ICU Admission Tool for Congenital Heart Catheterization (iCATCH): A Predictive Model for High Level Post-Catheterization Care and Patient Management

Quinn, B.; Shirley, Lauren; Yeh, Mary J.; Ibla, Juan C.; Kotin, Sarah G.; Porras, Diego; Bergersen, Lisa

doi:10.1097/pcc.0000000000003028

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…The validation data set provides a unique population to test this metric due to the inclusion of the COVID-19 pandemic era that imposed unique demands on hospital systems and resultant changes in case mix. [12][13][14][15] Baseline patient and procedural characteristics were summarized separately for derivation and validation cohorts. Categorical variables were summarized by frequencies and percentages while medians and interquartile ranges (25th and 75th percentiles) were reported for continuous variables.…”

Section: Discussionmentioning

confidence: 99%

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Catheterization for Congenital Heart Disease Adjustment for Risk Method II

Quinn,

Gunnelson,

Kotin

et al. 2024

Circ: Cardiovascular Interventions

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BACKGROUND: Current metrics used to adjust for case mix complexity in congenital cardiac catheterization are becoming outdated due to the introduction of novel procedures, innovative technologies, and expanding patient subgroups. This study aims to develop a risk adjustment methodology introducing a novel, clinically meaningful adverse event outcome and incorporating a modern understanding of risk. METHODS: Data from diagnostic only and interventional cases with defined case types were collected for patients ≤18 years of age and ≥2.5 kg at all Congenital Cardiac Catheterization Project on Outcomes participating centers. The derivation data set consisted of cases performed from 2014 to 2017, and the validation data set consisted of cases performed from 2019 to 2020. Severity level 3 adverse events were stratified into 3 tiers by clinical impact (3a/b/c); the study outcome was clinically meaningful adverse events, severity level ≥3b (3bc/4/5). RESULTS: The derivation data set contained 15 224 cases, and the validation data set included 9462 cases. Clinically meaningful adverse event rates were 4.5% and 4.2% in the derivation and validation cohorts, respectively. The final risk adjustment model included age <30 days, Procedural Risk in Congenital Cardiac Catheterization risk category, and hemodynamic vulnerability score (C statistic, 0.70; Hosmer-Lemeshow P value, 0.83; Brier score, 0.042). CONCLUSIONS: CHARM II (Congenital Heart Disease Adjustment for Risk Method II) risk adjustment methodology allows for equitable comparison of clinically meaningful adverse events among institutions and operators with varying patient populations and case mix complexity performing pediatric cardiac catheterization.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Catheterization for Congenital Heart Disease Adjustment for Risk Method II

Quinn,

Gunnelson,

Kotin

et al. 2024

Circ: Cardiovascular Interventions

View full text Add to dashboard Cite

show abstract

“…Cardiac data collected included single- or biventricle physiology at the time of cath and preprocedure cardiac status category 1 to 3 ( Supplemental Table 2 ). 15 , 16 …”

Section: Methodsmentioning

confidence: 99%