Hemodynamic trajectory phenotypes may modify associations between corticosteroid timing and outcomes in septic shock

Corticosteroid trials in septic shock show conflicting results, with patient heterogeneity and treatment timing as likely contributors. We evaluated whether associations between corticosteroid timing and clinical outcomes differed by hemodynamic trajectory phenotype defined by dynamic time warping clustering of Blood Pressure-Vasopressor Index (BPRI) trajectories across three ICU cohorts. We conducted a retrospective cohort study using MIMIC-IV as the derivation cohort and eICU-CRD and PINES as validation cohorts. Adult patients with septic shock receiving vasopressors were included. Hemodynamic phenotypes were identified from 168-h BPRI trajectories. Corticosteroid timing was classified as early (≤ 6 h) or late (> 6 h) after sepsis onset. In MIMIC-IV, inverse probability of treatment weighting with cause-specific Cox regression was used to estimate associations between timing and 28-day mortality, hospital length of stay, and ventilation duration within each phenotype. Validation cohorts were analyzed using multivariable Cox regression, and cohort-specific estimates were summarized using random-effects meta-analysis with I2. Two phenotypes were identified in MIMIC-IV: Deteriorated (N=2,082, 38%), with declining hemodynamics and higher mortality, and Improved (N=3,361, 62%), with stable or rising trajectories. Similar trajectory patterns were observed in eICU-CRD and PINES. In the Deteriorated phenotype, late corticosteroids were associated with lower 28-day mortality in MIMIC-IV (HR 0.88 [0.78–0.98]) and shorter ventilation duration (HR 0.65 [0.58–0.73]) compared with early administration. The mortality association was not consistently replicated in validation cohorts, whereas the ventilation association was observed in PINES Deteriorated patients. In the Improved phenotype, late steroids showed no consistent mortality or hospital length-of-stay association. Exploratory hemodynamic response analysis showed a more favorable BPRI slope for late versus early steroids in the Deteriorated phenotype. Hemodynamic trajectory phenotypes identified clinically meaningful variation in the relationship between corticosteroid timing and outcomes in septic shock. In the Deteriorated phenotype, delayed corticosteroid initiation was associated with lower 28-day mortality and shorter recovery, whereas the Improved phenotype showed no mortality advantage from delayed treatment. These findings support incorporating dynamic hemodynamic trajectories into future studies of corticosteroid timing in septic shock.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Monitoring and Computing
Published
2026-10-09
DOI
https://doi.org/10.1007/s10877-026-01513-0
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hemodynamic trajectory phenotypes may modify associations between corticosteroid timing and outcomes in septic shock

沈佳伟, Fengxue Zhu, Guangjie Wang, Chang Sun et al.
Journal of Clinical Monitoring and Computing
Sepsis Diagnosis and Treatment
article

Hemodynamic trajectory phenotypes may modify associations between corticosteroid timing and outcomes in septic shock

沈佳伟, Fengxue Zhu, Guangjie Wang, Chang Sun, Xiujuan Zhao, Shu Li
article en

Abstract

Corticosteroid trials in septic shock show conflicting results, with patient heterogeneity and treatment timing as likely contributors. We evaluated whether associations between corticosteroid timing and clinical outcomes differed by hemodynamic trajectory phenotype defined by dynamic time warping clustering of Blood Pressure-Vasopressor Index (BPRI) trajectories across three ICU cohorts. We conducted a retrospective cohort study using MIMIC-IV as the derivation cohort and eICU-CRD and PINES as validation cohorts. Adult patients with septic shock receiving vasopressors were included. Hemodynamic phenotypes were identified from 168-h BPRI trajectories. Corticosteroid timing was classified as early (≤ 6 h) or late (> 6 h) after sepsis onset. In MIMIC-IV, inverse probability of treatment weighting with cause-specific Cox regression was used to estimate associations between timing and 28-day mortality, hospital length of stay, and ventilation duration within each phenotype. Validation cohorts were analyzed using multivariable Cox regression, and cohort-specific estimates were summarized using random-effects meta-analysis with I2. Two phenotypes were identified in MIMIC-IV: Deteriorated (N=2,082, 38%), with declining hemodynamics and higher mortality, and Improved (N=3,361, 62%), with stable or rising trajectories. Similar trajectory patterns were observed in eICU-CRD and PINES. In the Deteriorated phenotype, late corticosteroids were associated with lower 28-day mortality in MIMIC-IV (HR 0.88 [0.78–0.98]) and shorter ventilation duration (HR 0.65 [0.58–0.73]) compared with early administration. The mortality association was not consistently replicated in validation cohorts, whereas the ventilation association was observed in PINES Deteriorated patients. In the Improved phenotype, late steroids showed no consistent mortality or hospital length-of-stay association. Exploratory hemodynamic response analysis showed a more favorable BPRI slope for late versus early steroids in the Deteriorated phenotype. Hemodynamic trajectory phenotypes identified clinically meaningful variation in the relationship between corticosteroid timing and outcomes in septic shock. In the Deteriorated phenotype, delayed corticosteroid initiation was associated with lower 28-day mortality and shorter recovery, whereas the Improved phenotype showed no mortality advantage from delayed treatment. These findings support incorporating dynamic hemodynamic trajectories into future studies of corticosteroid timing in septic shock.

Journal of Clinical Monitoring and Computing
Peking University People's Hospital (CN)
Openalex Percentile: Top 12%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.