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Inpatient virtual shared medical appointments to improve health literacy, increase patient self-efficacy, and reduce provider burnout in acute cerebrovascular pathology patients and their caregivers: a pilot study
CONCLUSIONS: Implementation of a vSMA program at a tertiary care center during a pandemic was feasible. Themes caregivers expressed on the postsession survey included better understanding of caring for a stroke patient and coping with the unpredictability of a patient's prognosis. The pandemic has precipitated shifts toward telehealth, but this study highlights the importance of avoiding marginalization of elderly and less technologically inclined populations.PMID:35921191 | DOI:10.3171/2022.4.FOCUS21764
Source: Neurosurgical Focus - August 3, 2022 Category: Neurosurgery Authors: Uma V Mahajan Neha Sharma Marquis Maynard Lei Kang Collin M Labak Alankrita Raghavan Martha Sajatovic Alan Hoffer Berje H Shammassian James M Wright Xiaofei Zhou Christina Huang Wright Source Type: research

Brain and Lung Imaging Correlation in Patients with COVID-19: Could the Severity of Lung Disease Reflect the Prevalence of Acute Abnormalities on Neuroimaging? A Global Multicenter Observational Study ADULT BRAIN
CONCLUSIONS: The CT lung disease severity score may be predictive of acute abnormalities on neuroimaging in patients with COVID-19 with neurologic manifestations. This can be used as a predictive tool in patient management to improve clinical outcome.
Source: American Journal of Neuroradiology - June 10, 2021 Category: Radiology Authors: Mahammedi, A., Ramos, A., Bargallo, N., Gaskill, M., Kapur, S., Saba, L., Carrete, H., Sengupta, S., Salvador, E., Hilario, A., Revilla, Y., Sanchez, M., Perez-Nunez, M., Bachir, S., Zhang, B., Oleaga, L., Sergio, J., Koren, L., Martin-Medina, P., Wang, L Tags: ADULT BRAIN Source Type: research

Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).
Conclusion: Our preliminary results suggested a probability of the DL-based prediction models for stroke occurrence only by meteorological and calendar factors. In the future, by synchronizing a variety of medical information among the electronic medical records and personal smartphones as well as integrating the physical activities or meteorological conditions in real time, the prediction of stroke occurrence could be performed with high accuracy, to save medical resources, to have patients care for themselves, and to perform efficient medicine. PMID: 33598347 [PubMed]
Source: Surgical Neurology International - February 21, 2021 Category: Neurosurgery Tags: Surg Neurol Int Source Type: research

Predictors of deep-vein thrombosis in subarachnoid hemorrhage: a retrospective analysis
ConclusionElevated d-dimer level at the time of hospitalization, motor deficit, and the presence of an intraparenchymal hemorrhage are independent risk factors for deep-vein thrombosis. Patients with DVT also had a significantly longer hospital stay. Even though further studies are needed, patients with elevated d-dimer at hospitalization and intraparenchymal cerebral hemorrhage may benefit from a more aggressive screening strategy for deep-vein thrombosis.
Source: Acta Neurochirurgica - August 13, 2020 Category: Neurosurgery Source Type: research

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