983 resultados para H 100 P919p


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Development of new personal mobile and wireless devices for healthcare has become essential due to our aging population characterized by constant rise in chronic diseases that consequently require a complex treatment and close monitoring. Personal telehealth devices allow patients to adequately receive their appropriate treatment, followup with their doctors, and report any emergency without the need of the presence of any caregivers with them thus increasing their quality of life in a cost-effective fashion. This paper includes a brief overview of personal telehealth systems, a survey of 100 consecutive ED patients aged >65 years, and introduces "Limmex" a new GSM based technology packaged in a wristwatch. Limmex can by a push of a button initiate multiple emergency call and establish mobile communication between the patient and a preselected person, institution, or a search and rescue service. To the best of our knowledge, Limmex is the first of its kind worldwide.

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Farnesyltransferase Inhibitors (FTIs) are a class of drugs known to prevent the farnesylation and subsequent membrane attachment of a number of intracellular proteins. In various studies, the administration of FTIs has been found to play a role in the activation and development of T-cells in the immune system. FTIs have also been found to act as immunomodulators in delaying MHC-II mismatched skin allografts in mice. This study focuses on the effect of the FTI, ABT-100, on the differentiation and cytokine secretion of Th1 and Th2 helper T-cells in BALB/C mice to better understand which immune responses are targeted by FTIs. Splenocytes were isolated from BALB/C mice, skewed towards either a Th1 or a Th2 phenotype with the addition of cytokines, and treated with various concentrations of ABT-100. Splenocytes were also isolated and immediately cultured in the presence of ABT-100 to observe differentiation trends of helper T-cells. Cytokine production was measured using intracytoplasmic flow cytometry analysis. I found that ABT-100 treatment does not block Th1 or Th2 cell differentiation. Instead, ABT-100 treatment appears to affect cytokine production from effector T-cells. I found that ABT-100 causes a decrease in IFN-¿ production in mature Th1 cells yet does not affect IL-4 production in mature Th2 cells. This decrease in cytokine production as a result of ABT-100 treatments provides a potential mechanism for how ABT-100 works to delay MHC-II mismatched allograft rejection.

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The aim of the study was to assess sleep-wake habits and disorders and excessive daytime sleepiness (EDS) in an unselected outpatient epilepsy population. Sleep-wake habits and presence of sleep disorders were assessed by means of a clinical interview and a standard questionnaire in 100 consecutive patients with epilepsy and 90 controls. The questionnaire includes three validated instruments: the Epworth Sleepiness Scale (ESS) for EDS, SA-SDQ for sleep apnea (SA), and the Ullanlinna Narcolepsy Scale (UNS) for narcolepsy. Sleep complaints were reported by 30% of epilepsy patients compared to 10% of controls (p=0.001). The average total sleep time was similar in both groups. Insufficient sleep times were suspected in 24% of patients and 33% of controls. Sleep maintenance insomnia was more frequent in epilepsy patients (52% vs. 38%, p=0.06), whereas nightmares (6% vs. 16%, p=0.04) and bruxism (10% vs. 19%, p=0.07) were more frequent in controls. Sleep onset insomnia (34% vs. 28%), EDS (ESS >or=10, 19% vs. 14%), SA (9% vs. 3%), restless legs symptoms (RL-symptoms, 18% vs. 12%) and most parasomnias were similarly frequent in both groups. In a stepwise logistic regression model loud snoring and RL-symptoms were found to be the only independent predictors of EDS in epilepsy patients. In conclusion, sleep-wake habits and the frequency of most sleep disorders are similar in non-selected epilepsy patients as compared to controls. In epilepsy patients, EDS was predicted by a history of loud snoring and RL-symptoms but not by SA or epilepsy-related variables (including type of epilepsy, frequency of seizures, and number of antiepileptic drugs).