COVID-19 in ESRD and Acute Kidney Injury

Kooman, Jeroen P.; Sande, Frank M. van der

doi:10.1159/000513214

Cited by 30 publications

(30 citation statements)

References 88 publications

(136 reference statements)

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“…To explain this, we surmise that the kidney could, beside its pivotal role in the metabolism of β 2 -m, become a source of β 2 -m in Covid-19 for various reasons, including the fact that SARS-CoV-2 has demonstrated an exquisite tropism for the kidney since its receptor, membranebound angiotensin-converting enzyme 2 (ACE2), is highly expressed in the brush border of proximal tubular cells, and to some extent in podocytes, but neither in endothelial nor mesangial cells of the glomerulus [52,53]. It would be interesting to study the urinary excretion of β 2 -m in patients with Covid-19, in order to better understand and assess the renal responses to such an intricate viral infection [54][55][56].…”

Section: Plos Onementioning

confidence: 99%

Serum β2-microglobulin levels in Coronavirus disease 2019 (Covid-19): Another prognosticator of disease severity?

et al. 2021

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β2-microglobulin (β2-m), a 11.8 kDa protein, pairs non-covalently with the α3 domain of the major histocompatibility class (MHC) I α-chain and is essential for the conformation of the MHC class I protein complex. Shed β2-m is measurable in circulation, and various disorders are accompanied by increases in β2-m levels, including several viral infections. Therefore, we explored whether β2-m levels could also be elevated in Coronavirus disease 2019 (Covid-19) and whether they predict disease severity. Serum β2-m levels were measured in a cohort of 34 patients infected with SARS-CoV-2 on admission to a tertiary care hospital in Riyadh, Saudi Arabia, as well as in an approximately age-sex matched group of 34 uninfected controls. Mean β2-m level was 3.25±1.68 mg/l (reference range 0.8–2.2 mg/l) in patients (mean age 48.2±21.6) and 1.98±0.61 mg/l in controls (mean age 48.2±21.6). 17 patients (mean age 36.9± 18.0) with mean β2-m levels of 2.27±0.64 mg/l had mild disease by WHO severity categorization, 12 patients (mean age 53.3±18.1) with mean β2-m levels of 3.57±1.39 mg/l had moderate disease, and five patients (of whom 2 died; mean age 74.4±13.8) with mean β2-m levels of 5.85±1.85 mg/l had severe disease (P < = 0.001, by ANOVA test for linear trend). In multivariate ordinal regression β2-m levels were the only significant predictor of disease severity. Our findings suggest that higher β2-m levels could be an early indicator of severity of disease and predict outcome of Covid-19. As the main limitations of the study are a single-center study, sample size and ethnicity, these results need confirmation in larger cohorts outside the Arabian Peninsula in order to delineate the value of β2-m measurements. The role of β2-m in the etiology and pathogenesis of severe Covid-19 remains to be elucidated.

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Section: Plos Onementioning

confidence: 99%

Serum β2-microglobulin levels in Coronavirus disease 2019 (Covid-19): Another prognosticator of disease severity?

et al. 2021

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“…Their deterioration might not be unconnected with the development of the kidney disease complication. Studies have shown that kidney disease is associated with an increased risk of hospitalisation, critical COVID-19 infection, and fatal outcomes [31,32]. Another prevalent co-existing disease condition in this report is T2DM.…”

Section: Discussionmentioning

confidence: 62%

Mode of Presentation and Outcomes of COVID-19 Cases in a Tertiary Hospital in Nigeria

Raji

Waziri

Hussaini

et al. 2021

Preprint

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Coronavirus disease 2019 (COVID-19) has spread across the globe with its consequent human and economic challenges. To achieve effective control of the pandemic, efforts need to be holistic and global. Understanding patients demographics and clinical characteristics will assist in the control of the infection. However, there is a paucity of studies on the clinical presentation of COVID-19 patients from Nigeria and indeed Africa. Thus, this retrospective case series evaluated the medical records of COVID-19 patients admitted in a tertiary hospital in Nigeria. Patients demographics, and other clinical variables were assessed and presented. Data of 14 patients with complete records were included in the study. Most of the patients (78.6%) were males and the mean age of the study participants is 63.5 years (SD; 11.5). The commonest presenting symptoms were fever (93%), cough (71.4%), and dyspnoea (57.1%). At presentation, 13 patients had coexisting diseases while 8 (57.0%) patients had moderate disease and the remaining 6 (43.0%) had severe cases. After management, 1 patient died, two were referred and 11 recovered and were discharged alive. Thus, this study has identified advanced age, male gender, and comorbidity as increased risk factors for hospitalisation. The patient survival outcome in this study was also good.

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“…The reason why patients receiving hemodialysis are more likely to present with critical COVID-19 remains unclear. However, immune-senescence and malnourishment might play a role [ 23 ]. We focused on elevated initial serum CRP levels as a laboratory factor for predicting severe disease.…”

Section: Discussionmentioning

confidence: 99%

Predictive model for the development of critical coronavirus disease 2019 and its risk factors among patients in Japan

Muto

Awano

Inomata

et al. 2021

Respiratory Investigation

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Background This study aimed to examine risk factors associated with critical coronavirus disease 19 (COVID-19) and to establish a risk predictive model for Japanese patients. Methods We retrospectively assessed adult Japanese patients diagnosed with COVID-19 at the Japanese Red Cross Medical Center, Tokyo, Japan between February 1, 2020 and March 10, 2021. The patients were divided into critical and non-critical groups based on their condition during the clinical courses. Univariate and multivariate logistic regression analyses were performed to investigate the relationship between clinical characteristics and critical illness. Based on the results, we established a predictive model for the development of critical COVID-19. Results In total, 300 patients were enrolled in this study. Among them, 86 were included in the critical group. Analyses revealed that age ≥65 y, hemodialysis, need for O 2 supplementation upon diagnosis, and an initial serum C-reactive protein level of ≥6.5 mg/dL were independently associated with the development of critical COVID-19. Next, a predictive model for the development of critical COVID-19 was created, and this included the following variables: age ≥65 y, male sex, diabetes, hemodialysis, need for O 2 supplementation upon diagnosis, and an initial serum C-reactive protein level of ≥6.5 mg/dL. The area under the receiver operating characteristic curve of the model was 0.86 (95% confidence interval, 0.81–0.90). Using a cutoff score of 12, the positive and negative predictive values of 74.0% and 80.4% were obtained, respectively. Conclusions Upon diagnosis, the predictive model can be used to identify adult Japanese patients with COVID-19 who will require intensive treatment.

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COVID-19 in ESRD and Acute Kidney Injury

Cited by 30 publications

References 88 publications

Serum β2-microglobulin levels in Coronavirus disease 2019 (Covid-19): Another prognosticator of disease severity?

Serum β2-microglobulin levels in Coronavirus disease 2019 (Covid-19): Another prognosticator of disease severity?

Mode of Presentation and Outcomes of COVID-19 Cases in a Tertiary Hospital in Nigeria

Predictive model for the development of critical coronavirus disease 2019 and its risk factors among patients in Japan

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