Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning-Based Multimodal Approach.

Background: Early identification of impending in-hospital cardiac arrest (IHCA) improves clinical outcomes but remains elusive for practicing clinicians. Objective: We aimed to develop a multimodal machine learning algorithm based on ensemble techniques to predict the occurrence of IHCA. Methods: Our model was developed by the Multiparameter Intelligent Monitoring of Intensive Care (MIMIC)-IV database and validated in the Electronic Intensive Care Unit Collaborative Research Database (eICU-CRD). Baseline features consisting of patient demographics, presenting illness, and comorbidities were collected to train a random forest model. Next, vital signs were extracted to train a long short-term memory model. A support vector machine algorithm then stacked the results to form the final prediction model. Results: Of 23,909 patients in the MIMIC-IV database and 10,049 patients in the eICU-CRD database, 452 and 85 patients, respectively, had IHCA. At 13 hours in advance of an IHCA event, our algorithm had already demonstrated an area under the receiver operating characteristic curve of 0.85 (95% CI 0.815-0.885) in the MIMIC-IV database. External validation with the eICU-CRD and National Taiwan University Hospital databases also presented satisfactory results, showing area under the receiver operating characteristic curve values of 0.81 (95% CI 0.763-0.851) and 0.945 (95% CI 0.934-0.956), respectively. Conclusions: Using only vital signs and information available in the electronic medical record, our model demonstrates it is possible to detect a trajectory of clinical deterioration up to 13 hours in advance. This predictive tool, which has undergone external validation, could forewarn and help clinicians identify patients in need of assessment to improve their overall prognosis.

Rapid response systems, antibiotic stewardship and medication reconciliation: a scoping review on implementation factors, activities and outcomes.

INTRODUCTION: Many patient safety practices are only partly established in routine clinical care, despite extensive quality improvement efforts. Implementation science can offer insights into how patient safety practices can be successfully adopted. OBJECTIVE: The objective was to examine the literature on implementation of three internationally used safety practices: medication reconciliation, antibiotic stewardship programmes and rapid response systems. We sought to identify the implementation activities, factors and outcomes reported; the combinations of factors and activities supporting successful implementation; and the implications of the current evidence base for future implementation and research. METHODS: We searched Medline, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, PsycINFO and Education Resources Information Center from January 2011 to March 2023. We included original peer-reviewed research studies or quality improvement reports. We used an iterative, inductive approach to thematically categorise data. Descriptive statistics and hierarchical cluster analyses were performed. RESULTS: From the 159 included studies, eight categories of implementation activities were identified: education; planning and preparation; method-based approach; audit and feedback; motivate and remind; resource allocation; simulation and training; and patient involvement. Most studies reported activities from multiple categories. Implementation factors included: clinical competence and collaboration; resources; readiness and engagement; external influence; organisational involvement; QI competence; and feasibility of innovation. Factors were often suggested post hoc and seldom used to guide the selection of implementation strategies. Implementation outcomes were reported as: fidelity or compliance; proxy indicator for fidelity; sustainability; acceptability; and spread. Most studies reported implementation improvement, hindering discrimination between more or less important factors and activities. CONCLUSIONS: The multiple activities employed to implement patient safety practices reflect mainly method-based improvement science, and to a lesser degree determinant frameworks from implementation science. There seems to be an unexploited potential for continuous adaptation of implementation activities to address changing contexts. Research-informed guidance on how to make such adaptations could advance implementation in practice.

An economic evaluation of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) clinical trial.

BACKGROUND: Early recognition and response to clinical deterioration reduce the frequency of in-hospital cardiac arrests, mortality, and unplanned intensive care unit (ICU) admissions. This study aimed to investigate the impact of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) intervention on hospital costs and patient length of stay (LOS). METHOD: The PRONTO cluster randomised control trial was conducted to improve nurses' responses to patients with abnormal vital signs. Hospital data were collected pre-intervention (T0) at 6 months (T1) and 12 months (T2) post-intervention. The economic evaluation involved a cost-consequence analysis from the hospital's perspective. Generalised estimating equations were used to estimate the parameters for regression models of the difference in costs and LOS between study groups and time points. RESULTS: Hospital admission data for 6065 patients (intervention group, 3102; control group, 2963) were collected from four hospitals for T0, T1 and T2. The intervention cost was 69.61 A$ per admitted patient, including the additional intervention training for nurses and associated labour costs. The results showed cost savings and a shorter LOS in the intervention group between T0 - T1 and T0 - T2 (cost differences T0 - T1: -364 (95% CI -3,782; 3049) A$ and T0 - T2: -1,710 (95% CI -5,162; 1,742) A$; and LOS differences T0 - T1: -1.10 (95% CI -2.44; 0.24) days and T0 & T2: -2.18 (95% CI -3.53; -0.82) days). CONCLUSION: The results of the economic analysis demonstrated that the PRONTO intervention improved nurses' responses to patients with abnormal vital signs and significantly reduced hospital LOS by two days at 12 months in the intervention group compared to baseline. From the hospital's perspective, savings from reduced hospitalisations offset the costs of implementing PRONTO.

