Long term predictors of breathlessness, exercise intolerance, chronic fatigue and well-being in hospitalized patients with COVID-19: A cohort study with 4 months median follow-up

Abstract:

Background: Post-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. We therefore aimed to determine predictors of different functional outcomes after hospital discharge in patients with COVID-19.

Methods: An ambidirectional cohort study was conducted between May and July 2020, in which PCR-confirmed COVID-19 patients underwent a standardized telephone assessment between 6 weeks and 6 months post discharge. We excluded patients who died, had a mental illness or failed to respond to two follow-up phone calls. The medical research council (MRC) dyspnea scale, metabolic equivalent of task (MET) score for exercise tolerance, chronic fatigability syndrome (CFS) scale and World Health Organization-five well-being index (WHO-5) for mental health were used to evaluate symptoms at follow-up.

Results: 375 patients were contacted and 153 failed to respond. The median timing for the follow-up assessment was 122 days (IQR, 109-158). On multivariate analyses, female gender, pre-existing lung disease, headache at presentation, intensive care unit (ICU) admission, critical COVID-19 and post-discharge ER visit were predictors of higher MRC scores at follow-up. Female gender, older age >67 years, arterial hypertension and emergency room (ER) visit were associated with lower MET exercise tolerance scores. Female gender, pre-existing lung disease, and ER visit were associated with higher risk of CFS. Age, dyslipidemia, hypertension, pre-existing lung disease and duration of symptoms were negatively associated with WHO-5 score.

Conclusions: Several risk factors were associated with an increased risk of PACS. Hospitalized patients with COVID-19 who are at risk for PACS may benefit from a targeted pre-emptive follow-up and rehabilitation programs.

Source: Tleyjeh IM, Saddik B, Ramakrishnan RK, AlSwaidan N, AlAnazi A, Alhazmi D, Aloufi A, AlSumait F, Berbari EF, Halwani R. Long term predictors of breathlessness, exercise intolerance, chronic fatigue and well-being in hospitalized patients with COVID-19: A cohort study with 4 months median follow-up. J Infect Public Health. 2021 Nov 18;15(1):21-28. doi: 10.1016/j.jiph.2021.11.016. Epub ahead of print. PMID: 34861604; PMCID: PMC8600938. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600938/ (Full text)

SARS-CoV-2: Emerging Role in the Pathogenesis of Various Thyroid Diseases

Abstract:

Coronavirus disease-2019 (COVID-19) is asymptomatic in most cases, but it is impartible and fatal in fragile and elderly people. Heretofore, more than four million people succumbed to COVID-19, while it spreads to every part of the globe. Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) induces various dysfunctions in many vital organs including the thyroid by utilizing ACE2 as a receptor for cellular entry. Emerging reports clearly show the involvement of SARS-CoV-2 in diverse thyroid disorders. Thus, this review article aims to review comprehensively all the recent developments in SARS-CoV-2-induced pathogenesis of thyroid diseases.

The review briefly summarizes the recent key findings on the mechanism of SARS-CoV-2 infection, the role of ACE2 receptor in viral entry, SARS-CoV-2-activated molecular signaling in host cells, ACE2 expression in the thyroid, cytokine storm, and its vital role in thyroid dysfunction and long-COVID in relation to thyroid and autoimmunity.

Further, it extensively discusses rapidly evolving knowledge on the potential part of SARS-CoV-2 in emerging various thyroid dysfunctions during and post-COVID-19 conditions which include subacute thyroiditis, Graves’ diseases, Hashimoto’s thyroiditis, thyrotoxicosis, and other recent advances in further discerning the implications of this virus within thyroid dysfunction. Unraveling the pathophysiology of SARS-CoV-2-triggered thyroid dysfunctions may aid pertinent therapeutic options and management of these patients in both during and post-COVID-19 scenarios.

Source: Murugan AK, Alzahrani AS. SARS-CoV-2: Emerging Role in the Pathogenesis of Various Thyroid Diseases. J Inflamm Res. 2021 Nov 24;14:6191-6221. doi: 10.2147/JIR.S332705. PMID: 34853527; PMCID: PMC8628126. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628126/ (Full text)

COVID-19 Induced Immunosuppression resulting in Pulmonary Mucormycosis : A Long COVID sequalae

Abstract:

With increasing incidence of Severe Acute Respiratory Distress Virus 2(SARS -CoV -2) in India, there has been growing reports of super infections in post covid 19 period. Long COVID refers to persistence of COVID19 symptoms for weeks to months. While most common manifestation of long COVID is fatigue and ill health, it may lead to development of life-threatening complications like Pulmonary Mucormycosis.

