血压正常者产后脑自调节曲线聚合、重度子痫前期、重度子痫前期叠加。

IF 2.7 4区 医学 Q3 BIOPHYSICS
Helen Woolcock, Maria Katsidoniotaki, Leonidas Taliadouros Meng, Noora Haghighi, Anne-Sophie van Wingerden, Aymen Alian, Whitney A Booker, Natalie A Bello, Randolph S Marshall, Ioannis A Kougioumtzoglou, Nils H Petersen, Eliza C Miller
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引用次数: 0

摘要

目的:脑自动调节功能受损可能增加子痫前期患者产后卒中的风险。我们对无高血压、子痫前期和慢性高血压合并子痫前期患者的产后静态自我调节曲线进行建模。方法:这是一项对产后参与者前瞻性观察研究数据的回顾性分析。我们在分娩后2周内用手指体积描记仪测量连续平均动脉压(MAP)和经颅多普勒测量脑血流速度(CBv)。利用三阶多项式方程对MAP和CBv数据进行归一化处理,生成分组曲线。我们比较了两组之间的总体多项式曲线形状以及自动调节范围的成对比较。主要结果共有73名参与者入组:21名(29%)血压正常,31名(42%)患有先兆子痫,21名(29%)患有叠加性先兆子痫。多项式s曲线显示,与子痫前期两组相比,正常血压组的平台更平坦,但差异无统计学意义。两个子痫前期组的自我调节范围都比正常血压组宽,正常血压组的MAP范围为27.5 mmHg,子痫前期组为43.2 mmHg,叠加子痫前期组为31.5 mmHg。但只有子痫前期和血压正常组之间的差异有统计学意义(p=0.02)。 significance ;三阶多项式生成的静态自调节曲线在血压正常、子痫前期和叠加子痫前期的产后参与者中表现出明显的特征,表明子痫前期的大脑自调节范围更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Aggregated postpartum cerebral autoregulatory curves in normotensive individuals, preeclampsia with severe features, and superimposed preeclampsia with severe features.

Aggregated postpartum cerebral autoregulatory curves in normotensive individuals, preeclampsia with severe features, and superimposed preeclampsia with severe features.

Aggregated postpartum cerebral autoregulatory curves in normotensive individuals, preeclampsia with severe features, and superimposed preeclampsia with severe features.

Aggregated postpartum cerebral autoregulatory curves in normotensive individuals, preeclampsia with severe features, and superimposed preeclampsia with severe features.

Objectives. Impaired cerebral autoregulation could contribute to postpartum stroke risk in individuals with preeclampsia. We modeled aggregated static autoregulatory curves in the postpartum period in individuals with no hypertension, preeclampsia, and chronic hypertension with superimposed preeclampsia.Approach. This is a retrospective analysis of data from a prospective observational study of postpartum participants. We measured continuous mean arterial pressure (MAP) with finger plethysmography and cerebral blood velocity (CBv) with transcranial Doppler within 2 weeks after delivery. Data were aggregated and group curves generated from normalized MAP and CBv data using 3rd order polynomial equations. We compared overall polynomial curve shapes between groups as well as pair-wise comparisons of autoregulatory range.Main results. A total of 73 participants were enrolled: 21 (29%) normotensive, 31 (42%) with preeclampsia and 21 (29%) with superimposed preeclampsia. PolynomialS-curves suggested a flatter plateau in the normotensive group compared with both preeclampsia groups, but the differences were not statistically significant. Autoregulatory range were wider in both preeclampsia groups than in the normotensive group, with a MAP range of 27.5 mmHg in the normotensive group, 43.2 mmHg in the preeclampsia group, and 31.5 mmHg in the superimposed preeclampsia group, but only the difference between the preeclampsia and normotensive groups reached statistical significance (p= 0.02).Significance. Static autoregulation curves generated using third-order polynomials showed distinct characteristics in postpartum participants with normotension, preeclampsia, and superimposed preeclampsia, and suggested a wider cerebral autoregulatory range in those with preeclampsia.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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