[Effects of pulmonary embolism response team on the quality of care and clinical outcomes in patients with acute pulmonary embolism].

Objective: To evaluate the effects of pulmonary embolism response team (PERT) on the quality of care and clinical outcomes in patients with acute pulmonary embolism. Methods: This was a single-center retrospective cohort study. Patients with acute pulmonary embolism treated in Beijing Anzhen Hospital Affiliated to Capital Medical University from July 5, 2016 to July 4, 2018 were enrolled. Patients with acute pulmonary embolism who had traditional care from July 5, 2016 to July 4, 2017 (before the implementation of PERT) were classified as PERT pre-intervention group. Patients with acute pulmonary embolism who started PERT care from July 5, 2017 to July 4, 2018 were divided into the PERT intervention group. The diagnosis and treatment information of patients was collected through the electronic medical record system, and the quality of care (time from visit to hospitalization, time from hospitalization to anticoagulation initiation, time from visit to definitive diagnosis, total hospital stay, time in intensive care unit (ICU), hospitalization cost) and clinical outcomes (in-hospital mortality and incidence of bleeding) were compared between the two groups. Results: A total of 210 patients with acute pulmonary embolism, aged (63.3±13.7) years old, with 102 (48.6%) female patients were included. There were 108 cases in PERT pre-intervention group and 102 cases in PERT intervention group. (1) Quality of diagnosis and treatment: there was a statistical significance between the two groups in the distribution of time from diagnosis to definitive diagnosis (P=0.002). Among them, the rate of completion of diagnosis within 24 hours after PERT intervention was higher than that before PERT intervention (80.4% (45/56) vs. 50.0% (34/68), P<0.001). The time from treatment to hospitalization was shorter than that before PERT intervention (180.0 (60.0, 645.0) min vs. 900.0 (298.0, 1 806.5) min, P<0.001). The total length of hospital stay was less than that before PERT intervention (12 (10, 14) d vs. 14 (11, 16) d, P=0.001). There was no statistical significance in the time from hospitalization to anticoagulant therapy, the length of ICU stay and hospitalization cost between the two groups (all P>0.05). (2) Clinical outcomes during hospitalization: There was no statistical significance in the incidence of hemorrhage and mortality between the two groups during hospitalization (both P>0.05). Conclusion: PERT has improved the efficiency of diagnosis and treatment of patients with acute pulmonary embolism and significantly shortened the total hospital stay, but its impact on clinical outcomes still needs further study.

Effectiveness of Rapid Response Team implementation in a tertiary hospital in Egypt: an interventional study.

BACKGROUND: Rapid response teams (RRTs) help in the early recognition of deteriorating patients in hospital wards and provide the needed management at the bedside by a qualified team. RRT implementation is still questionable because there is insufficient evidence regarding its effects. To date, according to our knowledge, no published studies have addressed the effectiveness of RRT implementation on inpatient care outcomes in Egypt. OBJECTIVE: We aimed to assess the impact of an RRT on the rates of inpatient mortality, cardiopulmonary arrest calls and unplanned intensive care unit (ICU) admission in an Egyptian tertiary hospital. METHODS: An interventional study was conducted at a university hospital. Data was evaluated for 24 months before the intervention (January 2018 till December 2019, which included 4242 admissions). The intervention was implemented for 12 months (January 2021 till December 2021), ending with postintervention evaluation of 2338 admissions. RESULTS: RRT implementation was associated with a significant reduction in inpatient mortality rate from 88.93 to 46.44 deaths per 1000 discharges (relative risk reduction (RRR)=0.48; 95% CI, 0.36 to 0.58). Inpatient cardiopulmonary arrest rate decreased from 7.41 to 1.77 calls per 1000 discharges (RRR, 0.76; 95% CI, 0.32 to 0.92), while unplanned ICU admissions decreased from 5.98 to 4.87 per 1000 discharges (RRR, 0.19; 95% CI, -0.65 to 0.60). CONCLUSIONS: RRT implementation was associated with a significantly reduced hospital inpatient mortality rate, cardiopulmonary arrest call rate as well as reduced unplanned ICU admission rate. Our results reveal that RRT can contribute to improving the quality of care in similar settings in developing countries.

