| 3. |
- Feigin, Valery L., et al.
(författare)
-
Global, regional, and national burden of stroke and its risk factors, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019
- 2021
-
Ingår i: Lancet Neurology. - : Elsevier. - 1474-4422 .- 1474-4465. ; 20:10, s. 795-820
-
Tidskriftsartikel (refereegranskat)abstract
- Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% [10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% [5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million [6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million [2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million [1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million [67.7-90.8] DALYs or 55.5% [48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million [22.3-48.6] DALYs or 24.3% [15.7-33.2]), high fasting plasma glucose (28.9 million [19.8-41.5] DALYs or 20.2% [13.8-29.1]), ambient particulate matter pollution (28.7 million [23.4-33.4] DALYs or 20.1% [16.6-23.0]), and smoking (25.3 million [22.6-28.2] DALYs or 17.6% [16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.
|
|
| 4. |
- Beyer, Bruce K., et al.
(författare)
-
ILSI/HESI maternal toxicity workshop summary : maternal toxicity and its impact on study design and data interpretation
- 2011
-
Ingår i: Birth defects research. Part B. Developmental and reproductice toxicology. - : Wiley. - 1542-9733 .- 1542-9741. ; 92:1, s. 36-51
-
Tidskriftsartikel (refereegranskat)abstract
- Workshops on maternal toxicity were held at the annual Society of Toxicology, Teratology Society, and European Teratology Society meetings in 2009. Speakers presented background information prior to a general discussion on this topic. The following recommendations/options are based on the outcome of the discussions at the workshops: 1. A comprehensive evaluation of all available data from general toxicity studies, range-finding Developmental and Reproductive Toxicology (DART) studies, class effects, structure-activity relationships, exposure studies, etc. is essential for appropriate dose selection for definitive DART studies. The intent is to avoid marked maternal toxicity leading to mortality or decreased body weight gains of greater than 20% for prolonged periods. (a) Evaluate alternative endpoints for dose selection and data interpretation (e.g., target tissue effects and pharmacology) for biotherapeutics. (B) Evaluate additional maternal parameters based on effects and/or target organs observed in short-term (e.g., 2- or 4-week) general toxicity studies. 2. Evaluate all available data to determine a cause-effect relationship for developmental toxicity. (a) Conduct a pair-feeding/pair-watering study as a follow-up. (b) Evaluate individual data demonstrating maternal toxicity in the mother with adverse embryo-fetal outcomes in the litter associated with the affected mother. (c) Conduct single-dose studies at increasing doses as a complement to conventional embryo-fetal toxicity studies for certain classes of compounds that affect the hERG channel. 3. Support statements that embryo-fetal effects are caused by maternal toxicity and/or exaggerated pharmacology, especially for malformations. (a) Provide mechanistic or other supporting data. (b) Establish the relevance of the DART findings in animals for human exposures.
|
|
