Paper 6: Pattern And Severity Of Injuries In Victims Of Road Traffic Crashes Attending A Tertiary Care Hospital Of Delhi by Chetna Malhotra, MM Singh, Suneela Garg, Rahul Malhotra, BK Dhaon, Malti Mehra: Anil Aggrawal's Internet Journal of Forensic Medicine: Vol. 6, No. 2 (July - December 2005)
  home  > Vol.6, No. 2, July - December 2005  > Paper 6 by Chetna Malhotra et al (you are here)
Navigation ribbon

Received: June 29, 2005
Accepted: August 17, 2005
Ref: Malhotra C, Singh MM, Garg S, Malhotra R, Dhaon BK, Mehra M.  Pattern And Severity Of Injuries In Victims Of Road Traffic Crashes Attending A Tertiary Care Hospital Of Delhi Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology [serial online] 2005; Vol. 6, No. 2 (July - December 2005): ; Published August 16, 2005, (Accessed: 

Email Dr. Chetna Malhotra by clicking here

Dr. Chetna Malhotra MM Singh Suneela Garg Rahul Malhotra  
Chetna Malhotra

MM Singh

Suneela Garg

Rahul Malhotra

Pattern And Severity Of Injuries In Victims Of Road Traffic Crashes Attending A Tertiary Care Hospital Of Delhi

by Chetna Malhotra1, MM Singh1, Suneela Garg1, Rahul Malhotra1, BK Dhaon2, Malti Mehra1,

1Department of Community Medicine, Maulana Azad Medical College, New Delhi, India
2Department of Orthopaedics, Maulana Azad Medical College, New Delhi, India


Abstract

Background

The study was conducted to find out the socio-demographic profile, pattern and severity of injuries sustained in road traffic crashes.

Methods

It was a cross-sectional study conducted on 185 road traffic crash victims at the casualty of Lok Nayak Hospital from May 2003 to December 2003. The patients were interviewed regarding their socio-demographic profile and the severity of injuries was judged using the Injury Severity Scale.

Results

Majority of subjects were between 15 to 44 years (63.8%) and males (77.8%). Maximum number of cases were pedestrians (37.3%). Head and Neck injuries were most common (57.3%) followed by lower extremity (52.4%). Fracture, dislocation, sprain or strain was the most common pattern of injury among all the age groups, both sexes, all the three types of road users, in all modes of accident and in all types of vehicles. About 92% of the subjects had an injury severity score less than 25. Severity of injuries was greater among pedestrians and in accidents involving an over speeding vehicle.

Conclusion

Pedestrians were the most common category of road users injured. They were also the ones who were most severely injured. Therefore, urgent steps are required for pedestrian safety.

Keywords

Traffic Accidents, Injury Severity Score

Introduction

Road traffic crashes (RTCs) are a growing problem worldwide accounting for around 1.2 million deaths and over 50 million injuries annually1. It is expected that by the year 2020 they will rank third in the Global Burden of Diseases2. To emphasize on the growing importance of preventing RTCs, World Health Organization had declared "Safe Roads"1 as the theme for World Health Day 2004.

India has just 1% of the total vehicles in the world but it contributes to 6% of the global RTCs3. Estimates suggest that Delhi has the highest number of road crash fatalities in India4. Data regarding the socio-demographic and injury profile of victims of RTCs in Delhi may therefore, help policy makers to evolve programmes aimed at prevention of RTCs and provision of immediate care for victims of RTCs. Therefore, this study was conducted to study the socio-demographic profile of victims with road traffic injuries and pattern of injuries sustained.

Methods

This was a cross-sectional study conducted at the casualty of Lok Nayak (LN) Hospital, a 1700-bed tertiary care government hospital situated in central Delhi. For the purpose of the study, Road Traffic Crash was defined as "Any vehicle accident occurring on the road (i.e. originating on, terminating on, or involving a vehicle partially on the road) and resulting in injury or death to road users (i.e. driver, passenger and pedestrian)." The patients attending the casualty of Lok Nayak Hospital during May 2003 to December 2003, who were injured in a RTC as per this definition, were included in the study.

After initial enrollment, the study subjects were further classified into pedestrians, drivers and passengers using International Classification of Diseases (ICD-10) classification.5 A pre-tested semi-structured schedule was used to collect information regarding socio-demographic profile, after taking informed consent. The condition of road, visibility status and overspeeding were classified based on the perception of respondent. The information was collected, by the investigator (CM), from the injured person, if found conscious and oriented to time, place and person. However, if the patient was brought dead, was unconscious or disoriented, an attempt was made to collect the information from the patient's attendant. If there was no attendant or if consent was not given, the victim was excluded from the study. The patients were interviewed after they had received immediate first aid treatment. The specialist clinician on duty made the final diagnosis after relevant investigations and it was noted for final analysis.

