Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background And Aim: Inflammatory bowel diseases (IBD) are chronic conditions that affect the gastrointestinal tract. The chronic inflammatory state promotes a catabolic environment that contributes to undernutrition, while mucosal damage often impairs nutrient absorption. The aim of this study is to evaluate the relationship between nutritional status-including micronutrient deficiencies-and clinical as well as laboratoristics disease activity in a cohort of patients with IBD.
Methods: This is a cross-sectional study conducted across three care centers in Italy. Baseline data, clinical disease activity, and laboratory test results were collected. Micronutrient evaluation included measurements of iron, ferritin, vitamin B12, vitamin D, and folate. In addition, hemoglobin and albumin levels were assessed. Pearson correlation analysis was performed to explore the relationship between disease activity and nutritional status. Additionally, receiver operating characteristics (ROC) analysis were performed to identify patients with active diseases.
Results: 110 IBD patients (40 Crohn Disease; 70 Ulcerative Colitis) were included. The serum level of Hb, iron, ferritin and vitamin D was different among the active and inactive group (: 0.007; : 0.001; : 0.005; : 0.003) while no difference was found among the other micronutrients evaluated (folic acid, vitamin B12) and albumin. Iron and vitamin D levels demonstrated the highest accuracy in the ROC analysis, with Area Under the Curve (AUC) of 0.76 ( < 0.001) and 0.68 ( = 0.013), respectively. Vitamin D and Ferritin showed the better performance (based on calprotectin levels). However, their AUC were sub-optimal (AUC 0.68; < 0.001; AUC 0.66; = 0.19.
Conclusions: Hemoglobin, iron, ferritin, and vitamin D were associated with disease activity status. However, despite this correlation, their accuracy in discriminating between active and inactive disease appeared to be suboptimal. Folic acid, vitamin B12, and albumin showed poor concordance with disease activity status.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389598 | PMC |
http://dx.doi.org/10.3390/nu17162690 | DOI Listing |