International Journal of Research in Orthopaedics

Desai MM et al. Int J Res Orthop. 2022 Jan;8(1):39-42

http://www.ijoro.org

Epidemiology of fractures in indoor patients at a tertiary care centre in India: a study of 3000 cases

Mohan M. Desai, Deven R. Kuruwa*, Easwar Elango, Roshan Wade


Department of Orthopaedics, Seth GS Medical College, Mumbai, Maharashtra, India

Received: 29 December 2020

Revised: 08 November 2021

Accepted: 30 November 2021

*Correspondence:

Dr. Deven R Kuruwa,

E-mail: generalkuruwa@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: Implementing appropriate fracture control measures and treatment protocols is crucial to maximizing health and development gains. This requires an in depth understanding of age-specific, sex-specific and cause-specific injury patterns at the national and subnational levels. No such study on fracture epidemiology has been undertaken in the Indian population.

Methods: Study was conducted in a tertiary care centre (KEM hospital, Mumbai) which is one of the highest volume trauma centres in the country. Data of 3000 patients was obtained from the medical records department for the year 2016-2019. Patients were segregated with respect to their genders and into three age groups. Etiology of fracture was noted, and fractures classified according to the anatomical area. Whether the patient received conservative or operative management was also recorded.

Results: 43.83% of the fractures occurred in 18-50 years age group. 41.33% in the above 50 group and only 14.73% in the below 18 age group. Overall male to female ratio was 1.4: 1. Vehicular accident was the most common mode of injury (47.07%) followed by fall from height (21.03%). Proximal femur fractures were the most common accounting for 19.57% of all fractures followed by forearm (10.53%), tibia diaphysis (8.10%). Talus was the least common. 81.07% cases were managed operatively and 18.93% conserved.

Conclusions: Our study highlights that Indian epidemiology is unique from our Western counterparts. Population affected is much younger, old age males are affected more than females. Lower limb fractures are more prevalent and road traffic accidents are responsible for almost half the fractures.

Keywords: Age distribution, Sex ratio, Most common, Road traffic accident, India

INTRODUCTION

Trauma is a major cause of morbidity and mortality across the globe. Apart from being a major economic burden it is also the leading cause of death and functional disability in young adults.1 As fractures are secondary to trauma, studying its epidemiology will help in evaluation and formulation of public health decisions and implementing appropriate fracture control measures. This requires an in depth understanding of age-specific, sex-specific and cause-specific injury patterns at the national and subnational levels.

Since our institute is one of the highest volume trauma centre in this country, providing state of the art healthcare for almost a century with cases being referred to us from all over the country, we believe our database would be a representation of the epidemiology of our nation. No such study on fracture epidemiology has been undertaken in the Indian population.

METHODS

This retrospective, observational study was conducted after approval from the Ethics and Research Committee, data on all patients with fractures from 2016 to 2019 was obtained from the medical records department of the tertiary care center. Patients managed on OPD basis and skull, face, rib fractures were excluded from the study.

Age and sex of the patients was noted and divided into three age groups – below 18 years, 18-50 and above 50 years.

Etiology was classified as vehicular accident, industrial accident, sports injury, fall from height, trivial trauma, no trauma or others (weapon injuries/ assault/ crush).

Fractures were classified according to Anatomical areas commonly recognized by Orthopedic Surgeons (example-proximal humerus/ humerus diaphysis/ distal humerus/ clavicle/ scapula etc). Whether the patients were managed with conservative or operative methods was also noted. The data was cross checked with ward admission logbooks and operating room registers for accuracy. The statistical analysis was done by using Statistical package for social sciences (SPSS) version 24.0; SPSS Inc. Chicago, Illinois, USA.

RESULTS

3000 fracture cases admitted in the tertiary hospital meeting the inclusion criteria were evaluated in our study, and the following observations were made from the data collected.

Out of the 3000 cases, 43.83% of the fractures occurred in patients in the 18-50 years age group. 41.33 % in the older age group 50 years and only 14.73% in the below 18 age group (Figure 1)

1772 (59.07%) were males and 1228 (40.93%) were females (Figure 2). The ratio between males and females was 1.4: 1. Male to female ratio was found to be the maximum in 18-50 age group.

Vehicular accidents emerged as the mode common (M.C) mode of injury (Figure 3) causing 1412 fractures making up 47.07% of all the cases, 2nd most common was fall from height (21.03%). Low velocity injuries like fall from standing height, twisting injuries, slipping etc were included under Trivial trauma and made up for 19.53% of the fractures. 3.77% were due to sports injuries, 2.47 % due to industrial accidents.

