Evidence map›Paper›PMID 38898974›Full record

ArticleNigerian medical journal : journal of the Nigeria Medical Association

The Role of The National Early Warning Score (NEWS) in Identifying Critically Ill Patients at Risk of Mortality in Nigeria. A Retrospective Record Review.

Pantong Mark Davwar, Nyam Paul David, Lucius Chidibere Imoh, Joy Imoh, Islam Siddig Ahmed, Jireh D Makpu, Mary J Duguru, Kefas Zawaya, Edith N Okeke

Abstract read
In one paragraph

Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Pantong Mark DavwarDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.
Nyam Paul DavidDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.
Lucius Chidibere ImohDepartment of Chemical Pathology, Jos University Teaching Hospital, Jos, Nigeria.
Joy ImohDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.
Islam Siddig AhmedDepartment of General Internal Medicine, North Tees, and Hartlepool NHS foundation trust, United Kingdom.
Jireh D MakpuDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.
Mary J DuguruDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.
Kefas ZawayaDepartment of Internal Medicine, Federal Teaching Hospital, Gombe, Nigeria.
Edith N OkekeDepartment of Internal Medicine, Jos University Teaching Hospital, Jos, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical deterioration in critically ill patients is a common phenomenon that can occur several hours before an adverse outcome. Early detection of subtle changes in vital signs, such as alterations in pulse rate and blood pressure, is crucial for preventing adverse events. However, these are not often recognized early enough to prompt quick intervention. The use of warning scores or assessment systems in the management of the critically ill in Nigeria has not been well evaluated. We assessed the association between the National Early Warning Score (NEWS) system and outcomes particularly mortality among the critically ill at the Jos University Teaching Hospital (JUTH), Nigeria. Methodology: This study is a retrospective study involving adults admitted to the medical and surgical wards between January 2021 and July 2021. Patient medical records were used to obtain data such as socio-demographics, and vital signs, which were used to compute the NEWS variable, diagnosis, length of stay, outcomes, and complications. Patients were classified as low, medium, and high-risk based on their NEWS scores within the first 24 hours of admission and 24 hours prior to the outcome of interest (death or discharge). Results: A total of 405 patients were included in this study. Patients with low, medium, and high-risk NEWS scores within the first 24 hours of admission, had an 11.1%, 9%, and 17% chance of death respectively. In the NEWS score high-risk group 24 hours prior to outcome (death or discharge), the risk of mortality increased to 20.6% and there was a four-fold increase in odds of death. Conclusion: Our results showed that the NEWS score predicted outcome and may suggest that the implementation of the NEWS score as a routine tool for monitoring inpatients at the Jos University Teaching Hospital could help to detect patients at risk of adverse events.

Indexed as

Critically IllNational Early Warning ScoreNEWSNigeriaRisk of Mortality

Identifiers

PMID38898974
PMCPMC11185807

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.