Emergency critical care: closing the gap between onset of critical illness and intensive care unit admission.

Critical illness is an exquisitely time-sensitive condition and follows a disease continuum, which always starts before admission to the intensive care unit (ICU), in the majority of cases even before hospital admission. Reflecting the common practice in many healthcare systems that critical care is mainly provided in the confined areas of an ICU, any delay in ICU admission of critically ill patients is associated with increased morbidity and mortality. However, if appropriate critical care interventions are provided before ICU admission, this association is not observed. Emergency critical care refers to critical care provided outside of the ICU. It encompasses the delivery of critical care interventions to and monitoring of patients at the place and time closest to the onset of critical illness as well as during transfer to the ICU. Thus, emergency critical care covers the most time-sensitive phase of critical illness and constitutes one missing link in the chain of survival of the critically ill patient. Emergency critical care is delivered whenever and wherever critical illness occurs such as in the pre-hospital setting, before and during inter-hospital transfers of critically ill patients, in the emergency department, in the operating theatres, and on hospital wards. By closing the management gap between onset of critical illness and ICU admission, emergency critical care improves patient safety and can avoid early deaths, reverse mild-to-moderate critical illness, avoid ICU admission, attenuate the severity of organ dysfunction, shorten ICU length of stay, and reduce short- and long-term mortality of critically ill patients. Future research is needed to identify effective models to implement emergency critical care systems in different healthcare systems.

Ward-based in situ simulation: lessons learnt from a UK District General Hospital.

INTRODUCTION: In situ simulation (ISS) enables multiprofessional healthcare teams to train for real emergencies in their own working environment and identify latent patient safety threats. This study aimed to determine ISS impact on teamwork, technical skill performance, healthcare staff perception and latent error identification during simulated medical emergencies. MATERIALS AND METHODS: Unannounced ISS sessions (n=14, n=75 staff members) using a high-fidelity mannequin were conducted in medical, paediatric and rehabilitation wards at Stepping Hill Hospital (Stockport National Health Service Foundation Trust, UK). Each session encompassed a 15 min simulation followed by a 15 min faculty-led debrief. RESULTS: The clinical team score revealed low overall teamwork performances during simulated medical emergencies (mean±SEM: 4.3±0.5). Linear regression analysis revealed that overall communication (r=0.9, p<0.001), decision-making (r=0.77, p<0.001) and overall situational awareness (r=0.73, p=0.003) were the strongest statistically significant predictors of overall teamwork performance. Neither the number of attending healthcare professionals, their professional background, age, gender, degree of clinical experience, level of resuscitation training or previous simulation experience statistically significantly impacted on overall teamwork performance. ISS positively impacted on healthcare staff confidence and clinical training. Identified safety threats included unknown location of intraosseous kits, poor/absent airway management, incomplete A-E assessments, inability to activate the major haemorrhage protocol, unknown location/dose of epinephrine for anaphylaxis management, delayed administration of epinephrine and delayed/absence of attachment of pads to the defibrillator as well as absence of accessing ALS algorithms, poor chest compressions and passive behaviour during simulated cardiac arrests. CONCLUSION: Poor demonstration of technical/non-technical skills mandate regular ISS interventions for healthcare professionals of all levels. ISS positively impacts on staff confidence and training and drives identification of latent errors enabling improvements in workplace systems and resources.

Using Mixed Reality Simulation to Improve Junior Medical Trainees' Preparedness to Manage High-Acuity Trauma.