Development of a novel rapid response event review process for quality improvement.

INTRODUCTION: Rapid response team (RRT) and code activation events occur relatively commonly in inpatient settings. RRT systems have been the subject of a significant amount of analysis, although this has been largely focused on the impact of RRT system implementation and RRT events on patient outcomes. There is reason to believe that the structured assessment of RRT and code events may be an effective way to identify opportunities for system improvement, although no standardised approach to event analysis is widely accepted. We developed and refined a protocolised system of RRT and code event review, focused on sustainable, timely and high value event analysis meant to inform ongoing improvement activities. METHODS: A group of clinicians with expertise in process and quality improvement created a protocolised analytic plan for rapid response event review, piloted and then iteratively optimised a systematic process which was applied to all subsequent cases to be reviewed. RESULTS: Hospitalist reviewers were recruited and trained in a methodical approach. Each reviewer performed a chart review to summarise RRT events, and collect specific variables for each case (coding). Coding was then reviewed for concordance, at monthly interdisciplinary group meetings and 'Action Items' were identified and considered for implementation. In any 12-month period starting in 2021, approximately 12-15 distinct cases per month were reviewed and coded, offering ample opportunities to identify trends and patterns. CONCLUSION: We have developed an innovative process for ongoing review of RRT-Code events. The review process is easy to implement and has allowed for the timely identification of high value improvement opportunities.

Risk Factors for Deterioration Events in the Pediatric Acute Care Setting.

OBJECTIVES: Rapid response system (RRS) activations resulting in emergency transfers (ETs) and codes outside the ICU are associated with increased mortality and length of stay. We aimed to evaluate the patient and care team characteristics of RRS activations resulting in ETs and codes outside the ICU (together classified as "deterioration events") versus those that did not result in a deterioration event. METHODS: For each RRS activation at our institution from 2019 to 2021, data were gathered on patient demographics and medical diagnoses, care team and treatment factors, and ICU transfer. Descriptive statistics, bivariate analyses, and multivariable logistic regression using a backward elimination model selection method were performed to assess potential risk factors for deterioration events. RESULTS: Over the 3-year period, 1765 RRS activations were identified. Fifty-three (3%) activations were deemed acute care codes, 64 (4%) were noncode ETs, 921 (52%) resulted in nonemergent transfers to an ICU, and 727 (41%) patients remained in an acute care unit. In a multivariable model, any complex chronic condition (adjusted odds ratio, 6.26; 95% confidence interval, 2.83-16.60) and hematology/oncology service (adjusted odds ratio, 2.19; 95% confidence interval, 1.28-3.74) were independent risk factors for a deterioration event. CONCLUSIONS: Patients with medical complexity and patients on the hematology/oncology service had a higher risk of deterioration events than other patients with RRS activations. Further analyzing how our hospital evaluates and treats these specific patient populations is critical as we develop targeted interventions to reduce deterioration events.

Prevalence and characteristics of medical emergency teams in Switzerland: a nationwide survey of intensive care units.

BACKGROUND: Medical Emergency Teams (METs) have been implemented in many hospitals worldwide and are considered an integral part of the hospital patient safety system. However, data on prevalence, staffing and activation criteria of METs are scarce. Such data are important as they may help to identify areas of quality improvement and barriers to implementation of rapid response systems (RRS). This survey aimed to analyze current characteristics, prevalence, and organization of METs in Switzerland. METHODS: We conducted a cross-sectional nationwide online survey, inviting physicians' and nurses' representatives from all registered adult intensive care units (ICU) in Switzerland. RESULTS: Of the 74 hospitals invited to participate in the survey, 57 responded (response rate 77%). We obtained 82 individual responses (from 50 physicians and 32 nurses). Twenty-five hospitals (44%) have a MET in place. In most Swiss hospitals, METs are composed of ICU consultants (64%) and ICU nurses (40%) and are activated by phone, with a usual response time of less than 10 minutes. The most common triggers are single abnormal vital signs (80%), while multiple-parameter warning scores are less commonly used (28%). While more than half of the nurses have regular trainings for their MET members (57%), most MET physicians (63%) do not. Systematic data collection of MET calls occurs in only 43% of institutions. Finally, the most common reasons for not having a MET are staff shortage (44%) and lack of funding (19%). CONCLUSIONS: Less than 50% of Swiss hospitals with an adult ICU have a MET in place. METs in Switzerland typically include an ICU doctor and an ICU nurse and are available 24/7. Major barriers to MET introduction are staff shortage and lack of funding.

