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使用重症监护病房出院前心率预测心力衰竭患者死亡率的效能:一项来自MIMIC-IV数据库的回顾性队列研究

Efficacy in predicting mortality of patients with heart failure using heart rate before intensive care unit discharge: a retrospective cohort study from MIMIC-IV Database.

作者信息

Hsiao Chia-Ying, Su Min-I, Chang Yu-Cheng, Lee Ying-Hsiang, Lin Po-Lin, Chiou Wei-Ru

机构信息

Department of Internal Medicine, Division of Nephrology, Taitung MacKay Memorial Hospital, Taitung, Taiwan.

Department of Medicine, MacKay Medical College, New Taipei, Taiwan.

出版信息

BMJ Open. 2024 Dec 26;14(12):e087725. doi: 10.1136/bmjopen-2024-087725.

DOI:10.1136/bmjopen-2024-087725
PMID:39725413
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11683963/
Abstract

OBJECTIVE

Heart rate serves as a critical prognostic factor in heart failure (HF) patients. We hypothesise that elevated heart rate in critically ill HF patients on discharge from the intensive care unit (ICU) could be linked to adverse outcomes.

DESIGN

A single-centre retrospective cohort study.

SETTING

This study used data collected between 2008 and 2019 from the Medical Information Mart for Intensive Care IV (V.2.0) Database.

PARTICIPANTS

From the 76 943 ICU stays, we enrolled 2365 patients in this study.

PRIMARY AND SECONDARY OUTCOME MEASURES

We observed correlations between in-hospital mortality and ICU discharge heart rate of 83.56±15.81 beats per minute (bpm) (survivors) vs 93.84±17.28 bpm (non-survivors, p<0.001). Total mortality showed similar trends, with 83.67±15.36 bpm (survivors) vs 85.23±17.25 bpm (non-survivors, p=0.027), as did ICU readmissions at 83.55±15.77 bpm (non-readmitted) vs 88.64±17.49 bpm (readmitted, p<0.001).

RESULTS

Given multivariate analysis, the ICU discharge heart rate strongly predicted in-hospital mortality (HR 1.032 (95% CI 1.022 to 1.041), p<0.001), total mortality (HR 1.008 (95% CI 1.004 to 1.013), p<0.001) and ICU readmission (HR 1.018 (95% CI 1.010 to 1.025), p<0.001). Patients with an ICU discharge heart rate>90 bpm demonstrated significantly higher in-hospital mortality (HR 2.639 (95% CI 1.898 to 3.669), p<0.001), total mortality (HR 1.342 (95% CI 1.163 to 1.550), p<0.001) and ICU readmission rates (HR 1.781 (95% CI 1.413 to 2.243), p<0.001).

CONCLUSION

The findings suggest that HF patients with an elevated heart rate (>90 bpm) at ICU discharge are more likely to experience increased in-hospital mortality, total mortality and ICU readmissions, indicating potential negative outcomes.

摘要

目的

心率是心力衰竭(HF)患者的关键预后因素。我们假设,重症监护病房(ICU)出院时重症HF患者心率升高可能与不良预后相关。

设计

单中心回顾性队列研究。

背景

本研究使用了2008年至2019年期间从重症监护医学信息数据库IV(V.2.0版)收集的数据。

参与者

在76943次ICU住院病例中,我们纳入了2365例患者进行本研究。

主要和次要结局指标

我们观察到,院内死亡率与ICU出院时心率之间存在相关性,存活者的心率为83.56±15.81次/分钟(bpm),非存活者为93.84±17.28 bpm(p<0.001)。总死亡率呈现类似趋势,存活者为83.67±15.36 bpm,非存活者为85.23±17.25 bpm(p=0.027),ICU再入院情况也是如此,未再入院患者为83.55±15.77 bpm,再入院患者为88.64±17.49 bpm(p<0.001)。

结果

多变量分析显示,ICU出院时心率强烈预测院内死亡率(风险比[HR]1.032[95%置信区间(CI)1.022至1.041],p<0.001)、总死亡率(HR 1.008[95%CI 1.004至1.013],p<0.001)和ICU再入院率(HR 1.018[95%CI 1.010至1.025],p<0.001)。ICU出院时心率>90 bpm的患者院内死亡率显著更高(HR 2.639[95%CI 1.898至3.669],p<0.001)、总死亡率(HR 1.342[95%CI 1.163至1.550],p<0.001)和ICU再入院率(HR 1.781[95%CI 1.413至2.243],p<0.001)。

结论

研究结果表明,ICU出院时心率升高(>90 bpm)的HF患者更有可能出现院内死亡率增加、总死亡率增加和ICU再入院情况,提示可能存在不良结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d2/11683963/f57e6b9dd369/bmjopen-14-12-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d2/11683963/f57e6b9dd369/bmjopen-14-12-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d2/11683963/f57e6b9dd369/bmjopen-14-12-g001.jpg

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本文引用的文献

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Front Cardiovasc Med. 2022 Feb 28;9:847206. doi: 10.3389/fcvm.2022.847206. eCollection 2022.
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The association between ivabradine and adverse cardiovascular events in acute decompensated HFrEF patients.伊伐布雷定与急性失代偿性射血分数降低的心力衰竭(HFrEF)患者不良心血管事件之间的关联。
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Combination of ivabradine and sacubitril/valsartan in patients with heart failure and reduced ejection fraction.
伊伐布雷定与沙库巴曲缬沙坦联合用于射血分数降低的心力衰竭患者。
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Heart rate at discharge in patients with acute decompensated heart failure is a predictor of mortality.急性失代偿性心力衰竭患者出院时的心率是死亡率的一个预测指标。
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PLoS One. 2017 Nov 2;12(11):e0187410. doi: 10.1371/journal.pone.0187410. eCollection 2017.
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The MIMIC Code Repository: enabling reproducibility in critical care research.MIMIC 代码库:实现重症监护研究的可重复性。
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