The 30-day survival and recovery after hip fracture by timing of mobilization and dementia : a UK database study

Aicha Goubar, Finbarr C Martin, Chris Potter, Gareth D Jones, Catherine Sackley, Salma Ayis, Katie J Sheehan, Aicha Goubar, Finbarr C Martin, Chris Potter, Gareth D Jones, Catherine Sackley, Salma Ayis, Katie J Sheehan

Abstract

Aims: The aim of this study to compare 30-day survival and recovery of mobility between patients mobilized early (on the day of, or day after surgery for a hip fracture) and patients mobilized late (two days or more after surgery), and to determine whether the presence of dementia influences the association between the timing of mobilization, 30-day survival, and recovery.

Methods: Analysis of the National Hip Fracture Database and hospital records for 126,897 patients aged ≥ 60 years who underwent surgery for a hip fracture in England and Wales between 2014 and 2016. Using logistic regression, we adjusted for covariates with a propensity score to estimate the association between the timing of mobilization, survival, and recovery of walking ability.

Results: A total of 99,667 patients (79%) mobilized early. Among those mobilized early compared to those mobilized late, the weighted odds ratio of survival was 1.92 (95% confidence interval (CI) 1.80 to 2.05), of recovering outdoor ambulation was 1.25 (95% CI 1.03 to 1.51), and of recovering indoor ambulation was 1.53 (95% CI 1.32 to 1.78) by 30 days. The weighted probabilities of survival at 30 days post-admission were 95.9% (95% CI 95.7% to 96.0%) for those who mobilized early and 92.4% (95% CI 92.0% to 92.8%) for those who mobilized late. The weighted probabilities of regaining the ability to walk outdoors were 9.7% (95% CI 9.2% to 10.2%) and indoors 81.2% (95% CI 80.0% to 82.4%), for those who mobilized early, and 7.9% (95% CI 6.6% to 9.2%) and 73.8% (95% CI 71.3% to 76.2%), respectively, for those who mobilized late. Patients with dementia were less likely to mobilize early despite observed associations with survival and ambulation recovery for those with and without dementia.

Conclusion: Early mobilization is associated with survival and recovery for patients (with and without dementia) after hip fracture. Early mobilization should be incorporated as a measured indicator of quality. Reasons for failure to mobilize early should also be recorded to inform quality improvement initiatives. Cite this article: Bone Joint J 2021;103-B(7):1317-1324.

Keywords: Cognitive impairment; Mortality; Neck of femur; Weightbearing.

Figures

Figure 1. Weighted probability of survival at…
Figure 1. Weighted probability of survival at 30 days from admission in relation to timing of mobilization, overall, and by dementia.
Figure 2
Figure 2
(a, b): a) Weighted probability of recovery at 30 days from admission in relation to timing of mobilization by ambulation prefracture. b) Weighted probability of recovery at 30 days from admission in relation to timing of mobilization by ambulation prefracture and dementia.

