The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Haagsma, Juanita A.; Graetz, Nicholas; Bolliger, Ian; Naghavi, Mohsen; Higashi, Hideki; Mullany, Erin C; Abera, Semaw Ferede; Abraham, Jerry; Koranteng, Adofo; Alsharif, Ubai; Ameh, Emmanuel A.; Ammar, Walid; Antonio, Carl Abelardo T; Barrero, Lope H.; Bekele, Tolesa; Bose, Dipan; Bražinová, Alexandra; Catalá-López, Ferrán; Dandona, Lalit; Dandona, Rakhi; Dargan, Paul I.; Leo, Diego De; Degenhardt, Louisa; Derrett, Sarah; Dharmaratne, Samath D; Driscoll, Tim; Duan, Leilei; Ermakov, Sergei Petrovich; Farzadfar, Farshad; Feigin, Valery L.; Franklin, Richard C.; Gabbe, Belinda; Gosselin, Richard A.; Hafezi-Nejad, Nima; Hamadeh, Randah Ribhi; Hı́jar, Martha; Hu, Guoqing; Jayaraman, Sudha; Jiang, Guohong; Khader, Yousef; Khan, Ejaz Ahmad; Krishnaswami, Sanjay; Kulkarni, Chanda; Lecky, Fiona; Leung, Ricky; Lunevičius, Raimundas; Lyons, Ronan A; Majdán, Marek; Mason‐Jones, Amanda J.; Matzopoulos, Richard; Meaney, Peter A.; Mekonnen, Wubegzier; Miller, Ted R.; Mock, Charles; Norman, Rosana; Orozco, Ricardo; Polinder, Suzanne; Pourmalek, Farshad; Rahimi-Movaghar, Vafa; Refaat, Amany; Rojas-Rueda, David; Roy, Nobhojit; Schwebel, David C.; Shaheen, Amira; Shahraz, Saeid; Skirbekk, Vegard; Søreide, Kjetil; Soshnikov, Sergey; Stein, Dan J.; Sykes, Bryan L.; Tabb, Karen M.; Temesgen, Awoke Misganaw; Tenkorang, Eric Y.; Theadom, Alice; Tran, Bach Xuan; Vasankari, Tommi; Vavilala, Monica S.; Vlassov, Vasiliy Victorovich; Woldeyohannes, Solomon Meseret; Yip, Paul; Yonemoto, Naohiro; Younis, Mustafa Z; Yu, Chuanhua; Murray, Christopher J L; Vos, Theo

doi:10.1136/injuryprev-2015-041616

Cited by 990 publications

(825 citation statements)

References 36 publications

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“…Similar observations were made in other studies. 2,5,[10][11][12] Even though mortality for a comparable injury severity is higher at the extremes of age, 13,14 there was no statistically significant relationship between age and timing of death in our study.…”

Section: Demographicscontrasting

confidence: 47%

Timing of death at National Trauma Center, Abuja, Nigeria

Gwaram¹,

Ameh²

2018

East. Cent. Afr. J. Surg.

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Background: We aimed to analyse the burden and timing of trauma deaths over a 1-year period at a trauma centre in Nigeria.Methods: This was a retrospective review of in-hospital trauma deaths during the period of January to December 2015. Sociodemographic data, cause of injury, mode of presentation, time interval between presentation and death, injury diagnoses, treatment, and place of death were analysed.Results: There were 2230 trauma consultations during the study period; 85 were brought in dead from the scene. We analysed data from 103 of 121 in-hospital deaths. Patient ages ranged from 0 to 90 years, with a mean age of 31.1. The male-to-female ratio was 5:1. Following injury, 46.6% of the victims presented directly to our tertiary centre, while 53.4% were referred from other hospitals. Most of the injuries were from RTA. Isolated head injury was the predominant diagnosis (44.7%), followed by polytrauma (29%). Immediate deaths (exclusive of those brought in already dead) comprised 5.8% of cases; 37.9% were early deaths and 56.3% were late deaths.Conclusions: The timing of trauma deaths closely approximated the original trimodal description in North America about half a century ago even though advances in trauma care have resulted in changes from this pattern in developed countries. Regionalised integrated care including prehospital trauma services are recommended.

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Section: Demographicscontrasting

confidence: 47%

Timing of death at National Trauma Center, Abuja, Nigeria

Gwaram¹,

Ameh²

2018

East. Cent. Afr. J. Surg.

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“…The last estimation, as part of the larger study for the WHO European Region estimating alcohol‐attributable mortality in more than 50 countries for 25 years, revealed 178 that alcohol‐attributable injury rates did not decrease in the time‐period in the same way as injuries in general 323.…”

Section: Resultsmentioning

confidence: 99%

The relationship between different dimensions of alcohol use and the burden of disease—an update

et al. 2017

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Background and aimsAlcohol use is a major contributor to injuries, mortality and the burden of disease. This review updates knowledge on risk relations between dimensions of alcohol use and health outcomes to be used in global and national Comparative Risk Assessments (CRAs).MethodsSystematic review of reviews and meta‐analyses on alcohol consumption and health outcomes attributable to alcohol use.For dimensions of exposure: volume of alcohol use, blood alcohol concentration and patterns of drinking, in particular heavy drinking occasions were studied. For liver cirrhosis, quality of alcohol was additionally considered. For all outcomes (mortality and/or morbidity): cause of death and disease/injury categories based on International Classification of Diseases (ICD) codes used in global CRAs; harm to others.ResultsIn total, 255 reviews and meta‐analyses were identified. Alcohol use was found to be linked causally to many disease and injury categories, with more than 40 ICD‐10 three‐digit categories being fully attributable to alcohol. Most partially attributable disease categories showed monotonic relationships with volume of alcohol use: the more alcohol consumed, the higher the risk of disease or death. Exceptions were ischaemic diseases and diabetes, with curvilinear relationships, and with beneficial effects of light to moderate drinking in people without heavy irregular drinking occasions. Biological pathways suggest an impact of heavy drinking occasions on additional diseases; however, the lack of medical epidemiological studies measuring this dimension of alcohol use precluded an in‐depth analysis. For injuries, except suicide, blood alcohol concentration was the most important dimension of alcohol use. Alcohol use caused marked harm to others, which has not yet been researched sufficiently.ConclusionsResearch since 2010 confirms the importance of alcohol use as a risk factor for disease and injuries; for some health outcomes, more than one dimension of use needs to be considered. Epidemiological studies should include measurement of heavy drinking occasions in line with biological knowledge.

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“…Die "global burden of injury" wurde vor kurzem aktualisiert [2]. Im Jahr 2013 erlitten demnach 973 Mio.…”

Section: Unfallchirurgie In Ländern Der Dritten Weltunclassified