Pitfalls with the "chest compression-only" approach: the challenge of an unusual cause

Chest compression-only (CC-only) is now incorporated in the Norwegian protocol for dispatch guided CPR (cardiopulmonary resuscitation) in cardiac arrest of presumed cardiac aetiology

Prehospital Stressors: A Cross-sectional Study of Norwegian Helicopter Emergency Medical Physicians

Objective Personnel working in helicopter emergency medical services (HEMS) and search and rescue (SAR) are exposed to environmental stressors, which may impair performance. The aim of this survey was to study the extent HEMS and SAR physicians report the influence of specific danger-based and non–danger-based stressors. Methods The study was performed as a cross-sectional, anonymous, Web-based (Questback AS, Bogstadveien 54, 0366 Oslo, Norway) survey of Norwegian HEMS and SAR physicians between December 2, 2019, and February 25, 2020. Results Of the recipients, 119 (79.3%) responded. In helicopter operations, 33.6% (n = 40) reported involvement in a minor accident and 44.5% (n = 53) a near accident. In the rapid response car, 26.1% (n = 31) reported near accidents, whereas 26.9% (32) reported this in an ambulance. Of physicians, 20.2% (n = 24) received verbal abuse or threats during the last 12 months. When on call, 50.4% (n = 60) of physicians reported sometimes or often being influenced by fatigue. Conclusion This study shows that Norwegian HEMS and SAR physicians are exposed to several stressors of both a danger-based and non–danger-based nature, especially regarding accidents, threatening patient behavior, and fatigue. Very serious incidents appear to be seldom, and job satisfaction is high.publishedVersio

Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects

Prehospital Stressors: A Cross-sectional Study of Norwegian Helicopter Emergency Medical Physicians

Objective Personnel working in helicopter emergency medical services (HEMS) and search and rescue (SAR) are exposed to environmental stressors, which may impair performance. The aim of this survey was to study the extent HEMS and SAR physicians report the influence of specific danger-based and non–danger-based stressors. Methods The study was performed as a cross-sectional, anonymous, Web-based (Questback AS, Bogstadveien 54, 0366 Oslo, Norway) survey of Norwegian HEMS and SAR physicians between December 2, 2019, and February 25, 2020. Results Of the recipients, 119 (79.3%) responded. In helicopter operations, 33.6% (n = 40) reported involvement in a minor accident and 44.5% (n = 53) a near accident. In the rapid response car, 26.1% (n = 31) reported near accidents, whereas 26.9% (32) reported this in an ambulance. Of physicians, 20.2% (n = 24) received verbal abuse or threats during the last 12 months. When on call, 50.4% (n = 60) of physicians reported sometimes or often being influenced by fatigue. Conclusion This study shows that Norwegian HEMS and SAR physicians are exposed to several stressors of both a danger-based and non–danger-based nature, especially regarding accidents, threatening patient behavior, and fatigue. Very serious incidents appear to be seldom, and job satisfaction is high

Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects

Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.

Funder: Jacobs FoundationEstimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects