ArticleJournal of advanced research2026
Development and validation of dynamic clinical subphenotypes for acute pancreatitis using hematocrit and blood urea nitrogen trajectories in intensive care unit: a multicenter retrospective cohort study.
Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- [Elevation of red blood cell distribution width to hematocrit ratio is associated with increased 28-day all-cause mortality in septic patients].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- SOFA-2 score predicts mortality in pneumonia-associated sepsis: a retrospective cohort study.Critical care (London, England) · 2026Article
- Association between blood urea nitrogen trajectory phenotypes and prognosis in patients with sepsis: a multicenter retrospective cohort study.BMC infectious diseases · 2026Observational
- Clinical subtyping of severe acute pancreatitis reveals heterogeneous associations with early management strategies: a multicenter retrospective cohort study.Critical care (London, England) · 2026Article
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9 authors.
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Abstract
backgroundAcute Pancreatitis (AP) is a common gastrointestinal emergency in which early fluid therapy is critical, yet optimal strategies remain debated. Although Hematocrit (HCT) and Blood Urea Nitrogen (BUN) are recommended to guide fluid management, the prognostic value of their dynamic changes is unclear.
methodsThis multicenter retrospective cohort study utilized a development cohort from Jiangxi Province (n = 2027) and a validation cohort from the U.S. MIMIC-IV and eICU-CRD databases (n = 1381). Group-based multi-trajectory modeling (GBMTM) was applied to analyze the dynamic changes of HCT and BUN during the first week of ICU admission to identify distinct subphenotypes. Multivariate logistic regression and survival analysis were used to assess the association between each subphenotype and outcomes, including mortality and organ failure. The Boruta algorithm compared predictive importance.
resultsFive trajectory subphenotypes were identified: T1 (Renal Dysfunction Subphenotype, n = 287), T2 (Fluid-Responsive Subphenotype, n = 448), T3 (Volume-Deficient Subphenotype, n = 445), T4 (Stable Subphenotype, n = 516), and T5 (Hemodilution Subphenotype, n = 331). The T1 subphenotype had the highest mortality (36.6 % in the development cohort; adjusted OR = 16.27 (95 % CI 6.55-40.45) for in-hospital mortality in the validation cohort), while T4 had the lowest (2.7 %). Subphenotypes exhibited significantly different responses to fluid therapy: for T1, a fluid volume exceeding 4000 mL on the first day increased mortality risk; T3 tolerated a higher initial fluid load (up to 7000 mL on day one) but required fluid restriction on the second day. Consistent results in subgroup and sensitivity analyses demonstrated the robustness of this classification system.
conclusionThis study developed and validated a subphenotype classification system for the acute phase of AP based on the dynamic trajectories of HCT and BUN. It effectively distinguishes patient prognosis and responsiveness to fluid therapy, providing a crucial phenotypic framework for future randomized trials on individualized fluid management.
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