Optimal management of elderly patients with glioblastoma.

Median age at diagnosis in patients with glioblastoma (GB) is slowly increasing with an aging population in Western countries, and was 64years in 2006. The number of patients age 65 and older with GB will double in 2030 compared with 2000. Survival in this older cohort of patients is significantly less than seen in younger patients. This may in part be related to more aggressive biology of tumor, reduced use of standard management approaches, increased toxicity of available therapies, and increased presence of comorbidities in this older patient population. Limited data do support the use of more extensive resection in these patients. Randomized data support the use of post-operative radiotherapy (RT) versus supportive care, but do not demonstrate a benefit for the use of the standard 6weeks course of RT over hypofractionated RT given over 3weeks. Preliminary data of randomized studies raise the possibility of temozolomide alone as an option for these patients. The use of 6weeks of RT with concurrent and adjuvant temozolomide has been associated with reasonably good survival in several uncontrolled small series of selected older patients; however, this better outcome may be related to the selection of better prognosis patients rather than the specific therapy utilized. The current National Cancer Institute of Canada (NCIC) and European Organization for Research and Treatment of Cancer (EORTC) CE.6/26062/22061 randomized study of short course RT with or without concurrent and adjuvant temozolomide will help determine the optimal therapy for this older cohort with currently available therapies.

Implementing statistical learning methods through Bayesian networks (Part 2): bayesian evaluations for results of black toner analyses in forensic document examination

This paper presents and discusses the use of Bayesian procedures - introduced through the use of Bayesian networks in Part I of this series of papers - for 'learning' probabilities from data. The discussion will relate to a set of real data on characteristics of black toners commonly used in printing and copying devices. Particular attention is drawn to the incorporation of the proposed procedures as an integral part in probabilistic inference schemes (notably in the form of Bayesian networks) that are intended to address uncertainties related to particular propositions of interest (e.g., whether or not a sample originates from a particular source). The conceptual tenets of the proposed methodologies are presented along with aspects of their practical implementation using currently available Bayesian network software.

The SYNTAX score predicts early mortality risk in the elderly with acute coronary syndrome having primary PCI.

BACKGROUND: The SYNTAX score (SXscore), an angiographic score reflecting coronary lesion complexity, predicts clinical outcomes in patients with left main or multivessel disease, and in patients with ST-segment elevation myocardial infarction undergoing primary PCI. The clinical SXscore (CSS) integrates the SXscore and clinical variables (age, ejection fraction, serum creatinine) into a single score. We analyzed these scores in elderly patients with acute coronary syndrome (ACS) undergoing primary PCI. The purpose of this analysis was not to decide which patients should undergo PCI, but to predict clinical outcomes in this population. METHODS: The SXscore was determined in a consecutive series of 114 elderly patients (mean age, 79.6 ± 4.1 years) undergoing primary PCI for ACS. Outcomes were stratified according to SXscore tertiles: SXLOW ≤15 (n = 39), 15< SXMID <23 (n = 40), and SXHIGH ≥23 (n = 35). The primary endpoint was all-cause mortality at 30 days. Secondary endpoints were nonfatal major adverse cardiac and cerebrovascular events (MACCE) at 30 days, and 1-year outcomes in patients discharged alive. RESULTS: Mortality at 30 days was higher in the SXHIGH group compared with the aggregate SXLOW+MID group (37.1% vs 5.1%; P<.0001), and in the CSSHIGH group compared with the aggregate CSSLOW+MID group (25.5% vs 1.4%; P=.0001). MACCE rates at 30 days were similar among SXscore tertiles. The CSS predicted 1-year MACCE rates (12.1% for CSSHIGH vs 3.1% for CSSLOW+MID; P=.03). CONCLUSIONS: The SXscore predicts 30-day mortality in elderly patients with ACS undergoing primary PCI. In patients discharged alive, the CSS predicts risk of MACCE at 1 year.

Cap a una definició inclusiva de l'e-learning

Peer-reviewed

Comparison of three bone ultrasounds for the discrimination of subjects with and without osteoporotic fractures among 7562 elderly women.

