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肥胖相关性肝脂肪变性、躯体发育轴损害和铁蛋白水平是 COVID-19 严重程度的强有力预测指标。

Obesity-Associated Hepatic Steatosis, Somatotropic Axis Impairment, and Ferritin Levels Are Strong Predictors of COVID-19 Severity.

机构信息

Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy.

Department of Radiology, Anatomo-Pathology and Oncology, Sapienza University of Rome, 00185 Rome, Italy.

出版信息

Viruses. 2023 Feb 9;15(2):488. doi: 10.3390/v15020488.

DOI:10.3390/v15020488
PMID:36851702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9968194/
Abstract

The full spectrum of SARS-CoV-2-infected patients has not yet been defined. This study aimed to evaluate which parameters derived from CT, inflammatory, and hormonal markers could explain the clinical variability of COVID-19. We performed a retrospective study including SARS-CoV-2-infected patients hospitalized from March 2020 to May 2021 at the Umberto I Polyclinic of Rome. Patients were divided into four groups according to the degree of respiratory failure. Routine laboratory examinations, BMI, liver steatosis indices, liver CT attenuation, ferritin, and IGF-1 serum levels were assessed and correlated with severity. Analysis of variance between groups showed that patients with worse prognoses had higher BMI and ferritin levels, but lower liver density, albumin, GH, and IGF-1. ROC analysis confirmed the prognostic accuracy of IGF-1 in discriminating between patients who experienced death/severe respiratory failure and those who did not (AUC 0.688, CI: 0.587 to 0.789, < 0.001). A multivariate analysis considering the degrees of severity of the disease as the dependent variable and ferritin, liver density, and the standard deviation score of IGF-1 as regressors showed that all three parameters were significant predictors. Ferritin, IGF-1, and liver steatosis account for the increased risk of poor prognosis in COVID-19 patients with obesity.

摘要

SARS-CoV-2 感染患者的全貌尚未确定。本研究旨在评估哪些源自 CT、炎症和激素标志物的参数可解释 COVID-19 的临床变异性。我们进行了一项回顾性研究,纳入了 2020 年 3 月至 2021 年 5 月期间在罗马翁贝托一世综合医院住院的 SARS-CoV-2 感染患者。根据呼吸衰竭的严重程度将患者分为四组。评估了常规实验室检查、BMI、肝脂肪变性指数、肝 CT 衰减、铁蛋白和 IGF-1 血清水平,并与严重程度相关联。组间方差分析表明,预后较差的患者 BMI 和铁蛋白水平较高,但肝密度、白蛋白、GH 和 IGF-1 水平较低。ROC 分析证实 IGF-1 区分死亡/严重呼吸衰竭患者和未发生此类情况患者的预后准确性(AUC 0.688,CI:0.587 至 0.789, < 0.001)。将疾病严重程度视为因变量,将铁蛋白、肝密度和 IGF-1 标准差评分作为回归因子进行的多变量分析显示,这三个参数均为显著预测因子。铁蛋白、IGF-1 和肝脂肪变性会增加肥胖 COVID-19 患者不良预后的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1457/9968194/f820ec96ded9/viruses-15-00488-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1457/9968194/f820ec96ded9/viruses-15-00488-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1457/9968194/f820ec96ded9/viruses-15-00488-g001.jpg

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本文引用的文献

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FXR inhibition may protect from SARS-CoV-2 infection by reducing ACE2.法尼醇 X 受体(FXR)抑制可能通过降低 ACE2 来预防严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染。
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遗传预测的高 IGF-1 水平对 COVID-19 易感性和住院率有保护作用:一项基于 25 个国家 60 项研究数据的孟德尔随机化研究。
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Diet-Induced Obesity and NASH Impair Disease Recovery in SARS-CoV-2-Infected Golden Hamsters.饮食诱导的肥胖和 NASH 损害感染 SARS-CoV-2 的金黄地鼠的疾病恢复。
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Ferritin as a predictive biomarker of severity in Covid-19.铁蛋白作为新冠病毒严重程度的预测性生物标志物。
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