Persistent neurological manifestations in long COVID-19 syndrome: A systematic review and meta-analysis

Pinzon, Rizaldy Taslim; Wijaya, Vincent Ongko; Jody, Abraham Al; Nunsio, Patrick Nalla; Buana, Ranbebasa Bijak

doi:10.1016/j.jiph.2022.06.013

Cited by 63 publications

(53 citation statements)

References 68 publications

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“…1 The frequency of the most common symptoms four week or more after the acute Covid-19 infection. Data presented in meta-analyses, selected on the basis of homogeneous reporting criteria [10][11][12][13][14][15][16][17][18][19][20].…”

Section: Organs and Systems Involved Lungmentioning

confidence: 99%

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Long Covid: where we stand and challenges ahead

et al. 2022

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Post-acute sequelae of SARS-CoV-2 (PASC), also known as Post-Covid Syndrome, and colloquially as Long Covid, has been defined as a constellation of signs and symptoms which persist for weeks or months after the initial SARS-CoV-2 infection. PASC affects a wide range of diverse organs and systems, with manifestations involving lungs, brain, the cardiovascular system and other organs such as kidney and the neuromuscular system. The pathogenesis of PASC is complex and multifactorial. Evidence suggests that seeding and persistence of SARS-CoV-2 in different organs, reactivation, and response to unrelated viruses such as EBV, autoimmunity, and uncontrolled inflammation are major drivers of PASC. The relative importance of pathogenetic pathways may differ in different tissue and organ contexts. Evidence suggests that vaccination, in addition to protecting against disease, reduces PASC after breakthrough infection although its actual impact remains to be defined. PASC represents a formidable challenge for health care systems and dissecting pathogenetic mechanisms may pave the way to targeted preventive and therapeutic approaches.

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Section: Organs and Systems Involved Lungmentioning

confidence: 99%

“…Most reports are limited in number and meta-analyses can provide more extensive and reliable values. Frequencies collected from 11 meta-analyses reporting homogeneous information [10][11][12][13][14][15][16][17][18][19][20] allow to present reliable data (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Long Covid: where we stand and challenges ahead

et al. 2022

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“…Non-specific neurological symptoms like fatigue/weakness and myalgia are common symptoms of any viral or bacterial infection that make researchers consider them as systemic symptoms at the beginning of the pandemic. But recently studies show that they are also common COVID-19 sequelas even after 6-months follow-up which challenge the theory that they are caused by acute viral infection and inflammation [13] , indicating they may be the results of the virus's effect on the muscles and mental health. Some studies showed that COVID-19-associated inflammation might lead to neurotransmitter impairment, possibly representing the basis of fatigue and explaining mental disorder [14] .…”

Section: Discussionmentioning

confidence: 96%

“…We selected to include them in the neurological manifestations based on the systematic review and meta-analysis [4] . These symptoms were also considered as persistent neurological manifestations in long COVID-19 syndrome according to recent review [13] . All anamnestic interviews were collected by clinicians from the general wards where patients were hospitalized, and reviewed and confirmed by two trained neurologists.…”

Section: Methodsmentioning

confidence: 99%

Neurological Manifestations of hospitalized patients with mild to moderate infection with SARS-CoV-2 Omicron variant in Shanghai, China

Shen¹,

Wang²,

Shen³

et al. 2023

Journal of Infection and Public Health

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“…Fatigue was shown in a recent meta-analysis including 36 studies and a total of 9,944 participants to be the most common symptom (mean 52.8%; 95% Confidence Interval 19.9–84.4) [ 15 ]. The large 95% confidence intervals highlight the need for a more strict and homogenous definition of the post-COVID syndrome and its symptoms.…”

Section: Introductionmentioning

confidence: 99%