343 resultados para Spatial Mortality
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Retrospective single institution analysis of all patients undergoing sleeve lobectomy or pneumonectomy between 2000 and 2005. Seventy-eight patients underwent pneumonectomy (65 patients <70 years, 13 patients >70 years) and 69 sleeve lobectomy (50 patients <70 years, 19 patients >70 years). Pre-existing co-morbidity, surgical indication and induction therapy was similarly distributed between treatment by age-groups. In patients <70 years, pneumonectomy and sleeve lobectomy resulted in a 30-day mortality of 3% vs. 0 and an overall complication rate of 26% vs. 44%, respectively. In patients >70 years, pneumonectomy and sleeve lobectomy resulted in a 30-day mortality of 15% vs. 0 and an overall complication rate of 23% vs. 32%. In both age groups, pneumonectomy was associated with more airway complications (NS) and a significantly higher postoperative loss of FEV(1) than sleeve lobectomy (P<0.0001, P<0.03). Age per se did not influence the loss of FEV(1) and DLCO for a given type of resection. Sleeve lobectomy may have a therapeutic advantage over pneumonectomy in the postoperative course of elderly patients.
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This paper presents a statistical model for the quantification of the weight of fingerprint evidence. Contrarily to previous models (generative and score-based models), our model proposes to estimate the probability distributions of spatial relationships, directions and types of minutiae observed on fingerprints for any given fingermark. Our model is relying on an AFIS algorithm provided by 3M Cogent and on a dataset of more than 4,000,000 fingerprints to represent a sample from a relevant population of potential sources. The performance of our model was tested using several hundreds of minutiae configurations observed on a set of 565 fingermarks. In particular, the effects of various sub-populations of fingers (i.e., finger number, finger general pattern) on the expected evidential value of our test configurations were investigated. The performance of our model indicates that the spatial relationship between minutiae carries more evidential weight than their type or direction. Our results also indicate that the AFIS component of our model directly enables us to assign weight to fingerprint evidence without the need for the additional layer of complex statistical modeling involved by the estimation of the probability distributions of fingerprint features. In fact, it seems that the AFIS component is more sensitive to the sub-population effects than the other components of the model. Overall, the data generated during this research project contributes to support the idea that fingerprint evidence is a valuable forensic tool for the identification of individuals.
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Colorectal cancer mortality has been declining over the last two decades in Europe, particularly in women, the trends being, however, different across countries and age groups. We updated to 2007 colorectal cancer mortality trends in Europe using data from the World Health Organization (WHO). Rates were analyzed for the overall population and separately in young, middle-age and elderly populations. In the European Union (EU), between 1997 and 2007 mortality from colorectal cancer declined by around 2% per year, from 19.7 to 17.4/100,000 men (world standardized rates) and from 12.5 to 10.5/100,000 women. Persisting favorable trends were observed in countries of western and northern Europe, while there were more recent declines in several countries of eastern Europe, including the Czech Republic, Hungary and Slovakia particularly in women (but not Romania and the Russian Federation). In 2007, a substantial excess in colorectal cancer mortality was still observed in Slovakia, Hungary, Croatia, the Czech Republic and Slovenia in men (rates over 25/100,000), and in Hungary, Norway, Denmark and Slovakia in women (rates over 14/100,000). Colorectal mortality trends were more favorable in the young (30-49 years) from most European countries, with a decline of ∼2% per year since the early 1990s in both men and women from the EU. The recent decreases in colorectal mortality rates in several European countries are likely due to improvements in (early) diagnosis and treatment, with a consequent higher survival from the disease. Interventions to further reduce colorectal cancer burden are, however, still warranted, particularly in eastern European countries.
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Trends in overall age-standardized, truncated (35-64 years) and age-specific (40 to 49) cancer death certification rates in Switzerland from 1951 to 1984 were analysed. There was a substantial rise in lung cancer mortality in males, with an over 100% increase in overall rates. Thus, in the early 1980's, lung cancer alone accounted for 26% of all cancer deaths in Swiss males. However, male lung cancer rates tended to level off in subsequent cohorts starting from younger middle age in the late 1960's. In females, lung cancer mortality was approximately ten times lower than in males, but rates had been consistently rising since the late 1960's in all age groups. Declines were observed for several neoplasms of the digestive tract: besides stomach (overall decline 68% in males, 77% in females), trends were markedly downwards also for oesophageal cancer in males (-57%), and there was some moderate fall for intestinal sites in both sexes and gallbladder in females. Several trends for other common neoplasms were similar to those observed in other developed countries, such as the declines for (cervix) uteri, the general stability for breast cancer, or the increases in pancreatic cancer and (melanoma) of the skin. A peculiar feature of Swiss data, besides the marked decline in oesophageal cancer in males, was the consistent downward trend in thyroid cancer for both sexes. Thus, overall age-standardized total cancer mortality over the last three decades was moderately upwards in Swiss males, but consistently downwards in females. Male trends were more reassuring in middle age, chiefly in consequence of the flattening in lung cancer rises. Possible interpretations of these trends in terms of aetiological hypotheses (i.e., changes in alcohol drinking and improvements in diet for oesophageal cancer, or reduced prevalence of iodine deficiency for thyroid neoplasms) are discussed.
