Suppr超能文献

HIRA:基于心率间期的快速警报评分,用于表征脓毒症相关急性呼吸衰竭(ARF)患者的自主神经功能障碍。

HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF).

作者信息

Krishnan Preethi, Rad Milad G, Agarwal Palak, Marshall Curtis, Yang Philip, Bhavani Sivasubramanium V, Holder Andre L, Esper Annette, Kamaleswaran Rishikesan

机构信息

Department of Biomedical Engineering, Emory University, Atlanta, GA, Georgia.

Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, Georgia.

出版信息

Physiol Meas. 2023 Oct 13;44(10):105006. doi: 10.1088/1361-6579/acf5c7.

Abstract

. To examine whether heart rate interval based rapid alert (HIRA) score derived from a combination model of heart rate variability (HRV) and modified early warning score (MEWS) is a surrogate for the detection of acute respiratory failure (ARF) in critically ill sepsis patients.. Retrospective HRV analysis of sepsis patients admitted to Emory healthcare intensive care unit (ICU) was performed between sepsis-related ARF and sepsis controls without ARF. HRV measures such as time domain, frequency domain, and nonlinear measures were analyzed up to 24 h after patient admission, 1 h before the onset of ARF, and a random event time in the sepsis controls. Statistical significance was computed by the Wilcoxon Rank Sum test. Machine learning algorithms such as eXtreme Gradient Boosting and logistic regression were developed to validate the HIRA score model. The performance of HIRA and early warning score models were evaluated using the area under the receiver operating characteristic (AUROC).. A total of 89 (ICU) patients with sepsis were included in this retrospective cohort study, of whom 31 (34%) developed sepsis-related ARF and 58 (65%) were sepsis controls without ARF. Time-domain HRV for Electrocardiogram (ECG) Beat-to-Beat RR intervals strongly distinguished ARF patients from controls. HRV measures for nonlinear and frequency domains were significantly altered (< 0.05) among ARF compared to controls. The HIRA score AUC: 0.93; 95% confidence interval (CI): 0.88-0.98) showed a higher predictive ability to detect ARF when compared to MEWS (AUC: 0.71; 95% CI: 0.50-0.90).. HRV was significantly impaired across patients who developed ARF when compared to controls. The HIRA score uses non-invasively derived HRV and may be used to inform diagnostic and therapeutic decisions regarding the severity of sepsis and earlier identification of the need for mechanical ventilation.

摘要

为了检验基于心率间期的快速警报(HIRA)评分(该评分源自心率变异性(HRV)与改良早期预警评分(MEWS)的组合模型)是否可作为检测重症脓毒症患者急性呼吸衰竭(ARF)的替代指标。对埃默里医疗重症监护病房(ICU)收治的脓毒症患者进行回顾性HRV分析,比较脓毒症相关ARF患者与无ARF的脓毒症对照患者。在患者入院后24小时内、ARF发作前1小时以及脓毒症对照患者的随机事件时间,分析HRV测量指标,如时域、频域和非线性测量指标。采用Wilcoxon秩和检验计算统计学显著性。开发了诸如极端梯度提升和逻辑回归等机器学习算法来验证HIRA评分模型。使用受试者操作特征曲线下面积(AUROC)评估HIRA和早期预警评分模型的性能。本回顾性队列研究共纳入89例(ICU)脓毒症患者,其中31例(34%)发生脓毒症相关ARF,58例(65%)为无ARF的脓毒症对照患者。心电图逐搏RR间期的时域HRV能显著区分ARF患者与对照患者。与对照相比,ARF患者的非线性和频域HRV测量指标有显著改变(<0.05)。HIRA评分的AUC为0.93;95%置信区间(CI):0.88 - 0.98,与MEWS(AUC:0.71;95%CI:0.50 - 0.90)相比,其检测ARF的预测能力更高。与对照相比,发生ARF的患者HRV明显受损。HIRA评分使用非侵入性获得的HRV,可用于为脓毒症严重程度的诊断和治疗决策提供信息,并更早识别机械通气的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb20/10571460/9950cfa37bb6/pmeaacf5c7f1_lr.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验