Mortality after Sustaining Skeletal Fractures in Relation to Age
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection in the Swedish Fracture Register
2.2. Patient Data
2.3. Statistical Analyses
2.4. Ethical Statement
3. Results
3.1. Baseline Data and Mortality Rate for All Fracture Types Per Age Groups
3.2. Mortality Rate and SMR for Different Fracture Locations in Patients 16 to 49 Years Old
3.3. Mortality Rate and SMR for Different Fracture Locations in Patients 50 to 64 Years Old
3.4. Mortality Rates and SMR for Different Fracture Locations in Patients 65 to 79 Years Old
3.5. Mortality Rate and SMR for Different Fracture Locations in Patients 80 Years Old or Above
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Bliuc, D.; Alarkawi, D.; Nguyen, T.V.; Eisman, J.A.; Center, J.R. Risk of subsequent fractures and mortality in elderly women and men with fragility fractures with and without osteoporotic bone density: The Dubbo Osteoporosis Epidemiology Study. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res. 2015, 30, 637–646. [Google Scholar] [CrossRef] [PubMed]
- Bliuc, D.; Nguyen, N.D.; Milch, V.E.; Nguyen, T.V.; Eisman, J.A.; Center, J.R. Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women. JAMA 2009, 301, 513–521. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Johnell, O.; Kanis, J.A.; Oden, A.; Sernbo, I.; Redlund-Johnell, I.; Petterson, C.; De Laet, C.; Jonsson, B. Mortality after osteoporotic fractures. Osteoporos. Int. J. Establ. Result Coop. Between Eur. Found. Osteoporos. Natl. Osteoporos. Found. USA 2004, 15, 38–42. [Google Scholar] [CrossRef] [PubMed]
- Court-Brown, C.M.; Garg, A.; McQueen, M.M. The epidemiology of proximal humeral fractures. Acta Orthop. Scand. 2001, 72, 365–371. [Google Scholar] [CrossRef] [Green Version]
- Downey, C.; Kelly, M.; Quinlan, J.F. Changing trends in the mortality rate at 1-year post hip fracture—A systematic review. World J. Orthop. 2019, 10, 166–175. [Google Scholar] [CrossRef]
- Panula, J.; Pihlajamäki, H.; Mattila, V.M.; Jaatinen, P.; Vahlberg, T.; Aarnio, P.; Kivelä, S.-L. Mortality and cause of death in hip fracture patients aged 65 or older—A population-based study. BMC Musculoskelet. Disord. 2011, 12, 105. [Google Scholar] [CrossRef] [Green Version]
- Schnell, S.; Friedman, S.M.; Mendelson, D.; Bingham, K.W.; Kates, S.L. The 1-Year Mortality of Patients Treated in a Hip Fracture Program for Elders. Geriatr. Orthop. Surg. Rehabil. 2010, 1, 6–14. [Google Scholar] [CrossRef] [Green Version]
- Lundin, N.; Huttunen, T.T.; Enocson, A.; Marcano, A.I.; Fellander-Tsai, L.; Berg, H.E. Epidemiology and mortality of pelvic and femur fractures-a nationwide register study of 417,840 fractures in Sweden across 16 years: Diverging trends for potentially lethal fractures. Acta Orthop. 2021, 92, 323–328. [Google Scholar] [CrossRef]
- Reito, A.; Kuoppala, M.; Pajulammi, H.; Hokkinen, L.; Kyrola, K.; Paloneva, J. Mortality and comorbidity after non-operatively managed, low-energy pelvic fracture in patients over age 70: A comparison with an age-matched femoral neck fracture cohort and general population. BMC Geriatr. 2019, 19, 315. [Google Scholar] [CrossRef]
- Somersalo, A.; Paloneva, J.; Kautiainen, H.; Lönnroos, E.; Heinänen, M.; Kiviranta, I. Increased mortality after upper extremity fracture requiring inpatient care. Acta Orthop. 2015, 86, 533–557. [Google Scholar] [CrossRef] [Green Version]
- Somersalo, A.; Paloneva, J.; Kautiainen, H.; Lönnroos, E.; Heinänen, M.; Kiviranta, I. Increased mortality after lower extremity fractures in patients <65 years of age. Acta Orthop. 2016, 87, 622–625. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Swedish Fracture Register. Swedish Fracture Register Annual Report 2017 (Årsrapport 2017). 2018. Available online: https://sfr.registercentrum.se/om-registret/taeckningsgradsanalys/p/HjedFyVyE (accessed on 1 February 2020).