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OBJECTIVE: To evaluate deaths from AIDS-defining malignancies (ADM) and non-AIDS-defining malignancies (nADM) in the D:A:D Study and to investigate the relationship between these deaths and immunodeficiency. DESIGN: Observational cohort study. METHODS: Patients (23 437) were followed prospectively for 104 921 person-years. We used Poisson regression models to identify factors independently associated with deaths from ADM and nADM. Analyses of factors associated with mortality due to nADM were repeated after excluding nADM known to be associated with a specific risk factor. RESULTS: Three hundred five patients died due to a malignancy, 298 prior to the cutoff for this analysis (ADM: n = 110; nADM: n = 188). The mortality rate due to ADM decreased from 20.1/1000 person-years of follow-up [95% confidence interval (CI) 14.4, 25.9] when the most recent CD4 cell count was <50 cells/microl to 0.1 (0.03, 0.3)/1000 person-years of follow-up when the CD4 cell count was more than 500 cells/microl; the mortality rate from nADM decreased from 6.0 (95% CI 3.3, 10.1) to 0.6 (0.4, 0.8) per 1000 person-years of follow-up between these two CD4 cell count strata. In multivariable regression analyses, a two-fold higher latest CD4 cell count was associated with a halving of the risk of ADM mortality. Other predictors of an increased risk of ADM mortality were homosexual risk group, older age, a previous (non-malignancy) AIDS diagnosis and earlier calendar years. Predictors of an increased risk of nADM mortality included lower CD4 cell count, older age, current/ex-smoking status, longer cumulative exposure to combination antiretroviral therapy, active hepatitis B infection and earlier calendar year. CONCLUSION: The severity of immunosuppression is predictive of death from both ADM and nADM in HIV-infected populations.
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Community-level patterns of functional traits relate to community assembly and ecosystem functioning. By modelling the changes of different indices describing such patterns - trait means, extremes and diversity in communities - as a function of abiotic gradients, we could understand their drivers and build projections of the impact of global change on the functional components of biodiversity. We used five plant functional traits (vegetative height, specific leaf area, leaf dry matter content, leaf nitrogen content and seed mass) and non-woody vegetation plots to model several indices depicting community-level patterns of functional traits from a set of abiotic environmental variables (topographic, climatic and edaphic) over contrasting environmental conditions in a mountainous landscape. We performed a variation partitioning analysis to assess the relative importance of these variables for predicting patterns of functional traits in communities, and projected the best models under several climate change scenarios to examine future potential changes in vegetation functional properties. Not all indices of trait patterns within communities could be modelled with the same level of accuracy: the models for mean and extreme values of functional traits provided substantially better predictive accuracy than the models calibrated for diversity indices. Topographic and climatic factors were more important predictors of functional trait patterns within communities than edaphic predictors. Overall, model projections forecast an increase in mean vegetation height and in mean specific leaf area following climate warming. This trend was important at mid elevation particularly between 1000 and 2000 m asl. With this study we showed that topographic, climatic and edaphic variables can successfully model descriptors of community-level patterns of plant functional traits such as mean and extreme trait values. However, which factors determine the diversity of functional traits in plant communities remains unclear and requires more investigations.
