Literature DB >> 32279905

Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Renal Failure Patients: A Potential Covert Source of Infection.

Yu Xiao1, Kaiyu Qian2, Yongwen Luo1, Song Chen1, Mengxin Lu1, Gang Wang3, Lingao Ju3, Xinghuan Wang4.   

Abstract

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Year:  2020        PMID: 32279905      PMCID: PMC7146684          DOI: 10.1016/j.eururo.2020.03.025

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


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COVID-19, a highly infective disease caused by a newly identified coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; previously 2019-nCoV), is spreading around the world [1]. Increasing evidence has confirmed the human-to-human transmission. A special group of COVID-19 patients is comorbid with chronic kidney disease (CKD) [2]. In patients with CKD, innate and adaptive immune function impairment would result in increased susceptibility to bacterial and viral infections. Therefore, SARS-CoV-2 infection of these dialysis patients has attracted our attention.

High risk

As reported in our previous study, 41.30% of COVID-19 patients were likely infected in hospital. Most renal failure patients were immunocompromised due to uremia and needed routine dialysis in hospital two to three times per week. Therefore, renal failure patients should be more susceptible to SARS-CoV-2 than the normal population. We noticed that, as chest computed tomography scans show, approximately 20–30% of dialysis patients were diagnosed with suspected infection in multiple dialysis centers in the early period of COVID-19 outbreak. Intriguingly, most of these suspected cases have no obvious clinical symptoms, including fever, fatigue, and dry cough. However, these asymptomatic patients may be a potential source of infection, transmitting the virus to healthcare providers, their family members, and other patients. Therefore, SARS-CoV-2 infection in dialysis patients should be taken more seriously due to a high risk of asymptomatic transmission.

Diagnosis

Healthcare-associated pneumonia is a common infectious problem encountered in hemodialysis patients [3], [4]. Moreover, many dialysis patients suffer concurrently from pulmonary edema, which may mimic pneumonia, in terms of both presenting with an abnormal chest radiograph and producing a similar clinical symptom. Nucleic acid test could provide a valuable support, but the sensitivity of the current nucleic acid tests needs to be improved. Given all of the above, the precise diagnosis of COVID-19 infection is more difficult in dialysis patients than in the normal population.

Treatment

Another concern is the pharmacokinetics in these renal failure patients. Many antiviral drugs are eliminated by hepatic metabolism and renal excretion. There are few studies on the pharmacokinetics of antiviral drugs in patients with renal dysfunction. In addition, hemodialysis could take away some drugs and reduce their concentration in the blood. Taken together, an adjusted or even supplemental dose of those antiviral drugs should be administered. In addition, a previous study has indicated that renal dysfunction in patients with pneumonia is associated with a risk of severe infection [5]. A higher mortality rate should be observed in renal failure patients infected with the coronavirus. Indeed, SARS-CoV-2 infection can induce acute renal injury, and this might superimpose the patient with an underlying renal problem [2]. In conclusion, SARS-CoV-2 infection should be monitored intensively for dialysis patients due to immunorepression, difficulty in diagnosis, and additional concern regarding the use of antiviral drugs. Our report should prompt experts and medical workers to pay special attention to the SARS-CoV-2 infection of dialysis patients. This work was supported by the grant from the Medical Science Advancement Program of Wuhan University (TFLC2018002). The authors have nothing to disclose.
  4 in total

Review 1.  Immune cell dysfunction and inflammation in end-stage renal disease.

Authors:  Michiel G H Betjes
Journal:  Nat Rev Nephrol       Date:  2013-03-19       Impact factor: 28.314

Review 2.  What is healthcare-associated pneumonia and how is it managed?

Authors:  Jordi Carratalà; Carolina Garcia-Vidal
Journal:  Curr Opin Infect Dis       Date:  2008-04       Impact factor: 4.915

3.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

4.  Middle East respiratory syndrome coronavirus: a case-control study of hospitalized patients.

Authors:  Jaffar A Al-Tawfiq; Kareem Hinedi; Jihad Ghandour; Hanan Khairalla; Samir Musleh; Alaa Ujayli; Ziad A Memish
Journal:  Clin Infect Dis       Date:  2014-04-09       Impact factor: 9.079

  4 in total
  3 in total

1.  Reply to Peng He, Xiaohui Wang, and Hao Li's Letter to the Editor re: Yu Xiao, Kaiyu Qian, Yongwen Luo, et al. Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Renal Failure Patients: A Potential Covert Source of Infection. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2020.03.025.

Authors:  Yu Xiao; Kaiyu Qian; Yongwen Luo; Song Chen; Mengxin Lu; Gang Wang; Lingao Ju; Xinghuan Wang
Journal:  Eur Urol       Date:  2020-05-13       Impact factor: 20.096

2.  Re: Yu Xiao, Kaiyu Qian, Yongwen Luo, et al. Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Renal Failure Patients: A Potential Covert Source of Infection. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2020.03.025.

Authors:  Peng He; Xiaohui Wang; Hao Li
Journal:  Eur Urol       Date:  2020-04-23       Impact factor: 20.096

3.  Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management.

Authors:  Mohammad Masum; M A Masud; Muhaiminul Islam Adnan; Hossain Shahriar; Sangil Kim
Journal:  Socioecon Plann Sci       Date:  2022-01-29       Impact factor: 4.641

  3 in total

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