Search

Background: The recently developed deep learning (DL)-based early warning score (DEWS) has shown potential in predicting deteriorating patients. We aimed to validate DEWS in multiple centres and compare the prediction, alarming and timeliness performance with the modified early warning score (MEWS) to identify patients at risk for in-hospital cardiac arrest (IHCA).Method/research Design: This retrospective cohort study included adult patients admitted to the general wards of five hospitals during a 12-month period. The occurrence of IHCA within 24 h of vital sign observation was the outcome of interest. We assessed the discrimination using the area under the receiver operating characteristic curve (AUROC).Results: The study population consists of 173,368 patients (224 IHCAs). The predictive performance of DEWS was superior to that of MEWS in both the internal (AUROC: 0.860 vs. 0.754, respectively) and external (AUROC: 0.905 vs. 0.785, respectively) validation cohorts. At the same specificity, DEWS had a higher sensitivity than MEWS, and at the same sensitivity, DEWS reduced the mean alarm count by nearly half of MEWS. Additionally, DEWS was able to predict more IHCA patients in the 24-0.5 h before the outcome, and DEWS was reasonably calibrated.Conclusion: Our study showed that DEWS was superior to MEWS in three key aspects (IHCA predictive, alarming, and timeliness performance). This study demonstrates the potential of DEWS as an effective, efficient screening tool in rapid response systems (RRSs) to identify high-risk patients. [ABSTRACT FROM AUTHOR]

The National Early Warning Score (NEWS) is used in hospitals across the UK to detect deterioration of patients within care pathways. It is used for most patients, but there are relatively few studies validating its performance in groups of patients with specific conditions. The performance of NEWS was evaluated against 36 other Early Warning Scores, in 123 patient groups, through use of the area under the receiver operating characteristic (AUROC) curve technique, to compare the abilities of each Early Warning Score to discriminate an outcome within 24hrs of vital sign recording. Outcomes evaluated were death, ICU admission, or a combined outcome of either death or ICU admission within 24 hours of an observation set. The National Early Warning Score 2 performs either best or joint best within 120 of the 123 patient groups evaluated and is only outperformed in prediction of unanticipated ICU admission. When outperformed by other Early Warning Scores in the remaining 3 patient groups, the performance difference was marginal. Consistently high performance indicates that NEWS is a suitable early warning score to use for all diagnostic groups considered by this analysis, and patients are not disadvantaged through use of NEWS in comparison to any of the other evaluated Early Warning Scores. [ABSTRACT FROM AUTHOR]

Abstract Aims To compare the ability of the National Early Warning Score (NEWS) and the National Early Warning Score 2 (NEWS2) to identify patients at risk of in-hospital mortality and other adverse outcomes. Methods We undertook a multi-centre retrospective observational study at five acute hospitals from two UK NHS Trusts. Data were obtained from completed adult admissions who were not fit enough to be discharged alive on the day of admission. Diagnostic coding and oxygen prescriptions were used to identify patients with type II respiratory failure (T2RF). The primary outcome was in-hospital mortality within 24 h of a vital signs observation. Secondary outcomes included unanticipated intensive care unit admission or cardiac arrest within 24 h of a vital signs observation. Discrimination was assessed using the c-statistic. Results Among 251,266 adult admissions, 48,898 were identified to be at risk of T2RF by diagnostic coding. In this group, NEWS2 showed statistically significant lower discrimination (c-statistic, 95% CI) for identifying in-hospital mortality within 24 h (0.860, 0.857–0.864) than NEWS (0.881, 0.878-0.884). For 1394 admissions with documented T2RF, discrimination was similar for both systems: NEWS2 (0.841, 0.827-0.855), NEWS (0.862, 0.848–0.875). For all secondary endpoints, NEWS2 showed no improvements in discrimination. Conclusions NEWS2 modifications to NEWS do not improve discrimination of adverse outcomes in patients with documented T2RF and decrease discrimination in patients at risk of T2RF. Further evaluation of the relationship between SpO 2 values, oxygen therapy and risk should be investigated further before wide-scale adoption of NEWS2. [ABSTRACT FROM AUTHOR]

