A cellular senescence-related gene signature for predicting severity in COVID-19 analyzed by bioinformatics combining machine learning algorithm - Vienna 2024

Clinical problems in long COVID-19

Chair(s): Timothy Hinks, Sachin Ananth

Session type: Poster session

A cellular senescence-related gene signature for predicting severity in COVID-19 analyzed by bioinformatics combining machine learning algorithm

Shibo Guan

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Bacterial Co-infection and Secondary Infection in SARS-CoV-2 (COVID- 19) Adult Patients in a National Tertiary Infectious Disease Hospital

Maria Yvez Erika Ugale

Abstract

Disparities in post-COVID-19 prolonged fatigue: A comparative analysis between healthcare workers and the general population

Young Seok Lee

Poster

Abstract

Leukocyte glucose index (LGI) as a marker of Covid-19 pneumonia progression

Olha Shchudro

Poster

Abstract

The predictors of long COVID-19 syndrome in patients managed in out-patient healthcare settings

Tatiana Osipov

Abstract

The impact of ICU bed capacity optimization strategy on the average length of hospital stay and cost following the open policy of COVID-19 in China: a differences-in-differences model analysis

Xiumei Tang

Poster

Abstract

Deep phenotyping in long COVID: Pulmonary microangiopathy in non-hospitalized patients

Laura Price

Poster

Abstract

Follow-up of children with Long COVID

Handan Keke

Poster

Abstract

Autoimmune diseases and its impact on patients with COVID-19 in hospitalized: a retrospective analysis

Jiadi Gan

Abstract

The role of peripheral blood CD4+CD45RA+ T cells and CD4+CD45RO+ T cells in evaluation of COVID-19 patients

Hang Su

Poster

Abstract

A cellular senescence-related gene signature for predicting severity in COVID-19 analyzed by bioinformatics combining machine learning algorithm

Shibo Guan

Abstract

Association between endothelial dysfunction and pulmonary function in patients with post SARS-COV-2 infection.

Celemi Vigil-lopez

Poster

Abstract

Is there a need for prolonged anticoagulation after COVID-19?

Nataliia Habshydze

Poster

Abstract

Characteristics of blood cells in Omicron-associated Pneumonia patients with hematologic malignancies and the relationship between blood cells and the prognosis of Omicron-associated Pneumonia:a retrospective cohort study.

Yajuan Chen

Abstract

Validation of the 'Post-COVID-19 Functional Status Scale (PCSF)' in patients with COVID-19 infection.

Olga Milena Garcia Morales

Poster

Abstract

Assessment of exertional capacity and quality of life in COVID-19 survivors

Vanessa Teotonio

Poster

Abstract

Association between endothelial dysfunction and body composition in post-COVID-19 syndrome patients

Frida Albarran L?pez

Poster

Abstract

Changes in body composition in patients with ischaemic heart disease and post-COVID-19 syndrome.

Jose Antonio Sanchez Paredes

Poster

Abstract

Clinical and physiological variables in post-COVID-19 patients with and without fatigue

Lu?s Maur?cio Batalin J?nior

Poster

Abstract

Post-acute COVID-19: results of large principal component analysis

Nataliia Habshydze

Poster

Abstract

CDN Connection Issue

The ERS Congress 2024, Vienna

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