Rapid response systems

快速反应系统
  • 文章类型: English Abstract
    Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early prediction and classification algorithm for SCA based on deep transfer learning. With limited ECG data, it extracts heart rate variability features before the onset of SCA and utilizes a lightweight convolutional neural network model for pre-training and fine-tuning in two stages of deep transfer learning. This achieves early classification, recognition and prediction of high-risk ECG signals for SCA by neural network models. Based on 16 788 30-second heart rate feature segments from 20 SCA patients and 18 sinus rhythm patients in the international publicly available ECG database, the algorithm performance evaluation through ten-fold cross-validation shows that the average accuracy (Acc), sensitivity (Sen), and specificity (Spe) for predicting the onset of SCA in the 30 minutes prior to the event are 91.79%, 87.00%, and 96.63%, respectively. The average estimation accuracy for different patients reaches 96.58%. Compared to traditional machine learning algorithms reported in existing literatures, the method proposed in this paper helps address the requirement of large training datasets for deep learning models and enables early and accurate detection and identification of high-risk ECG signs before the onset of SCA.
    心脏骤停(SCA)是一种致命性心律失常,会对人体生命健康造成严重威胁。基于目前临床记录的心脏猝死(SCD)心电图(ECG)数据极其有限,本文提出了一种基于深度迁移学习的心脏骤停早期预估及分类算法。本文算法在有限的ECG数据训练下,通过提取心脏骤停发作前的心率变异性特征,并送入轻量级卷积神经网络模型进行预训练和微调训练两个阶段的深度迁移学习,实现神经网络模型对心脏骤停高危ECG信号的早期分类识别和预估。基于国际公开ECG数据库中20个心脏猝死患者和18个窦性心律患者的16 788条30 s心率特征片段,本文采用十折交叉量化验证的算法性能评估实验结果显示,对心脏骤停发作前30 min预测的平均准确度(Acc)、灵敏度(Sen)和特异度(Spe)分别为91.79%、87.00%和96.63%;而对不同患者的平均预估准确度达到96.58%。相较于已报道的传统机器学习算法,本文方法不仅有助于解决深度学习模型对大量训练数据的要求,而且能够更加早期、准确地检测和识别心脏骤停发作前的高危ECG征兆。.
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  • 文章类型: Journal Article
    尽管早期发现患者病情恶化可能会改善预后,大多数检测标准使用生命体征的现场值。我们调查了随着时间的推移增加趋势值是否增强了住院患者预测不良事件的能力。
    经历不良事件的患者,本回顾性研究纳入了意外心脏骤停或计划外ICU入住等患者.在事件发生前0-8小时(接近事件)和事件发生前24-48小时(基线)的最坏生命体征时,评估事件与生命体征组合之间的关联。进行了多变量逻辑分析,受试者工作特征曲线下面积(AUC)用于评估各种生命体征参数组合中不良事件的预测能力.
    在24,509名住院患者中,包括54例患者发生不良事件(病例)和3,116例符合数据分析条件的对照患者。在事件附近的时间点,收缩压(SBP)较低,病例组心率(HR)和呼吸频率(RR)较高,在基线时也观察到了这种趋势。事件发生的AUC参考SBP,HR,在基线评估时,RR低于事件附近的时间点(0.85[95CI:0.79-0.92]vs.0.93[0.88-0.97])。当RR的趋势被添加到SBP基线值构建的公式中时,HR,RR,AUC增加到0.92[0.87-0.97]。
    RR趋势可能会提高住院患者不良事件预测的准确性。
    UNASSIGNED: Although early detection of patients\' deterioration may improve outcomes, most of the detection criteria use on-the-spot values of vital signs. We investigated whether adding trend values over time enhanced the ability to predict adverse events among hospitalized patients.
    UNASSIGNED: Patients who experienced adverse events, such as unexpected cardiac arrest or unplanned ICU admission were enrolled in this retrospective study. The association between the events and the combination of vital signs was evaluated at the time of the worst vital signs 0-8 hours before events (near the event) and at 24-48 hours before events (baseline). Multivariable logistic analysis was performed, and the area under the receiver operating characteristic curve (AUC) was used to assess the prediction power for adverse events among various combinations of vital sign parameters.
