Results 201 to 210 of about 691,015 (282)

Machine learning prediction of feeding intolerance in preterm infants: a pre-feeding risk stratification model. [PDF]

Front Pediatr
Mao G, Li Y, Li M, Wang J, Li Y.
europepmc   +1 more source

International consensus recommendations for identifying malnutrition in children with neurological impairment

Developmental Medicine &Child Neurology, EarlyView.
Abstract Children with neurological impairment (CNI) are at increased risk of malnutrition because of functional, medical, and socioeconomic challenges. However, difficulties in obtaining reliable anthropometric measurements and differences in body composition limit the usefulness of conventional nutritional indicators.
Sarah Vermilyea, Jodi Wolff, Gina Rempel, Jessie M. Hulst, Koen Huysentruyt, Mandy Neudecker, Denise Kennedy, Valérie Marchand, Erika Ochoa‐Ortiz, Richard D. Stevenson, Promoting International Collaboration for Nutrition in Neurological Impairment in Children (PICNNIC) Working Group, Lucinda Lourens, Mark Conaway, Tejas S. Desai, Mercedes Ruiz Brunner, Nathalia Sanchez Vargas, Valeria Martinez Tenorio, Kristie L. Bell, Claudio Romano, Richard Grossberg   +19 more
wiley   +1 more source

Early prediction of enteral nutrition feeding intolerance risk in neurocritical patients and development of a simplified risk scoring tables. [PDF]

Eur J Clin Nutr
Yuan R, Liu L, Mi J, Li X, Yang F, Mao S.   +5 more
europepmc   +1 more source

Psychosocial aspects of early detection in type 1 diabetes: Language matters, decision making and support needs

Diabetic Medicine, EarlyView.
Abstract Aim The potential implementation of early type 1 diabetes (T1D) detection pathways, encompassing autoantibody screening and longitudinal monitoring, raises important psychosocial considerations for ethical, person‐centred care. This review summarises evidence on the psychosocial impact of early T1D detection, identifying key evidence gaps and ...
Maartje de Wit, Laura Yvonne Klinker, Belinda Moore, Anna Boggiss, Lucía Feito Allonca, Mariam Asaad, Keely Bebbington, Bryan Cleal, Sasja Huisman, Per Winterdijk, Henk Jan Aanstoot, Christine Fransman, Elizabeth Holmes‐Truscott, Norbert Hermanns, Giesje Nefs   +14 more
wiley   +1 more source

External validation of the feeding intolerance prediction model (NOFI) in critically ill patients: A post hoc analysis of a large-scale randomized controlled trial. [PDF]

J Intensive Med
Wang Y, Li Y, Li H, Li N, Li X, Lv D, Bao L, Feng X, Ke L, Zhang D.   +9 more
europepmc   +1 more source

Systematic Comparison of High‐Fat Diet– and Streptozotocin‐Induced Prediabetic Obese C57BL/6J Mouse Models: A Sex‐Based Protocol Optimization Study

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Animal models of prediabetes (Pre‐DM) are essential for studying metabolic disease and testing therapies, yet high‐fat diet (HFD) and HFD‐plus‐streptozotocin (STZ) protocols vary in feeding duration, STZ dose, and diagnostic criteria and rarely account for sex.
Min Xu, Chao Ke, Yangkun Liu, Wenying Shi, Yang Cao, Zhengyu Li, Yi Xiao, Wei Zhang   +7 more
wiley   +1 more source

Risk prediction models for enteral nutrition feeding intolerance in critically ill patients: an overview of systematic reviews. [PDF]

Front Nutr
Zhou Z, Zhang J, Fan C, Wei Z, Wang Q, Liu C.   +5 more
europepmc   +1 more source

Evaluating Whole Fruit Feijoa Powder for Type 2 Diabetes Risk Prevention: A Randomised Controlled Trial

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Low energy diets (LEDs) are effective for body weight (BW) loss and improvement of type 2 diabetes (T2D) risk biomarkers. Emerging evidence suggests that whole fruit feijoa powder, rich in polyphenols and abscisic acid, may further support T2D prevention.
I. A. Mohamed, I. R. Sequeira‐Bisson, J. J. Lim, L. D. Plank, R. Murphy, S. D. Poppitt, J. L. Miles‐Chan   +6 more
wiley   +1 more source

Associated factors and clinical outcomes of feeding intolerance in preterm extremely low birthweight infants. [PDF]

Sci Rep
Soffer S, Mandel D, Herzlich J, Mendelsohn R, Lubetzky R, Moran-Lev H.   +5 more
europepmc   +1 more source

Real‐World Evidence for Existing Anti‐Obesity Therapies—The Realities of Treatment Adherence, Tolerability, Access and Patient Satisfaction

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Obesity is associated with substantial cardiometabolic and psychosocial morbidity. Although randomized controlled trials demonstrate the efficacy of anti‐obesity therapies, outcomes in real‐world practice may be attenuated due to limited access, tolerability, adherence and insufficient long‐term support.
Sameer Kassem
wiley   +1 more source