Background Recent data have suggested the presence of a reciprocal relationship between COVID-19 and kidney function. To date, most studies have focused on the effect of COVID-19 on kidney function, whereas data regarding kidney function on the COVID-19 prognosis is scarce. Therefore, in this study, we aimed to investigate the association between eGFR on admission and the mortality rate of COVID-19. Methods We recruited 336 adult consecutive patients (male: 57.1%, mean age: 55.0±16.0 years) that were hospitalized with the diagnosis of COVID-19 in a tertiary care university hospital. Data were collected from the electronic health records of the hospital. On admission, eGFR was calculated using the CKD-EPI formula. Acute kidney injury was defined according to the KDIGO criteria. Binary logistic regression and Cox regression analyses were used to assess the relationship between eGFR on admission and in-hospital mortality of COVID-19. Results Baseline eGFR was under 60 mL/min/1.73m 2 in 61 patients (18.2%). Acute kidney injury occurred in 29.2% of the patients. In-hospital mortality rate was calculated as 12.8%. Ageadjusted and multivariate logistic regression analysis (p: 0.005, odds ratio: 0.974, CI: 0.956-0.992) showed that baseline eGFR was independently associated with mortality. Additionally, age-adjusted Cox regression analysis revealed a higher mortality rate in patients with an eGFR under 60 mL/min/1.73m 2 .

Background Autosomal dominant polycystic kidney disease (ADPKD) is the most common monogenic cause of renal failure. For several decades, ADPKD was regarded as an adult-onset disease. In the past decade, it has become more widely appreciated that the disease course begins in childhood. However, evidence-based guidelines on how to manage and approach children diagnosed with or at risk of ADPKD are lacking. Also, scoring systems to stratify patients into risk categories have been established only for adults. Overall, there are insufficient data on the clinical course during childhood. We therefore initiated the global ADPedKD project to establish a large international pediatric ADPKD cohort for deep characterization. Methods Global ADPedKD is an international multicenter observational study focusing on childhood-diagnosed ADPKD. This collaborative project is based on interoperable Web-based databases, comprising 7 regional and independent but uniformly organized chapters, namely Africa, Asia, Australia, Europe, North America, South America, and the United Kingdom. In the database, a detailed basic data questionnaire, including genetics, is used in combination with data entry from follow-up visits, to provide both retrospective and prospective longitudinal data on clinical, radiologic, and laboratory findings, as well as therapeutic interventions. Discussion The global ADPedKD initiative aims to characterize in detail the most extensive international pediatric ADPKD cohort reported to date, providing evidence for the development of unified diagnostic, follow-up, and treatment recommendations regarding modifiable disease factors. Moreover, this registry will serve as a platform for the development of clinical and/or biochemical markers predicting the risk of early and progressive disease.

Background Recent data have reinforced the concept of a reciprocal relationship between COVID-19 and kidney function. However, most studies have focused on the effect of COVID-19 on kidney function, whereas data regarding kidney function on the COVID-19 prognosis is scarce. Therefore, in this study, we aimed to investigate the association between eGFR on admission and the mortality rate of COVID-19. Methods We recruited 336 adult consecutive patients (male 57.1%, mean age 55.0 ±15.9) that were hospitalized with the diagnosis of COVID-19 in the tertiary care university hospital. Data were collected from the electronic health records of the hospital. On admission, eGFR was calculated using the CKD-EPI formula. Acute kidney injury was defined according to the KDIGO criteria. Binary logistic regression and Cox regression analyses were used to assess the relationship between eGFR on admission and in-hospital mortality of COVID-19. Results Baseline eGFR was under 60 mL/min/1.73m2 in 61 patients (18.2%). Acute kidney injury occurred in 29.1% of the patients. In-hospital mortality was calculated as 12.8%. Age-adjusted and multivariate logistic regression analysis (p:0.005, odds ratio:0.974, CI:0.956-0.992) showed that baseline eGFR was independently associated with mortality. Additionally, age-adjusted Cox regression analysis revealed a higher mortality rate in patients with an eGFR under 60 mL/min/1.73m2. Conclusions On admission eGFR seems to be a prognostic marker for mortality in patients with COVID-19; We recommend to determine eGFR in all patients on admission and use it as an additional tool for risk stratification. Close follow-up should be warranted in patients with reduced eGFR.

