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Cited by 384

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Survival experience of aged hip fracture patients.

Open access
Magaziner, J, Simonsick, E M, Kashner, T M, Hebel, J R, Kenzora, J E·1989·American Journal of Public Health

Abstract

Hip fracture has long been considered a major threat to survival in aged populations. This report describes the survival experience of 814 aged, community dwelling hip fracture patients treated in seven Baltimore hospitals between 1984 and 1986: 4.3 per cent died during hospitalization; 8.2, 12.6, and 17.4 per cent died within three, six, and 12 months after fracture, respectively. The mortality rate for the entire population approaches expected mortality approximately six months post-fracture, but varies by age and sex. The most important factors predicting mortality are presence of serious concomitant illness and marked delirium (in the absence of dementia) at the time of hospital admission. The authors suggest that medical factors that may contribute to patient disorientation be investigated and treated, when possible, in an effort to improve the survival status of hip fracture patients.

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Metadata

Authors
Magaziner, J., Simonsick, E. M., Kashner, T. M., Hebel, J. R., & Kenzora, J. E.
Venue
American Journal of Public Health
Published
1989-03
Volume
79
Issue
3
Pages
274-278
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2052136674
Cited by
384
References
0
FWCI
13.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Survival experience of aged hip fracture patients. https://app.cochat.ai/papers/10.2105/ajph.79.3.274
The paper
Magaziner, J., Simonsick, E. M., Kashner, T. M., Hebel, J. R., & Kenzora, J. E. (1989). Survival experience of aged hip fracture patients. American Journal of Public Health. https://doi.org/10.2105/ajph.79.3.274

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.