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      Chronic kidney disease is associated with severe coronavirus disease 2019 (COVID-19) infection

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      1 , , 2
      International Urology and Nephrology
      Springer Netherlands

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          Abstract

          Editor, As the novel Coronavirus Disease 2019 (COVID-19) outbreak expands, identification of predictive factors for severe infection is essential to enable risk stratification, optimize reallocation of hospital resource, and guide public health recommendations and interventions. Chronic Kidney disease (CKD) is associated with an increased risk of both inpatient and outpatient pneumonia [1]. Moreover, the pneumonia-related mortality rate in CKD patients seems to be 14–16 times higher than in the general population [2]. In this article, we aim to explore the potential association between CKD and severity of COVID-19 infection. A search of electronic databases, based on Medline (PubMed interface), Scopus and Web of Science, was carried out with the keywords “chronic renal disease” OR “chronic kidney disease” OR “clinical characteristics” AND “coronavirus 2019” OR “COVID-19” OR “2019-nCoV” OR “SARS-CoV-2”, between 2019 and present time (i.e., March 9, 2020) with no language restrictions applied. The title, abstract and full text of all articles identified that matched the search criteria were assessed, and those reporting the rate of CKD in COVID-19 patients with clinically validated definition of “severe disease” were included in this meta-analysis. The references of all identified studies were also analyzed (forward and backward citation tracking) to identify other potentially eligible articles. A meta-analysis was performed on retrievable data, including the estimation of the odds ratio (OR) and its 95% confidence interval (95% CI) in patients with or without severe forms of COVID-19. The statistical analysis was performed with MetaXL, software Version 5.3 (EpiGear International Pty Ltd., Sunrise Beach, Australia). The study was carried out in accordance with the Declaration of Helsinki and with the term of local legislation. Overall, 84 articles could be originally detected based on our electronic and reference search which, after screening by title, abstract and full text, 80 were excluded as not specifically related to COVID-19 (n = 25), were review articles (n = 7), did not provide relevant data (n = 28), were editorials (n = 10), did not include information on severity and/or comorbidities (n = 8), compared patients by mortality but not by severity (n = 1), or compared mild to critical cases (n = 1). Therefore, a final number of four studies could be included in our meta-analysis, including 1389 COVID-19 patients, among which 273 (19.7%) were classified as having severe disease [3–6]. The essential characteristics of included studies are summarized in Table 1, whilst the individual and pooled ORs for CKD predicting severe COVID-19 is shown in Fig. 1. No study individually found CKD as significant clinical predictor of severe COVID-19. However, when data of individual studies were pooled, a significant association of CKD with severe COVID-19 was observed, with no relevant heterogeneity [OR 3.03 (95% CI 1.09–8.47), I 2 = 0.0%, Cochran’s Q, p = 0.84]. Table 1 Characteristics of included studies Study Setting Sample size Outcomes Severe patients Non-severe patients n (%) Age (years)a Women (%) n (%) Age (years)a Women (%) Guan W et al. 2020 China 1099 Admission to ICU, MV, death 173 (15.7%) 52 (40–65) 42 926 (84.3%) 45 (34–57) 42 Liu Y et al. 2020 China 12 Respiratory failure, MV 6 (50%) 64 (63–65) 50 6 (50.0%) 44 (35–55) 17 Wang D et al. 2020 China 138 Clinical variables, MV, death 36 (26.1%) 66 (57–78) 39 102 (73.9%) 51 (37–62) 48 Zhang JJ et al. 2020 China 140 Respiratory distress/insufficiency 58 (41.4%) 64 (25–87) 43 82 (58.6%) 52 (26–78) 54 MV mechanical ventilation, ICU intensive care unit aAge data presented as median (IQR) Fig. 1 Forest plot of demonstrating association of chronic kidney disease with severe COVID-19 disease Based on a contrite meta-analysis of early and preliminarily available data, CKD seems to be associated with enhanced risk of severe COVID-19 infection. Patients with CKD should hence be advised to take extra precaution to minimize risk exposure to the virus. Physicians should also be engaged in close monitoring of CKD patients with suspected COVID-19, for timely detecting signs of disease progression. Finally, the presence of CKD shall be regarded as an important factor in future risk stratification models for COVID-19.

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          Clinical Characteristics of Coronavirus Disease 2019 in China

          Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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            Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

            In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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              Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury

              The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan, Hubei province, and rapidly spread to many provinces in China as well as other countries. Here we report the epidemiological, clinical, laboratory, and radiological characteristics, as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen, China. All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS). The most common laboratory abnormalities were hypoalbuminemia, lymphopenia, decreased percentage of lymphocytes (LYM) and neutrophils (NEU), elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH), and decreased CD8 count. The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity. ALB, LYM, LYM (%), LDH, NEU (%), and CRP were highly correlated to the acute lung injury. Age, viral load, lung injury score, and blood biochemistry indexes, albumin (ALB), CRP, LDH, LYM (%), LYM, and NEU (%), may be predictors of disease severity. Moreover, the Angiotensin II level in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury. Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection. Electronic Supplementary Material Supplementary material is available for this article at 10.1007/s11427-020-1643-8 and is accessible for authorized users.
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                Author and article information

                Contributors
                Brandon.henry@cchmc.org
                Journal
                Int Urol Nephrol
                Int Urol Nephrol
                International Urology and Nephrology
                Springer Netherlands (Dordrecht )
                0301-1623
                1573-2584
                28 March 2020
                : 1-2
                Affiliations
                [1 ]GRID grid.239573.9, ISNI 0000 0000 9025 8099, Cardiac Intensive Care Unit, The Heart Institute, , Cincinnati Children’s Hospital Medical Center, ; 3333 Burnet Avenue, Cincinnati, OH 45229 USA
                [2 ]GRID grid.5611.3, ISNI 0000 0004 1763 1124, Section of Clinical Biochemistry, Department of Neuroscience, Biomedicine and Movement, , University of Verona, ; Verona, Italy
                Article
                2451
                10.1007/s11255-020-02451-9
                7103107
                31583581
                86ec8c0d-e917-4979-a20c-056f7f2ff212
                © Springer Nature B.V. 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 11 March 2020
                : 22 March 2020
                Categories
                Nephrology - Letter to the Editor

                Nephrology
                Nephrology

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