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Are changes in objective observations or the patient's subjective feelings the day after admission the best predictors of in-hospital mortality? An observational study in a low-resource sub-Saharan hospital.
- Source :
-
Resuscitation [Resuscitation] 2019 Feb; Vol. 135, pp. 130-136. Date of Electronic Publication: 2018 Oct 26. - Publication Year :
- 2019
-
Abstract
- Background: The first clinical re-assessment after admission to hospital probably provides the best opportunity to detect clinical deterioration or failure to improve, and decide if care should be intensified.<br />Aim: Compare changes the day after admission in the patient's subjective feelings and objective findings that included age, gender, the National Early Warning Score (NEWS) on admission, gait stability and mid-upper arm circumference (MUAC) on admission, and changes in NEWS, gait stability and mental alertness.<br />Setting: Acutely ill medical patients admitted to a low-resource sub-Saharan hospital.<br />Methods: Prospective observational study.<br />Results: 1810 patients were reassessed 18 h after hospital admission. Logistic regression identified NEWS and gait stability on admission, a subjective feeling of improvement, the change in NEWS, and MUAC as clinically significant predictors of in-hospital mortality. Stratifying patients according to their NEWS on admission altered the predictive value of the four other predictors: for patients with an admission NEWS < 3 a subjective feeling of improvement is the most powerful predictor of a good outcome. For patients with an admission NEWS > = 3 the change in NEWS, gait stability on admission and MUAC provide additional prognostic information.<br />Conclusion: NEWS and gait stability on admission, MUAC, a subjective feeling of improvement, and change in NEWS the day after admission are all clinically significant predictors of in-hospital mortality.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Subjects :
- Clinical Deterioration
Clinical Observation Units statistics & numerical data
Female
Hospital Mortality
Humans
Male
Middle Aged
Patient Admission statistics & numerical data
Predictive Value of Tests
Prognosis
Research Design
Uganda
Acute Disease mortality
Acute Disease psychology
Acute Disease therapy
Clinical Decision-Making methods
Cognition
Diagnostic Self Evaluation
Gait Analysis
Vital Signs
Subjects
Details
- Language :
- English
- ISSN :
- 1873-1570
- Volume :
- 135
- Database :
- MEDLINE
- Journal :
- Resuscitation
- Publication Type :
- Academic Journal
- Accession number :
- 30612968
- Full Text :
- https://doi.org/10.1016/j.resuscitation.2018.10.023