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Fall Patterns Predict Mortality After Hip Fracture in Older Adults, Independent of Age, Sex, and Comorbidities

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Abstract

Falls are the most frequent cause of hip fracture. We aimed to investigate whether specific fall patterns have predictive value for mortality after hip fracture. In this cohort study, data of individuals presented to the Severance Hospital, Seoul, Korea, between 2005 and 2019 due to fragility hip fracture (n = 1986) were analyzed. Fall patterns were defined as causes, activities leading to falls, and a combination of both, based on electronic medical records using pre-specified classification from a prior study on video-captured falls. Mean age of study subjects were 77 years (71% women) and 211 patients (10.6%) died during follow-up (median 544 days). Indoor falls at home had a higher mortality than outdoor falls (11.9 vs. 8.0%, p = 0.009). Among 16 fall patterns, incorrect weight shift while sitting down (adjusted hazard ratio [aHR] 4.03) or getting up (aHR 2.01), collapse during low-risk activity (aHR 2.39), and slipping while walking (aHR 2.90, p < 0.01 for all) were associated with increased mortality compared to outdoor falls, after adjustment for age, sex, and Charlson comorbidity index (CCI), constituting a high-risk pattern. High-risk fall patterns were associated with a higher risk of mortality (aHR 2.56, p < 0.001) than low-risk patterns (aHR 1.37, p = 0.080) and outdoor falls (referent; log rank p < 0.001), which improved mortality prediction when added to a base model including age, sex, and CCI (integrative area under receiver-operating characteristics curve 0.675 to 0.698, p < 0.001). Specific fall patterns were associated with higher mortality in older adults with hip fracture, independent of age, sex, and comorbidities.

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Data Availability

The data analyzed in this study is available upon reasonable request to corresponding author (NH).

References

  1. Cooper C, Campion G, Melton LJ 3rd (1992) Hip fractures in the elderly: a world-wide projection. Osteoporos Int 2(6):285–289. https://doi.org/10.1007/bf01623184

    Article  CAS  PubMed  Google Scholar 

  2. Maggi S, Kelsey JL, Litvak J, Heyse SP (1991) Incidence of hip fractures in the elderly: a cross-national analysis. Osteoporos Int 1(4):232–241. https://doi.org/10.1007/BF03187467

    Article  CAS  PubMed  Google Scholar 

  3. Melton LJ, Cooper C (2001) Chapter 21 - Magnitude and impact of osteoporosis and fractures. In: Marcus R, Feldman D, Kelsey J (eds) Osteoporosis, 2nd edn. Academic Press, San Diego, pp 557–567

    Chapter  Google Scholar 

  4. Michaëlsson K, Nordström P, Nordström A, Garmo H, Byberg L, Pedersen NL, Melhus H (2014) Impact of hip fracture on mortality: a cohort study in hip fracture discordant identical twins. J Bone Miner Res 29(2):424–431. https://doi.org/10.1002/jbmr.2029

    Article  PubMed  Google Scholar 

  5. Abrahamsen B, van Staa T, Ariely R, Olson M, Cooper C (2009) Excess mortality following hip fracture: a systematic epidemiological review. Osteoporos Int 20(10):1633–1650. https://doi.org/10.1007/s00198-009-0920-3

    Article  CAS  PubMed  Google Scholar 

  6. Beer C, Xiao J, Flicker L, Almeida OP (2007) Long-term mortality following stroke, myocardial infarction and fractured neck of femur in Western Australia. Intern Med J 37(12):815–819. https://doi.org/10.1111/j.1445-5994.2007.01400.x

    Article  CAS  PubMed  Google Scholar 

  7. Grisso JA, Schwarz DF, Wishner AR, Weene B, Holmes JH, Sutton RL (1990) Injuries in an elderly inner-city population. J Am Geriatr Soc 38(12):1326–1331. https://doi.org/10.1111/j.1532-5415.1990.tb03456.x

    Article  CAS  PubMed  Google Scholar 

  8. Palvanen M, Kannus P, Parkkari J, Pitkajarvi T, Pasanen M, Vuori I, Jarvinen M (2000) The injury mechanisms of osteoporotic upper extremity fractures among older adults: a controlled study of 287 consecutive patients and their 108 controls. Osteoporos Int 11(10):822–831. https://doi.org/10.1007/s001980070040

    Article  CAS  PubMed  Google Scholar 

  9. Robinovitch SN, Feldman F, Yang Y, Schonnop R, Leung PM, Sarraf T, Sims-Gould J, Loughin M (2013) Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study. Lancet 381(9860):47–54. https://doi.org/10.1016/S0140-6736(12)61263-X

    Article  PubMed  Google Scholar 

  10. Leavy B, Byberg L, Michaelsson K, Melhus H, Aberg AC (2015) The fall descriptions and health characteristics of older adults with hip fracture: a mixed methods study. BMC Geriatr 15:40. https://doi.org/10.1186/s12877-015-0036-x

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ganz DA, Bao Y, Shekelle PG, Rubenstein LZ (2007) Will my patient fall? Jama 297(1):77–86. https://doi.org/10.1001/jama.297.1.77

