The prevalence of sensory changes in post-COVID syndrome: A systematic review and meta-analysis

Trott, Mike; Driscoll, Robin; Pardhan, Shahina

doi:10.3389/fmed.2022.980253

Cited by 27 publications

(30 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to World Health Organization, it is defined as a condition that usually occurs within 3 months from the onset of COVID‐19, lasts at least 2 months, and cannot be explained by an alternative diagnosis 2 . Fatigue is the most commonly reported symptom, although the post‐COVID‐19 syndrome can also affect sensory, neurological, cardiorespiratory systems, and mental health 3–6 . The global prevalence of this condition is substantial.…”

Section: Introductionmentioning

confidence: 99%

“…sensory, neurological, cardiorespiratory systems, and mental health. [3][4][5][6] The global prevalence of this condition is substantial. The meta-analysis of 41 studies estimated it at 43%, higher in patients requiring hospitalization due to COVID-19 (54%) than in nonhospitalized (34%), and more common in Asia (51%) and Europe (44%) compared to North America (31%).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Overview of autoantibodies in COVID‐19 convalescents

Dobrowolska

Zarębska-Michaluk

Siller‐Matula

et al. 2023

Journal of Medical Virology

View full text Add to dashboard Cite

Accumulating evidence shows that SARS‐CoV‐2 can potentially trigger autoimmune processes, which can be responsible for the long‐term consequences of COVID‐19. Therefore, this paper aims to review the autoantibodies reported in COVID‐19 convalescents. Six main groups were distinguished: (i) autoantibodies against components of the immune system, (ii) autoantibodies against components of the cardiovascular system, (iii) thyroid autoantibodies, (iv) autoantibodies specific for rheumatoid diseases, (v) antibodies against G‐protein coupled receptors, and (vi) other autoantibodies. The evidence reviewed here clearly highlights that SARS‐CoV‐2 infection may induce humoral autoimmune responses. However, the available studies share number of limitations, such as: (1) the sole presence of autoantibodies does not necessarily implicate the clinically‐relevant risks, (2) functional investigations were rarely performed and it is often unknown whether observed autoantibodies are pathogenic, (3) the control seroprevalence, in healthy, noninfected individuals was often not reported; thus it is sometimes unknown whether the detected autoantibodies are the result of SARS‐CoV‐2 infection or the accidental post‐COVID‐19 detection, (4) the presence of autoantibodies was rarely correlated with symptoms of the post‐COVID‐19 syndrome, (5) the size of the studied groups were often small, (6) the studies focused predominantly on adult populations, (7) age‐ and sex‐related differences in seroprevalence of autoantibodies were rarely explored, (8) genetic predispositions that may be involved in generation of autoantibodies during SARS‐CoV‐2 infections were not investigated, and (9) the autoimmune reactions following infection with SARS‐CoV‐2 variants that vary in the clinical course of infection remain unexplored. Further longitudinal studies are advocated to assess the link between identified autoantibodies and particular clinical outcomes in COVID‐19 convalescents.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Overview of autoantibodies in COVID‐19 convalescents

Dobrowolska

Zarębska-Michaluk

Siller‐Matula

et al. 2023

Journal of Medical Virology

View full text Add to dashboard Cite

show abstract

“…Of these, four (36%) systematic reviews compared prevalence between people who were or were not hospitalized and/or admitted to ICU with acute COVID-19, 44,46,48,51 and one reported on symptoms or complications in only people who were hospitalized with acute COVID-19. 47 The remaining 11 (50%) systematic reviews focused on specific symptoms or complications (Table 2): neuropsychological (k = 3 [53][54][55] ), cardiac events (k = 2 56,57 ), sensory (k = 1 58 ), pulmonary abnormalities (k = 1 59 ), breathlessness (k = 1 60 ), musculoskeletal pain (k = 1 61 ), headache (k = 1 62 ) or gastrointestinal/hepatic (k = 1 63 ). Of these, six compared prevalence according to acute COVID-19 disease severity and/or hospitalization or ICU status; 52,54,55,59,61,62 two systematic reviews included a control cohort.…”