- Wennergren, D.; Ekholm, C.; Sandelin, A.; Möller, M. The Swedish fracture register: 103,000 fractures registered. BMC Musculoskelet. Disord. 2015, 16, 338. [Google Scholar] [CrossRef] [PubMed]
- Müller, M.E.; Nazarian, S.; Koch, P.; Schatzker, J. The Comprehensive Classification of Fractures of Long Bones/AO Classification of Fractures; Springer Science & Business Media: Berlin/Heidelberg, Germany, 1990. [Google Scholar]
- Wennergren, D.; Möller, M. Implementation of the Swedish Fracture Register. Der Unfallchirurg 2018, 121, 949–955. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Knutsson, S.B.; Wennergren, D.; Bojan, A.; Ekelund, J.; Moller, M. Femoral fracture classification in the Swedish Fracture Register—A validity study. BMC Musculoskelet. Disord. 2019, 20, 197. [Google Scholar] [CrossRef] [PubMed]
- Wennergren, D.; Ekholm, C.; Sundfeldt, M.; Karlsson, J.; Bhandari, M.; Möller, M. High reliability in classification of tibia fractures in the Swedish Fracture Register. Injury 2016, 47, 478–482. [Google Scholar] [CrossRef]
- Wennergren, D.; Stjernström, S.; Möller, M.; Sundfeldt, M.; Ekholm, C. Validity of humerus fracture classification in the Swedish fracture register. BMC Musculoskelet. Disord. 2017, 18, 251. [Google Scholar] [CrossRef]
- Statistics Sweden. Available online: http://www.scb.se (accessed on 1 April 2020).
- Bergh, C.; Möller, M.; Ekelund, J.; Brisby, H. 30-day and 1-year mortality after skeletal fractures: A register study of 295,713 fractures at different locations. Acta Orthop. 2021, 92, 739–745. [Google Scholar] [CrossRef]
- Vandenbroucke, J.P. A shortcut method for calculating the 95 percent confidence interval of the standardized mortality ratio. Am. J. Epidemiol. 1982, 115, 303–304. [Google Scholar] [CrossRef]
- Wolf, O.; Mukka, S.; Ekelund, J.; Möller, M.; Hailer, N.P. How deadly is a fracture distal to the hip in the elderly? An observational cohort study of 11,799 femoral fractures in the Swedish Fracture Register. Acta Orthop. 2021, 92, 40–46. [Google Scholar] [CrossRef]
- Bergdahl, C.; Wennergren, D.; Ekelund, J.; Moller, M. Mortality after a proximal humeral fracture. Bone Jt. J. 2020, 102, 1484–1490. [Google Scholar] [CrossRef]
- Shortt, N.L.; Robinson, C.M. Mortality After Low-Energy Fractures in Patients Aged at Least 45 Years Old. J. Orthop. Trauma 2005, 19, 396–403. [Google Scholar] [CrossRef] [PubMed]
