Precision symptom phenotyping identifies early clinical and proteomic predictors of distinct COVID-19 sequelae DOI Creative Commons
Nusrat J Epsi, Josh Chenoweth, Paul W. Blair

et al.

The Journal of Infectious Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: June 25, 2024

Abstract Background Post-COVID conditions (PCC) are difficult to characterize, diagnose, predict, and treat due overlapping symptoms poorly understood pathology. Identifying inflammatory profiles may improve clinical prognostication trial endpoints. Methods This analysis included 1988 SARS-CoV-2 positive U.S. Military Health System beneficiaries who had quantitative post–COVID symptom scores. Among participants reported moderate-to-severe on surveys collected 6 months post-SARS-CoV-2 infection, principal component followed by k-means clustering identified distinct clusters of symptoms. Results Three symptom-based were identified: a sensory cluster (loss smell and/or taste), fatigue/difficulty thinking cluster, difficulty breathing/exercise intolerance cluster. Individuals within the all outpatients during their initial COVID-19 presentation. The breathing higher likelihood obesity hospitalization than those with no/mild at post-infection. Multinomial regression linked early post-infection D-dimer IL-1RA elevation elevated ICAM-1 concentrations Conclusions We three PCC phenotypes specific risk factors predictors. With further validation characterization, this framework allow more precise classification cases potentially diagnosis, prognostication, treatment PCC.

Language: Английский

mTORC1 syndrome (TorS): unifying paradigm for PASC, ME/CFS and PAIS DOI Creative Commons
Jacob Bar‐Tana

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: March 9, 2025

Post-acute SarS-Cov2 (PASC), Myalgia encephalomyelitis/Chronic fatigue syndrome (ME/CFS) and infection (PAIS) consist of chronic post–acute infectious syndromes, sharing exhaustive fatigue, post exertional malaise, intermittent pain, postural tachycardia neuro-cognitive-psychiatric dysfunction. However, the concerned shared pathophysiology is still unresolved in terms upstream drivers transducers. Also, risk factors which may determine vulnerability/progression to phase remain be defined. In lack a cohesive pathophysiology, syndromes unmet therapeutic needs. 'mTORC1 Syndrome' (TorS) implies an disease entity driven by sustained hyper-activation mammalian target rapamycin C1 (mTORC1), resulting variety aspects Metabolic Syndrome (MetS), non-alcoholic fatty liver disease, obstructive pulmonary some cancers, neurodegeneration other [Bar-Tana Trends Endocrinol Metab 34:135–145, 2023]. TorS offer insight PASC, ME/CFS PAIS drivers, vulnerability treatment options.

Language: Английский

Citations

0
Neuropsychiatric Manifestations of Long COVID-19: A Narrative Review of Clinical Aspects and Therapeutic Approaches DOI Creative Commons
Olga Adriana Căliman-Sturdza, Roxana Gheorghiţă, Andrei Lobiuc

et al.

Life, Journal Year: 2025, Volume and Issue: 15(3), P. 439 - 439

Published: March 11, 2025

The COVID-19 (C-19) pandemic has highlighted the significance of understanding long-term effects this disease on quality life those infected. Long (L-C19) presents as persistent symptoms that continue beyond main illness period, usually lasting weeks to years. One lesser-known but significant aspects L-C19 is its impact neuropsychiatric manifestations, which can have a profound effect an individual’s life. Research shows creates issues such mental fog, emotional problems, and brain symptoms, along with sleep changes, extreme fatigue, severe head pain, tremors seizures, pain in nerves. People cognitive problems plus fatigue mood disorders experience great difficulty handling everyday activities, personal hygiene, social interactions. Neuropsychiatric make people withdraw from activity hurt relationships, thus causing feelings loneliness. unpredictable state generates heavy psychological pressure through suffering, including depression anxiety. changes impairment, swings it hard for work or study effectively, decreases their output at school lowers job contentment. purpose narrative review summarize clinical data present literature regarding manifestations L-C19, identify current methods diagnosis treatment lead correct management condition, highlight these patients’

Language: Английский

Citations

0
Challenging the current hypothesis that thrombosis is responsible for the post-COVID-19 condition DOI Creative Commons
Beverley J. Hunt, Rebecca Kuehn, Tilly Fox

et al.

