Ann Rehabil Med.  2016 Aug;40(4):666-674. 10.5535/arm.2016.40.4.666.

Prediction of Ambulatory Status After Hip Fracture Surgery in Patients Over 60 Years Old

Affiliations
  • 1Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. guitarren.kim@samsung.com

Abstract


OBJECTIVE
To predict ambulatory capacity, 1 month after physical therapy following hip fracture surgery.
METHODS
A retrospective chart review was carried out. Patients more than 60 years old, who underwent hip fracture surgery and received physical therapies, were selected (n=548). Age, gender, presence of cognitive dysfunction, combined medical diseases, combined fractures, previous history of hip surgery, prefracture ambulatory capacity, days from the fracture to surgery, type of fracture, type of surgery, presence of postoperative complications, days from the surgery to physical therapy, and total admission period, were collected. Prefracture ambulatory capacity and postoperative ambulatory capacity were classified into non-ambulatory status (NA), ambulation with assistive device (AA), and independent-ambulation without any assistive device (IA). Multiple-logistic regression analysis was performed for the prediction of postoperative ambulatory capacity.
RESULTS
Age (odds ratio [OR]=0.94 for IA and 0.96 for IA or AA), gender (OR=1.64 for IA and 0.98 for IA or AA), prefracture ambulatory capacity (OR of IA=19.17 for IA; OR of IA=16.72 for IA or AA; OR of AA=1.26 for IA, OR of AA=9.46 for IA or AA), and combined medical disease (OR=2.02) were found to be the factors related to postoperative ambulatory capacity and the prediction model was set up using these four factors.
CONCLUSION
Using this model, we can predict the ambulatory capacity following hip fracture surgery. Further prospective studies should be constructed to improve postoperative ambulatory capacity.

Keyword

Hip fractures; Walking; Dependent ambulation; Prognosis; Aged; Surgery

MeSH Terms

Dependent Ambulation
Hip Fractures
Hip*
Humans
Postoperative Complications
Prognosis
Prospective Studies
Retrospective Studies
Self-Help Devices
Walking

Figure

  • Fig. 1 (A) Distribution of age, (B) total admission period, (C) days from the fracture to surgery, and (D) days from the surgery to rehabilitation, according to the postoperative ambulatory capacity presented. The boxes are averages and the lines are one standard deviation. NA, non-ambulatory status; AA, ambulation with assistive device; IA, independent-ambulation without device.

  • Fig. 2 Proportions of postoperative ambulatory capacity are presented according to the prefracture ambulatory capacity, gender, and presence of combined medical disease. (A) Prefracture ambulatory capacity is "NA", (B) prefracture ambulatory capacity is "IA", (C) prefracture ambulatory capacity is "AA". NA, non-ambulatory status; AA, ambulation with assistive device; IA, independent-ambulation without device; 1, Man, no combined medical disease; 2, Man, combined medical disease; 3, Woman, no combined medical disease; 4, Woman, combined medical disease.

  • Fig. 3 The equation of the prediction model. NA, non-ambulatory status; AA, ambulation with assistive device; IA, independent-ambulation without device.

  • Fig. 4 Probability of postoperative ambulatory status in several cases. IA, independent-ambulation without device, AA, ambulation with assistive device; NA, non-ambulatory status.


