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      Incidence of acute kidney injury in COVID-19 infection: a systematic review and meta-analysis

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          Abstract

          Coronavirus disease 2019 (COVID-19), primarily affecting respiratory systems, has become pandemic and spread worldwide. Acute kidney injury (AKI) has been reported as a severe complication of COVID-19 with a higher risk of mortality [1], but the incidence of AKI among those infected with COVID-19 is currently only based on reports from small case series and retrospective studies [2, 3]. Therefore, in this work, we aim to perform a systematic review and meta-analysis of published articles to quantify the incidence of AKI in COVID-19 patients. We performed a systematic search via PUBMED and EMBASE using the keywords “COVID-19” and “acute kidney injury” to identify relevant observational studies, such as case series and cohort studies published between 2019 and May 11, 2020. We also manually examined the reference lists of included studies and reviewed the AKI reports in epidemiological features and clinical courses of COVID-19 patients in high-profile general medicine journals (e.g., BMJ, JAMA, Lancet, and NEJM). Two independent reviewers (YTC and SCS) assessed articles, including title, abstract, and full text to determine whether studies were eligible for inclusion. In cases of divergences, results were discussed with a third reviewer (YCC). All statistical analyses were performed using MedCalc for Windows, version 15.0 (MedCalc Software, Ostend, Belgium). The incidence of AKI is expressed as proportion and 95% confidence interval (CI) using the random effects model and presented as a forest plot. We used the Cochran Q test to detect heterogeneity among studies, with a p value < 0.10 indicating significant heterogeneity. We calculated I 2 statistic to measure the proportion of total variation in study estimates attributed to heterogeneity. Of 65 articles screened, we excluded 45: 7 studies were duplicates, 8 studies were irrelevant, 9 studies failed to report the number of patients in the study cohort, and 21 studies did not report AKI data. Our final analysis included 20 articles comprising 6945 patients from China, Italy, the UK, and the USA. Demographic data for the included articles are summarized in Table 1. Notably, most of the studies (80%) were reported from China. We found the incidence of AKI was 8.9% (95% CI 4.6–14.5) in COVID-19 patients, but there was evidence of statistical heterogeneity among the studies with I 2 = 97.8% and p < 0.001 (Fig. 1). Table 1 Study characteristics Author and year City/country Male (%) Age (median)* Settings Patients with kidney transplantation (%) Mechanical ventilation (%) RRT (%) ARDS (%) Overall mortality (%) Alberici 2020 [4] Brescia/Italy 80 59 Hospitalization 100 10 5 55 25 Arentz 2020 [5] Washington/USA 52 70 ICU NR 71 NR 95 52 Banerjee 2020 [6] London/UK 57 54 Hospitalization 100 29 43 29 14 Chen 2020 [7] Wuhan/China 68 56 Hospitalization NR 4 9 17 11 Chen 2020 [8] Wuhan/China 62 62 Hospitalization NR 6 1 72 41 Cheng 2020 [9] Wuhan/China 52 63 Hospitalization NR 14 NR NR 16 Deng 2020 [10] Wuhan/China 55 54 Hospitalization NR 9 NR 48 48 Guan 2020 [11] Wuhan/China 58 47 Hospitalization NR 2 1 3 1 Guo 2020 [12] Wuhan/China 49 59 Hospitalization NR 24 NR 25 23 Huang 2020 [13] Wuhan/China 73 49 Hospitalization NR 10 7 29 15 Lei 2020 [14] Wuhan/China 41 55 Hospitalization NR 15 3 32 21 Richardson 2020 [15] New York/USA 60 63 Hospitalization NR 12 3 NR 21 Shi 2020 [16] Wuhan/China 49 64 Hospitalization NR 8 1 23 14 Wang 2020 [17] Wuhan/China 58 54 Hospitalization NR NR NR 10 6 Wang 2020 [18] Wuhan/China 54 56 Hospitalization NR 12 1 20 4 Wang 2020 [19] Wuhan/China 53 51 Hospitalization NR 19 NR 26 18 Yang 2020 [20] Wuhan/China 67 60 ICU NR 42 17 67 62 Zhang 2020 [21] Wuhan/China 49 55 Hospitalization NR 12 2 22 5 Zhang 2020 [22] Zhejiang/China 51 45 Hospitalization NR 1 0 2 NR Zhou 2020 [23] Wuhan/China 62 56 Hospitalization NR 17 5 31 28 *In studies not reporting the median, age would be represented by the mean ARDS acute respiratory distress syndrome, ICU intensive care unit, NR not reported, RRT renal replacement therapy Fig. 1 Forest plot of pooled incidence of AKI in COVID-19 patients from included studies Previous studies reported the incidence of AKI largely from small case series or cohorts of COVID-19 patients, but our findings indicated that nearly 9 out of 100 developed AKI among a total of 6945 COVID-19 patients. This was close to the incidence rate of AKI in patients with community-acquired pneumonia [24]. Several mechanisms are possible for AKI in COVID-19 patients, including multi-organ dysfunction syndrome, SARS-CoV-2 direct kidney infection [25], AKI following acute respiratory distress syndrome (ARDS), infection-related generalized mitochondrial failure, and cytokine storm syndrome. Early recognition and treatment of AKI may limit associated complications such as long-term chronic kidney disease or end-stage kidney disease [26]. This study has several limitations. First, since the majority of included studies came from China and the USA, the generalizability of our findings into other countries may be limited. Second, clinical heterogeneity between studies should be noted, whereby detailed information on patient characteristics was lacking in the published articles. For example, two studies included patients post kidney transplantation, and the reported incidences of AKI were higher than in other studies which lacked information on how many patients had had kidney transplantation. With the disease burden of COVID-19 still increasing every day, we hope our synthesis can raise clinical awareness, early recognition, and intervention for AKI in patients hospitalized with COVID-19 for first-line healthcare providers.

