监测水平衡预测慢性心力衰竭患者住院:一项回顾性研究

Kenichi Hirose, Keita Otsuka, Shinichiro Shiozawa, Go Hirose, M. Shino, Takeo Hokari, Satoru Kohno, Kohzo Nakayama
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引用次数: 0

摘要

背景:慢性心力衰竭患者经常经历反复的急性加重,导致高比率的再次住院。因此,对患者进行管理以防止再次住院并保持其身体功能是很重要的。脑钠肽(BNP)和N-末端-pro BNP用于估计慢性心力衰竭患者的病情,但一些医院无法实时测量这些水平。为了克服这一点,我们使用了生物电阻抗分析作为替代方法。方法和结果:2017年4月至2019年12月,我们测量了三组广濑医院门诊部的水平衡:因慢性心力衰竭住院的患者(257名患者)、未住院的慢性心力衰竭患者(224名患者)和其他慢性病对照组(275名患者)。我们发现,水平衡与住院史显著相关,无论患者是否因慢性心力衰竭住院,年龄都是这种相关性中的一个混淆偏差。此外,细胞外含水量/全身含水量比率高的患者,即使在稳定期,也有变得不稳定和再次住院的风险。结论:水平衡监测可作为实时评估患者病情和预测慢性心力衰竭病情改善的有用指标。这种易于使用的指标可以及时管理患者病情恶化并减少住院事件。
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Monitoring Water Balance to Predict Hospitalization in Patients with Chronic Heart Failure: A Retrospective Study
Background: Patients with chronic heart failure often experience repeated acute exacerbations leading to high rates of rehospitalization. Therefore, the management of patients to prevent rehospitalization and retain their physical function is important. Brain natriuretic peptide (BNP) and N-terminal-pro BNP are used to estimate the conditions of patients with chronic heart failure, but some hospitals cannot measure these levels in real time. To overcome this, we used bioelectrical impedance analysis as an alternative. Methods and results: Between April 2017 and December 2019, we measured water balance in the outpatient department of Hirose Hospital in three groups: those who had been hospitalized for chronic heart failure (257 patients), those with chronic heart failure who had not been hospitalized (224 patients), and controls with other chronic diseases (275 patients). We found that water balance was significantly correlated to the history of hospitalization, and age was a confounding bias in this correlation, regardless of whether patients have been hospitalized with chronic heart failure. Moreover, patients who have high extracellular water content/total body water content ratios, even in a stable period, are at risk of becoming unstable and experiencing rehospitalization. Conclusion: Water balance monitoring could be a useful indicator to estimate patient condition in real time and predict improvement in chronic heart failure. This easy-to-use indicator may enable timely management of exacerbation of patient condition and reduce hospitalization events.
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