BackgroundTransient ischemic attack (TIA) is a risk factor of stroke. Modern treatment regimens and changing risk factors in the population justify new estimates of stroke risk after TIA, and evaluation of the recommended ABCD2 stroke risk score.MethodsFrom October, 2012, to July, 2014, we performed a prospective, multicenter study in Central Norway, enrolling patients with a TIA within the previous 2 weeks. Our aim was to assess stroke risk at 1 week, 3 months and 1 year after TIA, and to determine the predictive value of the dichotomized ABCD2 score (0–3 vs 4–7) at each time point. We used data obtained by telephone follow-up and registry data from the Norwegian Stroke Register.ResultsFive hundred and seventy-seven patients with TIA were enrolled of which 85% were examined by a stroke specialist within 24 h after symptom onset. The cumulative incidence of stroke within 1 week, 3 months and 1 year of TIA was 0.9% (95% CI, 0.37–2.0), 3.3% (95% CI, 2.1–5.1) and 5.4% (95% CI, 3.9–7.6), respectively. The accuracy of the ABCD2 score provided by c-statistics at 7 days, 3 months and 1 year was 0.62 (95% CI, 0.39–0.85), 0.62 (95% CI, 0.51–0.74) and 0.64 (95% CI, 0.54–0.75), respectively.ConclusionsWe found a lower stroke risk after TIA than reported in earlier studies. The ABCD2 score did not reliably discriminate between low and high risk patients, suggesting that it may be less useful in populations with a low risk of stroke after TIA.Trial registrationUnique identifier: NCT02038725 (retrospectively registered, January 16, 2014).

In this paper, a joint distribution of all relevant environmental parameters used in design of offshore structures including directional components is presented, along with a novel procedure for dependency modelling between wind and wind sea. Probabilistic directional models are rarely used for response calculation and reliability assessments of stationary offshore structures. However, very few locations have the same environment from all compass directions in combination with a rotationally symmetric structure. The scope of this work is to present a general environmental joint distribution with directional descriptions for long term design of stationary offshore structures such as offshore wind turbines. Wind, wind sea and swell parameters will be investigated for a chosen location in the central North Sea.

The design process for offshore wind turbines includes a fatigue life evaluation of the structure with the relevant environmental conditions at the specified wind farm location. Such analyses require long-term distributions of the environmental parameters including their correlation. In general, the significant wave height, wave peak period and mean wind speed are the most important parameters for describing offshore environmental conditions. However, due to the low side-to-side damping level of offshore bottom-fixed wind turbines, wave directions misaligned with the wind direction may excite low-damped vibrational modes. As a consequence, the accumulated fatigue damage in the wind turbine foundation may change, compared to collinear wind and waves. In the current work, an extension to the three-parameter environmental joint probability distribution is presented, with the resulting distribution being a function of the significant wave height, peak period of the total sea, mean wind speed and the wave directional offset compared to the mean wind heading i.e. the wind-wave misalignment. The sea states within a 1-year return period for Dogger Bank are presented, as well as the 10- and 50-year environmental contour lines and extreme wind-wave misalignment angles.

Background and Purpose: Obesity is one of the most prevalent modifiable risk factors of ischemic stroke. However, it is still unclear whether obesity itself or the metabolic abnormalities due to obesity increase the risk of ischemic stroke. We therefore investigated the association between metabolic health, weight, and risk of ischemic stroke in a large prospective cohort study. Methods: In the Norwegian HUNT study (Trøndelag Health Study), we included 35 105 participants with complete information on metabolic risk factors and relevant covariates. Metabolically unhealthy state was defined as sex specific increased waist circumference in addition to 2 or more of the following criteria: hypertension, increased blood pressure, decreased high-density lipoprotein, triglycerides or glucose, or self-reported diagnosis of diabetes. We then applied Cox proportional hazard models to estimate the risk for ischemic stroke among overweight and obese metabolically healthy and unhealthy participants compared with metabolically healthy, normal weight participants. Results: A total of 1161 ischemic stroke cases occurred after an average observation time of 11.9 years. In general, metabolically unhealthy participants were at increased risk of ischemic stroke (for obese participants: hazard ratio, 1.30 [95% CI, 1.09–1.56] compared with metabolically healthy participants with a normal body mass index). Hypertension appeared to be the most important metabolic risk factor. Metabolically healthy participants with overweight or obesity were at similar risk of ischemic stroke compared with normal weight participants (hazard ratio, 1.02 [95% CI, 0.81–1.28] for participants with obesity). Obesity and overweight even over an extended period of time seems to be benign about ischemic stroke, as long as it was not associated with metabolic abnormalities. Conclusions: Obesity was not an independent ischemic stroke risk factor in this cohort, and the risk depended more on the metabolic consequences of obesity.