Rapid Response Systems.

The hospital rapid response system (RRS) is a patient safety and quality intervention that responds quickly to clinical deteriorations on general wards with the goal of preventing cardiopulmonary arrests, reducing hospital mortality, and facilitating triage and level of care escalations. The RRS is one of the first organized, and systematic, elements of the "ICU without walls" model. RRSs have been shown to be effective in preventing deterioration to cardiopulmonary arrest on general hospital wards and reducing total and unexpected hospital mortality. Recent studies have demonstrated that this benefit can be enhanced through targeted improvements and modifications of existing RRSs.

Rapid response teams in the Eastern Mediterranean Region: Results from the baseline survey of country-level capacities, operations and outbreak response capabilities.

The aim of this study is to assess WHO/Eastern Mediterranean region (WHO/EMR) countries capacities, operations and outbreak response capabilities. Cross-sectional study was conducted targeting 22 WHO/EMR countries from May to June 2021. The survey covers 8 domains related to 15 milstones and key performance indicators (KPIs) for RRT. Responses were received from 14 countries. RRTs are adequately organised in 9 countries (64.3%). The mean retention rate of RRT members was 85.5% ± 22.6. Eight countries (57.1%) reported having standard operating procedures, but only three countries (21.4%) reported an established mechanism of operational fund allocation. In the last 6 months, 10,462 (81.9%) alerts were verified during the first 24 h. Outbreak response was completed by the submission of final RRT response reports in 75% of analysed outbreaks. Risk Communication and Community Engagement (RCCE) activities were part of the interventional response in 59.5% of recent outbreaks. Four countries (28.6%) reported an adequate system to assess RRTs operations. The baseline data highlights four areas to focus on: developing and maintaining the multidisciplinary nature of RRTs through training, adequate financing and timely release of funds, capacity and system building for implementing interventions, for instance, RCCE, and establishing national monitoring and evaluation systems for outbreak response.

The impact of frailty and rapid response team activation on patients admitted to the intensive care unit: A case-control matched, observational, single-centre cohort study.

BACKGROUND: Frailty is a multi-dimensional syndrome associated with mortality and adverse outcomes in patients admitted to the intensive care unit (ICU). Further investigation is warranted to explore the interplay among factors such as frailty, clinical deterioration triggering a medical emergency team (MET) review, and outcomes following admission to the ICU. METHODS: Single-centre, retrospective observational case-control study of adult patients (>18 years) admitted to a medical-surgical ICU with (cases) or without (controls) a preceding MET review between 4 h and 14 days prior. Matching was performed for age, ICU admission diagnosis, Acute Physiology and Chronic Health Evaluation III (APACHE III) score and the 8-point Clinical Frailty Scale (CFS). Cox proportional hazard regression modelling was performed to determine associations with 30-day mortality after admission to ICU. RESULTS: A total of 2314 matched admissions were analysed. Compared to non-frail patients (CFS 1-4), mortality was higher in all frail patients (CFS 5-8), at 31% vs. 13%, and in frail patients admitted after MET review at 33%. After adjusting for age, APACHE, antecedent MET review and CFS in the Cox regression, mortality hazard ratio increased by 26% per CFS point and by 3% per APACHE III point, while a MET review was not an independent predictor. Limitations of medical treatment occurred in 30% of frail patients, either with or without a MET antecedent, and this was five times higher compared to non-frail patients. CONCLUSION: Frail patients admitted to ICU have a high short-term mortality. An antecedent MET event was associated with increased mortality but did not independently predict short-term survival when adjusting for confounding factors. The intrinsic significance of frailty should be primarily considered during MET review of frail patients. This study suggests that routine frailty assessment of hospitalised patients would be helpful to set goals of care when admission to ICU could be considered.