References

    1. Royal College of Physicians. National Hip Fracture Database annual report 2019. RCP; London:
    1. Neuburger J, Currie C, Wakeman R, et al. The Impact of a National Clinician-led Audit Initiative on Care and Mortality after Hip Fracture in England: An External Evaluation using Time Trends in Non-audit Data. MedCare. 2015;53(8):686–91.
    1. National Clinical Guideline Centre. The management of hip fracture in adults. National Clinical Guidelines Centre; London: 2011.
    1. Benchimol EI, Smeeth L, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12(10):e1001885.
    1. Siu AL, Penrod JD, Boockvar KS, et al. Early ambulation after hip fracture: effects on function and mortality. ArchInternMed. 2006;166(7):766–71.
    1. Su B, Newson R, Soljak H, et al. Associations between post-operative rehabilitation of hip fracture and outcomes: national database analysis. BMC Musculoskelet Disord. 2018;19(1):211.
    1. Sheehan KJ, Goubar A, Almilaji O, et al. Discharge after hip fracture surgery by mobilisation timing: secondary analysis of the UK National Hip Fracture Database. Age Ageing. 2020 doi: 10.1093/ageing/afaa204.
    1. Bai J, Zhang P, Liang X, et al. Association between dementia and mortality in the elderly patients undergoing hip fracture surgery: a meta-analysis. J Orthop Surg Res. 2018;13(1):298.
    1. Huusko TM, Karppi P, Avikainen V, et al. Randomised, clinically controlled trial of intensive geriatric rehabilitation in patients with hip fracture: subgroup analysis of patients with dementia. BMJ. 2000;321(7269):1107–11.
    1. Royal College of Physicians. National Hip Fracture Database annual report 2016. RCP; London:
    1. StataCorp. Stata Statistical Software: Release 16. StataCorp LLC; College Station, TX: 2019.
    1. Leuven E, Sianesi B. PSMATCH2: Stata Module to Perform Full Mahalanobis and Propensity Score Matching, Common Support Graphing, and Covariate Imbalance Testing [program] 2003
    1. Newson Roger. SCENTTEST: Stata module to compute scenario arithmetic means and their difference. 2015 .
    1. Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011;46(3):399–424.
    1. White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011;30(4):377–99.
    1. Graham JW, Olchowski AE, Gilreath TD. How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prev Sci. 2007;8(3):206–13.
    1. Rubin DB. Multiple imputation for nonresponse in surveys. John Wiley and Sons; New York: 1987.
    1. Penning de Vries B, Groenwold R. Comments on propensity score matching following multiple imputation. Stat Methods Med Res. 2016;25(6):3066–68.
    1. Mitra R, Reiter JP. A comparison of two methods of estimating propensity scores after multiple imputation. Stat Methods Med Res. 2016;25(1):188–204.
    1. Kamel HK, Iqbal MA, Mogallapu R, et al. Time to ambulation after hip fracture surgery: relation to hospitalization outcomes. J Gerontol A Biol Sci Med Sci. 2003;58(11):1042–5.
    1. Ferris H, Brent L, Coughlan T. Early mobilisation reduces the risk of in-hospital mortality following hip fracture. Eur Geriatr Med. 2020
    1. Oldmeadow LB, Edwards ER, Kimmel LA, et al. No rest for the wounded: early ambulation after hip surgery accelerates recovery. ANZ J Surg. 2006;76(7):607–11.
    1. Sobolev B, Guy P, Sheehan KJ, et al. Mortality effects of timing alternatives for hip fracture surgery. CMAJ. 2018;190(31):E923–E32.
    1. Kristensen PK, Thillemann TM, Soballe K, et al. Can improved quality of care explain the success of orthogeriatric units? A population-based cohort study. Age Ageing. 2016;45(1):66–71.
    1. Johansen A, Golding D, Brent L, et al. Using national hip fracture registries and audit databases to develop an international perspective. Injury. 2017;48(10):2174–79.
    1. Hall AJ, Watkins R, Lang IA, et al. The experiences of physiotherapists treating people with dementia who fracture their hip. BMC Geriatr. 2017;17(1):91.
    1. Cundall-Curry DJ, Lawrence JE, Fountain DM, et al. Data errors in the National Hip Fracture Database: a local validation study. Bone Joint J. 2016;98-B(10):1406–09.
    1. Uzoigwe CE, O’Leary L, Nduka J, et al. Factors associated with delirium and cognitive decline following hip fracture surgery. Bone Joint J. 2020;102-B(12):1675–81.
    1. Royal College of Physicians. Recovering after a hip fracture: helping people understand physiotherapy in the NHS. Physiotherapy ‘Hip Sprint’ audit report; London: 2017. Falls and Fragility Fracture Audit Programme.
    1. Neuburger J, Harding KA, Bradley RJ, et al. Variation in access to community rehabilitation services and length of stay in hospital following a hip fracture: a cross-sectional study. BMJ Open. 2014;4(9):e005469
    1. National Benchmarking Network. National Audit of Intermediate Care. Summary Report - England. Assessing progress in services aimed at maximising independence and reducing use of hospitals. NHS England; 2017. pp. 38–41.

Source: PubMed

3
Subscribe