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Reference

1. Fuller GF. Falls in the elderly. Am Fam Physician. 2000; 61:2159–2168. 2173–2174. PMID: 10779256.
2. Rose S, Maffulli N. Hip fractures: an epidemiological review. Bull Hosp Jt Dis. 1999; 58:197–201. PMID: 10711369.
3. Lim JY, Park WB, Oh MK, Kang EK, Paik NJ. Falls in a proportional region population in Korean elderly: incidence, consequences, and risk factors. J Korean Geriatr Soc. 2010; 14:8–17.
Article
4. Cooper C. The crippling consequences of fractures and their impact on quality of life. Am J Med. 1997; 103:12S–19S. PMID: 9302893.
Article
5. Dubljanin-Raspopovic E, Markovic Denic L, Marinkovic J, Grajic M, Tomanovic Vujadinovic S, Bumbasirevic M. Use of early indicators in rehabilitation process to predict one-year mortality in elderly hip fracture patients. Hip Int. 2012; 22:661–667. PMID: 23233176.
6. Van Hook FW, Demonbreun D, Weiss BD. Ambulatory devices for chronic gait disorders in the elderly. Am Fam Physician. 2003; 67:1717–1724. PMID: 12725450.
7. Levin P. Ambulatory assistive devices in orthopaedics: uses and modifications. J Am Acad Orthop Surg. 2010; 18:315–316. PMID: 20511435.
8. Kristensen MT. Factors affecting functional prognosis of patients with hip fracture. Eur J Phys Rehabil Med. 2011; 47:257–264. PMID: 21597435.
9. Hershkovitz A, Kalandariov Z, Hermush V, Weiss R, Brill S. Factors affecting short-term rehabilitation outcomes of disabled elderly patients with proximal hip fracture. Arch Phys Med Rehabil. 2007; 88:916–921. PMID: 17601474.
Article
10. Folden S, Tappen R. Factors influencing function and recovery following hip repair surgery. Orthop Nurs. 2007; 26:234–241. PMID: 17882100.
Article
11. Foss NB, Kristensen MT, Kehlet H. Prediction of postoperative morbidity, mortality and rehabilitation in hip fracture patients: the cumulated ambulation score. Clin Rehabil. 2006; 20:701–708. PMID: 16944827.
Article
12. Semel J, Gray JM, Ahn HJ, Nasr H, Chen JJ. Predictors of outcome following hip fracture rehabilitation. PM R. 2010; 2:799–805. PMID: 20869677.
Article
13. Bellelli G, Noale M, Guerini F, Turco R, Maggi S, Crepaldi G, et al. A prognostic model predicting recovery of walking independence of elderly patients after hip-fracture surgery: an experiment in a rehabilitation unit in Northern Italy. Osteoporos Int. 2012; 23:2189–2200. PMID: 22222753.
Article
14. Mungas D. In-office mental status testing: a practical guide. Geriatrics. 1991; 46:54–58. 6366PMID: 2060803.
15. Bohannon RW. Scoring transfer and locomotion independence of home care patients: Barthel versus functional independence measure. Int J Rehabil Res. 1999; 22:65–66. PMID: 10207754.
16. Holt G, Smith R, Duncan K, Hutchison JD, Gregori A. Gender differences in epidemiology and outcome after hip fracture: evidence from the Scottish Hip Fracture Audit. J Bone Joint Surg Br. 2008; 90:480–483. PMID: 18378923.
17. Lee D, Jo JY, Jung JS, Kim SJ. Prognostic factors predicting early recovery of pre-fracture functional mobility in elderly patients with hip fracture. Ann Rehabil Med. 2014; 38:827–835. PMID: 25566483.
Article
18. Lieberman D, Fried V, Castel H, Weitzmann S, Lowenthal MN, Galinsky D. Factors related to successful rehabilitation after hip fracture: a case-control study. Disabil Rehabil. 1996; 18:224–230. PMID: 8743299.
Article
19. Keevil VL, Hayat S, Dalzell N, Moore S, Bhaniani A, Luben R, et al. The physical capability of community-based men and women from a British cohort: the European Prospective Investigation into Cancer (EPIC)-Norfolk study. BMC Geriatr. 2013; 13:93. PMID: 24020915.
Article
20. Haentjens P, Autier P, Barette M, Venken K, Vanderschueren D, Boonen S, et al. Survival and functional outcome according to hip fracture type: a one-year prospective cohort study in elderly women with an intertrochanteric or femoral neck fracture. Bone. 2007; 41:958–964. PMID: 17913614.
Article
21. Mathew RO, Hsu WH, Young Y. Effect of comorbidity on functional recovery after hip fracture in the elderly. Am J Phys Med Rehabil. 2013; 92:686–696. PMID: 23370578.
Article
22. Kenzora JE, McCarthy RE, Lowell JD, Sledge CB. Hip fracture mortality: relation to age, treatment, preoperative illness, time of surgery, and complications. Clin Orthop Relat Res. 1984; (186):45–56. PMID: 6723159.
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