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HGNC Genes

SARS-CoV-2 proteins

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    Changes in lipid metabolism in patients with severe COVID-19 MESHD

    Authors: Yi Li; Yan Zhang; Minhui Dai; Minxue Shen; Jianchu Zhang; Yanhui Cui; Ben Liu; Fengyu Lin; Lingli Chen; Duoduo Han; Yifei Fan; Yanjun Zeng; Wen Li; Sha Li; Xiang Chen; Pinhua Pan

    doi:10.21203/rs.3.rs-43521/v1 Date: 2020-07-15 Source: ResearchSquare

    Background: Dyslipidemia MESHD plays an important role in the pathogenesis and evolution of critical illness MESHD, but limited information exists regarding the lipid metabolism of severe coronavirus disease 2019 MESHD ( COVID-19 MESHD) patients. The aim of this study was to investigate role of dyslipidemia MESHD in patients with severe COVID-19 MESHDMethods: We retrospectively reviewed 216 severe COVID-19 MESHD patients with clarified outcomes (discharged or deceased), admitted to the West Court of Union Hospital in Wuhan, China, between February 1 and March 31, 2020. The dynamic changes of lipid profiles and their relationships with disease severity and clinical outcomes were analyzed.Results: A total of 216 severe COVID-19 MESHD patients, including 24 non-survivors and 192 survivors, were included in the final analyses. The levels of high-density lipoprotein cholesterol ( HDL-C) and apolipoprotein AI HGNC ( Apo-AI HGNC) on admission were significantly lower in non-survivors compared to survivors. During hospitalization, low-density lipoprotein cholesterol (LDL-C), total cholesterol(TC), HDL-C and Apo-AI HGNC were shown an increasing trend in survivors, but maintained lower levels or shown downward trend in non-survivors. The serum levels of HDL-C and Apo-AI HGNC were inversely correlated with C-reactive protein HGNC ( CRP HGNC), length of hospital stay of survivors and disease severity. The receiver operating characteristic (ROC) curve analysis identified a CRP HGNC/ HDL-C ratio cut-off value of 62.54 as the predictor for in-hospital mortality (AUC=0.823, Sensitivity=83.3%, Specificity=70.8%). Logistic regression analysis demonstrated that hypertension MESHD, neutrophils-to-lymphocytes ratio(NLR), platelet count and high CRP HGNC/ HDL-C ratio (>62.54) were independent factors to predict in-hospital mortality.Conclusions: The results demonstrated that dyslipidemia MESHD was associated with the inflammatory response, disease severity and poor prognosis of COVID-19 MESHD. High CRP HGNC/ HDL-C ratio may serve as an independently potential predictor for hospital mortality among patients with severe COVID-19 MESHD.

    Metabolic disturbances and inflammatory dysfunction predict severity of coronavirus disease 2019 MESHD ( COVID-19 MESHD): a retrospective study

    Authors: Shuke Nie; Xueqing Zhao; Kang Zhao; Zhaohui Zhang; Zhentao Zhang; Zhan Zhang

    doi:10.1101/2020.03.24.20042283 Date: 2020-03-26 Source: medRxiv

    Background: The coronavirus disease 2019 MESHD ( COVID-19 MESHD) is spreading worldwide with 16,558 deaths till date. Serum albumin HGNC, high-density lipoprotein (HDL-C), and C-reactive protein HGNC have been known to be associated with the severity and mortality of community-acquired pneumonia MESHD. However, the characteristics and role of metabolic and inflammatory indicators in COVID-19 MESHD is unclear. Methods: We included 97 hospitalized patients with laboratory-confirmed COVID-19 MESHD. Epidemiological, clinical, and laboratory indices; radiological features; and treatment were analysed. The differences in the clinical and laboratory parameters between mild and severe COVID-19 MESHD patients and the role of these indicators in severity prediction of COVID-19 MESHD were investigated. Results: All were Wuhan residents with contact with confirmed COVID-19 MESHD cases. The median age was 39 years (IQR: 30-59). The most common presenting symptoms were fever MESHD (58.8%), cough (55.7%), and fatigue MESHD (33%). Other features were lymphopenia MESHD, impaired fasting glucose, hypoproteinaemia MESHD, hypoalbuminemia MESHD, low high-density lipoproteinemia MESHD. Decrease in lymphocyte count, serum total protein, serum albumin HGNC, high-density lipoprotein cholesterol (HDL-C), ApoA1 HGNC, CD3+T%, and CD8+T% were found to be valuable in predicting the transition of COVID-19 MESHD from mild to severe illness. Chest computed tomography (CT) images showed that the absorption of bilateral lung lesions synchronized with the recovery of metabolic and inflammatory indicators. Conclusions: Hypoproteinaemia, hypoalbuminemia MESHD, low high-density lipoproteinemia MESHD, and decreased ApoA1 HGNC, CD3+T%, and CD8+T% could predict severity of COVID-19 MESHD. Lymphocyte count, total serum protein, and HDL-C may be potentially useful for the evaluation of COVID-19 MESHD.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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