Introduction: High body mass index (BMI) may reduce ulcerative colitis (UC) treatment efficacy. Etrasimod is an oral, once-daily (QD), selective sphingosine 1-phosphate 1,4,5 receptor modulator for the treatment of moderately to severely active UC. This post hoc analysis assessed treatment outcomes according to BMI in ELEVATE UC 52 and ELEVATE UC 12.
Methods: Patients receiving etrasimod 2 mg QD or placebo were stratified by BMI: <25, 25-30, and >30 kg/m 2 . Efficacy and safety were assessed at weeks 12 (pooled data) and 52 (ELEVATE UC 52 only) in addition to biomarkers assessments from week 0-12.
Results: For BMI <25 (N = 443) and 25-30 kg/m 2 (N = 217) subgroups, more patients receiving etrasimod vs placebo achieved clinical remission at weeks 12 (BMI <25 kg/m 2 : 27.9% vs 13.3%; 25-30 kg/m 2 : 28.5% vs 10.0%; all P < 0.001) and 52 (BMI <25 kg/m 2 : 30.8% vs 10.0%; 25-30 kg/m 2 : 33.3% vs 6.3%; all P < 0.0001), and also for all other efficacy end points ( P < 0.05). In the BMI >30 kg/m 2 subgroup (N = 127), more patients receiving etrasimod vs placebo achieved clinical remission at week 52 (36.5% vs 3.9%; P < 0.0001) and most other efficacy end points at weeks 12 and 52 (all P < 0.05). Overall, regardless of baseline BMI, numerically lower fecal calprotectin levels were observed with etrasimod vs placebo in treatment responders. The safety profile of etrasimod was consistent between BMI subgroups.
Discussion: A high BMI did not significantly affect efficacy and safety outcomes of etrasimod (NCT03945188; NCT03996369).
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http://dx.doi.org/10.14309/ajg.0000000000003330 | DOI Listing |
JPEN J Parenter Enteral Nutr
March 2025
Department of Dietitian Services, Abbotsford Regional Hospital, Abbotsford, British Columbia, Canada.
Background: Predictive equations often inaccurately estimate energy needs in critically ill patients. This study evaluated the level of agreement between resting energy expenditure using 12 and 25 kcal/kg as recommended by the 2021 American Society for Parenteral and Enteral Nutrition critical care guidelines for nutrition support and energy expenditure measured by indirect calorimetry in patients in the intensive care unit.
Methods: An agreement study was conducted on mechanically ventilated adults who had a documented measured energy expenditure within 10 days of intensive care unit admission.
J Arthroplasty
February 2025
Department of Orthopaedic Surgery, Northwell Orthopaedic Institute, Lenox Hill Hospital, New York, New York.
Background: Optimal coronal and rotational alignment in total knee arthroplasty is essential for satisfactory outcomes. There has been limited focus on sagittal alignment in assessing outcomes. This study investigated the impact of femoral implant flexion (FF) angle on knee kinematics and postoperative outcomes.
View Article and Find Full Text PDFEnviron Health Prev Med
March 2025
Department of Gastroenterology, Hematology and Clinical Immunology, Hirosaki University Graduate School of Medicine.
Background: Many factors are associated with the development and progression of liver fat and fibrosis; however, genetics and the gut microbiota are representative factors. Moreover, recent studies have indicated a link between host genes and the gut microbiota. This study investigated the effect of patatin-like phospholipase domain-containing 3 (PNPLA3) rs738409 (C > G), which has been reported to be most involved in the onset and progression of fatty liver, on liver fat and fibrosis in a cohort study related to gut microbiota in a non-fatty liver population.
View Article and Find Full Text PDFCirc J
March 2025
Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.
Background: The aim of this was to develop an atrial fibrillation (AF) risk score using items usually included in Japanese governmental health check-ups.
Methods And Results: We analyzed data from 6,476 Japanese participants registered in the Suita Study. At baseline, the participants were aged ≥30 years and were free from AF.
BMJ Paediatr Open
March 2025
Biocruces Bizkaia Health Research Institute, Barakaldo, País Vasco, Spain.
Objective: To develop and validate a paediatric weight estimation model adapted to the characteristics of the Spanish population as an alternative to currently extended methods.
Methods: Anthropometric data in a cohort of 11 287 children were used to develop machine learning models to predict weight using height and the body mass index (BMI) quartile (as surrogate for body habitus (BH)). The models were later validated in an independent cohort of 780 children admitted to paediatric emergencies in two other hospitals.
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