Eghtesady, Pirooz

Clinicians caring for neonates with congenital heart disease encounter challenges in clinical care as these infants await surgery or are evaluated for further potential interventions. The newborn with heart disease can present with significant pathophysiologic heterogeneity and therefore requires a personalized therapeutic management plan. However, this complex field of neonatal–cardiac hemodynamics can be simplified. We explore some of these clinical quandaries and include specific sections reviewing the anatomic challenges in these patients. We propose this to serve as a primer focusing on the hemodynamics and therapeutic strategies for the preoperative neonate with systolic dysfunction, diastolic dysfunction, excessive pulmonary blood flow, obstructed pulmonary blood flow, obstructed systemic blood flow, transposition physiology, and single ventricle physiology.

OBJECTIVES To characterize patterns of surgery among pediatric patients during terminal hospitalizations in children’s hospitals. METHODS We reviewed patients ≤20 years of age who died among 4 424 886 hospitalizations from January 2013–December 2019 within 49 US children’s hospitals in the Pediatric Health Information System database. Surgical procedures, identified by International Classification of Diseases procedure codes, were classified by type and purpose. Descriptive statistics characterized procedures, and hypothesis testing determined if undergoing surgery varied by patient age, race and ethnicity, or the presence of chronic complex conditions (CCCs). RESULTS Among 33 693 terminal hospitalizations, the majority (n = 30 440, 90.3%) of children were admitted for nontraumatic causes. Of these children, 15 142 (49.7%) underwent surgery during the hospitalization, with the percentage declining over time (P < .001). When surgical procedures were classified according to likely purpose, the most common were to insert or address hardware or catheters (31%), explore or aid in diagnosis (14%), attempt to rescue patient from mortality (13%), or obtain a biopsy (13%). Specific CCC types were associated with undergoing surgery. Surgery during terminal hospitalization was less likely among Hispanic children (47.8%; P < .001), increasingly less likely as patient age increased, and more so for Black, Asian American, and Hispanic patients compared with white patients (P < .001). CONCLUSIONS Nearly half of children undergo surgery during their terminal hospitalization, and accordingly, pediatric surgical care is an important aspect of end-of-life care in hospital settings. Differences observed across race and ethnicity categories of patients may reflect different preferences for and access to nonhospital-based palliative, hospice, and end-of-life care.

Objectives: STAT Mortality Categories (developed 2009) stratify congenital heart surgery procedures into groups of increasing mortality risk to characterize case mix of congenital heart surgery providers. This update of the STAT Mortality Score and Categories is empirically based for all procedures and reflects contemporary outcomes. Methods: Cardiovascular surgical operations in the Society of Thoracic Surgeons Congenital Heart Surgery Database (January 1, 2010 – June 30, 2017) were analyzed. In this STAT 2020 Update of the STAT Mortality Score and Categories, the risk associated with a specific combination of procedures was estimated under the assumption that risk is determined by the highest risk individual component procedure. Operations composed of multiple component procedures were eligible for unique STAT Scores when the statistically estimated mortality risk differed from that of the highest risk component procedure. Bayesian modeling accounted for small denominators. Risk estimates were rescaled to STAT 2020 Scores between 0.1 and 5.0. STAT 2020 Category assignment was designed to minimize within-category variation and maximize between-category variation. Results: Among 161,351 operations at 110 centers (19,090 distinct procedure combinations), 235 types of single or multiple component operations received unique STAT 2020 Scores. Assignment to Categories resulted in the following distribution: STAT 2020 Category 1 includes 59 procedure codes with model-based estimated mortality 0.2% to 1.3%; Category 2 includes 73 procedure codes with mortality estimates 1.4% to 2.9%; Category 3 includes 46 procedure codes with mortality estimates 3.0% to 6.8%; Category 4 includes 37 procedure codes with mortality estimates 6.9% to 13.0%; and Category 5 includes 17 procedure codes with mortality estimates 13.5% to 38.7%. The number of procedure codes with empirically derived Scores has grown by 58% (235 in STAT 2020 vs 148 in STAT 2009). Of the 148 procedure codes with empirically derived Scores in 2009, approximately one-half have changed STAT Category relative to 2009 metrics. The New STAT 2020 Scores and Categories demonstrated good discrimination for predicting mortality in an independent validation sample (July 1, 2017-June 30, 2019; sample size 46,933 operations at 108 centers) with C-statistic = 0.791 for STAT 2020 Score and 0.779 for STAT 2020 Category. Conclusions: The updated STAT metrics reflect contemporary practice and outcomes. New empirically based STAT 2020 Scores and Category designations are assigned to a larger set of procedure codes, while accounting for risk associated with multiple component operations. Updating STAT metrics based on contemporary outcomes facilitates accurate assessment of case mix.