Skip to main content

Advertisement

Log in

Predicting hospital length of stay and short-term function after hip or knee arthroplasty: are both performance and comorbidity measures useful?

  • Original Paper
  • Published:
International Orthopaedics Aims and scope Submit manuscript

Abstract

Purpose

Variations in hospital length of stay (LOS) and function are present after hip or knee arthroplasty. Comorbidity and performance measures have been associated with post-operative outcomes. It is however not known if both independently contribute to outcome prediction. The objective of this study was to evaluate the combined predictive ability of comorbidity scores (American Society of Anesthesiologists classification system (ASA), Charlson comorbidity index (CCI), 2008 version of the CCI (CCI08)) and a performance measure (Timed-Up-and-Go (TUG)) on LOS and short-term function in patients undergoing knee or hip arthroplasty.

Methods

One hundred eight patients undergoing hip or knee arthroplasty were assessed preoperatively with the ASA, CCI, CCI08, and TUG. LOS was determined through administrative data. The Older Americans Resources and Services ADL questionnaire (OARS) was used to assess function two and six weeks after surgery. Logistic regression was used to assess the relationship between pre-operative assessments and LOS and OARS scores.

Results

Both the ASA and TUG significantly contributed to LOS prediction. Odds ratio (OR) was 3.57 (95% confidence interval (CI) 1.26–10.07) for the ASA, and 2.18 (95% CI 1.67–4.15) for a one-standard deviation (SD) increase of 4.45 s of the TUG. Only the TUG was predictive of two weeks function and trending towards significance for six weeks function. One SD TUG increase yielded an OR of 2.14 (95% CI 1.53–3.79) for two week function.

Conclusions

The TUG and ASA can be used pre-operatively in combination to predict LOS, and TUG can also be used to predict short-term post-operative function.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bitar YFE, Illingworth KD, Scaife SL et al (2015) Hospital length of stay following primary total knee arthroplasty: data from the nationwide inpatient sample database. J Arthroplast 30:1710–1715

    Article  Google Scholar 

  2. Pugely AJ, Martin CT, Gao Y et al (2014) Comorbidities in patients undergoing total knee arthroplasty: do they influence hospital costs and length of stay? Clin Orthop Relat Res 472:3943–3950. https://doi.org/10.1007/s11999-014-3918-x

    Article  PubMed  PubMed Central  Google Scholar 

  3. Olthof M, Stevens M, Bulstra SK, van den Akker-Scheek I (2014) The association between comorbidity and length of hospital stay and costs in total hip arthroplasty patients: a systematic review. J Arthroplast 29:1009–1014. https://doi.org/10.1016/j.arth.2013.10.008

    Article  Google Scholar 

  4. Elings J, Hoogeboom TJ, van der Sluis G, van Meeteren NL (2015) What preoperative patient-related factors predict inpatient recovery of physical functioning and length of stay after total hip arthroplasty? A systematic review. Clin Rehabil 29:477–492. https://doi.org/10.1177/0269215514545349

    Article  CAS  PubMed  Google Scholar 

  5. Charlson ME, Charlson RE, Peterson JC et al (2008) The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol 61:1234–1240. https://doi.org/10.1016/j.jclinepi.2008.01.006

    Article  Google Scholar 

  6. Nankaku M, Tsuboyama T, Akiyama H et al (2013) Preoperative prediction of ambulatory status at 6 months after total hip arthroplasty. Phys Ther 93:88–93. https://doi.org/10.2522/ptj.20120016

    Article  PubMed  Google Scholar 

  7. Poitras S, Wood KS, Savard J et al (2015) Predicting early clinical function after hip or knee arthroplasty. Bone Joint Res 4:145–151. https://doi.org/10.1302/2046-3758.49.2000417

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Petis SM, Howard JL, Lanting BA et al (2016) Peri-operative predictors of length of stay following total hip arthroplasty. J Arthroplast (January 22)

  9. Toner A, Wallace G, Rowe J et al (2014) The relationship between pre-operative “timed get up and go”and length of stay in primary elective hip and knee arthroplasty patients. Osteoarthr Cartil 22:S380–S381

    Article  Google Scholar 

  10. Sharareh B, Le NB, Hoang MT, Schwarzkopf R (2014) Factors determining discharge destination for patients undergoing total joint arthroplasty. J Arthroplast 29:1355–1358.e1. https://doi.org/10.1016/j.arth.2014.02.001

    Article  Google Scholar 

  11. Podsiadlo D, Richardson S (1991) The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 39:142–148

    Article  CAS  Google Scholar 

  12. Steiner C, Andrews R, Barrett M, Weiss A (2012) HCUP projections: mobility/orthopedic procedures 2003 to 2012. US Agency for Healthcare Research and Quality, US Agency for Healthcare Research and Quality

  13. Peduzzi P, Concato J, Kemper E et al (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49:1373–1379

    Article  CAS  Google Scholar 

  14. Fillenbaum GG, Smyer MA (1981) The development, validity, and reliability of the OARS multidimensional functional assessment questionnaire. J Gerontol 36:428–434

