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Peer-reviewedCC BY 4.0Scientific Reports

Longitudinal red blood cell distribution width-to-albumin ratio trajectories are associated with 28-day mortality in sepsis-associated acute kidney injury

Abstract

Sepsis-associated acute kidney injury (SAAKI) involves rapidly evolving inflammatory and nutritional disturbances, yet most prognostic studies rely on single baseline biomarkers. We examined whether longitudinal red blood cell distribution width-to-albumin ratio (RAR) trajectories identify reproducible mortality-risk phenotypes. This multicenter retrospective study included MIMIC-IV v3.1 as the development cohort ( n = 4,273), MIMIC-III CareVue as temporal validation ( n = 1,287), and eICU-CRD v2.0 as external validation ( n = 3,195). Group-based trajectory modeling characterized 14-day RAR patterns. Multivariable Cox models evaluated 28-day all-cause mortality. Six machine-learning models predicted the highest-risk trajectory using first-24-h variables, with SHAP used for interpretation. Four trajectories were identified: Persistently Low, Moderate-Stable, Moderate-Elevated, and Persistently High. Mortality increased from 17.54% in Persistently Low to 38.48% in Persistently High. Compared with Persistently Low, Persistently High was associated with higher adjusted mortality in MIMIC-IV (HR 2.22, 95% CI 1.79–2.74), MIMIC-III CareVue (HR 3.32, 95% CI 2.31–4.78), and eICU-CRD (HR 1.71, 95% CI 1.40–2.07). XGBoost achieved AUCs of 0.895, 0.918, and 0.904, respectively. SHAP highlighted baseline RAR, lactate, other infection source, albumin, and creatinine. Longitudinal RAR trajectories identify reproducible mortality-risk phenotypes across the three cohorts and may support early risk stratification, although prospective validation is required.

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BibTeX
@article{hu2026longitudinal,
  title = {{Longitudinal red blood cell distribution width-to-albumin ratio trajectories are associated with 28-day mortality in sepsis-associated acute kidney injury}},
  author = {Xin Hu and Ping Wang and Kangxing Wang and Yugang Zou},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-69565-5},
  url = {https://www.nature.com/articles/s41598-026-69565-5},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Longitudinal red blood cell distribution width-to-albumin ratio trajectories are associated with 28-day mortality in sepsis-associated acute kidney injury
AU  - Xin Hu
AU  - Ping Wang
AU  - Kangxing Wang
AU  - Yugang Zou
PY  - 2026
DA  - 2026/10/02
JO  - Scientific Reports
DO  - 10.1038/s41598-026-69565-5
UR  - https://www.nature.com/articles/s41598-026-69565-5
AB  - Sepsis-associated acute kidney injury (SAAKI) involves rapidly evolving inflammatory and nutritional disturbances, yet most prognostic studies rely on single baseline biomarkers. We examined whether longitudinal red blood cell distribution width-to-albumin ratio (RAR) trajectories identify reproducible mortality-risk phenotypes. This multicenter retrospective study included MIMIC-IV v3.1 as the development cohort ( n = 4,273), MIMIC-III CareVue as temporal validation ( n = 1,287), and eICU-CRD v2.0 as external validation ( n = 3,195). Group-based trajectory modeling characterized 14-day RAR patterns. Multivariable Cox models evaluated 28-day all-cause mortality. Six machine-learning models predicted the highest-risk trajectory using first-24-h variables, with SHAP used for interpretation. Four trajectories were identified: Persistently Low, Moderate-Stable, Moderate-Elevated, and Persistently High. Mortality increased from 17.54% in Persistently Low to 38.48% in Persistently High. Compared with Persistently Low, Persistently High was associated with higher adjusted mortality in MIMIC-IV (HR 2.22, 95% CI 1.79–2.74), MIMIC-III CareVue (HR 3.32, 95% CI 2.31–4.78), and eICU-CRD (HR 1.71, 95% CI 1.40–2.07). XGBoost achieved AUCs of 0.895, 0.918, and 0.904, respectively. SHAP highlighted baseline RAR, lactate, other infection source, albumin, and creatinine. Longitudinal RAR trajectories identify reproducible mortality-risk phenotypes across the three cohorts and may support early risk stratification, although prospective validation is required.
SN  - 2045-2322
ER  -