998 resultados para Church fo England


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Background: Screening for osteoporosis is important in older patients admitted to post-acute rehabilitation. However, DXA measurement is sometimes difficult to perform because of difficulties in positioning the patient and artefacts (osteoarthritis, prosthesis). The objectives were to determine the prevalence of unknown clinical osteoporosis in rehab patients and to determine new strategies for identifying clinical osteoporosis in this population. Method: Over a 9-months period, patients consecutively admitted to post-acute rehabilitation were included in th stdy. Patients with osteoporosis diagnosis, and those with terminal illness or severe physical limitations were excluded. Patients underwent Bone Mineral Density (BMD) by DXA and Vertebral Fracture Assessment (VFA). Clinical osteoporosis was defined as BMD ≤-2.5 SD at any site (lumbar spine, femoral neck, total hip or distal radius), ≥1 vertebral fracture, ≥1 hip fracture, or another fragility fracture and BMD ≤-2 SD. Results: Overall, 102 (17.0%) of the 600 patients admitted to rehab refused to participate in the study or were unable to consent. Among the 498 remaining patients, 99 (19.9%) were excluded because of already known diagnosis of osteoporosis, 101 (20.3%) were excluded because of terminal illness, severe physical limitations, and 45 (9.0%) because of inability to perform DXA during the stay (death, hospital transfer). Overall, 253 patients were assessed with DXA and VFA (166 women, mean age 83±7 years, mean BMI 27±6 kg/m2, and 87 men, mean age 82±6 yrs, mean BMI 27±5 kg/m2). Of these, 70% had history of fall during the last 6 months and 9.1% had hip fracture history. Prevalence of osteoporotic vertebral fracture was 36% in women and 32% in men. Overall, 152 (60.1%) patients had clinical osteoporosis (women: 67%; men: 46%) according to above criteria. Hip fracture history and vertebral fracture assessment identified correctly 105 (69.1%) of these 152 patients. Conclusion: A high prevalence of osteoporosis was observed in this population of rehab patients. Osteoporosis status should be systematically assessed in these patients at high fall risk, at least with careful history of hip fracture and an assessment for vertebral fractures with spine X-ray.

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Electricity spot prices have always been a demanding data set for time series analysis, mostly because of the non-storability of electricity. This feature, making electric power unlike the other commodities, causes outstanding price spikes. Moreover, the last several years in financial world seem to show that ’spiky’ behaviour of time series is no longer an exception, but rather a regular phenomenon. The purpose of this paper is to seek patterns and relations within electricity price outliers and verify how they affect the overall statistics of the data. For the study techniques like classical Box-Jenkins approach, series DFT smoothing and GARCH models are used. The results obtained for two geographically different price series show that patterns in outliers’ occurrence are not straightforward. Additionally, there seems to be no rule that would predict the appearance of a spike from volatility, while the reverse effect is quite prominent. It is concluded that spikes cannot be predicted based only on the price series; probably some geographical and meteorological variables need to be included in modeling.

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Soitinnus: Piano.

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Soitinnus: ork.

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Inv: Med Guds Hjelp.

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