15 research outputs found

    Determinants of patients' needs in asthma treatment:a cross-sectional study

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    Patients’ needs in asthma remain insufficiently understood and met. We therefore aimed to investigate the potential determinants of patients’ needs in asthma treatment. Our study was based on survey data on 189 adults with asthma. Needs were measured using the 13-item Needs in Asthma Treatment questionnaire, which yields a total score and subscale-specific scores (‘exacerbations’, ‘patient expertise’, ‘handling drugs’ and ‘drug effects’). We considered age, sex, education, years since diagnosis and anxiety/depression (measured by the Patient Health Questionnaire-4) as potential determinants. Associations were estimated by multivariable linear regression. Overall, we observed that younger age, poor mental health and a more recently established asthma diagnosis were independently associated with increased needs. Information on drug effects was an exception to this pattern as the need in that domain was solely determined by sex (being greater in men). In conclusion, our study provides novel evidence on patient characteristics that are associated with needs in asthma treatment. If confirmed by future studies, our observations may assist healthcare professionals to identify asthma patients with potentially elevated information, support and training needs and could contribute to the development of tailored interventions

    LocTree3 prediction of localization

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    The prediction of protein sub-cellular localization is an important step toward elucidating protein function. For each query protein sequence, LocTree2 applies machine learning (profile kernel SVM) to predict the native sub-cellular localization in 18 classes for eukaryotes, in six for bacteria and in three for archaea. The method outputs a score that reflects the reliability of each prediction. LocTree2 has performed on par with or better than any other state-of-the-art method. Here, we report the availability of LocTree3 as a public web server. The server includes the machine learning-based LocTree2 and improves over it through the addition of homology-based inference. Assessed on sequence-unique data, LocTree3 reached an 18-state accuracy Q18 = 80 ± 3% for eukaryotes and a six-state accuracy Q6 = 89 ± 4% for bacteria. The server accepts submissions ranging from single protein sequences to entire proteomes. Response time of the unloaded server is about 90 s for a 300-residue eukaryotic protein and a few hours for an entire eukaryotic proteome not considering the generation of the alignments. For over 1000 entirely sequenced organisms, the predictions are directly available as downloads. The web server is available at http://www.rostlab.org/services/loctree3

    Detection and quantification of 56 new psychoactive substances in whole blood and urine by LC-MS/MS

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    BACKGROUND New psychoactive substances (NPS) have become increasingly prevalent and are sold in internet shops as 'bath salts' or 'research chemicals' and comprehensive bioanalytical methods are needed for their detection. METHODOLOGY We developed and validated a method using LC and MS/MS to quantify 56 NPS in blood and urine, including amphetamine derivatives, 2C compounds, aminoindanes, cathinones, piperazines, tryptamines, dissociatives and others. Instrumentation included a Synergi Polar-RP column (Phenomenex) and a 3200 QTrap mass spectrometer (AB Sciex). Run time was 20 min. CONCLUSION A novel method is presented for the unambiguous identification and quantification of 56 NPS in blood and urine samples in clinical and forensic cases, e.g., intoxications or driving under the influence of drugs

    Patients’ needs in asthma treatment: development and initial validation of the NEAT questionnaire

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    Objective: We aimed to develop and tentatively validate an instrument assessing patients' needs related to asthma treatment. Methods: Patients were recruited through various approaches (e.g. physicians, pharmacies and patient organizations). Utilizing a mixed methods design, we first conducted five focus groups to explore needs among patients. Next, we devised an item pool which was revised, reduced and evaluated by patients. Finally, data from a survey (n=362) were used to further reduce the item pool and to examine the questionnaire's psychometric properties and validity. Results: Four broad needs categories emerged from the focus groups: (1) information needs; (2) consideration of patient views in diagnosis; (3) consideration of patient views in treatment planning; and (4) addressing patients' fears. We devised 45 items, which were reduced to 22 items based on patient feedback. The survey data suggested a 13-item scale with four subscales (patient expertise, drug effects, handling drugs and exacerbations). Cronbach's alpha was acceptable for those subscales (>0.7) and for the total score (0.9). Increasing scores on subscales and the total score (implying more unmet needs) showed close and consistent associations with poor asthma control, reduced quality of life and low treatment satisfaction. Conclusions: The development process of the Needs in Asthma Treatment (NEAT) questionnaire ensured that needs of asthma patient are captured with high validity. The NEAT questionnaire has been shown to be valid, thereby representing a promising tool for research and delivery of patient-centered care

