MoniCardi’s Post

🚨 Breakthrough in Heart Failure Treatment: Heart Muscle Regeneration 💖 Researchers at the University of Arizona have made an exciting discovery—artificial hearts can potentially trigger heart muscle regeneration. Published in Circulation, the study shows that these devices allow the heart to "rest," similar to healing after a muscle injury, enabling regeneration in some patients. 🔬 Key Findings: Patients with artificial hearts regenerate muscle cells at 6x the rate of healthy hearts. This reinforces the potential for the heart to regenerate, challenging long-held beliefs. Could lead to revolutionary treatments for 7M+ Americans affected by heart failure.

The NHS will trial an ultrasound-based brain-computer interface placed under the skull to influence brain activity. Backed by £6.5 million from the UK’s Advanced Research + Invention Agency (ARIA) (Aria), the three-year trial will involve 30 patients and test a device developed by U.S.-based nonprofit Forest Neurotech. The Forest 1 device uses ultrasound to monitor and influence brain activity. It will be tested on patients who’ve had part of their skull temporarily removed. The implant will be placed over the skull defect for two hours to assess its safety and effects on mood and motivation. Initial approval will take eight months, with a larger trial for conditions like depression planned next. Aria describes Forest 1 as the world’s most advanced BCI, capable of targeting multiple brain regions simultaneously. The technology could potentially help those with conditions like depression, anxiety, and epilepsy. #UK #NHS #UltrasoundTech #BrainHealth #MentalHealth #Anxiety #MedicalResearch #Science #NeuroTech #medicine #ClinicalTrials NHS England NHS Blood and Transplant

I found this article from Mayo Clinic very insightful. The research findings indicating a correlation between prolonged bed rest and cardiovascular and neuromuscular deconditioning are quite significant. Dr. Scarisbrick's summary explains how elevated levels of serum markers linked to neural injury and inflammation are associated with declines in neural reflex control. This, in turn, contributes to cardiovascular and postural deconditioning, especially in older adults. Understanding these mechanisms helps us better comprehend the effects of bed rest on both cardiovascular health and neurodegeneration, particularly in older adults. This new perspective opens up opportunities for developing improved exercise and biotherapeutic interventions. As physiotherapists, it underscores the importance of tailored rehabilitation programs aimed at cardiovascular function, maintaining neural reflex control, and preventing the adverse effects of bed rest on overall health and well-being. Did any healthcare professionals, encountered the effects of prolonged bed rest in your patients? Read the full article here: https://lnkd.in/gEriXMvB #Physiotherapy #CardiovascularHealth #NeuromuscularDeconditioning #BedRestEffects #MayoClinic #HealthResearch #insights

#Doctors (and #CMS #Medicare) often overlook the familiar "General Deconditioning" diagnosis (ICD-10 R53.81) as prosaic and diagnostically pedestrian. However, we have compelling data that "deconditioning" is likely a symptom that reflects a larger scale physiological process happening on a multi-system level. Check out this illuminating article articulating the science behind getting weak, and how #exercise can help these symptoms. Can we as #physiatrists help change to perception of #deconditioning? #NationalRehabAwarenessWeek https://lnkd.in/gbuASsvp "In this pilot study, we examined levels of several inflammatory and neurodegenerative markers to assess their relationship with neural deficits in cardiac and muscle-pump baroreflexes, and with physical and physiological declines commonly associated with bed rest," explains Dr. Scarisbrick. "We also explored whether 60 to 75 minutes of daily exercise can reduce bed rest-induced cardiovascular and skeletal muscle deconditioning."

The NHS will trial an ultrasound-based brain-computer interface placed under the skull to influence brain activity. Backed by £6.5 million from the UK’s Advanced Research and Invention Agency (Aria), the three-year trial will involve 30 patients and test a device developed by U.S.-based nonprofit Forest Neurotech. The Forest 1 device uses ultrasound to monitor and influence brain activity. It will be tested on patients who’ve had part of their skull temporarily removed. The implant will be placed over the skull defect for two hours to assess its safety and effects on mood and motivation. Initial approval will take eight months, with a larger trial for conditions like depression planned next. Aria describes Forest 1 as the world’s most advanced BCI, capable of targeting multiple brain regions simultaneously. The technology could potentially help those with conditions like depression, anxiety, and epilepsy. #UK #NHS #UltrasoundTech #BrainHealth #MentalHealth #Anxiety #MedicalResearch #Science #NeuroTech #medicine #ClinicalTrials

