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      Impact of renal disease and comorbidities on mortality in hemodialysis patients with COVID-19: a multicenter experience from Germany

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      1 , 1 , 2 , 1 , 3 , 1 , , The COVID Dialysis Working Group
      Journal of Nephrology
      Springer International Publishing

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          Abstract

          There is an increasing number of reports on the clinical course of Coronavirus disease 2019 (COVID-19) in hemodialysis patients [1–4]. On this background, we would like to report data on a large multicenter cohort of hemodialysis patients with COVID-19 in Germany, which demonstrates an inverse distribution of mild and severe courses compared to the general population. Through the analysis of the impact of underlying renal disease and cardiovascular comorbidities on adverse outcome, we could identify cardiorenal syndrome as an outstanding risk factor for death. Since the first cases of pneumonia of unknown origin were reported in December 2019 in Wuhan, knowledge on SARS-CoV-2 and COVID-19 is rapidly expanding. Preexisting cardiovascular disease, diabetes, hypertension, and chronic kidney disease were identified as risk factors for severe disease and mortality [5–7]. Thus, the hemodialysis population may be at outstanding risk for a severe course of COVID-19. Moreover, hemodialysis centers are prone to SARS-CoV-2 transmission. Patients have to refer to the outpatient facility three times per week to undergo dialysis and are thereby limited in their ability to social distance. As expected, mortality rates were substantially higher than in the general population, ranging from 18.9 (Wuhan) to 52% (Lombardy) [1, 2]. Interestingly, the causes of death were frequently not directly related to pneumonia but to cardiovascular or cerebrovascular disease [1]. Although there was a shift to more critical courses of COVID-19, the spectrum of severity of COVID-19 was similar to the general population including several asymptomatic patients. It remains elusive which hemodialysis patients are at increased risk for adverse outcome. We would therefore like to add to the present knowledge by reporting on the clinical characterization of COVID-19 in hemodialysis patients in Germany and identifying risk factors for adverse outcome. Five hemodialysis outpatient centers in Germany were contacted in April 2020 and asked to participate in the analysis. All of them agreed and provided clinical data of their hemodialysis patients with COVID-19 from February to April 2020. Data collection was performed by nephrologists from the outpatient centers and included both outpatient data and in-hospital data; analysis was centralized at a University Hospital (Ruhr-University Bochum). Data comprised course of the disease, stratified as "mild", "severe", "critical", or "fatal". The disease was considered as "mild" if it was successfully managed in an outpatient setting, "severe" if it needed hospitalization, "critical" in case of transfer to an intensive care unit, and "fatal" in case of death. Intensive care medicine was offered to all patients with a medical indication. Information on the following symptoms was retrieved: fever, cough, dyspnea, dysgeusia, anosmia, diarrhea. Information on cause of end-stage kidney disease (ESRD), preexisting comorbidities and immunosuppression was also obtained. Associations of underlying renal diseases and comorbidities with mortality were analyzed by Chi-squared tests and univariate analyses providing odds ratios (OR) and 95% confidence intervals (CI). Fifty-six patients tested positive for SARS-CoV-2 by RT-PCR (SARS-CoV-2 RT-PCR Kit 1.0 from Altona Diagnostics, Hamburg) in either nasopharyngeal swab test or bronchoalveolar lavage. The overall number of patients on chronic hemodialysis in the five centers was 755 with a median age of 67 years, yielding an incidence of 7.4%. At that point of the pandemic RT-PCR tests were routinely performed in symptomatic patients, whereas asymptomatic cases were tested only in case of contact with a person with COVID-19. Median age of the infected subjects was 76.0 years (IQR 69.0–82.8); 23 (41.1%) were female, 33 (58.9%) were male. Mean dialysis vintage was 37.5 months (IQR 18.3–93.0) with diabetic nephropathy being the most frequent cause of ESRD followed by nephrosclerosis, glomerulonephritis, and cardiorenal syndrome. 76.8%/ Seventy-six point eight%??? Jaya-depending on journal policy for beginning sentences with numbers? of the COVID-19 population was hypertensive, 37.5% suffered from coronary artery disease, and 44.6% were diabetic. The renal diseases and comorbidities are summarized in Table 1. Table 1 Renal diseases and comorbidities of the study population and their association with mortality Patients positive for COVID 19 Deceased patients vs. survivors (chi-squared test) Association with mortality in univariate analysis Deceased (n = 15) Survivors (n = 41) p OR (95% CI) 95% CI Cause of ESRD  Diabetic nephropathy 15 (26.8%) 2 13 0.17 0.331 0.065–1.687  Hypertension/nephrosclerosis 11 (19.6%) 4 7 0.42 1.766 0.434–7.191  Glomerulonephritis 7 (12.5%) 0 7 0.09 0.829 0.722–0.953  Cystic kidney disease 4 (7.1%) 2 2 0.28 3.000 0.083–23.491  Cardiorenal syndrome 6 (10.7%) 5 1 0.001 20.000 2.095–190.913  Others 13 (23.2%) 2 11 0.29 0.420 0.081–2.166  Comorbidities  Hypertension 43 (76.8%) 9 34 0.07 0.309 0.083–1.150  Diabetes 25 (44.6%) 7 18 0.85 1.118 0.341–3.665  Coronary artery