High-acuity trauma necessitates experienced and rapid intervention to prevent patient harm. However, upskilling junior trainees through hands-on management of real trauma cases is rarely feasible without compromising patient safety. This quality education report sought to investigate whether a simulation course operated via mixed reality (MR) headset devices (Microsoft HoloLens) could enhance the clinical knowledge recall and preparedness to practice of junior trainees with no prior experience managing trauma.The Plan-Do-Study-Act quality improvement method was used to refine six emergency trauma vignettes compatible with an MR teaching platform. Each vignette was curated by a multidisciplinary team of orthopaedic surgeons, clinical fellows and experts in simulation-based medical education. As a baseline assessment, a 2-hour emergency trauma course was delivered using traditional didactic methods to a cohort of pre-registration medical students with no clinical exposure to high-acuity trauma (n=16). Next, we delivered the MR simulation to an equivalent cohort (n=32). Clinical knowledge scores derived from written test papers were recorded for each group during and 2 weeks after each course. Each attendee's end-of-rotation clinical supervisor appraisal grade was recorded, as determined by a consultant surgeon who supervised participants during a 2-week placement on a major trauma ward. Balancing measures included participant feedback and validated cognitive load questionnaires (National Aeronautics and Space Administration-Task Load Index).Overall, attendees of the MR simulation course achieved and sustained higher clinical knowledge scores and were more likely to receive a positive consultant supervisor appraisal. This project serves as a proof of concept that MR wearable technologies can be used to improve clinical knowledge recall and enhance the preparedness to practice of novice learners with otherwise limited clinical exposure to high-acuity trauma.

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.

Patient outcomes following medical emergency team review on general wards: Development of predictive models.

AIM: To develop and internally validate risk prediction models for subsequent clinical deterioration, unplanned ICU admission and death among ward patients following medical emergency team (MET) review. DESIGN: A retrospective cohort study of 1500 patients who remained on a general ward following MET review at an Australian quaternary hospital. METHOD: Logistic regression was used to model (1) subsequent MET review within 48 h, (2) unplanned ICU admission within 48 h and (3) hospital mortality. Models included demographic, clinical and illness severity variables. Model performance was evaluated using discrimination and calibration with optimism-corrected bootstrapped estimates. Findings are reported using the TRIPOD guideline for multivariable prediction models for prognosis or diagnosis. There was no patient or public involvement in the development and conduct of this study. RESULTS: Within 48 h of index MET review, 8.3% (n = 125) of patients had a subsequent MET review, 7.2% (n = 108) had an unplanned ICU admission and in-hospital mortality was 16% (n = 240). From clinically preselected predictors, models retained age, sex, comorbidity, resuscitation limitation, acuity-dependency profile, MET activation triggers and whether the patient was within 24 h of hospital admission, ICU discharge or surgery. Models for subsequent MET review, unplanned ICU admission, and death had adequate accuracy in development and bootstrapped validation samples. CONCLUSION: Patients requiring MET review demonstrate complex clinical characteristics and the majority remain on the ward after review for deterioration. A risk score could be used to identify patients at risk of poor outcomes after MET review and support general ward clinical decision-making. RELEVANCE TO CLINICAL PRACTICE: Our risk calculator estimates risk for patient outcomes following MET review using clinical data available at the bedside. Future validation and implementation could support evidence-informed team communication and patient placement decisions.

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.

The third Medical Emergency Teams - Hospital outcomes in a day (METHOD3) study: The application of quality metrics for rapid response systems around the world.

Aim: This cross-sectional study aimed to assess the readiness of international hospitals to implement consensus-based quality metrics for rapid response systems (RRS) and evaluate the feasibility of collecting these metrics. Methods: A digital survey was developed and distributed to hospital administrators and clinicians worldwide. The survey captured data on the recommended quality metrics for RRS and collected information on hospital characteristics. Statistical analysis included descriptive evaluations and comparisons by country and hospital type. Results: A total of 109 hospitals from 11 countries participated in the survey. Most hospitals had some form of RRS in place, with multiple parameter track and trigger systems being commonly used. The survey revealed variations in the adoption of quality metrics among hospitals. Metrics related to patient-activated rapid response and organizational culture were collected less frequently. Geographical differences were observed, with hospitals in Australia and New Zealand demonstrating higher adoption of core quality metrics. Urban hospitals reported a lower number of recorded metrics compared to metropolitan and rural hospitals. Conclusion: The study highlights the feasibility of collecting consensus-based quality metrics for RRS in international hospitals. However, variations in data collection and adoption of specific metrics suggest potential barriers and the need for further exploration. Standardized quality metrics are crucial for effective RRS functioning and continuous improvement in patient care. Collaborative initiatives and further research are needed to overcome barriers, enhance data collection capabilities, and facilitate knowledge sharing among healthcare providers to improve the quality and safety of RRS implementation globally.

