Literature DB >> 31550049

Fractures after stroke-A Danish register-based study of 106 001 patients.

Jonas Kristensen1,2, Ida Birn1,3,4, Inger Mechlenburg1,2,4.   

Abstract

OBJECTIVES: To estimate the incidence of fractures, possibly caused by falls, in patients aged 65 and older with first episode of stroke, and to estimate the incidence of fracture types for this group of patients. Another objective was to investigate stroke severity and marital status, as risk factors for fractures.
MATERIALS AND METHODS: A large retrospective dataset of 116 519 patients with first episode of stroke was extracted from the Danish Stroke Registry between January 2003 and December 2017. The occurrence of fractures was identified in the Danish National Patient Registry. A univariate analysis was conducted and a multivariate analysis was conducted to determine the relationship between stroke severity and fractures, and marital status and fractures, adjusting for multiple confounders. Cox regression with time-varying covariates was used, taking time-dependent variables into account.
RESULTS: The incidence rate of fractures post-stroke was 41.07 per 1000 person-years between 2003 and 2017 in Denmark. A total of 15 872 (14.86%) sustained a fracture and the mean time at risk until outcome was 3.67 years post-stroke. Femur fracture was the most common fracture type. Mild, moderate, severe, and unknown stroke severity are associated with fractures after stroke compared to very severe stroke, and living alone at the time of stroke is associated with fractures after stroke compared to living with someone.
CONCLUSIONS: The incidence rate of fractures in Denmark was 41.07 per 1000 person-years. Moreover, mild, moderate, and severe stroke severity, and living alone at the time of stroke were found to be risk factors for fracture.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  accidental falls; bone; epidemiology; fractures; incidence; risk; risk factors; stroke

Mesh:

Year:  2019        PMID: 31550049     DOI: 10.1111/ane.13172

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  1 in total

1.  Interleukin-13 Affects the Recovery Processes in a Mouse Model of Hemorrhagic Stroke with Bilateral Tibial Fracture.

Authors:  Ya'nan Yan; Cheng Gao; Guang Chen; Xueshi Chen; Yanglin Wu; Heng Xu; Zhiqi Cheng; Chengliang Luo; Mingyang Zhang; Tao Wang; Jun Lin; Xiping Chen; Luyang Tao
Journal:  Mol Neurobiol       Date:  2022-03-08       Impact factor: 5.590

  1 in total

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