    Restrictive antibiotic use in children hospitalized for pneumonia: A retrospective inpatient study

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    Introduction: Reducing antibiotic use is a global priority, but the extent to which antibiotic prescriptions can be reduced in children hospitalized for community-acquired pneumonia is unknown. This study aimed to analyse the prescribing experience from a facility with a long-standing practice of restrictive antibiotic use. Methods: We conducted a retrospective analysis of children from birth to 18 years, hospitalized for pneumonia at an integrative medicine hospital in Germany. Antibiotic prescription rate and clinical outcomes were analyzed. The Moreno Bacterial Pneumonia Score, a composite laboratory, clinical and radiologic score, was applied to estimate the proportion of viral and bacterial pneumonia. Results: 252 pneumonia episodes were included, with 172 categorized as probably viral and 80 as bacterial pneumonia. Antibiotic prescription rate was 32 % overall, 26 % for presumed viral and 51 % for presumed bacterial pneumonia. Children with probable bacterial pneumonia who were managed with antibiotics had higher CRP values than those managed without antibiotics (p \u3c 0.001). 13 % of bacterial pneumonia episodes initially managed without antibiotics received antibiotics after hospital day 2. Hospitalization duration was longer for bacterial pneumonia episodes managed with antibiotics than those managed without (7.0 versus 4.9 days, p = 0.003). Conclusions: The observed antibiotic prescription rate of 32 % was much lower than rates reported in the literature - 88–98 %. Children were safely managed with a restrictive antibiotic prescription strategy when physicians judged this to be appropriate. Our findings suggest that a delayed prescription strategy for childhood pneumonia deserves further study. Trial registration: the study was registered at clinicaltrials.org, NCT03256474

    Genotoxic properties of XLR-11, a widely consumed synthetic cannabinoid, and of the benzoyl indole RCS-4

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    Aim of this study was the investigation of the genotoxic properties of XLR-11 [1-(5-fluoropentyl)-1H-indol-3-yl](2,2,3,3-tetramethylcyclopropyl)methanone, a widely consumed synthetic cannabinoid (SC), and of the benzoyl indole RCS-4 (4-methoxyphenyl)(1-pentyl-1H-indol-3-yl)methanone). We characterized the DNA-damaging properties of these drugs in different experimental systems. No evidence for induction of gene mutations was detected in bacterial (Salmonella/microsome) tests, but clear dose-dependent effects were found in in vitro single cell gel electrophoresis (SCGE) assays with human lymphocytes and with buccal- and lung-derived human cell lines (TR-146 and A-549). These experiments are based on the determination of DNA migration in an electric field and enable the detection of single- and double-strand breaks and apurinic sites. Furthermore, we found that both drugs induce micronuclei which are formed as a consequence of chromosomal aberrations. The lack of effects in SCGE experiments with lesion-specific enzymes (FPG, Endo III) shows that the DNA damage is not caused by formation of oxidatively damaged bases; experiments with liver enzyme homogenates and bovine serum albumin indicate that the drugs are not converted enzymatically to DNA-reactive intermediates. Furthermore, results with buccal- and lung-derived human cells show that gaseous treatment of the cells under conditions which reflect the exposure situation in drug users may cause damage of the genetic material in epithelia of the respiratory tract. Since DNA instability is involved in the etiology of cancer, these findings can be taken as an indication that consumption of the SCs may cause tumors in the respiratory tract of consumers.(VLID)348927

    Detection and quantification of 56 new psychoactive substances in whole blood and urine by LC–MS/MS

    No full text
    BACKGROUND New psychoactive substances (NPS) have become increasingly prevalent and are sold in internet shops as 'bath salts' or 'research chemicals' and comprehensive bioanalytical methods are needed for their detection. METHODOLOGY We developed and validated a method using LC and MS/MS to quantify 56 NPS in blood and urine, including amphetamine derivatives, 2C compounds, aminoindanes, cathinones, piperazines, tryptamines, dissociatives and others. Instrumentation included a Synergi Polar-RP column (Phenomenex) and a 3200 QTrap mass spectrometer (AB Sciex). Run time was 20 min. CONCLUSION A novel method is presented for the unambiguous identification and quantification of 56 NPS in blood and urine samples in clinical and forensic cases, e.g., intoxications or driving under the influence of drugs
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