used to evaluate the association between CRF profile and all-cause and CVD mortality. RESULTS: Among 195,901 non-elderly individuals (mean age: 40.4 ± 13.0, 50% females and 70% Non-Hispanic (NH) White adults), 24.8% had optimal, 58.9% average, and 16.2% poor CRF profiles, respectively. Participants with poor CRF profile were more likely to be NH Black, have lower educational attainment and lower income compared to those with optimal CRF profile. All-cause and CVD mortality rates were three to four fold higher in individuals with poor CRF profile, compared to their optimal profile counterparts. Adults with poor CRF profile experienced 3.5-fold (aHR: 3.48 [95% CI: 2.96, 4.10]) and 5-fold (aHR: 4.76 [3.44, 6.60]) higher risk of all-cause and CVD mortality, respectively, compared to those with optimal profile. These results were consistent across age, sex, and race/ethnicity subgroups. CONCLUSIONS: In this population-based study, non-elderly adults with poor CRF profile had a three to five-fold higher risk of all-cause and CVD mortality, compared to those with optimal CRF profile. Targeted prevention efforts to achieve optimal cardiovascular risk profile are imperative to reduce the persistent burden of premature all-cause and CVD mortality in the US.

Development and Validation of a Machine Learning Risk-Prediction Model for 30-Day Readmission for Heart Failure Following Transcatheter Aortic Valve Replacement (TAVR-HF Score).

Transcatheter aortic valve replacement (TAVR) is the treatment of choice for patients with severe aortic stenosis across the spectrum of surgical risk. About one-third of 30-day readmissions following TAVR are related to heart failure (HF). Hence, we aim to develop an easy-to-use clinical predictive model to identify patients at risk for HF readmission. We used data from the National Readmission Database (2015-2018) utilizing ICD-10 codes to identify TAVR procedures. Readmission was defined as the first unplanned HF readmission within 30-day of discharge. A machine learning framework was used to develop a 30-day TAVR-HF readmission score. The receiver operator characteristic curve was used to evaluate the predictive power of the model. A total of 92,363 cases of TAVR were included in the analysis. Of the included patients, 3299 (3.6%) were readmitted within 30 days of discharge with HF. Individuals who got readmitted, vs those without readmission, had more emergent admissions during index procedure (33.4% vs 19.8%), electrolyte abnormalities (38% vs 16.7%), chronic kidney disease (34.8% vs 21.2%), and atrial fibrillation (60.1% vs 40.7%). Candidate variables were ranked by importance using a parsimony plot. A total of 7 variables were selected based on predictive ability as well as clinical relevance: HF with reduced ejection fraction (25 points), HF preserved EF (20 points), electrolyte abnormalities (17 points), atrial fibrillation (12 points), Charlson comorbidity index (<6 = 0, 6-8 = 9, 9-10 = 13, >10 = 14 points), chronic kidney disease (7 points), and emergent index admission (5 points). On performance evaluation using the testing dataset, an area under the curve of 0.761 (95% CI 0.744-0.778) was achieved. Thirty-day TAVR-HF readmission score is an easy-to-use risk prediction tool. The score can be incorporated into electronic health record systems to identify at-risk individuals for readmissions with HF following TAVR. However, further external validation studies are needed.

Social disadvantage, coronary artery calcium, and their interplay in the prediction of atherosclerotic cardiovascular disease events.

BACKGROUND AND AIMS: Social determinants of health (SDOH) are key for the identification of populations at increased risk of atherosclerotic cardiovascular disease (ASCVD). However, whether at the individual level SDOH improve current ASCVD risk prediction paradigms beyond traditional risk factors and the coronary artery calcium (CAC) score, is unknown. We evaluated the interplay between CAC and SDOH in ASCVD risk prediction. METHODS: MESA is a prospective study of US adults free of clinical ASCVD at baseline. We used an SDOH index inclusive of 14 determinants from 5 domains. The index ranged 0-1 and was divided into quartiles, with higher ones representing worse SDOH. Cox regression was used to evaluate the adjusted associations between CAC, SDOH, their interplay, and ASCVD events. The C-statistic was computed to assess improvement in risk discrimination for prediction of ASCVD events. RESULTS: We included 6479 MESA participants (50% with CAC = 0, 24% CAC>100). ASCVD incidence increased with increasing CAC scores across SDOH quartiles. The lowest incidence was noted in those with CAC = 0 and favourable SDOH (2/1000 person-years) and highest in those with CAC>100 and most unfavourable SDOH (20.6/1000 person-years). While CAC was strongly associated with ASCVD across SDOH quartiles, SDOH was weakly associated with ASCVD across CAC strata. CAC improved the discriminatory ability of all prediction models beyond traditional risk factors, the improvement in C-statistic ranging +0.02 - +0.05. Improvements with SDOH were smaller, and were none on top of CAC. CONCLUSIONS: CAC improves ASCVD risk stratification across the spectrum of social vulnerability, while SDOH fail to improve risk prediction beyond traditional RFs and CAC.

