Impact of Aspirin Use on Outcomes in Patients With Hepatocellular Cancer: A Nationwide Analysis
Bibliographic record
Abstract
Background: Despite the use of new immunotherapies, hepatocellular carcinoma (HCC) has a poor survival rate. Through multiple molecular mechanisms, aspirin (ASA) has demonstrated a reduced incidence of HCC, however, the impact of long-term ASA use on in-hospital outcomes has not been studied. Methods: We queried the National Inpatient Sample (NIS) database from 2016 to 2020 to identify patients with HCC. Patients were stratified into two groups, based on long-term ASA use. Information was collected regarding patient demographics, Elixhauser comorbidities, interventions, etiology, and decompensations of liver disease. Outcomes studied included sepsis, shock, acute kidney injury (AKI), intensive care unit (ICU) admission, and in-hospital mortality. The association between long-term ASA use and outcomes was studied using multivariate analysis. Results: A total of 224,735 patients were included in the study. Of them, 18,835 (8.4%) patients were on long-term ASA. The majority of the patients with ASA use were White (61.3%), men (78.2%), and aged > 65 years old (68.8%). Patients in the ASA group had a higher incidence of non-alcoholic steatohepatitis (NASH) and decreased rates of hepatic decompensation than those not on ASA. Patients with ASA use had lower incidence of sepsis (2.76% vs. 3.54%), shock (4.86% vs. 8.23%), AKI (30.9% vs. 33.4%), ICU admission (3.88% vs. 7.4%) and in-hospital mortality (5.18% vs. 9.87%). After adjusting for confounding factors, ASA use was associated with a 30% lower risk of in-hospital mortality (adjusted odds ratio (aOR): 0.70, 95% confidence interval (CI): 0.60 - 0.82, P < 0.001). ASA users also had 21% lower odds of developing shock (aOR: 0.79, 95% CI: 0.67 - 0.94, P = 0.007) and 31% lower odds of requiring ICU admission (aOR: 0.69, 95% CI: 0.54 - 0.78, P < 0.001). Conclusions: Our study noted that patients on long-term ASA use had better in-hospital outcomes such as mortality, shock, and ICU admissions compared to non-ASA users. These findings are of interest, and further randomized clinical trials confirming the benefits of ASA in improving outcomes in HCC patients need to be conducted.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".