Section: Review 1-long Covid Symptoms and Complications (Tts)mentioning

confidence: 99%

Treatable traits for long COVID

Lewthwaite,

Byrne,

Brew

et al. 2023

Respirology

View full text Add to dashboard Cite

Long COVID, or post‐acute COVID‐19 sequelae, is experienced by an estimated one in eight adults following acute COVID‐19. Long COVID is a new and complex chronic health condition that typically includes multiple symptoms that cross organ systems and fluctuate over time; a one‐size‐fits‐all approach is, therefore, not likely to be appropriate nor relevant for long COVID treatment. ‘Treatable Traits’ is a personalized medicine approach, purpose‐built to address the complexity and heterogeneity of complex chronic conditions. This comprehensive review aimed to understand how a treatable traits approach could be applied to long COVID, by first identifying the most prevalent long COVID treatable traits and then the available evidence for strategies to target these traits. An umbrella review of 22 systematic reviews identified 34 symptoms and complications common with long COVID, grouped into eight long COVID treatable trait clusters: neurological, chest, psychological, pain, fatigue, sleep impairment, functional impairment and other. A systematic review of randomized control trials identified 18 studies that explored different intervention approaches for long COVID prevention (k = 4) or management (k = 14). While a single study reported metformin as effective for long COVID prevention, the findings need to be replicated and consensus is required around how to define long COVID as a clinical trial endpoint. For long COVID management, current evidence supports exercise training or respiratory muscle training for long COVID treatable traits in the chest and functional limitation clusters. While there are studies exploring interventions targeting other long COVID treatable traits, further high‐quality RCTs are needed, particularly targeting treatable traits in the clusters of fatigue, psychological, pain and sleep impairment.

show abstract

“…The circadian nature of SARS Cov2 has also been proposed before [53] and some of the symptoms also show some circadian rhythmicity. Light intolerance is perhaps one of the most easily recognizable symptom with circadian rhythmicity [54]. Specifics on how such dysregulations drive post-acute sequelae are presented as epigenetic manipulation and two mechanisms are proposed.…”

Section: Post Acute Sequelaementioning

confidence: 99%

SARS-Cov2 seasonality and adaptation are driven by solar activity.

Gonzalez-Lugo¹

2023

Preprint

View full text Add to dashboard Cite

Since its isolation in Wuhan SARS-Cov2 showed a high mutation rate hindering the ability to properly characterize. Also as a consequence of its size, traditional sequence analysis methods were computationally constrained. However, applying variational autoencoders (VAEs) to custom sequence representations results in a series of clusters sorted by the sunshine duration (SD) rate of change (SDRC) and other solar-derived features. The transition between clusters is characterized by changes in viral genome size, apparent deletions can be found throughout the SARS-Cov2 genome. This series of deletions might behave as an internal clock inside the genome. SDRC-derived features synchronize COVID-19 cases into a single period. Both SDRC-derived features and solar features correlate with COVID-19 cases pointing towards a solar-dependent seasonality. Atmospheric changes that affect solar radiation also showed a correlation with COVID-19 cases. Analyzing viral genome composition as time series displays an attractor-like behavior under different solar-derived time scales. While clustering them by environmental conditions shows a similar pattern as the one found by the VAE models. Further development of analysis techniques will help us to better understand the seasonality and adaptation of pathogenic organisms.

show abstract

The prevalence of sensory changes in post-COVID syndrome: A systematic review and meta-analysis

Cited by 27 publications

References 56 publications

Overview of autoantibodies in COVID‐19 convalescents

Overview of autoantibodies in COVID‐19 convalescents

Treatable traits for long COVID

SARS-Cov2 seasonality and adaptation are driven by solar activity.

Contact Info

Product

Resources

About