Prognosis of systemic inflammation at an early stage of cirrhosis using the monocyte-to-lymphocyte ratio during malnutrition risk screening: a prospective cohort study
Bibliographic record
Abstract
To determine whether the monocyte-to-lymphocyte ratio (MLR), as a systemic inflammation index, predicts malnutrition risk during the early stages of cirrhosis. We conducted a single-center prospective cohort study, enrolling patients from June 2016 to September 2020. The patients underwent malnutrition risk assessments upon admission. The patients were classified into five clinical stages according to portal hypertension. The malnutrition risk was scored using the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) and validated by the Nutritional Risk Screening 2002 (NRS-2002) or Liver Disease Undernutrition Screening Tool (LDUST). Routine clinical laboratory measurements were performed to calculate the MLR, Child–Turcotte–Pugh (CTP) class, and model for end-stage liver disease (MELD) score. The patients were followed up for 2 years. Among the 154 patients with cirrhosis, 60 had compensated cirrhosis and 94 had decompensated cirrhosis. The optimal cutoff value of the MLR, >0.4, was effective in predicting malnutrition related to death or liver transplantation. Those with a high malnutrition risk defined by the NRS-2002 or RFH-NPT had a higher MLR than those with a low malnutrition risk. For patients with class A CTP cirrhosis or a MELD score of <10, an MLR cutoff of <0.4 significantly distinguished more patients with a low malnutrition risk than those with a high malnutrition risk. Both the RFH-NPT score and MLR increased significantly across the decompensated cirrhosis substages. Interestingly, the MLR exhibited a positive correlation with the RFH-NPT score until varices appeared, but the correlation was the highest at the substage of a history of variceal bleeding (r = 0.714, P = 0.009). Multivariable analysis demonstrated that an MLR of >0.4 was an independent factor for malnutrition risk by screening with the RFH-NPT, and this was confirmed using the LDUST and NRS-2002. Immune-related inflammatory dysfunction predicts malnutrition risk during the early stages of cirrhosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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".