Aim: The National Early Warning System (NEWS) is based on vital signs; the Laboratory Decision Tree Early Warning Score (LDT-EWS) on laboratory test results. We aimed to develop and validate a new EWS (the LDTEWS:NEWS risk index) by combining the two and evaluating the discrimination of the primary outcome of unanticipated intensive care unit (ICU) admission or in-hospital mortality, within 24 h.Methods: We studied emergency medical admissions, aged 16 years or over, admitted to Oxford University Hospitals (OUH) and Portsmouth Hospitals (PH). Each admission had vital signs and laboratory tests measured within their hospital stay. We combined LDT-EWS and NEWS values using a linear time-decay weighting function imposed on the most recent blood tests. The LDTEWS:NEWS risk index was developed using data from 5 years of admissions to PH, and validated on a year of data from both PH and OUH. We tested the risk index's ability to discriminate the primary outcome using the c-statistic.Results: The development cohort contained 97,933 admissions (median age = 73 years) of which 4723 (4.8%) resulted inhospital death and 1078 (1.1%) in unanticipated ICU admission. We validated the risk index using data from PH (n = 21,028) and OUH (n = 16,383). The risk index showed a higher discrimination in the validation sets (c-statistic value (95% CI)) (PH, 0.901 (0.898-0.905); OUH, 0.916 (0.911-0.921)), than NEWS alone (PH, 0.877 (0.873-0.882); OUH, 0.898 (0.893-0.904)).Conclusions: The LDTEWS:NEWS risk index increases the ability to identify patients at risk of deterioration, compared to NEWS alone. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the effectiveness and predictive accuracy of early warning scores (EWS) to predict deteriorating patients in pre-hospital settings.Methods: Systematic review. Seven databases searched to August 2017. Study quality was assessed using QUADAS-2. A narrative synthesis is presented.Eligibility: Studies that evaluated EWS predictive accuracy or that compared outcomes in populations that did or did not use EWS, in any pre-hospital setting were eligible for inclusion. EWS were included if they aggregated three or more physiological parameters.Results: Seventeen studies (157,878 participants) of predictive accuracy were included (16 in ambulance service and 1 in nursing home). AUCs ranged from 0.50 (CI not reported) to 0.89 (95%CI 0.82, 0.96). AUCs were generally higher (>0.80) for prediction of mortality within short time frames or for combination outcomes that included mortality and ICU admission. Few patients with low scores died at any time point. Patients with high scores were at risk of deterioration. Results were less clear for intermediate thresholds (≥4 or 5). Five studies were judged at low or unclear risk of bias, all others were judged at high risk of bias.Conclusions: Very low and high EWS are able to discriminate between patients who are not likely and those who are likely to deteriorate in the pre-hospital setting. No study compared outcomes pre- and post-implementation of EWS so there is no evidence on whether patient outcomes differ between pre-hospital settings that do and do not use EWS. Further studies are required to address this question and to evaluate EWS in pre-hospital settings. [ABSTRACT FROM AUTHOR]

