scholarly journals Frequency of alterations in qSOFA, SIRS, MEWS and NEWS scores during the emergency department stay in infectious patients: a prospective study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gideon H. P. Latten ◽  
Judith Polak ◽  
Audrey H. H. Merry ◽  
Jean W. M. Muris ◽  
Jan C. Ter Maaten ◽  
...  
Keyword(s):  
Emergency Department ◽  
Respiratory Rate ◽  
Early Warning ◽  
Vital Sign ◽  
Vital Signs ◽  
Early Warning Score ◽  
Suspected Infection ◽  
Prospective Multicentre Study ◽  
Clinical Rules ◽  
Clinical Rule

Abstract Background For emergency department (ED) patients with suspected infection, a vital sign-based clinical rule is often calculated shortly after the patient arrives. The clinical rule score (normal or abnormal) provides information about diagnosis and/or prognosis. Since vital signs vary over time, the clinical rule scores can change as well. In this prospective multicentre study, we investigate how often the scores of four frequently used clinical rules change during the ED stay of patients with suspected infection. Methods Adult (≥ 18 years) patients with suspected infection were prospectively included in three Dutch EDs between March 2016 and December 2019. Vital signs were measured in 30-min intervals and the quick Sequential Organ Failure Assessment (qSOFA) score, the Systemic Inflammatory Response Syndrome (SIRS) criteria, the Modified Early Warning Score and the National Early Warning Score (NEWS) score were calculated. Using the established cut-off points, we analysed how often alterations in clinical rule scores occurred (i.e. switched from normal to abnormal or vice versa). In addition, we investigated which vital signs caused most alterations. Results We included 1433 patients, of whom a clinical rule score changed once or more in 637 (44.5%) patients. In 6.7–17.5% (depending on the clinical rule) of patients with an initial negative clinical rule score, a positive score occurred later during ED stay. In over half (54.3–65.0%) of patients with an initial positive clinical rule score, the score became negative later on. The respiratory rate caused most (51.2%) alterations. Conclusion After ED arrival, alterations in qSOFA, SIRS, MEWS and/or NEWS score are present in almost half of patients with suspected infection. The most contributing vital sign to these alterations was the respiratory rate. One in 6–15 patients displayed an abnormal clinical rule score after a normal initial score. Clinicians should be aware of the frequency of these alterations in clinical rule scores, as clinical rules are widely used for diagnosis and/or prognosis and the optimal moment of assessing them is unknown.

scholarly journals Early warning score using electronically-held data for patients discharged from intensive care units

2020 ◽  
Author(s):  
Marco Pimentel ◽  
Alistair Johnson ◽  
Julie Darbyshire ◽  
Lionel Tarassenko ◽  
David Clifton ◽  
...  
Keyword(s):  
Adverse Event ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Early Warning ◽  
Vital Sign ◽  
Scoring System ◽  
Vital Signs ◽  
Early Warning Score ◽  
Hospital Death ◽  
Icu Discharge

Abstract Rationale. Intensive care units (ICUs) admit the most severely ill patients. Once these patients are discharged from the ICU to a step-down ward, they continue to have their vital signs monitored by nursing staff, with early warning score (EWS) systems being used to identify those at risk of deterioration. Objectives. We report the development and validation of an enhanced continuous scoring system for predicting adverse events, which combines vital signs measured routinely on acute care wards (as used by most EWSs) with a risk score of a future adverse event calculated on discharge from ICU.Methods. A modified Delphi process identified common, and candidate variables frequently collected and stored in electronic records as the basis for a ‘static’ score of the patient’s condition immediately after discharge from the ICU. L1-regularised logistic regression was used to estimate the in-hospital risk of future adverse event. We then constructed a model of physiological normality using vital-sign data from the day of hospital discharge, which is combined with the static score and used continuously to quantify and update the patient’s risk of deterioration throughout their hospital stay. Data from two NHS Foundation Trusts (UK) were used to develop and (externally) validate the model.Measurements and Main Results. A total of 12,394 vital-sign measurements were acquired from 273 patients after ICU discharge for the development set, and 4,831 from 136 patients in the validation cohort. Outcome validation of our model yielded an area under the receiver operating characteristic curve (AUROC) of 0.724 for predicting ICU re-admission or in-hospital death within 24h. It showed an improved performance with respect to other competitive risk scoring systems, including the National EWS (NEWS, 0.653). Conclusion. We showed that a scoring system incorporating data from a patient’s stay in ICU has better performance than commonly-used EWS systems based on vital signs alone.

