Dataset Information

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.

ABSTRACT: 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.

SUBMITTER: Wang JW

PROVIDER: S-EPMC6886901 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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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.

Wang James Wei JW Smith Phillip P Sarker Shah-Jalal SJ Elands Sophie S Oliveira Amelia A Barratt Claire C Thorn Chris C Holme Tom T Lynch Mary M

BMJ open 20191114 11

<h4>Objective</h4>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.<h4>Design</h4>Prospective observational cohort study.<h4>Setting</h4>UK District General Hospital.<h4>Subjects</h4>834 consecutive patients aged 65 years and older admitted acutely to medical specialties between 30 May and 22 July 2014.<h4>Methods</h4>Admission WS (rang ...[more]

PMID: 31727661

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Dataset Information

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.

Publications

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.

Similar Datasets

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