Aim: Deterioration of hospitalised patients is often missed, misinterpreted, and mismanaged. Rapid Response Systems (RRSs) have been proposed to solve this problem. This study aimed to investigate the effect of an RRS on the incidence of unexpected death, cardiac arrest with cardiopulmonary resuscitation (CPR), and unplanned intensive care unit (ICU) admission.Methods: We conducted a stepped wedge cluster randomised controlled trial including 14 Belgian acute care hospitals with two medical and two surgical wards each. The intervention comprised a standardised observation and communication protocol including a pragmatic medical response strategy. Comorbidity and nurse staff levels were collected as potential confounders.Results: Twenty-eight wards of seven hospitals were studied from October 2013 until May 2015 and included in the final analysis. The control group contained 34,267 patient admissions and the intervention group 35,389. When adjusted for clustering and study time, we found no significant difference between the control and intervention group in unexpected death rates (1.5 vs 0.7/1000, OR 0.82, 95%CI 0.34-1.95), cardiac arrest rates (1.3 vs 1.0/1000, OR 0.71, 95%CI 0.33-1.52) or unplanned ICU admissions (6.5 vs 10.3/1000, OR 1.23, 95%CI 0.91-1.65).Conclusion: Our intervention had no significant effect on the incidence of unexpected death, cardiac arrest or unplanned ICU admission when adjusted for clustering and study time. We found a lower than expected baseline incidence of unexpected death and cardiac arrest rates which reduced the statistical power significantly in this study. [ABSTRACT FROM AUTHOR]

To compare the ability of the most used Early Warning Scores (EWS) to identify adult patients at risk of poor outcomes in the emergency department (ED). Single-center, retrospective observational study. We evaluated the digital records of consecutive ED admissions in patients ≥ 18 years from 2010 to 2019 and calculated NEWS, NEWS2, MEWS, RAPS, REMS, and SEWS based on parameters measured on ED arrival. We assessed the discrimination and calibration performance of each EWS in predicting death/ICU admission within 24 hours using ROC analysis and visual calibration. We also measured the relative weight of clinical and physiological derangements that identified patients missed by EWS risk stratification using neural network analysis. Among 225,369 patients assessed in the ED during the study period, 1941 (0.9%) were admitted to ICU or died within 24 hours. NEWS was the most accurate predictor (area under the receiver operating characteristic [AUROC] curve 0.904 [95% CI 0.805–0.913]), followed by NEWS2 (AUROC 0.901). NEWS was also well calibrated. In patients judged at low risk (NEWS < 2), 359 events occurred (18.5% of the total). Neural network analysis revealed that age, systolic BP, and temperature had the highest relative weight for these NEWS-unpredicted events. NEWS is the most accurate EWS for predicting the risk of death/ICU admission within 24 h from ED arrival. The score also had a fair calibration with few events occurring in patients classified at low risk. Neural network analysis suggests the need for further improvements by focusing on the prompt diagnosis of sepsis and the development of practical tools for the measurement of the respiratory rate. [ABSTRACT FROM AUTHOR]

Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital signs. We evaluated inpatient outcomes after implementing an Artificial Intelligence (AI) based intervention in our local EWS. A prior study calculated a Deterioration Index (DI) with logistic regression utilising demographics, vital signs, and laboratory results at multiple time points to predict any major adverse event (MAE—all cause mortality, ICU admission, or medical emergency team activation). The current study is a single hospital, pre-post study in Australia comparing the DI plus the existing EWS (Between the Flags-BTF) to only BTF. Data were collected on all eligible inpatients (≥16 years, admitted ≥24 hours, in general non-palliative wards). Controls were inpatients in the same hospital between January and December 2019. The DI was integrated into the electronic medical record and alerts were sent to senior ward nurse phones (July 2020–April 2021). We enrolled 28,639 patients (median age 73 years, IQR: 60–83) with 52.3% female. The intervention and control groups did not show any statistically significant differences apart from reduced admissions via the emergency department in the intervention group (40.4% vs 41.6%, P = 0.03). Risk for an MAE was lower in intervention than control (RR: 0.81; 95%CI: 0.74–0.89). Length of hospital stay was significantly reduced in the intervention group (3.74 days, IQR 1.84–7.26) compared to the control group (3.86 days, IQR 1.86–7.86, P = 0.002) Implementing the DI in one hospital in Australia was associated with some improved patient outcomes. Future RCTs are needed for further validation. [ABSTRACT FROM AUTHOR]

