Evidence map›Paper›PMID 41955668›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2026

Identification of vital sign trajectory phenotypes and treatment response heterogeneity in critically ill patients with ischemic stroke: A multicenter study with external validation.

Lijuan Wang, Duozi Wang, Bo Tang, Jun Duan, Jie Huang

Abstract readMulticenter Study
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lijuan WangDepartment of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Duozi WangDepartment of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Bo TangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Jun DuanDepartment of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China. Electronic address: 626034880@qq.com.
Jie HuangDepartment of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China. Electronic address: huangjiesn@med.uestc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients with ischemic stroke exhibit heterogeneous hemodynamic patterns, yet previous trajectory-based studies have focused on single vital sign parameters. We conducted a multicenter retrospective cohort study to identify vital sign trajectory phenotypes, evaluate their prognostic value compared with traditional severity scores, and explore treatment response heterogeneity. Using group-based multi-trajectory modeling of six vital signs (systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, respiratory rate, and oxygen saturation) during the first 12 h after intensive care unit admission, we analyzed 3100 patients from MIMIC-IV for development and 3951 patients from eICU and Chinese Critical Care Database for external validation. Three distinct phenotypes were identified: tachycardic-tachypneic (25.6%), hypertensive-stable (37.5%), and low-diastolic quiescent (36.8%), with in-hospital mortality rates of 29.7%, 5.9%, and 14.9%, respectively. After multivariable adjustment, the tachycardic-tachypneic phenotype demonstrated significantly elevated in-hospital mortality risk compared with hypertensive-stable (HR 3.55, 95% CI 2.23-5.64), with consistent associations for 28-day (HR 4.38, 95% CI 2.97-6.46) and one-year mortality (HR 4.50, 95% CI 3.35-6.04). Phenotype-based classification outperformed SOFA, SAPS II, and Charlson index for one-year mortality prediction. Exploratory analysis revealed phenotype-specific dose-mortality associations for normal saline volumes, with tachycardic-tachypneic and hypertensive-stable phenotypes showing lower predicted mortality at higher Day 1 vol (2357-3500 mL and 1929-3500 mL), while low-diastolic quiescent showed lower predicted mortality with restricted Day 2 fluids (0-714 mL). Propofol similarly showed differential dose-mortality associations across phenotypes. These findings support trajectory-based phenotyping for early risk stratification and may inform precision-guided therapeutic approaches in critically ill ischemic stroke patients.

Indexed as

Critical IllnessIschemic StrokeVital SignsAgedBlood PressureFemaleHospital MortalityHumansMaleMiddle AgedPhenotypeRetrospective StudiesTreatment Effect HeterogeneityCritical careIschemic strokePhenotypingTreatment heterogeneityVital sign trajectory

Identifiers

PMID41955668
PMCPMC13091295

What Socratic holds

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Registered trials

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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 Socratic graph.