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  • Duke posted an update 7 months, 1 week ago

    MPs are potentially a cause of medication-overuse headache, and not to be seen as innocent in this regard. Numbers presumptively affected in Nepal are low but not negligible. This pioneering project provides a starting point for further research to provide needed guidance on use of medicinal plants for headache.

    MPs are potentially a cause of medication-overuse headache, and not to be seen as innocent in this regard. Numbers presumptively affected in Nepal are low but not negligible. This pioneering project provides a starting point for further research to provide needed guidance on use of medicinal plants for headache.

    Persistent migraine with aura and neuroimaging examinations revealing ischaemia in the contralateral cortex may be associated with migrainous infarction. Despite being a neurological symptom that is distinct from migraine with aura, the visual snow phenomenon may also be associated with cerebral ischaemia. Here we describe a patient who reported short-lasting daily symptoms of visual snow that affected his entire visual field before becoming continuous and left-sided following acute occipital brain ischaemia.

    In February 2017, a 74-year-old retired male was referred to our headache outpatient clinic with a diagnosis of recent right occipital cerebral ischaemia and migraine with aura. The patient reported visual snow symptoms that had changed from being bilateral and temporary to left-sided and permanent one day upon awakening; after being admitted to hospital a few hours later, he discovered he had had a stroke. selleckchem He said he had never had any symptoms of migraine with aura. The visual snow phenomenon disappl snow. Since the mechanism may be the same as that observed in migrainous infarction, though with a different pathophysiology, it is possible to speculate that the aura in this case is the result, as opposed to the cause, of stroke in most patients.

    We assessed the clinical utility and accuracy of real-time continuous glucose monitoring (rtCGM) (Dexcom G6) in managing diabetes patients with severe COVID-19 infection following admission to the intensive care unit (ICU).

    We present retrospective analysis of masked rtCGM in 30 patients with severe COVID-19. rtCGM was used during the first 24 hours for comparison with arterial-line point of care (POC) values, where clinicians utilized rtCGM data to adjust insulin therapy in patients if rtCGM values were within 20% of point-of-care (POC) values during the masked period. An investigator-developed survey was administered to assess nursing staff (

    = 66) perceptions regarding the use of rtCGM in the ICU.

    rtCGM data were used to adjust insulin therapy in 30 patients. Discordance between rtCGM and POC glucose values were observed in 11 patients but the differences were not considered clinically significant. Mean sensor glucose decreased from 235.7 ± 42.1 mg/dL (13.1 ± 2.1 mmol/L) to 202.7 ± 37.6 mg/dL (11.1 ± 2.1 mmol/L) with rtCGM management. Improvements in mean sensor glucose were observed in 77% of patients (

    = 23) with concomitant reductions in daily POC measurements in 50% of patients (

    = 15) with rtCGM management. The majority (63%) of nurses reported that rtCGM was helpful for improving care for patients with diabetes patients during the COVID-19 pandemic, and 49% indicated that rtCGM reduced their use of personal protective equipment (PPE).

    Our findings provide a strong rationale to increase clinician awareness for the adoption and implementation of rtCGM systems in the ICU. Additional studies are needed to further understand the utility of rtCGM in critically ill patients and other clinical care settings.

    Our findings provide a strong rationale to increase clinician awareness for the adoption and implementation of rtCGM systems in the ICU. Additional studies are needed to further understand the utility of rtCGM in critically ill patients and other clinical care settings.With the first commercially available smart insulin pens, the predominant insulin delivery device for millions of people living with diabetes is now coming into the digital age. Smart insulin pens (SIPs) have the potential to reshape a connected diabetes care ecosystem for patients, providers, and health systems. Existing SIPs are enhanced with real-time wireless connectivity, digital dose capture, and integration with personalized dosing decision support. Automatic dose capture can promote effective retrospective review of insulin dose data, particularly when paired with glucose data. Patients, providers, and diabetes care teams will be able to make increasingly data-driven decisions and recommendations, in real time, during scheduled visits, and in a more continuous, asynchronous care model. As SIPs continue to progress along the path of digital transformation, we can expect additional benefits iteratively improving software, machine learning, and advanced decision support. Both these technological advances, and future care delivery models with asynchronous interactions, will depend on easy, open, and continuous data exchange between the growing number of diabetes devices. SIPs have a key role in modernizing diabetes care for a large population of people living with diabetes.

    To evaluate the efficacy of Enhanced Depth Imaging Optical Coherence Tomography (EDI-OCT) in differentiating between optic nerve head drusen (ONHD) and optic disc oedema (ODE).

    This was a cross-sectional study of 140 patients 83 patients with ONHD (49 hidden and 34 visible), 20 patients with pseudopapilloedema (without drusen), and 37 patients with ODE. EDI-OCT of the optic nerve was performed, selecting one high-resolution line from the HD 5-line raster protocol. Two observers blindly evaluated the presence of a hyporeflective core surrounded by a hyperreflective margin or border. The sensitivity, specificity, predictive values and posttest probability were evaluated as well as the inter-observer agreement (k).

    EDI-OCT demonstrated a sensitivity of 92% (95% CI 83%-96%), a specificity of 96% (95% CI 87%-99%), with a positive predictive value of 97% and a negative predictive value of 89%. The inter-observer agreement was as remarkable as

     = 0.8985 (95% CI 0.8252-0.9718). A positive EDI OCT increases the posttest probability to 97% (95% CI 91%-99%); when negative, the posttest probability is reduced to 12% (95% CI 6%-21%).

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