September scientific article now available to download: Title: Education and training of the radiography workforce when caring for people living with dementia Author(s): Dr Rob Higgins, Dr Adam Spacey, Professor Anthea Innes Hospital: University of Salford; McMaster University, Canada As the population ages, the prevalence of dementia continues to rise. Dementia is an umbrella term for several diseases affecting memory, cognitive abilities, mood and behaviour changes that interfere significantly with a person’s ability to maintain their activities of daily living. Although age is the strongest known risk factor for dementia, it is not a normal part of ageing and worldwide approximately 55 million people are living with dementia (PLWD), and its prevalence is increasing internationally. Radiography plays a vital role in diagnosing and monitoring the progression of dementia. Neuroimaging techniques such as CT and MRI can be used to detect structural changes in the brain that may indicate dementia. Nuclear medicine brain perfusion imaging, using dopamine active transporter (DAT) or fluorodeoxyglucose-PET (FDG-PET) scans can reveal patterns of brain activity that may suggest dementia. https://lnkd.in/eRfXNZwr #RADMagazine #medicalimaging #healthcare #medical #radiology #dementia #PET

Want to hear about a 15-month observational study using subcutaneous EEG to monitor #Seizures in patients with #Epilepsy? 🤔🧠 Watch our interview with Pedro Viana, MD, PhD(c), King's College London 🎥 The study revealed that the device recorded significantly more #seizures than patient-reported diaries, highlighting the potential of more objective seizure detection. Dr Viana emphasizes the need for larger studies to validate these findings, highlighting an ongoing multicenter trial in the UK involving 33 patients 💡 Learn more 👉 https://ow.ly/xOxF50TXoWk #EEC2024 #Neurologynews #CTSM

Description: Cardiac sarcoidosis is a rare inflammatory disease that affects the heart. It can lead to arrhythmias, heart failure, and sudden cardiac death. Imaging Technique: A combined PET-CT scan has shown success in detecting cardiac sarcoidosis. Researchers at the University of Illinois at Chicago (UIC) developed a new technique that incorporates a 72-hour high-fat, low-sugar diet before images are taken. This approach improves accuracy in diagnosing cardiac sarcoidosis, which is often unpredictable and difficult to detect using standard protocols. Treatment: Treatment involves immunosuppressive medications, antiarrhythmics, and close monitoring. Harvard Medical School Harvard Public Health magazine Stanford University School of Medicine Apollo Hospitals Indian Radiological & Imaging Association #Radiology #DiagnosticRadiology #InterventionalRadiology #NuclearMedicine #PETCT #CTscan #HealthcareInnovation

A new study from Greta K. Wood, Brendan F. Sargent, Zain-Ul-Abideen Ahmad, et al. reveals that "12-18 months after hospitalization for #COVID19, patients show significant cognitive decline comparable to 20 years of aging. MRI scans and blood tests also show brain injury markers and reduced brain volume in these patients. The findings suggest that COVID-19 has lasting effects on brain health, even in those without neurological complications." "It is important to emphasize that these were patients who had experienced #COVID requiring hospitalization and these results shouldn’t be too widely generalized to all people with lived experience of COVID." Learn More in Nature Medicine | Nature Portfolio https://lnkd.in/gf8MvNFv Post-hospitalisation COVID-19 cognitive deficits at one year are global and associated with elevated brain injury markers and grey matter volume reduction - Greta Wood, Brendan Sargent, Zain-Ul-Abideen Ahmad, COVID-CNS Consortium, Benedict D. Michael, Stella-Maria Paddick, E. Charles Leek, et al. University of Liverpool King's College London University of Cambridge COVID-CNS Consortium Neuroscience News https://lnkd.in/gsMV3Qc8

Prediction of left ventricle ejection fraction from HRV in diabetics and cardiac diseased subjects: A mathematical model approach https://lnkd.in/gTN7qnCi Heart Rate variability (HRV) is the variation between beat-to-beat intervals in a consecutive heartbeat. HRV provides enormous information about cardiac health. Electrocardiogram and echocardiography (2D echo) are the two major techniques used by medical practitioners to diagnose cardiac health. The 2D echo provides more accurate results as compared to electrocardiography but costs ten times more. This research provides low-cost solution for cardiac health diagnosis to the level of 2D echo derived from the electrocardiogram. ECG and the 2D echo data of the same cohort are collected from 15 diabetics and 15 cardiac-diseased subjects. In this research, we found a correlation between significant HRV parameters and 2D Echo parameters. Maximum correlation is obtained between LF/HF (low-frequency power to high-frequency power ratio), the HRV parameter, and LVEF (left ventricle ejection fraction), the 2D echo parameter. We derived various mathematical models, to predict the LVEF, from LF/HF for both cardiac diseased and diabetics separately. The combined best-fit model is obtained using nonlinear regression with the goodness of fit, R2 = 94.54 %. #Left ventricle ejection fraction #Heart rate variability #Autonomous nervous system #Cardiac health #Diabetes #technology #research #innovation