Safety and Effectiveness of Intensive Treatments Administered Outside the Intensive Care Unit to Hematological Critically Ill Patients: An Intensive Care without Walls Trial.

Historically, the admission of hematological patients in the ICU shortly after the start of a critical illness is associated with better survival rates. Early intensive interventions administered by MET could play a role in the management of hematological critically ill patients, eventually reducing the ICU admission rate. In this retrospective and monocentric study, we evaluate the safety and effectiveness of intensive treatments administered by the MET in a medical ward frame. The administered interventions were mainly helmet CPAP and pharmacological cardiovascular support. Frequent reassessment by the MET at least every 8 to 12 h was guaranteed. We analyzed data from 133 hematological patients who required MET intervention. In-hospital mortality was 38%; mortality does not increase in patients not immediately transferred to the ICU. Only three patients died without a former admission to the ICU; in these cases, mortality was not related to the acute illness. Moreover, 37% of patients overcame the critical episode in the hematological ward. Higher SOFA and MEWS scores were associated with a worse survival rate, while neutropenia and pharmacological immunosuppression were not. The MET approach seems to be safe and effective. SOFA and MEWS were confirmed to be effective tools for prognostication.

Improving the management of medical emergency team calls due to suspected infections: A before-after study.

Objective: To introduce a management guideline for sepsis-related MET calls to increase lactate and blood culture acquisition, as well as prescription of appropriate antibiotics. Design: Prospective before (Jun-Aug 2018) and after (Oct-Dec 2018) study was designed. Setting: A public university linked hospital in Melbourne, Australia. Participants: Adult patients with MET calls related to sepsis/infection were included. Main outcome measures: The primary outcome measure was the proportion of MET calls during which both a blood culture and lactate level were ordered. Secondary outcomes included the frequency with which new antimicrobials were commenced by the MET, and the presence and class of administered antimicrobials. Results: There were 985 and 955 MET calls in the baseline and after periods, respectively. Patient features, MET triggers, limitations of treatment and disposition after the MET call were similar in both groups. Compliance with the acquisition of lactates (p = 0.101), respectively. There was a slight reduction in compliance with lactate acquisition in the after period (97% vs 99%; p = 0.06). In contrast, there was a significant increase in acquisition of blood cultures in the after period (69% vs 78%; p = 0.035). Conclusions: Introducing a sepsis management guideline and enhanced linkage with an AMS program increased blood culture acquisition and decreased broad spectrum antimicrobial use but didn't change in-hospital mortality.

Rapid response team activation prior to in-hospital cardiac arrest: Areas for improvements based on a national cohort study.

INTRODUCTION: Rapid response teams (RRTs) are designed to improve the "chain of prevention" of in-hospital cardiac arrest (IHCA). We studied the 30-day survival of patients reviewed by RRTs within 24 hours prior to IHCA, as compared to patients not reviewed by RRTs. METHODS: A nationwide cohort study based on the Swedish Registry of Cardiopulmonary Resuscitation, between January 1st, 2014, and December 31st, 2021. An explorative, hypothesis-generating additional in-depth data collection from medical records was performed in a small subgroup of general ward patients reviewed by RRTs. RESULTS: In all, 12,915 IHCA patients were included. RRT-reviewed patients (n = 2,058) had a lower unadjusted 30-day survival (25% vs 33%, p < 0.001), a propensity score based Odds ratio for 30-day survival of 0.92 (95% Confidence interval 0.90-0.94, p < 0.001) and were more likely to have a respiratory cause of IHCA (22% vs 15%, p < 0.001). In the subgroup (n = 82), respiratory distress was the most common RRT trigger, and 24% of the RRT reviews were delayed. Patient transfer to a higher level of care was associated with a higher 30-day survival rate (20% vs 2%, p < 0.001). CONCLUSION: IHCA preceded by RRT review is associated with a lower 30-day survival rate and a greater likelihood of a respiratory cause of cardiac arrest. In the small explorative subgroup, respiratory distress was the most common RRT trigger and delayed RRT activation was frequent. Early detection of respiratory abnormalities and timely interventions may have a potential to improve outcomes in RRT-reviewed patients and prevent further progress into IHCA.

Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital.

Aim: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. Methods: We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. Results: The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). Conclusion: Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.

A Delphi study to obtain consensus on medical emergency team (MET) stand-down decision making.

