1,046 research outputs found
An open-label, one-arm, dose-escalation study to evaluate safety and tolerability of extremely low frequency magnetic fields in acute ischemic stroke
Extremely low frequency magnetic fields (ELF-MF) could be an alternative neuroprotective approach for ischemic stroke because preclinical studies have demonstrated their effects on the mechanisms underlying ischemic damage. The purpose of this open-label, one arm, dose-escalation, exploratory study is to evaluate the safety and tolerability of ELF-MF in patients with acute ischemic stroke. Within 48 hours from the stroke onset, patients started ELF-MF treatment, daily for 5 consecutive days. Clinical follow-up lasted 12 months. Brain MRI was performed before and 1 month after the treatment. The distribution of ELF-MF in the ischemic lesion was estimated by dosimetry. Six patients were stimulated, three for 45 min/day and three for 120 min/day. None of them reported adverse events. Clinical conditions improved in all the patients. Lesion size was reduced in one patient stimulated for 45 minutes and in all the patients stimulated for 120 minutes. Magnetic field intensity within the ischemic lesion was above 1 mT, the minimum value able to trigger a biological effect in preclinical studies. Our pilot study demonstrates that ELF-MF are safe and tolerable in acute stroke patients. A prospective, randomized, placebo-controlled, double-blind study will clarify whether ELF-MFs could represent a potential therapeutic approach
Patient semi-specific computational modeling of electromagnetic stimulation applied to neuroprotective treatments in acute ischemic stroke
Neuroprotective effects of pulsed electromagnetic fields (PEMFs) have been demonstrated both in vivo and in vitro. Moreover, preliminary clinical studies have been conducted and suggested PEMFs as a possible alternative therapy to treat acute ischemic stroke. In this work, we show that it’s possible to build-up a patient semi-specific head model, where the 3D reconstruction of the ischemic lesion of the patient under treatment is inserted in the head of the human body model “Duke” (v.1.0, Zurich MedTech AG). The semi-specific model will be used in the randomized, placebo-controlled, double-blind study currently ongoing. Three patients were modelled and simulated, and results showed that each ischemic lesion experiences a magnetic flux density field comparable to the one for which biological effects have been attested. Such a kind of dosimetric analysis reveals a reliable tool to assess the correlation between levels of exposure and the beneficial effect. Thus, once the on-going double blind study is complete it will prove if PEMFs treatment triggers a clinical effect, and we will then be able to characterize a dose-response curve with the methodology arranged in this study
A deep Natural Language Inference predictor without language-specific training data
In this paper we present a technique of NLP to tackle the problem of
inference relation (NLI) between pairs of sentences in a target language of
choice without a language-specific training dataset. We exploit a generic
translation dataset, manually translated, along with two instances of the same
pre-trained model - the first to generate sentence embeddings for the source
language, and the second fine-tuned over the target language to mimic the
first. This technique is known as Knowledge Distillation. The model has been
evaluated over machine translated Stanford NLI test dataset, machine translated
Multi-Genre NLI test dataset, and manually translated RTE3-ITA test dataset. We
also test the proposed architecture over different tasks to empirically
demonstrate the generality of the NLI task. The model has been evaluated over
the native Italian ABSITA dataset, on the tasks of Sentiment Analysis,
Aspect-Based Sentiment Analysis, and Topic Recognition. We emphasise the
generality and exploitability of the Knowledge Distillation technique that
outperforms other methodologies based on machine translation, even though the
former was not directly trained on the data it was tested over.Comment: Conference: ICIAP202
An open-label, one-arm, dose-escalation study to evaluate safety and tolerability of extremely low frequency magnetic fields in acute ischemic stroke
Extremely low frequency magnetic fields (ELF-MF) could be an alternative neuroprotective approach for ischemic stroke because preclinical studies have demonstrated their effects on the mechanisms underlying ischemic damage. The purpose of this open-label, one arm, dose-escalation, exploratory study is to evaluate the safety and tolerability of ELF-MF in patients with acute ischemic stroke. Within 48 hours from the stroke onset, patients started ELF-MF treatment, daily for 5 consecutive days. Clinical follow-up lasted 12 months. Brain MRI was performed before and 1 month after the treatment. The distribution of ELF-MF in the ischemic lesion was estimated by dosimetry. Six patients were stimulated, three for 45 min/day and three for 120 min/day. None of them reported adverse events. Clinical conditions improved in all the patients. Lesion size was reduced in one patient stimulated for 45 minutes and in all the patients stimulated for 120 minutes. Magnetic field intensity within the ischemic lesion was above 1 mT, the minimum value able to trigger a biological effect in preclinical studies. Our pilot study demonstrates that ELF-MF are safe and tolerable in acute stroke patients. A prospective, randomized, placebo-controlled, double-blind study will clarify whether ELF-MFs could represent a potential therapeutic approach
An interdisciplinary research perspective for tackling Vertiport design and developmental challenges
322 Atrial morphological and functional parameters in hypertrophic cardiomyopathy: cardiovascular outcome implication
Abstract
Aims
The impact of atrial function measured by standard and advanced echocardiographic techniques is emerging in various clinical settings but remains poorly explored in patients with hypertrophic cardiomyopathy (HCM).
