High‐Intensity Statin Reduces the Risk of Mortality Among Chronic Liver Disease Patients With Atherosclerotic Cardiovascular Disease: A Population‐Based Cohort Study
Bibliographic record
Abstract
Background 2018 American Heart Association/American College of Cardiology cholesterol guideline recommends statin in patients with chronic and/or stable liver disease for secondary prevention of atherosclerotic cardiovascular disease yet remains equivocal on the adequate intensity of statin for patients with chronic liver disease (CLD). We aimed to assess the association between statin intensity and mortality among patients with CLD with atherosclerotic cardiovascular disease. Methods and Results We conducted a population-based cohort study in South Korea. We assessed the risk of survival and clinical outcomes using inverse probability of treatment-weighted Cox proportional hazards regression. We also estimated the absolute risk difference between treatment groups based on the Poisson distribution. During an average of 2.35 person-years, 10 442 patients with CLD with atherosclerotic cardiovascular disease were identified. Among those patients, 5515 (52.8%) received high-intensity statin, and 4927 (47.2%) received low/moderate-intensity statin. High-intensity statin was associated with lower risk for all-cause mortality (hazard ratio [HR], 0.83 [95% CI, 0.75-0.92]), cardiovascular-cause mortality (HR, 0.85 [0.71-1.01]), liver-cause mortality (HR, 0.72 [0.54-0.97]) compared with low/moderate-intensity statin. Although both hospitalizations for recurrent myocardial infarction and stroke were shown to be increased among high-intensity statin users, effect estimate was homogeneous in the absolute scale (myocardial infarction: HR, 1.12 [1.04-1.19], risk difference, 7.57 [-0.69 to 15.84] per 1000 person-years; stroke: HR, 1.11 [0.97 to 1.27]; risk difference, -1.70 [-5.19 to 1.78]). Conclusions Among patients with CLD with atherosclerotic cardiovascular disease, high-intensity statin was significantly associated with a lower risk of mortality. These findings herein support the guidelines for statin use in patients with CLD while demonstrating potential benefit of optimal intensity use.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".