Singh, Mandeep

Introduction: Valvular heart disease (VHD) poses a growing global burden, particularly in aging populations. While transcatheter interventions have expanded rapidly over the past two decades, the extent to which trial populations reflect real-world demographics—especially age and sex—is unclear. Understanding enrollment trends and representation gaps is essential to ensure equitable, generalizable evidence for clinical decision-making. Methods: We systematically reviewed VHD interventional trials (2000–2024) indexed in PubMed. Surgical and percutaneous trials across aortic, mitral, tricuspid, and pulmonic valves were included. Trial characteristics, demographics, and interventions were analyzed using descriptive and nonparametric statistics. Results: We included 487 trials enrolling 87,412 participants (45% women). Median trial size increased over time (z = 4.98, p < 0.01), and the mean age of participants also rose significantly (z = 10.08, p < 0.01). Trials involving percutaneous (11% to 45%), bioprosthetic (22% to 53%), aortic valve (27% to 62%), and multinational (2% to 16%) interventions increased over time. Older participants were more commonly enrolled in percutaneous, industry-funded, multinational, bioprosthetic, and aortic valve trials. Female representation remained unchanged across time (median 47%, z = -0.48, p = 0.63), but trials enrolling older participants tended to include more women (ρ = 0.196, p < 0.01). Female representation was highest in mitral (59%) and tricuspid (59%) valve trials, and more common in percutaneous (52%) than surgical (42%) interventions. Conclusion: Over the past two decades, VHD trials have expanded in size and geographic scope, with increased enrollment of older adults, particularly in percutaneous and industry-sponsored studies. However, sex disparities and demographic variability persist. Future trials should prioritize inclusive designs to ensure equitable, generalizable evidence for evolving valve interventions.

Background A contemporary, comprehensive risk score for the prediction of in‐hospital fatal and nonfatal adverse events after percutaneous coronary intervention has been recently developed, albeit its external validation in patients with acute coronary syndrome is lacking. The objective of this study is to validate the Mayo Clinic integer risk score in a large cohort of patients with acute coronary syndrome undergoing percutaneous coronary intervention from the MATRIX (Minimizing Adverse Haemorrhagic Events by Transradial Access Site and Systemic Implementation of Angiox) trial. Methods The risk score is composed of a common set of 23 clinical and procedural variables (model A) and 18 preprocedural variables (model B). The primary objective was to appraise the receiver‐operator characteristics of both models for in‐hospital mortality, bleeding, contrast‐associated acute kidney injury, and stroke. The impact of risk score categories on 1‐year outcomes was also investigated. Results Among the 6724 patients undergoing percutaneous coronary intervention in the MATRIX trial, the receiver‐operator characteristics—area under the curves for in‐hospital mortality, bleeding, contrast‐associated acute kidney injury, and stroke were 0.88 (95% CI, 0.85–0.91), 0.66 (95% CI, 0.63–0.69), 0.70 (95% CI, 0.67–0.72), and 0.65 (95% CI, 0.52–0.78) for model A and 0.88 (95% CI, 0.84–0.92), 0.63 (95% CI, 0.60–0.66), 0.66 (95% CI, 0.63–0.69), and 0.65 (95% CI, 0.52–0.78) for model B, respectively. Mortality (model A), bleeding, and stroke risks were well calibrated, whereas mortality (model B) and contrast‐associated acute kidney injury risk were underestimated. There was a gradual risk increase for 1‐year mortality and bleeding as a function of the risk score tertile using both models. Conclusions The risk score identifies patients with acute coronary syndrome at incremental risk of in‐hospital mortality, bleeding, contrast‐associated acute kidney injury, and stroke, representing a valuable tool for mitigation of modifiable risk factors. Registration URL: https://www.clinicaltrials.gov ; Unique Identifier: NCT01433627.

