940 resultados para Methods: data analysis
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This pilot Health Impact Assessment (HIA) exercise was conducted as part of the ‘Policy Health Impact Assessment for the European Union’, commissioned by the European Commission ’s Directorate Generale Health and Consumer Protection (DG Sanco). The project is coordinated by Liverpool University and the research partners are from Ireland, Germany and the Netherlands. The aim of the European project is to develop a HIA methodology for assessing the health impacts of EU policies and activities. The purpose of the pilot HIA in Ireland was to test the methodology produced in the first phase of the project in 2002. The policy chosen for assessment was the European Employment Strategy. The Irish pilot used a range of methods suggested in the draft methodology but concentrated particularly on the participatory aspects of HIA. A key stakeholder group with knowledge of employment (including decision makers in labour market policy) was established to provide expert advice and support. Other methods used included policy analysis, information gathering from key informants, community profiling (including demographic and labour force data), data analysis, literature review, the production of a report and the development of recommendations.
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OBJECTIVE: To investigate the relationship between usual and acute alcohol consumption among injured patients and, when combined, how they covary with other injury attributes. METHODS: Data from a randomised sample of 486 injured patients interviewed in an emergency department (Lausanne University Hospital, Switzerland) were analysed using the chi(2) test for independence and cluster analysis. RESULTS: Acute alcohol consumption (24.7%) was associated with usual drinking and particularly with high volumes of consumption. Six injury clusters were identified. Over-representations of acute consumption were found in a cluster typical of injuries sustained through interpersonal violence and in another formed by miscellaneous circumstances. A third cluster, typical of sports injuries, was linked to a group of frequent heavy episodic drinkers (without acute consumption). CONCLUSIONS: Among injured patients, acute alcohol consumption is common and associated with usual drinking. Acute and/or usual consumption form part of some, but not all, injury clusters.
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INTRODUCTION. Both hypocapnia and hypercapnia can be deleterious to brain injured patients. Strict PaCO2 control is difficult to achieve because of patient's instability and unpredictable effects of ventilator settings changes. OBJECTIVE. The aim of this study was to evaluate our ability to comply with a protocol of controlled mechanical ventilation (CMV) aiming at a PaCO2 between 35 and 40 mmHg in patients requiring neuro-resuscitation. METHODS. Retrospective analysis of consecutive patients (2005-2011) requiring intracranial pressure (ICP) monitoring for traumatic brain injury (TBI), subarachnoid haemorrhage (SAH), intracranial haemorrhage (ICH) or ischemic stroke (IS). Demographic data, GCS, SAPS II, hospital mortality, PaCO2 and ICP values were recorded. During CMV in the first 48 h after admission, we analyzed the time spent within the PaCO2 target in relation to the presence or absence of intracranial hypertension (ICP[20 mmHg, by periods of 30 min) (Table 1). We also compared the fraction of time (determined by linear interpolation) spent with normal, low or high PaCO2 in hospital survivors and non-survivors (Wilcoxon, Bonferroni correction, p\0.05) (Table 2). PaCO2 samples collected during and after apnoea tests were excluded. Results given as median [IQR]. RESULTS. 436 patients were included (TBI: 51.2 %, SAH: 20.6 %, ICH: 23.2 %, IS: 5.0 %), age: 54 [39-64], SAPS II score: 52 [41-62], GCS: 5 [3-8]. 8744 PaCO2 samples were collected during 150611 h of CMV. CONCLUSIONS. Despite a high number of PaCO2 samples collected (in average one sample every 107 min), our results show that patients undergoing CMV for neuro- resuscitation spent less than half of the time within the pre-defined PaCO2 range. During documented intracranial hypertension, hypercapnia was observed in 17.4 % of the time. Since non-survivors spent more time with hypocapnia, further analysis is required to determine whether hypocapnia was detrimental per se, or merely reflects increased severity of brain insult.
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BACKGROUND: Surgical recurrence rates among patients with Crohn's disease with ileocolic resection (ICR) remain high, and factors predicting surgical recurrence remain controversial. We aimed to identify risk and protective factors for repetitive ICRs among patients with Crohn's disease in a large cohort of patients. METHODS: Data on 305 patients after first ICR were retrieved from our cross-sectional and prospective database (median follow-up: 15 yr [0-52 yr]). Data were compared between patients with 1 (ICR = 1, n = 225) or more than 1 (ICR >1, n = 80) resection. Clinical phenotypes were classified according to the Montreal Classification. Gender, family history of inflammatory bowel disease, smoking status, type of surgery, immunomodulator, and biological therapy before, parallel to and after first ICR were analyzed. RESULTS: The mean duration from diagnosis until first ICR did not differ significantly between the groups, being 5.93 ± 7.65 years in the ICR = 1 group and 5.36 ± 6.35 years in the ICR >1 group (P = 0.05). Mean time to second ICR was 6.7 ± 5.74 years. In the multivariate logistic regression analysis, ileal disease location (odds ratio [OR], 2.42; 95% confidence interval [CI], 1.02-5.78; P = 0.05) was a significant risk factor. A therapy with immunomodulators at time of or within 1 year after first ICR (OR, 0.23; 95% CI, 0.09-0.63; P < 0.01) was a protective factor. Neither smoking (OR, 1.16; 95% CI, 0.66-2.06) nor gender (male OR, 0.85; 95% CI, 0.51-1.42) or family history (OR, 1.68; 95% CI, 0.84-3.36) had a significant impact on surgical recurrence. CONCLUSIONS: Immunomodulators have a protective impact regarding surgical recurrence after ICR. In contrast, ileal disease location constitutes a significant risk factor for a second ICR.
