Since epidemiological arguments favouring self-isolation during the COVID-19 pandemic are widely recommended, the consequences of social isolation/loneliness of older people considered to be at higher risk for severe illness are neglected. We identified and described medical, social, psychological, and religious issues, indirectly generated by the COVID-19 lockdown. Mortality induced by SARS-CoV-2 and death from other "neglected" issues were put in balance.
View Article and Find Full Text PDFBackground: The purpose of this review is to depict current research and impact of artificial intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation. Published studies were presented from two points of view: What medical aspects were covered? What AI/ML algorithms have been used?
Methods: We searched four electronic databases or studies that used AI/ML in hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KT). Sixty-nine studies were split into three categories: AI/ML and HD, PD, and KT, respectively.
Purpose: End-stage renal disease (ESRD) patients often report a combination of disturbing physical symptoms and psychological distress which result in significantly reduced quality of life (QoL). Coping with a chronic disease is a complex matter involving also the family and a multi-disciplinary team. Recently, observational studies suggested that spirituality (S) and religiosity (R) are two important determinants in coping with a chronic/terminal disease.
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