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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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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                Author and article information

                Contributors
                cyc2356@gmail.com
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                16 June 2020
                16 June 2020
                2020
                : 24
                : 346
                Affiliations
                [1 ]GRID grid.454209.e, ISNI 0000 0004 0639 2551, Department of Nephrology, , Chang Gung Memorial Hospital, ; Keelung, Taiwan
                [2 ]GRID grid.64523.36, ISNI 0000 0004 0532 3255, School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, , National Cheng Kung University, ; Tainan, Taiwan
                [3 ]GRID grid.454209.e, ISNI 0000 0004 0639 2551, Department of Pharmacy, , Chang Gung Memorial Hospital, ; Keelung, Taiwan
                [4 ]GRID grid.145695.a, College of Medicine, , Chang Gung University, ; Taoyuan, Taiwan
                [5 ]GRID grid.454209.e, ISNI 0000 0004 0639 2551, Section of Cardiology, Department of Internal Medicine, , Chang Gung Memorial Hospital, ; Keelung, Taiwan
                [6 ]Kidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou, Taiwan
                [7 ]GRID grid.454209.e, ISNI 0000 0004 0639 2551, Community Medicine Research Center, , Chang Gung Memorial Hospital, ; Keelung, Taiwan
                [8 ]GRID grid.454209.e, ISNI 0000 0004 0639 2551, Division of Nephrology, Department of Medicine, , Chang Gung Memorial Hospital, ; No. 222, Maijin Rd., Anle Dist., Keelung, Taiwan
                Article
                3009
                10.1186/s13054-020-03009-y
                7296284
                32546191
                730e907d-b8e5-4e41-b6f3-92f0b0cebb66
                © 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 May 2020
                : 20 May 2020
                Categories
                Research Letter
                Custom metadata
                © The Author(s) 2020

                Emergency medicine & Trauma
                acute kidney injury,covid-19,incidence,meta-analysis
                Emergency medicine & Trauma
                acute kidney injury, covid-19, incidence, meta-analysis

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