Effectiveness of Implementing Modified Early Warning System and Rapid Response Team for General Ward Inpatients.

This retrospective study assessed the effectiveness and impact of implementing a Modified Early Warning System (MEWS) and Rapid Response Team (RRT) for inpatients admitted to the general ward (GW) of a medical center. This study included all inpatients who stayed in GWs from Jan. 2017 to Feb. 2022. We divided inpatients into GWnon-MEWS and GWMEWS groups according to MEWS and RRT implementation in Aug. 2019. The primary outcome, unexpected deterioration, was defined by unplanned admission to intensive care units. We defined the detection performance and effectiveness of MEWS according to if a warning occurred within 24 h before the unplanned ICU admission. There were 129,039 inpatients included in this study, comprising 58,106 GWnon-MEWS and 71,023 GWMEWS. The numbers of inpatients who underwent an unplanned ICU admission in GWnon-MEWS and GWMEWS were 488 (.84%) and 468 (.66%), respectively, indicating that the implementation significantly reduced unexpected deterioration (p < .0001). Besides, 1,551,525 times MEWS assessments were executed for the GWMEWS. The sensitivity, specificity, positive predicted value, and negative predicted value of the MEWS were 29.9%, 98.7%, 7.09%, and 99.76%, respectively. A total of 1,568 warning signs accurately occurred within the 24 h before an unplanned ICU admission. Among them, 428 (27.3%) met the criteria for automatically calling RRT, and 1,140 signs necessitated the nursing staff to decide if they needed to call RRT. Implementing MEWS and RRT increases nursing staff's monitoring and interventions and reduces unplanned ICU admissions.

Qualitative investigation of military surgical resuscitation teams: what are the drivers of success of a rapid response team?

OBJECTIVES: This qualitative study explores the characteristics of a specialised military medical rapid response team (MRRT), the surgical resuscitation team (SRT). Despite mixed evidence of efficacy, civilian MRRTs are widely employed, with significant variation in structure and function. Recent increased use of these teams to mitigate patient risk in challenging healthcare scenarios, such as global pandemics, mass casualty events and resource-constrained health systems, mandates a reconceptualisation of how civilian MRRTs are created, trained and used. Here, we study the core functions and foundational underpinnings of SRTs and discuss how civilian MRRTs might learn from their military counterparts. DESIGN: Semistructured interview-based study using Descriptive Qualitative Research methodology and Thematic Analysis. SETTING: Remote audio interviews conducted via Zoom. PARTICIPANTS: Participants included 15 members of the United States Special Operations Command SRTs, representing all medical specialties of the SRT as well as operational planners. RESULTS: Adaptability was identified as a core function of SRTs and informed by four foundational underpinnings: mission variability, shared values and principles, interpersonal and organisational trust and highly effective teaming. Our findings provide three important insights for civilian MRRTs: (1) team member roles should not be defined by silos of professional specialisation, (2) trust is a key factor in the teaming process and (3) team principles and values result in and are reinforced by organisational trust. CONCLUSION: This study offers the first in-depth investigation of a unique military MRRT. Important insights that may offer benefit to civilian MRRT practices include enabling the breakdown of traditional division of labour, allowing for and promoting deep interpersonal and professional familiarity, and facilitating a cycle of positive reinforcement between teams and organisations. Future investigation of small team limitations, comparability to civilian MRRTs, and the team relationship to the larger organisation are needed to better understand how these teams function in a healthcare system and translate to civilian practice.

Effectiveness of an Artificial Intelligence-Enabled Intervention for Detecting Clinical Deterioration.

