Evidence map›Paper›PMID 42057084›Full record

ArticleCritical care (London, England)2026

Blood pressure response index trajectories identify distinct hemodynamic phenotypes and predict mortality in septic shock: a two-database retrospective cohort study.

Yongshi Shen, Wei Zhang, Kangni Lin, Peng Zheng, Xinwei Liu, Jinsen Weng, Yong Ye

Abstract read
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Article in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yongshi Shen *Department of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Wei Zhang *Department of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Kangni Lin *Department of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Peng ZhengDepartment of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Xinwei LiuDepartment of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Jinsen WengDepartment of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China. fjzzyxk@163.com.
Yong YeDepartment of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China. 13489033270@163.com.

Funding

the Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9418the Joint Funds for the Innovation of Science and Technology, Fujian Province 2024Y9613the Startup Fund for scientific research, Fujian Medical University 2023QH1166
6 · The paper itself

Abstract

backgroundVasopressor responsiveness in septic shock is typically assessed using static metrics that cannot capture temporal hemodynamic evolution. The Blood Pressure Response Index (BPRI = mean arterial pressure / Vasoactive-Inotropic Score) integrates hemodynamic response and treatment intensity into a single metric, but its longitudinal trajectory patterns remain unexplored.

methodsWe applied latent class mixed models to BPRI trajectories during the first 48 h of vasopressor therapy in 4,389 septic shock patients from MIMIC-IV (development cohort). External validation was performed via parameter transport to 1,240 eICU-CRD patients. The prognostic significance of trajectory phenotypes was assessed using multivariable logistic and Cox regression with a three-level adjustment framework, restricted mean survival time analysis, and incremental predictive value assessment beyond conventional severity scores.

resultsSix distinct hemodynamic phenotypes were identified with ICU mortality ranging from 21.9% (C3 Responders) to 54.5% (C2 Non-Responders). Parameter transport validation showed preserved class separation and prognostic gradient (average posterior probability 0.960) in eICU-CRD. After full multivariable adjustment, C2 (OR 3.67, 95% CI 2.76-4.86) and C1 (OR 2.68, 95% CI 2.08-3.46) remained independently associated with ICU mortality. Restricted mean survival time analysis showed the largest adjusted losses for C2 (- 2.56 days at τ = 14 days) with minimal attenuation from unadjusted estimates, suggesting an association that persisted after comprehensive adjustment. Adding trajectory classification to severity scores yielded statistically significant incremental discrimination (ΔAUC + 0.020, P < 0.001), while static BPRI added no further information.

conclusionsBPRI trajectory analysis identifies six hemodynamic phenotypes in septic shock that are validated in an independent external database, are independently associated with mortality, and capture temporal hemodynamic response patterns missed by static assessments. These phenotypes may facilitate risk stratification and enrichment strategies for clinical trials targeting vasopressor-dependent patients.

Indexed as

Blood PressureHemodynamicsShock, SepticAgedCohort StudiesFemaleHumansIntensive Care UnitsLogistic ModelsMalePhenotypePredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesVasoconstrictor AgentsVasoconstrictor AgentsBlood Pressure Response IndexICU mortalitySepsisTrajectory analysis

Identifiers

PMID42057084
PMCPMC13154610

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.