Transthoracic echocardiography of left ventricular underfilling improves risk stratification in pulmonary arterial hypertension

Pulmonary arterial hypertension (PAH) is characterized by right ventricular (RV) adaptation to elevated afterload. However, the prognostic value of left ventricular (LV) underfilling in response to RV volume overload is unknown. We aimed to investigate the prognostic value of LV underfilling in PAH. Does Trans-thoracic echocardiography (TTE) assessed LV underfilling enhance prognostic accuracy in PAH beyond existing models such as REVEAL-Lite 2.0 and REVEAL-ECHO? 270 patients with PAH were prospectively enrolled. LV underfilling was defined as the LV volume-to-mass (V/M) ratio of < 0.8 ml/g. TTE and hemodynamic parameters were compared between patients with and without LV underfilling. The Cox regression model identified LV parameters significantly predictive of survival. The current LV model was developed incorporating LV parameters and was compared with established models, including REVEAL-Lite 2.0 and REVEAL-ECHO. Cox-regression and model performance metrics, including the C-index, Akaike Information Criterion (AIC), Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI), were used to assess the model's prognostic accuracy. Patients with LV underfilling exhibited more advanced disease, with higher hemodynamic indices and impaired RV function (all p < .0001). Over a median 29.8 months follow-up, LV underfilling was associated with worse survival (Log-rank p < .0001). LV underfilling (HR: 5.32, 95% CI; 3.05-9.28, p = < .0001), RV/LV-basal diameter (HR: 1.96, 95% CI; 1.066-3.624, p = 0.03), LV end-diastolic diameter (HR: 1.071, 95% CI: 1.030-1.114, p = 0.0005) served as independent predictors of adverse outcomes. The current LV model integrating LV parameters demonstrated superior discrimination (Mean C-index: 0.716 ± 0.06) vs REVEAL-Lite 2.0 (Mean C-index: 0.585 ± 0.07) and REVEAL-ECHO (Mean C-index: 0.717 ± 0.11). The model also demonstrated superior reclassification and discrimination performance compared to traditional models (NRI: 0.225, IDI: 2.28). TTE-assessed LV underfilling is a novel, valuable prognostic marker in PAH. The Current LV model, in addition to REVEAL-ECHO, offers enhanced prognostic capabilities for PAH management and may serve as a key tool in optimizing PAH patient care.

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Journal
Scientific Reports
Published
2025-12-04
DOI
https://doi.org/10.1038/s41598-025-28206-z
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Transthoracic echocardiography of left ventricular underfilling improves risk stratification in pulmonary arterial hypertension

Ekhlas Mahmoud Al‐Hashedi, Qian Ren, Xiaoyu Wang, Lingling Li et al.
Scientific Reports
Pulmonary Hypertension Research and Treatments
article

Transthoracic echocardiography of left ventricular underfilling improves risk stratification in pulmonary arterial hypertension

Ekhlas Mahmoud Al‐Hashedi, Qian Ren, Xiaoyu Wang, Lingling Li, Songlin Zhang, Yajuan Du, Fenling Fan, Ashfaq Ahmad, Ting Liu
article en

Abstract

Pulmonary arterial hypertension (PAH) is characterized by right ventricular (RV) adaptation to elevated afterload. However, the prognostic value of left ventricular (LV) underfilling in response to RV volume overload is unknown. We aimed to investigate the prognostic value of LV underfilling in PAH. Does Trans-thoracic echocardiography (TTE) assessed LV underfilling enhance prognostic accuracy in PAH beyond existing models such as REVEAL-Lite 2.0 and REVEAL-ECHO? 270 patients with PAH were prospectively enrolled. LV underfilling was defined as the LV volume-to-mass (V/M) ratio of < 0.8 ml/g. TTE and hemodynamic parameters were compared between patients with and without LV underfilling. The Cox regression model identified LV parameters significantly predictive of survival. The current LV model was developed incorporating LV parameters and was compared with established models, including REVEAL-Lite 2.0 and REVEAL-ECHO. Cox-regression and model performance metrics, including the C-index, Akaike Information Criterion (AIC), Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI), were used to assess the model's prognostic accuracy. Patients with LV underfilling exhibited more advanced disease, with higher hemodynamic indices and impaired RV function (all p < .0001). Over a median 29.8 months follow-up, LV underfilling was associated with worse survival (Log-rank p < .0001). LV underfilling (HR: 5.32, 95% CI; 3.05-9.28, p = < .0001), RV/LV-basal diameter (HR: 1.96, 95% CI; 1.066-3.624, p = 0.03), LV end-diastolic diameter (HR: 1.071, 95% CI: 1.030-1.114, p = 0.0005) served as independent predictors of adverse outcomes. The current LV model integrating LV parameters demonstrated superior discrimination (Mean C-index: 0.716 ± 0.06) vs REVEAL-Lite 2.0 (Mean C-index: 0.585 ± 0.07) and REVEAL-ECHO (Mean C-index: 0.717 ± 0.11). The model also demonstrated superior reclassification and discrimination performance compared to traditional models (NRI: 0.225, IDI: 2.28). TTE-assessed LV underfilling is a novel, valuable prognostic marker in PAH. The Current LV model, in addition to REVEAL-ECHO, offers enhanced prognostic capabilities for PAH management and may serve as a key tool in optimizing PAH patient care.

Scientific ReportsVol. 15(1)
Beijing University of Chinese Medicine (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Xi’an Jiaotong University
Openalex Percentile: Top 43%
Pulmonary Hypertension Research and Treatments
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