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Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study
OBJECTIVE: This study aimed to explore the potential for the Waterlow score (WS) to be used as a predictor of 30-day mortality and length of hospital stay (LHS) in acutely admitted medical patients aged 65 years and older. DESIGN: Prospective observational cohort study. SETTING: UK District General...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886901/ https://www.ncbi.nlm.nih.gov/pubmed/31727661 http://dx.doi.org/10.1136/bmjopen-2019-032347 |
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author | Wang, James Wei Smith, Phillip Sarker, Shah-Jalal Elands, Sophie Oliveira, Amelia Barratt, Claire Thorn, Chris Holme, Tom Lynch, Mary |
author_facet | Wang, James Wei Smith, Phillip Sarker, Shah-Jalal Elands, Sophie Oliveira, Amelia Barratt, Claire Thorn, Chris Holme, Tom Lynch, Mary |
author_sort | Wang, James Wei |
collection | PubMed |
description | OBJECTIVE: This study aimed to explore the potential for the Waterlow score (WS) to be used as a predictor of 30-day mortality and length of hospital stay (LHS) in acutely admitted medical patients aged 65 years and older. DESIGN: Prospective observational cohort study. SETTING: UK District General Hospital. SUBJECTS: 834 consecutive patients aged 65 years and older admitted acutely to medical specialties between 30 May and 22 July 2014. METHODS: Admission WS (range 4–64) assessment paired with the patient’s status at 30 days in terms of mortality and their LHS. PRIMARY OUTCOMES: 30-day mortality and length of inpatient stay. RESULTS: 834 consecutive acute medical admissions had their WS recorded. 30-day mortality was 13.1% (109 deaths). A significant difference in the distribution of WS (p<0.001) was seen between those who survived (median 12) and those who died (median 16) within 30 days, particularly within respiratory (p<0.001), stroke (p<0.001), cardiology (p<0.016), non-respiratory infections (p<0.018) and trauma (p<0.044) subgroups. Odds of dying within 30 days increased threefold for every 10-unit increase in the WS (p<0.001, 95% CI 2.1 to 4.3). LHS was also positively linearly associated with the WS in those who survived 30 days (median=5, IQR=10; r=0.32, p<0.01). A five-unit increase in WS was associated with approximately 5 days increase in LHS. On the other hand, quadratic regression showed this relationship was curvilinear and negative (concave) for those who died within 30 days where a five-unit increase in WS was associated with an approximately 10 days decrease in LHS. CONCLUSION: This study demonstrates an association between a high WS and both 30-day mortality and LHS. This is particularly significant for mortality in patients in the respiratory, stroke and cardiac subcategories. The WS, a nursing-led screening tool that is carried out on virtually all admissions to UK hospitals, could have additional use at the time of patient admission as a risk assessment tool for 30-day mortality as well as a predictor of LHS. |
format | Online Article Text |
id | pubmed-6886901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-68869012019-12-04 Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study Wang, James Wei Smith, Phillip Sarker, Shah-Jalal Elands, Sophie Oliveira, Amelia Barratt, Claire Thorn, Chris Holme, Tom Lynch, Mary BMJ Open Geriatric Medicine OBJECTIVE: This study aimed to explore the potential for the Waterlow score (WS) to be used as a predictor of 30-day mortality and length of hospital stay (LHS) in acutely admitted medical patients aged 65 years and older. DESIGN: Prospective observational cohort study. SETTING: UK District General Hospital. SUBJECTS: 834 consecutive patients aged 65 years and older admitted acutely to medical specialties between 30 May and 22 July 2014. METHODS: Admission WS (range 4–64) assessment paired with the patient’s status at 30 days in terms of mortality and their LHS. PRIMARY OUTCOMES: 30-day mortality and length of inpatient stay. RESULTS: 834 consecutive acute medical admissions had their WS recorded. 30-day mortality was 13.1% (109 deaths). A significant difference in the distribution of WS (p<0.001) was seen between those who survived (median 12) and those who died (median 16) within 30 days, particularly within respiratory (p<0.001), stroke (p<0.001), cardiology (p<0.016), non-respiratory infections (p<0.018) and trauma (p<0.044) subgroups. Odds of dying within 30 days increased threefold for every 10-unit increase in the WS (p<0.001, 95% CI 2.1 to 4.3). LHS was also positively linearly associated with the WS in those who survived 30 days (median=5, IQR=10; r=0.32, p<0.01). A five-unit increase in WS was associated with approximately 5 days increase in LHS. On the other hand, quadratic regression showed this relationship was curvilinear and negative (concave) for those who died within 30 days where a five-unit increase in WS was associated with an approximately 10 days decrease in LHS. CONCLUSION: This study demonstrates an association between a high WS and both 30-day mortality and LHS. This is particularly significant for mortality in patients in the respiratory, stroke and cardiac subcategories. The WS, a nursing-led screening tool that is carried out on virtually all admissions to UK hospitals, could have additional use at the time of patient admission as a risk assessment tool for 30-day mortality as well as a predictor of LHS. BMJ Publishing Group 2019-11-14 /pmc/articles/PMC6886901/ /pubmed/31727661 http://dx.doi.org/10.1136/bmjopen-2019-032347 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Geriatric Medicine Wang, James Wei Smith, Phillip Sarker, Shah-Jalal Elands, Sophie Oliveira, Amelia Barratt, Claire Thorn, Chris Holme, Tom Lynch, Mary Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title | Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title_full | Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title_fullStr | Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title_full_unstemmed | Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title_short | Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study |
title_sort | can waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? evidence from a single centre prospective cohort study |
topic | Geriatric Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886901/ https://www.ncbi.nlm.nih.gov/pubmed/31727661 http://dx.doi.org/10.1136/bmjopen-2019-032347 |
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