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Predictive factors for thirty day mortality in geriatric patients with hip fractures: a prospective study

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Abstract

Purpose

The study aims to analyze the incidence of 30-day mortality in elderly patients who underwent surgery for hip fractures and its associated factors.

Methods

A prospective multicentric study was performed. All patients aged ≥ 65 years, with fragility hip fractures, consecutively admitted in two Italian hospitals were included. Patients with periprosthetic or pathological fractures were excluded. Logistic regression was used to identify patient and patient care variables that independently influenced the 30-day mortality and receiver operating characteristic (ROC) curve analysis to assess their predictive capacity on the outcome.

Results

Of the patients, 728 met the inclusion criteria, of whom approximately 5% died within 30 days after admission. The 45.7% of the deceased patients died while hospitalized. Multivariate analysis showed that advancing age was the only independent predictor of 30-day mortality (OR = 1.084, 95% CI = 1.024–1.147), while a higher presence of informal caregivers was a protective factor (OR = 0.988, 95% CI = 0.979–0.997). The area under the ROC curve of the model was 0.723 (CI95% 0.676–0.770) for 30-day mortality in elderly hip fractures patients.

Conclusions

Patients with an advanced age need careful follow-up, especially within 30 days following operation for hip fracture; at the same time, the presence of informal caregivers at the patient’s bedside should be promoted.

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References

  1. Sheikh HQ, Hossain FS, Aqil A, Akinbamijo B, Mushtaq V, Kapoor H (2017) A comprehensive analysis of the causes and predictors of 30-day mortality following hip fracture surgery. Clin Orthop Surg 9(1):10–18. https://doi.org/10.4055/cios.2017.9.1.10

    Article  PubMed  PubMed Central  Google Scholar 

  2. Piscitelli P, Feola M, Rao C, Celi M, Gasbarra E, Neglia C, Quarta G, Liuni FM, Parri S, Iolascon G, Brandi ML, Distante A, Tarantino U (2014) Ten years of hip fractures in Italy: for the first time a decreasing trend in elderly women. World J Orthop 5(3):386–391. https://doi.org/10.5312/wjo.v5.i3.386

    Article  PubMed  PubMed Central  Google Scholar 

  3. Sheehan KJ, Sobolev B, Chudyk A, Stephens T, Guy P (2016) Patient and system factors of mortality after hip fracture: a scoping review. BMC Musculoskelet Disord 17:166. https://doi.org/10.1186/s12891-016-1018-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Khan MA, Hossain FS, Ahmed I, Muthukumar N, Mohsen A (2013) Predictors of early mortality after hip fracture surgery. Int Orthop 37(11):2119–2124. https://doi.org/10.1007/s00264-013-2068-1

    Article  PubMed  PubMed Central  Google Scholar 

  5. Hu F, Jiang C, Shen J, Tang P, Wang Y (2012) Preoperative predictors for mortality following hip fracture surgery: a systematic review and meta-analysis. Injury 43(6):676–685. https://doi.org/10.1016/j.injury.2011.05.017

    Article  PubMed  Google Scholar 

  6. Choi HJ, Kim E, Shin YJ, Choi BY, Kim YH, Lim TH (2014) The timing of surgery and mortality in elderly hip fractures: a retrospective, multicenteric cohort study. Indian J Orthop 48(6):599–604. https://doi.org/10.4103/0019-5413.144232

    Article  PubMed  PubMed Central  Google Scholar 

  7. Bretherton CP, Parker MJ (2015) Early surgery for patients with a fracture of the hip decreases 30-day mortality. Bone Joint J 97-B(1):104–108. https://doi.org/10.1302/0301-620X.97B1.35041

    Article  CAS  PubMed  Google Scholar 

  8. Tulic G, Dubljanin-Raspopovic E, Tomanovic-Vujadinovic S, Sopta J, Todorovic A, Manojlovic R (2018) Prolonged pre-operative hospital stay as a predictive factor for early outcomes and mortality after geriatric hip fracture surgery: a single institution open prospective cohort study. Int Orthop 42(1):25–31. https://doi.org/10.1007/s00264-017-3643-7

