Challenge of post-COVID era: management of cardiovascular complications in asymptomatic carriers of SARS-CoV-2

Gupta, Shreyasi; Mitra, Amrita

doi:10.1007/s10741-021-10076-y

Cited by 14 publications

(7 citation statements)

References 73 publications

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“…Researchers also warn of a potential new pandemic of cardiovascular disease in the post-COVID-19 era if a more efficient therapeutic management is not developed for patients with a heart disease, with rigorous screening and identification of specific markers for morbidities that are more frequently associated with COVID -19 34 .…”

Section: Discussionmentioning

confidence: 99%

“…The production of ROS and viral activation of RAAS (via increased expression of angiotensin II) result in insulin resistance, hyperglycemia, and vascular endothelial damage, conditions that contribute to cardiovascular events, thromboembolism, and dissemination of intravascular coagulation. Infection also causes an increase in coagulation components, including fibrinogen and D-dimer, resulting in increases in blood viscosity and vascular endothelial damage, associated with cardiovascular alterations and coagulation disorders 34 .…”

Section: Discussionmentioning

confidence: 99%

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Variáveis associadas ao desfecho clínico de pacientes hospitalizados por COVID-19

Desiderio¹,

Fabio²,

Cárnio

et al. 2021

Rev. Med. (São Paulo)

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Introdução: Compreender a fisiopatologia da COVID-19 e fatores associados à evolução grave dessa doença é primordial para o estabelecimento de melhores condutas preventivas, diagnósticas e terapêuticas no combate ao novo coronavírus. Objetivo: Identificar as características sociodemográficas e clínicas associadas ao desfecho clínico de pacientes hospitalizados com diagnóstico de COVID-19 em um serviço privado de um município do interior paulista. Método: Incluíram-se os dados sociodemográficos e clínicos de 117 pacientes hospitalizados com diagnóstico de COVID-19, atendidos no período de julho a dezembro de 2020. Os dados foram analisados por meio do teste não paramétrico Qui-Quadrado de Pearson e o Teste Exato de Fisher, com adoção do nível de significância estatística de 5% (p<0,05). Resultados: A maior parte dos pacientes hospitalizados pertencia ao sexo masculino, com idade entre 61 a 70 anos, permaneceu em enfermaria por 8,7 dias sendo que 29,9% evoluíram para óbito. Hipertensão arterial e baixa saturação de oxigênio representaram, respectivamente, a comorbidade e o fator de gravidade mais frequentes. Identificou-se associação entre a variável desfecho com as variáveis idade superior a 64 anos e alteração da função renal. Conclusões: Entre pacientes hospitalizados com diagnóstico de COVID-19, o desfecho clínico associou-se aos fatores de gravidade, faixa etária e alteração da função renal.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Variáveis associadas ao desfecho clínico de pacientes hospitalizados por COVID-19

Desiderio¹,

Fabio²,

Cárnio

et al. 2021

Rev. Med. (São Paulo)

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“…The spectrum of the symptoms of Coronavirus is broad and includes fever, cough, shortness of breath, hoarse voice, abdominal pain, or chest pain [2], and infected individuals may experience a rare loss of taste and smell [3]. The disease may end with long-term complications such as inter alia respiratory, neurological, cardiovascular problems, and many other potential issues that have yet to be fully described [4], [5], [6]. Some similarities in the development of the COVID-19 pandemic and epidemics of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) have been observed [7].…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques

et al. 2021

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Early detection of COVID-19 positive people are now extremely needed and considered to be one of the most effective ways how to limit spreading the infection. Commonly used screening methods are reverse transcription polymerase chain reaction (RT-PCR) or antigen tests, which need to be periodically repeated. This paper proposes a methodology for detecting the disease in non-invasive way using wearable devices and for the analysis of bio-markers using artificial intelligence. This paper have reused a publicly available dataset containing COVID-19, influenza, and Healthy control data. In total 27 COVID-19 positive and 27 healthy control were pre-selected for the experiment, and several feature extraction methods were applied to the data. This paper have experimented with several machine learning methods, such as XGBoost, knearest neighbour k-NN, support vector machine, logistic regression, decision tree, and random forest, and statistically evaluated their perfomance using various metrics, including accuracy, sensitivity and specificity. The proposed experiment reached 78 % accuracy using the k-NN algorithm which is significantly higher than reported for state-of-the-art methods. For the cohort containing influenza, the accuracy was 73 % for k-NN. Additionally, we identified the most relevant features that could indicate the changes between the healthy and infected state. The proposed methodology can complement the existing RT-PCR or antigen screening tests, and it can help to limit the spreading of the viral diseases, not only COVID-19, in the non-invasive way.

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“…Respiratory failure is the primary cause of death in COVID-19 patients, but cardiovascular complications such as acute myocardial infarction (AMI), myocardial injury, fulminant myocarditis, arrhythmias, and thrombotic events may contribute to these patients’ morbidity and mortality [ 1 ]. In addition to such complications occurring in symptomatic patients, findings of cardiac involvement have also been observed in asymptomatic or mildly symptomatic cases [ 2 , 3 ]. Symptoms such as chest pain, shortness of breath, and fatigue may occur in patients after recovery, along with symptoms occurring during the active period of the disease.…”

Section: Introductionmentioning

confidence: 99%

SPECT myocardial perfusion imaging identifies myocardial ischemia in patients with a history of COVID-19 without coronary artery disease

Çap

Bilge

Gündoğan

et al. 2021

Int J Cardiovasc Imaging

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Challenge of post-COVID era: management of cardiovascular complications in asymptomatic carriers of SARS-CoV-2

Cited by 14 publications

References 73 publications

Variáveis associadas ao desfecho clínico de pacientes hospitalizados por COVID-19

Variáveis associadas ao desfecho clínico de pacientes hospitalizados por COVID-19

COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques

SPECT myocardial perfusion imaging identifies myocardial ischemia in patients with a history of COVID-19 without coronary artery disease

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