ArticleBMC infectious diseases2023
Influence of systolic blood pressure trajectory on in-hospital mortality in patients with sepsis.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 22 citations in OpenAlex.
- Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques.Scientific reports · 2026Article
- Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department.BMC emergency medicine · 2026Article
- Prediction-guided clustering for sepsis phenotyping: a retrospective cohort analysis.Intensive care medicine experimental · 2026Article
- Trajectory of early creatinine change is associated with the prognosis of sepsis patients.BMC infectious diseases · 2026Article
- Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis.Journal of personalized medicine · 2026Review
- Article
- Development and validation of machine learning models to predict in-hospital mortality in ICU patients with sepsis and chronic kidney disease.BMC infectious diseases · 2025Article
- Predictive value of combined inflammatory markers for septic cardiomyopathy: a retrospective study.BMC infectious diseases · 2025Article
- Influence of age-adjusted shock index trajectories on 30-day mortality for critical patients with septic shock.Frontiers in medicine · 2025Article
- A Multivariate Phenotypical Approach of Sepsis and Septic Shock-A Comprehensive Narrative Literature Review.Medicina (Kaunas, Lithuania) · 2024Review
- Clinical phenotypes of sepsis: a narrative review.Journal of thoracic disease · 2024Review
- Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.The Journal of infection · 2024Article
- Review
- Association Between Plasma Levels of Monocyte Chemoattractant Protein-1 (MCP-1) and 28-Day Mortality in Elderly Patients with Sepsis: A Retrospective Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Association Between Systolic Blood Pressure and in-Hospital Mortality Among Congestive Heart Failure Patients with Chronic Obstructive Pulmonary Disease in the Intensive Care Unit: A Retrospective Cohort Study.International journal of chronic obstructive pulmonary disease · 2024Article
- Clinical Sepsis Phenotypes in Critically Ill Patients.Microorganisms · 2023Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundNumerous studies have investigated the mean arterial pressure in patients with sepsis, and many meaningful results have been obtained. However, few studies have measured the systolic blood pressure (SBP) multiple times and established trajectory models for patients with sepsis with different SBP trajectories.
methodsData from patients with sepsis were extracted from the Medical Information Mart for Intensive Care-III database for inclusion in a retrospective cohort study. Ten SBP values within 10 h after hospitalization were extracted, and the interval between each SBP value was 1 h. The SBP measured ten times after admission was analyzed using latent growth mixture modeling to construct a trajectory model. The outcome was in-hospital mortality. The survival probability of different trajectory groups was investigated using Kaplan-Meier (K-M) analysis, and the relationship between different SBP trajectories and in-hospital mortality risk was investigated using Cox proportional-hazards regression model.
resultsThis study included 3034 patients with sepsis. The median survival time was 67 years (interquartile range: 56-77 years). Seven different SBP trajectories were identified based on model-fit criteria. The in-hospital mortality rates of the patients in trajectory classes 1-7 were 25.5%, 40.5%, 11.8%, 18.3%, 23.5%, 13.8%, and 10.5%, respectively. The K-M analysis indicated that patients in class 2 had the lowest probability of survival. Univariate and multivariate Cox regression analysis indicated that, with class 1 as a reference, patients in class 2 had the highest in-hospital mortality risk (P < 0.001). Subgroup analysis indicated that a nominal interaction occurred between age group and blood pressure trajectory in the in-hospital mortality (P < 0.05).
conclusionMaintaining a systolic blood pressure of approximately 140 mmHg in patients with sepsis within 10 h of admission was associated with a lower risk of in-hospital mortality. Analyzing data from multiple measurements and identifying different categories of patient populations with sepsis will help identify the risks among these categories.
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