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Lancet. 2017 Aug 5;390(10094): doi: /S (17) Epub 2017 May 25.

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Presentation on theme: "Lancet. 2017 Aug 5;390(10094): doi: /S (17) Epub 2017 May 25."— Presentation transcript:

1 Lancet. 2017 Aug 5;390(10094):577-587. doi: 10.1016/S0140-6736(17)31045-0. Epub 2017 May 25.
Mei-Yun Hsieh 2017/10/24

2 Introduction Evidence from population-based cohort studies suggests that different types of adversity-related injury (self-inflicted, including poisonings, drug-related or alcohol- related, or violent injury) during adolescence are associated with similar underlying psychosocial problems, including adverse experiences (eg, maltreatment), poor mental health (eg, anxiety and depression), and poor social circumstances (eg, poverty). Among the 4% of adolescents (aged 10–19 years) who are admitted to hospital with one of these types of adversity-related injury in England, approximately three- quarters of girls and a third of boys are admitted with injuries related to multiple types of adversity. We aimed to inform preventive strategies for reducing risks of future harm for adolescents who are discharged from hospital after self-inflicted, drug-related or alcohol-related, or violent injury.

3 Methods Study design and patients
The HES(Hospital Episode Statistics) data contained all emergency (acute and unplanned) admissions to the National Health Service (NHS) in England, UK (April 1, , to March 31, 2012), including admissions to independent sector providers paid for by the NHS. We derived a cohort of adolescents (aged 10–19 years) who were admitted as an emergency for adversity-related or accident-related injury (the index injury). Adversity-related injury: comprising non-mutually exclusive groups of self-inflicted, drug-related or alcohol- related, or violent injury, irrespective of whether the injury was also accident related. Accident-related injury: no recorded adversity-related injury.

4 Methods Deaths within the cohort were evaluated in five causal groups:
suicide drug-related or alcohol-related homicide accidental other causes of deaths. We compared risks of death (total and by cause) up to 10 years following discharge from hospital for admission for adversity-related injury (exposure) with risks after accident-related injury (comparator).

5 Methods Outcomes The primary outcome was cause-specific death between the first day and 10 years after discharge from the index injury admission. We identified deaths using the Office for National Statistics mortality data linked to HES data (within NHS Digital). Suicide, drug-related or alcohol-related deaths, and homicide were not mutually exclusive. These three groups combined—ie, adversity-related deaths, accidental deaths (no codes for adversity-related death, but codes for accidental causes), and other deaths (no codes for adversity-related or accidental deaths)—were mutually exclusive.

6 Methods Statistical analysis
We estimated the cumulative risk of death by cause of death as model-based estimates of the cumulative incidence function, which accounted for other competing causes (eg, for suicide, competing causes included homicide and drug- related or alcohol-related, accidental, and other deaths). We included covariates in the analyses on the basis of previous findings of their relationship with adversity-related injury and death, age, socioeconomic status, and chronic conditions. We fitted Fine and Gray’s models to estimate the relative risks of total and cause- specific mortality following adversity-related index injury, adjusted for covariates and taking into account competing risks of other causal groups.

7 Results

8 Results

9 Results the most common causes were related to neurological conditions (473 [35·7%] deaths), or cancer or blood disorders (384 [29·0%] deaths

10 Results 10 year cumulative risks of total death after adversity-related index injury were 7·3 per 1000 girls (95% CI 6·8–7·8) and 15·6 per 1000 boys (14·8–16·5; appendix pp 6–9). Cumulative risks of total death were lower after accident-related index injury (girls 3·8 per 1000 [95% CI 3·4–4·2]; boys 6·0 per 1000 [5·7–6·3]) than after adversity-related index injury. Figure 2: Cumulative risk of cause-specific death overtime for (A) girls and (B) boys Cumulative risks are cumulative incidence functions as estimated from Fine and Gray’s competing risks models (per cause), in which the only covariate included was adversity- related (vs accident-related) injury. *Includes only deaths for which suicide or drug- related or alcohol-related death were not also implicated. †Includes only drug-related or alcohol- related deaths for which suicide was not also implicated. ‡Includes all suicides, whether homicide or drug-related or alcohol- related death were also implicated or not.

11 Results Low socioeconomic status

12 Results 10 year risks of suicide were similar after hospital discharge following self-inflicted index injury versus drug-related or alcohol-related index injury (2.9 per 1000 [95% CI 2·6–3·3] vs 2.5 [2.2–2.8] per 1000 for girls; 9.8 per 1000 [8.7–11.0] vs 7.2 per 1000 [6.5–8.0] for boys; )

13 Results

14 Conclusion We showed that risks of suicide were all increased for adolescents following self- inflicted injury, drug-related or alcohol-related injury, and violent injury, except for girls following violent injury who did not have a significantly increased risk. Our main finding of similar increases in risks of suicide following self-inflicted injury and following drug-related or alcohol-related injury has not been reported previously.

15 Discussion Strength The use of linked NHS emergency admissions and mortality data The population-based cohort of about one million adolescents aged 10–19 years. We used time-to-event statistical methods to estimate risks while taking into account censoring of outcomes and competing risks of different causes of death. Limitation ICD codes used to define adversity-related injury and deaths are likely to have high specificity but low sensitivity. The potential misclassification of exposure and outcomes. Potential linkage error between HES admissions data and the Office for National Statistics mortality data. Our study was probably underpowered to detect differences in the risks of homicide between index injury groups.


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