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Background: Conventional magnetic resonance imaging (MRI) techniques are highly sensitive to detect multiple sclerosis (MS) plaques, enabling a quantitative assessment of inflammatory activity and lesion load. In quantitative analyses of focal lesions, manual or semi-automated segmentations have been widely used to compute the total number of lesions and the total lesion volume. These techniques, however, are both challenging and time-consuming, being also prone to intra-observer and inter-observer variability.Aim: To develop an automated approach to segment brain tissues and MS lesions from brain MRI images. The goal is to reduce the user interaction and to provide an objective tool that eliminates the inter- and intra-observer variability.Methods: Based on the recent methods developed by Souplet et al. and de Boer et al., we propose a novel pipeline which includes the following steps: bias correction, skull stripping, atlas registration, tissue classification, and lesion segmentation. After the initial pre-processing steps, a MRI scan is automatically segmented into 4 classes: white matter (WM), grey matter (GM), cerebrospinal fluid (CSF) and partial volume. An expectation maximisation method which fits a multivariate Gaussian mixture model to T1-w, T2-w and PD-w images is used for this purpose. Based on the obtained tissue masks and using the estimated GM mean and variance, we apply an intensity threshold to the FLAIR image, which provides the lesion segmentation. With the aim of improving this initial result, spatial information coming from the neighbouring tissue labels is used to refine the final lesion segmentation.Results:The experimental evaluation was performed using real data sets of 1.5T and the corresponding ground truth annotations provided by expert radiologists. The following values were obtained: 64% of true positive (TP) fraction, 80% of false positive (FP) fraction, and an average surface distance of 7.89 mm. The results of our approach were quantitatively compared to our implementations of the works of Souplet et al. and de Boer et al., obtaining higher TP and lower FP values.Conclusion: Promising MS lesion segmentation results have been obtained in terms of TP. However, the high number of FP which is still a well-known problem of all the automated MS lesion segmentation approaches has to be improved in order to use them for the standard clinical practice. Our future work will focus on tackling this issue.
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Author reply to: Duberg AS, Hultcrantz R. Misleading figures on trends in mortality from hepatocellular carcinoma in Europe. Hepatology. 2009;49(1):336. doi: 10.1002/hep.22671. PMID: 19035339.
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BACKGROUND: Chronic kidney disease (CKD) is associated to a higher stroke risk. Anemia is a common consequence of CKD, and is also a possible risk factor for cerebrovascular diseases. The purpose of this study was to examine if anemia and CKD are independent risk factors for mortality after stroke. METHODS: This historic cohort study was based on a stroke registry and included patients treated for a first clinical stroke in the stroke unit of one academic hospital over a three-year period. Mortality predictors comprised demographic characteristics, CKD, glomerular filtration rate (GFR), anemia and other stroke risk factors. GFR was estimated by means of the simplified Modification of Diet in Renal Disease formula. Renal function was assessed according to the Kidney Disease Outcomes Quality Initiative (K/DOQI)-CKD classification in five groups. A value of hemoglobin < 120 g/L in women and < 130 g/L in men on admission defined anemia. Kaplan-Meier survival curves and Cox models were used to describe and analyze one-year survival. RESULTS: Among 890 adult stroke patients, the mean (Standard Deviation) calculated GFR was 64.3 (17.8) ml/min/1.73 m2 and 17% had anemia. Eighty-two (10%) patients died during the first year after discharge. Among those, 50 (61%) had K/DOQI CKD stages 3 to 5 and 32 (39%) stages 1 or 2 (p < 0.001). Anemia was associated with an increased risk of death one year after discharge (p < 0.001). After adjustment for other factors, a higher hemoglobin level was independently associated with decreased mortality one year after discharge [hazard ratio (95% CI) 0.98 (0.97-1.00)]. CONCLUSIONS: Both CKD and anemia are frequent among stroke patients and are potential risk factors for decreased one-year survival. The inclusion of patients with a first-ever clinical stroke only and the determination of anemia based on one single measure, on admission, constitute limitations to the external validity. We should investigate if an early detection and management of both CKD and anemia could improve survival in stroke patients.
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Matrix sublimation has demonstrated to be a powerful approach for high-resolution matrix-assisted laser desorption ionization (MALDI) imaging of lipids, providing very homogeneous solvent-free deposition. This work presents a comprehensive study aiming to evaluate current and novel matrix candidates for high spatial resolution MALDI imaging mass spectrometry of lipids from tissue section after deposition by sublimation. For this purpose, 12 matrices including 2,5-dihydroxybenzoic acid (DHB), sinapinic acid (SA), α-cyano-4-hydroxycinnamic acid (CHCA), 2,6-dihydroxyacetphenone (DHA), 2',4',6'-trihydroxyacetophenone (THAP), 3-hydroxypicolinic acid (3-HPA), 1,8-bis(dimethylamino)naphthalene (DMAN), 1,8,9-anthracentriol (DIT), 1,5-diaminonapthalene (DAN), p-nitroaniline (NIT), 9-aminoacridine (9-AA), and 2-mercaptobenzothiazole (MBT) were investigated for lipid detection efficiency in both positive and negative ionization modes, matrix interferences, and stability under vacuum. For the most relevant matrices, ion maps of the different lipid species were obtained from tissue sections at high spatial resolution and the detected peaks were characterized by matrix-assisted laser desorption ionization time-of-flight/time-of-flight (MALDI-TOF/TOF) mass spectrometry. First proposed for imaging mass spectrometry (IMS) after sublimation, DAN has demonstrated to be of high efficiency providing rich lipid signatures in both positive and negative polarities with high vacuum stability and sub-20 μm resolution capacity. Ion images from adult mouse brain were generated with a 10 μm scanning resolution. Furthermore, ion images from adult mouse brain and whole-body fish tissue sections were also acquired in both polarity modes from the same tissue section at 100 μm spatial resolution. Sublimation of DAN represents an interesting approach to improve information with respect to currently employed matrices providing a deeper analysis of the lipidome by IMS.
