Inspiratory and expiratory muscle strength were inversely associated with frailty and pre-frailty. Cut-off points ≥-50cmH2O and ≤60cmH2O for maximum inspiratory and expiratory pressures, respectively, were established as optimal discriminators of frailty. The cut-off point ≤65cmH2O for maximum expiratory pressure was established as a discriminant for the presence of pre-frailty. Conclusions Inspiratory and expiratory muscle strength were lower in frail than in pre-frail older adults, and lower in pre-frail than in non-frail peers. Frailty and pre-frailty were inversely associated with inspiratory and expiratory muscle strength. Cut-off points for inspiratory and expiratory muscle strength may be useful in clinical practice for discriminating frailty and pre-frailty in older adults.Objectives The aim of this study was to examine changes in the prevalence of loneliness over time from 2011 to 2017 in long-term care facilities; and its related factors. Material and methods Repeated cross-sectional studies exploring loneliness and its associated factors among residents in long-term care facilities were conducted in Helsinki, Finland in 2011 (N = 4966) and 2017 (N = 3767). Residents in temporary respite care or with severe cognitive impairment, and those unable or refusing to respond to the loneliness item were excluded. The total number of participants in this analysis was 1563 in 2011, and 1367 in 2017. In both samples, we used the same loneliness measurement by asking “Do you suffer from loneliness?” (never/sometimes/often or always). When comparing the samples in order to reduce the effect of confounding between them, we used propensity score matching. A multivariable logistic regression model explored the relationship between various characteristics and loneliness. Results Loneliness showed no change in prevalence over time propensity score-adjusted loneliness was 36 % in 2011 and 2017. In the multivariate logistic regression model, feeling depressed was the only independent characteristic associated with loneliness. Of the respondents who did not feel depressed, 24 % suffered from loneliness at least sometimes. Among the respondents who felt depressed, the respective figure was 55 %. Conclusion Loneliness is common in institutional settings. It remained stable, and not decreased over time. Because loneliness impairs the well-being, quality of life and health of residents, it needs to be addressed. Screening loneliness and developing interventions to alleviate it, is essential.Background and objective In the last decade, several technological solutions have been proposed as artificial pancreas systems able to treat type 1 diabetes; most often they are built based on a control algorithm that needs to be validated before it is used with real patients. Control algorithms are usually tested with simulation tools that integrate mathematical models related mainly to the glucose-insulin dynamics, but other variables can be considered as well. In general, the simulators have a limited set of subjects. The main goal of this paper is to propose a new computational method to increase the number of virtual subjects, with physiological characteristics, included in the original mathematical models. Methods A subject is defined by a set of parameters given by a mathematical model. From the available reduced number of subjects in the model, the covariance of each parameter of every subject is obtained to establish a mathematical relationship. Then, new sets of parameters are calculated using lineaology has enabled the generation of a large cohort of 256 subjects, with different characteristics that are plausible in the T1DM population, significantly increasing the number of available subjects in existing mathematical models. The proposed methodology does not limit the number of subjects that can be generated and thus, it can be used to increase the number of cohorts provided by other mathematical models in diabetes, or even other scientific problems.The aim of this study was to test the hypothesis that toltrazuril administered at 4 weeks post-turnout reduces the infection intensity of Theileria orientalis Ikeda type in dairy calves and so prevents serious clinical disease in these animals at 2-3 months of age. Two groups of 40 dairy calves on two separate dairy farms in the Waikato were followed for 16 weeks post-turnout onto pasture. On each farm, 20 calves were randomly selected and orally treated with toltrazuril (15 mg/kg) at 4 weeks post-turnout, whilst the remaining 20 calves were left untreated. All 40 calves were blood sampled and weighed at 2, 4, 6, 8, 12, and 16 weeks post-turnout i.e. 6 samplings per calf. A random subset of 10 calves from each treatment group on each farm were faecal sampled at each visit. The blood samples were used to estimate the T. orientalis Ikeda type infection intensity and haematocrit for each calf and the faecal samples were used to estimate the number of coccidia oocysts per gram of faeces. Three linear mixed effects models, to evaluate the effect of toltrazuril treatment on infection intensity, haematocrit (HCT) and weight respectively were fitted to the data. No calves on either farm developed clinical theileriosis or coccidiosis and the three mixed effects linear models, controlling for the effect of farm and days from turnout, showed that there was no effect of treatment on infection intensity (p = 0.81), on HCT (p = 0.99) and on weight gain (p = 0.79). In conclusion, this study showed no evidence supporting the use of toltrazuril to control T. orientalis Ikeda type infection levels and prevent disease.Objective The aim of this study was to clarify the pattern and efficacy of antiepileptic drugs (AEDs) in acute encephalitis and discuss how long AEDs should be used after the acute phase. Methods Patients with acute encephalitis who presented with seizure were enrolled. see more The clinical features were systematically gathered, and the information about AEDs and seizures was obtained by a clinical follow-up and (or) a telephone interview based on a structured form. Results A total of 327 patients were enrolled, and the mean follow-up period was 63.8 (14-123) months. The risk of seizure relapse was estimated as 43.6% five years after the acute phase and the first three months was the peak time for relapse. Univariate analysis showed that status epilepticus, more than one seizure, cerebral spinal fluid protein level, abnormal MRI finding, temporal lobe involvement, and epileptiform discharge were related to seizure relapse. But only more than one seizure (OR = 2.80 (95% CI 1.29-6.09), p = 0.009) and temporal lobe involvement (5.