Aim: The study was developed to characterize short-term outcomes of deteriorating ward patients triggering a Rapid Response Team (RRT), and describe variability between hospitals or groups thereof.Methods: We performed an international prospective study of Rapid Response Team (RRT) activity over a 7-day period in February 2014. Investigators at 51 acute hospitals across Australia, Denmark, the Netherlands, USA and United Kingdom collected data on all patients triggering RRT review concerning the nature, trigger and immediate outcome of RRT review. Further follow-up at 24h following RRT review focused on patient orientated outcomes including need for admission to critical care, change in limitations of therapy and all cause mortality.Results: We studied 1188 RRT activations. Derangement of vital signs as measured by the National Early Warning Score (NEWS) was more common in non-UK hospitals (p=0.03). Twenty four hour mortality after RRT review was 10.1% (120/1188). Urgent transfer to ICU or the operating theatre occurred in 24% (284/1188) and 3% (40/1188) of events, respectively. Patients in the UK were less likely to be admitted to ICU (31% vs. 22%; p=0.017) and their median (IQR) time to ICU admission was longer [4.4 (2.0-11.8) vs. 1.5 (0.8-4.4)h; p<0.001]. RRT involvement lead to new limitations in care in 28% of the patients not transferring to the ICU; in the UK such limitations were instituted in 21% of patients while this occurred in 40% of non-UK patients (p<0.001).Conclusion: Among patients triggering RRT review, 1 in 10 died within 24h; 1 in 4 required ICU admission, and 1 in 4 had new limitations in therapy implemented. We provide a template for an international comparison of outcomes at RRT level. [ABSTRACT FROM AUTHOR]

Aim: To explore whether early warning score (EWS) measurements at 8h intervals is associated with better outcomes than 12h intervals. We hypothesized that the proportion of patients that deteriorated to a higher EWS at 24h after hospital admission would be lower with 8h interval than with 12h interval.Method: This was a pragmatic, ward-level randomized, non-blinded, controlled trial at an urban University hospital. During two six weeks periods acutely admitted surgical and medical patients, with an initial EWS of 0 or 1, were monitored either every 8th hour or every 12th hour. The primary outcome was clinical deterioration 24h post-admission, estimated by the proportion of patients with an EWS≥2 at 24h after the initial EWS on admission.Results: Of 3185 patients screened for eligibility, 1346 patients were included to the trial. Forty-nine percent were allocated to the 8h group and 51% to the 12h group; of these, 23% and 20% had an elevated EWS≥2 at 24h, respectively (p=0.456), OR 1.17 (0.78-1.76); 3.4% and 2.2%, respectively had an EWS≥5 (p=0.391), and one patient in each group had an EWS≥7 at 24h (p=1.0). Multiple logistic regression analysis showed no significant interactions for the primary outcome and the predefined variables: age, gender, ward type, and inclusion period, with an adjusted OR 1.20 (0.79-1.82). There were no significant differences in regard to the secondary outcomes: cardiac arrests, ICU admissions, review by medical emergency team (MET), length of hospital stay, or elevated EWS at 48 h. Thirty-day mortality was 1.1% vs. 1.8% (p=0.357) in the 8h group and the 12h-group, respectively (OR=0.60 (0.23-1.50), p=0.279).Conclusion: We found no significant reduction in the proportion of clinical deterioration with monitoring frequencies of 3 vs. 2 times daily among patients acutely admitted to a surgical or medical ward and an initial EWS of 0-1. [ABSTRACT FROM AUTHOR]

