机械失调和输液异质性预测了LBBB和没有LBBB的患者的不良LV重塑
medRxiv : the preprint server for health sciences
|February 6, 2026
概括
机械失调和 perfusion 异质性预测不利的左心室重塑,无论左束分支块 (LBBB). 综合成像改善心肌病风险分层.
科学领域:
- 心脏病学 心脏病学
- 心血管成像 - 心血管成像
- 核心脏病学 核心脏病学
背景情况:
- 左捆支部阻塞 (LBBB) 与机械失调,异质 perfusion 和左心室 (LV) 逆转型有关.
- 然而,并非所有LBBB患者都会患上心肌病,并且在没有导电缺陷的情况下可以存在异步.
- 微血管功能障碍在LBBB相关重塑中的作用尚未完全理解.
研究的目的:
- 评估机械失调和 perfusion 异质性与 LV 改造和功能之间的关系.
- 为了比较LBBB和没有LBBB的患者中的这些关系.
- 评估LBBB和非LBBB群体中综合成像参数的预后价值.
主要方法:
- 对233名患有孤立LBBB的患者和932名匹配的对照进行了回顾性分析.
- 用PET心肌 perfusion成像来评估机械失调 (相),心肌血流量 (MBF),冠状动脉血管阻力 (CVR),心肌流量储备 (MFR) 和 septal-to-lateral MBF比率 (SLR) 的 perfusion异质性.
- 测量了LV体积和射出分数 (EF);进行了多变量回归和Cox比例危险分析.
主要成果:
- 与对照组相比,患有LBBB的患者表现出更大的异步,更大的LV体积和更低的EF.
- LBBB患者也表现出微血管功能受损的迹象,包括较高的压力CVR,较低的压力MBF,减少的MFR和较低的SLR.
- 阶段和SLR独立地预测了LV体积和EF,SLR减少效应在LBBB中得到放大. 阶段,MFR和LVEF与死亡率和心力衰竭住院相关.
结论:
- 机械失调和 perfusion 异质性是不利的 LV 改造的独立预测因素,不论是 LBBB.
- 综合成像,评估机械和 perfusion 参数,增强心肌病风险的分层.
- 这些发现表明,针对异步和 perfusion 异常可能对于管理不同患者群体的 LV 改造至关重要.
相关概念视频
02:54Nucleosome Remodeling
11.2K
Nucleosomes are the basic units of chromatin compaction. Each nucleosome consists of the DNA bound tightly around a histone core, which makes the DNA inaccessible to DNA binding proteins such as DNA polymerase and RNA polymerase. Hence, the fundamental problem is to ensure access to DNA when appropriate, despite the compact and protective chromatin structure.
Nucleosome remodeling complex
Eukaryotic cells have specialized enzymes called ATP-dependent nucleosome remodeling enzymes. These enzymes...
Nucleosome remodeling complex
Eukaryotic cells have specialized enzymes called ATP-dependent nucleosome remodeling enzymes. These enzymes...
11.2K
02:27Predicting Molecular Geometry
46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
01:40Bone Remodeling
40.5K
Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
40.5K
01:12Local Anesthetics: Adverse Effects
814
While local anesthetics are generally safe and well-tolerated, they can occasionally cause adverse effects that vary in severity. Local anesthetics can induce toxicity at two distinct levels. They can either produce local effects through direct contact with the neural elements or be absorbed into the bloodstream from the injection site, leading to systemic effects.
Once absorbed into the systemic circulation, local anesthetics can affect the organs that depend on the functioning of sodium...
Once absorbed into the systemic circulation, local anesthetics can affect the organs that depend on the functioning of sodium...
814
03:06Reaction Mechanisms
30.9K
Chemical reactions often occur in a stepwise fashion, involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs.
For instance, the decomposition of ozone appears to follow a mechanism with two steps:
For instance, the decomposition of ozone appears to follow a mechanism with two steps:
30.9K
01:03Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K