New Ileostomy Formation and Subsequent Community-onset Acute and Chronic Kidney Disease
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to examine relationships between ileostomy formation and subsequent kidney disease. SUMMARY AND BACKGROUND DATA: Colonic absorptive capacity loss from ileostomy formation can cause volume depletion and could result in kidney disease. METHODS: We conducted a population-based cohort study comparing patients who underwent ileostomy formation with or without bowel resection (ileostomy group) to patients who underwent bowel resection without ileostomy formation (reference group). Adjusted odds ratios (aORs) for community-onset acute kidney injury (AKI) within 3 months and new-onset chronic kidney disease (CKD) within 1 year following hospital discharge were determined. RESULTS: Among 19,889 patients, 4136 comprised the ileostomy group and 15,753 comprised the reference group; 1350 patients experienced community-onset AKI and 464 developed new-onset CKD. The aOR for community-onset AKI with ileostomy formation was 4.08 [95% confidence interval (CI) = 3.62-4.61] for any stage AKI, 7.08 (95% CI = 5.66-8.85) for stage ≥2 injury, and 7.67 (95% CI = 5.06-11.63) for stage 3 injuries. Community-onset AKI modified associations between ileostomy formation and new-onset CKD (P = 0.002). Odds of new-onset CKD were increased in the ileostomy group relative to the reference group for patients both with (aOR = 4.99; 95% CI = 3.42-7.28) and without (aOR = 2.45; 95% CI = 1.85-2.23) previous community-onset AKI episodes. In analyses comparing patients that underwent ileostomy formation and subsequent reversal within 1 year to the reference group without ileostomy, the relationship with new-onset CKD was attenuated for patients both with (aOR = 2.49; 95% CI = 1.50-4.12) and without (aOR = 0.97; 95% CI = 0.67-1.40) previous community-onset AKI episodes. CONCLUSIONS: Ileostomy formation is strongly associated with subsequent kidney disease. Vigilance for this complication and new strategies for prevention and treatment are necessary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".