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Background <p>Sepsis commonly leads to fluid and electrolyte imbalances, often reflected in abnormal serum osmolality. Although static measurements of osmolality have been investigated, the prognostic significance of dynamic changes in serum osmolality over time remains poorly understood in patients with sepsis.</p> Methods <p>We conducted a comprehensive analysis of 22,737 septic patients from the MIMIC-IV and eICU-CRD databases, with external validation performed using an independent cohort of 303 patients from Zhejiang Provincial People's Hospital. Latent class trajectory modeling was applied to identify distinct patterns of serum osmolality during the first 4&#xa0;days in the ICU. The association between trajectory patterns and mortality was assessed using Cox proportional hazards regression. Mediation analysis was employed to explore potential biological mechanisms, while parametric g-formula simulations were used to evaluate the impact of trajectory-specific fluid management strategies.</p> Results <p>Three distinct serum osmolality trajectories were identified: stable (ST), ascending (AS), and descending (DS). Compared to the ST group, both the AS and DS groups were associated with significantly higher 28-day mortality (HR 1.80, 95% CI 1.61–2.01 for AS; HR 1.83, 95% CI 1.62–2.06 for DS). Mediation analysis indicated that renal dysfunction (accounting for 11.16% of the total effect, <i>P</i> &lt; 0.001) and cumulative positive fluid balance (11.39%, <i>P</i> &lt; 0.001) partially mediated the observed associations. Parametric g-formula simulations revealed substantial heterogeneity in responses to fluid management across trajectory groups, with optimal fluid strategies varying significantly by trajectory pattern and patient characteristics.</p> Conclusion <p>Dynamic serum osmolality trajectories are independent predictors of mortality in sepsis, with effects partially mediated through renal dysfunction and fluid imbalance. These findings support the implementation of trajectory-guided precision fluid therapy as a novel framework for individualized sepsis care, challenging one-size-fits-all approaches and offering evidence-based guidance for personalized treatment strategies.</p>

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Association between serum osmolality trajectories and mortality in sepsis patients: a retrospective multi-cohort study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月25日

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  • Kun Fang,
  • Jiacheng Shen,
  • Bangchuan Hu,
  • Ziqiang Shao,
  • Li Li

摘要

Background

Sepsis commonly leads to fluid and electrolyte imbalances, often reflected in abnormal serum osmolality. Although static measurements of osmolality have been investigated, the prognostic significance of dynamic changes in serum osmolality over time remains poorly understood in patients with sepsis.

Methods

We conducted a comprehensive analysis of 22,737 septic patients from the MIMIC-IV and eICU-CRD databases, with external validation performed using an independent cohort of 303 patients from Zhejiang Provincial People's Hospital. Latent class trajectory modeling was applied to identify distinct patterns of serum osmolality during the first 4 days in the ICU. The association between trajectory patterns and mortality was assessed using Cox proportional hazards regression. Mediation analysis was employed to explore potential biological mechanisms, while parametric g-formula simulations were used to evaluate the impact of trajectory-specific fluid management strategies.

Results

Three distinct serum osmolality trajectories were identified: stable (ST), ascending (AS), and descending (DS). Compared to the ST group, both the AS and DS groups were associated with significantly higher 28-day mortality (HR 1.80, 95% CI 1.61–2.01 for AS; HR 1.83, 95% CI 1.62–2.06 for DS). Mediation analysis indicated that renal dysfunction (accounting for 11.16% of the total effect, P < 0.001) and cumulative positive fluid balance (11.39%, P < 0.001) partially mediated the observed associations. Parametric g-formula simulations revealed substantial heterogeneity in responses to fluid management across trajectory groups, with optimal fluid strategies varying significantly by trajectory pattern and patient characteristics.

Conclusion

Dynamic serum osmolality trajectories are independent predictors of mortality in sepsis, with effects partially mediated through renal dysfunction and fluid imbalance. These findings support the implementation of trajectory-guided precision fluid therapy as a novel framework for individualized sepsis care, challenging one-size-fits-all approaches and offering evidence-based guidance for personalized treatment strategies.