Clinical Outcomes and Predictors of Thirty-Day Readmissions of Hypertriglyceridemia-Induced Acute Pancreatitis
Bibliographic record
Abstract
Background: Hypertriglyceridemia (HTG) is a well-established cause of acute pancreatitis often leading to significant morbidity, mortality, and healthcare burden. This study aimed to describe the rate, reasons, and predictors of HTG-induced acute pancreatitis (HTG-AP) in the USA. Methods: This retrospective study analyzed the Nationwide Readmissions Database (NRD) for 2018 to determine all adults (≥ 18 years) readmitted within 30 days of an index hospitalization of HTG-AP. Hospitalization characteristics and adverse outcomes for 30-day readmissions were highlighted and compared with index admissions of HTG-AP. Furthermore, independent predictors for 30-day readmissions of HTG-AP were also identified. P values ≤ 0.05 were considered statistically significant. Results: In 2018, the rate of 30-day readmission of HTG-AP was noted to be 13.5%. At the time of readmission, AP (45.2%) was identified as the most common principal diagnosis, followed by chronic pancreatitis (6.3%) and unspecified sepsis (4.8%). Compared to index admissions, 30-day readmissions of HTG-AP had a higher proportion of patients with Charlson Comorbidity Index (CCI) scores ≥ 3 (48.5% vs. 33.8%, P < 0.001). Furthermore, we noted higher rates of inpatient mortality (1.7% vs. 0.7%, odds ratio (OR): 2.55, 95% confidence interval (CI): 1.83 - 3.57, P < 0.001), mean length of stay (LOS) (5.6 vs. 4.1 days, OR: 1.5, 95% CI: 1.2 - 1.7, P < 0.001), and mean total healthcare charge (THC) ($56,799 vs. $36,078, OR: 18,702, 95% CI: 15,136 - 22,267, P < 0.001) for 30-day readmissions of HTG-AP compared to index admissions. Independent predictors for 30-day all-cause readmissions of HTG-AP included hypertension, protein energy malnutrition (PEM), CCI scores ≥ 3, chronic kidney disease and discharge against medical advice. Conclusions: AP was the principal diagnosis on presentation in only 45.2% patients for 30-day readmissions of HTG-AP. Compared to index admissions, 30-day readmissions of HTG-AP had a higher comorbidity burden, inpatient mortality, mean LOS and mean THC.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".