Literature DB >> 31695265

A predictive model for increased hospital length of stay following geriatric hip fracture.

Olivia M Knoll1, Nikita Lakomkin2, Michelle S Shen3, Moses Adebayo4, Parth Kothari5, Ashley C Dodd6, Basem Attum7, Nathan Lee5, Deepak Chona8, Manish K Sethi1.   

Abstract

BACKGROUND: The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator.
MATERIALS AND METHODS: This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS.
RESULTS: 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855).
CONCLUSIONS: This study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.
© 2019.

Entities:  

Keywords:  Hip fractures; Length of stay; Risk factors

Year:  2019        PMID: 31695265      PMCID: PMC6823779          DOI: 10.1016/j.jcot.2019.03.024

Source DB:  PubMed          Journal:  J Clin Orthop Trauma        ISSN: 0976-5662


  21 in total

1.  Beyond ACOs and bundled payments: Medicare's shift toward accountability in fee-for-service.

Authors:  Christopher Chen; D Clay Ackerly
Journal:  JAMA       Date:  2014-02-19       Impact factor: 56.272

2.  Length of stay, mortality, morbidity and delay to surgery in hip fractures.

Authors:  K A Lefaivre; S A Macadam; D J Davidson; R Gandhi; H Chan; H M Broekhuyse
Journal:  J Bone Joint Surg Br       Date:  2009-07

3.  In-hospital charges associated with the treatment of adult femoral neck fractures.

Authors:  T S Beck; M R Brinker; W J Daum
Journal:  Am J Orthop (Belle Mead NJ)       Date:  1996-09

4.  Predictors of length of hospital stay in elderly hip fracture patients.

Authors:  Christopher A Brown; Steven Olson; Robert Zura
Journal:  J Surg Orthop Adv       Date:  2013

Review 5.  Estimating hip fracture morbidity, mortality and costs.

Authors:  R Scott Braithwaite; Nananda F Col; John B Wong
Journal:  J Am Geriatr Soc       Date:  2003-03       Impact factor: 5.562

6.  Predictors of outcome following hip fracture. Admission time predicts length of stay and in-hospital mortality.

Authors:  John E Clague; Elaine Craddock; Glynn Andrew; Michael A Horan; Neil Pendleton
Journal:  Injury       Date:  2002-01       Impact factor: 2.586

7.  Hip fracture: a prospective study of hospital course, complications, and costs.

Authors:  E W Campion; A M Jette; P D Cleary; B A Harris
Journal:  J Gen Intern Med       Date:  1987 Mar-Apr       Impact factor: 5.128

8.  Patient variables which may predict length of stay and hospital costs in elderly patients with hip fracture.

Authors:  Anna E Garcia; J V Bonnaig; Zachary T Yoneda; Justin E Richards; Jesse M Ehrenfeld; William T Obremskey; A Alex Jahangir; Manish K Sethi
Journal:  J Orthop Trauma       Date:  2012-11       Impact factor: 2.512

9.  Evolution of the hip fracture population: time to consider the future? A retrospective observational analysis.

Authors:  Paul N Baker; Omer Salar; Benjamin J Ollivere; Daren P Forward; Namal Weerasuriya; Iain K Moppett; Chris G Moran
Journal:  BMJ Open       Date:  2014-04-19       Impact factor: 2.692

10.  Predicting length of stay from an electronic patient record system: a primary total knee replacement example.

Authors:  Evelene M Carter; Henry W W Potts
Journal:  BMC Med Inform Decis Mak       Date:  2014-04-04       Impact factor: 2.796

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  3 in total

1.  Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?

Authors:  Sanjit R Konda; Joseph R Johnson; Erin A Kelly; Jeffrey Chan; Thomas Lyon; Kenneth A Egol
Journal:  Geriatr Orthop Surg Rehabil       Date:  2020-08-05

2.  Differences in hospital length of stay and total hospital charge by income level in patients hospitalized for hip fractures.

Authors:  Anthony J Milto; Youssef El Bitar; Steven L Scaife; Sowmyanarayanan Thuppal
Journal:  Osteoporos Int       Date:  2022-01-06       Impact factor: 5.071

3.  Length of Hospital Stay for Hip Fracture and 30-Day Mortality in People With Alzheimer's Disease: A Cohort Study in Finland.

Authors:  Piia Lavikainen; Marjaana Koponen; Heidi Taipale; Antti Tanskanen; Jari Tiihonen; Sirpa Hartikainen; Anna-Maija Tolppanen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-10-15       Impact factor: 6.053

  3 in total

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