Risk of Comorbidities on Postoperative Outcomes in Patients With Inflammatory Bowel Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The effect of comorbidities on postoperative outcomes in patients with inflammatory bowel disease (IBD) has not been explored adequately. We evaluated the prevalence of comorbidities and their effect on postoperative outcomes after an IBD-related operation. METHODS: The Nationwide Inpatient Sample database was used to identify 35 588 patients with IBD who underwent an IBD-related operation from January 1, 1995, through December 31, 2005. The presence of comorbid illness was assessed using the Elixhauser index. Multiple logistic regression analysis was performed to evaluate the effect of comorbidities on mortality rate after adjusting for age, sex, race, health insurance status, and admission type. Linear regression models were used to evaluate health care resource use. RESULTS: Postoperative mortality was 1.9%. As the number of comorbidities increased (ie, 0, 1, 2, or ≥3), postoperative mortality increased (0.4%, 1.5%, 3.3%, and 7.9%, respectively). Congestive heart failure (odds ratio, 3.50 [95% confidence interval, 2.63-4.62]), liver disease (3.15 [2.00-4.97]), thromboembolic disease (4.19 [3.37-5.21]), and renal disease (8.74 [5.44-14.05]) were associated with a significant increase in mortality rate. Comorbidities associated with an increased risk of mortality also were associated with a significant increase in length of stay and hospital charges. CONCLUSIONS: Comorbidities were common in patients with IBD and they significantly increased the risk of postoperative mortality and health care use in patients with IBD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it