Prediction of medication-related osteonecrosis of the jaws using machine learning methods from polymorphisms and clinical information.

Objective: The purpose of this study was to evaluate the effect of () polymorphisms on the development of medication-related osteonecrosis of the jaws (MRONJ) in women with osteoporosis.

Methods: A total of 125 patients taking bisphosphonates was evaluated the relationship between MRONJ occurrence and single nucleotide polymorphisms (SNPs) of . Clinical information was collected, including current age, treatment duration, and comorbidity.

Nutrition Therapy by Nutrition Support Team: A Comparison of Multi-Chamber Bag and Customized Parenteral Nutrition in Hospitalized Patients.

This study aimed to investigate the activity of a nutrition support team (NST) and the trends of multi-chamber bag (MCB) and customized parenteral nutrition (PN) with NST consultations in South Korea. Data were obtained from the National Inpatient Sample Cohort between 2015 and 2020. Three datasets were constructed for NST consultation, MCB-PN product prescriptions, and aseptic preparation of total PN.

Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using Gene Polymorphisms.

Objective: This nested case-control study aimed to investigate the effects of polymorphisms on the development of bisphosphonate-related osteonecrosis of the jaw (BRONJ) in women with osteoporosis.

Methods: Eleven single nucleotide polymorphisms (SNPs) of the were assessed in a total of 125 patients. Logistic regression was performed for multivariable analysis.