Iron Deficiency Anemia: An Overlooked Complication of Crohn’s Disease
Bibliographic record
Abstract
Background: There are few studies to evaluate the association between iron deficiency anemia (IDA) and Crohn's disease (CD). We examined this association in a USA-based cohort of patients with CD. Methods: We queried the Nationwide Readmission Databases 2018 using the International Classification of Disease, 10th Revision, and Clinical Modification (ICD-10-CM) codes to identify all adult patients admitted with a diagnosis of CD. Primary outcomes were the prevalence of IDA among patients with CD. Secondary outcomes included inpatient mortality, the length of stay, all-cause 30-day non-elective readmission rate, and total cost of hospitalization. Multivariate regression analysis was performed to study the impact of IDA on inpatient mortality and non-elective readmissions. Results: Of the 72,076 patients discharged from an index hospitalization for CD, 8.1% had IDA. CD patients with IDA had increased length of stays in days (4, interquartile range (IQR): 2 - 6 vs. 3, IQR: 2 - 5; P < 0.001), increased median total charges ($35,160, IQR: $19,786 - $64,126 vs. $31,299, IQR: $17,226 - $59,561; P < 0.001), and were more common to require blood transfusion during hospitalization (13.6% vs. 3.4%, P < 0.001) compared to CD patients without IDA, respectively. IDA was independently associated with increased odds of all-cause 30-day non-elective readmission (odds ratio (OR): 1.254, 95% confidence interval (CI): 1.154 - 1.363, P < 0.001) and increased odds of all-cause 90-day non-elective readmission (OR: 1.396, 95% CI: 1.302 - 1.498, P < 0.001). Conclusions: In a large nationwide cohort of patients hospitalized for CD, we observed a significant burden of IDA. Additionally, we found a significant association between IDA and worse hospitalization outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".