Bone ultrasound measures (QUSs) can assess fracture risk in the elderly. We compared three QUSs and their association with nonvertebral fracture history in 7562 Swiss women 70-80 years of age. The association between nonvertebral fracture was higher for heel than phalangeal QUS. INTRODUCTION: Because of the high morbidity and mortality associated with osteoporotic fractures, it is essential to detect subjects at risk for such fractures with screening methods. Because quantitative bone ultrasound (QUS) discriminated subjects with osteoporotic fractures from controls in several cross-sectional studies and predicted fractures in prospective studies, QUS could be more practical than DXA for screening. MATERIAL AND METHODS: This cross-sectional and retrospective multicenter (10 centers) study was performed to compare three QUSs (two heel ultrasounds: Achilles+ [GE-Lunar] and Sahara [Hologic]; the phalanges: ultrasound DBM sonic 1200 [IGEA]) for determining by logistic regression nonvertebral fracture odds ratio (OR) in a sample of 7562 Swiss women, 75.3 +/- 3.1 years of age. The two heel QUSs measured the broadband ultrasound attenuation (BUA) and the speed of sound (SOS). In addition, Achilles+ calculated the stiffness index (SI) and the Sahara calculated the quantitative ultrasound index (QUI) from BUA and SOS. The DBM sonic 1200 measured the amplitude-dependent SOS (AD-SOS). RESULTS: Eighty-six women had a history of a traumatic hip fracture after the age of 50, 1594 had a history of forearm fracture, and 2016 had other nonvertebral fractures. No fracture history was reported by 3866 women. Discrimination for hip fracture was higher than for the other nonvertebral fractures. The two heel QUSs had a significantly higher discrimination power than the QUSs of the phalanges, with standardized ORs, adjusted for age and body mass index, ranging from 2.1 to 2.7 (95% CI = 1.6, 3.5) compared with 1.4 (95% CI = 1.1, 1.7) for the AD-SOS of DBM sonic 1200. CONCLUSION: This study showed a high association between heel QUS and hip fracture history in elderly Swiss women. This could justify integration of QUS among screening strategies for identifying elderly women at risk for osteoporotic fractures.

Learning spatial filters for multispectral image segmentation

We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

Adaption of Courses and Learning Environment to the User Context in dotLRN

The explosive growth of Internet during the last years has been reflected in the ever-increasing amount of the diversity and heterogeneity of user preferences, types and features of devices and access networks. Usually the heterogeneity in the context of the users which request Web contents is not taken into account by the servers that deliver them implying that these contents will not always suit their needs. In the particular case of e-learning platforms this issue is especially critical due to the fact that it puts at stake the knowledge acquired by their users. In the following paper we present a system that aims to provide the dotLRN e-learning platform with the capability to adapt to its users context. By integrating dotLRN with a multi-agent hypermedia system, online courses being undertaken by students as well as their learning environment are adapted in real time

Searching for and positioning of contextualized learning objects

Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong learning process; in fact, this is also the main objective of education. However, some barriers to the development of a LO economy, such as the granularity and editability of LO, must be overcome. Furthermore, some enablers, such as learning design generation and standards usage, must be promoted in order to enhance LO economy. For this article, we introduced the integration of distributed learning object repositories (DLOR) as sources of LO that could be placed in adaptive learning designs to assist teachers’ design work. Two main issues presented as a result: how to access distributed LO, and where to place the LO in the learning design. To address these issues, we introduced two processes: LORSE, a distributed LO searching process, and LOOK, a micro context-based positioning process, respectively. Using these processes, the teachers were able to reuse LO from different sources to semi-automatically generate an adaptive learning design without leaving their virtual environment. A layered evaluation yielded good results for the process of placing learning objects from controlled learning object repositories into a learning design, and permitting educators to define different open issues that must be covered when they use uncontrolled learning object repositories for this purpose. We verified the satisfaction users had with our solution

Influence of comorbidity on outcome after pulmonary resection in the elderly

The aim of this study was to determine the influence of comorbidity on outcome after pulmonary resection in patients over 75 years old. Three hundred and thirty-three patients with non-small-cell lung cancer operated on between 1998 and 2002 were divided into 3 age groups: < 60 years (group 1), 60-75 years (group 2), > 75 years (group 3). Overall operative mortality was 0.3%; 30-day mortality was 1%. There were more major complications with re-operation in groups 1 and 2, but minor complications occurred significantly more frequently in group 3 (36% vs 16%). Overall mean hospital stay was 12 days, with no significant difference among groups. Three-year survival rates were: 80%, 70%, and 65% in groups 1, 2, and 3, respectively, with no significant difference among groups. Age or the presence of comorbidity should not be considered contraindications for lung resection. With proper patient selection and careful preoperative evaluation, many major complications after pneumonectomy are avoidable.