    Article  PubMed  Google Scholar 

  9. Endo A, Baer HJ, Nagao M, Weaver MJ (2018) Prediction model of in-hospital mortality after hip fracture surgery. J Orthop Trauma 32(1):34–38. https://doi.org/10.1097/BOT.0000000000001026

    Article  PubMed  Google Scholar 

  10. Wong SHJ, Fang XC, Yee KHD, Wong TM, Pun CTT, Lau TW, Leung KLF (2018) Hip fracture time-to-surgery and mortality revisited: mitigating comorbidity confounding by effect of holidays on surgical timing. Int Orthop. https://doi.org/10.1007/s00264-017-3737-2

  11. Neuman MD, Archan S, Karlawish JH, Schwartz JS, Fleisher LA (2009) The relationship between short-term mortality and quality of care for hip fracture: a meta-analysis of clinical pathways for hip fracture. J Am Geriatr Soc 57(11):2046–2054. https://doi.org/10.1111/j.1532-5415.2009.02492.x

    Article  PubMed  Google Scholar 

  12. Kristensen PK, Thillemann TM, Søballe K, Johnsen SP (2016) Can improved quality of care explain the success of orthogeriatric units? A population-based cohort study. Age Ageing 45(1):66–71. https://doi.org/10.1093/ageing/afv155

    Article  PubMed  Google Scholar 

  13. Nordström P, Gustafson Y, Michaëlsson K, Nordström A (2015) Length of hospital stay after hip fracture and short-term risk of death after discharge: a total cohort study in Sweden. BMJ 350:h696. https://doi.org/10.1136/bmj.h696

    Article  PubMed  PubMed Central  Google Scholar 

  14. Sobolev B, Guy P, Sheehan KJ, Bohm E, Beaupre L, Morin SN, Canadian Collaborative Study on Hip Fractures et al (2017) Hospital mortality after hip fracture surgery in relation to length of stay by care delivery factors: a database study. Medicine (Baltimore) 96(16):e6683. https://doi.org/10.1097/MD.0000000000006683

    Article  Google Scholar 

  15. Karres J, Kieviet N, Eerenberg JP, Vrouenraets BC (2018) Predicting early mortality after hip fracture surgery: the hip fracture estimator of mortality Amsterdam. J Orthop Trauma 32(1):27–33. https://doi.org/10.1097/BOT.0000000000001025

    Article  PubMed  Google Scholar 

  16. Lau TW, Fang C, Leung F (2016) Assessment of postoperative short-term and long-term mortality risk in Chinese geriatric patients for hip fracture using the Charlson comorbidity score. Hong Kong Med J 22(1):16–22. https://doi.org/10.12809/hkmj154451.

    Article  CAS  PubMed  Google Scholar 

  17. Man LP, WH Ho A, Wong SH (2016) Excess mortality for operated geriatric hip fracture in Hong Kong introduction. Hong Kong Med J 22:6–10. https://doi.org/10.12809/hkmj154568.

    Article  CAS  PubMed  Google Scholar 

  18. Dodd AC, Bulka C, Jahangir A, Mir HR, Obremskey WT, Sethi MK (2016) Predictors of 30-day mortality following hip/pelvis fractures. Orthop Traumatol Surg Res 102(6):707–710. https://doi.org/10.1016/j.otsr.2016.05.016

    Article  CAS  PubMed  Google Scholar 

  19. Kristensen PK, Thillemann TM, Johnsen SP (2014) Is bigger always better? A nationwide study of hip fracture unit volume, 30-daymortality, quality of in-hospital care, and length of hospital stay. Med Care 52(12):1023–1029. https://doi.org/10.1097/MLR.0000000000000234.