    UNASSIGNED: Among 24,509 in-patients, 54 patients experienced adverse events(cases) and 3,116 control patients eligible for data analysis were included. At the timepoint near the event, systolic blood pressure (SBP) was lower, heart rate (HR) and respiratory rate (RR) were higher in the case group, and this tendency was also observed at baseline. The AUC for event occurrence with reference to SBP, HR, and RR was lower when evaluated at baseline than at the timepoint near the event (0.85 [95%CI: 0.79-0.92] vs. 0.93 [0.88-0.97]). When the trend in RR was added to the formula constructed of baseline values of SBP, HR, and RR, the AUC increased to 0.92 [0.87-0.97].
    UNASSIGNED: Trends in RR may enhance the accuracy of predicting adverse events in hospitalized patients.
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  • 文章类型: Journal Article
    背景:许多快速反应系统(RRS)事件是使用多个触发器激活的。然而,多个RRS触发器一起发生以激活RRS事件的模式是未知的。这项研究的目的是识别这些模式(RRS触发簇),并确定其与住院成年患者预后的关联。
    方法:检查了2015年1月至2019年12月GetWithTheGuidelines-Resuscitation注册表MET模块中成人患者的RRS事件(n=134,406)。采用聚类分析方法识别RRS触发簇。使用Pearson卡方检验和方差分析检验不同RRS触发簇患者特征的差异。使用多水平逻辑回归来检查RRS触发簇与结果之间的关联。
    结果:确定了6个RRS触发簇。每个集群的主要RRS触发因素是:呼吸急促,新发作的呼吸困难,血氧饱和度降低(1组);呼吸急促,氧饱和度降低,员工关注(集群2);呼吸抑制,氧饱和度降低,精神状态变化(第3组);心动过速,员工关注(第4组);精神状态变化(第5组);低血压,工作人员关注(第6组)。在不同的集群中观察到患者特征的显著差异。第3组和第6组患者发生院内心脏骤停的可能性增加(p<0.01)。所有集群的死亡风险增加(p<0.01)。
    结论:我们发现了6个新的RRS触发簇,它们与患者的不良结局有不同的关系。RRS触发簇可能对于澄清RRS事件与不良后果之间的关联以及在RRS事件期间帮助临床医生做出决策至关重要。
    BACKGROUND: Many rapid response system (RRS) events are activated using multiple triggers. However, the patterns in which multiple RRS triggers occur together to activate RRS events are unknown. The purpose of this study was to identify these patterns (RRS trigger clusters) and determine their association with outcomes among hospitalized adult patients.
    METHODS: RRS events among adult patients from January 2015 to December 2019 in the Get With The Guidelines- Resuscitation registry\'s MET module were examined (n = 134,406). Cluster analysis methods were performed to identify RRS trigger clusters. Pearson\'s chi-squared and ANOVA tests were used to examine differences in patient characteristics across RRS trigger clusters. Multilevel logistic regressions were used to examine the associations between RRS trigger clusters and outcomes.
    RESULTS: Six RRS trigger clusters were identified. Predominant RRS triggers for each cluster were: tachypnea, new onset difficulty in breathing, decreased oxygen saturation (Cluster 1); tachypnea, decreased oxygen saturation, staff concern (Cluster 2); respiratory depression, decreased oxygen saturation, mental status changes (Cluster 3); tachycardia, staff concern (Cluster 4); mental status changes (Cluster 5); hypotension, staff concern (Cluster 6). Significant differences in patient characteristics were observed across clusters. Patients in Clusters 3 and 6 had an increased likelihood of in-hospital cardiac arrest (p < 0.01). All clusters had an increased risk of mortality (p < 0.01).
    CONCLUSIONS: We discovered six novel RRS trigger clusters with differing relationships to adverse patient outcomes. RRS trigger clusters may prove crucial in clarifying the associations between RRS events and adverse outcomes and aiding in clinician decision-making during RRS events.