Fractures occurring without any history of trauma accounted for 2.07% of the total. 4.07% of the fractures were attributed to other injuries. Fractures were classified based on their anatomical location and arranged in decreasing order of frequency (Figure 4). Proximal femur fractures were the most common accounting for 19.57 percentage of all fractures followed by forearm (10.53%), tibia diaphysis (8.10%).

Table 1: Overall fracture distribution.
Table reproduced from source PDF page 2

Least common fractures seen were those of tarsal bones and talus – 3 and 4 cases respectively.

Spine fractures divided into cervical, lumbar, dorsal and sacrum accounted for 152 cases (5%). 2432 cases were operated (81.07%) and 568 (18.93%) were managed non operatively or conservatively (Table 1).

The ratio between the two being 4.3: 1.

DISCUSSION

Our study shows that vehicular accidents remains the major cause of fractures accounting for almost half the cases.

Figure 1: Age distribution. | 14.73 43.83 41.33 0 5 10 15 20 25 30 35 40 45 50 <18 18 to 50 >50 Percentageofpatients Age group (in years)
Figure 1: Age distribution.
Figure 2: Gender distribution. | 6.07 30.47 22.53 8.67 13.37 18.90 0 5 10 15 20 25 30 35 0 to 18 18 to 50 >50 Percentageofpatients Age group (in years) Males Females
Figure 2: Gender distribution.
Figure 3: Mode of trauma. | 21.03 2.47 3.77 19.53 47.07 4.07 2.07 0 5 10 15 20 25 30 35 40 45 50 Percentageofpatients
Figure 3: Mode of trauma.

The distribution of mode of trauma found in our study matches those of Indian studies but significantly differs from the Western data where vehicular accident was not the most common cause.2,3 It is reported that 16 Indian citizens get killed and 53 get injured every hour on Indian roads.4

Data from national health portal of Indian government shows that drunken driving to be responsible for 70% of road fatalities and according to the Global status report on road safety 2013, India tops the global list of deaths due to road accidents.

Figure 4: Management. | Conservative Operative 81.07 %
Figure 4: Management.

In our study, the peak incidence of fractures found in our study was between 18-50 years of age, which is younger than the average age reported in the western literature where the older population is more affected.5 Vehicular accident was found to be the most common mode of injury in this age group, highlighting the dire need to control this preventable mode of injury.

Comparison with other studies show a similar male dominance in the 18-50 age group.6 Though the incidence of females in our study increased dramatically in the above 50 age group, they were still outnumbered by males contrary to studies conducted in the western world.3 This may be suggestive that osteoporosis may not only be associated with elderly females in our country.

Our findings on fracture patterns and mode of trauma agree with those of the other observers, but there are some differences.7,8 Since our study only included indoor patients, fractures which are generally managed on an outpatient basis were found to have a lower prevalence in our study: clavicle, distal radius and ulna, carpals, metacarpals, finger phalanges, ankle, metatarsals and toe phalanges.9-15 Consequently, fractures of the major bones like humerus, radius and ulna, spine, pelvis, femur, patella, tibia which require hospitalization were found to have a higher prevalence in our study.16-22 The prevalence of scapula, tarsus and proximal humerus fractures paralleled the prevalence from Western studies.23-25

CONCLUSION

The distribution of fracture patterns in our study will help institutions in allocating resources in the emergency rooms like beds, splints, braces, surgical implants etc. The results of this study highlight the burden of road traffic accidents. Central and state governments have implemented measures against drunk driving, set speed limits, implemented fines, have worked for providing safer roads yet the expected results are not to be seen. 18-50 age group are the most common victims of accidents. Since this is the working population, apart from the government expenditure on the treatment, economic output is also affected.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the institutional ethics committee

