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Kidney disease is associated with in-hospital death of patients with COVID-19
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Abstract
Abstract Background Information on kidney impairment in patients with coronavirus disease 2019 (COVID-19) is limited. This study aims to assess the prevalence and impact of abnormal urine analysis and kidney dysfunction in hospitalized COVID-19 patients in Wuhan. Methods We conducted a consecutive cohort study of COVID-19 patients admitted in a tertiary teaching hospital with 3 branches following a major outbreak in Wuhan in 2020. Hematuria, proteinuria, serum creatinine concentration and other clinical parameters were extracted from the electronic hospitalization databases and laboratory databases. Incidence rate for acute kidney injury (AKI) was examined during the study period. Association between kidney impairment and in-hospital death was analyzed. Results We included 710 consecutive COVID-19 patients, 89 (12.3%) of whom died in hospital. The median age of the patients was 63 years (inter quartile range, 51-71), including 374 men and 336 women. On admission, 44% of patients have proteinuria hematuria and 26.9% have hematuria, and the prevalence of elevated serum creatinine and blood urea nitrogen were 15.5% and 14.1% respectively. During the study period, AKI occurred in 3.2% patients. Kaplan–Meier analysis demonstrated that patients with kidney impairment have higher risk for in-hospital death. Cox proportional hazard regression confirmed that elevated serum creatinine, elevated urea nitrogen, AKI, proteinuria and hematuria was an independent risk factor for in-hospital death after adjusting for age, sex, disease severity, leukocyte count and lymphocyte count. Conclusions The prevalence of kidney impairment (hematuria, proteinuria and kidney dysfunction) in hospitalized COVID-19 patients was high. After adjustment for confounders, kidney impairment indicators were associated with higher risk of in-hospital death. Clinicians should increase their awareness of kidney impairment in hospitalized COVID-19 patients.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.1 · Cited by 4,326
COVID-19 and the cardiovascular system
Zheng, Y.-Y., Ma, Y.-T., Zhang, J.-Y., & Xie, X. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-020-0360-5 · Cited by 2,970
Critically Ill Patients With 2009 Influenza A(H1N1) Infection in Canada
Kumar, A. (2009) · JAMA · doi:10.1001/jama.2009.1496 · Cited by 1,425
Research works printed but not linked: 16
- Lu, 2020, Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding, Lancet, 395, 556, 10.1016/S0140-6736(20)30251-8 · DOI · Paper page
- Chu, 2005, Acute renal impairment in coronavirus-associated severe acute respiratory syndrome, Kidney Int, 67, 698, 10.1111/j.1523-1755.2005.67130.x · DOI · Paper page
- Tsang, 2003, A cluster of cases of severe acute respiratory syndrome in Hong Kong, N Engl J Med, 48, 1977, 10.1056/NEJMoa030666 · DOI · Paper page
- Betjes, 2013, Immune cell dysfunction and inflammation in end-stage renal disease, Nat Rev Nephrol, 9, 255, 10.1038/nrneph.2013.44 · DOI · Paper page
- Cohen-Hagai, 2016, Upper respiratory tract infection among dialysis patients, Isr Med Assoc J, 18, 557
- Sibbel, 2016, The clinical and economic burden of pneumonia in patients enrolled in Medicare receiving dialysis: a retrospective, observational cohort study, BMC Nephrol, 17, 199, 10.1186/s12882-016-0412-6 · doi:10.1186/s12882-016-0412-6
- Jung, 2011, Acute kidney injury in critically ill patients with pandemic influenza A pneumonia 2009 in Korea: a multicenter study, J Crit Care, 26, 577, 10.1016/j.jcrc.2011.02.012 · DOI
- Vanmassenhove, 2017, Management of patients at risk of acute kidney injury, Lancet, 389, 2139, 10.1016/S0140-6736(17)31329-6 · DOI · Paper page
- Wang, 2020, Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China, JAMA, 323, 1061, 10.1001/jama.2020.1585 · DOI · Paper page
- Ge, 2016, Epidemiology and outcomes of acute kidney injury in elderly Chinese patients: a subgroup analysis from the EACH study, BMC Nephrol, 17, 136, 10.1186/s12882-016-0351-2 · DOI
- Yang, 2015, Acute kidney injury in China: a cross-sectional survey, Lancet, 386, 1465, 10.1016/S0140-6736(15)00344-X · DOI · Paper page
- Xu, 2015, Epidemiology and clinical correlates of AKI in Chinese hospitalized adults, Clin J Am Soc Nephrol, 10, 1510, 10.2215/CJN.02140215 · DOI · Paper page
- Peiris, 2003, Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective study, Lancet, 361, 1767, 10.1016/S0140-6736(03)13412-5 · DOI · Paper page
- Russell, 2020, Clinical evidence does not support corticosteroid treatment for 2019-nCoV lung injury, Lancet, 395, 473, 10.1016/S0140-6736(20)30317-2 · DOI · Paper page
- Shang, 2020, On the use of corticosteroids for 2019-nCoV pneumonia, Lancet, 395, 683, 10.1016/S0140-6736(20)30361-5 · DOI · Paper page
- 2012, KDIGO clinical practice guideline for Acute Kidney Injury, Kidney Int Suppl, 2, 1
Cited by
Extrapulmonary manifestations of COVID-19
Gupta, A., Madhavan, M. V., Sehgal, K., Nair, N., Mahajan, S., Sehrawat, T. S., Bikdeli, B., Ahluwalia, N., Ausiello, J. C., Wan, E. Y., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0968-3 · Cited by 3,185
Acute kidney injury in patients hospitalized with COVID-19
Hirsch, J. S., Ng, J. H., Ross, D. W., Sharma, P., Shah, H. H., Barnett, R. L., Hazzan, A. D., Fishbane, S., Jhaveri, K. D., Abate, M., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.05.006 · Cited by 1,523
Why does COVID-19 disproportionately affect older people?
Mueller, A. L., McNamara, M. S., & Sinclair, D. A. (2020) · Aging · doi:10.18632/aging.103344 · Cited by 1,128
Immune response to SARS‐CoV‐2 and mechanisms of immunopathological changes in COVID‐19
Azkur, A. K., Akdis, M., Azkur, D., Sokolowska, M., van de Veen, W., Brüggen, M., O’Mahony, L., Gao, Y., Nadeau, K., & Akdis, C. A. (2020) · Allergy · doi:10.1111/all.14364 · Cited by 1,119
Cytokine Storm in COVID-19: The Current Evidence and Treatment Strategies
Tang, Y., Liu, J., Zhang, D., Xu, Z., Ji, J., & Wen, C. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01708 · Cited by 1,094
Metadata
- Authors
- Cheng, Y., Luo, R., Wang, K., Zhang, M., Wang, Z., Dong, L., Li, J., Yao, Y., Ge, S., & Xu, G.
- Venue
- Kidney International
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 97
- Issue
- 5
- Pages
- 829-838
- ISSN
- 0085-2538 (ISSN-L)
- OpenAlex
- W3011605790
- Cited by
- 2,941
- References
- 10
- FWCI
- 77.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Funders
- National Natural Science Foundation of China (81670633, 81470948, 81570667, 91742204)
- Tongji Hospital (TJ-C20200132)
- National Key Research and Development Program of China (2016YFC0906103, 2015BAI12B07, 2018YFC1314003-1)
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