Introduction Early warning scores are commonly used in hospitals to identify patients at risk of deterioration. The National Early Warning Score (NEWS) has recently been introduced to UK practice. However, it is not yet widely implemented. We aimed to compare NEWS to the early warning score currently used in our hospital – the Patient at Risk Score (PARS). Methods We conducted a prospective observational cohort study of all adult general medical patients admitted to a single hospital over a 20-day period. Physiological data and early warning scores recorded in bedside charts were collected on admission and a NEWS score was retrospectively calculated. The patient notes were reviewed at 48 h after admission. The primary outcome was a composite of critical care admission or death within 2 days of admission. The secondary outcome was hospital length of stay. Results NEWS was more strongly associated with the primary outcome than PARS (odds ratio 1.54, p < 0.001 compared to 1.42, p = 0.056). A NEWS of 3 or more was associated with the primary outcome (odds ratio 7.03, p = 0.003). Neither score was correlated with hospital length of stay. Conclusion NEWS on admission is superior to PARS for identifying patients at risk of death or critical care admission within the first 2 days of hospital stay. Current guidelines advocate a threshold of 5 for triggering a clinical review. However, since a score of 3 or more was associated with a poor outcome, this recommendation should be reviewed. Both scores were poor predictors of hospital length of stay. [ABSTRACT FROM AUTHOR]

Introduction Sicker patients generally have more vital sign assessments, particularly immediately before an adverse outcome, and especially if the vital sign monitoring schedule is driven by an early warning score (EWS) value. This lack of independence could influence the measured discriminatory performance of an EWS. Methods We used a population of 1564,143 consecutive vital signs observation sets collected as a routine part of patients’ care. We compared 35 published EWSs for their discrimination of the risk of death within 24 h of an observation set using (1) all observations in our dataset, (2) one observation per patient care episode, chosen at random and (3) one observation per patient care episode, chosen as the closest to a randomly selected point in time in each episode. We compared the area under the ROC curve (AUROC) as a measure of discrimination for each of the 35 EWSs under each observation selection method and looked for changes in their rank order. Results There were no significant changes in rank order of the EWSs based on AUROC between the different observation selection methods, except for one EWS that included age among its components. Whichever method of observation selection was used, the National Early Warning Score (NEWS) showed the highest discrimination of risk of death within 24 h. AUROCs were higher when only one observation set was used per episode of care (significantly higher for many EWSs, including NEWS). Conclusions Vital sign measurements can be treated as if they are independent – multiple observations can be used from each episode of care – when comparing the performance and ranking of EWSs, provided no EWS includes age. [ABSTRACT FROM AUTHOR]

Background Several triage systems have been developed for use in the emergency department (ED), however they are not designed to detect deterioration in patients. Deteriorating patients may be at risk of going undetected during their ED stay and are therefore vulnerable to develop serious adverse events (SAEs). The National Early Warning Score (NEWS) has a good ability to discriminate ward patients at risk of SAEs. The utility of NEWS had not yet been studied in an ED. Objective To explore the performance of the NEWS in an ED with regard to predicting adverse outcomes. Design A prospective observational study. Patients Eligible patients were those presenting to the ED during the 6 week study period with an Emergency Severity Index (ESI) of 2 and 3 not triaged to the resuscitation room. Intervention NEWS was documented at three time points: on arrival (T0), hour after arrival (T1) and at transfer to the general ward/ICU (T2). The outcomes of interest were: hospital admission, ICU admission, length of stay and 30 day mortality. Results A total of 300 patients were assessed for eligibility. Complete data was able to be collected for 274 patients on arrival at the ED. NEWS was significantly correlated with patient outcomes, including 30 day mortality, hospital admission, and length of stay at all-time points. Conclusion The NEWS measured at different time points was a good predictor of patient outcomes and can be of additional value in the ED to longitudinally monitor patients throughout their stay in the ED and in the hospital. [ABSTRACT FROM AUTHOR]