Importance: Inpatient clinical deterioration is associated with substantial morbidity and mortality but may be easily missed by clinicians. Early warning scores have been developed to alert clinicians to patients at high risk of clinical deterioration, but there is limited evidence for their effectiveness. Objective: To evaluate the effectiveness of an artificial intelligence deterioration model-enabled intervention to reduce the risk of escalations in care among hospitalized patients using a study design that facilitates stronger causal inference. Design, Setting, and Participants: This cohort study used a regression discontinuity design that controlled for confounding and was based on Epic Deterioration Index (EDI; Epic Systems Corporation) prediction model scores. Compared with other observational research, the regression discontinuity design facilitates causal analysis. Hospitalized adults were included from 4 general internal medicine units in 1 academic hospital from January 17, 2021, through November 16, 2022. Exposure: An artificial intelligence deterioration model-enabled intervention, consisting of alerts based on an EDI score threshold with an associated collaborative workflow among nurses and physicians. Main Outcomes and Measures: The primary outcome was escalations in care, including rapid response team activation, transfer to the intensive care unit, or cardiopulmonary arrest during hospitalization. Results: During the study, 9938 patients were admitted to 1 of the 4 units, with 963 patients (median [IQR] age, 76.1 [64.2-86.2] years; 498 males [52.3%]) included within the primary regression discontinuity analysis. The median (IQR) Elixhauser Comorbidity Index score in the primary analysis cohort was 10 (0-24). The intervention was associated with a -10.4-percentage point (95% CI, -20.1 to -0.8 percentage points; P = .03) absolute risk reduction in the primary outcome for patients at the EDI score threshold. There was no evidence of a discontinuity in measured confounders at the EDI score threshold. Conclusions and Relevance: Using a regression discontinuity design, this cohort study found that the implementation of an artificial intelligence deterioration model-enabled intervention was associated with a significantly decreased risk of escalations in care among inpatients. These results provide evidence for the effectiveness of this intervention and support its further expansion and testing in other care settings.

A Quality Improvement Project to Reduce Rapid Response System Inequities for Patients with Limited English Proficiency at a Quaternary Academic Medical Center.

BACKGROUND: Recognition of clinically deteriorating hospitalized patients with activation of rapid response (RR) systems can prevent patient harm. Patients with limited English proficiency (LEP), however, experience less benefit from RR systems than do their English-speaking counterparts. OBJECTIVE: To improve outcomes among hospitalized LEP patients experiencing clinical deteriorations. DESIGN: Quasi-experimental pre-post design using quality improvement (QI) statistics. PARTICIPANTS: All adult hospitalized non-intensive care patients with LEP who were admitted to a large academic medical center from May 2021 through March 2023 and experienced RR system activation were included in the evaluation. All patients included after May 2022 were exposed to the intervention. INTERVENTIONS: Implementation of a modified RR system for LEP patients in May 2022 that included electronic dashboard monitoring of early warning scores (EWSs) based on electronic medical record data; RR nurse initiation of consults or full RR system activation; and systematic engagement of interpreters. MAIN MEASURES: Process of care measures included monthly rates of RR system activation, critical response nurse consultations, and disease severity scores prior to activation. Main outcomes included average post-RR system activation length of stay, escalation of care, and in-hospital mortality. Analyses used QI statistics to identify special cause variation in pre-post control charts based on monthly data aggregates. KEY RESULTS: In total, 222 patients experienced at least one RR system activation during the study period. We saw no special cause variation for process measures, or for length of hospitalization or escalation of care. There was, however, special cause variation in mortality rates with an overall pre-post decrease in average monthly mortality from 7.42% (n = 8/107) to 6.09% (n = 7/115). CONCLUSIONS: In this pilot study, prioritized tracking, utilization of EWS-triggered evaluations, and interpreter integration into the RR system for LEP patients were feasible to implement and showed promise for reducing post-RR system activation mortality.

Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial.