The severity of injuries was judged using a trauma chart developed by Greenspan6, based on the Injury Severity Score (ISS) of Baker et al.7 This chart divides the body into seven regions: 1) external; 2) head (including the face); 3) neck; 4) thorax; 5) abdomen/pelvic contents; 6) spine and 7) extremities. In each region, each individual injury is given a severity score, using the Abbreviated Injury Scale (AIS) whose value ranges from 1 to 6. An individual's ISS is then determined by adding together the squares of the highest AIS score for each of the three most severely injured body areas. The value of ISS ranges from 1-75. ISS has also been used to calculate LD506 i.e. the injury severity which is a lethal dose for 50% of the patients so injured. Severity score of 40 is lethal for the age group 15-44 years, 29 for 45-64 years and 20 for over 65 years.

The collected data was entered in MS Excel. For the purpose of analysis of pattern of injuries, the injury classification as per ICD-10 was used. Data was analyzed using EpiInfo 2002 version. Chi-square and Fishers exact test were used to find any significant difference for qualitative data and Mann-Whitney test was used to find significant difference for quantitative data. p<0.05 was considered statistically significant. The ethical committee of Maulana Azad Medical College had approved the study protocol.

Results

A total of 204 patients with road traffic injuries were contacted during the study period out of which 19 (9.3%) were excluded since complete information could not be obtained for them. So, the final sample consisted of 185 subjects. The total number of accidents was 176. Majority of subjects were between 15 to 44 years (63.8%) (Table I), males (77.8%), Hindus (76.8%), illiterates (27.0%) and laborers (35.1%) (skilled or unskilled) (Table II). The age and sex profile for the excluded patients was similar to the study subjects. The study subjects comprised of 69 pedestrians (37.3%), 57 drivers (30.8%), and 59 passengers (31.9%).

Maximum number of injuries were sustained in head and neck region (55.7%) followed by lower (52.4%) and upper extremities (40.5%). (Table III). In pedestrians, lower extremity was most commonly involved followed by head and neck region whereas in drivers, upper extremity was most commonly involved followed by lower extremity. In passengers, maximum injuries were sustained at head and neck region followed by upper extremity. The proportion of injuries in thorax, abdomen and spinal cord was lesser as compared to injuries on head, neck, upper and lower extremities.

The pattern of injuries among the study subjects is shown in Table IV. The most common pattern of injury was Intracranial injury (18.9%) followed by fractures of lower leg, including ankle (17.8%) and fractures of forearm (10.8%). Fracture, dislocation, sprain or strain was the most common pattern of injury among all the age groups, both sexes, all the three types of road users, in all modes of accident and in all types of vehicles. (Table V) There was no significant relationship between the use of protective equipment and the occurrence of intracranial injury.

On assessment of severity of injuries using Injury Severity Score, it was found that 67.6% of the injuries had a severity score less than 10. Only one subject had a maximum score of 75. Maximum number of pedestrians had a severity score between 6-10 (36.2%) whereas maximum number of drivers (42.1%) and passengers (42.4%) had a severity score between 1-5. (Table VI) The study shows that 1.7% of the subjects aged 15-44 years had a score greater than 40 which is lethal for this age group. This included 1 driver and 1 passenger. One injured driver aged 51 years had ISS> 29, which is considered lethal for that age. 25% of the subjects aged >65 years, including 1 pedestrian and 1 passenger, had a score >20 which is lethal for that age.

Table VII shows that accidents occurring on weekends and at night had a higher injury severity score. Also, at a cut off level of ISS 9, the subjects injured in accidents involving two wheelers and four wheelers, those occurring on ill maintained roads and those occurring when visibility was poor, had a higher severity of injuries. ISS showed no significant relationship with day and time of injury, type of vehicle, condition of road, visibility status and use of protective equipment. A higher injury severity score (>9) was associated with pedestrians, accidents that occurred outside Delhi, and those involving an overspeeding vehicle. None of the subjects using a protective equipment had ISS>20.

