Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks.
Erythropoiesis Stimulating Agents (ESAs) have become a standard anemia management tool for End Stage Renal Disease (ESRD) patients. However, dose optimization constitutes an extremely challenging task due to huge inter and intra-patient variability in the responses to ESA administration. Current data-based approaches to anemia control focus on learning accurate hemoglobin prediction models, which can be later utilized for testing competing treatment choices and choosing the optimal one. These methods, despite being proven effective in practice, present several shortcomings which this paper intends to tackle. Namely, they are limited to a small cohort of patients and, even then, they fail to…
Constipation severity is associated with productivity losses and healthcare utilization in patients with chronic constipation
OBJECTIVE: We sought to evaluate the association between constipation severity, productivity losses and healthcare utilization in a national sample of Italian patients with chronic non-organic constipation (CC). METHODS: We enrolled 878 outpatients with CC. Clinical and demographic data were collected by physicians during clinical examinations. Patients completed a self-administered questionnaire (Patient Assessment of Constipation-Symptoms, PAC-SYM; Work Productivity and Activity Impairment; healthcare utilization, and Symptoms Checklist 90 Revised - Somatization Scale, SCL-90 R). RESULTS: Mean PAC-SYM score was 1.62 ± 0.69. Mean weekly sick time due to constipation was 2.7 ± 8.6 h and pro…
How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as medical device.
Background The successful application of Machine Learning (ML) to many clinical problems can lead to its implementation as medical devices (MD), being important to assess the associated risks. Methods An anemia control model (ACM), certified as MD may face adverse events as the result of wrong predictions that are translated into suggestions of doses of erythropoietic stimulating agents to dialysis patients. Risks are assessed as the combination of severity and probability of a given hazard. While severities are typically assessed by clinicians, probabilities are tightly related to the performance of the predictive model. Results A post-marketing dataset formed by all adult patients registe…
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to…