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      Multicentre validation of the bedside paediatric early warning system score: a severity of illness score to detect evolving critical illness in hospitalised children

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          Abstract

          Introduction

          The timely provision of critical care to hospitalised patients at risk for cardiopulmonary arrest is contingent upon identification and referral by frontline providers. Current approaches require improvement. In a single-centre study, we developed the Bedside Paediatric Early Warning System (Bedside PEWS) score to identify patients at risk. The objective of this study was to validate the Bedside PEWS score in a large patient population at multiple hospitals.

          Methods

          We performed an international, multicentre, case-control study of children admitted to hospital inpatient units with no limitations on care. Case patients had experienced a clinical deterioration event involving either an immediate call to a resuscitation team or urgent admission to a paediatric intensive care unit. Control patients had no events. The scores ranged from 0 to 26 and were assessed in the 24 hours prior to the clinical deterioration event. Score performance was assessed using the area under the receiver operating characteristic (AUCROC) curve by comparison with the retrospective rating of nurses and the temporal progression of scores in case patients.

          Results

          A total of 2,074 patients were evaluated at 4 participating hospitals. The median (interquartile range) maximum Bedside PEWS scores for the 12 hours ending 1 hour before the clinical deterioration event were 8 (5 to 12) in case patients and 2 (1 to 4) in control patients ( P < 0.0001). The AUCROC curve (95% confidence interval) was 0.87 (0.85 to 0.89). In case patients, mean scores were 5.3 at 20 to 24 hours and 8.4 at 0 to 4 hours before the event ( P < 0.0001). The AUCROC curve (95% CI) of the retrospective nurse ratings was 0.83 (0.81 to 0.86). This was significantly lower than that of the Bedside PEWS score ( P < 0.0001).

          Conclusions

          The Bedside PEWS score identified children at risk for cardiopulmonary arrest. Scores were elevated and continued to increase in the 24 hours before the clinical deterioration event. Prospective clinical evaluation is needed to determine whether this score will improve the quality of care and patient outcomes.

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          Most cited references23

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          First documented rhythm and clinical outcome from in-hospital cardiac arrest among children and adults.

          Cardiac arrests in adults are often due to ventricular fibrillation (VF) or pulseless ventricular tachycardia (VT), which are associated with better outcomes than asystole or pulseless electrical activity (PEA). Cardiac arrests in children are typically asystole or PEA. To test the hypothesis that children have relatively fewer in-hospital cardiac arrests associated with VF or pulseless VT compared with adults and, therefore, worse survival outcomes. A prospective observational study from a multicenter registry (National Registry of Cardiopulmonary Resuscitation) of cardiac arrests in 253 US and Canadian hospitals between January 1, 2000, and March 30, 2004. A total of 36,902 adults (> or =18 years) and 880 children (<18 years) with pulseless cardiac arrests requiring chest compressions, defibrillation, or both were assessed. Cardiac arrests occurring in the delivery department, neonatal intensive care unit, and in the out-of-hospital setting were excluded. Survival to hospital discharge. The rate of survival to hospital discharge following pulseless cardiac arrest was higher in children than adults (27% [236/880] vs 18% [6485/36,902]; adjusted odds ratio [OR], 2.29; 95% confidence interval [CI], 1.95-2.68). Of these survivors, 65% (154/236) of children and 73% (4737/6485) of adults had good neurological outcome. The prevalence of VF or pulseless VT as the first documented pulseless rhythm was 14% (120/880) in children and 23% (8361/36,902) in adults (OR, 0.54; 95% CI, 0.44-0.65; P<.001). The prevalence of asystole was 40% (350) in children and 35% (13 024) in adults (OR, 1.20; 95% CI, 1.10-1.40; P = .006), whereas the prevalence of PEA was 24% (213) in children and 32% (11,963) in adults (OR, 0.67; 95% CI, 0.57-0.78; P<.001). After adjustment for differences in preexisting conditions, interventions in place at time of arrest, witnessed and/or monitored status, time to defibrillation of VF or pulseless VT, intensive care unit location of arrest, and duration of cardiopulmonary resuscitation, only first documented pulseless arrest rhythm remained significantly associated with differential survival to discharge (24% [135/563] in children vs 11% [2719/24,987] in adults with asystole and PEA; adjusted OR, 2.73; 95% CI, 2.23-3.32). In this multicenter registry of in-hospital cardiac arrest, the first documented pulseless arrest rhythm was typically asystole or PEA in both children and adults. Because of better survival after asystole and PEA, children had better outcomes than adults despite fewer cardiac arrests due to VF or pulseless VT.
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            Clinical antecedents to in-hospital cardiopulmonary arrest.