- Wilson, L.A.; Gooding, B.W.; Manning, P.A.; Wallace, W.A.; Geoghegan, J.M. Risk factors and predictors of mortality for proximal humeral fractures. Shoulder Elb. 2014, 6, 95–99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ravindrarajah, R.; Hazra, N.C.; Charlton, J.; Jackson, S.H.D.; Dregan, A.; Gulliford, M. Incidence and mortality of fractures by frailty level over 80 years of age: Cohort study using UK electronic health records. BMJ Open 2018, 8, e018836. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Fracture Location | Age Years | Number of Fractures | Women % | High Energy % | Dead within 30 Days % | Dead Expected 30 Days % | SMR 30 Days (95% CI) | Dead within 1 Year % | Dead Expected 1 Year % | SMR 1 Year (95% CI) |
---|---|---|---|---|---|---|---|---|---|---|
All fractures | 16–49 | 89,075 | 36.0 | 16.6 | 0.04 | 0.006 | 7.2 (5.2–9.6) | 0.3 | 0.1 | 4.0 (3.5–4.5) |
50–64 | 61,825 | 62.8 | 9.2 | 0.2 | 0.004 | 4.8 (4.0–5.8) | 1.4 | 0.4 | 3.2 (3.0–3.4) | |
65–79 | 74,297 | 69.6 | 4.3 | 1.2 | 0.2 | 7.6 (7.2–8.2) | 6.1 | 1.9 | 3.2 (3.1–3.3) | |
≥80 | 70,516 | 74.4 | 1.0 | 6.8 | 1.0 | 6.8 (6.6–7.0) | 24.5 | 12.4 | 2.0 (2.0–2.0) |
Age Years | Aceta-Bulum | Femur Prox. | Femur Diaph. | Femur Distal | Patella | Tibia Prox. | Tibia Diaph. | Tibia Distal | Ankle | Talus | Calca-Neus | Mid-Foot | Meta-Tarsale | Toe Phalanx | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16–49 | Number of fractures | 251 | 810 | 474 | 291 | 871 | 2644 | 1596 | 1092 | 11,912 | 683 | 1022 | 1363 | 6381 | 5099 |
Women % | 23 | 31 | 24 | 35 | 36 | 40 | 30 | 36 | 46 | 36 | 28 | 36 | 44 | 46 | |
High energy % | 79 | 27 | 70 | 34 | 17 | 28 | 32 | 32 | 9 | 42 | 40 | 24 | 7 | 8 | |
Dead at 30 days % | 0.0 | 0.5 | 0.8 | 0.7 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | |
Dead at 1-year % | 1.2 | 2.1 | 1.7 | 2.1 | 0.0 | 0.6 | 0.3 | 0.5 | 0.2 | 0.0 | 0.5 | 0.4 | 0.3 | 0.1 | |
SMR 30 days | 0.0 | 56.4 | 146.9 | 107.1 | 0.0 | 6.6 | 19.6 | 0.0 | 5.3 | 0.0 | 0.0 | 12.5 | 5.3 | 3.3 | |
SMR 1 year | 13.1 | 19.7 | 24.1 | 26.4 | 0.0 | 7.0 | 4.0 | 6.0 | 3.0 | 0.0 | 6.0 | 6.2 | 3.9 | 0.8 | |
50–64 | Number of fractures | 277 | 3009 | 302 | 359 | 813 | 1829 | 746 | 529 | 9574 | 187 | 511 | 525 | 3303 | 2308 |
Women % | 28 | 52 | 50 | 60 | 66 | 63 | 43 | 48 | 63 | 46 | 40 | 52 | 66 | 62 | |
High energy % | 45 | 7 | 23 | 11 | 5 | 17 | 21 | 24 | 4 | 33 | 31 | 19 | 5 | 6 | |
Dead at 30 days % | 0.4 | 1.2 | 2.0 | 1.1 | 0.2 | 0.0 | 0.1 | 0.0 | 0.1 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | |
Dead at 1-year % | 2.5 | 7.4 | 8.3 | 5.0 | 1.7 | 0.8 | 2.1 | 1.5 | 0.8 | 0.5 | 1.2 | 1.0 | 0.8 | 0.3 | |
SMR 30 days | 8.2 | 27.1 | 48.2 | 27.9 | 6.5 | 0.0 | 3.6 | 0.0 | 1.8 | 0.0 | 5.5 | 5.6 | 0.0 | 0.0 | |
SMR 1 year | 4.7 | 13.8 | 16.5 | 10.3 | 3.7 | 2.0 | 4.7 | 3.3 | 1.9 | 1.3 | 2.7 | 2.3 | 2.0 | 0.9 | |
65–79 | Number of fractures | 477 | 14,779 | 726 | 720 | 1306 | 1566 | 582 | 444 | 8381 | 73 | 308 | 278 | 2023 | 1144 |
Women % | 30 | 62 | 64 | 74 | 74 | 74 | 53 | 59 | 68 | 56 | 46 | 52 | 73 | 60 | |
High energy % | 19 | 1 | 4 | 5 | 2 | 9 | 13 | 14 | 3 | 27 | 29 | 14 | 3 | 4 | |