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  • 文章类型: Journal Article
    除了传统的单层医疗急救小组之外,许多快速反应系统现在都有多层升级。鉴于这种变化对患者预后的益处尚不清楚,我们试图调查多层系统的工作量影响,包括触发器修改的影响。
    研究设计结合了使用匹配的病例对照数据集的事后分析。
    研究背景是急性的,成人三级转诊医院。
    有不良事件(心脏骤停或意外重症监护病房入院)或快速反应小组(RRT)呼叫的病例参与了研究。对照组按年龄匹配,性别,病房和一年中的时间,无不良事件或RRT调用。参与者在2014年5月至2015年4月期间被录取。
    主要结果指标是评论的数量,触发器,和跨三层升级的修改;护士审查,多学科审查(MDT-admittingmedicalteamreview),和RRT电话。
    有321例病例和321例对照。总的来说,有1948年的护士触发器,其中1431例(73.5%)为病例,517例(26.5%)为对照,798个MDT触发(病例为660个[82.7%],对照组为138个[17.3%]),和379个RRT触发因素(病例为351个[92.6%],对照组为28个[7.4%])。每位患者每24小时,有3.03护士,1.24MDT,和0.59RRT触发器。修改会计,分别降至2.17、0.88和0.42。被修改的触发器的比例,以免引发审查,在所有层面上都是相似的,占护士的28.6%,MDT的29.6%,和28.2%的RRT触发器。每位患者每24小时,有0.61条护士评论,0.52MDT评论,和0.08RRT评论。
    低层触发器更为普遍,和修改是常见的。修改大大减轻了多层系统所有层的升级工作负载。
    UNASSIGNED: Many rapid response systems now have multiple tiers of escalation in addition to the traditional single tier of a medical emergency team. Given that the benefit to patient outcomes of this change is unclear, we sought to investigate the workload implications of a multitiered system, including the impact of trigger modification.
    UNASSIGNED: The study design incorporated a post hoc analysis using a matched case-control dataset.
    UNASSIGNED: The study setting was an acute, adult tertiary referral hospital.
    UNASSIGNED: Cases that had an adverse event (cardiac arrest or unanticipated intensive care unit admission) or a rapid response team (RRT) call participated in the study. Controls were matched by age, gender, ward and time of year, and no adverse event or RRT call. Participants were admitted between May 2014 and April 2015.
    UNASSIGNED: The main outcome measure were the number of reviews, triggers, and modifications across three tiers of escalation; a nurse review, a multidisciplinary review (MDT-admitting medical team review), and an RRT call.
    UNASSIGNED: There were 321 cases and 321 controls. Overall, there were 1948 nurse triggers, of which 1431 (73.5%) were in cases and 517 (26.5%) in controls, 798 MDT triggers (660 [82.7%] in cases and 138 [17.3%] in controls), and 379 RRT triggers (351 [92.6%] in cases and 28 [7.4%] in controls). Per patient per 24 h, there were 3.03 nurse, 1.24 MDT, and 0.59 RRT triggers. Accounting for modifications, this reduced to 2.17, 0.88, and 0.42, respectively. The proportion of triggers that were modified, so as not to trigger a review, was similar across all the tiers, being 28.6% of nurse, 29.6% of MDT, and 28.2% of RRT triggers. Per patient per 24 h, there were 0.61 nurse reviews, 0.52 MDT reviews, and 0.08 RRT reviews.
    UNASSIGNED: Lower-tier triggers were more prevalent, and modifications were common. Modifications significantly mitigated the escalation workload across all tiers of a multitiered system.
