ArticleInternal and emergency medicine2026
Machine learning phenotypes and heterogeneous albumin effects in cirrhotic AKI: a causal inference study.
Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current guidelines recommend albumin infusion as a first-line treatment for acute kidney injury (AKI) in patients with cirrhosis. However, recent large-scale randomized trials have questioned its universal benefit. We aimed to identify distinct pathophysiological subphenotypes of cirrhotic AKI using machine learning and to evaluate the heterogeneous treatment effects of albumin infusion across these groups. A retrospective cohort study was conducted using the MIMIC-IV (v3.1) database, including 3209 critically ill patients with cirrhosis and AKI. Unsupervised K-means clustering was applied to eight clinical variables (creatinine, bilirubin, INR, sodium, lactate, platelets, mean arterial pressure [MAP], and baseline albumin) to derive phenotypes. The causal effect of albumin infusion within 48 h of ICU admission on 28-day mortality was assessed using inverse probability of treatment weighting (IPTW)-adjusted Cox proportional hazards models. Three distinct phenotypes were identified: Phenotype A (severe hepatic failure type, N = 405), Phenotype B (hemodynamically stable type, N = 1390), and Phenotype C (typical decompensated type, N = 1414). In the overall population, after adjustment for an expanded set of confounders, albumin infusion was associated with a modest increase in mortality (adjusted HR, 1.211; 95%CI 1.046-1.401). However, significant treatment heterogeneity was observed. In Phenotype B, characterized by the highest MAP (75.8 mmHg) and lowest bilirubin (1.15 mg/dL), albumin infusion was associated with an approximately 1.7-fold increase in the risk of 28-day mortality (adjusted HR, 1.744; 95%CI 1.312-2.320; p < 0.001). Conversely, Phenotype A, representing patients with extreme hyperbilirubinemia, exhibited a potential but non-significant protective trend (HR, 0.895; 95%CI 0.643-1.245). Albumin infusion in cirrhotic AKI exhibits a divergent treatment response dictated by baseline pathophysiological phenotypes. For patients with relatively stable hemodynamics and low inflammatory burden (Phenotype B), aggressive albumin therapy may be harmful, potentially due to fluid overload and cardiorenal congestion. These findings advocate for a phenotype-driven, precision medicine approach rather than a "one-size-fits-all" strategy for volume expansion in cirrhosis.
Indexed as
Identifiers
42384297What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.