We report a case of 54 year young, non-diabetic previously healthy male who had moderate COVID19 treated with low dose steroids and recovered completely, only to present with hemoptysis 3 months later on High Resolution Computed Tomography Scan of the Chest and Rhizopus fungi on bronchoalveolar lavage confirming Post Covid Pulmonary Mucormycosis in non-immunocompromised host. Patient was managed with dual antifungal therapy intravenous Liposomal Amphotericin B and Posaconazole for 3weeks, followed by oral Posaconazole.

Source: Dhruv Talwar1,Sunil Kumar,Sourya Acharya,Sparsh Madaan,Vidyashree Hulkoti. COVID-19 Induced Immunosuppression resulting in Pulmonary Mucormycosis : A Long COVID sequalae. J MEDICINE 2021; 22: 150-154 https://www.researchgate.net/publication/356692787_COVID-19_Induced_Immunosuppression_resulting_in_Pulmonary_Mucormycosis_A_Long_COVID_sequalae (Full text)

Risk Factors Associated with Development and Persistence of Long COVID: A Cross-Sectional Study

Abstract:

Background: Long coronavirus disease (COVID) has been a social concern. Though patient characteristics associated with the
development of long COVID are partially known, those associated with its persistence have not been identified.

Methods: We conducted a cross-sectional questionnaire survey of patients after COVID-19 recovery who visited the National
Center for Global Health and Medicine between February 2020 and March 2021. Demographic and clinical data and
data regarding the presence and duration of long COVID were obtained. We identified factors associated with the
development and persistence of long COVID using multivariate logistic and linear regression analysis, respectively.

Results: We analyzed 457 of 526 responses (response rate, 86.9%). The median age was 47 years, and 378 patients (84.4%)
had mild disease in the acute phase. The number of patients with any symptoms after 6 and 12 months after onset or
diagnosis were 120 (26.3%) and 40 (8.8%), respectively. Women were at risk for development of fatigue (odds ratio
[OR]: 2.03, 95% confidence interval [CI]: 1.31-3.14), dysosmia (OR: 1.91, 95% CI: 1.24-2.93), dysgeusia (OR: 1.56, 95% CI:
1.02-2.39), and hair loss (OR: 3.00, 95% CI: 1.77-5.09) and for persistence of any symptoms (coefficient: 38.0, 95% CI:
13.3-62.8). Younger age and low body mass index were risk factors for developing dysosmia (OR: 0.96, 95% CI: 0.94-
0.98 and OR: 0.94, 95% CI: 0.89-0.99, respectively) and dysgeusia (OR: 0.98, 95% CI: 0.96-1.00 and OR: 0.93, 95% CI:
0.88-0.98, respectively).

Conclusion: We identified risk factors for the development and persistence of long COVID. Many patients suffer from long-term
residual symptoms, even in mild cases.

Source: Yusuke Miyazato, Shinya Tsuzuki, Shinichiro Morioka, Mari Terda, Satoshi Kutsuna, Sho Saito, Yumiko Shimanishi, Kozue Takahashi, Mio Sanada, Masako Akashi, Chika Kuge, Yasuyo Osanai, Keiko Tanaka, Michiyo Suzuki, Kayoko Hayakawa, Norio Ohmagari. Risk Factors Associated with Development and Persistence of Long COVID: A Cross-Sectional Study.
doi: https://doi.org/10.1101/2021.09.22.21263998 https://www.medrxiv.org/content/10.1101/2021.09.22.21263998v1.full-text (Full text)

Who has long-COVID? A big data approach

Abstract:

Background Post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as long-COVID, have severely impacted recovery from the pandemic for patients and society alike. This new disease is characterized by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous long-COVID definition. Electronic health record (EHR) studies are a critical element of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, which is addressing the urgent need to understand PASC, accurately identify who has PASC, and identify treatments.