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Hidden Markov models (HMMs) are probabilistic models that are well adapted to many tasks in bioinformatics, for example, for predicting the occurrence of specific motifs in biological sequences. MAMOT is a command-line program for Unix-like operating systems, including MacOS X, that we developed to allow scientists to apply HMMs more easily in their research. One can define the architecture and initial parameters of the model in a text file and then use MAMOT for parameter optimization on example data, decoding (like predicting motif occurrence in sequences) and the production of stochastic sequences generated according to the probabilistic model. Two examples for which models are provided are coiled-coil domains in protein sequences and protein binding sites in DNA. A wealth of useful features include the use of pseudocounts, state tying and fixing of selected parameters in learning, and the inclusion of prior probabilities in decoding. AVAILABILITY: MAMOT is implemented in C++, and is distributed under the GNU General Public Licence (GPL). The software, documentation, and example model files can be found at http://bcf.isb-sib.ch/mamot
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This review describes the extent of research on women's health in Ireland and assesses its adequacy as a basis for policy. Distinguishing between data collection and data analysis as components of research, the findings of the review could be summarised thus: there are some areas of womenâ?Ts health on which we do not have any data; in other areas data are collected but the data collection methods need to be gender proofed to ensure they are capable of revealing accurately the situation regarding women Download the Report here
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There is a significant potential to improve the plant-beneficial effects of root-colonizing pseudomonads by breeding wheat genotypes with a greater capacity to sustain interactions with these bacteria. However, the interaction between pseudomonads and crop plants at the cultivar level, as well as the conditions which favor the accumulation of beneficial microorganisms in the wheat rhizosphere, is largely unknown. Therefore, we characterized the three Swiss winter wheat (Triticum aestivum) cultivars Arina, Zinal, and Cimetta for their ability to accumulate naturally occurring plant-beneficial pseudomonads in the rhizosphere. Cultivar performance was measured also by the ability to select for specific genotypes of 2,4-diacetylphloroglucinol (DAPG) producers in two different soils. Cultivar-specific differences were found; however, these were strongly influenced by the soil type. Denaturing gradient gel electrophoresis (DGGE) analysis of fragments of the DAPG biosynthetic gene phlD amplified from natural Pseudomonas rhizosphere populations revealed that phlD diversity substantially varied between the two soils and that there was a cultivar-specific accumulation of certain phlD genotypes in one soil but not in the other. Furthermore, the three cultivars were tested for their ability to benefit from Pseudomonas inoculants. Interestingly, Arina, which was best protected against Pythium ultimum infection by inoculation with Pseudomonas fluorescens biocontrol strain CHA0, was the cultivar which profited the least from the bacterial inoculant in terms of plant growth promotion in the absence of the pathogen. Knowledge gained of the interactions between wheat cultivars, beneficial pseudomonads, and soil types allows us to optimize cultivar-soil combinations for the promotion of growth through beneficial pseudomonads. Additionally, this information can be implemented by breeders into a new and unique breeding strategy for low-input and organic conditions.
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This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.
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BACKGROUND: Serosorting is practiced by men who have sex with men (MSM) to reduce human immunodeficiency virus (HIV) transmission. This study evaluates the prevalence of serosorting with casual partners, and analyses the characteristics and estimated numbers of serosorters in Switzerland 2007-2009. METHODS: Data were extracted from cross-sectional surveys conducted in 2007 and 2009 among self-selected MSM recruited online, through gay newspapers, and through gay organizations. Nested models were fitted to ascertain the appropriateness of pooling the datasets. Multiple logistic regression analysis was performed on pooled data to determine the association between serosorting and demographic, lifestyle-related, and health-related factors. Extrapolations were performed by applying proportions of various types of serosorters to Swiss population data collected in 2007. RESULTS: A significant and stable number of MSM (approximately 39% in 2007 and 2009) intentionally engage in serosorting with casual partners in Switzerland. Variables significantly associated with serosorting were: gay organization membership (aOR = 1.67), frequent internet use for sexual encounters (aOR = 1.71), having had a sexually transmitted infection (STI) at any time in the past 12 months (aOR = 1.70), HIV-positive status (aOR = 0.52), regularly frequenting sex-on-premises venues (aOR = 0.42), and unprotected anal intercourse (UAI) with partners of different or unknown HIV status in the past 12 months (aOR = 0.22). Approximately one-fifth of serosorters declared HIV negativity without being tested in the past 12 months; 15.8% reported not knowing their own HIV status. CONCLUSION: The particular risk profile of serosorters having UAI with casual partners (multiple partners, STI history, and inadequate testing frequency) requires specific preventive interventions tailored to HIV status.