            While the outcome of in-hospital cardiopulmonary arrest has been studied extensively, the clinical antecedents of arrest are less well defined. We studied a group of consecutive general hospital ward patients developing cardiopulmonary arrest. Prospectively determined definitions of underlying pathophysiology, severity of underlying disease, patient complaints, and clinical observations were used to determine common clinical features. Sixty-four patients arrested 161 +/- 26 hours following hospital admission. Pathophysiologic alterations preceding arrest were classified as respiratory in 24 patients (38 percent), metabolic in 7 (11 percent), cardiac in 6 (9 percent), neurologic in 4 (6 percent), multiple in 17 (27 percent), and unclassified in 6 (9 percent). Patients with multiple disturbances had mainly respiratory (39 percent) and metabolic (44 percent) disorders. Fifty-four patients (84 percent) had documented observations of clinical deterioration or new complaints within eight hours of arrest. Seventy percent of all patients had either deterioration of respiratory or mental function observed during this time. Routine laboratory tests obtained before arrest showed no consistent abnormalities, but vital signs showed a mean respiratory rate of 29 +/- 1 breaths per minute. The prognoses of patients' underlying diseases were classified as ultimately fatal in 26 (41 percent), nonfatal in 23 (36 percent), and rapidly fatal in 15 (23 percent). Five patients (8 percent) survived to hospital discharge. Patients developing arrest on the general hospital ward services have predominantly respiratory and metabolic derangements immediately preceding their arrests. Their underlying diseases are generally not rapidly fatal. Arrest is frequently preceded by a clinical deterioration involving either respiratory or mental function. These features and the high mortality associated with arrest suggest that efforts to predict and prevent arrest might prove beneficial.
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              A comparison of antecedents to cardiac arrests, deaths and emergency intensive care admissions in Australia and New Zealand, and the United Kingdom--the ACADEMIA study.

              Many patients have physiological deterioration prior to cardiac arrest, death and intensive care unit (ICU) admission, that are detected and documented by medical and nursing staff. Appropriate early response to detected deterioration is likely to benefit patients. In a multi-centre, prospective, observational study over three consecutive days, we studied the incidence of antecedents (serious physiological abnormalities) preceding primary events (defined as in-hospital deaths, cardiac arrests, and unanticipated ICU admissions) in 90 hospitals (69 United Kingdom [UK]; 19 Australia and 2 New Zealand [ANZ]). 68 hospitals reported primary events during the three-day study period (50 United Kingdom, 16 Australia and 2 New Zealand). Data on the availability of ICU/HDU beds and cardiac arrest teams and Medical Emergency Teams were also collected. Of 638 primary events, there were 308 (48.3%) deaths, 141 (22.1%) cardiac arrests, and 189 (29.6%) unplanned ICU admissions. There were differences in the pattern of primary events between the UK and ANZ (P < 0.001). There were proportionally more deaths in the UK (52.3% versus 35.3%) and a higher number of unplanned ICU admissions in ANZ (47.3% versus 24.2%). Sixty percent (383) of primary events had a total of 1032 documented antecedents. The most common antecedents were hypotension and a fall in Glasgow Coma Scale. The proportion of ICU/HDU to general hospital beds was greater in ANZ (0.034 versus 0.016, P < 0.001) and medical emergency teams were more common in ANZ (70.0% versus 27.5%, P = 0.001). The data confirm antecedents are common before death, cardiac arrest, and unanticipated ICU admission. The study also shows differences in patterns of primary events, the provision of ICU/HDU beds and resuscitation teams, between the UK and ANZ. Future research, focusing upon the relationship between service provision and the pattern of primary events, is suggested.
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                Author and article information

                Journal
                Crit Care
                Crit Care
                Critical Care
                BioMed Central
                1364-8535
                1466-609X
                2011
                3 August 2011
                : 15
                : 4
                : R184
                Affiliations
                [1 ]Department of Critical Care Medicine, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
                [2 ]Child Health Evaluative Sciences Program of The Research Institute, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
                [3 ]Centre for Safety Research, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
                [4 ]Department of Paediatrics, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
                [5 ]Department of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada
                [6 ]Institute of Medical Science, 7213 Medical Sciences Building, 1 King's College Circle, University of Toronto, Toronto, ON, M5S 1A8, Canada
                [7 ]Interdepartmental Division of Critical Care Medicine, University of Toronto, 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
                [8 ]Centre for Patient Safety, University of Toronto, 525 University Avenue, Toronto, ON, M5G 1X8, Canada
                [9 ]Department of Paediatric Intensive Care, Birmingham Children's Hospital, Steelhouse Lane, Birmingham, B4 6NH, UK
                [10 ]Department of Pediatrics, University of Alberta, 8440 112 Street, Edmonton, AB, T6G 2B7, Canada
                [11 ]Department of Pediatrics, Stollery Children's Hospital, 8440 112 Street, Edmonton, AB, T6G 2B7, Canada
                [12 ]Department of Pediatrics, CHU Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1C5, Canada
                [13 ]Neurosciences and Mental Health Program of The Research Institute, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
                [14 ]Department of Paediatrics, University of British Columbia, 4480 Oak Street, Vancouver, BC, V6H 3V4, Canada
                [15 ]Program in Population Genomics, Department of Clinical Epidemiology & Biostatistics, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
                [16 ]Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada
                Article
                cc10337
                10.1186/cc10337
                3387627
                21812993
                c838ca0d-989e-4db6-a1cb-850363ca80ed
                Copyright ©2011 Parshuram et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 8 January 2011
                : 28 April 2011
                : 30 June 2011
                Categories
                Research

                Emergency medicine & Trauma
                Emergency medicine & Trauma

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