Interobserver agreement of the anatomic and physiological classification system for adult congenital heart disease.

The Anatomic and Physiological (AP) classification system proposed in the 2018 American College of Cardiology/American Heart Association adult congenital heart disease (ACHD) guidelines assigns 2 dimensions to each patient: anatomic class (AnatC) and physiological stage (PhyS). This approach has not been tested in practice; we assessed interrater reliability and identified sources of disagreement. METHODS: Consensus definitions for AP categories were developed with input from 4 experts. Research assistants (RAs) assigned AnatC/PhyS for patients in the Boston ACHD Biobank, a prospectively enrolled cohort of ambulatory ACHD patients ≥18 years old seen between 2012 and 2019. Two (of 4) expert reviewers then independently assigned AnatC/PhyS for 41 patients. Interrater reliability was assessed with linearly weighted kappa (κω) for agreement between (1) experts and (2) an RA and an expert. Experts examined disagreements and identified sources of variability and areas requiring clarification. RESULTS: Interexpert agreement for AnatC was excellent, with agreement on 38/41 (92.7%) cases and κω 0.88 [0.75, 1.01]. Agreement for PhyS was less robust, with consensus on 24/41 cases (59.5%), κω 0.57 [0.39, 0.75]. Expert-RA agreement was lower for AnatC (κω 0.77 [0.60, 0.95]), whereas PhyS was similar to interexpert agreement (κω 0.53 [0.34, 0.72]). There was ambiguity in the definitions of (1) arrhythmia status, (2) cyanotic CHD, and (3) valve disease. CONCLUSIONS: Although AnatC can be assessed reliably, that is not true for the PhyS part of the AP classification proposed in the 2018 American College of Cardiology/American Heart Association guidelines. Reliability of PhyS would be strengthened by more precise definitions readily interpretable in clinical practice.

Serial cardiac biomarker assessment in adults with congenital heart disease hospitalized for decompensated heart failure☆.

Background: Biomarkers are increasingly part of assessing and managing heart failure (HF) in adults with congenital heart disease (CHD). Objectives: To understand the response of cardiac biomarkers with therapy for acute decompensated heart failure (ADHF) and the relationship to prognosis after discharge in adults with CHD. Design: A prospective, observational cohort study with serial blood biomarker measurements. Settings: Single-center study in the inpatient setting with outpatient follow-up. Participants: Adults (≥18 years old) with CHD admitted with ADHF between August 1, 2019, and March 1, 2020. Exposure: We measured body mass, Kansas City Cardiomyopathy Questionnaire (KCCQ-12) score, N-terminal pro-B-type natriuretic peptide (NT-proBNP), and high-sensitivity C-reactive protein (hsCRP) at enrollment, discharge, and 1st clinic follow-up visit; soluble suppression of tumorigenicity 2 (sST2) was measured at the first two time points. Measures: Univariate regression assessed the association between changes in weight, biomarkers, and changes in KCCQ-12 scores, between enrollment and discharge (Δ Hospitalization ) and between discharge and 1st clinical follow-up visit (Δ Post-discharge ). Wilcoxon rank-sum tests assessed the association between change in biomarkers, KCCQ-12 scores, and the composite outcome of cardiovascular death or rehospitalization for ADHF. Results: A total of 26 patients were enrolled. The median age was 51.9 years [IQR: 38.8, 61.2], 13 (54.2%) were women, and median hospital stay was 6.5 days [IQR: 4.0, 15.0] with an associated weight loss of 2.8 kg [IQR -5.1, -1.7]. All three cardiac biomarkers decreased during hospitalization with diuresis while KCCQ-12 scores improved; a greater decrease in sST2 was associated with an improved KCCQ-12 symptom frequency (SF) subdomain score (p = 0.012), but otherwise, there was no significant relationship between biomarkers and KCCQ-12 change. Change in hsCRP and NT-proBNP after discharge was not associated with the composite outcome (n = 8, vs. n = 16 who did not experience the outcome; Δ Post-discharge hsCRP +5.1 vs. -1.0 mg/l, p = 0.061; NT-proBNP +785.0 vs. +130.0 pg/ml, p = 0.220). Conclusions: Serial biomarker measurements respond to acute diuresis in adults with CHD hospitalized for ADHF. These results should motivate further research into the use of biomarkers to inform HF therapy in adults with CHD.

Associations Between Clinical Outcomes and a Recently Proposed Adult Congenital Heart Disease Anatomic and Physiological Classification System.

Background American Heart Association and American College of Cardiology consensus guidelines introduce an adult congenital heart disease anatomic and physiological (AP) classification system. We assessed the association between AP classification and clinical outcomes. Methods and Results Data were collected for 1000 outpatients with ACHD prospectively enrolled between 2012 and 2019. AP classification was assigned based on consensus definitions. Primary outcomes were (1) all-cause mortality and (2) a composite of all-cause mortality or nonelective cardiovascular hospitalization. Cox regression models were developed for AP classification, each component variable, and additional clinical models. Discrimination was assessed using the Harrell C statistic. Over a median follow-up of 2.5 years (1.4-3.9 years), the composite outcome occurred in 185 participants, including 49 deaths. Moderately or severely complex anatomic class (class II/III) and severe physiological stage (stage D) had increased risk of the composite outcome (AP class IID and IIID hazard ratio, 4.46 and 3.73, respectively, versus IIC). AP classification discriminated moderately between patients who did and did not suffer the composite outcome (C statistic, 0.69 [95% CI, 0.67-0.71]), similar to New York Heart Association functional class and NT-proBNP (N-terminal pro-B-type natriuretic peptide); it was more strongly associated with mortality (C statistic, 0.81 [95% CI, 0.78-0.84]), as were NT-proBNP and functional class. A model with AP class and NT-proBNP provided the strongest discrimination for the composite outcome (C statistic, 0.73 [95% CI, 0.71-0.75]) and mortality (C statistic, 0.85 [95% CI, 0.82-0.88]). Conclusions The addition of physiological stage modestly improves the discriminative ability of a purely anatomic classification, but simpler approaches offer equivalent prognostic information. The AP system may be improved by addition of key variables, such as circulating biomarkers, and by avoiding categorization of continuous variables.