AIM: A medical emergency team (MET) stand-down decision is the decision to end a MET response and hand responsibility for the patient back to ward staff for ongoing management. Little research has explored this decision. This study aimed to obtain expert consensus on the essential elements required to make optimal MET call stand-down decisions and the communication required before MET departure. DESIGN: A Delphi design was utilised. METHODS: An expert panel of 10 members were recruited based on their expert knowledge and recent clinical MET responder experience in acute hospital settings. Participants were emailed a consent form and an electronic interactive PDF for each survey. Two rounds were conducted with no attrition between rounds. The CREDES guidance on conducting and reporting Delphi studies was used to report this study. RESULTS: Consensus by an expert panel of 10 MET responders generated essential elements of MET stand-down decisions. Essential elements comprised of two steps: (1) the stand-down decision that was influenced by both the patient situation and the ward/organisational context; and (2) the communication required before actioning stand-down. Communication after the decision required both verbal discussions and written documentation to hand over patient responsibility. Specific patient information, a management plan and an escalation plan were considered essential. CONCLUSION: The Delphi surveys reached consensus on the actions and communication required to stand down a MET call. Passing responsibility back to ward staff after a MET call requires both patient and ward safety assessments, and a clearly articulated patient plan for ward staff. Observation of MET call stand-down decision-making is required to validate the essential elements. IMPLICATION FOR THE PROFESSION AND PATIENT/OR PATIENT CARE: In specifying the essential elements, this study offers clinical and MET staff a process to support the handing over of clinical responsibility from the MET to the ward staff, and clarification of management plans in order to reduce repeat MET calls and improve patient outcomes. IMPACT: Minimal research has been focussed on the decision to hand responsibility back to ward staff so the MET may leave the ward with safety plan in place. This study provided expert consensus to optimise MET stand-down decision-making and the ultimate decision to end a MET call. Communication of agreed patient treatment and escalation plans is recommended before leaving the ward. This study can be used as a checklist for MET responder staff making these decisions and ward staff responsible for post-MET call care. The aim being to reduce the likelihood of potentially preventable repeat deterioration in the MET patient population. REPORTING METHOD: The CREDES guidance on conducting and reporting Delphi studies. PATIENT OR PUBLIC CONTRIBUTION: None.

Dosage and clinical outcomes of medical emergency team and conventional referral mediated unplanned intensive care admissions.

Background: Unplanned intensive care unit (ICU) admission occurs via activation of medical emergency team (MET) and conventional ICU referral (CIR), i.e., ICU consultation. We aimed to compare the dosage, association with unplanned ICU admissions and hospital mortality between MET and CIR systems. Methods: We performed a retrospective, single centre observational study on unplanned ICU admissions from hospital wards between July 2017 and June 2018. We evaluated the dosage (expressed per 1000 admissions) and association of CIR and MET system with unplanned ICU admission using Chi-square test. The relationship (unadjusted and adjusted to Australia and New Zealand risk of death (ANZROD) and lead time) between unplanned ICU admission pathway (MET vs CIR) and hospital mortality was tested by binary logistic regression analysis [Odds ratio (OR) with 95% confidence interval (CI)]. Results: Out of 38,628 patients hospitalised, 679 had unplanned ICU admission (2%) with an ICU admission rate of 18 per 1000 ward admissions. There were 2153 MET and 453 CIR activations, producing a dosage of 56 and 12 per 1000 admissions, respectively. Higher unplanned ICU admission was significantly associated with CIR compared to MET activation (324/453 (71.5%) vs 355/2153 (16.5%) p < 0.001). On binary logistic regression, MET system was significantly associated with higher hospital mortality on unadjusted analysis (OR 1.65 (95% CI: 1.09-2.48) p = 0.02) but not after adjustment with ANZROD and lead time (OR 1.15 (95% CI: 0.71-1.86), p = 0.58). Conclusions: Compared to CIR, MET system had higher dosage but lower frequency of unplanned ICU admissions and lacked independent association with hospital mortality.

Pre-medical emergency team activations - Patient characteristics, outcomes and predictors of deterioration.

