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Xia T, Zhang W, Xu Y, Wang B, Yuan Z, Wu N, Xiang Y, Li C, Shan Y, Xie W, Wang Y, Zhang Y, Bai L, Li Y. Early kidney injury predicts disease progression in patients with COVID-19: a cohort study. BMC Infect Dis 2021; 21:1012. [PMID: 34579666 PMCID: PMC8474921 DOI: 10.1186/s12879-021-06576-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 08/13/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The receptor of severe respiratory syndrome coronavirus 2 (SARS-CoV-2), angiotensin-converting enzyme 2, is more abundant in kidney than in lung tissue, suggesting that kidney might be another important target organ for SARS-CoV-2. However, our understanding of kidney injury caused by Coronavirus Disease 2019 (COVID-19) is limited. This study aimed to explore the association between kidney injury and disease progression in patients with COVID-19. METHODS A retrospective cohort study was designed by including 2630 patients with confirmed COVID-19 from Huoshenshan Hospital (Wuhan, China) from 1 February to 13 April 2020. Kidney function indexes and other clinical information were extracted from the electronic medical record system. Associations between kidney function indexes and disease progression were analyzed using Cox proportional-hazards regression and generalized linear mixed model. RESULTS We found that estimated glomerular filtration rate (eGFR) and creatinine clearance (Ccr) decreased in 22.0% and 24.0% of patients with COVID-19, respectively. Proteinuria was detected in 15.0% patients and hematuria was detected in 8.1% of patients. Hematuria (HR 2.38, 95% CI 1.50-3.78), proteinuria (HR 2.16, 95% CI 1.33-3.51), elevated baseline serum creatinine (HR 2.84, 95% CI 1.92-4.21) and blood urea nitrogen (HR 3.54, 95% CI 2.36-5.31), and decrease baseline eGFR (HR 1.58, 95% CI 1.07-2.34) were found to be independent risk factors for disease progression after adjusted confounders. Generalized linear mixed model analysis showed that the dynamic trajectories of uric acid was significantly related to disease progression. CONCLUSION There was a high proportion of early kidney function injury in COVID-19 patients on admission. Early kidney injury could help clinicians to identify patients with poor prognosis at an early stage.
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Affiliation(s)
- Tingting Xia
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Wenjing Zhang
- Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China
| | - Yu Xu
- Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China
| | - Bin Wang
- Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China
| | - Zhiquan Yuan
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Na Wu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Ying Xiang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Chengying Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Yifan Shan
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Weijia Xie
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Youhao Wang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Yao Zhang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China
| | - Li Bai
- Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), NO.30 Gaotanyan Street, Chongqing, 400038, People's Republic of China.
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Qu J, Zhu HH, Huang XJ, He GF, Liu JY, Huang JJ, Chen Y, Qu Q, Wu YL, Chen XY, Lu Q. Abnormal Indexes of Liver and Kidney Injury Markers Predict Severity in COVID-19 Patients. Infect Drug Resist 2021; 14:3029-3040. [PMID: 34408447 PMCID: PMC8364353 DOI: 10.2147/idr.s321915] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 07/21/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND SARS-CoV-2 can damage not only the lungs but also the liver and kidney. Most critically ill patients with coronavirus disease 2019 (COVID-19) have liver and kidney dysfunction. We aim to investigate the levels of liver and kidney function indexes in mild and severe COVID-19 patients and their capability to predict the severity of the disease. METHODS The characteristics and laboratory indexes were compared between patients with different conditions. We applied binary logistic regression to find the independent risk factors of severe patients. Receiver operating characteristic (ROC) analysis was used to predict the severity of COVID-19 using the liver and kidney function indexes. RESULTS This study enrolled 266 COVID-19 patients, including 235 mild patients and 31 severe patients. Compared with mild patients, severe patients had lower albumin (ALB) and higher alanine aminotransferase (ALT), aspartate aminotransferase (AST), and urea nitrogen (BUN) (all p<0.001). Binary logistic regression analysis also identified ALB [OR=0.273 (0.079-0.947), p=0.041] and ALT [OR=2.680 (1.036-6.934), p=0.042] as independent factors of severe COVID-19 patients. Combining ALB, ALT, BUN, and LDH exhibited the area under ROC at 0.914, with a sensitivity of 86.7% and specificity of 83.0%. CONCLUSION COVID-19 patients, especially severe patients, have damage to liver and kidney function. ALT, AST, LDH, and BUN could be independent factors for predicting the severity of COVID-19. Combining the ALB, ALT, BUN, and LDH could predict the transition from mild to severe in COVID-19 patients.
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Affiliation(s)
- Jian Qu
- Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People’s Republic of China
| | - Hai-Hong Zhu
- Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People’s Republic of China
| | - Xue-Jian Huang
- Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People’s Republic of China
| | - Ge-Fei He
- Department of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People’s Republic of China
| | - Ji-Yang Liu
- Department of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People’s Republic of China
| | - Juan-Juan Huang
- Department of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People’s Republic of China
| | - Ying Chen
- Department of Pharmacy, Wuhan University, Renmin Hospital, Wuhan, 430060, People’s Republic of China
| | - Qiang Qu
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410007, People’s Republic of China
| | - Ya-Li Wu
- Department of Pharmacy, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, People’s Republic of China
| | - Xiang-Yu Chen
- Department of Radiology, the Second Xiangya Hospital, Central South University, Changsha, 410011, People’s Republic of China
| | - Qiong Lu
- Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People’s Republic of China
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