COVID-19 and Cardiovascular Comorbidities

Müller‐Wieland, Dirk; Dreher, Michael; Fritzen, Katharina; Schnell, Oliver

doi:10.1055/a-1269-1405

Cited by 22 publications

(21 citation statements)

References 139 publications

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“…Briefly, SARS-CoV-2 can induce anaerobic metabolism via the disruption of cell oxygenation and the induction of anaerobic glycolysis ( 95 ). As cell pH is controlled by Na + /H + and lactate/H + exchangers and symporters, respectively, high lactate serum levels in SARS-CoV-2 raise the activity of the lactate/H + symporter with subsequent cell acidosis ( 96 ). Dapagliflozin inhibits cell Na + /H + exchangers, thus reducing cell acidosis and SARS-CoV-2 activation at acidic pH.…”

Section: Diabetic Pharmacotherapy and Covid-19mentioning

confidence: 99%

COVID-19 in Relation to Hyperglycemia and Diabetes Mellitus

Al-Kuraishy¹,

Al-Gareeb²,

Alblihed

et al. 2021

Front. Cardiovasc. Med.

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Coronavirus disease 2019 (COVID-19), triggered by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), may lead to extrapulmonary manifestations like diabetes mellitus (DM) and hyperglycemia, both predicting a poor prognosis and an increased risk of death. SARS-CoV-2 infects the pancreas through angiotensin-converting enzyme 2 (ACE2), where it is highly expressed compared to other organs, leading to pancreatic damage with subsequent impairment of insulin secretion and development of hyperglycemia even in non-DM patients. Thus, this review aims to provide an overview of the potential link between COVID-19 and hyperglycemia as a risk factor for DM development in relation to DM pharmacotherapy. For that, a systematic search was done in the database of MEDLINE through Scopus, Web of Science, PubMed, Embase, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), and Wanfang Data. Data obtained underline that SARS-CoV-2 infection in DM patients is more severe and associated with poor clinical outcomes due to preexistence of comorbidities and inflammation disorders. SARS-CoV-2 infection impairs glucose homeostasis and metabolism in DM and non-DM patients due to cytokine storm (CS) development, downregulation of ACE2, and direct injury of pancreatic β-cells. Therefore, the potent anti-inflammatory effect of diabetic pharmacotherapies such as metformin, pioglitazone, sodium-glucose co-transporter-2 inhibitors (SGLT2Is), and dipeptidyl peptidase-4 (DPP4) inhibitors may mitigate COVID-19 severity. In addition, some antidiabetic agents and also insulin may reduce SARS-CoV-2 infectivity and severity through the modulation of the ACE2 receptor expression. The findings presented here illustrate that insulin therapy might seem as more appropriate than other anti-DM pharmacotherapies in the management of COVID-19 patients with DM due to low risk of uncontrolled hyperglycemia and diabetic ketoacidosis (DKA). From these findings, we could not give the final conclusion about the efficacy of diabetic pharmacotherapy in COVID-19; thus, clinical trial and prospective studies are warranted to confirm this finding and concern.

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Section: Diabetic Pharmacotherapy and Covid-19mentioning

confidence: 99%

COVID-19 in Relation to Hyperglycemia and Diabetes Mellitus

Al-Kuraishy¹,

Al-Gareeb²,

Alblihed

et al. 2021

Front. Cardiovasc. Med.

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“…From the start of the pandemic, a wide spectrum of studies that focus on different aspects, such as COVID-19-related risk factors [17] and its treatment [9], have been published. However, we aimed to gather studies that are useful in developing predictive risk models in which the collection of longitudinal data is one of their main characteristics.…”