Dead at 30 days % | 1.7 | 3.6 | 4.7 | 2.1 | 0.2 | 0.6 | 1.2 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.1 | |
Dead at 1-year % | 8.4 | 14.8 | 16.1 | 11.7 | 2.6 | 4.0 | 5.7 | 4.7 | 2.7 | 2.7 | 1.3 | 1.8 | 2.6 | 2.1 | |
SMR 30 days | 8.9 | 19.3 | 26.2 | 12.9 | 1.0 | 4.5 | 8.2 | 3.2 | 1.7 | 0.0 | 0.0 | 0.0 | 1.8 | 0.6 | |
SMR 1 year | 3.6 | 6.5 | 7.4 | 5.9 | 1.4 | 2.3 | 3.2 | 2.8 | 1.6 | 1.8 | 0.7 | 1.1 | 1.6 | 1.2 | |
80+ | Number of fractures | 713 | 32,757 | 1284 | 1106 | 710 | 789 | 309 | 218 | 3108 | 17 | 78 | 46 | 768 | 294 |
Women % | 53 | 70 | 79 | 88 | 71 | 80 | 78 | 81 | 76 | 77 | 68 | 70 | 84 | 58 | |
High energy % | 2 | <1 | <1 | <1 | <1 | 4 | 6 | 4 | 2 | 29 | 18 | 2 | 2 | 2 | |
Dead at 30 days % | 9.1 | 10.0 | 10.0 | 8.9 | 1.4 | 4.3 | 8.4 | 3.6 | 1.7 | 5.9 | 3.8 | 2.2 | 0.3 | 2.0 | |
Dead at 1-year % | 30.4 | 31.2 | 28.1 | 29.8 | 8.9 | 20.0 | 33.0 | 28.0 | 13.1 | 5.9 | 12.8 | 8.7 | 9.8 | 11.6 | |
SMR 30 days | 8.1 | 9.2 | 9.1 | 8.1 | 1.6 | 4.4 | 8.2 | 3.3 | 2.0 | 8.2 | 4.5 | 3.0 | 0.3 | 2.6 | |
SMR 1 year | 2.2 | 2.4 | 2.1 | 2.2 | 0.8 | 1.7 | 2.6 | 2.1 | 1.2 | 0.7 | 1.2 | 1.0 | 0.9 | 1.2 |
Age Years | Spine | Pelvis | ||
---|---|---|---|---|
16–49 | Number of fractures | 1892 | 996 | |
Women % | 34 | 61 | ||
High energy % | 55 | 48 | ||
Dead at 30 days % | 0.1 | 0.5 | ||
Dead at 1-year % | 0.8 | 0.9 | ||
SMR 30 days | 8.2 | 89.8 | ||
SMR 1 year | 10.1 | 13.3 | ||
50–64 | Number of fractures | 1306 | 840 | |
Women % | 42 | 61 | ||
High energy % | 34 | 30 | ||
Dead at 30 days % | 0.5 | 0.2 | ||
Dead at 1-year % | 3.1 | 2.9 | ||
SMR 30 days | 12.0 | 6.4 | ||
SMR 1 year | 6.7 | 6.3 | ||
65–79 | Number of fractures | 2221 | 2176 | |
Women % | 48 | 72 | ||
High energy % | 15 | 8 | ||
Dead at 30 days % | 1.8 | 1.7 | ||
Dead at 1-year % | 8.1 | 10.2 | ||
SMR 30 days | 10.0 | 9.7 | ||
SMR 1 year | 3.7 | 4.7 | ||
80+ | Number of fractures | 2239 | 4781 | |
Women % | 62 | 82 | ||
High energy % | 4 | 1 | ||
Dead at 30 days % | 6.0 | 6.1 | ||
Dead at 1-year % | 24.0 | 25.4 | ||
SMR 30 days | 6.2 | 5.7 | ||
SMR 1 year | 2.0 | 1.9 |
Age Years | Scapula | Clavicle | Humerus Prox. | Humerus Diaph. | Humerus Distal | Forearm Prox. | Forearm | Radius Distal | Carpus | Meta-Carpale | Finger Phalanx | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16–49 | Number of fractures | 942 | 5339 | 2644 | 762 | 479 | 5158 | 1087 | 11,327 | 2969 | 11,347 | 10,022 |
Women % | 16 | 19 | 43 | 32 | 54 | 44 | 26 | 50 | 18 | 16 | 32 | |
High energy % | 39 | 29 | 16 | 27 | 21 | 11 | 30 | 14 | 14 | 9 | 13 | |
Dead at 30 days % | 0.1 | 0.1 | 0.1 | 0.3 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | |
Dead at 1-year % | 0.2 | 0.3 | 0.7 | 1.0 | 0.8 | 0.1 | 0.6 | 0.2 | 0.2 | 0.2 | 0.1 | |
SMR 30 days | 13.4 | 8.7 | 14.7 | 42.0 | 0.0 | 0.0 | 16.3 | 1.4 | 0.0 | 3.1 | 0.0 | |