OBJECTIVES: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent directly to front-line providers would reduce escalations. DESIGN: Single-center prospective pragmatic nonrandomized clustered clinical trial. SETTING: Academic tertiary care medical center. PATIENTS: Adult patients admitted to four medical-surgical units. Assignment to intervention or control arms was determined by initial unit admission. INTERVENTIONS: Real-time alerts stratified according to predicted likelihood of deterioration sent either to the primary team or directly to the rapid response team (RRT). Clinical care and interventions were at the providers' discretion. For the control units, alerts were generated but not sent, and standard RRT activation criteria were used. MEASUREMENTS AND MAIN RESULTS: The primary outcome was the rate of escalation per 1000 patient bed days. Secondary outcomes included the frequency of orders for fluids, medications, and diagnostic tests, and combined in-hospital and 30-day mortality. Propensity score modeling with stabilized inverse probability of treatment weight (IPTW) was used to account for differences between groups. Data from 2740 patients enrolled between July 2019 and March 2020 were analyzed (1488 intervention, 1252 control). Average age was 66.3 years and 1428 participants (52%) were female. The rate of escalation was 12.3 vs. 11.3 per 1000 patient bed days (difference, 1.0; 95% CI, -2.8 to 4.7) and IPTW adjusted incidence rate ratio 1.43 (95% CI, 1.16-1.78; p < 0.001). Patients in the intervention group were more likely to receive cardiovascular medication orders (16.1% vs. 11.3%; 4.7%; 95% CI, 2.1-7.4%) and IPTW adjusted relative risk (RR) (1.74; 95% CI, 1.39-2.18; p < 0.001). Combined in-hospital and 30-day-mortality was lower in the intervention group (7% vs. 9.3%; -2.4%; 95% CI, -4.5% to -0.2%) and IPTW adjusted RR (0.76; 95% CI, 0.58-0.99; p = 0.045). CONCLUSIONS: Real-time machine learning alerts do not reduce the rate of escalation but may reduce mortality.

Compliance with cardiopulmonary resuscitation guidelines in witnessed in-hospital cardiac arrest events and patient outcome on monitored versus non-monitored wards.

BACKGROUND: Adherence to cardiopulmonary resuscitation (CPR) guidelines in treatment of in-hospital cardiac arrest (IHCA) have been associated with favourable patient outcome. The aim of this study was to evaluate if compliance with initial CPR guidelines and patient outcome of witnessed IHCA events were associated with the place of arrest defined as monitored versus non-monitored ward. METHODS: A total of 956 witnessed IHCA events in adult patients at six hospitals during 2018 to 2019, were extracted from the Swedish Registry of Cardiopulmonary Resuscitation. Initial CPR guidelines were: ≤1 min from collapse to alert of the rapid response team, ≤1 min from collapse to start of CPR, ≤3 min from collapse to defibrillation of shockable rhythm. RESULTS: The odds of compliance with guidelines was higher on monitored wards vs non-monitored wards, even after adjustment for factors that could affect staffing and resources. The place of arrest was not a significant factor for sustained return of spontaneous circulation, survival at 30 days, or neurological status at discharge, when adjusting for clinically relevant confounders. Compliance with initial CPR guidelines remained a significant factor for survival to 30 days and favourable neurological outcome at discharge regardless of other confounders. CONCLUSION: Compliance with initial CPR guidelines was higher in witnessed IHCA events on monitored wards than on non-monitored wards, which indicates that healthcare professionals in monitored wards are quicker to recognize a cardiac arrest and initiate treatment. When initial CPR guidelines are followed, the place of arrest does not influence patient outcome.

Medical Emergency Team call within 24 h of medical admission with a focus on sepsis: a retrospective review.

BACKGROUND AND AIMS: Clinical deterioration within the first 24 h of patient admission triggering a Medical Emergency Team (MET) call is a common occurrence. A greater understanding of these events, with a focus on the recognition and management of sepsis, could lead to quality improvement interventions. METHODS: A retrospective observational review of general and subspecialty medical admissions triggering a MET call within 24 h of admission at a quaternary Australian hospital. RESULTS: 2648 MET calls occurred (47.9/1000 admissions), 527 (20% of total MET events, 9.5/1000 admissions) within 24 h of admission, with the trigger more likely to be hypotension (odds ratio: 1.5, P = 0.0013). There were 263 MET calls to 217 individual medical patients within 24 h of admission, of which 84 (38.7%) were admitted with suspected infection, 69% of which fulfilled sepsis criteria. Of these, 36.2% received antimicrobial therapy within the recommended timeframe and 39.6% received antibiotics in line with hospital guidelines. Sepsis was initially missed in 11% of patients. Afferent limb failure occurred in 29% of patients with 40.5% experiencing a failure of the ward-based response to deterioration prior to MET call. Median hospital length of stay was increased in patients admitted with suspected infection (7 vs 5 days, P = 0.015) and in those with sepsis not receiving antimicrobial therapy within guideline timeframes (9 vs 4 days, P = 0.017). CONCLUSION: There is a significant opportunity to improve care for patients who trigger a MET within 24 h of admission. This study supports the implementation of a hospital sepsis management guideline.