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  • 文章类型: Journal Article
    在8个大型(>50例)美国消除后爆发中,第一个也是最后一个发生在俄亥俄州。俄亥俄州的疫苗接种登记册不完整。社区层面的免疫差距威胁着美国超过二十年的麻疹消除。我们开发了一个统计模型,VaxEstim,快速估计2022年俄亥俄州中部爆发期间暴露人群的早期疫苗接种覆盖率和免疫差距。
    我们使用了重建的每日发病率(来自公开可用的数据)和关于序列间隔分布的假设,或连续麻疹病例出现症状之间的时间,估计有效再现数(即,在部分免疫人群中,由感染个体引起的继发感染的平均数量)。我们通过将有效繁殖数与基本繁殖数进行比较来估计早期麻疹疫苗接种覆盖率(即,在完全易感人群中,由感染个体引起的继发感染的平均数量),同时考虑疫苗的有效性。最后,我们将早期阶段免疫差距估计为估计的关键疫苗接种阈值和疫苗接种覆盖率之间的差异.
    VaxEstim估计早期疫苗接种覆盖率为53%(95%可信间隔,21%-77%),关键疫苗接种阈值为93%,免疫力差距为42%(95%可信区间,18%-74%)。
    这项研究估计,在2022年俄亥俄州中部麻疹爆发的早期阶段,暴露人群的免疫差距很大,建议需要采取强有力的公共卫生应对措施,以确定易感社区,并制定针对社区的策略来缩小免疫差距.
    这项工作得到了国家普通医学科学研究所的部分支持,美国国立卫生研究院;英国医学研究理事会(MRC);外国,联邦和发展办公室;国家健康研究所(NIHR)健康保护研究所建模方法;伦敦帝国学院,伦敦卫生与热带医学学院,社区Jameel;EDCTP2计划,由欧盟支持;和谢尔盖·布林基金会。
    UNASSIGNED: Of the eight large (>50 cases) US postelimination outbreaks, the first and last occurred in Ohio. Ohio\'s vaccination registry is incomplete. Community-level immunity gaps threaten more than two decades of measles elimination in the US. We developed a statistical model, VaxEstim, to rapidly estimate the early-phase vaccination coverage and immunity gap in the exposed population during the 2022 Central Ohio outbreak.
    UNASSIGNED: We used reconstructed daily incidence (from publicly available data) and assumptions about the distribution of the serial interval, or the time between symptom onset in successive measles cases, to estimate the effective reproduction number (i.e., the average number of secondary infections caused by an infected individual in a partially immune population). We estimated early-phase measles vaccination coverage by comparing the effective reproduction number to the basic reproduction number (i.e., the average number of secondary infections caused by an infected individual in a fully susceptible population) while accounting for vaccine effectiveness. Finally, we estimated the early-phase immunity gap as the difference between the estimated critical vaccination threshold and vaccination coverage.
    UNASSIGNED: VaxEstim estimated the early-phase vaccination coverage as 53% (95% credible interval, 21%-77%), the critical vaccination threshold as 93%, and the immunity gap as 42% (95% credible interval, 18%-74%).
    UNASSIGNED: This study estimates a significant immunity gap in the exposed population during the early phase of the 2022 Central Ohio measles outbreak, suggesting a robust public health response is needed to identify the susceptible community and develop community-specific strategies to close the immunity gap.
    UNASSIGNED: This work was supported in part by the National Institute of General Medical Sciences, National Institutes of Health; the UK Medical Research Council (MRC); the Foreign, Commonwealth and Development Office; the National Institute for Health Research (NIHR) Health Protection Research Unit in Modelling Methodology; Imperial College London, and the London School of Hygiene & Tropical Medicine, Community Jameel; the EDCTP2 programme, supported by the EU; and the Sergei Brin Foundation.
