Severity of All-Terrain Vehicle-Related Injuries by Age in Canada, 2002-2019.

Importance: Rates of pediatric hospitalizations following an injury while riding an all-terrain vehicle (ATV) are increasing. Few studies have compared the rates of severe injuries among children, adolescents, and adults. Objectives: To investigate whether younger ATV riders are at risk for more severe ATV-related injuries. Design, Setting, and Participants: This cross-sectional study was conducted using administrative data from hospitals in 9 provinces in Canada. Participants included patients admitted to hospitals with ATV-related injuries between 2002 and 2019. Statistical analysis was performed from June 2020 to September 2021. Exposures: The primary exposure was age younger than 16 years. Comparison groups were youths aged 16 to 20 years and adults aged 21 years and older. Main Outcomes and Measures: The main outcomes of interest were death, spinal cord injury, and an Injury Severity Score (ISS) greater than 25. Secondary outcomes were less severe injuries, including head injuries, crush type injuries, and fractures. Results: Among 52 745 patients with complete data, 15% were youths younger than 16 years, 13% were youths aged 16 to 20 years, 82% were male, and 47% lived in rural areas. After adjusting for covariates, the odds of dying were higher among youths aged 16 to 20 years (adjusted odds ratio [aOR], 1.64; 95% CI, 1.04-2.60) compared with those younger than 16 years. Youths aged 16 to 20 years also had higher odds of spinal cord injury (aOR, 2.72; 95% CI, 1.80-4.20) and an injury severity score greater than 25 (aOR, 1.63; 95% CI, 1.36-1.96) compared with youths 16 years of age or less. Sex-specific analyses revealed these associations were greater for male youths aged 16 to 20 years (spinal cord injury: aOR, 3.81; 95% CI, 1.38-11.10, and dying in a hospital: aOR, 4.37; 95% CI, 1.19-21.02) than female youths aged 16 to 20 years. Conclusions and Relevance: In this cross-sectional study of patients hospitalized for ATV injuries in Canada, youths aged 16 to 20 years and adults aged 21 years and older were at an increased risk of death and severe injuries compared with youths younger than 16 years. The increased risk of death and severe injuries was most evident among male patients.

Validity of an algorithm to identify cardiovascular deaths from administrative health records: a multi-database population-based cohort study.

BACKGROUND: Cardiovascular death is a common outcome in population-based studies about new healthcare interventions or treatments, such as new prescription medications. Vital statistics registration systems are often the preferred source of information about cause-specific mortality because they capture verified information about the deceased, but they may not always be accessible for linkage with other sources of population-based data. We assessed the validity of an algorithm applied to administrative health records for identifying cardiovascular deaths in population-based data. METHODS: Administrative health records were from an existing multi-database cohort study about sodium-glucose cotransporter-2 (SGLT2) inhibitors, a new class of antidiabetic medications. Data were from 2013 to 2018 for five Canadian provinces (Alberta, British Columbia, Manitoba, Ontario, Quebec) and the United Kingdom (UK) Clinical Practice Research Datalink (CPRD). The cardiovascular mortality algorithm was based on in-hospital cardiovascular deaths identified from diagnosis codes and select out-of-hospital deaths. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for the cardiovascular mortality algorithm using vital statistics registrations as the reference standard. Overall and stratified estimates and 95% confidence intervals (CIs) were computed; the latter were produced by site, location of death, sex, and age. RESULTS: The cohort included 20,607 individuals (58.3% male; 77.2% ≥70 years). When compared to vital statistics registrations, the cardiovascular mortality algorithm had overall sensitivity of 64.8% (95% CI 63.6, 66.0); site-specific estimates ranged from 54.8 to 87.3%. Overall specificity was 74.9% (95% CI 74.1, 75.6) and overall PPV was 54.5% (95% CI 53.7, 55.3), while site-specific PPV ranged from 33.9 to 72.8%. The cardiovascular mortality algorithm had sensitivity of 57.1% (95% CI 55.4, 58.8) for in-hospital deaths and 72.3% (95% CI 70.8, 73.9) for out-of-hospital deaths; specificity was 88.8% (95% CI 88.1, 89.5) for in-hospital deaths and 58.5% (95% CI 57.3, 59.7) for out-of-hospital deaths. CONCLUSIONS: A cardiovascular mortality algorithm applied to administrative health records had moderate validity when compared to vital statistics data. Substantial variation existed across study sites representing different geographic locations and two healthcare systems. These variations may reflect different diagnostic coding practices and healthcare utilization patterns.