术中短期血压变化与术后急性肾损伤:一项使用样本熵分析的单中心回顾性队列研究。

IF 2.3 3区 医学 Q2 ANESTHESIOLOGY
Ryan Folks, Siny Tsang, Donald E Brown, Zachary D Blanks, Nazanin Moradinasab, Michael Mazzeffi, Bhiken I Naik
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引用次数: 0

摘要

背景:研究用样本熵测量术中血压的短期变异性是否能提高对非心脏手术后急性肾损伤的判别能力:目的:研究通过样本熵测量的术中血压极短期变异性是否能提高对非心脏手术后急性肾损伤的辨别能力:纳入2016年8月至2017年6月期间在首尔大学医院接受普外科、胸外科、泌尿外科或妇科手术的成人外科患者。主要结果为急性肾损伤 1 期,由肾脏疾病:改善全球结果指南》所定义的急性肾损伤 1 期。探索性变量和解释性变量包括平均动脉压的样本熵和标准人口统计学指数、手术指数、麻醉指数以及已知与急性肾损伤相关的低血压时间指数。随机森林分类和L1逻辑回归用于评估鉴别急性肾损伤的四个模型:(1)标准风险因素,包括人口统计学、麻醉和手术变量;(2)标准风险因素和随着时间推移的累积性低血压;(3)标准风险因素和样本熵;(4)标准风险因素、随着时间推移的累积性低血压和样本熵:213 例(7.4%)患者出现术后急性肾损伤。平均动脉压样本熵的中位数和四分位数范围分别为 0.34 和 [0.26, 0.42]。随机森林和 L1 逻辑回归模型的 C 统计量相同。结果表明,加入平均动脉压样本熵后,对术后急性肾损伤的判别并无改善:标准风险因素为 0.81 [0.76, 0.42]:标准风险因素:0.81 [0.76, 0.85],标准风险因素和低血压随时间变化指数:0.80 [0.75, 0.85]:0.80 [0.75, 0.85],标准风险因素和平均动脉压样本熵:0.81 [0.76, 0.85],标准风险因素、平均动脉压样本熵和低血压随时间变化指数:0.81 [0.76, 0.85]:结论:结论:在该样本中,评估极短期血压变异性并不能提高对非心脏手术患者术后急性肾损伤的辨别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intraoperative short-term blood pressure variability and postoperative acute kidney injury: a single-center retrospective cohort study using sample entropy analysis.

Background: To investigate if intraoperative very short-term variability in blood pressure measured by sample entropy improves discrimination of postoperative acute kidney injury after noncardiac surgery.

Methods: Adult surgical patients undergoing general, thoracic, urological, or gynecological surgery between August 2016 to June 2017 at Seoul National University Hospital were included. The primary outcome was acute kidney injury stage 1, defined by the Kidney Disease: Improving Global Outcomes guidelines. Exploratory and explanatory variables included sample entropy of the mean arterial pressure and standard demographic, surgical, anesthesia and hypotension over time indices known to be associated with acute kidney injury respectively. Random forest classification and L1 logistic regression were used to assess four models for discriminating acute kidney injury: (1) Standard risk factors which included demographic, anesthetic, and surgical variables (2) Standard risk factors and cumulative hypotension over time (3) Standard risk factors and sample entropy (4) Standard risk factors, cumulative hypotension over time and sample entropy.

Results: Two hundred and thirteen (7.4%) cases developed postoperative acute kidney injury. The median and interquartile range for sample entropy of mean arterial pressure was 0.34 and [0.26, 0.42] respectively. C-statistics were identical between the random forest and L1 logistic regression models. Results demonstrated no improvement in discrimination of postoperative acute kidney injury with the addition of the sample entropy of mean arterial pressure: Standard risk factors: 0.81 [0.76, 0.85], Standard risk factors and hypotension over time indices: 0.80 [0.75, 0.85], Standard risk factors and sample entropy of mean arterial pressure: 0.81 [0.76, 0.85] and Standard risk factors, sample entropy of mean arterial pressure and hypotension over time indices: 0.81 [0.76, 0.86].

Conclusion: Assessment of very short-term blood pressure variability does not improve the discrimination of postoperative acute kidney injury in patients undergoing non-cardiac surgery in this sample.

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来源期刊
BMC Anesthesiology
BMC Anesthesiology ANESTHESIOLOGY-
CiteScore
3.50
自引率
4.50%
发文量
349
审稿时长
>12 weeks
期刊介绍: BMC Anesthesiology is an open access, peer-reviewed journal that considers articles on all aspects of anesthesiology, critical care, perioperative care and pain management, including clinical and experimental research into anesthetic mechanisms, administration and efficacy, technology and monitoring, and associated economic issues.
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