Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach.

Journal: European journal of clinical nutrition
PMID:

Abstract

BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention, often escalating to more intense treatment due to the low success rate of the first-line intervention. Clinicians lack clear guidelines on which patients would benefit from early treatment with more intensive therapeutic options, so we aimed to develop an algorithm to early identify non-responders to lifestyle intervention for prediabetes.

Authors

  • Andrea Foppiani
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy. andrea.foppiani@unimi.it.
  • Ramona De Amicis
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.
  • Alessandro Leone
    Institute for Microelectronics and Microsystems, National Research Council of Italy, Lecce 73100, Italy. Electronic address: alessandro.leone@cnr.it.
  • Federica Sileo
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.
  • Sara Paola Mambrini
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.
  • Francesca Menichetti
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.
  • Giorgia Pozzi
    Delft University of Technology.
  • Simona Bertoli
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.
  • Alberto Battezzati
    International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133, Milan, Italy.