Using Mann-Whitney test, the mean injury severity scores of victims whose accidents involved an overspeeding vehicle (13.1+12.6) was significantly higher than those victims that did not involve an overspeeding vehicle (9.2+6.7). (p=0.002)

Discussion

In the present study, maximum number of RTC victims were between 15 to 44 years of age (63.8%) with a lesser number among those less than 15 years (10.8%) and above 60 years (6.5%). Similar age distribution of RTC victims has been reported in other studies from developing countries.8-13 Considering the maximum involvement of individuals in the economically productive years, RTCs may have an important economic impact. It also implies that interventions should be designed so as to target these individuals. Lower proportion of RTCs below 15 years and above 60 years could be explained by the fact that children are usually taken care of by elders during travel and lesser mobility of geriatric people.

Majority of those injured in the present study were males (77.8%) with a male: female ratio of 3.4:1. This is in conformity with other studies in India 8,11-16 and abroad17. Preponderance of males implies that men are at higher risk of RTC injuries than women. This may be attributed to their greater exposure to traffic and more risky behaviour than females such as hanging on the side of bus, running to catch a bus, aggressive driving, impatience, lack of attention and drinking alcohol prior to driving.18-23

This study shows that maximum number of injured persons were illiterates (27%). This could be due to their lack of awareness about traffic rules and safety measures. Several other studies have shown that people with lower levels of education are more involved in road traffic accidents.15, 24   Therefore, educational programs on road traffic safety should give special attention to those who have little or no education. However, a case control study in Mexico showed that there is no significant difference between the educational level of drivers involved in accidents, as compared to those who were not.25

In this study, maximum number of injured were working (65.4%) which was similar to a study in Ghana (64.0%)26 but lower than a Mexican study (84%).25 This difference could be due to the use of different criteria for classifying working status. This indicates that those who go for work are more exposed to the risk of accident.

In the present study, the regions most commonly affected were head and neck (55.7%) and lower extremity (52.4%). Head and neck region was injured in 49% cases in Saudi Arabia9, 34.1% in Pondicherry8, 31% in Delhi12 and 25.3% cases in Nigeria27. Lower extremity was injured in 64% cases in Ghana28, 50% in Delhi12 and 13.7% in Pondicherry8.

On analyzing the body region injured by type of road user, it was observed that in pedestrians, lower extremity (63.8%) and head and neck region (59.4%) were most commonly involved. This is comparable to findings of previous studies from USA, Sweden and India where lower limb and head injuries were reported to be most common injury sites for pedestrians8,29,30,31 . The extremities, both upper (61.4%) and lower (56.1%) were most commonly involved regions among drivers in the present study. A similar pattern of higher involvement of the extremities has been reported by Wick et al17 and Sharma et al14 among drivers.

The most common pattern of injury was observed to be fractures, dislocations, sprains and strains (39.2%), similar to the findings of other Indian studies viz. 34.7% in Agra32 and 30% in Delhi12.

The pattern of injury also showed differences according to the different type of road users. In this study, the most common pattern of injury among pedestrians was fractures, dislocations, sprains and strains (36.3%). The data is comparable to that reported from USA where more pedestrians suffered from fractures (37%) than any other single injury type33. Again, 45.6% of the drivers had superficial injuries, 31.6% had open wounds and 61.4% had fractures. In comparison to this, in USA, nearly a third of the bicyclists suffered lacerations and/or contusions, and 29% had fractures33.

The differences in the pattern of injuries in various studies could be due to selective nature of different studies. Some studies have focused on deaths due to road traffic accidents.13,14,31 and few only on children involved in RTCs.27,32

In this study, 67.6% of the subjects had ISS less than 10 and 92.4% less than 25. This is comparable to a study from Nigeria, where in 94.4% cases, ISS was less than 25.27 On the other hand, in Sweden31, only 12% of the victims had ISS less than 25. In the current study, drivers using protective equipment had a lower ISS than those who were not (7.93 vs. 11.59). This is comparable to figures from Bangalore, where helmeted patients had lower injury severity scores than non-helmeted (7.02 vs. 11.9)34. But, the ISS did not show any significant relationship with use of protective equipment at score of 9 (p=0.87). None of the subjects who were using a protective equipment had an ISS >20.

The severity of injuries was more among persons injured in RTC outside Delhi. This may be because outside Delhi, especially on highways, vehicles ply with greater speed and the severity of injuries was found to be significantly more when an accident was associated with an overspeeding vehicle (p=0.004). The severity of injuries was also greater among pedestrians than among other road users (p=0.04). This shows that pedestrians are most vulnerable to severe injuries

The findings of the study highlight the need for taking urgent steps for safety of people especially pedestrians. It emphasizes on the need of providing proper care to the injured by having specialists trained to deal with the multitude of injuries sustained during RTCs.

