A distinct symptom pattern emerges for COVID-19 long-haul: a nationwide study

Pinto, Melissa D.; Downs, Charles A.; Huang, Yong; El-Azab, Sarah A.; Ramrakhiani, Nathan S.; Barisano, Anthony; Lü, Yu; Taylor, Kaitlyn; Esperanca, Alvaro; Abrahim, Heather L.; Hughes, Thomas D; Herrera, Maria Giraldo; Rahamani, Amir M.; Dutt, Nikil; Chakraborty, Rana; Mendiola, Christian; Lambert, Natalie

doi:10.1038/s41598-022-20214-7

Cited by 11 publications

(16 citation statements)

References 26 publications

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“…Using an exploratory factor analysis, with 299 patients with Long COVID, Jason and Dorri [ 9 ] found three factors: cognitive dysfunction, autonomic dysfunction, and post-exertional malaise. Several other factor analyses with Long COVID samples have found similar as well as different factors [ 10 , 11 , 12 , 13 ].…”

Section: Me/cfs and Post-exertional Malaise Among Patients With Long-...mentioning

confidence: 85%

ME/CFS and Post-Exertional Malaise among Patients with Long COVID

Jason¹,

Dorri²

2022

Neurology International

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This study sought to ascertain the prevalence of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) among a sample of 465 patients with Long COVID. The participants completed three questionnaires: (1) a new questionnaire measuring both the frequency and severity of 38 common symptoms of COVID and Long COVID, (2) a validated short form questionnaire assessing ME/CFS, and (3) a validated questionnaire measuring post-exertional malaise. The population was predominantly white, female, and living in North America. The mean duration since the onset of COVID-19 symptoms was 70.5 weeks. Among the 465 participants, 58% met a ME/CFS case definition. Of respondents who reported that they had ME/CFS only 70.57% met criteria for ME/CFS and of those who did not report they had ME/CFS, 29.43% nevertheless did meet criteria for the disease: both over-diagnosis and under-diagnosis were evident on self-report. This study supports prior findings that ME/CFS occurs with high prevalence among those who have persistent COVID-19 symptoms.

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Section: Me/cfs and Post-exertional Malaise Among Patients With Long-...mentioning

confidence: 85%

ME/CFS and Post-Exertional Malaise among Patients with Long COVID

Jason¹,

Dorri²

2022

Neurology International

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“…Long-COVID subjects often report prolonged respiratory symptoms with the most common being dyspnea (Pinto et al 2022 ). Several of the 119 top proteins were associated with the respiratory system including EDAR, CCL17, EREG, GTPBP2, and DRG2.…”

Section: Discussionmentioning

confidence: 99%

“…Approximately 30% of COVID-19 survivors suffer from prolonged, diffuse symptoms including fatigue, dyspnea, neurological symptoms, chest pain and gastrointestinal upset (Nalbandian et al 2021 ; Xu et al 2022 ; Crook et al 2021 ; Xie et al 2022 ; Pinto et al 2022 ; Nguyen et al 2022 ). These prolonged symptoms are termed “Long-COVID”; however, a comprehensive disease classification with participating biomarkers and mechanisms is not defined.…”

Section: Introductionmentioning

confidence: 99%

Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning

Patel

Knauer

Nicholson

et al. 2023

Mol Med

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Background Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as “Long-COVID”. A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID. Methods A case–control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP) of the UniProt Knowledgebase. Results Machine learning analysis identified 119 relevant proteins for differentiating Long-COVID outpatients (Bonferonni corrected P < 0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, F1 = 1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID. Conclusions Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics.

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“…In addition, there were significant shortages of personal protective equipment to protect frontline healthcare workers, inadequate supplies to care for COVID-19 patients, and rationing of ventilators 24,25 . The result was that many more US citizens died of COVID-19 than needed to die, 26 and others continue to have persistent symptoms after recovering from the initial infection 26–30 …”

Section: National Response To the 1918 And 2020 Pandemicsmentioning

confidence: 99%

“…Approximately 30% of survivors of COVID-19 develop persistent symptoms called long-haul COVID 63 . A recent nationwide study showed that persistent symptoms fell into 5 distinct areas: cold and flu-like symptoms, changes in taste and smell, dyspnea and chest pain, cognitive-visual symptoms, and cardiac symptoms 29 . Another summary of clinical manifestations also included neuropsychiatric, musculoskeletal, vascular, gastrointestinal, endocrine, renal, and dermatologic manifestations and laboratory abnormalities 27 .…”

Section: Sequelae Following Infection For the 1918 And 2020 Pandemicsmentioning

confidence: 99%

A Comparison of the 1918 and 2019 Pandemics in the United States

Baldwin

Gray

2023

Clin Nurse Spec

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There are eerie similarities between the 1918 Spanish influenza and 2019 COVID-19 pandemics that are somewhat surprising and disheartening, given that the time interval between the 2 pandemics is more than 100 years. This article covers the national response, etiology and pathophysiology, disease course and treatments, nursing shortages, healthcare responses, sequelae following infections, and economic and social impacts of both pandemics. Understanding the development and course of both pandemics will inform clinical nurse specialists about the changes that need to be made to be better prepared to recognize the changes that need to be made to prepare for the next pandemic.

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A distinct symptom pattern emerges for COVID-19 long-haul: a nationwide study

Cited by 11 publications

References 26 publications

ME/CFS and Post-Exertional Malaise among Patients with Long COVID

ME/CFS and Post-Exertional Malaise among Patients with Long COVID

Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning

A Comparison of the 1918 and 2019 Pandemics in the United States

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