During the novel coronavirus pandemic, organ transplant recipients represent a frail susceptible category due to longterm immunosuppressive therapy. For this reason, clinical manifestations may differ from general population and different treatment approaches may be needed. We present the case of a 36-year-old kidney transplanted woman affected by Senior-Loken syndrome diagnosed with COVID-19 pneumonia after a contact with her positive mother.Initial symptoms were fatigue, dry cough and coryza; she never had fever nor oxygen supplementation.Hydroxychloroquine and lopinavir/ritonavir were started, and the antiviral drug was replaced with darunavir/cobicistat after two days for diarrhea. Immunosuppressant levels were closely monitored, and we observed very high tacrolimus trough levels despite initial dose reduction. The patient was left with steroid therapy alone. The peculiarity of clinical presentation and the management difficulties represent the flagship of our case-report. We stress the need for guidelines in transplant recipients with COVID-19 infection with particular regard to the management of therapy.

Background: Depression is the most common psychiatric disorder in long-term dialysis patients and a risk factor for morbidity and mortality. Although there is a relevance of the issue in the dialysis setting, we still know little about possible relationships between depression and uraemia-related biochemical abnormalities. Our aims were to evaluate (1) the prevalence of depression in our haemodialysis (HD) and peritoneal dialysis (PD) population using a validated and easy-to-implement screening tool and (2) the association between depression and the main uraemia-related clinical and biochemical parameter changes. Methods: In this monocentric cross-sectional study, all patients of our centre with at least 3 months of dialysis were screened by Patient Health Questionnaire-9 (PHQ-9), a self-administered depression-screening questionnaire validated in dialysis setting. The impact of depressive symptoms on daily life was also assessed. We then analysed relationships between the PHQ-9-derived depressive score, functional impairment score, demographic, clinical and laboratory variables. Results: In our cohort of 145 patients, depressive symptoms were found in 69 patients (46%). Stratifying for severity, mild, moderate and severe grade accounted for 31, 13 and 2% respectively. Depressive symptoms affected 36% of patients on PD versus 52% of patients on HD. Moreover, the PD patients had significantly less functional impairment derived from depressive symptoms than the HD patients. Simple and multiple regression analysis identified serum phosphorus as the only uraemia-related laboratory parameter that was high statistically associated with depressive score. Conclusions: Using a reliable, simple and fast tool, we found that depressive symptoms affect almost half of dialysis patients, particularly so the HD cohort. Severity of depressive symptoms seems related to serum levels of phosphorus possibly because depression affects compliance to therapy.

Introduction: CKD is associated with a reduction of patients’ health-related quality of life. Considering the time spent in dialysis, satisfaction with care is essential for patients QOL. Objective: Since the possible association between satisfaction with the dialysis care and QOL has never been studied, in this study, we explore this plausible link. Methods: One hundred three patients on hemodialysis (HD) and peritoneal dialysis (PD) filled-in patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs). QOL was assessed by Kidney Disease Quality of Life-36 and satisfaction by Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) questionnaire. The analysis was conducted on patient-level, considering for single patient sociodemographic characteristics and presence of depression/anxiety. One-way ANOVA was used to compare QOL mean scores for patients who answered “excellent” and for those who answered “other ratings” in CHOICE questionnaire and the Pearson χ² test to compare the patients’ characteristics between these 2 groups of patients. Results: The analysis showed a significant positive association between PREM and PROM scores for 8 out of 23 CHOICE items. Six of them were related to the figure of nephrologist, 1 to dialysis access site, and 1 to the social worker support. Significant association (p < 0.05) were between frequency of seeing nephrologist and physical component plus mental component, accuracy of information from nephrologist and burden of disease, accuracy of instructions from nephrologist and burden of disease, coordination between nephrologist and other physicians plus mental component, attention to cleanliness of access site and mental component, amount of dialysis information from staff and burden of disease, information from staff when choosing between HD or PD and physical component plus burden of disease, and ease of seeing social worker and burden of disease. Conclusions: The study provides support for the relationship between the care satisfaction and QOL, highlighting the central role of the nephrologist-patient communication in the QOL of dialysis patients.

Intradialytic hypotension (IDH) is a frequent and well-known complication of hemodialysis, occurring in about one third of patients. An integrated approach with different methods is needed to minimize IDH episodes and their complications. In this prospective observational study, recruited patients underwent a multiparametric evaluation of fluid status through a lung ultrasound (LUS) with the quantification of B-lines, a physical examination, blood pressure, NT-proBNP and chest X-rays. The evaluation took place immediately before and at the end of the dialysis session, and the patients were divided into IDH and no-IDH groups. We recruited a total of 107 patients. A pre-dialysis B-line number ≥ 15 showed a high sensitivity in fluid overload diagnosis (94.5%), even higher than a chest X-ray (78%) or physical examination (72%) alone. The identification at the beginning of dialysis of <8 B-lines in the overall cohort or <20 B-lines in patients with NYHA 3–4 class are optimal thresholds for identifying those patients at higher risk of experiencing an IDH episode. In the multivariable analysis, the NYHA class, a low pre-dialysis systolic BP and a low pre-dialysis B-line number were independent risk factors for IDH. At the beginning of dialysis, the B-line quantification at LUS is a valuable and reliable method for evaluating fluid status and predicting IDH episodes. A post-dialysis B-line number <5 may allow for an understanding of whether the IDH episode was caused by dehydration, probably due to due to an overestimation of the dry weight.

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