scholarly journals Using modified early warning score to predict need of lifesaving intervention in adult non-trauma patients in a tertiary state hospital

2018 ◽  
Vol 25 (3) ◽  
pp. 146-151 ◽  
Author(s):  
Leong Shian Peng ◽  
Azhana Hassan ◽  
Aida Bustam ◽  
Muhaimin Noor Azhar ◽  
Rashidi Ahmad
Keyword(s):  
Emergency Department ◽  
Critically Ill ◽  
Early Warning ◽  
Demographic Data ◽  
Vital Signs ◽  
Multivariate Logistic Regression Analysis ◽  
Early Warning Score ◽  
Trauma Patients ◽  
Multivariate Logistic Regression ◽  
Level Of Consciousness

Background: Modified early warning score has been validated in many uses in the emergency department. We propose that the modified early warning score performs well in predicting the need of lifesaving interventions in the emergency department, as a predictor of patients who are critically ill. Objective: The study aims to evaluate the use of modified early warning score in sorting out critically ill patients in the emergency department. Methods: The patients’ demographic data and first vital signs (blood pressure, heart rate, temperature, respiratory rate, and level of consciousness) were collected prospectively. Individual modified early warning score was calculated. The outcome was a patient received one or more lifesaving interventions toward the end of stay in emergency department. Multivariate logistic regression analysis was utilized to assess the association between modified early warning score and other potential predictors with outcome. Results: There are a total of 259 patients enrolled into the study. The optimal modified early warning score in predicting lifesaving intervention was ≥4 with a sensitivity of 95% and specificity of 81%. Modified early warning score ≥4 (odds ratio = 96.97, 95% confidence interval = 11.82–795.23, p < 0.001) was found to significantly increase the risk of receiving lifesaving intervention in the emergency department. Conclusion: Modified early warning score is found to be a good predictor for patients in need of lifesaving intervention in the emergency department.

scholarly journals Examining the utility of the Hamilton early warning scores (HEWS) at triage: Retrospective pilot study in a Canadian emergency department

CJEM ◽  
2017 ◽  
Vol 20 (2) ◽  
pp. 266-274 ◽  
Author(s):  
Steven Skitch ◽  
Benjamin Tam ◽  
Michael Xu ◽  
Laura McInnis ◽  
Anthony Vu ◽  
...  
Keyword(s):  
At Risk ◽  
Emergency Department ◽  
Early Warning ◽  
Vital Signs ◽  
Roc Curves ◽  
Early Warning Score ◽  
Critical Event ◽  
Discriminative Ability ◽  
Early Warning Scores ◽  
Patients At Risk

ABSTRACTObjectivesEarly warning scores use vital signs to identify patients at risk of critical illness. The current study examines the Hamilton Early Warning Score (HEWS) at emergency department (ED) triage among patients who experienced a critical event during their hospitalization. HEWS was also evaluated as a predictor of sepsis.MethodsThe study population included admissions to two hospitals over a 6-month period. Cases experienced a critical event defined by unplanned intensive care unit admission, cardiopulmonary resuscitation, or death. Controls were randomly selected from the database in a 2-to-1 ratio to match cases on the burden of comorbid illness. Receiver operating characteristic (ROC) curves were used to evaluate HEWS as a predictor of the likelihood of critical deterioration and sepsis.ResultsThe sample included 845 patients, of whom 270 experienced a critical event; 89 patients were excluded because of missing vitals. An ROC analysis indicated that HEWS at ED triage had poor discriminative ability for predicting the likelihood of experiencing a critical event 0.62 (95% CI 0.58-0.66). HEWS had a fair discriminative ability for meeting criteria for sepsis 0.77 (95% CI 0.72-0.82) and good discriminative ability for predicting the occurrence of a critical event among septic patients 0.82 (95% CI 0.75-0.90).ConclusionThis study indicates that HEWS at ED triage has limited utility for identifying patients at risk of experiencing a critical event. However, HEWS may allow earlier identification of septic patients. Prospective studies are needed to further delineate the utility of the HEWS to identify septic patients in the ED.

scholarly journals Continuous monitoring in COVID-19 care; a retrospective study in time of crisis

