Cargando…

Long-Term Factors Associated With Falls and Fractures Poststroke

BACKGROUND: Risk factors for poststroke falls and fractures remain poorly understood. This study aimed to evaluate which factors increased risk of these events after stroke. METHODS: Data from 7,267 hospitalized stroke patients were acquired from the Norfolk and Norwich University Hospital Stroke Re...

Descripción completa

Detalles Bibliográficos
Autores principales: Foster, Emma J., Barlas, Raphae S., Bettencourt-Silva, Joao H., Clark, Allan B., Metcalf, Anthony K., Bowles, Kristian M., Potter, John F., Myint, Phyo K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891595/
https://www.ncbi.nlm.nih.gov/pubmed/29666603
http://dx.doi.org/10.3389/fneur.2018.00210
_version_ 1783313027296133120
author Foster, Emma J.
Barlas, Raphae S.
Bettencourt-Silva, Joao H.
Clark, Allan B.
Metcalf, Anthony K.
Bowles, Kristian M.
Potter, John F.
Myint, Phyo K.
author_facet Foster, Emma J.
Barlas, Raphae S.
Bettencourt-Silva, Joao H.
Clark, Allan B.
Metcalf, Anthony K.
Bowles, Kristian M.
Potter, John F.
Myint, Phyo K.
author_sort Foster, Emma J.
collection PubMed
description BACKGROUND: Risk factors for poststroke falls and fractures remain poorly understood. This study aimed to evaluate which factors increased risk of these events after stroke. METHODS: Data from 7,267 hospitalized stroke patients were acquired from the Norfolk and Norwich University Hospital Stroke Register from 2003–2015. The impacts of multiple patient level and stroke characteristics and comorbidities on post-discharge falls and fractures were assessed. Univariate and multivariable models were constructed, adjusting for multiple confounders, using binary logistic regression for short-term analysis (up to 1-year post-discharge) and Cox-proportional hazard models for longer term analysis (1–3, 3–5, and 0–10 years follow-up). RESULTS: The mean age (SD) was 76.3 ± 12.1 years at baseline. 1,138 (15.7%) participants had an incident fall; and 666 (9.2%) an incident fracture during the 10-year follow-up (total person years = 64,447.99 for falls and 67,726.70 for fractures). Half of the sample population were females (50.6%) and the majority had an ischemic stroke (89.8%). After adjusting for confounders: age, sex, previous history of falls, and atrial fibrillation were associated with an increased risk of both falls and fractures during follow-up. Furthermore, chronic kidney disease and hyperlipidemia were associated with an increased risk of falls, while previous stroke/transient ischemic attack increased fracture risk. Total anterior circulation stroke and a prestroke modified Rankin Scale score of 3–5 were associated with decreased risk of both events, with hypertension and cancer decreasing risk of falls only. CONCLUSION: We identified demographic, stroke-related, and comorbid factors associated with poststroke falls and fracture incidence. Further studies are required to examine and establish the relationship between reversible factors and further explore the role of preventative measures to prevent poststroke falls and fractures.
format Online
Article
Text
id pubmed-5891595
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-58915952018-04-17 Long-Term Factors Associated With Falls and Fractures Poststroke Foster, Emma J. Barlas, Raphae S. Bettencourt-Silva, Joao H. Clark, Allan B. Metcalf, Anthony K. Bowles, Kristian M. Potter, John F. Myint, Phyo K. Front Neurol Neuroscience BACKGROUND: Risk factors for poststroke falls and fractures remain poorly understood. This study aimed to evaluate which factors increased risk of these events after stroke. METHODS: Data from 7,267 hospitalized stroke patients were acquired from the Norfolk and Norwich University Hospital Stroke Register from 2003–2015. The impacts of multiple patient level and stroke characteristics and comorbidities on post-discharge falls and fractures were assessed. Univariate and multivariable models were constructed, adjusting for multiple confounders, using binary logistic regression for short-term analysis (up to 1-year post-discharge) and Cox-proportional hazard models for longer term analysis (1–3, 3–5, and 0–10 years follow-up). RESULTS: The mean age (SD) was 76.3 ± 12.1 years at baseline. 1,138 (15.7%) participants had an incident fall; and 666 (9.2%) an incident fracture during the 10-year follow-up (total person years = 64,447.99 for falls and 67,726.70 for fractures). Half of the sample population were females (50.6%) and the majority had an ischemic stroke (89.8%). After adjusting for confounders: age, sex, previous history of falls, and atrial fibrillation were associated with an increased risk of both falls and fractures during follow-up. Furthermore, chronic kidney disease and hyperlipidemia were associated with an increased risk of falls, while previous stroke/transient ischemic attack increased fracture risk. Total anterior circulation stroke and a prestroke modified Rankin Scale score of 3–5 were associated with decreased risk of both events, with hypertension and cancer decreasing risk of falls only. CONCLUSION: We identified demographic, stroke-related, and comorbid factors associated with poststroke falls and fracture incidence. Further studies are required to examine and establish the relationship between reversible factors and further explore the role of preventative measures to prevent poststroke falls and fractures. Frontiers Media S.A. 2018-04-03 /pmc/articles/PMC5891595/ /pubmed/29666603 http://dx.doi.org/10.3389/fneur.2018.00210 Text en Copyright © 2018 Foster, Barlas, Bettencourt-Silva, Clark, Metcalf, Bowles, Potter and Myint. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Foster, Emma J.
Barlas, Raphae S.
Bettencourt-Silva, Joao H.
Clark, Allan B.
Metcalf, Anthony K.
Bowles, Kristian M.
Potter, John F.
Myint, Phyo K.
Long-Term Factors Associated With Falls and Fractures Poststroke
title Long-Term Factors Associated With Falls and Fractures Poststroke
title_full Long-Term Factors Associated With Falls and Fractures Poststroke
title_fullStr Long-Term Factors Associated With Falls and Fractures Poststroke
title_full_unstemmed Long-Term Factors Associated With Falls and Fractures Poststroke
title_short Long-Term Factors Associated With Falls and Fractures Poststroke
title_sort long-term factors associated with falls and fractures poststroke
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891595/
https://www.ncbi.nlm.nih.gov/pubmed/29666603
http://dx.doi.org/10.3389/fneur.2018.00210
work_keys_str_mv AT fosteremmaj longtermfactorsassociatedwithfallsandfracturespoststroke
AT barlasraphaes longtermfactorsassociatedwithfallsandfracturespoststroke
AT bettencourtsilvajoaoh longtermfactorsassociatedwithfallsandfracturespoststroke
AT clarkallanb longtermfactorsassociatedwithfallsandfracturespoststroke
AT metcalfanthonyk longtermfactorsassociatedwithfallsandfracturespoststroke
AT bowleskristianm longtermfactorsassociatedwithfallsandfracturespoststroke
AT potterjohnf longtermfactorsassociatedwithfallsandfracturespoststroke
AT myintphyok longtermfactorsassociatedwithfallsandfracturespoststroke