Using Patient Completed Screening Tools to Predict Risk of Malnutrition in Patients With Inflammatory Bowel Disease

Author:

Taylor Lorian M1ORCID,Eslamparast Tannaz2,Farhat Kamal2,Kroeker Karen3,Halloran Brendan3,Shommu Nusrat4,Kumar Ankush1,Fitzgerald Quinn4,Gramlich Leah5,Abraldes Juan G2,Tandon Puneeta2,Raman Maitreyi6ORCID

Affiliation:

1. Department of Medicine, University of Calgary, Calgary, Alberta T2N 4N1, Canada

2. Department of Medicine, University of Alberta, Zeidler Ledcor Centre, 130 University Campus, Edmonton, Alberta T6G 2X8, Canada

3. Division of Gastroenterology, University of Alberta, Zeidler Ledcor Centre, 130 University Campus, Edmonton, Alberta T6G 2X8, Canada

4. Department of Family Medicine, University of Calgary, Health Sciences Center, 3330 Hospital Drive Northwest, Calgary, Alberta T2N 4N1, Canada

5. Department of Medicine, Royal Alexandra Hospital, University of Alberta, Edmonton, Alberta, Canada

6. Division of Gastroenterology and Hepatology, University of Calgary, 6D26, Teaching Research and Wellness Building, 3280 Hospital Drive NW, Calgary, Alberta T2N 4N1, Canada

Abstract

Abstract Background Malnutrition is associated with adverse clinical outcomes in patients with inflammatory bowel disease (IBD), however, malnutrition screening is not routinely performed. This study aimed to identify the prevalence of malnutrition in patients with IBD and compare the accuracy of patient completed screens to a gold-standard malnutrition assessment tool: the dietitian-completed subjective global assessment (SGA). Methods This cross-sectional study was conducted at 2 hospitals and 2 ambulatory care clinics in Alberta, Canada. Patients with IBD completed 4 malnutrition screening tools: abridged patient-generated SGA (abPG-SGA), Malnutrition Universal Screening Tool (MUST), Canadian Nutrition Screening Tool (CNST), and Saskatchewan IBD–nutrition risk (SaskIBD-NR). Risk of malnutrition was calculated for each tool and differences were compared between IBD subtype and body mass index (BMI) categories. Sensitivity and specificity, negative and positive predictive values (NPV and PPV), and area under the receiver operating characteristic curve (AUC) were calculated compared to SGA. Results Patients with Crohn’s disease (n = 149) and ulcerative colitis (n = 96) participated in this study. Overall prevalence of malnutrition using SGA was 23% and malnutrition risk for CNST, abPG-SGA, SaskIBD-NR, and MUST was 37%, 36%, 36%, and 27%, respectively. Overall, the abPG-SGA had the highest sensitivity (83%), PPV (53%), and NPV (94%), and largest AUC (0.837) compared to SGA. For patients with a BMI ≥25 kg/m2, sensitivity and PPV of the abPG-SGA decreased to 73% and 41%, respectively, with a AUC of 0.841. Conclusions Malnutrition is prevalent in patients with IBD and using malnutrition risk screening tools such as the abPG-SGA may be useful to identify patients who would benefit from further assessment.

Funder

Alberta’s Collaboration of Nutrition in Digestive Disease

University Hospital Foundation

Government of Alberta

Publisher

Oxford University Press (OUP)

Subject

Gastroenterology

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