Section: Publicationsmentioning

confidence: 99%

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk

Khatami,

Sargsyan,

Russo

et al. 2024

Data

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Although hundreds of datasets have been published since the beginning of the coronavirus pandemic, there is a lack of centralized resources where these datasets are listed and harmonized to facilitate their applicability and uptake by predictive modeling approaches. Firstly, such a centralized resource provides information about data owners to researchers who are searching datasets to develop their predictive models. Secondly, the harmonization of the datasets supports simultaneously taking advantage of several similar datasets. This, in turn, does not only ease the imperative external validation of data-driven models but can also be used for virtual cohort generation, which helps to overcome data sharing impediments. Here, we present that the COVID-19 data catalogue is a repository that provides a landscape view of COVID-19 studies and datasets as a putative source to enable researchers to develop personalized COVID-19 predictive risk models. The COVID-19 data catalogue currently contains over 400 studies and their relevant information collected from a wide range of global sources such as global initiatives, clinical trial repositories, publications, and data repositories. Further, the curated content stored in this data catalogue is complemented by a web application, providing visualizations of these studies, including their references, relevant information such as measured variables, and the geographical locations of where these studies were performed. This resource is one of the first to capture, organize, and store studies, datasets, and metadata related to COVID-19 in a comprehensive repository. We believe that our work will facilitate future research and development of personalized predictive risk models for COVID-19.

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“…COVID-19 is widespread, and its association with various other diseases have been reported . Possible associations of COVID-19 with autoimmune diseases also have been suggested, because SARS-CoV-2 appears to perturb self-tolerance and trigger autoimmune reactions via cross-reactivity that may lead to the development of autoimmune diseases .…”

Section: Introductionmentioning

confidence: 99%

Autoimmune and Autoinflammatory Connective Tissue Disorders Following COVID-19

Lim,

Ju,

Han

et al. 2023

JAMA Netw Open

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ImportanceMultiple cases of autoimmune and autoinflammatory diseases after COVID-19 have been reported. However, their incidences and risks have rarely been quantified.ObjectiveTo investigate the incidences and risks of autoimmune and autoinflammatory connective tissue disorders after COVID-19.Design, Setting, and ParticipantsThis was a retrospective population-based study conducted between October 8, 2020, and December 31, 2021, that used nationwide data from the Korea Disease Control and Prevention Agency COVID-19 National Health Insurance Service cohort and included individuals who received a diagnosis of COVID-19 via polymerase chain reaction testing and a control group with no evidence of COVID-19 identified from National Health Insurance Service of Korea cohort. Data analysis was conducted from September 2022 to August 2023.ExposuresReceipt of diagnosis of COVID-19.Main Outcomes and MeasuresThe primary outcomes were the incidence and risk of autoimmune and autoinflammatory connective tissue disorders following COVID-19. A total of 32 covariates, including demographics, socioeconomic statuses, lifestyle factors, and comorbidity profiles, were balanced through inverse probability weighting. The incidences and risks of autoimmune and autoinflammatory connective tissue disorders were compared between the groups using multivariable Cox proportional hazard analyses.ResultsA total of 354 527 individuals with COVID-19 (mean [SD] age, 52.24 [15.55] years; 179 041 women [50.50%]) and 6 134 940 controls (mean [SD] age, 52.05 [15.63] years; 3 074 573 women [50.12%]) were included. The risks of alopecia areata (adjusted hazard ratio [aHR], 1.12; 95% CI, 1.05-1.19), alopecia totalis (aHR, 1.74; 95% CI, 1.39-2.17), antineutrophil cytoplasmic antibody–associated vasculitis (aHR, 2.76; 95% CI, 1.64-4.65), Crohn disease (aHR, 1.68; 95% CI, 1.31-2.15), and sarcoidosis (aHR, 1.59; 95% CI, 1.00-2.52) were higher in the COVID-19 group. The risks of alopecia totalis, psoriasis, vitiligo, vasculitis, Crohn disease, ulcerative colitis, rheumatoid arthritis, adult-onset Still disease, Sjögren syndrome, ankylosing spondylitis, and sarcoidosis were associated with the severity of COVID-19.Conclusions and RelevanceIn this retrospective cohort study, COVID-19 was associated with a substantial risk for autoimmune and autoinflammatory connective tissue disorders, indicating that long-term management of patients with COVID-19 should include evaluation for such disorders.

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COVID-19 and Cardiovascular Comorbidities

Cited by 22 publications

References 139 publications

COVID-19 in Relation to Hyperglycemia and Diabetes Mellitus

COVID-19 in Relation to Hyperglycemia and Diabetes Mellitus

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk

Autoimmune and Autoinflammatory Connective Tissue Disorders Following COVID-19

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