Reference programme: Diagnosis and treatment of headache disorders and facial pain. Danish Headache Society, 2nd Edition, 2012

Headache and facial pain are among the most common, disabling and costly disorders in Europe. Correct diagnosis and treatment is important for achieving a high quality of care. As a national organisation whose role is to educate and advocate for the needs of patients with primary headaches, the Danish Headache Society has set up a task force to develop a set of guidelines for the diagnosis, organisation and treatment of the most common types of headaches and for trigeminal neuralgia in Denmark. The guideline was published in Danish in 2010 and has been a great success. The Danish Headache Society decided to translate and publish our guideline in English to stimulate the discussion on optimal organisation and treatment of headache disorders and to encourage other national headache authorities to produce their own guidelines. The recommendations regarding the most common primary headaches and trigeminal neuralgia are largely in accordance with the European guidelines produced by the European Federation of Neurological Societies. The guideline provides a practical tool for use in daily clinical practice for primary care physicians, neurologists with a common interest in headache, as well as other health-care professionals treating headache patients. The guideline first describes how to examine and diagnose the headache patient and how headache treatment is organised in Denmark. This description is followed by individual sections on the characteristics, diagnosis, differential diagnosis and treatment of each of the major headache disorders and trigeminal neuralgia. The guideline includes many tables to facilitate a quick overview. Finally, the particular problems regarding headache in children and headache in relation to female hormones and pregnancy are described

Genetic Drivers of Heterogeneity in Type 2 Diabetes Pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P \u3c 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P &lt; 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.</p

Acute Ischemic Stroke and Long-Term Outcome After Thrombolysis:Nationwide Propensity Score-Matched Follow-Up Study

Background and Purpose— Data on long-term outcome after intravenous tissue-type plasminogen activator (tPA) in ischemic stroke are limited. We examined the risk of long-term mortality, recurrent ischemic stroke, and major bleeding, including intracranial and gastrointestinal bleeding, in intravenous tPA-treated patients when compared with intravenous tPA eligible but nontreated patients with ischemic stroke. Methods— We conducted a register-based nationwide propensity score–matched follow-up study among patients with ischemic stroke in Denmark (2004–2011). Cox regression analysis was used to compute adjusted hazard ratios for all outcomes. Results— Among 4292 ischemic strokes (2146 intravenous tPA-treated and 2146 propensity score–matched nonintravenous tPA-treated patients), with a follow-up for a median of 1.4 years, treatment with intravenous tPA was associated with a lower risk of long-term mortality (adjusted hazard ratio, 0.66; 95% confidence interval, 0.49–0.88). The long-term risk of recurrent ischemic stroke (adjusted hazard ratio, 1.05; 95% confidence interval, 0.68–1.64) and major bleeding (adjusted hazard ratio, 0.59; 95% confidence interval, 0.24–1.47) did not differ significantly between the intravenous tPA-treated and nontreated patients. Conclusions— Treatment with intravenous tPA in patients with ischemic stroke was associated with improved long-term survival. </jats:sec

Thrombolysis in acute ischemic stroke is associated with lower long-term hospital bed day use:A nationwide propensity score-matched follow-up study

Background Thrombolysis with intravenous recombinant tissue-type plasminogen activator improves functional outcome in acute ischemic stroke. Few studies have investigated the effects of thrombolysis in a real-world setting. We evaluated the impact of thrombolysis on long-term hospital bed day use and the risk of readmission due to stroke-related complications. Methods We conducted a register-based nationwide propensity score-matched follow-up study among ischemic stroke patients in Denmark (2004–2011). Thrombolysed patients were propensity-score matched with non-thrombolysed acute ischemic stroke patients admitted to stroke centers not yet offering thrombolysis in 2004–2006. The outcomes were length of the stroke admission, total all-cause hospital bed day use during the first year after the stroke, and the long-term risk of readmissions. Thrombolysed and non-thrombolysed patients were compared using multivariable log-linear regression and Cox regression. Results We identified 1095 thrombolysed and 1095 propensity score matched eligible but non-thrombolysed acute ischemic stroke patients. The median length of the stroke admission was 9 days in the thrombolysed group and 13 days in the non-thrombolysed group (adjusted geometric mean ratio, 0.88; 95% CI: 0.78–1.00). The median all-cause hospital bed day use within the first year was 12 days in the thrombolysed group and 19 days in the non-thrombolysed group (adjusted geometric mean ratio, 0.82; 95% CI: 0.73–0.92). There was no significant difference in the overall risk of readmission (adjusted hazard ratio, 0.91; 95% CI: 0.79–1.04); however, thrombolysis was associated with reduced risk of pneumonia (adjusted hazard ratio, 0.59; 95% CI: 0.35–0.97). Conclusions Thrombolysis in ischemic stroke was associated with lower long-term hospital bed day use and decreased risk of readmission due to pneumonia. </jats:sec

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P &lt; 5 × 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with &gt;50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care