Methods Using the National COVID Cohort Collaborative’s (N3C) EHR repository, we developed XGBoost machine learning (ML) models to identify potential long-COVID patients. We examined demographics, healthcare utilization, diagnoses, and medications for 97,995 adult COVID-19 patients. We used these features and 597 long-COVID clinic patients to train three ML models to identify potential long-COVID patients among (1) all COVID-19 patients, (2) patients hospitalized with COVID-19, and (3) patients who had COVID-19 but were not hospitalized.

Findings Our models identified potential long-COVID patients with high accuracy, achieving areas under the receiver operator characteristic curve of 0.91 (all patients), 0.90 (hospitalized); and 0.85 (non-hospitalized). Important features include rate of healthcare utilization, patient age, dyspnea, and other diagnosis and medication information available within the EHR. Applying the “all patients” model to the larger N3C cohort identified 100,263 potential long-COVID patients.

Interpretation Patients flagged by our models can be interpreted as “patients likely to be referred to or seek care at a long-COVID specialty clinic,” an essential proxy for long-COVID diagnosis in the current absence of a definition. We also achieve the urgent goal of identifying potential long-COVID patients for clinical trials. As more data sources are identified, the models can be retrained and tuned based on study needs.

Source: Pfaff ER, Girvin AT, Bennett TD, Bhatia A, Brooks IM, Deer RR, Dekermanjian JP, Jolley SE, Kahn MG, Kostka K, McMurry JA, Moffitt R, Walden A, Chute CG, Haendel MA, The N3C Consortium. (2021). Who has long-COVID? A big data approach [preprint]. UMass Center for Clinical and Translational Science Supported Publications. https://doi.org/10.1101/2021.10.18.21265168. Retrieved from https://escholarship.umassmed.edu/umccts_pubs/253

Viral diseases and the brain: Long COVID puts the spotlight on how viral infections affect the brain

Abstract:

Various viruses can affect the brain directly or indirectly. The specter of Long COVID has focused research on how respiratory viruses can cause infection and inflammation of brain cells.

Source: Hunter P. Viral diseases and the brain: Long COVID puts the spotlight on how viral infections affect the brain. EMBO Rep. 2021 Nov 29:e54342. doi: 10.15252/embr.202154342. Epub ahead of print. PMID: 34842325. https://pubmed.ncbi.nlm.nih.gov/34842325/

Long COVID from rheumatology perspective – a narrative review

Abstract:

Long-term sequel of acute COVID-19, commonly referred to as long COVID, has affected millions of patients worldwide. Long COVID patients display persistent or relapsing and remitting symptoms that include fatigue, breathlessness, cough, myalgia, arthralgia, sleep disturbance, cognitive impairment and skin rashes. Due to the shared clinical features, laboratory and imaging findings, long COVID could mimic rheumatic disease posing a diagnostic challenge. Our comprehensive literature review will help rheumatologist to be aware of long COVID manifestations and differentiating features from rheumatic diseases to ensure a timely and correct diagnosis is reached.

Source: Sapkota HR, Nune A. Long COVID from rheumatology perspective – a narrative review. Clin Rheumatol. 2021 Nov 30:1–12. doi: 10.1007/s10067-021-06001-1. Epub ahead of print. PMID: 34845562; PMCID: PMC8629735. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629735/ (Full text)

Proposed subtypes of post-COVID-19 syndrome (or long-COVID) and their respective potential therapies

Abstract:

The effects of coronavirus disease 2019 (COVID-19), a highly transmissible infectious respiratory disease that has initiated an ongoing pandemic since early 2020, do not always end in the acute phase. Depending on the study referred, about 10%-30% (or more) of COVID-19 survivors may develop long-COVID or post-COVID-19 syndrome (PCS), characterised by persistent symptoms (most commonly fatigue, dyspnoea, and cognitive impairments) lasting for 3 months or more after acute COVID-19. While the pathophysiological mechanisms of PCS have been extensively described elsewhere, the subtypes of PCS have not. Owing to its highly multifaceted nature, this review proposes and characterises six subtypes of PCS based on the existing literature.

The subtypes are non-severe COVID-19 multi-organ sequelae (NSC-MOS), pulmonary fibrosis sequelae (PFS), myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), postural orthostatic tachycardia syndrome (POTS), post-intensive care syndrome (PICS) and medical or clinical sequelae (MCS). Original studies supporting each of these subtypes are documented in this review, as well as their respective symptoms and potential interventions. Ultimately, the subtyping proposed herein aims to provide better clarity on the current understanding of PCS.