Frequency of and associations with alterations of medical emergency team calling criteria in a teaching hospital emergency department.

BACKGROUND: Medical emergency team (METs), activated by vital sign-based calling criteria respond to deteriorating patients in the hospital setting. Calling criteria may be altered where clinicians feel this is appropriate. Altered calling criteria (ACC) has not previously been evaluated in the emergency department (ED) setting. OBJECTIVES: The objectives of this study were to (i) describe the frequency of ACC in a teaching hospital ED and the number and type of vital signs that were modified and (ii) associations between ACC in the ED and differences in the baseline patient characteristics and adverse outcomes including subsequent MET activations, unplanned intensive care unit (ICU) admissions and death within 72 h of admission. METHODS: Retrospective observational study of patients presenting to an academic, tertiary hospital ED in Melbourne, Australia between January 1st, 2019 and December 31st, 2019. The primary outcome was frequency and nature of ACC in the ED. Secondary outcomes included differences in baseline patient characteristics, frequency of MET activation, unplanned ICU admission, and mortality in the first 72 h of admission between those with and without ACC in the ED. RESULTS: Amongst 14 159 ED admissions, 725 (5.1%) had ACC, most frequently for increased heart or respiratory rate. ACC was associated with older age and increased comorbidity. Such patients had a higher adjusted risk of MET activation (odds ratio [OR]: 3.14, 95% confidence interval [CI]: 2.50-3.91, p = <0.001), unplanned ICU admission (OR: 1.97, 95% CI: 1.17-3.14, p = 0.016), and death (OR: 3.87, 95% CI: 2.08-6.70, p = 0.020) within 72 h. CONCLUSIONS: ACC occurs commonly in the ED, most frequently for elevated heart and respiratory rates and is associated with worse patient outcomes. In some cases, ACC requires consultant involvement, more frequent vital sign monitoring, expeditious inpatient team review, or ICU referral.

Night-time detection and response in relation to deteriorating inpatients: A scoping review.

BACKGROUND: Although detection and response to clinical deterioration have been studied, the range and nature of studies focused on night-time clinical setting remain unclear. AIM: This study aimed to identify and map existing research and findings concerning night-time detection and response to deteriorating inpatients in usual care or research settings. STUDY DESIGN: A scoping review method was used. PubMed, CINAHL, Web of Science, and Ichushi-Web databases were systematically searched. We included studies focusing on night-time detection and response to clinical deterioration. RESULTS: Twenty-eight studies were included. These studies were organized into five categories: night-time medical emergency team or rapid response team (MET/RRT) response, night-time observation using the early warning score (EWS), available resources for physicians' practice, continuous monitoring of specific parameters, and screening for night-time clinical deterioration. The first three categories were related to interventional measures in usual care settings, and relevant findings mainly demonstrated the actual situation and challenges of night-time practice. The final two categories were related to the interventions in the research settings and included innovative interventions to identify at-risk or deteriorating patients. CONCLUSIONS: Systematic interventional measures, such as MET/RRT and EWS, could have been sub-optimally performed at night. Innovations in monitoring technologies or implementation of predictive models could be helpful in improving the detection of night-time deterioration. RELEVANCE TO CLINICAL PRACTICE: This review provides a compilation of current evidence regarding night-time practice concerning patient deterioration. However, a lack of understanding exists on specific and effective practices regarding timely action for deteriorating patients at night.

Using rapid response system trigger clusters to characterize patterns of clinical deterioration among hospitalized adult patients.

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.