Aim To evaluate the performance of a new early warning score (EWS) system by reviewing all serious adverse events in our hospital over a 6-month time period. Method All incidents of unexpected death (UD), cardiac arrest (CA) and unanticipated intensive care unit admission(UICU) of adult patients on general wards were reviewed to see if the escalation protocol that is part of the EWS system was followed in the 24 h preceding the event, and if not where in the chain of events failure occurred. Results We found 77 UICU and 67 cases of the combined outcome (CO) of CA and UD. At least two full sets of EWS were recorded in 87, 94 and 75% of UICU, CA and UD. Patients were monitored according to the escalation protocol in 13, 31 and 13% of UICU, CA and UD. Nurses escalated care and contacted physicians in 64% and 60% of events of UICU and the corresponding proportions for CO were 58% and 55%. On call physicians provided adequate care in 49% of cases of UICU and 29% of cases of the CO. Senior staff was involved according to protocol in 53% and 36% of cases of UICU and CO, respectively. Conclusion Poor compliance with the escalation protocol was commonly found when serious adverse events occurred but level of care provided by physicians was also a problem in a hospital with implemented early warning system. This information may prove useful in improving performance of EWS systems. [ABSTRACT FROM AUTHOR]

Abstract: Background: Acute deterioration in critical ill patients is often preceded by changes in physiological parameters, such as pulse, blood pressure, temperature and respiratory rate. If these changes in the patient's vital parameters are recognized early, excess mortality and serious adverse events (SAEs) such as cardiac arrest may be prevented. The Early Warning Score (EWS) is a scoring system which assists with the detection of physiological changes and may help identify patients at risk of further deterioration. Objectives: The aim of this systematic review is to evaluate the impact of the use of the Early Warning Score (EWS) on particular patient outcomes, such as in-hospital mortality, patterns of intensive care unit admission and usage, length of hospital stay, cardiac arrests and other serious adverse events of adult patients on general wards and in medical admission units. Design and setting: Systematic review of studies identified from the bibliographic databases of PubMed, EMBASE.com and The Cochrane Library. Selection criteria: All controlled studies which measured in-hospital mortality, ICU mortality, serious adverse events (SAEs), cardiopulmonary arrest, length of stay and documentation of physiological parameters which used a EWS on the ward or the emergency department to identify patients at risk were included in the review. Data collection and analysis: Three reviewers (NA, AT and EH) independently screened all potentially relevant titles and abstracts for eligibility, by using a standardized data-worksheet. Meta-analysis was not possible due to heterogeneity. Main results: Seven studies met the inclusion criteria. The results of our included studies were mixed, with a positive trend towards better clinical outcomes following the introduction of the EWS chart, sometimes coupled with an outreach service. Six of the seven included studies used mortality as an endpoint: two of these studies reported no significant difference in in-hospital mortality rate; two found a significant reduction of in-hospital mortality; two other studies described a trend towards improved survival. Although, both ICU mortality and serious adverse events were not significantly improved, there was a trend towards reduction of these endpoints after introduction of the EWS. However only two studies looked respectively at each endpoint. There were conflicting results concerning cardiopulmonary arrests. One study found a reduction in the incidence of cardiac arrest calls as well as in the mortality of patients who underwent CPR, while another one found an increased incidence of cardio-pulmonary arrests. Neither study met all methodological quality criteria. Conclusion: The EWS itself is a simple and easy to use tool at the bedside, which may be of help in recognizing patients with potential for acute deterioration. Coupled with an outreach service, it may be used to timely initiate adequate treatment upon recognition, which may influence the clinical outcomes positively. However, the use of adapted forms of the EWS together with different thresholds, poor or inadequate methodology makes it difficult in drawing comparisons. A general conclusion can thus not be generated from the lack of use of a single standardized score and the use of different populations. In future large multi-centre trials using one standardized score are needed also in order to facilitate comparison. [Copyright &y& Elsevier]

