Fatema, Kaniz

An ST-segment elevation myocardial infarction is a life-threatening condition within the spectrum of acute coronary syndrome, with well-recognized implications for short-term and long-term health outcomes. Retrospective review of our institutional electronic health records identified patterns of inaccurate acute coronary syndrome diagnostic assignment, including the presence of erroneous ST-segment elevation myocardial infarction diagnoses in discharge records. Such erroneous diagnoses in the durable health record may increase risk to patients through inadequate risk assessment and inappropriate follow-up care. Misapplication of a shortcut in our electronic health record system for rapidly ordering emergent cases was identified as a potential cause of the quality gap. To address this issue, a nurse-led quality improvement project was developed by using the define, measure, analyze, improve, and control framework. The project intervention decreased the percentage of patients with erroneous diagnoses from 24% to 7% and marginally improved nursing staff satisfaction. Our project successfully addressed an institutional quality concern. Our goal of reducing erroneous discharge diagnoses with minimal disruption to our existing practice was achieved, positively affecting our patients. Including both nurse leaders and frontline health care workers ensured the success of our project.

Abstract Background Concern for acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is a major determinant in the decision to pursue cardiac catheterization if otherwise indicated. A bedside AKI risk prediction model derived from the National Cardiovascular Data Registry (NCDR), most recently updated in 2023, employs relatively complex parameters for AKI prediction. Purpose To test the efficacy of a simplified pre-procedural 5-variable bedside score for post-PCI AKI prediction based on the NCDR model. Methods We analyzed our institution’s NCDR-reported catheterization laboratory registry between Q2 2022 and Q1 2023. Inclusion criteria, variable selection, and definitions were based on the NCDR model. A bedside prediction model was validated, including 5 pre-procedural variables: anemia (hemoglobin <10 mg/dl), history of heart failure, stage 4 or 5 chronic kidney disease (glomerular filtration rate <30 mg/dl), cardiac arrest, and shock status. Results We included 840 patients, of which 593 (70.6%) were men. Mean age was 69 (±12.5). Most procedures were performed on an urgent basis (444, 52.9%). AKI developed in 107 (12.7%) patients. Compared to the non-AKI group, patients who developed AKI were older (age 74±11.5 vs 68.3 ±12.5), and more frequently had anemia (23.6% vs 7.4%), diabetes (51.4% vs 35.2%), severe frailty (45.8% vs 23.7%), heart failure (62.6% vs 29.7%), cardiac arrest (13.1% vs 2.9%), CKD (30.8% vs 6%), shock (12.1% vs 1.5%), and mechanical circulatory support (7.5% vs 2.9%), p<0.001. Utilizing integer scores, the simplified bedside model employing 5 pre-procedural variables demonstrated discrimination similar to the bedside NCDR model, with a C-statistic of 0.77 (0.60-0.88) and excellent calibration (intercept of 0.31 and slope of 1.03) (Figure), indicating the robust performance of the model (compared to bedside NCDR model with a C-statistic 0.793, intercept of -0.197, and slope of 0.957). Conclusion A simplified NCDR-based bedside score using 5 pre-procedural variables is an effective tool for predicting AKI as a complication of PCI, with comparable performance to the 2023 updated bedside NCDR AKI risk model.

Background: Prophylactic exclusion of the left atrial appendage (LAA) is often performed during cardiac surgery ostensibly to reduce the risk of stroke. However, the clinical impact of LAA closure in humans remains inconclusive. Methods: Of 10 633 adults who underwent coronary artery bypass grafting and valve surgery between January 2000 and December 2005, 9792 patients with complete baseline characteristics, surgery procedure, and follow-up data were included in this analysis. A propensity score–matching analysis based on 28 pretreatment covariates was performed and 461 matching pairs were derived and analyzed to estimate the association of LAA closure with early postoperative atrial fibrillation (POAF) (atrial fibrillation ≤30 days of surgery), ischemic stroke, and mortality. Results: In the propensity-matched cohort, the overall incidence of POAF was 53.9%. In this group, the rate of early POAF among the patients who underwent LAA closure was 68.6% versus 31.9% for those who did not undergo the procedure ( P <0.001). LAA closure was independently associated with an increased risk of early POAF (adjusted odds ratio, 3.88; 95% confidence interval, 2.89–5.20), but did not significantly influence the risk of stroke (adjusted hazard ratio, 1.07; 95% confidence interval, 0.72–1.58) or mortality (adjusted hazard ratio, 0.92; 95% confidence interval, 0.75–1.13). Conclusions: After adjustment for treatment allocation bias, LAA closure during routine cardiac surgery was significantly associated with an increased risk of early POAF, but it did not influence the risk of stroke or mortality. It remains uncertain whether prophylactic exclusion of the LAA is warranted for stroke prevention during non–atrial fibrillation-related cardiac surgery.