Source: Yong SJ, Liu S. Proposed subtypes of post-COVID-19 syndrome (or long-COVID) and their respective potential therapies. Rev Med Virol. 2021 Dec 9:e2315. doi: 10.1002/rmv.2315. Epub ahead of print. PMID: 34888989. https://pubmed.ncbi.nlm.nih.gov/34888989/

Skeletal muscle alterations in patients with acute Covid-19 and post-acute sequelae of Covid-19

Abstract:

Background and methods: Skeletal muscle-related symptoms are common in both acute Covid-19 and Post-Acute Sequelae of Covid-19 (PASC). In this narrative review, we discuss cellular and molecular pathways that are affected, and consider these in regard to skeletal muscle involvement in other conditions, such as acute respiratory distress syndrome, critical illness myopathy and post-viral fatigue syndrome.
Results: Patients with severe Covid-19 and PASC suffer from skeletal muscle weakness and exercise intolerance. Histological sections present muscle fiber atrophy, metabolic alterations, and immune cell infiltration. Contributing factors to weakness and fatigue in patients with severe Covid-19 include systemic inflammation, disuse, hypoxemia, and malnutrition. These factors also contribute to post-ICU syndrome and ICU-acquired weakness, and likely explain a substantial part of Covid-19-acquired weakness. The skeletal muscle weakness and exercise intolerance associated with PASC are more obscure and different factors likely contribute. Direct SARS-CoV-2 viral infiltration into skeletal muscle or an aberrant immune system likely contribute. Similarities between skeletal muscle alterations in PASC and chronic fatigue syndrome deserve further study.
Conclusion: Both SARS-CoV-2 specific factors and generic consequences of acute disease likely underlie the observed skeletal muscle alterations in both acute Covid 19 and PASC.
Source: Soares, M., Eggelbusch, M., Naddaf, E., Gerrits, K., van der Schaaf, M., van den Borst, B., Wiersinga, W. J., et al. Skeletal muscle alterations in patients with acute Covid-19 and post-acute sequelae of Covid-19. Journal of Cachexia, Sarcopenia and Muscle. https://doi.org/10.17863/CAM.78509 https://www.repository.cam.ac.uk/handle/1810/331064

Fatigue in post-acute sequelae of SARS-CoV2 (PASC) treated with oxygen-ozone autohemotherapy – preliminary results on 100 patients

Abstract:

Objective: Post-acute sequelae of SARS-CoV2 infection (PASC) are a novel terminology used to describe post-COVID persistent symptoms, mimicking somehow the previously described chronic fatigue syndrome (CFS). In this manuscript, we evaluated a therapeutical approach to address PASC-derived fatigue in a cohort of past-COVID-19 positive patients.

Patients and methods: A number of 100 patients, previously diagnosed as COVID-19 positive subjects and meeting our eligibility criteria, was diagnosed having PASC-related fatigue. They were recruited in the study and treated with oxygen-ozone autohemotherapy (O2-O3-AHT), according to the SIOOT protocol. Patients’ response to O2-O3-AHT and changes in fatigue were measured with the 7-scoring Fatigue Severity Scale (FSS), according to previously published protocols.

Results: Statistics assessed that the effects of O2-O3-AHT on fatigue reduced PASC symptoms by 67%, as a mean, in all the investigated cohort of patients (H = 148.4786 p < 0.0001) (Figure 1). Patients following O2-O3-AHT therapy, quite completely recovered for PASC-associated fatigue, a quote amounting to about two fifths (around 40%) of the whole cohort undergoing ozone treatment and despite most of patients were female subjects, the effect was not influenced by sex distribution (H = 0.7353, p = 0.39117).

Conclusions: Ozone therapy is able to recover normal functionality and to relief pain and discomfort in the form of PASC-associated fatigue in at least 67% of patients suffering from post-COVID sequelae, aside from sex and age distribution.

Source: Tirelli U, Franzini M, Valdenassi L, Pisconti S, Taibi R, Torrisi C, Pandolfi S, Chirumbolo S. Fatigue in post-acute sequelae of SARS-CoV2 (PASC) treated with oxygen-ozone autohemotherapy – preliminary results on 100 patients. Eur Rev Med Pharmacol Sci. 2021 Sep;25(18):5871-5875. doi: 10.26355/eurrev_202109_26809. PMID: 34604980. https://pubmed.ncbi.nlm.nih.gov/34604980/