Cargando…

Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies

BACKGROUND: Identifying those people at increased risk of early functional decline in activities of daily living (ADL) is essential for initiating preventive interventions. The aim of this study is to develop and validate a clinical prediction model for onset of functional decline in ADL in three ye...

Descripción completa

Detalles Bibliográficos
Autores principales: Jonkman, Nini H., Colpo, Marco, Klenk, Jochen, Todd, Chris, Hoekstra, Trynke, Del Panta, Vieri, Rapp, Kilian, van Schoor, Natasja M., Bandinelli, Stefania, Heymans, Martijn W., Mauger, Dominique, Cattelani, Luca, Denkinger, Michael D., Rothenbacher, Dietrich, Helbostad, Jorunn L., Vereijken, Beatrix, Maier, Andrea B., Pijnappels, Mirjam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595632/
https://www.ncbi.nlm.nih.gov/pubmed/31248370
http://dx.doi.org/10.1186/s12877-019-1192-1
_version_ 1783430433158987776
author Jonkman, Nini H.
Colpo, Marco
Klenk, Jochen
Todd, Chris
Hoekstra, Trynke
Del Panta, Vieri
Rapp, Kilian
van Schoor, Natasja M.
Bandinelli, Stefania
Heymans, Martijn W.
Mauger, Dominique
Cattelani, Luca
Denkinger, Michael D.
Rothenbacher, Dietrich
Helbostad, Jorunn L.
Vereijken, Beatrix
Maier, Andrea B.
Pijnappels, Mirjam
author_facet Jonkman, Nini H.
Colpo, Marco
Klenk, Jochen
Todd, Chris
Hoekstra, Trynke
Del Panta, Vieri
Rapp, Kilian
van Schoor, Natasja M.
Bandinelli, Stefania
Heymans, Martijn W.
Mauger, Dominique
Cattelani, Luca
Denkinger, Michael D.
Rothenbacher, Dietrich
Helbostad, Jorunn L.
Vereijken, Beatrix
Maier, Andrea B.
Pijnappels, Mirjam
author_sort Jonkman, Nini H.
collection PubMed
description BACKGROUND: Identifying those people at increased risk of early functional decline in activities of daily living (ADL) is essential for initiating preventive interventions. The aim of this study is to develop and validate a clinical prediction model for onset of functional decline in ADL in three years of follow-up in older people of 65–75 years old. METHODS: Four population-based cohort studies were pooled for the analysis: ActiFE-ULM (Germany), ELSA (United Kingdom), InCHIANTI (Italy), LASA (Netherlands). Included participants were 65–75 years old at baseline and reported no limitations in functional ability in ADL at baseline. Functional decline was assessed with two items on basic ADL and three items on instrumental ADL. Participants who reported at least some limitations at three-year follow-up on any of the five items were classified as experiencing functional decline. Multiple logistic regression analysis was used to develop a prediction model, with subsequent bootstrapping for optimism-correction. We applied internal-external cross-validation by alternating the data from the four cohort studies to assess the discrimination and calibration across the cohorts. RESULTS: Two thousand five hundred sixty community-dwelling people were included in the analyses (mean age 69.7 ± 3.0 years old, 47.4% female) of whom 572 (22.3%) reported functional decline at three-year follow-up. The final prediction model included 10 out of 22 predictors: age, handgrip strength, gait speed, five-repeated chair stands time (non-linear association), body mass index, cardiovascular disease, diabetes, chronic obstructive pulmonary disease, arthritis, and depressive symptoms. The optimism-corrected model showed good discrimination with a C statistic of 0.72. The calibration intercept was 0.06 and the calibration slope was 1.05. Internal-external cross-validation showed consistent performance of the model across the four cohorts. CONCLUSIONS: Based on pooled cohort data analyses we were able to show that the onset of functional decline in ADL in three years in older people aged 65–75 years can be predicted by specific physical performance measures, age, body mass index, presence of depressive symptoms, and chronic conditions. The prediction model showed good discrimination and calibration, which remained stable across the four cohorts, supporting external validity of our findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-019-1192-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6595632
