Trajectories of the averaged abbreviated Vitalpac™ early warning score (AbEWS) and clinical course of 44,531 consecutive admissions hospitalized for acute medical illness

Make vital signs great again - A call for action

Vital signs are the simplest, cheapest and probably the most important information gathered on patients in hospital. In this narrative review we present a large amount of evidence that vital signs are currently little valued, not regularly or accurately recorded, and frequently not acted on appropriately. It is probable that few hospitals would keep their accreditation with regulatory bodies if they collected and acted on their laboratory results in the same way that they collect and act on vital signs. Professional societies and regulatory bodies need to address this issue: if vital signs were more accurately and frequently measured, and acted on promptly and appropriately hospital care would be safer, better and cheaper.

Modified Early Warning Score and VitalPac Early Warning Score in geriatric patients admitted to emergency department

OBJECTIVE

The aim of this study was to evaluate the value of the Modified Early Warning Score (MEWS) and the VitalPac Early Warning Score (VIEWS) in predicting hospitalization and in-hospital mortality in geriatric emergency department (ED) patients.

PATIENTS AND METHODS

This prospective, single-centered observational study was carried out over 1 month at the ED of a university hospital in patients 65 years of age and older presenting to the ED. The vital parameters of the patients measured on admission to ED were recorded. The MEWS and VIEWS were calculated using the recorded physiological parameters of the patients. Hospitalization and in-hospital mortality were used as the primary outcomes.

RESULTS

A total of 671 patients included in the study. The median age of the patients was 75 (11) years, and 375 (55.9%) were men. The MEWS is effective for discriminating patient groups that have been discharged from ED, admitted to a ward and admitted to ICU [1 (2) vs. 1 (1) vs. 3 (3), respectively, P<0.001]. The VIEWS is also effective for discriminating patient groups that have been discharged from ED, admitted to a ward, and admitted to ICU [2 (3) vs. 5 (5) vs. 8 (8), respectively, P<0.001]. The AUCs of the MEWS and VIEWS were 0.727 [95% confidence interval (CI) 0.689-0.765] and 0.756 (95% CI 0.720-0.792) in predicting hospitalization, respectively. The AUCs of the MEWS and VIEWS were 0.891 (95% CI 0.844-0.937) and 0.900 (95% CI 0.860-0.941) in predicting in-hospital mortality, respectively.

CONCLUSION

The MEWS and VIEWS are powerful scoring systems that are easy-to-use for predicting the hospitalization and in-hospital mortality of geriatric ED patients.

Single Deranged Physiologic Parameters Are Associated With Mortality in a Low-Income Country

OBJECTIVE

To investigate whether deranged physiologic parameters at admission to an ICU in Tanzania are associated with in-hospital mortality and compare single deranged physiologic parameters to a more complex scoring system.

DESIGN

Prospective, observational cohort study of patient notes and admission records. Data were collected on vital signs at admission to the ICU, patient characteristics, and outcomes. Cutoffs for deranged physiologic parameters were defined a priori and their association with in-hospital mortality was analyzed using multivariable logistic regression.

SETTING

ICU at Muhimbili National Hospital, Dar es Salaam, Tanzania.

PATIENTS

All adults admitted to the ICU in a 15-month period.

MEASUREMENTS AND MAIN RESULTS

Two hundred sixty-nine patients were included: 54% female, median age 35 years. In-hospital mortality was 50%. At admission, 69% of patients had one or more deranged physiologic parameter. Sixty-four percent of the patients with a deranged physiologic parameter died in hospital compared with 18% without (p < 0.001). The presence of a deranged physiologic parameter was associated with mortality (adjusted odds ratio, 4.64; 95% CI, 1.95-11.09). Mortality increased with increasing number of deranged physiologic parameters (odds ratio per deranged physiologic parameter, 2.24 [1.53-3.26]). Every individual deranged physiologic parameter was associated with mortality with unadjusted odds ratios between 1.92 and 16.16. A National Early Warning Score of greater than or equal to 7 had an association with mortality (odds ratio, 2.51 [1.23-5.14]).

CONCLUSION

Single deranged physiologic parameters at admission are associated with mortality in a critically ill population in a low-income country. As a measure of illness severity, single deranged physiologic parameters are as useful as a compound scoring system in this setting and could be termed "danger signs." Danger signs may be suitable for the basis of routines to identify and treat critically ill patients.

Are observation selection methods important when comparing early warning score performance?

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 24h 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 24h. 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.