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Journal Article

Citation

Bhandari M, Koo H, Saunders L, Shaughnessy SG, Dunlop RB, Schemitsch EH. Int. J. Surg. Investig. 1999; 1(4): 319-326.

Affiliation

Hamilton Civic Hospitals Research Center, Division of Orthopaedic Surgery, 711 Concession Street, Hamilton, Ontario, Canada L8V 1C3. bhandari@netinc.ca

Copyright

(Copyright © 1999, Harwood Academic Publishers)

DOI

unavailable

PMID

12774456

Abstract

OBJECTIVE: To identify predictors of in-hospital mortality and hospital stay following hip fractures. DESIGN: Retrospective cohort study of 185 consecutive patients. SETTING: Tertiary Care University Hospital. PARTICIPANTS: Individuals requiring operative treatment of a proximal femoral fracture excluding those individuals < 50 years old, with femoral head or subtrochanteric fractures, and significant co-morbidity. OUTCOMES: In-hospital mortality and length of hospital stay (days). RESULTS: 116 patients met the inclusion criteria. Predictors of in-hospital mortality from logistic regression analysis included male gender (odds ratio with 95% CI: 5.5, 1.5-20.5), admission from a long term care facility (5.5, 1.4-22.6), age greater than 90 years (4.5, 0.9-22.1), and living at home with support (0.2, 0.03-0.9). Predictors of hospital stay from multivariate regression analysis in order of magnitude included presence of a post-operative complication (odds ratio with 95% CI: 14.1, 4.7-44), living at home with support (3.4, 1.3-8.9) and older age (> 85 years) (2.7, 1.0-7.3). Moreover, confusion, urinary tract infections and decubitus ulcers accounted for greater than 50% of all complications encountered. A trend between the number of positive predictors and length of hospital stay was observed. CONCLUSIONS: Elderly individuals admitted from a long term care facility are at high risk of mortality following operative fixation of hip fractures. Early recognition and aggressive management of post-operative complications such as confusion, urinary tract infections and decubitus ulcers through careful patient monitoring may decrease hospital stays in those that survive.


Language: en

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