Research and Practice in Thrombosis and Haemostasis, Journal Year: 2024, Volume and Issue: 8(4), P. 102442 - 102442

Published: May 1, 2024

People with the post-COVID-19 condition suffer symptoms that persist beyond 12 weeks following acute COVID-19 infection. Fatigue, shortness of breath, and cognitive dysfunction ("brain fog") are common. Scientists, clinicians, patients debate pathophysiology. One pathophysiological hypothesis is prothrombotic changes associated persist, causing clots lead to symptoms. This theory, arising from a research team in South Africa supported by paper Nature Medicine, has been widely disseminated on social media entered public narrative as cause condition.We describe development this examine findings Cochrane review critically appraises "microclot" beliefs, appraise influential study relating clotting biomarkers deficits. We conclude inferences for not based evidence, unlicensed use antithrombotic medication justified, apheresis should be considered outside well-designed clinical trial.

Language: Английский

Citations

3
Subjective brain fog: a four-dimensional characterization in 25,796 participants DOI Creative Commons
Ali Alim‐Marvasti, Matteo Ciocca, Narayan Kuleindiren

et al.

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: June 6, 2024

Importance Brain fog is associated with significant morbidity and reduced productivity gained increasing attention after COVID-19. However, this subjective state has not been systematically characterised. Objective To characterise self-reported brain fog. Design We studied the cross-sectional associations between 29 a priori variables presence of “brain fog.” The were grouped into four categories: demographics, symptoms functional impairments, comorbidities potential risk factors (including lifestyle factors), cognitive score. Univariate methods determined correlates fog, long-COVID non-long-COVID subgroups. XGBoost machine learning model retrospectively characterised Bonferroni-corrected statistical significance was set at 5%. Setting Digital application for remote data collection. Participants 25,796 individuals over age 18 who downloaded completed application. Results 7,280 (28.2%) reported experiencing generally older (mean 35.7 ± 11.9 years vs. 32.8 11.6 years, p < 0.0001) more likely to be female (OR = 1.2, 0.001). Associated impairments included d ifficulty focusing or concentrating 3.3), feeling irritable 1.6), difficulty relaxing all 0.0001), following conversations 2.2), remembering appointments 1.9), completing paperwork performing mental arithmetic (ORs 1.8, 0.0001). Comorbidities long-COVID-19 3.8, concussions 2.4, higher migraine disability assessment scores (MIDAS) (+34.1%, Cognitive marginally lower (−0.1 std., achieved training accuracy 85% cross-validated 74%, features most predictive in conversations, long-COVID, severity migraines. Conclusions relevance This largest study characterising as an impairment concentration activities daily living. particularly history long-COVID-19, migraines, concussion, 0.1 standard deviations scores, especially on modified Stroop testing, suggesting ability inhibit interference. Further prospective studies unselected sufferers should explore full spectrum differentiate it from its conditions.

Language: Английский

Citations

3
Precision symptom phenotyping identifies early clinical and proteomic predictors of distinct COVID-19 sequelae DOI Creative Commons
Nusrat J Epsi, Josh Chenoweth, Paul W. Blair

et al.

The Journal of Infectious Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: June 25, 2024

Abstract Background Post-COVID conditions (PCC) are difficult to characterize, diagnose, predict, and treat due overlapping symptoms poorly understood pathology. Identifying inflammatory profiles may improve clinical prognostication trial endpoints. Methods This analysis included 1988 SARS-CoV-2 positive U.S. Military Health System beneficiaries who had quantitative post–COVID symptom scores. Among participants reported moderate-to-severe on surveys collected 6 months post-SARS-CoV-2 infection, principal component followed by k-means clustering identified distinct clusters of symptoms. Results Three symptom-based were identified: a sensory cluster (loss smell and/or taste), fatigue/difficulty thinking cluster, difficulty breathing/exercise intolerance cluster. Individuals within the all outpatients during their initial COVID-19 presentation. The breathing higher likelihood obesity hospitalization than those with no/mild at post-infection. Multinomial regression linked early post-infection D-dimer IL-1RA elevation elevated ICAM-1 concentrations Conclusions We three PCC phenotypes specific risk factors predictors. With further validation characterization, this framework allow more precise classification cases potentially diagnosis, prognostication, treatment PCC.

Language: Английский

Citations

2