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May 11, 20230 citationsOpen Access

Predicting high-risk pre-capillary pulmonary hypertension: An echocardiographic multiparameter scoring index

YZYanan ZhaiALAili LiXTXincao Tao

Key Result

An echocardiographic risk score using five parameters accurately predicted high-risk pre-capillary pulmonary hypertension with an AUC of 0.882.

Study Design

Type

Cohort (n=197)

Multicenter

No

Structured PICO

Does an echocardiographic multiparameter scoring index accurately predict high risk status in patients with pre-capillary pulmonary hypertension?

P
Population
197 consecutive patients with pre-capillary pulmonary hypertension (pcPH)
I
Intervention
Echocardiographic multiparameter scoring index (incorporating pericardial effusion, right atrial area, RV outflow tract proximal diameter, velocity time integral of the right ventricular outflow tract, and S')
O
Outcome
High risk of pre-capillary pulmonary hypertension (pcPH)

A novel 10-point echocardiographic risk score using five parameters accurately identifies patients at high risk of pre-capillary pulmonary hypertension.

Main Result

Effect estimate: AUC 0.882 (95% CI 0.809-0.956)

p-value: p=<0.0001

Limitations

  • Measurement of RV FAC has shown to be less reproducible

Abstract

Abstract Background The risk stratification of pulmonary arterial hypertension proposed by the European Society of Cardiology /European Respiratory Society guidelines in 2015 and 2022 included two to three echocardiographic indicators. However, the specific value of echocardiography in risk stratification of pre-capillary pulmonary hypertension (pcPH) has not been efficiently demonstrated. Given the complex geometry of the right ventricular (RV) and influencing factors of echocardiographic parameter, there is no single echocardiographic parameter that reliably informs about PH status. We hypothesize that a multi-parameter comprehensive index can more accurately evaluate the severity of the pcPH. The purpose of this study was to develop and validate an echocardiographic risk score model to better assist clinical identifying high risk of pcPH during initial diagnosis and follow-up. Methods We studied 197 consecutive patients with pcPH. A multivariable echocardiographic model was constructed to predict the high risk of pcPH in the training set. Points were assigned to significant risk factors in the final model based on β-coefficients. We validated the model internally using bootstrapping. Results The echocardiographic score was constructed by multivariable logistic regression, which showed that pericardial effusion, right atrial (RA) area, RV outflow tract proximal diameter (RVOT-Prox), the velocity time integral of the right ventricular outflow tract (TVI RVOT ) and S’ were predictors of high risk of pcPH. The area under curve (AUC) of the training set of the scoring model was 0.882 (95%CI: 0.809–0.956, p < 0.0001), and the AUC of the validation set was 0.884. A 10-point score risk score was generated, with scores ranging from 0 to 10 in the training cohort. The estimate risk of high risk of pcPH ranged from 25.1–94.6%. Conclusions The echocardiographic risk score using five echocardiographic parameters could be comprehensive and useful to predict the high risk of pcPH for initial assessment and follow-up.

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Cite This Study

Zhai et al. (2023) conducted a cohort in Pre-capillary pulmonary hypertension (pcPH) (n=197). Echocardiographic multiparameter scoring index was evaluated on Prediction of high-risk pre-capillary pulmonary hypertension (AUC 0.882, 95% CI 0.809-0.956, p=<0.0001). An echocardiographic risk score using five parameters accurately predicted high-risk pre-capillary pulmonary hypertension with an AUC of 0.882.

synapsesocial.com/papers/6a0c60315712c53037e89b03https://doi.org/10.21203/rs.3.rs-2894446/v1
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