BACKGROUND: Pre-medical emergency team (MET) calls are an increasingly common tier of Rapid Response Systems, but the epidemiology of patients who trigger a Pre-MET is not well understoof. OBJECTIVES: This study aims to examine the epidemiology and outcomes of patients who trigger a pre-MET activation and identify risk factors for further deterioration. METHODS: This is a retrospective cohort study of pre-MET activations in a university-affiliated metropolitan hospital in Australia, between 13 April 2021 and 4 October 2021. A multivariable regression model was used to identify variables associated with further deterioration, defined as a MET call or Code Blue within 24 h of pre-MET activation. RESULTS: From a total of 39 664 admissions, there were 7823 pre-MET activations (197.2 per 1000 admissions). Compared to inpatients that did not trigger a pre-MET, the patients were older (68.8 vs 53.8 years, p < 0.001), were more likely to be male (51.0 vs 47.6%, p < 0.001), had an emergency admission (70.1% vs 53.3%, p < 0.001), and were under a medical specialty (63.7 vs 54.9%, p < 0.001). They had a longer hospital length of stay (5.6 vs 0.4 d, p < 0.001) and higher in-hospital mortality (3.4% vs 1.0%, p < 0.001). A pre-MET was more likely to progress to a MET call or Code Blue if it was activated for fever, cardiovascular, neurological, renal, or respiratory criteria (p < 0.001), if the patient was under a paediatric team (p = 0.018), or if there had been a MET call or Code Blue prior to the pre-MET activation (p < 0.001). CONCLUSION: Pre-MET activations affect almost 20% of hospital admissions and are associated with a higher risk of mortality. Certain characteristics may predict further deterioration to a MET call or Code Blue, suggesting the potential for early intervention via clinical decision support systems.

Antecedents to and outcomes for in-hospital cardiac arrests in Australian hospitals with mature medical emergency teams: A multicentre prospective observational study.

BACKGROUND: The epidemiology and predictability of in-hospital cardiac arrests (IHCAs) in hospitals with established medical emergency teams (METs) is underinvestigated. OBJECTIVES: We categorised IHCAs into three categories: "possible suboptimal end-of-life planning" (possible SELP), "potentially predictable", or "sudden and unexpected" using age, Charlson Comorbidity Index, place of residence, functional independence, along with documented vital signs, K+ and HCO3 in the period prior to the IHCA. We also described the differences in characteristics and outcomes amongst these three categories of IHCAs. METHODS: This was a prospective observational study (1st July 2017 to 9th August 2018) of adult (18 years) IHCA patients in wards of seven Australian hospitals with well-established METs. RESULTS: Amongst 152 IHCA patients, 145 had complete data. The number (%) classified as possible SELP, potentially predictable, and sudden and unexpected IHCA was 50 (34.5%), 52 (35.8%), and 43 (29.7%), respectively. Amongst the 52 potentially predictable patients, six (11.5%) had missing vital signs in the preceding 6 hr, 18 (34.6%) breached MET criteria in the prior 24 hr but received no MET call, and 6 (11.5%) had a MET call but remained on the ward. Abnormal K+ and HCO3 was present in 15 of 51 (29.5%) and 13 of 51 (25.5%) of such patients, respectively. The 43 sudden and unexpected IHCA patients were mostly (97.6%) functionally independent and had the lowest median Charlson Comorbidity Index. In-hospital mortality for IHCAs classified as possible SELP, potentially predictable, and sudden and unexpected was 76.0%, 61.5%, and 44.2%, respectively (p = 0.007). Only four of 12 (33.3%) possible SELP survivors had a good functional outcome. CONCLUSIONS: In seven Australian hospitals with mature METs, only one-third of IHCAs were sudden and unexpected. Improving end-of-life care in elderly comorbid patients and enhancing the response to objective signs of deterioration may further reduce IHCAs in the Australian context.

Piloting a Nurse-Led Critical Care Outreach Service to Pre-Empt Medical Emergency Team Calls and Facilitate Staff Learning.

A nurse-led critical care outreach service (NLCCOS) can support staff education and decision making in the wards, managing at-risk patients with ward nurses to avoid further deterioration. We aimed to investigate the characteristics of patients identified as at-risk, the types of treatments they required to prevent deterioration, the education initiated by the NLCCOS, and the perceived experiences of ward nurses. This prospective observational pilot study using mixed methods took place in one medical and one surgical ward at a university hospital in Denmark. Participants were patients nominated as at-risk by head nurses in each ward, the ward nurses, and nurses from the NLCCOS. In total, 100 patients were reviewed, 51 medical and 49 surgical patients, over a six-month period. Most patients (70%) visited by the NLCCOS had a compromised respiratory status, and ward nurses received teaching and advice regarding interventions. Sixty-one surveys were collected from ward nurses on their learning experience. Over 90% (n = 55) of nurses believed they had learned from, and were more confident with, managing patients following the experience. The main educational areas were respiratory therapy, invasive procedures, medications, and benefits of mobilization. Further research needs to measure the impact of the intervention on patient outcomes and MET call frequency over time in larger samples.