Intravascular imaging guided versus coronary angiography guided percutaneous coronary intervention: systematic review and meta-analysis.

OBJECTIVE: To assess the absolute treatment effects of intravascular imaging guided versus angiography guided percutaneous coronary intervention in patients with coronary artery disease, considering their baseline risk. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed/Medline, Embase, and Cochrane Library databases up to 31 August 2023. STUDY SELECTION: Randomized controlled trials comparing intravascular imaging (intravascular ultrasonography or optical coherence tomography) guided versus coronary angiography guided percutaneous coronary intervention in adults with coronary artery disease. MAIN OUTCOME MEASURES: Random effect meta-analysis and GRADE (grading of recommendations, assessment, development, and evaluation) were used to assess certainty of evidence. Data included rate ratios and absolute risks per 1000 people for cardiac death, myocardial infarction, stent thrombosis, target vessel revascularization, and target lesion revascularization. Absolute risk differences were estimated using SYNTAX risk categories for baseline risks at five years, assuming constant rate ratios across different cardiovascular risk thresholds. RESULTS: In 20 randomized controlled trials (n=11 698), intravascular imaging guided percutaneous coronary intervention was associated with a reduced risk of cardiac death (rate ratio 0.53, 95% confidence interval 0.39 to 0.72), myocardial infarction (0.81, 0.68 to 0.97), stent thrombosis (0.44, 0.27 to 0.72), target vessel revascularization (0.74, 0.61 to 0.89), and target lesion revascularization (0.71, 0.59 to 0.86) but not all cause death (0.81, 0.64 to 1.02). Using SYNTAX risk categories, high certainty evidence showed that from low risk to high risk, intravascular imaging was likely associated with 23 to 64 fewer cardiac deaths, 15 to 19 fewer myocardial infarctions, 9 to 13 fewer stent thrombosis events, 28 to 38 fewer target vessel revascularization events, and 35 to 48 fewer target lesion revascularization events per 1000 people. CONCLUSIONS: Compared with coronary angiography guided percutaneous coronary intervention, intravascular imaging guided percutaneous coronary intervention was associated with significantly reduced cardiac death and cardiovascular outcomes in patients with coronary artery disease. The estimated absolute effects of intravascular imaging guided percutaneous coronary intervention showed a proportional relation with baseline risk, driven by the severity and complexity of coronary artery disease. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023433568.

ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects.

Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including medical research. Among the various AI tools, OpenAI's ChatGPT, a state-of-the-art language model, has demonstrated immense potential in aiding and enhancing research processes. This review explores the application of ChatGPT in medical hospital level research, focusing on its capabilities for academic writing assistance, data analytics, statistics handling, and code generation. Notably, it delves into the model's ability to streamline tasks, support decision making, and improve patient interaction. However, the article also underscores the importance of exercising caution while dealing with sensitive healthcare data and highlights the limitations of ChatGPT, such as its potential for erroneous outputs and biases. Furthermore, the review discusses the ethical considerations that arise with AI use in health care, including data privacy, AI interpretability, and the risk of AI-induced disparities. The article culminates by envisioning the future of AI in medical research, emphasizing the need for robust regulatory frameworks and guidelines that balance the potential of AI with ethical considerations. As AI continues to evolve, it holds promising potential to augment medical research in a manner that is ethical, equitable, and patient-centric.

Outcomes With Intravascular Ultrasound and Optical Coherence Tomography Guidance in Percutaneous Coronary Intervention.

