The value of serum ischemia-modified albumin for assessing liver function in patients with chronic liver disease
Bibliographic record
Abstract
BACKGROUND: Ischemia-modified albumin (IMA), measured by the cobalt-binding capacity of albumin, is a promising biomarker for cardiac ischemia. The IMA-to-serum albumin ratio (IMAR) has been reported to relate to the severity of decompensated liver cirrhosis. This study aimed to assess IMA and IMAR as a liver function test and to investigate whether albumin infusion changes IMAR in patients with liver cirrhosis. METHODS: Blood samples were collected from healthy volunteers (n=51) and patients with chronic hepatitis (n=25), liver cirrhosis (n=24) and uremia (n=13). Parameters examined included serum levels of IMA, albumin, total bilirubin, creatinine, international normalized ratio (INR), model for end-stage liver disease (MELD) score, child-turcotte-pugh (CTP) score, indocyanine green (ICG) retention rate and total antioxidant capacity (TAC). Paired serum samples from patients pre- and post-albumin infusion (n=9) were collected and the changes were compared. RESULTS: IMA and IMAR increased in patients with chronic hepatitis or cirrhosis, as compared to healthy volunteers. In patients with liver disease, IMA and IMAR were significantly associated with ICG retention, bilirubin, TAC and INR. In addition, IMAR was associated with CTP and MELD score in patients with cirrhosis. Albumin therapy improved patients' serum levels of creatinine and bilirubin and MELD score, but not IMA and IMAR. CONCLUSIONS: IMAR, reflecting liver function and oxidative stress, is a more objective liver function test as it was not affected after a 3-day albumin infusion. More investigations, however, are needed to validate the use of IMAR in cases of chronic liver disease.
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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".