Background We tested whether biologic age, as estimated by deficits, functional impairments, or Age‐Gap or their combination, provide improved estimation of cause‐specific death as compared with chronological age. Methods Cardiovascular and noncardiovascular deficits, functional impairments, and Age‐Gap were prospectively collected in 535 patients aged ≥55 years undergoing percutaneous coronary interventions between August 1, 2014, and March 31, 2018. Age‐Gap was calculated as the difference between chronological age and age estimated by artificial intelligence ECG using a convolutional neural network. The full biological age model included deficits, functional impairments, and Age‐Gap >2 SD. A multivariable reduced model with the least number of variables was also created to provide a comparable C index to the full model. Results The average chronological age was 72.1±9.5 years, and there were 68% of men. During a median follow‐up of 2.61 years, 124 (23%) patients died. There was a modest correlation between Age‐Gap and biological age ( r =0.28 [95% CI, 0.20–0.35]; P <0.001). When modeled with chronologic age as a covariate, Age‐Gap predicted all‐cause (hazard ratio [HR], 1.07 [95% CI, 1.04–1.10]; P <0.001) and cardiovascular (HR, 1.07 [95% CI, 1.04–1.11]; P <0.001) mortality. As compared with chronological age, the full biological age model noted significant improvement in the prediction of long‐term overall (95% CI, 0.65–0.78), cardiovascular (95% CI, 0.69–0.77), and noncardiovascular (95% CI, 0.55–0.86) mortality. In the reduced models, most prognostic information for noncardiovascular mortality (C index: 0.79) was obtained by subjective difficulty in performing tasks, whereas the deficit‐based estimation predicted cardiovascular mortality (C index: 0.72). Conclusions Estimated biological age from deficits and functional impairments was superior to chronological age in predicting long‐term cause‐specific mortality following percutaneous coronary interventions.

AbstractBackgroundThere has been conflicting reports on the effect of new trainees on clinical outcomes at teaching hospitals in the first training month (July in the United States of America). We sought to assess this “July effect” in a contemporary acute myocardial infarction (AMI) population.MethodsAdult (>18 years) AMI hospitalizations in May and July in urban teaching and urban nonteaching hospitals in the United States were identified from the HCUP‐NIS database (2000–2017). In‐hospital mortality was compared between May and July admissions. A difference‐in‐difference analysis comparing a change in outcome from May to July in teaching hospitals to a change in outcome from May to July in nonteaching hospitals was also performed.ResultsA total of 1,312,006 AMI hospitalizations from urban teaching (n = 710,593; 54.2%) or nonteaching (n = 601,413; 45.8%) hospitals in the months of May and July were evaluated. May admissions in teaching hospitals, had greater comorbidity, higher rates of acute multiorgan failure (10.6% vs. 10.2%, p < 0.001) and lower rates of cardiac arrest when compared to July admissions. July AMI admissions had lower in‐hospital mortality compared to May (5.6% vs. 5.8%; adjusted odds ratio 0.94 [95% confidence interval 0.92–0.97]; p < 0.001) in teaching hospitals. Using the difference‐in‐difference model, there was no evidence of a July effect for in‐hospital mortality (p = 0.19).ConclusionsThere was no July effect for in‐hospital mortality in this contemporary AMI population.

Background and objectives: Primary percutaneous coronary intervention (PCI)-related outcomes in acute myocardial infarction (AMI) have improved over time, but there are limited data on the length of stay (LOS) in relation to in-hospital mortality. Materials and Methods: A retrospective cohort of adult AMI admissions was identified from the National Inpatient Sample (2000–2017) and stratified into short (≤3 days) and long (>3 days) LOS. Outcomes of interest included temporal trends in LOS and associated in-hospital mortality, further sub-stratified based on demographics and comorbidities. Results: A total 11,622,528 admissions with AMI were identified, with a median LOS of 3 (interquartile range [IQR] 2–6) days with 49.9% short and 47.3% long LOS, respectively. In 2017, compared to 2000, temporal trends in LOS declined in all AMI, with marginal increases in LOS >3 days and decreases for ≤3 days (median 2 [IQR 1–3]) vs. long LOS (median 6 [IQR 5–9]). Patients with long LOS had lower rates of coronary angiography and PCI, but higher rates of non-cardiac organ support (respiratory and renal) and use of coronary artery bypass grafting. Unadjusted in-hospital mortality declined over time. Short LOS had comparable mortality to long LOS (51.3% vs. 48.6%) (p = 0.13); however, adjusted in-hospital mortality was higher in LOS >3 days when compared to LOS ≤ 3 days (adjusted OR 3.00, 95% CI 2.98–3.02, p < 0.001), with higher hospitalization (p < 0.001) when compared to long LOS. Conclusions: Median LOS in AMI, particularly in STEMI, has declined over the last two decades with a consistent trend in subgroup analysis. Longer LOS is associated with higher in-hospital mortality, higher hospitalization costs, and less frequent discharges to home compared to those with shorter LOS.

