右心室收缩压和ARISCAT评分在围手术期肺风险评估中的作用。

IF 1.7 4区 医学 Q2 ANESTHESIOLOGY
Yoshio Tatsuoka , Zili He , Hung-Mo Lin , Andrew P. Notarianni , Zyad J. Carr
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引用次数: 0

摘要

背景:术后肺部并发症(PPC)是外科手术后发病率和死亡率增加的重要原因。加强30天PPC风险分层的措施是一个重要的临床兴趣领域,整合常见的术前调查,如超声心动图,当与临床评分系统结合时,可以增强定量风险预测,特别是对高危人群。作者假设右心室收缩压(RVSP)可以显著提高加泰罗尼亚手术患者呼吸风险评估(ARISCAT)评分在预测肺动脉高压(PH)研究队列中30天PPC的预测能力。方法:对277例手术后12个月内的PH、ARISCAT评分和超声心动图衍生的RVSP进行分析。主要终点是59个变量的30天医疗保健研究和质量机构PPC综合数据。次要终点包括肺炎(PNA)、呼吸衰竭(RF)、肺误吸(ASP)和血栓栓塞现象(PE)。采用调整后的多变量logistic回归模型,然后采用受试者工作特征曲线(ROC)和曲线下面积(AUC)分析来评估30天PPC的预测。结果:平均RVSP为52.1 mmHg(±17.4)。总体PPC发病率为29.9%,其中RF(19.5%)、PNA(12.3%)、ASP(5.4%)和PE(3.6%)复合。Logistic回归显示RVSP与PPC无显著相关性(比值比[OR = 1.01],p = 0.307)。ARISCAT评分与30天PPC风险相关(OR = 1.02,p = 0.037)。受试者工作特征(ROC)曲线分析显示,RVSP单独治疗的曲线下面积(AUC)为0.555,ARISCAT评分为0.575,RVSP+ARISCAT联合治疗的主要终点为0.591。结论:RVSP作为ph患者30天PPC的独立预测指标的疗效有限。尽管RVSP与ARISCAT评分的结合在预测准确性方面取得了边际改善,但无论是单独还是联合使用,都没有获得足够的临床意义来进行可靠的风险分层。这些发现确定了目前术前ph特异性预测工具风险评估的一个关键空白。未来的研究应侧重于替代措施,以更好地了解高危人群中PPC对血流动力学复杂性的易感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment

Background

Postoperative Pulmonary Complications (PPC) are a significant source of increased morbidity and mortality after surgical procedures. Measures to enhance 30-day PPC risk stratification are an area of significant clinical interest, and integrating common preoperative investigations, such as echocardiography, may enhance quantitative risk prediction when combined with clinical score-based systems, particularly for high-risk populations. The authors hypothesized that Right Ventricular Systolic Pressure (RVSP) would significantly enhance the predictive capabilities of the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score in the prediction of 30-day PPC in a Pulmonary Hypertension (PH) study cohort.

Methods

277 patients with the diagnosis of PH, ARISCAT score, and echocardiography-derived RVSP within 12-months of surgical procedure were analyzed. The primary endpoint was the 59-variable 30-day Agency for Healthcare Research and Quality PPC composite. Secondary endpoints included sub composites of Pneumonia (PNA), Respiratory Failure (RF), Pulmonary Aspiration (ASP) and thromboembolic Phenomenon (PE). Adjusted multivariable logistic regression models followed by Receiver Operating Characteristic Curves (ROC) and Area Under the Curve (AUC) analysis were employed to assess the prediction of 30-day PPC.

Results

Mean RVSP was 52.1 mmHg (±17.4). Overall PPC incidence was 29.9%, with RF (19.5%), PNA (12.3%), ASP (5.4%), and PE (3.6%) composites. Logistic regression showed no significant association between RVSP and PPC (Odds Ratio [OR = 1.01], p = 0.307). The ARISCAT score was associated with 30-day PPC risk (OR = 1.02, p = 0.037). Receiver Operating Characteristic (ROC) curve analysis revealed an Area Under the Curve (AUC) of 0.555 for RVSP alone, 0.575 for the ARISCAT score, and 0.591 for the combination of RVSP+ARISCAT for the primary endpoint.

Conclusion

RVSP demonstrated limited efficacy as a standalone predictor of 30-day PPC in patients with PH. Although integrating RVSP with ARISCAT scoring yielded marginal improvements in predictive accuracy, neither metric, independently or in combination, achieved adequate clinical significance for reliable risk stratification. These findings highlight a critical gap in the current preoperative risk assessment for PH-specific predictive tools. Future research should focus on alternative measures that better capture vulnerability to the hemodynamic complexities underscoring PPC in this high-risk population.
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