Dépistage et prévention chez les aînés: quelles interventions proposer, à qui, et jusqu'à quel âge [Screening and prevention in the elderly: which interventions should be proposed, to whom, and up to what age?].

Recommendations on preventive services rarely mention how to apply them to older people. Even though general criteria (prevalence of disease, quality of screening tests) that influence screening's efficacy remain important, appropriateness of screening in older persons depends much more on individual criteria, such as comorbidity, functional status, and life expectancy. More than with any other age group, patients preferences regarding future investigation and treatment guide the clinical decision. This article focuses on primary and secondary prevention, and discusses specific criteria to consider in each patient. A table summarizes the appropriate recommendations.

Acute total hip arthroplasty for acetabular fractures in the elderly: 11 patients followed for 2 years.

We describe the use of cable fixation and acute total hip replacement for acetabular fracture in the elderly. 12 patients with acetabular fractures, having a mean age of 79 (65-93) years, were treated with cable fixation and acute total hip arthroplasty. 8 were T-shaped fractures and 4 associated fractures of the posterior column and posterior wall. 1 patient died 5 months after surgery and the remaining 11 were followed for 2 years. All patients had a good clinical outcome. Radiographic assessment showed healing of the fracture and a satisfactory alignment of the cup without loosening. This surgical technique provides good primary fixation, stabilizes complex acetabular fractures in elderly patients with osteoporotic bone and permits early postoperative mobilization.

Aptitude à la conduite, pathologies psychiatriques et psychotropes chez la personne âgée [Driving ability, mental illness and psychotropic medication in the elderly].

Fitness to drive in elderly drivers is most commonly discussed with a focus on cognitive impairment. Therefore, this article is focussing on mental illness and the use of psychotropic drugs in elderly drivers, which can both interfere with fitness to drive. Based on a detailed literature review and on clinical judgement, we propose signposts and "red flags" to judge the individual risks. Health professionals dealing with elderly patients should in particular be aware of the dangers related to cumulative risks and need to inform the patients appropriately. For medico-legal reasons the information provided to patients must be written down in the medical record. Individual counselling is important as fitness to drive is a complex topic.

Evaluation de la sarcopénie de la personne agée par la bio-impédance spectroscopique [Multispectral bioimpedance and sarcopenia in the elderly].

The definition of sarcopenia includes both a loss of muscle strength and a decline in functional quality in addition to the loss of muscle protein mass. Multispectral bioimpendance allows bedside assessment of muscle mass. Using this new tool, we performed a pilot study to look for a possible correlation between muscle mass and various tests of muscle strength (grip strength, key-pitch, tip-pinch) and with functional tests (walk speed on 10 meters and Tinetti test). Our study demonstrates a good correlation between muscle mass determined by spectroscopic bioimpendance and muscle strength assessment, but no correlation with functional tests.

Decoding sequence learning from single-trial intracranial EEG in humans.

We propose and validate a multivariate classification algorithm for characterizing changes in human intracranial electroencephalographic data (iEEG) after learning motor sequences. The algorithm is based on a Hidden Markov Model (HMM) that captures spatio-temporal properties of the iEEG at the level of single trials. Continuous intracranial iEEG was acquired during two sessions (one before and one after a night of sleep) in two patients with depth electrodes implanted in several brain areas. They performed a visuomotor sequence (serial reaction time task, SRTT) using the fingers of their non-dominant hand. Our results show that the decoding algorithm correctly classified single iEEG trials from the trained sequence as belonging to either the initial training phase (day 1, before sleep) or a later consolidated phase (day 2, after sleep), whereas it failed to do so for trials belonging to a control condition (pseudo-random sequence). Accurate single-trial classification was achieved by taking advantage of the distributed pattern of neural activity. However, across all the contacts the hippocampus contributed most significantly to the classification accuracy for both patients, and one fronto-striatal contact for one patient. Together, these human intracranial findings demonstrate that a multivariate decoding approach can detect learning-related changes at the level of single-trial iEEG. Because it allows an unbiased identification of brain sites contributing to a behavioral effect (or experimental condition) at the level of single subject, this approach could be usefully applied to assess the neural correlates of other complex cognitive functions in patients implanted with multiple electrodes.