Zhe Zhu1,2, Yayun Yang2,3, Lingyan Fan2,4, Shuyuan Ye2,3, Kehong Lou2,3, Xin Hua2,3, Zuoan Huang2,5, Qiaoyun Shi2,5, Guosheng Gao2,3. 1. Department of Blood Transfusion, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China. 2. Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China. 3. Department of Clinical Laboratory, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China. 4. Department of Acute Infectious Diseases, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China. 5. Department of Experimental Medical Science, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Abstract
BACKGROUND: Dyslipidemia has been observed in patients with coronavirus disease 2019 (COVID-19). This study aimed to investigate blood lipid profiles in patients with COVID-19 and to explore their predictive values for COVID-19 severity. METHODS: A total of 142 consecutive patients with COVID-19 were included in this single-center retrospective study. Blood lipid profile characteristics were investigated in patients with COVID-19 in comparison with 77 age- and gender-matched healthy subjects, their predictive values for COVID-19 severity were analyzed by using multivariable logistic regression analysis, and their prediction efficiencies were evaluated by using receiver operator characteristic (ROC) curves. RESULTS: There were 125 and 17 cases in the non-severe and severe groups, respectively. Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein A1 (ApoA1) gradually decreased across the groups in the following order: healthy controls, non-severe group, and severe group. ApoA1 was identified as an independent risk factor for COVID-19 severity (adjusted odds ratio [OR]: 0.865, 95% confidence interval [CI]: 0.800-0.935, p < 0.001), along with interleukin-6 (IL-6) (adjusted OR: 1.097, 95% CI: 1.034-1.165, p = 0.002). ApoA1 exhibited the highest area under the ROC curve (AUC) among all single markers (AUC: 0.896, 95% CI: 0.834-0.941); moreover, the risk model established using ApoA1 and IL-6 enhanced prediction efficiency (AUC: 0.977, 95% CI: 0.932-0.995). CONCLUSION: Blood lipid profiles in patients with COVID-19 are quite abnormal compared with those in healthy subjects, especially in severe cases. Serum ApoA1 may represent a good indicator for predicting the severity of COVID-19.
BACKGROUND:Dyslipidemia has been observed in patients with coronavirus disease 2019 (COVID-19). This study aimed to investigate blood lipid profiles in patients with COVID-19 and to explore their predictive values for COVID-19 severity. METHODS: A total of 142 consecutive patients with COVID-19 were included in this single-center retrospective study. Blood lipid profile characteristics were investigated in patients with COVID-19 in comparison with 77 age- and gender-matched healthy subjects, their predictive values for COVID-19 severity were analyzed by using multivariable logistic regression analysis, and their prediction efficiencies were evaluated by using receiver operator characteristic (ROC) curves. RESULTS: There were 125 and 17 cases in the non-severe and severe groups, respectively. Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein A1 (ApoA1) gradually decreased across the groups in the following order: healthy controls, non-severe group, and severe group. ApoA1 was identified as an independent risk factor for COVID-19 severity (adjusted odds ratio [OR]: 0.865, 95% confidence interval [CI]: 0.800-0.935, p < 0.001), along with interleukin-6 (IL-6) (adjusted OR: 1.097, 95% CI: 1.034-1.165, p = 0.002). ApoA1 exhibited the highest area under the ROC curve (AUC) among all single markers (AUC: 0.896, 95% CI: 0.834-0.941); moreover, the risk model established using ApoA1 and IL-6 enhanced prediction efficiency (AUC: 0.977, 95% CI: 0.932-0.995). CONCLUSION: Blood lipid profiles in patients with COVID-19 are quite abnormal compared with those in healthy subjects, especially in severe cases. Serum ApoA1 may represent a good indicator for predicting the severity of COVID-19.
Authors: Yasser O Mosaad; Mohamed A Baraka; Ahmed E Abou Warda; Hayam Ateyya; Mohammed A Hussein; Sayed Gaber Journal: Drugs Ther Perspect Date: 2022-06-27
Authors: Gabriella Captur; James C Moon; Constantin-Cristian Topriceanu; George Joy; Leo Swadling; Jenny Hallqvist; Ivan Doykov; Nina Patel; Justyna Spiewak; Tomas Baldwin; Matt Hamblin; Katia Menacho; Marianna Fontana; Thomas A Treibel; Charlotte Manisty; Ben O'Brien; Joseph M Gibbons; Corrina Pade; Tim Brooks; Daniel M Altmann; Rosemary J Boyton; Áine McKnight; Mala K Maini; Mahdad Noursadeghi; Kevin Mills; Wendy E Heywood Journal: EBioMedicine Date: 2022-09-27 Impact factor: 11.205