feat(bibliography): add sources for MEWS and NEWS2

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Julian Lobbes 2023-05-01 13:00:07 +02:00
parent 7fd337642a
commit 3a8a14bb2f
2 changed files with 32 additions and 3 deletions

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@ -1088,3 +1088,32 @@ Pre-hospital {NEWS} was associated with death or critical care unit escalation w
keywords = {{ECG}, {EDR}, {QRS}, R-R interval},
file = {Kim et al. - 2007 - Two Algorithms for Detecting Respiratory Rate from.pdf:/home/ulinja/Zotero/storage/YNEGUM7M/Kim et al. - 2007 - Two Algorithms for Detecting Respiratory Rate from.pdf:application/pdf},
}
@article{smith_ability_2013,
title = {The ability of the National Early Warning Score ({NEWS}) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death},
volume = {84},
issn = {1873-1570},
doi = {10.1016/j.resuscitation.2012.12.016},
abstract = {{INTRODUCTION}: Early warning scores ({EWS}) are recommended as part of the early recognition and response to patient deterioration. The Royal College of Physicians recommends the use of a National Early Warning Score ({NEWS}) for the routine clinical assessment of all adult patients.
{METHODS}: We tested the ability of {NEWS} to discriminate patients at risk of cardiac arrest, unanticipated intensive care unit ({ICU}) admission or death within 24h of a {NEWS} value and compared its performance to that of 33 other {EWSs} currently in use, using the area under the receiver-operating characteristic ({AUROC}) curve and a large vital signs database (n=198,755 observation sets) collected from 35,585 consecutive, completed acute medical admissions.
{RESULTS}: The {AUROCs} (95\% {CI}) for {NEWS} for cardiac arrest, unanticipated {ICU} admission, death, and any of the outcomes, all within 24h, were 0.722 (0.685-0.759), 0.857 (0.847-0.868), 0.894 (0.887-0.902), and 0.873 (0.866-0.879), respectively. Similarly, the ranges of {AUROCs} (95\% {CI}) for the other 33 {EWSs} were 0.611 (0.568-0.654) to 0.710 (0.675-0.745) (cardiac arrest); 0.570 (0.553-0.568) to 0.827 (0.814-0.840) (unanticipated {ICU} admission); 0.813 (0.802-0.824) to 0.858 (0.849-0.867) (death); and 0.736 (0.727-0.745) to 0.834 (0.826-0.842) (any outcome).
{CONCLUSIONS}: {NEWS} has a greater ability to discriminate patients at risk of the combined outcome of cardiac arrest, unanticipated {ICU} admission or death within 24h of a {NEWS} value than 33 other {EWSs}.},
pages = {465--470},
number = {4},
journaltitle = {Resuscitation},
author = {Smith, Gary B. and Prytherch, David R. and Meredith, Paul and Schmidt, Paul E. and Featherstone, Peter I.},
date = {2013-04},
pmid = {23295778},
keywords = {Aged, Early Diagnosis, Female, Heart Arrest, Hospital Mortality, Humans, Intensive Care Units, Male, Patient Admission, Risk Assessment, {ROC} Curve, Severity of Illness Index, United Kingdom, Vital Signs},
file = {Accepted Version:/home/ulinja/Zotero/storage/WKEEUEAW/Smith et al. - 2013 - The ability of the National Early Warning Score (N.pdf:application/pdf},
}
@online{noauthor_national_2017,
title = {National Early Warning Score ({NEWS}) 2},
url = {https://www.rcplondon.ac.uk/projects/outputs/national-early-warning-score-news-2},
abstract = {{NEWS}2 is the latest version of the National Early Warning Score ({NEWS}), first produced in 2012 and updated in December 2017, which advocates a system to standardise the assessment and response to acute illness.},
titleaddon = {{RCP} London},
urldate = {2023-05-01},
date = {2017-12-19},
file = {Snapshot:/home/ulinja/Zotero/storage/TMN5DTXM/national-early-warning-score-news-2.html:text/html},
}

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@ -44,10 +44,10 @@ A large body of scientific evidence validates the effectiveness of EWS in assess
such as severe deterioration, likelihood of ICU admission, and mortality, both on hospital wards\cite{subbe_validation_2001, buist_association_2004, paterson_prediction_2006, alam_exploring_2015, bilben_national_2016, brekke_value_2019}
and in ambulatory care \cite{ehara_effectiveness_2019, burgos-esteban_effectiveness_2022, paganelli_conceptual_2022}.
Two common implementations are the \textit{National Early Warning Score 2} (NEWS2) and the
\textit{Modified Early Warning Score} (MEWS)\cite{burgos-esteban_effectiveness_2022}.
Two common implementations are the \textit{Modified Early Warning Score} (MEWS) and the
\textit{National Early Warning Score 2} (NEWS2)\cite{burgos-esteban_effectiveness_2022}.
Both are calculated by capturing various vital parameters from the patient at a specific point in time, followed by numerical aggregation of the
captured data according to the specifically used score.
captured data according to the specifically used score\cite{subbe_validation_2001, noauthor_national_2017}.
For MEWS, each type of vitals parameter is assigned an individual score based on which range it is in.
The individual scores are then added together to produce the final MEWS.
The ranges for individual scores for each type of vital parameter is shown in table \ref{mews-table}.