    Article  PubMed  Google Scholar 

  20. Praetorius K, Madsen CM, Abrahamsen B, Jørgensen HL, Lauritzen JB, Laulund AS (2016) Low levels of hemoglobin at admission are associated with increased 30-DayMortality in patients with hip fracture. Geriatr Orthop Surg Rehabil 7(3):115–120. https://doi.org/10.1177/2151458516647989

    Article  PubMed  PubMed Central  Google Scholar 

  21. Stone AV, Jinnah A, Wells BJ, Atkinson H, Miller AN, Futrell WM, Lenoir K, Emory CL (2018) Nutritional markers may identify patients with greater risk of re-admission after geriatric hip fractures. Int Orthop 42(2):231–238. https://doi.org/10.1007/s00264-017-3663-3

    Article  PubMed  Google Scholar 

  22. Chen Q, Kane RL (2001) Effects of using consumer and expert ratings of an activities of daily living scale on predicting functional outcomes of postacute care. J Clin Epidemiol 54(4):334–342

    Article  CAS  PubMed  Google Scholar 

  23. de Groot V, Beckerman H, Lankhorst GJ, Bouter LM (2003) How to measure comorbidity: a critical review of available methods. J Clin Epidemiol 56(3):221–229

    Article  PubMed  Google Scholar 

  24. Hartrick CT, Kovan JP, Shapiro S (2003) The numeric rating scale for clinical pain measurement: a ratio measure? Pain Pract 3(4):310–316

    Article  PubMed  Google Scholar 

  25. Costardi D, Rozzini L, Costanzi C, Ghianda D, Franzoni S, Padovani A et al (2007) The Italian version of the pain assessment in advanced dementia (PAINAD) scale. Arch Gerontol Geriatr 44(2):175–180

    Article  CAS  PubMed  Google Scholar 

  26. Smith KB, Steckel SD (1995) Reliability, validity and responsiveness of functional tests in patients with total joint replacement. Phys Ther 75:169–179

    Article  PubMed  Google Scholar 

  27. Ambrosi E, Detogni S, Guarnier G, Barelli P, Zambiasi Z, Allegrini E et al (2017) In-hospital elderly mortality and associated factors in 12 Italian acute medical units: findings from an exploratory longitudinal study. Aging Clin Exp Res 29(3):517–527. https://doi.org/10.1007/s40520-016-0576-8

    Article  PubMed  Google Scholar 

  28. de Brito TRP, Nunes DP, Corona LP, da Silva Alexandre T, de Oliveira Duarte YA (2017) Low supply of social support as risk factor for mortality in the older adults. Arch Gerontol Geriatr 73:77–81. https://doi.org/10.1016/j.archger.2017.07.016

    Article  PubMed  Google Scholar 

  29. Rocha SA, Avila MA, Bocchi SC (2016) The influence of informal caregivers on the rehabilitation of the elderly in the postoperative period of proximal femoral fracture. Rev Gaucha Enferm 37(1):e51069. https://doi.org/10.1590/1983-1447.2016.01.51069.

    Article  PubMed  Google Scholar 

  30. Dawe EJ, Lindisfarne E, Singh T, McFadyen I, Stott P (2013) Sernbo score predicts survival after intracapsular hip fracture in the elderly. Ann R Coll Surg Engl 95(1):29–33. https://doi.org/10.1308/003588413X13511609954653

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to thank all individuals who participated in this study and Dr. Elettra Pignotti, expert in Biostatistics, for her contribution by performing statistical analysis.

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Authors and Affiliations

Authors

Contributions

CF, PC: concept and design, acquisition of subjects and data, analysis and interpretation of data, preparation of manuscript. DG, EA: analysis and interpretation of data, preparation of manuscript. FD, AF, MM, TS: acquisition of subjects and data, analysis and interpretation of data, preparation of manuscript.

Corresponding author

Correspondence to Elisa Ambrosi.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Cite this article

Forni, C., Gazineo, D., D’Alessandro, F. et al. Predictive factors for thirty day mortality in geriatric patients with hip fractures: a prospective study. International Orthopaedics (SICOT) 43, 275–281 (2019). https://doi.org/10.1007/s00264-018-4057-x

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  • DOI: https://doi.org/10.1007/s00264-018-4057-x

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