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-65956322019-08-07 Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies Jonkman, Nini H. Colpo, Marco Klenk, Jochen Todd, Chris Hoekstra, Trynke Del Panta, Vieri Rapp, Kilian van Schoor, Natasja M. Bandinelli, Stefania Heymans, Martijn W. Mauger, Dominique Cattelani, Luca Denkinger, Michael D. Rothenbacher, Dietrich Helbostad, Jorunn L. Vereijken, Beatrix Maier, Andrea B. Pijnappels, Mirjam BMC Geriatr Research Article BACKGROUND: Identifying those people at increased risk of early functional decline in activities of daily living (ADL) is essential for initiating preventive interventions. The aim of this study is to develop and validate a clinical prediction model for onset of functional decline in ADL in three years of follow-up in older people of 65–75 years old. METHODS: Four population-based cohort studies were pooled for the analysis: ActiFE-ULM (Germany), ELSA (United Kingdom), InCHIANTI (Italy), LASA (Netherlands). Included participants were 65–75 years old at baseline and reported no limitations in functional ability in ADL at baseline. Functional decline was assessed with two items on basic ADL and three items on instrumental ADL. Participants who reported at least some limitations at three-year follow-up on any of the five items were classified as experiencing functional decline. Multiple logistic regression analysis was used to develop a prediction model, with subsequent bootstrapping for optimism-correction. We applied internal-external cross-validation by alternating the data from the four cohort studies to assess the discrimination and calibration across the cohorts. RESULTS: Two thousand five hundred sixty community-dwelling people were included in the analyses (mean age 69.7 ± 3.0 years old, 47.4% female) of whom 572 (22.3%) reported functional decline at three-year follow-up. The final prediction model included 10 out of 22 predictors: age, handgrip strength, gait speed, five-repeated chair stands time (non-linear association), body mass index, cardiovascular disease, diabetes, chronic obstructive pulmonary disease, arthritis, and depressive symptoms. The optimism-corrected model showed good discrimination with a C statistic of 0.72. The calibration intercept was 0.06 and the calibration slope was 1.05. Internal-external cross-validation showed consistent performance of the model across the four cohorts. CONCLUSIONS: Based on pooled cohort data analyses we were able to show that the onset of functional decline in ADL in three years in older people aged 65–75 years can be predicted by specific physical performance measures, age, body mass index, presence of depressive symptoms, and chronic conditions. The prediction model showed good discrimination and calibration, which remained stable across the four cohorts, supporting external validity of our findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-019-1192-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-27 /pmc/articles/PMC6595632/ /pubmed/31248370 http://dx.doi.org/10.1186/s12877-019-1192-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jonkman, Nini H.
Colpo, Marco
Klenk, Jochen
Todd, Chris
Hoekstra, Trynke
Del Panta, Vieri
Rapp, Kilian
van Schoor, Natasja M.
Bandinelli, Stefania
Heymans, Martijn W.
Mauger, Dominique
Cattelani, Luca
Denkinger, Michael D.
Rothenbacher, Dietrich
Helbostad, Jorunn L.
Vereijken, Beatrix
Maier, Andrea B.
Pijnappels, Mirjam
Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title_full Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title_fullStr Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title_full_unstemmed Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title_short Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
title_sort development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four european cohort studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595632/
https://www.ncbi.nlm.nih.gov/pubmed/31248370
http://dx.doi.org/10.1186/s12877-019-1192-1
work_keys_str_mv AT jonkmanninih developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT colpomarco developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT klenkjochen developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT toddchris developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT hoekstratrynke developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT delpantavieri developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT rappkilian developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT vanschoornatasjam developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT bandinellistefania developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT heymansmartijnw developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT maugerdominique developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT cattelaniluca developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT denkingermichaeld developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT rothenbacherdietrich developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT helbostadjorunnl developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT vereijkenbeatrix developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT maierandreab developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies
AT pijnappelsmirjam developmentofaclinicalpredictionmodelfortheonsetoffunctionaldeclineinpeopleaged6575yearspooledanalysisoffoureuropeancohortstudies