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Introduction Because it decreases intubation rate and mortality, NIV has become first-line treatment in case of hypercapnic acute respiratory failure (HARF). Whether this approach is equally successful for all categories of HARF patients is however debated. We assessed if any clinical characteristics of HARF patients were associated with NIV intensity, success, and outcome, in order to identify prognostic factors. Methods Retrospective analysis of the clinical database (clinical information system and MDSi) of patients consecutively admitted to our medico-surgical ICU, presenting with HARF (defined as PaCO2 > 50 mmHg), and receiving NIV between May 2008 and December 2010. Demographic data, medical diagnoses (including documented chronic lung disease), reason for ICU hospitalization, recent surgical interventions, SAPS II and McCabe scores were extracted from the database. Total duration of NIV and the need for tracheal intubation during the 5 days following the first hypercapnia documentation, as well as ICU, hospital and one year mortality were recorded. Results are reported as median [IQR]. Comparisons were carried out with Chi2 or Kruskal-Wallis tests, p<0.05 (*). Results Two hundred and twenty patients were included. NIV successful patients received 16 [9-31] hours of NIV for up to 5 days. Fifty patients (22.7%) were intubated 11 [2-34] hours after HARF occurence, after having receiving 10 [5-21] hours of NIV. Intubation was correlated with increased ICU (18% vs. 6%, p<0.05) and hospital (42% vs. 31%, p>0.05) mortality. SAPS II score was related to increasing ICU (51 [29-74] vs. 23 [12-41]%, p<0.05), hospital (37% [20-59] vs 20% [12-37], p<0.05) and one year mortality (35% vs 20%, p<0.05). Surgical patients were less frequent among hospital fatalities (28.8% vs. 46.3%, p<0.05, RR 0.8 [0-6-0.9]). Nineteen patients (8.6%) died in the ICU, 73 (33.2%) during their hospital stay and 108 (49.1%) were dead one year after HARF. Conclusion The practice to start NIV in all suitable patients suffering from HARF is appropriate. NIV can safely and appropriately be used in patients suffering from HARF from an origin different from COPD exacerbation. Beside usual predictors of severity such as severity score (SAPS II) appear to be associated with increased mortality. Although ICU mortality was low in our patients, hospital and one year mortality were substantial. Surgical patients, although undergoing a similar ICU course, had a better hospital and one year outcome.
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The geographic information system approach has permitted integration between demographic, socio-economic and environmental data, providing correlation between information from several data banks. In the current work, occurrence of human and canine visceral leishmaniases and insect vectors (Lutzomyia longipalpis) as well as biogeographic information related to 9 areas that comprise the city of Belo Horizonte, Brazil, between April 2001 and March 2002 were correlated and georeferenced. By using this technique it was possible to define concentration loci of canine leishmaniasis in the following regions: East; Northeast; Northwest; West; and Venda Nova. However, as for human leishmaniasis, it was not possible to perform the same analysis. Data analysis has also shown that 84.2% of the human leishmaniasis cases were related with canine leishmaniasis cases. Concerning biogeographic (altitude, area of vegetation influence, hydrographic, and areas of poverty) analysis, only altitude showed to influence emergence of leishmaniasis cases. A number of 4673 canine leishmaniasis cases and 64 human leishmaniasis cases were georeferenced, of which 67.5 and 71.9%, respectively, were living between 780 and 880 m above the sea level. At these same altitudes, a large number of phlebotomine sand flies were collected. Therefore, we suggest control measures for leishmaniasis in the city of Belo Horizonte, giving priority to canine leishmaniasis foci and regions at altitudes between 780 and 880 m.
