Searchable abstracts of presentations at key conferences in endocrinology

ea0070aep166 | Bone and Calcium | ECE2020

Neural network algorithm to determine the optimal range of PTH level for patients with end-stage chronic kidney disease to maintain bone metabolism

Karlovich Natalia , Spiridonova Olga , Mokhort Tatiana

Secondary hyperparathyroidism is highly prevalent in patients with end-stage chronic kidney disease (CKD). Optimal range of PTH level for this cohort of patients is still controversial. The aim of the study was to use a neural network algorithm to determine the optimal point value and confidence interval for the average PTH value for patients with end-stage chronic kidney disease to maintain bone metabolism.The study included 190 patients with end-stage ...