SMR 1 year | 2.2 | 4.0 | 7.7 | 13.8 | 13.0 | 1.0 | 9.4 | 2.6 | 0.4 | 3.1 | 1.8 | |
50–64 | Number of fractures | 875 | 2283 | 5379 | 604 | 440 | 3327 | 442 | 14,685 | 1030 | 2482 | 3860 |
Women % | 36 | 35 | 73 | 58 | 63 | 71 | 46 | 80 | 50 | 48 | 44 | |
High energy % | 22 | 23 | 5 | 10 | 10 | 6 | 26 | 4 | 7 | 10 | 13 | |
Dead at 30 days % | 0.2 | 0.1 | 0.3 | 1.7 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
Dead at 1-year % | 1.1 | 1.2 | 2.1 | 6.6 | 2.5 | 0.6 | 2.0 | 0.6 | 0.2 | 0.4 | 0.4 | |
SMR 30 days | 6.0 | 3.6 | 9.0 | 43.0 | 5.9 | 1.8 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | |
SMR 1 year | 2.4 | 2.8 | 4.6 | 14.1 | 5.4 | 1.6 | 4.5 | 1.4 | 0.5 | 1.0 | 0.8 | |
65–79 | Number of fractures | 779 | 1553 | 9179 | 1123 | 755 | 2212 | 406 | 16,073 | 589 | 1987 | 2437 |
Women % | 48 | 50 | 79 | 67 | 73 | 75 | 60 | 84 | 58 | 63 | 48 | |
High energy % | 14 | 13 | 2 | 3 | 5 | 4 | 13 | 2 | 5 | 5 | 12 | |
Dead at 30 days % | 0.4 | 1.0 | 0.7 | 2.4 | 1.2 | 0.4 | 0.5 | 0.2 | 0.2 | 0.2 | 0.2 | |
Dead at 1-year % | 3.3 | 7.0 | 4.5 | 11.9 | 6.4 | 3.0 | 4.4 | 1.8 | 1.9 | 2.7 | 2.3 | |
SMR 30 days | 2.4 | 6.6 | 4.8 | 15.2 | 7.5 | 3.0 | 3.2 | 1.4 | 1.1 | 1.0 | 1.1 | |
SMR 1 year | 1.7 | 3.6 | 2.5 | 6.2 | 3.3 | 1.8 | 2.4 | 1.0 | 1.0 | 1.5 | 1.2 | |
80+ | Number of fractures | 361 | 1144 | 6370 | 778 | 705 | 1004 | 269 | 8525 | 190 | 1005 | 948 |
Women % | 66 | 66 | 82 | 73 | 77 | 77 | 78 | 86 | 58 | 67 | 62 | |
High energy % | 6 | 3 | <1 | 1 | 1 | 1 | 5 | <1 | <1 | 2 | 3 | |
Dead at 30 days % | 3.6 | 3.5 | 4.8 | 8.4 | 6.7 | 3.4 | 2.6 | 1.8 | 0.5 | 0.9 | 1.1 | |
Dead at 1-year % | 24.4 | 22.3 | 19.0 | 28.5 | 23.7 | 18.2 | 16.0 | 12.1 | 9.5 | 14.5 | 12.3 | |
SMR 30 days | 3.8 | 3.4 | 5.3 | 8.8 | 7.0 | 3.6 | 2.7 | 2.1 | 0.7 | 1.0 | 1.2 | |
SMR 1 year | 2.1 | 1.8 | 1.7 | 2.4 | 2.0 | 1.6 | 1.4 | 1.1 | 1.0 | 1.3 | 1.1 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bergh, C.; Möller, M.; Ekelund, J.; Brisby, H. Mortality after Sustaining Skeletal Fractures in Relation to Age. J. Clin. Med. 2022, 11, 2313. https://doi.org/10.3390/jcm11092313
Bergh C, Möller M, Ekelund J, Brisby H. Mortality after Sustaining Skeletal Fractures in Relation to Age. Journal of Clinical Medicine. 2022; 11(9):2313. https://doi.org/10.3390/jcm11092313
Chicago/Turabian StyleBergh, Camilla, Michael Möller, Jan Ekelund, and Helena Brisby. 2022. "Mortality after Sustaining Skeletal Fractures in Relation to Age" Journal of Clinical Medicine 11, no. 9: 2313. https://doi.org/10.3390/jcm11092313
APA StyleBergh, C., Möller, M., Ekelund, J., & Brisby, H. (2022). Mortality after Sustaining Skeletal Fractures in Relation to Age. Journal of Clinical Medicine, 11(9), 2313. https://doi.org/10.3390/jcm11092313