Optimal depth for left atrial pressure monitoring in pediatric open-heart surgery

Author:

Zhang Shuiting1,Chen Xiaofeng1,Wu Zhongshi1,Li Hui1,Dai Ruping1,Zhang Yanling1

Affiliation:

1. Second Xiangya Hospital of Central South University

Abstract

Abstract Background Monitoring the left atrial pressure (LAP) is an important perioperative management tool for maintaining adequate cardiac output. This study aimed to devise a simple formula of left atrial catheterization to quantify the LAP in infants based on strongly correlated demographic and clinical characteristics. Methods 62 open-heart surgery infant patients, aged ≤ 1 year, who underwent right internal jugular vein (RIJV) catheterization to monitor the LAP, were enrolled in this study. Pearson correlation coefficient and multiple regression analysis were used to determine the association between the optimal depth and characteristics. A new simple formula was developed using regression analysis to predict the depth for the LAP measurement. Results The participants comprised 39 (62.9%) males and 23 (37.1%) females, of which 10 (16.1%) were preterm. The average age was 4.3 months; average weight, 5.4 kg; and average height, 60.0 cm. Age, height, and weight were strongly associated with the optimal depth, with height having the highest corrected determination coefficient (R2 = 0.832) and the most significant difference in multiple regression model (P < 0.001). Thus, we established a new height-based formula: depth (cm) = 5 + 0.1 × height (cm). The proportion of optimal depth determined by the new simplified formula was 88.7%. Conclusions Height was the most significant individual predictor of optimal depth in this study. The novel formula, depth = 5.0 + 0.1 × height (cm), is feasible and can be used to determine the optimal depth for monitoring the LAP via RIJV catheterization in pediatric open-heart surgery.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3