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QUESTIONS UNDER STUDY: To investigate if two distinct, commercially available embryo culture media have a different effect on birthweight and length of singleton term infants conceived after IVF-ICSI. METHODS: University hospital based cohort study. Between 1 January 2000 and 31 December 2004, patients conceiving through IVF-ICSI at the University Hospital, Lausanne have been allocated to two distinct embryo culture media. Only term singleton pregnancies were analysed (n = 525). Data analysis was performed according to two commercially available culture media: Vitrolife (n = 352) versus Cook (n = 173). Analysis was performed through linear regression adjusted for confounders. Media were considered equivalent if the 95% confidence interval lay between -150 g/+150 g. RESULTS: Length, gestational age and distribution of birthweight percentiles did not differ between groups (for both genders). Analysis of the whole cohort, adjusted for a subset of confounders, resulted in a statistically not different mean birthweight between the two groups (Vitrolife +37 g vs Cook, 95%CI: -46 g to 119 g) suggesting equivalence. Adjustment for an enlarged number of confounders in a subsample of patients (n = 258) also revealed no relevant mean birthweight difference of +71 g (95%CI: -45 g to 187 g) in favour of Vitrolife; however, lacking power to prove equivalence. CONCLUSIONS: Our data suggest that significant differences in birthweight due to these two distinct, commercially available embryo culture media are unlikely.
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BACKGROUND AND AIMS: Data from the literature reveal the contrasting influences of family members and friends on the survival of old adults. On one hand, numerous studies have reported a positive association between social relationships and survival. On the other, ties with children may be associated with an increased risk of disability, whereas ties with friends or other relatives tend to improve survival. A five-year prospective, population-based study of 295 Swiss octogenarians tested the hypothesis that having a spouse, siblings or close friends, and regular contacts with relatives or friends are associated with longer survival, even at a very old age. METHODS: Data were collected through individual interviews, and a Cox regression model was applied to assess the effects of kinship and friendship networks on survival, after adjusting for socio-demographic and health-related variables. RESULTS: Our analyses indicate that the presence of a spouse in the household is not significantly related to survival, whereas the presence of siblings at baseline improves the oldest old's chances of surviving five years later. Moreover, the existence of close friends is a central component in the patterns of social relationships of oldest adults, and one which is significantly associated with survival. Overall, the protective effect of social relationships on survival is more related to the quality of those relationships (close friends) than to the frequency of relationships (regular contacts). CONCLUSIONS: We hypothesize that the existence of siblings or close friends may beneficially affect survival, due to the potential influence on the attitudes of octogenarians regarding health practices and adaptive strategies.
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AIM: To assess whether repeating a grade was associated with drug use among adolescents after controlling for personal, family and school-related variables, and whether there were differences between students in mandatory and post-mandatory school. METHODS: Data were drawn from the Catalonia Adolescent Health Survey, a cross-sectional study of in-school adolescents aged 14-19 y. The index group included 366 subjects who were repeating a grade at the time the survey was carried out (old-for-grade, OFG). A control group matched by gender, school and being one grade ahead was randomly chosen among all the subjects who had never repeated a grade. All statistically significant variables in the bivariate analysis were included in a multivariate analysis. In a second step, all analyses were repeated for students in mandatory (14-16 y) and post-mandatory (17-19 y) school. RESULTS: After controlling for background variables, subjects in the index group were more likely to perceive that most of their peers were using synthetic drugs and to have ever used them, to have bad grades and a worse relationship with their teachers. OFG students in mandatory school were more likely to have divorced parents, bad grades and have ever used synthetic drugs, whereas they were less likely to be regular drinkers. OFG students in post-mandatory school were more likely to have below average grades, to be regular smokers and to perceive that most of their peers used synthetic drugs. CONCLUSIONS: When background variables are taken into consideration, the relationship between repeating a grade and drug use is not so clear. By increasing the familial and academic support of adolescents with academic underachievement, we could reduce their drug consumption.
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BACKGROUND: A growing body of literature indicates that adolescents with chronic conditions are as likely, or more likely, to take risky behaviours than their healthy peers. The objective of this research was to assess whether adolescents with chronic illness in Catalonia differ from their healthy peers in risk-taking behaviour. METHODS: Data were drawn from the Catalonia Adolescent Health database, a survey including a random school-based sample of 6952 young people, aged 14-19 years. The index group (IG) included 665 adolescents (450 females) reporting several chronic conditions. The comparison group (CG) comprised 6287 healthy adolescents (3306 females). Personal, family and school-related variables were analysed to ensure comparability between groups. Sexual behaviour, drug use (tobacco, alcohol, cannabis, cocaine and synthetic drugs) and perception of drug use among peers and in school were compared. Analysis was carried out separately by gender. chi-square, Fisher's and Student's tests were used to compare categorical and continuous variables. RESULTS: The prevalence of chronic conditions was 9.6%, with females showing a higher prevalence than males. The IG showed similar or higher rates of sexual intercourse and risky sexual behaviour. For most studied drugs, IG males reported slightly lower rates of use than CG males, while IG females showed higher rates for every drug studied. No differences were found in the perceptions of drug use among peers or in their school. CONCLUSIONS: Similar to previous research, chronically ill adolescents in our sample are as likely, or more likely, to take risky behaviours than their healthy counterparts and should receive the same anticipatory guidance.