    Article  PubMed  Google Scholar 

  12. Yang Y, Schonnop R, Feldman F, Robinovitch SN (2013) Development and validation of a questionnaire for analyzing real-life falls in long-term care captured on video. BMC Geriatr 13:40. https://doi.org/10.1186/1471-2318-13-40

    Article  PubMed  PubMed Central  Google Scholar 

  13. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174

    Article  CAS  PubMed  Google Scholar 

  14. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA (2005) Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 43(11):1130–1139. https://doi.org/10.1097/01.mlr.0000182534.19832.83

    Article  PubMed  Google Scholar 

  15. Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, Januel JM, Sundararajan V (2011) Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 173(6):676–682. https://doi.org/10.1093/aje/kwq433

    Article  PubMed  Google Scholar 

  16. Charlson M, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47(11):1245–1251. https://doi.org/10.1016/0895-4356(94)90129-5

    Article  CAS  PubMed  Google Scholar 

  17. Leavy B, Michaëlsson K, Åberg AC, Melhus H, Byberg L (2017) The impact of disease and drugs on hip fracture risk. Calcif Tissue Int 100(1):1–12. https://doi.org/10.1007/s00223-016-0194-7

    Article  CAS  PubMed  Google Scholar 

  18. Bergeron E, Moore L, Fournier K, Gravel C, Lavoie A (2009) Patients with isolated hip fracture must be considered for surgery irrespectively of their age, comorbidity status and provenance: a statement applicable even to nonagerians. Arch Orthop Trauma Surg 129(11):1549–1555. https://doi.org/10.1007/s00402-009-0888-7

    Article  PubMed  Google Scholar 

  19. Abeysekera WWM, Sooriyarachchi R (2009) Use of Schoenfeld’s global test to test the proportional hazards assumption in the Cox proportional hazards model: an application to a clinical study. J Natl Sci Found Sri Lanka. https://doi.org/10.4038/jnsfsr.v37i1.456

    Article  Google Scholar 

  20. Kamarudin AN, Cox T, Kolamunnage-Dona R (2017) Time-dependent ROC curve analysis in medical research: current methods and applications. BMC Med Res Methodol 17(1):53. https://doi.org/10.1186/s12874-017-0332-6

    Article  PubMed  PubMed Central  Google Scholar 

  21. Team R (2006) A language and environment for statistical computing. Computing. https://doi.org/10.1890/0012-9658(2002)083[3097:CFHIWS]2.0.CO;2

    Article  Google Scholar 

  22. Aharonoff GB, Koval KJ, Skovron ML, Zuckerman JD (1997) Hip fractures in the elderly: predictors of one year mortality. J Orthop Trauma 11(3):162–165. https://doi.org/10.1097/00005131-199704000-00004

    Article  CAS  PubMed  Google Scholar 

  23. Farahmand BY, Michaëlsson K, Ahlbom A, Ljunghall S, Baron JA (2005) Survival after hip fracture. Osteopor Int 16(12):1583–1590. https://doi.org/10.1007/s00198-005-2024-z

    Article  Google Scholar 

  24. Cher EWL, Allen JC, Howe TS, Koh JSB (2019) Comorbidity as the dominant predictor of mortality after hip fracture surgeries. Osteoporos Int 30(12):2477–2483. https://doi.org/10.1007/s00198-019-05139-8

    Article  PubMed  Google Scholar 

  25. Bath PA, Morgan K (1999) Differential risk factor profiles for indoor and outdoor falls in older people living at home in Nottingham, UK. Eur J Epidemiol 15(1):65–73. https://doi.org/10.1023/a:1007531101765

    Article  CAS  PubMed  Google Scholar 

  26. Jiang HX, Majumdar SR, Dick DA, Moreau M, Raso J, Otto DD, Johnston DW (2005) Development and initial validation of a risk score for predicting in-hospital and 1-year mortality in patients with hip fractures. J Bone Miner Res 20(3):494–500. https://doi.org/10.1359/jbmr.041133

    Article  CAS  PubMed  Google Scholar 

  27. Modig K, Erdefelt A, Mellner C, Cederholm T, Talbäck M, Hedström M (2019) “Obesity paradox” holds true for patients with hip fracture: a registry-based cohort study. J Bone Joint Surg Am 101(10):888–895. https://doi.org/10.2106/jbjs.18.01249

    Article  PubMed  Google Scholar 

  28. Cumming RG, Klineberg RJ (1994) Fall frequency and characteristics and the risk of hip fractures. J Am Geriatr Soc 42(7):774–778. https://doi.org/10.1111/j.1532-5415.1994.tb06540.x

    Article  CAS  PubMed  Google Scholar 

  29. Berg WP, Alessio HM, Mills EM, Tong C (1997) Circumstances and consequences of falls in independent community-dwelling older adults. Age Ageing 26(4):261–268. https://doi.org/10.1093/ageing/26.4.261

    Article  CAS  PubMed  Google Scholar 

  30. Lach HW, Reed AT, Arfken CL, Miller JP, Paige GD, Birge SJ, Peck WA (1991) Falls in the elderly: reliability of a classification system. J Am Geriatr Soc 39(2):197–202. https://doi.org/10.1111/j.1532-5415.1991.tb01626.x