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Contexte L'hyperthyroïdie infra-clinique est une perturbation de la fonction thyroïdienne, définie par une thyrotropine (TSH) basse et des taux normaux de thyroxine libre (T4L) et triiodothyronine (T3). Cette dysfonction affecte de 1% à 5% des adultes de plus de 65 ans, surtout les femmes, et pourrait être associée avec les maladies cardiovasculaires, la fibrillation auriculaire et l'insuffisance cardiaque. Toutefois, les conclusions des différentes études de cohortes sont contradictoires, avec des limites méthodologiques empêchant leur comparaison de manière formelle. L'objet du travail de thèse était d'estimer le risque de mortalité de toute cause, le risque de mortalité de cause cardiovasculaire, le risque d'événements cardiovasculaires et le risque de fibrillation auriculaire associés à l'hyperthyroïdie infra-clinique dans toutes les grandes études de cohorte prospectives disponibles à ce jour. Méthode et Résultats Les données individuelles de 52'674 participants provenant de 10 études de cohorte prospectives des Etats-Unis, d'Europe, du Brésil et d'Australie ont été analysées pour évaluer les risques à long-terme de l'hyperthyroïdie infra-clinique. L'euthyroïdie était définie par une TSH entre 0.45 et 4.49 mUI/l et l'hyperthyroïdie infra-clinique par une TSH inférieure à 0.45 mUI/l avec un taux normal de T4L, après exclusion des participants prenant des médicaments pouvant perturber la thyroïde. Sur les 52'674 participants, 2188 (4.2%) avaient une hyperthyroïdie infra-clinique. Pendant un suivi de plus de 8 ans, 8527 participants sont décédés (dont 1896 de cause cardiovasculaire), 3653 sur 22'437 ont eu un événement cardiovasculaire et 785 sur 8711 ont développé une fibrillation auriculaire. Dans des analyses ajustées pour l'âge et le sexe, l'hyperthyroïdie infra-clinique était associée à une hausse de la mortalité de toute cause (hazard ratio [HR] 1.24, intervalle de confiance à 95% [IC] 1.06-1.46), de la mortalité cardiovasculaire (HR 1.29, IC 1.02-1.62), des événements cardiovasculaires (HR 1.21, IC 0.99- 1.46) ainsi qu'une hausse de l'incidence de fibrillation auriculaire (HR 1.68, IC 1.16-2.43). Les risques ne différaient pas significativement dans les analyses stratifiées selon l'âge, le sexe ou la présence de maladies cardiovasculaires préexistantes, et étaient similaires après ajustement multiple pour les facteurs de risque cardiovasculaire. Le risque de mortalité cardiovasculaire et de fibrillation auriculaire était plus élevé avec une TSH très basse (< 0.10 Ul/I) comparé à une TSH modérément abaissée (0.10-0.44 mUI/l, valeurs ρ for trend < 0.03). Conclusions et perspectives L'hyperthyroïdie infra-clinique est associée à un risque augmenté de mortalité de toute cause, de cause cardiovasculaire et de fibrillation auriculaire, avec un risque plus élevé quand la TSH est inférieure à 0.10 mUI/l. Ces résultats sont cohérents avec les dernières recommandations internationales conseillant de considérer un traitement de l'hyperthyroïdie infra-clinique pour les adultes de plus de 65 ans ou les patients avec maladie cardiaque, en particulier si la TSH est inférieure à 0.10 mUI/l. Toutefois, des études cliniques randomisées sont encore nécessaires pour prouver l'efficacité du traitement et déterminer si l'on devrait dépister les problèmes de thyroïde dans la population générale.
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The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.
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Comment on: Johnston SC, Mendis S, Mathers CD. Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling. Lancet Neurol. 2009 Apr;8(4):345-54. PMID: 19233730