ArticleJournal of intensive medicine2022
Analysis of the correlation between the longitudinal trajectory of SOFA scores and prognosis in patients with sepsis at 72 hour after admission based on group trajectory modeling.
Article in Journal of intensive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Physiological Data Integration and Predictive Modeling in Intensive Care.Life (Basel, Switzerland) · 2026Review
- Hemoglobin Trajectory Phenotypes and Neurological Outcomes in a Neurosurgical ICU Cohort.Journal of clinical medicine · 2026Article
- Comparative prognostic performance of SOFA-1 and SOFA-2 in patients with sepsis at ICU admission.Clinical medicine (London, England) · 2026Article
- Group-based trajectory modeling of blood pressure reactivity and mortality in septic patients: a retrospective study of the MIMIC-IV database.BMC infectious diseases · 2026Article
- Localized surface plasmon resonance-based point-of-care testing for pediatric sepsis.Frontiers in pediatrics · 2026Review
- Longitudinal SOFA score trajectories and risk stratification in ICU patients withFrontiers in cellular and infection microbiology · 2026Article
- Group-based trajectory modeling of anion gap and mortality in patients with sepsis: a retrospective analysis of the MIMIC-IV database.European journal of medical research · 2025Article
- Trajectory-based analysis of early mechanical ventilation PEEP levels and physiological parameter trajectories in ARDS patients and their association with the occurrence of gastrointestinal injury events.BMC pulmonary medicine · 2025Article
- Group-Based Trajectory Modeling Identifies Distinct Patterns of Sympathetic Hyperactivity Following Traumatic Brain Injury.Neurocritical care · 2025Observational
- Analysis of the correlation between the group-based trajectory modeling of serum osmolality and prognosis in patients with sepsis-associated encephalopathy at 72 h after admission.BMC infectious diseases · 2025Article
- Sepsis subphenotypes: bridging the gaps in sepsis treatment strategies.Frontiers in immunology · 2025Review
- Editorial: Case reports in intensive care medicine 2025.Frontiers in medicine · 2025Article
- A Multivariate Phenotypical Approach of Sepsis and Septic Shock-A Comprehensive Narrative Literature Review.Medicina (Kaunas, Lithuania) · 2024Review
- Group based trajectory modeling identifies distinct patterns of sympathetic hyperactivity following traumatic brain injury.Research square · 2024Article
- SOFA in sepsis: with or without GCS.European journal of medical research · 2024Article
- Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.The Journal of infection · 2024Article
- Review
- Clinical Sepsis Phenotypes in Critically Ill Patients.Microorganisms · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To identify the distinct trajectories of the Sequential Organ Failure Assessment (SOFA) scores at 72 h for patients with sepsis in the Medical Information Mart for Intensive Care (MIMIC)-IV database and determine their effects on mortality and adverse clinical outcomes. Methods: A retrospective cohort study was carried out involving patients with sepsis from the MIMIC-IV database. Group-based trajectory modeling (GBTM) was used to identify the distinct trajectory groups for the SOFA scores in patients with sepsis in the intensive care unit (ICU). The Cox proportional hazards regression model was used to investigate the relationship between the longitudinal change trajectory of the SOFA score and mortality and adverse clinical outcomes. Results: A total of 16,743 patients with sepsis were included in the cohort. The median survival age was 66 years (interquartile range: 54-76 years). The 7-day and 28-day in-hospital mortality were 6.0% and 17.6%, respectively. Five different trajectories of SOFA scores according to the model fitting standard were determined: group 1 (32.8%), group 2 (30.0%), group 3 (17.6%), group 4 (14.0%) and group 5 (5.7%). Univariate and multivariate Cox regression analyses showed that, for different clinical outcomes, trajectory group 1 was used as the reference, while trajectory groups 2-5 were all risk factors associated with the outcome ( Conclusion: This approach may help identify various groups of patients with sepsis, who may be at different levels of risk for adverse health outcomes, and provide subgroups with clinical importance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.