List of Abbreviations

AIS- Abbreviated Injury Scale

ICD-10 - International Classification of Diseases-10

ISS - Injury Severity Score

RTC - Road Traffic Crashes

Tables

Please click here to download tables in *.doc format.

References

(1) World Health Organization. World report on road traffic injury prevention. World Health Organization, Geneva, 2004  (Back to [citation 1] [citation 2] in text)
(2) Murary CJL, Lopez AD (Editors). Global Burden of Disease : A comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020. Harvard School of Public Health, 1996. (Back to [citation] in text)

(3) Jacob R, Prabhakaran K, Jacob JS. Victims of road traffic accidents-assessment and management at field. J Indian Med Assoc 1999; 97(5):171-175. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(4) Singh V. Road accidents in Delhi-2002. Annual report, Delhi Traffic Police. Delhi: Delhi Traffic Police, 2003  (Back to [citation] in text)

(5) World Health Organization. International Statistical Classification of diseases and related health problems 10th revision. Geneva, 1992. (Back to [citation] in text)

(6) Greenspan L, McLellan BA, Greig H. Abbreviated injury severity scale and injury severity score: A scoring chart. J Trauma 1985; 25(1):60-64. [Pubmed - www.pubmed.gov] (Back to [citation 1] [citation 2] in text)

(7) Baker SP, O'Neill B. The injury severity score: an update. J Trauma1976;16(11):882-885. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(8) Jha N, Srinivasa DK, Roy G, Jagdish S. Injury pattern among road traffic accident cases: A study from South India. Indian Journal of Community Medicine 2003; 28(2):85-90. [IndMed - http://medind.nic.in/] [IndMed - http://medind.nic.in/] (Back to [citation 1] [citation 2]  [citation 3] [citation 4] [citation 5] in text)

(9) Ansari S, Akhdar F, Mandoorah M, Moutaery K. Causes and effects of road traffic accidents in Saudi Arabia. Public Health 2000; 114(1):37-39. [Pubmed - www.pubmed.gov] (Back to [citation 1] [citation 2] in text)

(10) Romao F, Nizamo H, Mapasse D, Rafico MM, Jose J, Mataruca S, Efron ML, Omondi LO, Leifert T, Bicho JM. Road traffic injuries in Mozambique. Inj Control Saf Promot 2003; 10(1-2):63-67. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(11) Majumdar B, Karmakar R, Bose T, Dasgupta S, Basu R. Some host factors and seasonal variations in the fatal road traffic accidents occurring in eastern suburban Calcutta. Indian J Public Health 1996; 40(2):46-49. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(12) Maheshwari J, Mohan D. Road traffic injuries in Delhi: A hospital based study. J Traffic Medicine 1989; 17(3-4):23-27. (Back to [citationin text)

(13) Banerjee KK, Agarwal BB, Kohli A, Aggarwal NK. Study of head injury victims in fatal road traffic accidents in Delhi. Indian J Med Sci 1998; 52(9):395-398. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(14) Sharma BR, Harish D, Sharma V, Vij K. Road-traffic accidents- a demographic and topographic analysis. Med Sci Law 2001; 41(3):266-274. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(15) Mehta SP. An epidemiological study of road traffic accident cases admitted in Safdarjung Hospital, New Delhi. Indian J Med Res 1968; 56(4):456-466. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(16) Ghosh PK. Epidemiological study of the victims of vehicular accidents in Delhi. J Indian Med Assoc 1992; 90(12):309-312. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(17) Wick M, Muller EJ, Ekkernkamp A, Muhr G. The motorcyclist: easy rider or easy victim? An analysis of motorcycle accidents in Germany. Am J Emerg Med 1998; 16(3):320-323. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(18) Mirza S, Mirza M, Chotani H, Luby S. Risky behavior of bus commuters and bus drivers in Karachi, Pakistan. Accid Anal Prev 1999; 31(4):329-333. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(19) Ballesteros MF, Dischinger PC. Characteristics of traffic crashes in Maryland (1996-1998): differences among the youngest drivers. Accid Anal Prev 2002; 34(3):279-284. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(20) Valent F, Schiava F, Savonitto C, Gallo T, Brusaferro S, Barbone F. Risk factors for fatal road traffic accidents in Udine, Italy. Accid Anal Prev 2002; 34(1):71-84. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(21) Al-Balbissi AH. Role of gender in road accidents. Traffic Inj Prev 2003; 4(1):64-73. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(22) Peek-Asa C, Kraus JF. Injuries sustained by motorcycle riders in the approaching turn crash configuration. Accid Anal Prev1996;28(5):561-9. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(23) Peek-Asa C, Kraus JF. Alcohol use, driver, and crash characteristics among injured motorcycle drivers. J Trauma 1996; 41(6):989-993. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(24) Jha N, Srinivasa DK, Roy G, Jagdish S. Epidemiological study of road traffic accident cases: A study from South India. Ind J Comm Med 2004; 29(1):20-24. [IndMed - http://medind.nic.in/] (Back to [citation] in text)