Background: Previous percutaneous coronary intervention risk models were focused on single outcome, such as mortality or bleeding, etc, limiting their applicability. Our objective was to develop contemporary percutaneous coronary intervention risk models that not only determine in-hospital mortality but also predict postprocedure bleeding, acute kidney injury, and stroke from a common set of variables. Methods: We built risk models using logistic regression from first percutaneous coronary intervention for any indication per patient (n=19 322, 70.6% with acute coronary syndrome) using the Mayo Clinic registry from January 1, 2000 to December 31, 2016. Approval for the current study was obtained from the Mayo Foundation Institutional Review Board. Patients with missing outcomes (n=4183) and those under 18 (n=10) were removed resulting in a sample of 15 129. We built both models that included procedural and angiographic variables (Models A) and precatheterization model (Models B). Results: Death, bleeding, acute kidney injury, and stroke occurred in 247 (1.6%), 650 (4.3%), 1184 (7.8%), and 67 (0.4%), respectively. The C statistics from the test dataset for models A were 0.92, 0.70, 0.77, and 0.71 and for models B were 0.90, 0.67, 0.76, and 0.71 for in-hospital death, bleeding, acute kidney injury, and stroke, respectively. Bootstrap analysis indicated that the models were not overfit to the available dataset. The probabilities estimated from the models matched the observed data well, as indicated by the calibration curves. The models were robust across many subgroups, including women, elderly, acute coronary syndrome, cardiogenic shock, and diabetes. Conclusions: The new risk scoring models based on precatheterization variables and models including procedural and angiographic variables accurately predict in-hospital mortality, bleeding, acute kidney injury, and stroke. The ease of its application will provide useful prognostic and therapeutic information to both patients and physicians.

ABSTRACT Background: There are limited data on the temporal trends, incidence, and outcomes of ST-segment-elevation myocardial infarction-cardiogenic shock (STEMI-CS). Methods: Adult (>18 years) STEMI-CS admissions were identified using the National Inpatient Sample (2000–2017) and classified by tertiles of admission year (2000–2005, 2006–2011, 2012–2017). Outcomes of interest included temporal trends, acute organ failure, cardiac procedures, in-hospital mortality, hospitalization costs, and length of stay. Results: In ∼4.3 million STEMI admissions, CS was noted in 368,820 (8.5%). STEMI-CS incidence increased from 5.8% in 2000 to 13.0% in 2017 (patient and hospital characteristics adjusted odds ratio [aOR] 2.45 [95% confidence interval {CI} 2.40–2.49]; P < 0.001). Multiorgan failure increased from 55.5% (2000–2005) to 74.3% (2012–2017). Between 2000 and 2017, coronary angiography and percutaneous coronary intervention use increased from 58.8% to 80.1% and 38.6% to 70.6%, whereas coronary artery bypass grafting decreased from 14.9% to 10.4% (all P < 0.001). Over the study period, the use of intra-aortic balloon pump (40.6%–37.6%) decreased, and both percutaneous left ventricular assist devices (0%–12.9%) and extra-corporeal membrane oxygenation (0%–2.8%) increased (all P < 0.001). In hospital mortality decreased from 49.6% in 2000 to 32.7% in 2017 (aOR 0.29 [95% CI 0.28–0.31]; P < 0.001). During the 18-year period, hospital lengths of stay decreased, hospitalization costs increased and use of durable left ventricular assist device /cardiac transplantation remained stable (P > 0.05). Conclusions: In the United States, incidence of CS in STEMI has increased 2.5-fold between 2000 and 2017, while in-hospital mortality has decreased during the study period. Use of coronary angiography and PCI increased during the study period.

Acute myocardial infarction with cardiogenic shock (AMI-CS) is associated with high mortality and morbidity despite advancements in cardiovascular care. AMI-CS is associated with multiorgan failure of non-cardiac organ systems. Acute kidney injury (AKI) is frequently seen in patients with AMI-CS and is associated with worse mortality and outcomes compared to those without. The pathogenesis of AMI-CS associated with AKI may involve more factors than previously understood. Early use of renal replacement therapies, management of comorbid conditions and judicious fluid administration may help improve outcomes. In this review, we seek to address the etiology, pathophysiology, management, and outcomes of AKI complicating AMI-CS.