Neutrophil–lymphocyte ratio is associated with worse outcomes in patients with cirrhosis: insights from the PRO-LIVER Registry
Bibliographic record
Abstract
BACKGROUND: Liver cirrhosis (LC) is a leading global cause of morbidity and mortality, with inflammation playing a key role in disease progression and clinical complications of LC. The Neutrophil/Lymphocyte Ratio (NLR), a readily available marker of systemic inflammation, has been linked to short-term adverse outcomes in LC, but data on long-term follow-up are limited. This study aimed to investigate the relationship between NLR and long-term all-cause mortality in an unselected cohort of LC patients. METHODS: Data were gathered from the Italian multicenter observational study "PRO-LIVER". Patients with available data to calculate NLR at baseline were included. Baseline clinical determinants of NLR and the association of NRL with all-cause mortality at 2-year follow-up were evaluated. RESULTS: From the overall cohort (n = 753), 506 patients with LC (31% female, mean age 64.8 ± 11.9 years) were included in the analysis. Median value of NLR was 2.42 (Interquartile Range [IQR]: 1.61-3.52). At baseline, patients with NLR ≥ 2.42 were more likely to have Child-Pugh B or C, hepatocellular carcinoma (HCC), or portal vein thrombosis (PVT). After a median follow-up of 21 months, 129 patients died: 44 (17%) with NLR < 2.42 and 85 (34%) with NLR ≥ 2.42 (p < 0.001). At multiple-adjusted Cox regression analysis, NLR ≥ 2.42 was independently associated with all-cause mortality (HR: 1.65; 95% CI: 1.12-2.44; p = 0.012), along with age, Child-Pugh C class, HCC and PVT. CONCLUSIONS: NLR is associated with long-term all-cause mortality in LC. NLR may serve as a potentially easily available tool to aid risk refinement in LC. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT01470547.
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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) | 0.001 | 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 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".