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Development of a Clinical Prediction Rule for Adverse Events in Multimorbid Patients in Emergency and Hospitalisation

Bibliographic Data

ID15501460
AuthorsMarta Morales-Puerto (Andalusian Health Service), María Ruiz-Díaz (Andalusian Health Service), Marta Aranda‐Gallardo (0000-0003-0399-9561, Andalusian Health Service, corresponding author), José Miguel Morales‐Asencio (0000-0001-7911-7487, Instituto de Investigación Biomédica de Málaga), Purificación Alcalá-Gutiérrez (Andalusian Health Service), José Antonio Rodríguez-Montalvo (0000-0001-7890-6417, Andalusian Health Service), Álvaro León‐Campos (0000-0002-1468-3012, Instituto de Investigación Biomédica de Málaga), Álvaro León-Campos (Universidad de Málaga), Silvia García‐Mayor (0000-0002-3913-3850, Instituto de Investigación Biomédica de Málaga), José Carlos Canca‐Sánchez (0000-0002-1906-3568, Andalusian Health Service)
Year2022
Volume19
Issue14
Pages8581-8581
Publication date2022-07-14
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19148581
PMID35886434
OpenAlexW4285596434
LanguageEN
References cited57

(1) Background: There is currently a global consensus that the quality of comprehensive care for acutely hospitalised elderly people should include addressing functionality and mobility, cognitive status, prevention of pressure ulcers, urinary incontinence, falls and delirium, as well as pain control and medication-related problems. The aim of this study is to develop and validate a clinical prediction rule for multimorbid patients admitted to an acute care hospital unit for any of the five adverse events included in our vulnerability pentad: falls, pressure ulcers, urinary incontinence, pain and delirium. (2) Methods: Longitudinal analytical clinimetric study, with two cohorts. The study population will consist of multimorbid patients hospitalised for acute care, referred from the Emergency Room. A clinical prediction rule will be proposed, incorporating predictive factors of these five adverse outcomes described. This study has received funding, awarded in November 2020 (PI-0107-2020), and was approved in October 2019 by the Research Ethics Committee ′′Costa del Sol′′. (3) Conclusions: Preventing adverse events in hospitalised patients is particularly important for those with multimorbidity. By applying a clinical prediction rule to detect specific risks, an estimate can be obtained of their probability of occurrence

Acute care · Adverse effect · Clinical prediction rule · Delirium · Emergency department · Health care · Intensive care medicine · Psychiatry · Urinary incontinence · Chronic Disease Management Strategies · Frailty in Older Adults · Intensive Care Unit Cognitive Disorders · Medicine · Emergency Medicine · Internal Medicine · Surgery

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