Abstract: Introduction: Early Warning Scores (EWS) are widely used for early recognition of patient deterioration. Automated alarm/alerts have been recommended as a desirable characteristic for detection systems of patient deterioration. We undertook a comparative analysis of performance characteristics of common EWS methods to assess how they would function if automated. Methods: We evaluated the most widely used EWS systems (MEWS, SEWS, GMEWS, Worthing, ViEWS and NEWS) and the Rapid Response Team (RRT) activation criteria in use in our institution. We compared their ability to predict the composite outcome of Resuscitation call, RRS activation or unplanned transfer to the ICU, in a time-dependent manner (3, 8, 12, 24 and 36h after the observation) by determining the sensitivity, specificity and positive predictive values (PPV). We used a large vital signs database (6,948,689 unique time points) from 34,898 unique consecutive hospitalized patients. Results: PPVs ranged from less than 0.01 (Worthing, 3h) to 0.21 (GMEWS, 36h). Sensitivity ranged from 0.07 (GMEWS, 3h) to 0.75 (ViEWS, 36h). Used in an automated fashion, these would correspond to 1040–215,020 false positive alerts per year. Conclusions: When the evaluation is performed in a time-sensitive manner, the most widely used weighted track-and-trigger scores do not offer good predictive capabilities for use as criteria for an automated alarm system. For the implementation of an automated alarm system, better criteria need to be developed and validated before implementation. [Copyright &y& Elsevier]

Abstract: Background: For critical care to be effective it must have a system in place to achieve optimal care for the deteriorating ward patient. Objectives: To systematically review the available literature to assess whether either early warning systems or emergency response teams improve hospital survival. In the event of there being a lack of evidence regarding hospital survival, secondary outcome measures were considered (unplanned ICU admissions, ICU mortality, length of ICU stay, length of hospital stay, cardiac arrest rates). Methods: The Ovid Medline, EMBASE, CINAHL, Web of Science, Cochrane library and NHS databases were searched in September 2012 along with non-catalogued resources for papers examining the effect of early warning systems or emergency response teams on hospital survival. Inclusion criteria were original clinical trials and comparative studies in adult inpatients that assessed either an early warning system or emergency response team against any of the predefined outcome measures. Exclusion criteria were previous systematic reviews, non-English abstracts and studies incorporating paediatric data. Studies were arranged in to sections focusing on the following interventions: Early warning systems [-] Single parameter systems [-] Aggregate weighted scoring systems (AWSS) Emergency response teams [-] Medical emergency teams [-] Multidisciplinary outreach services In each section an appraisal of the level of evidence and a recommendation has been made using the SIGN grading system. Results: 43 studies meeting the review criteria were identified and included for analysis. 2 studies assessed single parameter scoring systems and 4 addressed aggregate weighted scoring systems. A total of 20 studies examined medical emergency teams and 22 studies examined multidisciplinary outreach teams. Limitations: The exclusion of non English studies and those including paediatric patients does limit the applicability of this review. Conclusions: Much of the available evidence is of poor quality. It is clear that a ‘whole system’ approach should be adopted and that AWSS appear to be more effective than single parameter systems. The response to deterioration appears most effective when a clinician with critical care skills leads it. The need for service improvement differs between health care systems. [Copyright &y& Elsevier]

Abstract: Objective: To review current systems for recognising and responding to clinically deteriorating patients in all New Zealand public hospitals. Design: A cross-sectional study of recognition and response systems in all New Zealand public hospitals was conducted in October 2011. Copies of all current vital sign charts and/or relevant policies were requested. These were examined for vital sign based recognition and response systems. The charts or policies were also used to determine the type of system in use and the vital sign parameters and trigger thresholds that provoke a call to the rapid response team. Setting: All New Zealand District Health Boards (DHBs). Main outcome measures: Physiological parameters used to trigger rapid response, the weighting of any early warning score assigned to them, type of system used, values of physiological derangement that trigger maximal system response. Results: All DHBs use aggregate scoring systems to assess deterioration and respond. A total of 9 different physiological parameters were scored with most charts (21%) scoring 6 different parameters. All scored respiratory rate, heart rate, systolic blood pressure and conscious level. 86% scored oliguria, 14% polyuria, 33% oxygen saturation and 24% oxygen administration. All systems used either aggregate scores or a single extreme parameter to elicit a maximal system response. The extremes of physiological derangement to which scores were assigned varied greatly with bradypnoea having the greatest range for what was considered grossly abnormal. Conclusion: A large variance exists in the criteria used to detect deteriorating patients within New Zealand hospitals. Standardising both the vital signs chart and escalation criteria is likely to be of significant benefit in the early detection of and response to patient deterioration. [Copyright &y& Elsevier]

