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Objective: The Aristotle Basic Complexity score and the Risk Adjustment in Congenital Heart Surgery system were developed by consensus to compare outcomes of congenital cardiac surgery. We compared the predictive value of the 2 systems.
Methods: Of all index congenital cardiac operations at our institution from 1982 to 2004 (n = 13,675), we were able to assign an Aristotle Basic Complexity score, a Risk Adjustment in Congenital Heart Surgery score, and both scores to 13,138 (96%), 11,533 (84%), and 11,438 (84%) operations, respectively. Models of in-hospital mortality and length of stay were generated for Aristotle Basic Complexity and Risk Adjustment in Congenital Heart Surgery using an identical data set in which both Aristotle Basic Complexity and Risk Adjustment in Congenital Heart Surgery scores were assigned. The likelihood ratio test for nested models and paired concordance statistics were used.
Results: After adjustment for year of operation, the odds ratios for Aristotle Basic Complexity score 3 versus 6, 9 versus 6, 12 versus 6, and 15 versus 6 were 0.29, 2.22, 7.62, and 26.54 (P < .0001). Similarly, odds ratios for Risk Adjustment in Congenital Heart Surgery categories 1 versus 2, 3 versus 2, 4 versus 2, and 5/6 versus 2 were 0.23, 1.98, 5.80, and 20.71 (P < .0001). Risk Adjustment in Congenital Heart Surgery added significant predictive value over Aristotle Basic Complexity (likelihood ratio chi2 = 162, P < .0001), whereas Aristotle Basic Complexity contributed much less predictive value over Risk Adjustment in Congenital Heart Surgery (likelihood ratio chi2 = 13.4, P = .009). Neither system fully adjusted for the child's age. The Risk Adjustment in Congenital Heart Surgery scores were more concordant with length of stay compared with Aristotle Basic Complexity scores (P < .0001).
Conclusions: The predictive value of Risk Adjustment in Congenital Heart Surgery is higher than that of Aristotle Basic Complexity. The use of Aristotle Basic Complexity or Risk Adjustment in Congenital Heart Surgery as risk stratification and trending tools to monitor outcomes over time and to guide risk-adjusted comparisons may be valuable.
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http://dx.doi.org/10.1016/j.jtcvs.2006.05.071 | DOI Listing |
Pediatr Cardiol
September 2025
Division of Cardiology, Children's National Hospital, 111 Michigan Ave, Washington, DC, 20010, USA.
Patients with acquired and congenital heart disease (CHD) are at higher risk of hospitalization. Despite quality improvement (QI) initiatives, many patients experience readmission soon after discharge. We aimed to identify risk factors for 30-day readmission and hypothesized that direct discharge from the cardiac intensive care unit (CICU) is associated with an increased readmission rate.
View Article and Find Full Text PDFJ Pediatr Surg
September 2025
University of Utah, Department of Surgery, Division of Pediatric Surgery. Electronic address:
Background: Routine preoperative echocardiograms (ECHOs) are frequently obtained in patients undergoing minimally invasive repair of pectus excavatum (MIRPE), but the benefit and necessity of preoperative screening remain debated. In this study, we sought to quantify the proportion of preoperative ECHOs that had clinically significant findings.
Methods: We conducted a retrospective review of 255 patients who underwent MIRPE at a single pediatric referral center from 2018 to 2023.
Am J Obstet Gynecol
September 2025
Departments of Internal Medicine-Rheumatology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States. Electronic address:
Pregnancies in patients with systemic lupus erythematosus (SLE) and those positive for anti-SSA/SSB or antiphospholipid antibodies carry a heightened risk of adverse pregnancy outcomes (APOs), including preeclampsia, preterm birth, and congenital heart block. Among available therapies, hydroxychloroquine (HCQ) plays a pivotal role due to its immunomodulatory and antithrombotic properties, which may help improve pregnancy outcomes. Emerging evidence supports HCQ's role in reducing SLE flares, as well as lowering the recurrence risk of congenital heart block in anti-SSA/SSB-positive pregnancies.
View Article and Find Full Text PDFComput Biol Med
September 2025
Electrical and Computer System Engineering, Monash University, Clayton, Melbourne, 3800, VIC, Australia.
Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standard diagnostic method, is costly and inaccessible in low-resource settings. Diagnosis is delayed due to limited skilled experts, whose ability to interpret pathological patterns varies significantly, causing inter- and intra-clinician variability.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Medicine, The Red Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Background: In order to seriously impact the global burden of heart failure (HF) and coronary artery disease (CAD), identifying at-risk individuals as early as possible is vital. Risk calculator tools in wide clinical use today are informed by traditional statistical methods that have historically yielded only modest prediction accuracy.
Methods: This study uses machine learning algorithms to generate predictions models for the development and progression of severe HF and CAD.