A prediction model of simple echocardiographic variables to screen for potentially correctable shunts in adult patients with pulmonary arterial hypertension associated with atrial septal defects: a cross-sectional study

A prediction model of echocardiographic variables to screen for potentially correctable shunts in adult atrial septal defect-pulmonary hypertension patients

BACKGROUND

Atrial septal defect (ASD) is a prevalent congenital heart condition in adults that leads to pulmonary hypertension (PAH) and right heart failure if left untreated. During a routine follow-up of adult ASD-PAH patients, the suitability of shunt closure depends on the invasive right heart catheterization (RHC). Nevertheless, performing RHC at every follow-up is impractical and may be harmful. The present retrospective cross-sectional study was designed to investigate which echocardiographic variables were associated with pulmonary vascular resistance (PVR) in adult ASD-PAH patients and propose a model using these variables to screen for patients with a correctable shunt.

METHODS

A total of 530 adult ASD-PAH patients with pulmonary arterial systolic pressure (PASP) of ≥60 mmHg measured using transthoracic echocardiogram (TTE) were included in the study. All RHCs were performed within 3 months after TTE. The correctable shunt was defined as PVR ≤3 Wood units (WU). Multivariable regressions were performed utilizing echocardiographic variables. A scoring system was constructed based on the predictors of PVR ≤3 WU using multivariable logistic regression analysis. The scoring system was then examined using a receiver operating characteristic (ROC) analysis. In addition, clinical utility of the model was determined based on decision curve analysis, and a calibration curve was used to evaluate model conformity.

RESULTS

Estimated PASP, velocity through the pulmonary valve, tricuspid annulus early diastolic velocity, and maximum defect dimension were identified as independent predictors. The area under the ROC curve of the predictive value in the model was 0.905 (95% CI, 0.878-0.931, sensitivity: 84.3%, specificity: 83.6%). The net benefit of the model was notable in terms of a wide-range probability threshold in decision curve analysis, indicating that the prediction model had good clinical applicability. The model's calibration curve was close to an ideal diagonal line, showing good predictive accuracy between the actual and predictive probabilities.

CONCLUSION

The study provided a valuable model in predicting adult ASD-PAH patients with a correctable shunt, which may help clinicians to make appropriate treatment decision for follow-up patients.

Right Ventricle-Pulmonary Artery Coupling in Patients Undergoing Cardiac Interventions

PURPOSE OF REVIEW

This review aims to summarize the fundamentals of RV-PA coupling, its non-invasive means of measurement, and contemporary understanding of RV-PA coupling in cardiac surgery, cardiac interventions, and congenital heart disease.

RECENT FINDINGS

The need for more accessible clinical means of evaluation of RV-PA coupling has driven researchers to investigate surrogates using cardiac MRI, echocardiography, and right-sided pressure measurements in patients undergoing cardiac surgery/interventions, as well as patients with congenital heart disease. Recent research has aimed to validate these alternative means against the gold standard, as well as establish cut-off values predictive of morbidity and/or mortality. This emerging evidence lays the groundwork for identifying appropriate RV-PA coupling surrogates and integrating them into perioperative clinical practice.

Model for screening adult congenital heart disease surgery eligibility with echocardiography parameters

OBJECTIVES

This study aimed to screen for the eligibility of correction in cases of adult congenital heart disease (CHD). Pulmonary to systemic flow ratios (Qp/Qs) > 1.5 and pulmonary to systemic vascular resistance ratios (Rp/Rs) < 1/3, acquired by right heart catheterization (RHC), are two essential parameters. Nonetheless, performing RHC at every follow-up is impractical and even harmful. Thus, it is important to establish a model to predict Qp/Qs and Rp/Rs status before a RHC confirmation, using echocardiography parameters.

METHODS

A total of 1,785 patients with adult CHD were enrolled and randomly assigned to the derivation or validation groups. Echocardiogram parameters of the 974 patients in the derivation group were considered candidate predictors for surgery eligibility (Qp/Qs > 1.5 and Rp/Rs < 1/3). Binary logistic regression analyses were performed to identify the independent predictors and establish a scoring system. The scoring system was further examined in the validation group using a receiver operating characteristic (ROC) analysis.

RESULTS

Estimated pulmonary artery systolic pressure, velocity through the pulmonary valve, and diameters of the left and right atria were identified as independent predictors. The area under the ROC curve of the predictive value in the validation group and its pre- and post-tricuspid valve malformation subgroups were 0.87 (95% confidence interval [CI]: 0.84-0.90, p < 0.01), 0.86 (95% CI: 0.82-0.91, p < 0.01), and 0.85 (95% CI: 0.79-0.90, p < 0.01), respectively.

CONCLUSIONS

This scoring system could augment flexibility and convenience for pre-screening CHD patients' eligibility for surgery, before RHC.