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  • 文章类型: Journal Article
    这篇评论批评了英国国家预警评分(NEWS)的利弊。考虑了未来的潜在发展,以及新闻在急诊科(ED)中的作用。NEWS预测24小时内死亡的能力已经在多个临床环境中得到了很好的验证。它为评估临床严重程度提供了一种通用语言,可用于触发临床干预。然而,它不应该被用作风险分层的唯一指标,因为它预测24h后死亡率的能力不可靠,并且受其他因素的影响很大.新闻的主要缺点是衡量它需要训练有素的专业人员,这既耗时又容易产生计算错误。新闻建议在急性英国医院使用,它与反映研究生经验的升级政策有关;新闻较低的患者首先由初级临床医生评估,而分数较高的患者由更高级的工作人员评估。这项政策是基于专家意见,没有考虑到工作量的影响。然而,它的实施已被证明可以提高生命体征的有效记录。如何以及谁应该对不同的新闻水平做出反应是不确定的,并且可能根据临床环境和可用资源而有所不同。在ED中,更快速且更易于使用的简单分诊评分可能是更合适的敏锐度决定因素。然而,新闻的任何替代方法都应该更容易、更便宜地使用,并提供结果改善的证据。
    This review critiques the benefits and drawbacks of the United Kingdom\'s National Early Warning Score (NEWS). Potential developments for the future are considered, as well as the role for NEWS in an emergency department (ED). The ability of NEWS to predict death within 24 h has been well validated in multiple clinical settings. It provides a common language for the assessment of clinical severity and can be used to trigger clinical interventions. However, it should not be used as the only metric for risk stratification as its ability to predict mortality beyond 24 h is not reliable and greatly influenced by other factors. The main drawbacks of NEWS are that measuring it requires trained professionals, it is time consuming and prone to calculation error. NEWS is recommended for use in acute UK hospitals, where it is linked to an escalation policy that reflects postgraduate experience; patients with lower NEWS are first assessed by a junior clinician and those with higher scores by more senior staff. This policy was based on expert opinion that did not consider workload implications. Nevertheless, its implementation has been shown to improve the efficient recording of vital signs. How and who should respond to different NEWS levels is uncertain and may vary according to the clinical setting and resources available. In the ED, simple triage scores which are quicker and easier to use may be more appropriate determinants of acuity. However, any alternative to NEWS should be easier and cheaper to use and provide evidence of outcome improvement.
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  • 文章类型: Journal Article
    BACKGROUND: Hospitalized patients can develop septic shock at any time. Therefore, it is important to identify septic patients in hospital wards and rapidly perform the optimal treatment. Although the sepsis bundle has already been reported to improve survival rates, the controversy over evidence of the effect of in-hospital sepsis continues to exist. We aimed to estimate the outcomes and bundle compliance of patients with septic shock in hospital wards managed through the rapid response system (RRS).
    METHODS: A retrospective cohort study of 976 patients with septic shock managed through the RRS at an academic, tertiary care hospital in Korea from 2008 to 2017.
    RESULTS: Of the 976 enrolled patients, the compliance of each sepsis bundle was high (80.8-100.0%), but the overall success rate of the bundle was low (58.3%). The compliance rate for achieving the overall sepsis bundle increased from 26.5% to 70.0%, and the 28-day mortality continuously decreased from 50% to 32.1% over 10 years. We analyzed the two groups according to whether they completed the overall sepsis bundle or not. Of the 976 enrolled patients, 569 (58.3%) sepsis bundles were completed, whereas 407 (41.7%) were incomplete. The complete bundle group showed lower 28-day mortality than the incomplete bundle group (37.1% vs. 53.6%, p < 0.001). In the multivariate multiple logistic regression model, the 28-day mortality was significantly associated with the complete bundle (adjusted odds ratio (OR), 0.61; 95% confidence intervals (CI), 0.40-0.91; p = 0.017). The obtaining of blood cultures (adjusted OR, 0.45; 95% CI, 0.33-0.63; p < 0.001) and lactate re-measurement (adjusted OR, 0.69; 95% CI, 0.50-0.95; p = 0.024) in each component of the sepsis bundle were associated with the 28-day mortality.
    CONCLUSIONS: The rapid response system provides improving sepsis bundle compliances and survival in patients with septic shock in hospital wards.
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  • 文章类型: Journal Article
    BACKGROUND: For over a decade, patients experiencing clinical deterioration have been attended to by specialised nurses, the most senior of which are intensive care unit liaison nurses (ICU LNs) or critical care outreach nurses. These roles have evolved without consistent and formal recognised educational preparation. To continue to advance patient safety, an understanding of the educational requirements for these vital roles is required.
