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Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care
OBJECTIVES: Falls are a common problem in older people. Postural hypotension contributes to falls but is often asymptomatic. In the absence of symptoms, postural hypotension is only infrequently checked for in clinical practice. We undertook this study to derive, validate and explore the prospective...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914723/ https://www.ncbi.nlm.nih.gov/pubmed/29678986 http://dx.doi.org/10.1136/bmjopen-2017-020740 |
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author | Clark, Christopher Elles Thomas, Daniel Warren, Fiona C Llewellyn, David J Ferrucci, Luigi Campbell, John L |
author_facet | Clark, Christopher Elles Thomas, Daniel Warren, Fiona C Llewellyn, David J Ferrucci, Luigi Campbell, John L |
author_sort | Clark, Christopher Elles |
collection | PubMed |
description | OBJECTIVES: Falls are a common problem in older people. Postural hypotension contributes to falls but is often asymptomatic. In the absence of symptoms, postural hypotension is only infrequently checked for in clinical practice. We undertook this study to derive, validate and explore the prospective associations of a prediction tool to identify people likely to have unrecognised postural hypotension. DESIGN AND SETTING: Cross-sectional and prospective multivariable cohort analysis. PARTICIPANTS: 1317 participants of the Invecchiare in Chianti study, a population-based cohort representative of the older Italian population. PRIMARY OUTCOME MEASURES: Predictive value of score to suggest presence of postural hypotension. METHODS: Subjects were randomised 1:1 to derivation or validation cohorts. Within the derivation cohort, univariable associations for candidate predictors of postural hypotension were tested. Variables with p<0.1 entered multivariable linear regression models. Factors retaining multivariable significance were incorporated into unweighted and weighted Detecting Risk Of Postural hypotension (DROP) scores. These scores were tested in the validation cohort against prediction of postural hypotension, cognitive decline and mortality over 9 years of follow-up. RESULTS: Postural hypotension was present in 203 (15.4%) of participants. Factors predicting postural hypotension were: digoxin use, Parkinson’s disease, hypertension, stroke or cardiovascular disease and an interarm systolic blood pressure difference. Area under the curve was consistent at 0.65 for all models, with significant ORs of 1.8 to 2.4 per unit increase in score for predicting postural hypotension. For a DROP score ≥1, five cases need to be tested to identify one with postural hypotension. Increasing DROP scores predicted mortality (OR 1.8 to 2.8 per unit rise) and increasing rates of decline of Mini Mental State Examination score (analysis of variance p<0.001) over 9 years of follow-up. CONCLUSIONS: The DROP score provides a simple method to identify people likely to have postural hypotension and increased risks to health who require further evaluation. |
format | Online Article Text |
id | pubmed-5914723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59147232018-04-27 Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care Clark, Christopher Elles Thomas, Daniel Warren, Fiona C Llewellyn, David J Ferrucci, Luigi Campbell, John L BMJ Open General practice / Family practice OBJECTIVES: Falls are a common problem in older people. Postural hypotension contributes to falls but is often asymptomatic. In the absence of symptoms, postural hypotension is only infrequently checked for in clinical practice. We undertook this study to derive, validate and explore the prospective associations of a prediction tool to identify people likely to have unrecognised postural hypotension. DESIGN AND SETTING: Cross-sectional and prospective multivariable cohort analysis. PARTICIPANTS: 1317 participants of the Invecchiare in Chianti study, a population-based cohort representative of the older Italian population. PRIMARY OUTCOME MEASURES: Predictive value of score to suggest presence of postural hypotension. METHODS: Subjects were randomised 1:1 to derivation or validation cohorts. Within the derivation cohort, univariable associations for candidate predictors of postural hypotension were tested. Variables with p<0.1 entered multivariable linear regression models. Factors retaining multivariable significance were incorporated into unweighted and weighted Detecting Risk Of Postural hypotension (DROP) scores. These scores were tested in the validation cohort against prediction of postural hypotension, cognitive decline and mortality over 9 years of follow-up. RESULTS: Postural hypotension was present in 203 (15.4%) of participants. Factors predicting postural hypotension were: digoxin use, Parkinson’s disease, hypertension, stroke or cardiovascular disease and an interarm systolic blood pressure difference. Area under the curve was consistent at 0.65 for all models, with significant ORs of 1.8 to 2.4 per unit increase in score for predicting postural hypotension. For a DROP score ≥1, five cases need to be tested to identify one with postural hypotension. Increasing DROP scores predicted mortality (OR 1.8 to 2.8 per unit rise) and increasing rates of decline of Mini Mental State Examination score (analysis of variance p<0.001) over 9 years of follow-up. CONCLUSIONS: The DROP score provides a simple method to identify people likely to have postural hypotension and increased risks to health who require further evaluation. BMJ Publishing Group 2018-04-20 /pmc/articles/PMC5914723/ /pubmed/29678986 http://dx.doi.org/10.1136/bmjopen-2017-020740 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | General practice / Family practice Clark, Christopher Elles Thomas, Daniel Warren, Fiona C Llewellyn, David J Ferrucci, Luigi Campbell, John L Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title | Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title_full | Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title_fullStr | Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title_full_unstemmed | Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title_short | Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care |
title_sort | detecting risk of postural hypotension (drop): derivation and validation of a prediction score for primary care |
topic | General practice / Family practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914723/ https://www.ncbi.nlm.nih.gov/pubmed/29678986 http://dx.doi.org/10.1136/bmjopen-2017-020740 |
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