Aim: To determine whether the implementation of a Reading-Modified Early Warning Scoring (R-MEWS) system, is associated with an increased recording of respiratory rate (RR) in hospital inpatients, and whether the presence of a critical care outreach (CCO) service has a further impact on the recording of patient's vital signs. Method: Five annual point prevalence surveys of all adult, non-obstetric acute inpatients (n=2638) in two Hospitals (A and B) were carried out between 2001 and 2005. The R-MEWS system was implemented incrementally in both hospitals to include all study group patients, but a CCO service was only available in Hospital A. Data were collected on numbers of patients, routinely documented physiological observations and R-MEW score. Results: Respiratory rate (RR) recording increased from 6.0% in the first survey to 77.9% in the last, which correlated with the incremental implementation of the R-MEWS system. Hospital A that had the CCO service showed a greater increase in RR recording than Hospital B with no CCO service. Conclusion: The introduction of an early warning scoring (EWS) was associated with improved respiratory rate recording, which may have been further enhanced by the presence of a CCO service. [ABSTRACT FROM AUTHOR]

Abstract: Background: The National Early Warning Score (NEWS) is being introduced across the UK, but there are concerns about its specificity in patients with chronic hypoxaemia, such as some patients with COPD. This could lead to frequent clinically insignificant triggers and alarm fatigue. Aims of study: To investigate whether patients with chronic hypoxaemia trigger excessively with NEWS, and to design a simple variant of NEWS for patients with chronic hypoxaemia: a Chronic Respiratory Early Warning Score (CREWS). Methods: Data was collected from respiratory wards at two hospitals in North Wales. Components of NEWS and frequency of trigger thresholds being reached were recorded. CREWS was applied retrospectively to patients’ observations. Results: 196 admissions were analysed, including 78 for patients with chronic hypoxaemia. Patients with chronic hypoxaemia frequently exceeded trigger thresholds using NEWS during periods of stability/at discharge. Using CREWS, triggers during stability/at discharge were reduced from 32% of observations to 14% using a trigger threshold of a score greater than 6, and from 50% to 18% using a score greater than 5. All patients with chronic hypoxaemia who died within 30 days still reached CREWS trigger thresholds, and the area under receiver operated curves for NEWS and CREWS was comparable. Conclusion: CREWS is a simple variant of NEWS for patients with chronic hypoxaemia that could reduce clinically insignificant triggers and alarm fatigue, whilst still identifying the sickest patients. [Copyright &y& Elsevier]

Abstract: The ‘chain of survival’ has been a useful tool for improving the understanding of, and the quality of the response to, cardiac arrest for many years. In the 2005 European Resuscitation Council Guidelines the importance of recognising critical illness and preventing cardiac arrest was highlighted by their inclusion as the first link in a new four-ring ‘chain of survival’. However, recognising critical illness and preventing cardiac arrest are complex tasks, each requiring the presence of several essential steps to ensure clinical success. This article proposes the adoption of an additional chain for in-hospital settings – a ‘chain of prevention’ – to assist hospitals in structuring their care processes to prevent and detect patient deterioration and cardiac arrest. The five rings of the chain represent ‘staff education’, ‘monitoring’, ‘recognition’, the ‘call for help’ and the ‘response’. It is believed that a ‘chain of prevention’ has the potential to be understood well by hospital clinical staff of all grades, disciplines and specialties, patients, and their families and friends. The chain provides a structure for research to identify the importance of each of the various components of rapid response systems. [ABSTRACT FROM AUTHOR]