med-mastodon.com is one of the many independent Mastodon servers you can use to participate in the fediverse.
Medical community on Mastodon

Administered by:

Server stats:

343
active users

#SarsCoV2

43 posts26 participants0 posts today
Replied in thread

Too bad the main body of sciencedirect.com/science/arti is paywalled. The intro gives a great overview of the current state of knowledge around Long COVID neuropathy:

Specifically neuropsychiatric sequelae appear to be often reported by individuals recovering from COVID-19, with about a third of patients presenting fatigue, brain fog and sleep disturbances, and about one fourth anxiety and depression (Premraj et al., 2022); of particular interest, the prevalence of such symptoms appears to increase when investigating long (beyond 6 months) rather than short term consequences of the infection (Premraj et al., 2022).

Significant longitudinal effects were identified in a large UK Biobank sample by comparing brain MRI scans acquired before and after SARS-CoV-2 infection. The study reported a substantial reduction in cortical thickness, specifically in the orbitofrontal cortex and the parahippocampal gyrus. Additionally, widespread alterations in white matter microstructure were observed, with decreased integrity in tracts involving the orbitofrontal cortex, anterior cingulate cortex, insular regions, and the amygdala (Douaud et al., 2022).

Magnetic resonance imaging studies in patients from 2 to 4 months after infection compared to healthy controls (HC) have shown, independently of illness severity, changes in WM microstructure, especially in the frontal and limbic systems (Qin et al., 2021, Silva et al., 2021), and in functional connectivity, in particular in the visuospatial network (Silva et al., 2021). Similarly, a reduction in fiber density has been reported in association, projection, and commissural tracts (Bispo et al., 2022). Further, recent longitudinal studies showed that WM alterations persist up to 2 years after the infection (Huang et al., 2022, Huang et al., 2023), suggesting that long term consequences of COVID-19 could be associated with long-lasting changes in brain structure.

via @Brad

"The results showed the significant productivity loss caused by missed workdays due to #longCOVID, providing an economic justification for policymakers and employers to provide support systems for long #COVID patients to return to work."

journals.plos.org/plosone/arti

Image from latest Science for ME weekly update

@longcovid
#PASC #PwLC #postcovid #postcovid19 #LC #Covidlonghaulers #PostCovidSyndrome #longhaulers #COVIDBrain #NeuroPASC
@covid19 #Coronavirus
#COVID19 #COVID_19 #COVIDー19 #SARSCoV2

Postacute Sequelae of COVID-19 Across 12 Major Health Domains and 141 Diseases in Individuals With Mental Illness Among COVID-19 Survivors: A Population-Based Cohort Study in South Korea

doi.org/10.1002/jmv.70406

Image is from the latest Science for ME weekly update

@longcovid
#LongCovid #PASC #PwLC #postcovid #postcovid19 #LC #Covidlonghaulers #PostCovidSyndrome #longhaulers #COVIDBrain #NeuroPASC

@covid19 #Coronavirus
#COVID19 #COVID #COVID_19 #COVIDー19 #SARSCoV2

Florida, USA

People who had COVID at anytime & recovered (no persistent symptoms that started with acute #COVID) are sought for $4m CDC-funded study. These ME/CFS-aware researchers want to compare #longCovid to ME/CFS but need controls

Survey link:
redcap.nova.edu/redcap/surveys.

Please share widely

#MEcfs @mecfs @longcovid #PASC #PwLC #postcovid #postcovid19 #LC #PostCovidSyndrome #COVIDBrain #NeuroPASC @covid19 #Coronavirus #COVID19 #COVID #COVIDー19 #SARSCoV2 @novid@chirp.social #novid @novid@a.gup.pe #CovidIsNotOver

UPDATED: #BC #SARSCoV2 variants.

Of 71 samples from 5/11 - 5/19 (vs. 39, 5/4 - 5/10):
NB.1.8.1.* (incl. PQ.*): 32.4% (⬆️ 15.4%)
XEC.*: 4.2% (⬇️ 12.8%)
LP.8.1.1.* (incl. NY.*): 43.7% (⬇️ 56.4%)

ratnegative.tumblr.com/BCVaria #COVID19

----------

Of the samples collected in B.C. on these weeks, the prevalence of significant variants/lineages are as follows:

- 5/11 - 5/19 -
• NB.1.8.1.* (incl. PQ.1, ".2, ".5, ".6, ".8, ".15): 32.4%
• XEC.* (incl. XEC.2, ".4.1.1): 4.2%
• LP.8.1.1.* (incl. NY.2, ".3, ".9, ".13): 43.7%
→ NY.3: 15.5%

- 5/4 - 5/10 -
• NB.1.8.1.* (incl. PQ.1, ".2): 15.4%
→ PQ.1: 5.1%
• XEC.* (incl. XEC.4.*, ".15): 12.8%
• LP.8.1.1.* (incl. NY.3, ".9): 56.4%

X.X.* in text = X.X & descendants.

X.X.* in graph = all descendants of X.X, except for ones that have their own segment of the week’s bar. Please see "Notes on Usage" section.