Methods and results
Consecutive patients with HCM referred to the heart failure outpatient clinic were prospectively enrolled. Complete clinical and echocardiographic evaluation was performed, including fully automated 2D speckle tracking analysis software (AutoStrain, TomTec). Atrial function was assessed by means of left atrial (LA) volume, LA diameter, a'-TDI, and global peak atrial longitudinal strain (PALS). The primary endpoint was a composite of cardiovascular (CV) events (cardiovascular death or hospitalization, new-onset atrial fibrillation, surgical myectomy, sustained ventricular tachycardia or ventricular fibrillation) during the follow-up. A total of 40 patients with confirmed HCM diagnoses and complete follow-up were included, mean age was 61 ± 14 years, 62% male, ejection fraction 64 ± 8%. LA was frequently enlarged (indexed LA volume 43 ± 14 ml/m2, LA diameter 39 ± 7 mm), and dysfunctional (a'-TDI 7.1 ± 2.2 cm/s, PALS 21 ± 7%). During a mean follow-up of 460 ± 300 days, seven patients had a CV event. Among LA parameters, septal a'-TDI seems to characterize patients with events the most (5.5 ± 2.1 vs. 7.5 ± 2.3, P = 0.03). This was confirmed in an age-adjusted survival model [HR: 0.62 (0.39–0.92), P = 0.03]. The spline curve in the Figure illustrates the relationship between a'-TDI and the age-adjusted probability of CV events; the association began at about 7 cm/s and increased steeply for lower values. Of note, the association between PALS and CV events was highly significant in younger patients (<70 years, P < 0.001).
Conclusions
According to our pilot study, a'-TDI can be considered a simple, feasible, and routinely available parameter of left atrial function, which can help to identify HCM patients at higher risk of CV events
appraisal of clinical complications after 23 827 oocyte retrievals in a large assisted reproductive technology program
Objective To assess complications encountered after transvaginal oocyte retrieval procedures. Design Retrospective analysis. Setting University hospital, fertility center. Patient(s) A total of 23,827 consecutive transvaginal oocyte retrieval procedures in 12,615 patients. Intervention(s) Oocyte retrieval procedures performed between June 1996 and October 2016. Main Outcome Measure(s) All oocyte retrieval complications. Those requiring hospital admission for at least 24 hours were considered severe. Result(s) A total of 96 patients (0.76 %) suffered complications, with hospital admission necessary for 71 patients (0.56 %). When calculated per retrieval, the overall complication rate was 0.4%, whereas 0.29% was the admission rate, with an average duration of hospital stay of 2.77 ± 2.5 days. A surgical procedure was necessary for 24 patients (0.1% per retrieval and 0.19% per patient). Multivariate analysis showed a significant correlation between complications and women age, body mass index (BMI), the number oocyte retrieved, and the mean time to complete oocyte retrieval. The incidence of complications was significantly higher for physicians who had performed 250 retrievals (odds ratio 0.63, 95% confidence interval 0.40–0.99). Conclusion(s) Oocyte retrieval can be considered a safe procedure but is not without risks. The most important, identifiable, risk factors for the occurrence of complications are: [1] high number of oocytes retrieved, [2] a long duration of the procedure and mean time per oocyte retrieved, [3] inexperience of the surgeon, [4] younger patients with a lesser BMI, and [5] history of prior abdominal or pelvic surgery or pelvic inflammatory disease. Clinical Trial Registration Number NCT03282279
Default and Control Networks Connectivity Dynamics Track the Stream of Affect at Multiple Timescales
In everyday life, the stream of affect results from the interaction between past experiences, expectations and the unfolding of events. How the brain represents the relationship between time and affect has been hardly explored, as it requires modeling the complexity of everyday life in the laboratory setting. Movies condense into hours a multitude of emotional responses, synchronized across subjects and characterized by temporal dynamics alike real-world experiences. Here, we use time-varying intersubject brain synchronization and real-time behavioral reports to test whether connectivity dynamics track changes in affect during movie watching. The results show that polarity and intensity of experiences relate to the connectivity of the default mode and control networks and converge in the right temporoparietal cortex. We validate these results in two experiments including four independent samples, two movies and alternative analysis workflows. Finally, we reveal chronotopic connectivity maps within the temporoparietal and prefrontal cortex, where adjacent areas preferentially encode affect at specific timescales
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