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A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data

OBJECTIVES: To construct and internally validate a risk score, the ‘80+ score’, for revisits to hospital and mortality for older patients, incorporating aspects of pharmacotherapy. Our secondary aim was to compare the discriminatory ability of the score with that of three validated tools for measuri...

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Autores principales: Alassaad, Anna, Melhus, Håkan, Hammarlund-Udenaes, Margareta, Bertilsson, Maria, Gillespie, Ulrika, Sundström, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336459/
https://www.ncbi.nlm.nih.gov/pubmed/25694461
http://dx.doi.org/10.1136/bmjopen-2014-007259
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author Alassaad, Anna
Melhus, Håkan
Hammarlund-Udenaes, Margareta
Bertilsson, Maria
Gillespie, Ulrika
Sundström, Johan
author_facet Alassaad, Anna
Melhus, Håkan
Hammarlund-Udenaes, Margareta
Bertilsson, Maria
Gillespie, Ulrika
Sundström, Johan
author_sort Alassaad, Anna
collection PubMed
description OBJECTIVES: To construct and internally validate a risk score, the ‘80+ score’, for revisits to hospital and mortality for older patients, incorporating aspects of pharmacotherapy. Our secondary aim was to compare the discriminatory ability of the score with that of three validated tools for measuring inappropriate prescribing: Screening Tool of Older Person's Prescriptions (STOPP), Screening Tool to Alert doctors to Right Treatment (START) and Medication Appropriateness Index (MAI). SETTING: Two acute internal medicine wards at Uppsala University hospital. Patient data were used from a randomised controlled trial investigating the effects of a comprehensive clinical pharmacist intervention. PARTICIPANTS: Data from 368 patients, aged 80 years and older, admitted to one of the study wards. PRIMARY OUTCOME MEASURE: Time to rehospitalisation or death during the year after discharge from hospital. Candidate variables were selected among a large number of clinical and drug-specific variables. After a selection process, a score for risk estimation was constructed. The 80+ score was internally validated, and the discriminatory ability of the score and of STOPP, START and MAI was assessed using C-statistics. RESULTS: Seven variables were selected. Impaired renal function, pulmonary disease, malignant disease, living in a nursing home, being prescribed an opioid or being prescribed a drug for peptic ulcer or gastroesophageal reflux disease were associated with an increased risk, while being prescribed an antidepressant drug (tricyclic antidepressants not included) was linked to a lower risk of the outcome. These variables made up the components of the 80+ score. The C-statistics were 0.71 (80+), 0.57 (STOPP), 0.54 (START) and 0.63 (MAI). CONCLUSIONS: We developed and internally validated a score for prediction of risk of rehospitalisation and mortality in hospitalised older people. The score discriminated risk better than available tools for inappropriate prescribing. Pending external validation, this score can aid in clinical identification of high-risk patients and targeting of interventions.
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spelling pubmed-43364592015-02-25 A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data Alassaad, Anna Melhus, Håkan Hammarlund-Udenaes, Margareta Bertilsson, Maria Gillespie, Ulrika Sundström, Johan BMJ Open Health Services Research OBJECTIVES: To construct and internally validate a risk score, the ‘80+ score’, for revisits to hospital and mortality for older patients, incorporating aspects of pharmacotherapy. Our secondary aim was to compare the discriminatory ability of the score with that of three validated tools for measuring inappropriate prescribing: Screening Tool of Older Person's Prescriptions (STOPP), Screening Tool to Alert doctors to Right Treatment (START) and Medication Appropriateness Index (MAI). SETTING: Two acute internal medicine wards at Uppsala University hospital. Patient data were used from a randomised controlled trial investigating the effects of a comprehensive clinical pharmacist intervention. PARTICIPANTS: Data from 368 patients, aged 80 years and older, admitted to one of the study wards. PRIMARY OUTCOME MEASURE: Time to rehospitalisation or death during the year after discharge from hospital. Candidate variables were selected among a large number of clinical and drug-specific variables. After a selection process, a score for risk estimation was constructed. The 80+ score was internally validated, and the discriminatory ability of the score and of STOPP, START and MAI was assessed using C-statistics. RESULTS: Seven variables were selected. Impaired renal function, pulmonary disease, malignant disease, living in a nursing home, being prescribed an opioid or being prescribed a drug for peptic ulcer or gastroesophageal reflux disease were associated with an increased risk, while being prescribed an antidepressant drug (tricyclic antidepressants not included) was linked to a lower risk of the outcome. These variables made up the components of the 80+ score. The C-statistics were 0.71 (80+), 0.57 (STOPP), 0.54 (START) and 0.63 (MAI). CONCLUSIONS: We developed and internally validated a score for prediction of risk of rehospitalisation and mortality in hospitalised older people. The score discriminated risk better than available tools for inappropriate prescribing. Pending external validation, this score can aid in clinical identification of high-risk patients and targeting of interventions. BMJ Publishing Group 2015-02-18 /pmc/articles/PMC4336459/ /pubmed/25694461 http://dx.doi.org/10.1136/bmjopen-2014-007259 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Health Services Research
Alassaad, Anna
Melhus, Håkan
Hammarlund-Udenaes, Margareta
Bertilsson, Maria
Gillespie, Ulrika
Sundström, Johan
A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title_full A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title_fullStr A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title_full_unstemmed A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title_short A tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
title_sort tool for prediction of risk of rehospitalisation and mortality in the hospitalised elderly: secondary analysis of clinical trial data
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336459/
https://www.ncbi.nlm.nih.gov/pubmed/25694461
http://dx.doi.org/10.1136/bmjopen-2014-007259
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