    OBJECTIVE: The aim of this study was to ascertain nurses\' perceptions of the curriculum required to perform the roles of ICU LNs or critical care outreach nurses within an acute care sector rapid response system.
    METHODS: An exploratory descriptive study was conducted at an international rapid response system conference in 2016 following ethics approval. Using convenience sampling, extended response surveys were completed by nurses with rapid response system leadership experience and roles. Data were analysed using content analysis according to a priori themes of theoretical knowledge, skills, and attributes.
    RESULTS: Seventy-seven registered nurses volunteered to take part in the study, forming 14 groups, each with four to seven members. Participants identified key concepts for desired theoretical knowledge, practical skills, and personal attributes. Professional behaviours were more frequently emphasised than theoretical knowledge or practical skills, suggesting personal attributes were highly valued in these leadership roles.
    CONCLUSIONS: A curriculum designed to prepare patient safety leadership roles of the ICU LN or critical care outreach nurse has been identified. These findings can inform the development of postgraduate courses and training requirements, along with position descriptions and expectations of employers regarding the skill set expected in these leadership roles.
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  • 文章类型: Journal Article
    背景:新冠肺炎入院的患者有恶化的风险。国家预警评分(NEWS2)被广泛推荐,然而,它在Covid-19中的有效性尚未确定,更具体的呼吸衰竭指数可能更合适。我们的目的是描述恶化的生理前兆,测试NEWS2的预测有效性,并将其与ROX指数([SpO2/FiO2]/呼吸频率)进行比较。
    方法:对入住内科病房的成年患者进行单中心回顾性队列研究,在1/3/20和30/5/20之间,SARS-CoV-2RNA的阳性结果。提取并分析了生理观察和NEWS2。主要结果是心脏骤停的复合结果,计划外重症监护入院或24小时内死亡。使用广义线性模型来评估生理值的关联,NEWS2和ROX的结果。
    结果:主要结局发生在186例患者(26%)中。在过去的24小时里,恶化在呼吸参数中最为明显,特别是在不断增加的需氧量方面;呼吸急促是一个迟到的迹象,而心血管观察保持稳定。NEWS2的受试者工作曲线下面积为0.815(95%CI0.804-0.826),ROX为0.848(95%CI0.837-0.858)。应用最佳水平的ROX,大多数患者比NEWS2患者早触发4小时,即5.
    结论:由于设计的内在局限性和疾病的独特病理生理学,NEWS2在Covid-19中可能表现不佳。利用呼吸参数的简单指标可以在预测不良事件的发生方面胜过NEWS2。
    BACKGROUND: Patients admitted to hospital with Covid-19 are at risk of deterioration. The National Early Warning Score (NEWS2) is widely recommended, however it\'s validity in Covid-19 is not established and indices more specific for respiratory failure may be more appropriate. We aim to describe the physiological antecedents to deterioration, test the predictive validity of NEWS2 and compare this to the ROX index ([SpO2/FiO2]/respiratory rate).
    METHODS: A single centre retrospective cohort study of adult patients who were admitted to a medical ward, between 1/3/20 and 30/5/20, with positive results for SARS-CoV-2 RNA. Physiological observations and the NEWS2 were extracted and analysed. The primary outcome was a composite of cardiac arrest, unplanned critical care admission or death within 24 hours. A generalized linear model was used to assess the association of physiological values, NEWS2 and ROX with the outcome.
    RESULTS: The primary outcome occurred in 186 patients (26%). In the preceding 24 hours, deterioration was most marked in respiratory parameters, specifically in escalating oxygen requirement; tachypnoea was a late sign, whilst cardiovascular observations remained stable. The area under the receiver operating curve was 0.815 (95% CI 0.804-0.826) for NEWS2 and 0.848 (95% CI 0.837-0.858) for ROX. Applying the optimal level of ROX, the majority of patients triggered four hours earlier than with NEWS2 of 5.
    CONCLUSIONS: NEWS2 may under-perform in Covid-19 due to intrinsic limitations of the design and the unique pathophysiology of the disease. A simple index utilising respiratory parameters can outperform NEWS2 in predicting the occurrence of adverse events.
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