Cerebral venous thrombosis secondary to essential thrombocythemia

INTRODUCTION: Essential thrombocythemia (ET) is a myeloproliferative syndrome; cerebral venous thrombosis (CVT) is a rare complication. OBSERVATION: We report the case of a 20-year-old woman with an uneventful history who was admitted with intracranial hypertension syndrome which had developed over the last four months in association with bilateral decline of visual acuity. Physical examination at admission revealed stage II papilloedema and absence of any focal neurological signs. The brain MRI and the venous MRA showed a thrombosis involving the superior longitudinal sinus and the lateral sinus. The etiological analysis disclosed essential thrombocythemia (ET). The patient was given an antiedema and anticoagulant treatment. Later, an etiological cytoreductive therapy was initiated. Signs of intracranial hypertension regressed progressively with persistence of acute visual disorders associated with sequelar optical atrophy. Discussion. ET is a rare cause of CVT. Reports in the literature have discussed the mechanisms, the physiology, the therapeutic modalities and the clinical course of these CVTs secondarily to ET. CONCLUSION: Stroke, especially transient ischemic attack, is the usual thrombotic expression of myeloproliferative syndrome. CVT is much more exceptional.     

What Research Questions Should the Next Generation of Birth Cohort Studies Address? An International Delphi Study of Experts

ObjectiveBirth cohort studies (BCS) have generated a wealth of invaluable basic scientific and policy-relevant information on a wide range of issues in child health and development. This study sought to explore what research questions are currently a priority for the next generation of BCS using a 3-round Delphi survey of interdisciplinary experts.MethodsTwenty-four (Round I, N = 17; Round II, N = 21; Round III, N = 18) experts across a wide range of fields (eg, psychology, public health, and maternal/child health) agreed to participate. In Round I, the expert panel was invited to freely respond to the question, “what are the key scientific questions future birth cohort studies should address?” Content analysis of answers was used to identify 47 questions for rating on perceived importance by the panel in Round II and consensus-achieving questions were identified. Questions that did not reach consensus in Round II were posed again for expert re-rating in Round III.ResultsTwenty six of 47 questions reached consensus in Round II, with an additional 6 reaching consensus in Round III. Consensus-achieving questions rated highly on importance spanned a number of topics, including environmental effects on child development, intergenerational transmission of disadvantage, and designing BCS to inform intervention strategies.ConclusionInvestigating the effects of family/environmental factors and social disadvantage on a child's development should be prioritized in designing future BCS. The panel also recommended that future BCS are designed to inform intervention strategies.     

Using cognitive-behavioural techniques to improve exclusive breastfeeding in a low-literacy disadvantaged population

Despite being an important component of Pakistan's primary health care programme, the rates of exclusive breastfeeding at 6 months remain among the lowest in the world. Low levels of literacy in women and deeply held cultural beliefs and practices have been found to contribute to the ineffectiveness of routine counselling delivered universally by community health workers in Pakistan. We aimed to address this by incorporating techniques of cognitive-behavioural therapy (CBT) into the routine counselling process. We conducted qualitative studies of stakeholders' opinions (mothers, community health workers, their trainers and programme managers) and used this data to develop a psycho-educational approach that combined education with techniques of CBT that could be integrated into the health workers' routine work. The workers were trained to use this approach and feedback was obtained after implementation. The new intervention was successfully integrated into the community health worker programme and found to be culturally acceptable, feasible and useful. Incorporating techniques of CBT into routine counselling may be useful to promote health behaviours in traditional societies with low literacy rates.     

Prediction of survival with multi-scale radiomic analysis in glioblastoma patients

We propose a multiscale texture features based on Laplacian-of Gaussian (LoG) filter to predict progression free (PFS) and overall survival (OS) in patients newly diagnosed with glioblastoma (GBM). Experiments use the extracted features derived from 40 patients of GBM with T1-weighted imaging (T1-WI) and Fluid-attenuated inversion recovery (FLAIR) images that were segmented manually into areas of active tumor, necrosis, and edema. Multiscale texture features were extracted locally from each of these areas of interest using a LoG filter and the relation between features to OS and PFS was investigated using univariate (i.e., Spearman’s rank correlation coefficient, log-rank test and Kaplan-Meier estimator) and multivariate analyses (i.e., Random Forest classifier). Three and seven features were statistically correlated with PFS and OS, respectively, with absolute correlation values between 0.32 and 0.36 and p?<?0.05. Three features derived from active tumor regions only were associated with OS (p?<?0.05) with hazard ratios (HR) of 2.9, 3, and 3.24, respectively. Combined features showed an AUC value of 85.37 and 85.54% for predicting the PFS and OS of GBM patients, respectively, using the random forest (RF) classifier. We presented a multiscale texture features to characterize the GBM regions and predict he PFS and OS. The efficiency achievable suggests that this technique can be developed into a GBM MR analysis system suitable for clinical use after a thorough validation involving more patients.

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Graphical abstract Scheme of the proposed model for characterizing the heterogeneity of GBM regions and predicting the overall survival and progression free survival of GBM patients. (1) Acquisition of pretreatment MRI images; (2) Affine registration of T1-WI image with its corresponding FLAIR images, and GBM subtype (phenotypes) labelling; (3) Extraction of nine texture features from the three texture scales fine, medium, and coarse derived from each of GBM regions; (4) Comparing heterogeneity between GBM regions by ANOVA test; Survival analysis using Univariate (Spearman rank correlation between features and survival (i.e., PFS and OS) based on each of the GBM regions, Kaplan-Meier estimator and log-rank test to predict the PFS and OS of patient groups that grouped based on median of feature), and multivariate (random forest model) for predicting the PFS and OS of patients groups that grouped based on median of PFS and OS.