JAMIA Open ◽  
2021 ◽  
Author(s):  
Roy de Ree ◽  
Jorn Willemsen ◽  
Gilbert te Grotenhuis ◽  
Rick de Ree ◽  
Joé Kolkert ◽  
...  
Keyword(s):  
Adverse Events ◽  
Respiratory Rate ◽  
Nursing Staff ◽  
Early Warning ◽  
Wireless Sensors ◽  
Continuous Monitoring ◽  
Vital Signs ◽  
Early Warning Score ◽  
Monitoring Systems ◽  
Patients At Risk

Abstract Background A new monitoring system was implemented to support nursing staff and physicians on the COVID-19 ward. This system was designed to remotely monitor vital signs, to calculate an automated Early Warning Score (aEWS) and to help identify patients at risk of deterioration. Methods Hospitalized patients who tested positive for SARS-CoV-2 were connected to two wireless sensors measuring vital signs. Patients were divided into two groups based on the occurrence of adverse events during hospitalization. Heart and respiratory rate were monitored continuously and an automated EWS was calculated every 5 minutes. Data were compared between groups. Results Prior to the occurrence of adverse events, significantly higher median heart and respiration rate and significantly lower median SPO2 values were observed. Mean and median automated EWS were significantly higher in patients with an adverse event. Conclusion Continuous monitoring systems might help to detect clinical deterioration in COVID-19 patients at an earlier stage. Lay Summary A new monitoring system was implemented to support nursing staff and physicians on the COVID-19 ward. This system was designed to remotely monitor vital signs, like respiratory rate, heart rate and the oxygen level in the blood. These parameters were used to calculate an automated early warning score which helps to identify patients at risk of deterioration. Hospitalized patients who tested positive for SARS-CoV-2 were connected to two wireless sensors. Heart and respiratory rate were monitored continuously and an automated EWS was calculated every 5 minutes. Data were compared between patients at the COVID-19 ward and patients who were transported to the ICU or died. COVID patients at the ICU or those who died had significantly higher median heart and respiration rate and significantly lower median oxygen levels. These findings showed that continuous monitoring systems might help to detect clinical deterioration in COVID-19 patients at an earlier stage.

scholarly journals Feasibility and Accuracy of a Wearable Biosensor Device for Vital Sign Monitoring in Septic Emergency Department Patients in Rwanda

2019 ◽  
Vol 34 (s1) ◽  
pp. s85-s86
Author(s):  
Stephanie Garbern ◽  
Gabin Mbanjumucyo ◽  
Christian Umuhoza ◽  
Vinay Sharma ◽  
James Mackey ◽  
...  
Keyword(s):  
Emergency Department ◽  
Heart Rate ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Vital Signs ◽  
Correlation Coefficients ◽  
University Teaching ◽  
Suspected Sepsis ◽  
The Impact ◽  
Biosensor Device

Introduction:Low and middle-income countries (LMICs) bear a disproportionately high burden of sepsis, contributing to an estimated 90% of global sepsis-related deaths. Critical care capabilities needed for septic patients, such as continuous vital sign monitoring, are often unavailable in LMICs.Aim:This study aimed to assess the feasibility and accuracy of using a small wireless, wearable biosensor device linked to a smartphone, and a cloud analytics platform for continuous vital sign monitoring in emergency department (ED) patients with suspected sepsis in Rwanda.Methods:This was a prospective observational study of adult and pediatric patients (≥ 2 months) with suspected sepsis presenting to Kigali University Teaching Hospital ED. Biosensor devices were applied to patients’ chest walls and continuously recorded vital signs (including heart rate and respiratory rate) for the duration of their ED course. These vital signs were compared to intermittent, manually-collected vital signs performed by a research nurse every 6-8 hours. Pearson’s correlation coefficients were calculated over the study population to determine the correlation between the vital signs obtained from the biosensor device and those collected manually.Results:42 patients (20 adults, 22 children) were enrolled. Mean duration of monitoring with the biosensor device was 34.4 hours. Biosensor and manual vital signs were strongly correlated for heart rate (r=0.87, p<0.001) and respiratory rate (r=0.74 p<0.001). Feasibility issues occurred in 9/42 (21%) patients, although were minor and included biosensor falling off (4.8%), technical/connectivity problems (7.1%), removal by a physician (2.4%), removal for a procedure (2.4%), and patient/parent desire to remove the device (4.8%).Discussion:Wearable biosensor devices can be feasibly implemented and provide accurate continuous vital sign measurements in critically ill pediatric and adult patients with suspected sepsis in a resource-limited setting. Further prospective studies evaluating the impact of biosensor devices on improving clinical outcomes for septic patients are needed.

