Observational studyCritical care medicine2020
Temperature Trajectory Subphenotypes Correlate With Immune Responses in Patients With Sepsis.
Observational study in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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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.
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Who cites it
37 citing papers in PubMed, 63 citations in OpenAlex.
- Development and validation of novel sepsis subphenotypes using trajectories of vital signs.Intensive care medicine · 2022Trial
- Fever and hypothermia represent two populations of sepsis patients and are associated with outside temperature.Critical care (London, England) · 2021Trial
- [Role and mechanism of infrared thermography in early identification of necrosis risk in random-pattern flaps of mice].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2026Article
- Association between CRP rs1800947 genotypes, dexamethasone use, postoperative CRP level and morbidity in adult cardiac surgical patients in post-hoc analysis of the observational INFLACOR cohort trial.Scientific reports · 2026Observational
- The poikilothermic hypothesis of sepsis.Critical care (London, England) · 2026Review
- Data-driven spatial-temporal framework for exploring the heterogeneity and temporality of sepsis.Chinese medical journal · 2026Review
- Temperature Trajectories Are Associated With the Prognosis of Septic Patients.Emergency medicine international · 2026Article
- Body temperature as a dynamic host-response biomarker in sepsis: trajectories and time-varying mortality risk.Frontiers in cellular and infection microbiology · 2026Article
- From vital sign trajectories to data-driven targets: defining exploratory blood gas ranges in sepsis-associated thrombocytopenia.Frontiers in medicine · 2026Article
- Subphenotyping sepsis based on organ interaction trajectory using a deep temporal graph clustering model: a retrospective cohort study.EClinicalMedicine · 2025Article
- Multivariate protein landscape of host response in hospitalised patients with suspected infection in the emergency department.Nature communications · 2025Article
- Temperature Trajectories Correlate With Cardiac Function in Patients With Sepsis.Critical care explorations · 2025Article
- Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025Review
- Identification of novel phenotypes in pediatric sepsis based on blood glucose trajectories.Frontiers in pediatrics · 2025Article
- Distinct immunological signatures define three sepsis recovery trajectories: a multi-cohort machine learning study.Frontiers in medicine · 2025Article
- Distinct immune profiles and clinical outcomes in sepsis subphenotypes based on temperature trajectories.Intensive care medicine · 2024Article
- Novel cortisol trajectory sub-phenotypes in sepsis.Critical care (London, England) · 2024Article
- Clinical phenotypes of sepsis: a narrative review.Journal of thoracic disease · 2024Review
- Article
- Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.The Journal of infection · 2024Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 1 country.
Funding
Abstract
objectivesWe recently found that distinct body temperature trajectories of infected patients correlated with survival. Understanding the relationship between the temperature trajectories and the host immune response to infection could allow us to immunophenotype patients at the bedside using temperature. The objective was to identify whether temperature trajectories have consistent associations with specific cytokine responses in two distinct cohorts of infected patients.
designProspective observational study.
settingLarge academic medical center between 2013 and 2019. SUBJECTS: Two cohorts of infected patients: 1) patients in the ICU with septic shock and 2) hospitalized patients with Staphylococcus aureus bacteremia.
interventionsClinical data (including body temperature) and plasma cytokine concentrations were measured. Patients were classified into four temperature trajectory subphenotypes using their temperature measurements in the first 72 hours from the onset of infection. Log-transformed cytokine levels were standardized to the mean and compared with the subphenotypes in both cohorts. MEASUREMENTS AND MAIN
resultsThe cohorts consisted of 120 patients with septic shock (cohort 1) and 88 patients with S. aureus bacteremia (cohort 2). Patients from both cohorts were classified into one of four previously validated temperature subphenotypes: "hyperthermic, slow resolvers" (n = 19 cohort 1; n = 13 cohort 2), "hyperthermic, fast resolvers" (n = 18 C1; n = 24 C2), "normothermic" (n = 54 C1; n = 31 C2), and "hypothermic" (n = 29 C1; n = 20 C2). Both "hyperthermic, slow resolvers" and "hyperthermic, fast resolvers" had high levels of G-CSF, CCL2, and interleukin-10 compared with the "hypothermic" group when controlling for cohort and timing of cytokine measurement (p < 0.05). In contrast to the "hyperthermic, slow resolvers," the "hyperthermic, fast resolvers" showed significant decreases in the levels of several cytokines over a 24-hour period, including interleukin-1RA, interleukin-6, interleukin-8, G-CSF, and M-CSF (p < 0.001).
conclusionsTemperature trajectory subphenotypes are associated with consistent cytokine profiles in two distinct cohorts of infected patients. These subphenotypes could play a role in the bedside identification of cytokine profiles in patients with sepsis.
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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.