REFERENCES

  1. 1. Holbrook TL, Anderson JP, Sieber WJ, Browner D, Hoyt DB. Outcome after major trauma: Discharge and 6-month follow-up results from the trauma recovery project. J Trauma. 1998;45:315-23.
  2. 2. Abhilash KP, Chakraborthy N, Pandian GR, Dhanawade VS, Bhanu TK, Priya K. Profile of trauma patients in the emergency department of a tertiary care hospital in South India. J Family Med Prim Care. 2016;5(3):558-63.
  3. 3. Court-Brown CM, Caesar B. Epidemiology of adult fractures: A review. Injury. 2006;37(8):691-7.
  4. 4. Pal R, Ghosh A, Kumar R, Galwankar S, Paul SK, Pal S et al. Public health crisis of road traffic accidents in India: Risk factor assessment and recommendations on prevention on the behalf of the Academy of Family Physicians of India. J Family Med Prim Care. 2019;8(3):775-83.
  5. 5. Curtis EM, van der Velde R, Moon RJ, van den Bergh JP, Geusens P, de Vries F et al. Epidemiology of fractures in the United Kingdom 1988-2012: Variation with age, sex, geography, ethnicity and socioeconomic status. Bone. 2016;87:19-26.
  6. 6. Singer BR, McLauchlan GJ, Robinson CM, Christie J. Epidemiology of fractures in 15,000 adults: the influence of age and gender. J Bone Joint Surg Br. 1998;80(2):243-8.
  7. 7. Pilcher LS. Stimson: I. A Treatise on Fractures and Dislocation. Platt: II. Fractures and Dislocations of the Upper Extremity. Roberts: III. Notes on the Modern Treatment of Fractures. Ann Surg. 1900;31(3):385-7.
  8. 8. Emmett JE, breck LW. A review and analysis of 11,000 fractures seen in a private practice of orthopaedic surgery, 1937-1956. J Bone Joint Surg Am. 1958;40-A(5):1169-75.
  9. 9. Kihlström C, Möller M, Lönn K, Wolf O. Clavicle fractures: epidemiology, classification and treatment of 2 422 fractures in the Swedish Fracture Register; an observational study. BMC Musculoskelet Disord. 2017;18(1):82.
  10. 10. Nellans KW, Kowalski E, Chung KC. The epidemiology of distal radius fractures. Hand Clin. 2012;28(2):113-25.
  11. 11. Holloway KL, Moloney DJ, Brennan-Olsen SL. Carpal and scaphoid fracture incidence in south-eastern Australia: an epidemiologic study. Archives of Osteoporosis. 2015 ;10:10.
  12. 12. Hey HW, Chong AK, Murphy D. Prevalence of carpal fracture in Singapore. J Hand Surg Am. 2011;36(2):278-83.
  13. 13. Giustini M, de Leo A, Leti Acciaro A, Pajardi G, Mamo C, Voller F et al. Incidence estimates of hand and upper extremity injuries in Italy. Ann Ist Super Sanita. 2015;51(4):305-12.
  14. 14. Elsoe R, Ostgaard SE, Larsen P. Population-based epidemiology of 9767 ankle fractures. Foot Ankle Surg. 2018;24(1):34-9.
  15. 15. Petrisor BA, Ekrol I, Court-Brown C. The epidemiology of metatarsal fractures. Foot & Ankle International. 2006;27(3):172-4.
  16. 16. Gonçalves FF, Dau L, Grassi CA, Palauro FR, Martins Neto AA, Pereira PCG. Evaluation of the surgical treatment of humeral shaft fractures and comparison between surgical fixation methods. Rev Bras Ortop. 2018;53(2):136-41.
  17. 17. Grabala P. Epidemiology of forearm fractures in the population of children and adolescents: current data from the typical Polish city. Orthop Muscular Syst. 2015;4:203.
  18. 18. Wang H, Liu X, Zhao Y, Ou L, Zhou Y, Li C et al. Incidence and pattern of traumatic spinal fractures and associated spinal cord injury resulting from motor vehicle collisions in China over 11 years: An observational study. Medicine (Baltimore). 2016;95(43):e5220.
  19. 19. Yang NP, Chan CL, Chu D, Lin YZ, Lin KB, Yu CS et al. Epidemiology of hospitalized traumatic pelvic fractures and their combined injuries in Taiwan: 2000-2011 National Health Insurance data surveillance. Biomed Res Int. 2014;2014:878601.
  20. 20. Hollis AC, Ebbs SR, Mandari FN. The epidemiology and treatment of femur fractures at a northern Tanzanian referral centre. Pan Afr Med J. 2015;22:338.
  21. 21. Larsen P, Court-Brown CM, Vedel JO, Vistrup S, Elsoe R. Incidence and Epidemiology of Patellar Fractures. Orthopedics. 2016;39(6):e1154-8.
  22. 22. Larsen P, Elsoe R, Hansen SH, Graven-Nielsen T, Laessoe U, Rasmussen S. Incidence and epidemiology of tibial shaft fractures. Injury. 2015;46(4):746-50.
  23. 23. Court-Brown CM, Zinna S, Ekrol I. Classification and epidemiology of mid-foot fractures. Foot. 2006;16(3):138-41.
  24. 24. Ideberg R, Grevsten S, Larsson S. Epidemiology of scapular fractures. Incidence and classification of 338 fractures. Acta Orthop Scand. 1995;66(5):395-7.
  25. 25. Passaretti D, Candela V, Sessa P, Gumina S. Epidemiology of proximal humeral fractures: a detailed survey of 711 patients in a metropolitan area. J Shoulder Elbow Surg. 2017;26(12):2117-24.