disease 21 (37.5%) 5 16 0.70 0.781 0.225–2.709  Need for immunosuppression 5 (8.9%) 3 2 0.48 1.949 0.292–12.987 Value in bold is significant (p < 0.05) The overall hemodialysis population of the five centers comprised 755 patients yielding a COVID-19 incidence of 7.4% in the observation period ESRD End stage renal disease, OR odds ratio, CI confidence interval The most frequent symptom of COVID-19 was fever (n = 31, 55.4%), followed by cough (n = 26, 46.4%). Data on diarrhea and anosmia/dysgeusia were not available for the overall study population. Among those with available data, diarrhea occurred in 19.6% and anosmia/dysgeusia in 13.5%. In 13 patients (23.2%), the disease was successfully managed in an outpatient setting (mild course). Hospitalization was necessary in 43 patients (76.8%). Of these hospitalized patients, 16 (28.6%) were transferred to the intensive care unit. 15/Fifteen—Jaya—depending on journal policy for beginning sentences with numbers? patients died from COVID-19. Thus, 23.2% showed a mild, 35.7% a severe, 14.3% a critical, and 26.8% a fatal course (Fig. 1). Fig. 1 Clinical course of COVID-19 in the population of hemodialysis patients Patients who died after infection with SARS-CoV-2 had a median age of 77 years (IQR 72–85) and were predominantly male (n = 11, 73.3%). Cardiorenal syndrome was associated with a significantly increased risk of mortality in a univariate analysis (OR 20, 95% CI 2.095–190.913), whereas glomerulonephritis was associated with a slightly decreased risk (OR 0.829, 0.722–0.953). Due to the low number of deceased patients, confidence intervals were large. Among the six patients with cardiorenal syndrome, five died. None of the comorbidities including hypertension, diabetes, coronary artery disease, or need for immunosuppression showed a significant association with mortality. Hypertension, however, tended to be inversely associated with death (p = 0.07). Accordingly, mortality was lower in those subjects with (20.9%) than without hypertension (46.1%). In this multicenter cohort of hemodialysis patients with COVID-19, severe courses and mortality were substantially increased compared to the general population affected by COVID-19 in Germany. Whereas in this country the course was mild in > 80% of the general population [8], almost 80% of our hemodialysis population showed a severe to fatal course, with an “inverse distribution” of COVID-19 severity in the present hemodialysis patients as compared to the general population. Beyond ESRD itself, age and comorbidities are likely to contribute to this finding. Among hemodialysis patients in our series, those with cardiorenal syndrome displayed the highest risk for death due to COVID-19. While the small number of cases requires further confirmation, it may be mentioned that our patients suffered from cardiorenal syndrome type 2; these patients overall have an extremely poor prognosis and suffer from resistance to diuretics. One-year mortality of patients with cardiorenal syndrome and moderate to severe kidney function impairment is approximately 50% [9]. Due to the limited cardiac reserve, blood pressure frequently turns from hyper- to hypotension, and this phenomenon may explain the finding of an inverse association of hypertension with fatal outcome. The present analysis confirms that also in Germany, a country initially spared by the COVID-19 epidemic, the clinical course of COVID-19 is substantially more severe in hemodialysis patients than in the general population, and only 23% of the dialysis patients have a mild course of the disease. Among this high risk group, patients with cardiorenal syndrome and decreased blood pressure have the highest risk of death. Nephrologists should be aware of these findings in order to guarantee extended testing and early hospitalization in case of symptoms of COVID-19 pneumonia.

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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 course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

            Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.
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              Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention

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                Author and article information

                Contributors
                Timm.Westhoff@elisabethgruppe.de
                Journal
                J Nephrol
                J. Nephrol
                Journal of Nephrology
                Springer International Publishing (Cham )
                1121-8428
                1724-6059
                17 August 2020
                17 August 2020
                : 1-4
                Affiliations
                [1 ]GRID grid.459734.8, Medical Department I, , University Hospital Marien Hospital Herne, Ruhr-University Bochum, ; Hölkeskampring 40, 44625 Herne, Germany
                [2 ]Dialysezentrum Hamm, Hamm, Germany
                [3 ]GRID grid.5570.7, ISNI 0000 0004 0490 981X, Center for Translational Medicine, , University Hospital Marien Hospital Herne, Ruhr-University Bochum, ; Bochum, Germany
                Article
                828
                10.1007/s40620-020-00828-8
                7429939
                32804355
                205248ba-51b6-4a91-857c-d7ddbb0b11fb
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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                Funded by: Ruhr-Universität Bochum (1007)
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