    Article  CAS  Google Scholar 

  15. Haywood KL, Garratt AM, Fitzpatrick R (2005) Older people specific health status and quality of life: a structured review of self-assessed instruments. J Eval Clin Pract 11:315–327

    Article  Google Scholar 

  16. George LK, Ruiz Jr D, Sloan FA (2008) The effects of total hip arthroplasty on physical functioning in the older population. J Am Geriatr Soc 56:1057–1062. https://doi.org/10.1111/j.1532-5415.2008.01685.x

    Article  PubMed  Google Scholar 

  17. George LK, Ruiz Jr D, Sloan FA (2008) The effects of total knee arthroplasty on physical functioning in the older population. Arthritis Rheum 58:3166–3171. https://doi.org/10.1002/art.23888; 10.1002/art.23888

    Article  Google Scholar 

  18. Stratford PW, Kennedy DM, Riddle DL (2009) New study design evaluated the validity of measures to assess change after hip or knee arthroplasty. J Clin Epidemiol 62:347–352. https://doi.org/10.1016/j.jclinepi.2008.06.008

    Article  PubMed  Google Scholar 

  19. Hustey FM, Mion LC, Connor JT et al (2007) A brief risk stratification tool to predict functional decline in older adults discharged from emergency departments. J Am Geriatr Soc 55:1269–1274. https://doi.org/10.1111/j.1532-5415.2007.01272.x

    Article  PubMed  Google Scholar 

  20. Oosting E, Hoogeboom TJ, Appelman-de Vries SA et al (2016) Preoperative prediction of inpatient recovery of function after total hip arthroplasty using performance-based tests: a prospective cohort study. Disabil Rehabil 38:1243–1249. https://doi.org/10.3109/09638288.2015.1076074

    Article  PubMed  Google Scholar 

  21. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  Google Scholar 

  22. American Society of Anaesthesiologists (2014) ASA physical status classification system

  23. Harrison JD, Greysen RS, Jacolbia R, et al (2016) Not ready, not set… discharge: patient-reported barriers to discharge readiness at an academic medical center. J Hosp Med April 15:

  24. Partridge JS, Fuller M, Harari D et al (2015) Frailty and poor functional status are common in arterial vascular surgical patients and affect postoperative outcomes. Int J Surg 18:57–63. https://doi.org/10.1016/j.ijsu.2015.04.037

    Article  PubMed  Google Scholar 

  25. McAuley C, Westby MD, Hoens A, et al (2014) A survey of physiotherapists’ experience using outcome measures in total hip and knee arthroplasty. Physiother CanadaPhysiotherapie Canada 66:274–285. doi: https://doi.org/10.3138/ptc.2013-34

    Article  CAS  Google Scholar 

  26. Barsoum WK, Murray TG, Klika AK, et al (2010) Predicting patient discharge disposition after total joint arthroplasty in the United States. J Arthroplast 25:885–892. doi: 10.1016/j.arth.2009.06.022

    Article  Google Scholar 

  27. Bade MJ, Kohrt WM, Stevens-Lapsley JE (2010) Outcomes before and after total knee arthroplasty compared to healthy adults. J Orthop Sports Phys Ther 40:559–567. https://doi.org/10.2519/jospt.2010.3317

    Article  PubMed  PubMed Central  Google Scholar 

  28. Lubbeke A, Katz JN, Perneger TV, Hoffmeyer P (2007) Primary and revision hip arthroplasty: 5-year outcomes and influence of age and comorbidity. J Rheumatol 34:394–400

    PubMed  Google Scholar 

  29. Kennedy DM, Stratford PW, Hanna SE et al (2006) Modeling early recovery of physical function following hip and knee arthroplasty. BMC Musculoskelet Disord 7:100. https://doi.org/10.1186/1471-2474-7-100

    Article  PubMed  PubMed Central  Google Scholar 

  30. Jr JAZ, Snyder-Mackler L (2010) Early postoperative measures predict 1- and 2-year outcomes after unilateral total knee arthroplasty: importance of contralateral limb strength. Phys Ther 90:43–54

    Article  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge the contribution of Jae-Jin Ryu for the study coordination, Gillian Parker and Sarah Plamondon for patient recruitment and data collection, Lyne Cuerrier, Jennifer Forget, Yvonne Kossen, Chantale Pryor and Olena Tonkyhk for data collection.

Funding

This work was supported by a grant from The Ottawa Hospital Academic Medical Organization (TOHAMO).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stéphane Poitras.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

Ethical approval was obtained from The Ottawa Hospital ethical review board. All patients gave their informed written consent for participation in the study.

Electronic supplementary material

ESM 1

(DOCX 62 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Poitras, S., Au, K., Wood, K. et al. Predicting hospital length of stay and short-term function after hip or knee arthroplasty: are both performance and comorbidity measures useful?. International Orthopaedics (SICOT) 42, 2295–2300 (2018). https://doi.org/10.1007/s00264-018-3833-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00264-018-3833-y

Keywords

Navigation