Intracoronary imaging has become an important tool in the treatment of complex lesions with percutaneous coronary intervention (PCI). This retrospective cohort study identified 1,118,475 patients with PCI from the Nationwide Readmissions Database from 2017 to 2019. Intravascular ultrasound (IVUS) and optical coherence tomography (OCT) were identified with appropriate International Classification of Diseases, Tenth Revision codes. The primary outcome was major adverse cardiac events. The secondary outcomes include net adverse clinical events (NACEs), all-cause mortality, myocardial infarction (MI) readmission, admission for stroke, and emergency revascularization. The multivariate Cox proportional hazard regression was used to adjust for demographic and co-morbid confounders. Of 1,118,475 PCIs, 86,140 (7.7%) used IVUS guidance and 5,617 (0.5%) used OCT guidance. The median follow-up time was 184 days. The primary outcome of major adverse cardiac events was significantly lower for the IVUS (6.5% vs 7.6%; hazard ratio [HR] 0.89, 95% confidence interval [CI] 0.86 to 0.91, p <0.001) and OCT (4.4% vs 7.6%; HR 0.69, 95% CI 0.61 to 0.79, p <0.001) groups. IVUS was associated with significantly lower rates of NACEs (8.4% vs 9.4%; HR 0.92, 95% CI 0.89 to 0.94, p <0.001), all-cause mortality (3.5% vs 4.3%; HR 0.85, 95% CI 0.82 to 0.88, p <0.001), readmission for MI (2.7% vs 3.0%; HR 0.95, 95% CI 0.91 to 0.99, p = 0.012), and admission for stroke (0.5% vs 0.6%; HR 0.86, 95% CI 0.78 to 0.95, p = 0.002). OCT was associated with significantly lower rates of NACEs (6.6% vs 9.4%; HR 0.81, 95% CI 0.73 to 0.89, p <0.001) and all-cause mortality (1.8% vs 4.3%; HR 0.51, 95% CI 0.42 to 0.63, p <0.001). Emergency revascularization was not significantly different with IVUS guidance. Readmission for MI, stroke, and emergency revascularization were not significantly different with OCT guidance. A subgroup analysis of patients with ST-elevation MI and non-ST-elevation MI showed similar results. In conclusion, the use of IVUS and OCT guidance with PCI were associated with significantly lower rates of morbidity and mortality in real-world practice.

Sodium-Glucose Cotransporter-2 Inhibitors and Primary Prevention of Atherosclerotic Cardiovascular Disease: A Meta-Analysis of Randomized Trials and Systematic Review.

Background Sodium-glucose cotransporter-2 (SGLT2) inhibitors reduce atherosclerotic cardiovascular disease (ASCVD) events in patients with prior ASCVD and type 2 diabetes; however, this benefit is uncertain in patients without established ASCVD. Methods and Results Large-scale cardiovascular outcome randomized controlled trials or their prespecified subgroup analyses were selected, evaluating SGLT2 inhibitors versus placebo for primary prevention of ASCVD (inception, March 2023). The primary outcome was atherosclerotic major adverse cardiovascular events (MACEs), which was a composite of cardiovascular mortality, myocardial infarction, and stroke. The secondary outcomes were individual components of MACEs and all-cause mortality. The outcomes were reported as random-effect relative risk (RR) with a 95% CI. This analysis, comprising 23 987 patients enrolled in 5 randomized controlled trials with a mean follow-up duration of ≈135 weeks, found no significant reduction in atherosclerotic MACEs with SGLT2 inhibitors in comparison to placebo (RR, 0.85 [95% CI, 0.71-1.01]; P=0.07; I2=44). There were no significant differences in cardiovascular mortality (RR, 0.93 [95% CI, 0.77-1.14]; P=0.50; I2=0), myocardial infarction (RR, 0.88 [95% CI, 0.69-1.11]; P=0.28; I2=23), and stroke (RR, 0.84 [95% CI, 0.62-1.16]; P=0.29; I2=46). SGLT2 inhibitors significantly improved all-cause mortality (RR, 0.85 [95% CI, 0.72-1.0]; P=0.04; I2=23). On subgroup analyses, the use of SGLT2 inhibitors led to significant reductions in MACEs (RR, 0.74 [95% CI, 0.61-0.89]; P=0.001), myocardial infarction (RR, 0.67 [95% CI, 0.47-0.97]; P=0.03), and stroke (RR, 0.61 [95% CI, 0.41-0.91]; P=0.01) primarily in patients with chronic kidney disease along with type 2 diabetes, whereas these benefits were not observed in patients with type 2 diabetes without chronic kidney disease. Conclusions SGLT2 inhibitors significantly reduced atherosclerotic MACEs in subjects having both chronic kidney disease and type 2 diabetes without established ASCVD.

An Updated Meta-Analysis on Cerebral Embolic Protection in Patients Undergoing Transcatheter Aortic Valve Intervention Stratified by Baseline Surgical Risk and Device Type.

