Predictive Value of an Age-Based Modification of the National Early Warning System in Hospitalized Patients With COVID-19
Author(s) -
Ryan C. Maves,
Stephanie A Richard,
David A Lindholm,
Nusrat J Epsi,
Derek Larson,
Christian C. Conlon,
K Everson,
Steffen Lis,
Paul W. Blair,
Sharon Chi,
Anuradha Ganesan,
Simon Pollett,
Timothy Burgess,
Brian K. Agan,
Rhonda E Colombo,
Christopher Colombo,
John D. Cowden,
Ana E Markelz,
Katrin Mende,
S Merritt,
T. Allen Merritt,
Robert Walter,
T Wellington,
S Bazan,
Shan Michel,
Lisa Brandon,
Evan Ewers,
K Gallagher,
M Odom,
C. Conlon,
P Faestel,
Tomika Ferguson,
Leo I. Gordon,
Sarah Grogan,
M Martin,
C Mount,
D Musfeldt,
D Odineal,
W Robb-McGrath,
Rebecca Sainato,
Carin Schofield,
Caroline Skinner,
Michal Stein,
Mary E. Switzer,
M Timlin,
Sheri L. Wood,
Gerald F. Atwood,
R Carpenter,
C Eickhoff,
Karl Kronmann,
Tahaniyat Lalani,
T Lee,
Tyler Warkentien,
John Arnold,
Catherine M Berjohn,
Syed Arshad Husain,
N Kirkland,
Alexandra Lane,
Scott Parrish,
Gregory Utz,
E Filan,
K Fong,
Susan G. Hopkinson,
Timothy S. Horseman,
Milissa U. Jones,
A Kanis,
A Kayatani,
William Londeree,
Cristian Madar,
Joanna Masel,
Melissa McMahon,
K Miyasato,
Gavin Murphy,
V Nguay,
Katherine O’Connor,
Paul E. Schmidt,
E Schoenman,
S Scrivner,
Catherine Uyehara,
Rachel Villacorta-Lyew,
Christopher C. Broder,
Debra J. Brody,
Celia Byrne,
Kevin K. Chung,
C Coles,
Clifton L. Dalgard,
J. Stephen Dumler,
C English,
Mark C. Haigney,
Peter Hickey,
Eric D. Laing,
Jeffrey Livezey,
Allison M.W. Malloy,
R McLeroy,
Eugene V. Millar,
Tony Oliver,
Michael Rajnik,
Julia S Rozman,
Jennifer A. Rusiecki,
Marta López Sánchez,
I Scher,
Mark P. Simons,
Andrew L. Snow,
David R. Tribble,
Isha Berry,
Jesse W. Currier,
Janice M. Darden,
Hans Friberg,
Charlotte Lanteri,
Sheila A. Peel,
Padma Bhatia,
Nikhil Huprikar,
M Oyeneyin,
M Banda,
Bradley N Manktelow,
T Hunter,
O Ikpekpe-Magege,
Steven A. Kemp,
Rupal Mody,
Roy G. Resendez,
Adam Farmer,
David C. Hostler,
Carlos J Maldonado,
J Mehrer,
Rachel Radcliffe,
D Shaha,
M Swain,
Jeremy C. Weiss
Publication year - 2021
Publication title -
open forum infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 35
ISSN - 2328-8957
DOI - 10.1093/ofid/ofab421
Subject(s) - medicine , early warning score , receiver operating characteristic , covid-19 , prospective cohort study , observational study , mechanical ventilation , emergency medicine , disease , infectious disease (medical specialty)
Background Early recognition of high-risk patients with coronavirus disease 2019 (COVID-19) may improve outcomes. Although many predictive scoring systems exist, their complexity may limit utility in COVID-19. We assessed the prognostic performance of the National Early Warning Score (NEWS) and an age-based modification (NEWS+age) among hospitalized COVID-19 patients enrolled in a prospective, multicenter US Military Health System (MHS) observational cohort study. Methods Hospitalized adults with confirmed COVID-19 not requiring invasive mechanical ventilation at admission and with a baseline NEWS were included. We analyzed each scoring system’s ability to predict key clinical outcomes, including progression to invasive ventilation or death, stratified by baseline severity (low [0–3], medium [4–6], and high [≥7]). Results Among 184 included participants, those with low baseline NEWS had significantly shorter hospitalizations (P < .01) and lower maximum illness severity (P < .001). Most (80.2%) of low NEWS vs 15.8% of high NEWS participants required no or at most low-flow oxygen supplementation. Low NEWS (≤3) had a negative predictive value of 97.2% for progression to invasive ventilation or death; a high NEWS (≥7) had high specificity (93.1%) but low positive predictive value (42.1%) for such progression. NEWS+age performed similarly to NEWS at predicting invasive ventilation or death (NEWS+age: area under the receiver operating characteristics curve [AUROC], 0.69; 95% CI, 0.65–0.73; NEWS: AUROC, 0.70; 95% CI, 0.66–0.75). Conclusions NEWS and NEWS+age showed similar test characteristics in an MHS COVID-19 cohort. Notably, low baseline scores had an excellent negative predictive value. Given their easy applicability, these scoring systems may be useful in resource-limited settings to identify COVID-19 patients who are unlikely to progress to critical illness.
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