    Article  CAS  PubMed  Google Scholar 

  31. Millington PJ, Myklebust BM, Shambes GM (1992) Biomechanical analysis of the sit-to-stand motion in elderly persons. Arch Phys Med Rehabil 73(7):609–617

    CAS  PubMed  Google Scholar 

  32. Winter DA, Patla AE, Frank JS, Walt SE (1990) Biomechanical walking pattern changes in the fit and healthy elderly. Phys Ther 70(6):340–347. https://doi.org/10.1093/ptj/70.6.340

    Article  CAS  PubMed  Google Scholar 

  33. Welch SA, Ward RE, Beauchamp MK, Leveille SG, Travison T, Bean JF (2020) The short physical performance battery (SPPB): a quick and useful tool for fall risk stratification among older primary care patients. J Am Med Dir Assoc. https://doi.org/10.1016/j.jamda.2020.09.038

    Article  PubMed  Google Scholar 

  34. Hars M, Audet MC, Herrmann F, De Chassey J, Rizzoli R, Reny JL, Gold G, Ferrari S, Trombetti A (2018) Functional performances on admission predict in-hospital falls, injurious falls, and fractures in older patients: a prospective study. J Bone Miner Res 33(5):852–859. https://doi.org/10.1002/jbmr.3382

    Article  PubMed  Google Scholar 

  35. Pavasini R, Guralnik J, Brown JC et al (2016) Short physical performance battery and all-cause mortality: systematic review and meta-analysis. BMC Med 14(1):215. https://doi.org/10.1186/s12916-016-0763-7

    Article  PubMed  PubMed Central  Google Scholar 

  36. Brito LB, Ricardo DR, Araújo DS, Ramos PS, Myers J, Araújo CG (2014) Ability to sit and rise from the floor as a predictor of all-cause mortality. Eur J Prev Cardiol 21(7):892–898. https://doi.org/10.1177/2047487312471759

    Article  PubMed  Google Scholar 

  37. Cawthon PM, Fullman RL, Marshall L, Mackey DC, Fink HA, Cauley JA, Cummings SR, Orwoll ES, Ensrud KE, Fractures in Men Research Group (2008) Physical performance and risk of hip fractures in older men. J Bone Miner Res 23(7):1037–1044. https://doi.org/10.1359/jbmr.080227

    Article  PubMed  PubMed Central  Google Scholar 

  38. Cruz-Jentoft AJ, Bahat G, Bauer J et al (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48(1):16–31. https://doi.org/10.1093/ageing/afy169

    Article  PubMed  Google Scholar 

  39. Chen LK, Woo J, Assantachai P et al (2020) Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc 21(3):300-307.e302. https://doi.org/10.1016/j.jamda.2019.12.012

    Article  PubMed  Google Scholar 

  40. Batchelor FA, Mackintosh SF, Said CM, Hill KD (2012) Falls after stroke. Int J Stroke 7(6):482–490. https://doi.org/10.1111/j.1747-4949.2012.00796.x

    Article  PubMed  Google Scholar 

  41. Lawlor DA, Patel R, Ebrahim S (2003) Association between falls in elderly women and chronic diseases and drug use: cross sectional study. Bmj 327(7417):712–717. https://doi.org/10.1136/bmj.327.7417.712

    Article  PubMed  PubMed Central  Google Scholar 

  42. Brennan nee Saunders J, Johansen A, Butler J, Stone M, Richmond P, Jones S, Lyons RA (2003) Place of residence and risk of fracture in older people: a population-based study of over 65-year-olds in Cardiff. Osteoporos Int 14(6):515–519. https://doi.org/10.1007/s00198-003-1404-5

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Doori Cho, the members of the SENTINEL team for assistance in the data gathering process (Sung-Kil Lim Research Award 2019, 4-2018-1215).

Funding

This research was supported by the grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), the Ministry of Health & Welfare, Republic of Korea (Grant Number: HI19C0189), and Severance Hospital Research fund for Clinical Excellence (SHRC C-2019-0032, C-2020-0035).

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Authors

Contributions

SWB and NH conceptualized and designed the study. SWB performed data cleaning and initial data analysis. SWB and NH performed statistical analyses. SWB wrote the initial draft of the manuscript. NH is a guarantor of data quality and analysis. All authors critically revised the manuscript and approved the final manuscript.

Corresponding author

Correspondence to Namki Hong.

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Conflict of interest

Seung Won Burm, Namki Hong, Seung Hyun Lee, Minheui Yu, Ji Hoon Kim, Kwan Kyu Park, and Yumie Rhee declare no conflicts of interest for this study.

Human and Animal Rights and Informed Consent

This study was approved by the institutional review board of Severance Hospital, Seoul, Korea (4-2020-1228) with the waiver of informed consent for medical record review. All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments.

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Burm, S.W., Hong, N., Lee, S.H. et al. Fall Patterns Predict Mortality After Hip Fracture in Older Adults, Independent of Age, Sex, and Comorbidities. Calcif Tissue Int 109, 372–382 (2021). https://doi.org/10.1007/s00223-021-00846-z

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