预测毛细血管前肺动脉高压死亡率的新增量模型

Arquivos brasileiros de cardiologia Pub Date : 2024-08-12 eCollection Date: 2024-01-01 DOI:10.36660/abc.20230669
Andressa Alves de Carvalho, Wanessa Alves de Carvalho, Eliauria Rosa Martins, Agostinho Hermes de Medeiros Neto, Fernando Bacal, Marcelo Dantas Tavares de Melo
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引用次数: 0

摘要

背景:在肺动脉高压(PH)患者中,需要确定与右心室(RV)功能障碍和存活率相关的易于获得的预后标志物:评估红细胞分布宽度(RDW)与毛细血管前PH患者的临床、超声心动图参数和生存的关系,并建立死亡率预测模型:2019年5月至2022年12月进行的观察性、纵向和前瞻性研究。34 名毛细血管前 PH 患者接受了二维超声心动图检查和全血细胞计数。以14.5%为分界点,将RDW定义为改变(≥14.5%)或正常(结果:RDW中位数为14.5%:中位 RDW 为 14.4%。外周动脉血氧饱和度(SpO2)(P=0.028)、RV 应变(P=0.047)和心包积液(P=0.002)在 RDW 正常组和 RDW 升高组之间存在明显差异。在中位 15 个月的随访期间,20.6% 的患者死亡。RDW 增高的患者总生存期较短(44.7%,log-rank p=0.019),这也是单变量 Cox 回归的死亡率预测因素(HR 8.55,p=0.048)。增加 RV 应变RDW 通过与 RV 功能障碍和死亡率的超声心动图参数相关联,提供了毛细血管前 PH 严重程度的信息,包括 RDW、RV 应变和 SpO2 在内的模型能最好地预测死亡率。
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New Incremental Model for Predicting Mortality in Pre-Capillary Pulmonary Hypertension.

Background: In pulmonary hypertension (PH), the identification of easily obtainable prognostic markers associated with right ventricular (RV) dysfunction and survival is needed.

Objective: To evaluate the association of red cell distribution width (RDW) with clinical, echocardiographic parameters and survival in patients with pre-capillary PH, with the development of a mortality prediction model.

Methods: Observational, longitudinal, and prospective study conducted from May 2019 to December 2022. Thirty-four patients with pre-capillary PH underwent two-dimensional echocardiography and complete blood count. A cutoff point of 14.5% was considered to define RDW as altered (≥14.5%) or normal (<14.5%). P values <0.05 were considered significant.

Results: The median RDW was 14.4%. There was a significant difference in peripheral arterial oxygen saturation (SpO2) (p=0.028), RV strain (p=0.047), and pericardial effusion (p=0.002) between the normal and elevated RDW groups. During a median follow-up of 15 months, 20.6% died. Patients with increased RDW had a shorter overall survival (44.7%, log-rank p=0.019), which was a predictor of mortality in univariate Cox regression (HR 8.55, p=0.048). The addition of RV strain <16% and SpO2 ≤93% to the model including RDW alone showed incremental value in predicting mortality (χ2=8.2, p=0.049; χ2=12.4, p=0.041), with increased area under the receiver operating characteristic curve (0.729 vs. 0.837 vs. 0.909) and decreased probability of survival (44.7% vs. 35.6% vs. 25%, log-rank p=0.019).

Conclusions: RDW provides information on the severity of pre-capillary PH by correlating with echocardiographic parameters of RV dysfunction and mortality, which is best predicted by a model including RDW, RV strain and SpO2.

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