Artificial intelligence and its primary subfield, machine learning, have started to gain widespread use in medicine, including the field of kidney transplantation. We made a review of the literature that used artificial intelligence techniques in kidney transplantation. We located six main areas of kidney transplantation that artificial intelligence studies are focused on: Radiological evaluation of the allograft, pathological evaluation including molecular evaluation of the tissue, prediction of graft survival, optimizing the dose of immunosuppression, diagnosis of rejection, and prediction of early graft function. Machine learning techniques provide increased automation leading to faster evaluation and standardization, and show better performance compared to traditional statistical analysis. Artificial intelligence leads to improved computer-aided diagnostics and quantifiable personalized predictions that will improve personalized patient care.

Introduction Coronavirus related lockdown measures had a severe psychological toll. We investigated the effects of population‐wide infection control measures on hemodialysis (HD) and oncology patients' mood statuses. Methods An electronic survey was used to collect data. We used the Profile of Mood States (POMS) and the Hospital Anxiety and Depression Scale (HADS) to measure the mood statuses. Results The study groups composed of 400 HD, 234 oncology patients, and 276 controls. HADS anxiety and total POMS scores were significantly higher in the control group than that of both HD and oncology patients, a finding consistent with a worse mood status. In multivariate models, the male gender and the perception of having received appropriate medical support during the pandemic period were independent predictors of better POMS and HADS‐anxiety and depression scores. Conclusion HD and oncology patients appear to be less affected by the psychological stress induced by social distancing and lockdown periods.

Mesangial IgA deposition is the hallmark of IgA nephropathy. In some cases, crescentic involvement which might be associated with systemic leukocytoclastic vasculitis is documented; in such cases, the disease is called Henoch-Schonlein purpura (IgA vasculitis). Even more rarely, the coexistence of IgA nephropathy and ANCA seropositivity was reported. IgA nephropathy might be complicated by acute kidney injury due to different causes. Herein, we present a patient with mesangial IgA deposition and ANCA seropositivity, who developed acute kidney injury, hematuria, and hemoptysis during the course of COVID-19 disease and was diagnosed with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis based on clinical, laboratory, and radiological findings. The patient was treated successfully with immunosuppressive therapy. We also made a systematic review of the literature to reveal and present the cases with COVID-19 and ANCA-associated vasculitis.

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<b><i>Introduction:</i></b> Fabry disease is a rare metabolic, multisystemic, and X-linked lysosomal storage disorder. The involvement of the autonomic nervous system is well defined; however, data on the variability of the blood pressure (BP) and heart rate in Fabry disease are largely missing. In this study, we aimed to examine the circadian variations of BP and heart rate variability in Fabry disease patients. <b><i>Methods:</i></b> We recruited 31 consecutive adult (age &#x3e;18 years) Fabry disease patients (16 males and 15 females) who were regularly followed up in our outpatient clinic between July 2019 and March 2020. We performed ambulatory blood pressure monitoring and echocardiography in all patients. We used standard deviation (SD), coefficient of variation (CV), and average real variability as the measures of variability. We constructed 2 control groups for propensity score matching using age, sex, and eGFR parameters in the first group and adding antihypertensive drug use to the above parameters in the second group. <b><i>Results:</i></b> All BP measurements were significantly lower in the FD group compared to that of the control groups, except the nighttime systolic BP. Regarding nondipping and reverse dipping statuses, FD patients and controls were similar. We found that none of the BP variability measures were higher in FD patients. Regarding heart rate variability data, both the nighttime SD and CV were significantly lower in FD patients compared to those of the controls. <b><i>Conclusion:</i></b> A decrease in heart rate variability, rather than an increase in BP variability, might be an early marker of autonomic involvement in FD.