ArticleFrontiers in medicine2026
Association of early chloride-bicarbonate joint phenotypes with in-hospital mortality among intensive care unit patients with sepsis: a dual-database study.
Article in Frontiers in 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.
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Abstract
Background: Associations of chloride and bicarbonate abnormalities with sepsis outcomes have been studied separately, but whether a prespecified paired classification provides reproducible and interpretable risk characterization remains uncertain. Methods: We included adults with sepsis in MIMIC-IV v3.1 and eICU v2.0. Chloride (<98, 98-107, >107 mmol/L) and bicarbonate (<22, 22-26, >26 mmol/L) defined a 3 × 3 phenotype. In-hospital mortality was analyzed using multivariable logistic regression and predictive mean matching multiple imputation. Robustness was assessed through analyses of temporal ordering, threshold selection, cross-database heterogeneity, external transportability, and first-day changes in chloride and bicarbonate. Results: The cohorts included 25,842 MIMIC-IV stays and 37,045 eICU stays, with mortality rates of 16.31% and 15.50%, respectively. In complete-case Model 3b, the phenotype was globally associated with mortality in both cohorts; the low-low contrast was individually significant in eICU but not MIMIC-IV. The low-low association was supported in multiple-imputation analyses (MIMIC-IV OR 1.276, 95% CI 1.066-1.527; eICU OR 1.507, 95% CI 1.277-1.779) and in strict pre-exposure analyses (OR 1.700 and 1.787, respectively). Formal 4-df categorical interaction tests were not significant ( Conclusions: Prespecified chloride-bicarbonate phenotypes were associated with mortality in both databases, and persistence or incident development of the low-low state during the first ICU day was associated with higher subsequent mortality. The 3 × 3 framework should therefore be interpreted primarily as a transparent, direction-preserving approach to descriptive risk characterization within a broader clinical assessment, rather than as a stand-alone prediction instrument, therapeutic threshold, or treatment guide.
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