scholarly journals Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e033301 ◽  
Author(s):  
Farah Shamout ◽  
Tingting Zhu ◽  
Lei Clifton ◽  
Jim Briggs ◽  
David Prytherch ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Early Warning ◽  
Vital Sign ◽  
Vital Signs ◽  
Early Warning Score ◽  
Age Group ◽  
Statistical Distributions ◽  
Composite Outcome ◽  
Emergency Admissions ◽  
Validation Set

ObjectivesEarly warning scores (EWS) alerting for in-hospital deterioration are commonly developed using routinely collected vital-sign data from the whole in-hospital population. As these in-hospital populations are dominated by those over the age of 45 years, resultant scores may perform less well in younger age groups. We developed and validated an age-specific early warning score (ASEWS) derived from statistical distributions of vital signs.DesignObservational cohort study.SettingOxford University Hospitals (OUH) July 2013 to March 2018 and Portsmouth Hospitals (PH) NHS Trust January 2010 to March 2017 within the Hospital Alerting Via Electronic Noticeboard database.ParticipantsHospitalised patients with electronically documented vital-sign observationsOutcomeComposite outcome of unplanned intensive care unit admission, mortality and cardiac arrest.Methods and resultsStatistical distributions of vital signs were used to develop an ASEWS to predict the composite outcome within 24 hours. The OUH development set consisted of 2 538 099 vital-sign observation sets from 142 806 admissions (mean age (SD): 59.8 (20.3)). We compared the performance of ASEWS to the National Early Warning Score (NEWS) and our previous EWS (MCEWS) on an OUH validation set consisting of 581 571 observation sets from 25 407 emergency admissions (mean age (SD): 63.0 (21.4)) and a PH validation set consisting of 5 865 997 observation sets from 233 632 emergency admissions (mean age (SD): 64.3 (21.1)). ASEWS performed better in the 16–45 years age group in the OUH validation set (AUROC 0.820 (95% CI 0.815 to 0.824)) and PH validation set (AUROC 0.840 (95% CI 0.839 to 0.841)) than NEWS (AUROC 0.763 (95% CI 0.758 to 0.768) and AUROC 0.836 (95% CI 0.835 to 0.838) respectively) and MCEWS (AUROC 0.808 (95% CI 0.803 to 0.812) and AUROC 0.833 (95% CI 0.831 to 0.834) respectively). Differences in performance were not consistent in the elder age group.ConclusionsAccounting for age-related vital sign changes can more accurately detect deterioration in younger patients.

scholarly journals P120: Exploring the utility of the Hamilton early warning score at triage: pilot study in a Canadian emergency department

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S118-S118
Author(s):  
S. Skitch ◽  
L. McInnis ◽  
A. Vu ◽  
B. Tam ◽  
M. Xu ◽  
...  
Keyword(s):  
At Risk ◽  
Emergency Department ◽  
Early Warning ◽  
Tertiary Care ◽  
Vital Signs ◽  
Early Warning Score ◽  
Critical Event ◽  
Likelihood Ratios ◽  
Discriminative Ability ◽  
Patients At Risk

Introduction: Early warning scores (EWS) use vital signs to identify patients at risk of critical events as defined by unplanned intensive care unit (ICU) admission, cardiopulmonary resuscitation (CPR), or death. Systems that combine an EWS with a ICU outreach team can improve hospital survival and cardiac arrest rates. Although initially developed for use in ward patients, evidence suggests that EWS are useful in emergency department (ED) patients and may aid in the earlier identification of sepsis. The Hamilton Early Warning Score (HEWS) was recently developed as part of quality improvement process in our health system. The current study examined HEWS at ED triage among a cohort of patients who experienced a critical event during their hospitalization. HEWS were also evaluated as a predictor of sepsis. Methods: Patient were selected from a database of patients admitted to a medical or surgical ward at two tertiary care hospitals over a six-month period. Cases were patients who experienced a critical event during admission and were admitted via the ED. Controls were randomly selected from the database in a two-to-one ratio using an algorithm to match cases based upon burden of comorbid illness. Receiver operator curves (ROC) and likelihood ratios were used to evaluate HEWS at ED triage as a predictor of likelihood of critical deterioration and sepsis. Results: The sample included 845 patients of whom 267 experienced a critical event. The median time to occurrence of critical event from admission was 124 hours. ROC analysis indicated that HEWS at ED triage had poor discriminative ability for predicting likelihood of experiencing a critical event 0.63 [95%CI: 0.58-0.67]. HEWS had fair discriminative ability for predicting likelihood of meeting criteria for sepsis 0.75 [95%CI: 0.71-0.80], and good discriminative ability for predicting likelihood of experiencing a critical event among patients meeting criteria for sepsis 0.80 [95%CI: 0.74-0.86]. Conclusion: This retrospective study indicates that HEWS at ED triage has limited utility for identifying patients at risk of experiencing a critical event. This may be because deterioration commonly occurred days after admission. However, HEWS may have utility as tool for aiding earlier identification of critically ill septic patients. Prospective studies are needed to further delineate the utility of the HEWS in the ED.