Background: Transcatheter aortic valve intervention (TAVI) can lead to the embolization of debris. Capturing the debris by cerebral embolic protection (CEP) devices may reduce the risk of stroke. New evidence has allowed us to examine the effects of CEP in patients undergoing TAVI. We aimed to assess the effects of CEP overall and stratified by the device used (SENTINEL or TriGuard) and the surgical risk of the patients. Methods: We selected randomized controlled trials using electronic databases through September 17, 2022. We estimated random-effects risk ratios (RR) with (95% confidence interval) and calculated absolute risk differences at 30 days across baseline surgical risks derived from the TAVI trials for any stroke (disabling and nondisabling) and all-cause mortality. Results: Among 6 trials (n = 3921), CEP vs. control did not reduce any stroke [RR: 0.95 (0.50-1.81)], disabling [RR: 0.75 (0.18-3.16)] or nondisabling [RR: 0.99 (0.65-1.49)] strokes, or all-cause mortality [RR: 1.23 (0.55-2.77)]. However, when analyzed by device, SENTINEL reduced disabling stroke [RR: 0.46 (0.22-0.95)], translating into 6 fewer per 1000 in high-risk, 3 fewer per 1000 in intermediate-risk, and 1 fewer per 1000 in low surgical-risk patients. CEP vs. control did not reduce the risk of any bleeding [RR: 1.03 (0.44-2.40)], major vascular complications [RR: 1.41 (0.57-3.48)], or acute kidney injury [RR: 1.36 (0.57-3.28)]. Conclusions: This updated meta-analysis showed that SENTINEL CEP might reduce disabling stroke in patients undergoing TAVI. Patients with high and intermediate surgical risks were most likely to derive benefits.

Implications of Social Disadvantage Score in Cardiovascular Outcomes and Risk Assessment: Findings From the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Social determinants of health contribute to disparate cardiovascular outcomes, yet they have not been operationalized into the current paradigm of cardiovascular risk assessment. METHODS: Data from the Multi-Ethnic Study of Atherosclerosis, which includes participants from 6 US field centers, were used to create an index of baseline Social Disadvantage Score (SDS) to explore its association with incident atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality and impact on ASCVD risk prediction. SDS, which ranges from 0 to 4, was calculated by tallying the following social factors: (1) household income less than the federal poverty level; (2) educational attainment less than a high school diploma; (3) single-living status; and (4) experience of lifetime discrimination. Cox models were used to examine the association between SDS and each outcome with adjustment for traditional cardiovascular risk factors. Changes in the discrimination and reclassification of ASCVD risk by incorporating SDS into the pooled cohort equations were examined. RESULTS: A total of 6434 participants (mean age, 61.9±10.2 years; female 52.8%; non-white 60.9%) had available SDS 1733 (26.9%) with SDS 0; 2614 (40.6%) with SDS 1; 1515 (23.5%) with SDS 2; and 572 (8.9%) with SDS ≥3. In total, 775 incident ASCVD events and 1573 deaths were observed over a median follow-up of 17.0 years. Increasing SDS was significantly associated with incident ASCVD and all-cause mortality after adjusting for traditional risk factors (ASCVD: per unit increase in SDS hazard ratio, 1.15 [95% CI, 1.07-1.24]; mortality: per unit increase in SDS hazard ratio, 1.13 [95% CI, 1.08-1.19]). Adding SDS to pooled cohort equations components in a Cox model for 10-year ASCVD risk prediction did not significantly improve discrimination (P=0.208) or reclassification (P=0.112). CONCLUSIONS: Although SDS is independently associated with incident ASCVD and all-cause mortality, it does not improve 10-year ASCVD risk prediction beyond pooled cohort equations.

Statins for Attenuating Cardiotoxicity in Patients Receiving Anthracyclines: A Systematic Review and Meta-Analysis.

Anthracycline chemotherapy causes cardiotoxicity, and the evidence regarding the benefit of concomitant statin use in reducing it remains uncertain. We conducted a meta-analysis of studies using statins and anthracyclines by searching PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov from inception until April 10, 2023. Our analysis included 3 observational studies and 4 RCTs, including the STOP-CA trial released in ACC23. Statin prescription significantly reduced cardiotoxicity in cancer patients receiving anthracycline chemotherapy (OR 0.46, 95% CI: 0.33-0.63; I2: 0%). However, no significant difference was observed in the decline of left ventricular ejection fraction (LVEF) from baseline (MD 4.15, 95% CI: -0.69 to 8.99, I2: 97%). These findings demonstrate the protective effect of concomitant statin prescription.