Gabriel Chodick

Dec 28, 2024 | nature.com | Benjamin Lebwohl |Sivan Gazit |Tal Patalon |Gabriel Chodick |Yehuda Shoenfeld |Yonatan Jenudi | +7 more

Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical records of Maccabi Healthcare Services, we developed and evaluated five machine learning models to classify patients as at-risk for CD autoimmunity prior to first documented diagnosis or positive serum tissue transglutaminase (tTG-IgA). A train set of highly seropositive (tTG-IgA > 10X ULN) cases (n = 677) with likely CD and controls (n = 176,293) with no evidence of CD autoimmunity was used for model development. Input features included demographic information and commonly available laboratory results. The models were then evaluated for discriminative ability as measured by AUC on a distinct set of highly seropositive cases (n = 153) and controls (n = 41,087). The highest performing model was XGBoost (AUC = 0.86), followed by logistic regression (AUC = 0.85), random forest (AUC = 0.83), multilayer perceptron (AUC = 0.80) and decision tree (AUC = 0.77). Contributing features for the XGBoost model for classifying a patient as at-risk for undiagnosed CD autoimmunity included signs of anemia, transaminitis and decreased high-density lipoprotein. This model’s ability to distinguish cases of incident CD autoimmunity from controls shows promise as a potential clinical tool to identify patients with increased risk of having undiagnosed celiac disease in the community, for serologic screening.

Jun 28, 2024 | jamanetwork.com | Gabriel Chodick |Maya Simchoni |Ramat Gan

Key PointsQuestion  What is the association between parents’ body weight at 17 years of age and the likelihood of offspring obesity, accounting for the influence of shared environmental and lifestyle factors? Findings  In this cohort study of more than 1.3 million individuals, offspring born to parents with obesity at 17 years of age exhibited a substantial 77% probability of having obesity at the same age compared with 15% when both parents were in the healthy weight range.

Dec 11, 2023 | jamanetwork.com | Carolyn E Cesta |Ran S. Rotem |Brian Bateman |Gabriel Chodick

Key PointsQuestion  Is periconceptional use of glucagon-like peptide 1 (GLP-1) receptor agonists or other noninsulin second-line antidiabetic medications (ADMs) associated with increased risk of major congenital malformations?