scholarly journals Trends in weighted vital signs and the clinical course of 44,531 acutely ill medical patients while in hospital

2015 ◽  
Vol 14 (1) ◽  
pp. 3-9
Author(s):  
John Kellett ◽  
◽  
Alan Murray ◽  
Simon Woodworth ◽  
Wendy Huang ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Rate Increase ◽  
Vital Signs ◽  
The Other ◽  
Early Warning Score ◽  
Medical Patients ◽  
Thunder Bay ◽  
Monitoring Performance

Background: little is known about the changes and trends of individual vital signs during the course of acute illness in hospital. Methods: the weighted points of the VitalPAC Early Warning Score (ViEWS) were assigned to each vital sign value measured on 44,531 acutely ill medical patients while they were hospitalized in the Thunder Bay Regional Health Sciences Centre, Ontario, Canada. These ViEWS weighted vital signs were averaged for every 24 hour period for five days after admission and five days before death or discharge and then combined to obtain an approximation of the trajectory of each vital sign while in hospital. Results: compared with the other vital signs, the ViEWS weighted points for respiratory rate increase the most in patients who died in hospital and decrease the most in survivors. Combining respiratory rate with the weighted points for any of the other vital signs reduced rather than increased their monitoring performance. Conclusion: trends in respiratory rate, measured by observation at the bedside and given a ViEWS weighting is the best predictor of clinical outcome; minor changes predicted clinical outcome several days in advance.

scholarly journals ChroniSense National Early Warning Score Study (CHESS): a wearable wrist device to measure vital signs in hospitalised patients—protocol and study design

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e028219
Author(s):  
Michelle Helena Van Velthoven ◽  
Felicia Adjei ◽  
Dimitris Vavoulis ◽  
Glenn Wells ◽  
David Brindley ◽  
...  
Keyword(s):  
Early Warning ◽  
Vital Sign ◽  
Clinical Decision Making ◽  
Vital Signs ◽  
Early Warning Score ◽  
Individual Parameter ◽  
Standard Clinical Practice ◽  
Reference Number ◽  
Hospitalised Patients ◽  
National Early Warning Score

IntroductionThe National Early Warning Score is used as standard clinical practice in the UK as a track and trigger system to monitor hospitalised patients. Currently, nurses are tasked to take routine vital signs measurements and manually record these on a clinical chart. Wearable devices could provide an easier, reliable, more convenient and cost-effective method of monitoring. Our aim is to evaluate the clinical validity of Polso (ChroniSense Medical, Yokneam Illit, Israel), a wrist-based device, to provide National Early Warning Scores.Methods and analysisWe will compare Polso National Early Warning Score measurements to the currently used manual measurements in a UK Teaching District General Hospital. Patients aged 18 years or above who require recordings of observations of vital signs at least every 6 hours will be enrolled after consenting. The sample size for the study was calculated to be 300 participants based on the assumption that the final dataset will include four pairs of measurements per-patient and per-vital sign, resulting in a total of 1200 pairs of data points per vital sign. The primary outcome is the agreement on the individual parameter scores and values of the National Early Warning Score: (1) respiratory rate, (2) oxygen saturation, (3) body temperature, (4) systolic blood pressure and (5) heart rate. Secondary outcomes are the agreement on the aggregate National Early Warning Score. The incidence of adverse events will be recorded. The measurements by the device will not be used for the clinical decision-making in this study.Ethics and disseminationWe obtained ethical approval, reference number 18/LO/0123 from London—Hampstead Research Ethics Committee, through the Integrated Research Application System, (reference number: 235 034. The study received no objection from the Medicine and Health Regulatory Authority, reference number: CI/20018/005 and has National Institute for Health Research portfolio adoption status CPMS number: 32 532.Trial registration numberNCT03448861; Pre-results.

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