(25) Hijar M, Carrillo C, Flores M, Anaya R, Lopez V. Risk factors in highway traffic accidents: a case control study. Accid Anal Prev 2000; 32(5):703-709. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(26) Mock CN, Forjuoh SN, Rivara FP. Epidemiology of transport-related injuries in Ghana. Accid Anal Prev 1999; 31(4):359-370. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(27) Adesunkanmi AR, Oginni LM, Oyelami OA, Badru OS. Road traffic accidents to african children: assessment using the injury severity score (ISS). Injury 2000; 31(4):225-228. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(28) Mock CN, Adzotor E, Denno D, Conklin E, Rivara F. Admissions for injury at a rural hospital in Ghana: implications for prevention in the developing world. Am J Public Health 1995; 85(7):927-931. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(29) Stutts JC, Hunter WW. Motor vehicle and roadway factors in pedestrian and bicyclist injuries: an examination based on emergency department data. Accid Anal Prev 1999; 31(5):505-514. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(30) Ostrom M, Eriksson A. Pedestrian fatalities and alcohol. Accid Anal Prev 2001; 33(2):173-180. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(31) Henriksson E, Ostrom M, Eriksson A. Preventability of vehicle-related fatalities. Accid Anal Prev 2001; 33(4):467-475. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(32) Tandon JN, Kalra A, Kalra K, Sahu SC, Nigam CB, Qureshi GU. Profile of accidents in children. Indian Pediatr 1993; 30(6):765-769. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(33) Stutts JC, Williamson JE, Whitley T, Sheldon FC.Bicycle accidents and injuries: a pilot study comparing hospital- and police-reported data. Accid Anal Prev. 1990 Feb;22(1):67-78. [Pubmed - www.pubmed.gov] (Back to [citationin text)

(34) Channabasavanna SM, Gururaj G, Das BS, Kaliaperumal VG. Epidemiology of head injuries. Summary report National Institute of Mental health and Neuro Sciences, Bangalore, PR/3/1993a.  (Back to [citationin text)


*Corresponding author and requests for clarifications and further details:
Dr Chetna Malhotra,
98, Sidhartha Enclave,
New Delhi-110014.
Telephone no.- 011-26347670, 9810440661
E-mail: drchetnamalhotra@yahoo.com
You've been on Dr. Chetna Malhotra and colleagues' paper for seconds.

 N.B. It is essential to read this journal - and especially this paper as it contains several tables and high resolution graphics - under a screen resolution of 1600 x 1200 dpi or more, and preferably on a 17" or bigger monitor. If the resolution is less than this, you may see broken or overlapping tables/graphics, graphics overlying text or other anomalies. It is strongly advised to switch over to this resolution to read this journal - and especially this paper. These pages are viewed best in Netscape Navigator 4.7 and above.

-Anil Aggrawal


 Click here to contact us.

 This page has been constructed and maintained by Dr. Anil Aggrawal, Professor of Forensic Medicine, at the Maulana Azad Medical College, New Delhi-110002. You may want to give me the feedback to make this pages better. Please be kind enough to write your comments in the guestbook maintained above. These comments would help me make these pages better.

IMPORTANT NOTE: ALL PAPERS APPEARING IN THIS ONLINE JOURNAL ARE COPYRIGHTED BY "ANIL AGGRAWAL'S INTERNET JOURNAL OF FORENSIC MEDICINE AND TOXICOLOGY" AND MAY NOT BE REPOSTED, REPRINTED OR OTHERWISE USED IN ANY MANNER WITHOUT THE WRITTEN PERMISSION OF THE WEBMASTER

  home  > Vol.6, No. 2, July - December 2005  > Paper 6 by Chetna Malhotra et al (you are here)
Navigation ribbon