Literature DB >> 33339813

Clinical Characteristics and Risk Factors in Coronavirus Disease 2019 Patients with Liver Injury.

Dali Zhang1, Zhenyu Zhu1, Jingfeng Bi2, Danni Feng1, Lijuan Zhang1, Hongling Liu1, Yinjie Gao1.   

Abstract

BACKGROUND Emerging studies noted that liver injury in coronavirus disease 2019 (COVID-19) patients may be induced by virus-mediated inflammation, which was confirmed by liver pathology. The aim of this study was to observe clinical characteristics and explore risk factors in COVID-19 patients with liver injury. MATERIAL AND METHODS In this retrospective study, 40 confirmed COVID-19 patients with normal alanine transaminase (ALT) on admission were divided into a group of normal ALT patients whose ALT was always less than 40 U/l during hospitalization and a group of elevated ALT patients whose ALT was at least once more than 40 U/l after admission. Clinical data, especially virus-induced inflammatory parameters, were analyzed for risk factors and predictive value. The Mann-Whitney U test and t test for comparing means and logistic regression were performed for analysis of risk factors. Area under the ROC curve was used for predictive values. RESULTS Sixteen of 40 (40.0%) patients developed elevated ALT, many of them with more severe COVID-19. The highest ALT level was 101 U/l. The risk factors for liver injury were C-reactive protein (CRP), interleukin 6 (IL6), erythrocyte sedimentation rate (ESR), CD8+T cell count, and severity of disease, and CRP (OR 1.13, 95% CI 1.045-1.222, p=0.002) was the independent risk factor. CONCLUSIONS Liver injury in COVID-19 patients was mild and associated with inflammatory markers, especially CRP, which suggests that liver injury may be induced by virus-mediated inflammation in COVID-19 patients.

Entities:  

Year:  2020        PMID: 33339813     DOI: 10.12659/MSM.928849

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


  1 in total

1.  Serum ferritin as a predictive biomarker in COVID-19. A systematic review, meta-analysis and meta-regression analysis.

Authors:  Karanvir Kaushal; Hardeep Kaur; Phulen Sarma; Anusuya Bhattacharyya; Dibya Jyoti Sharma; Manisha Prajapat; Mona Pathak; Ashish Kothari; Subodh Kumar; Satyavati Rana; Manpreet Kaur; Ajay Prakash; Anissa Atif Mirza; Prasan Kumar Panda; S Vivekanandan; Balram Ji Omar; Bikash Medhi; Manisha Naithani
Journal:  J Crit Care       Date:  2021-11-20       Impact factor: 3.425

  1 in total

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