Trial reportIntensive care medicine2016
Plasma cytokine levels predict response to corticosteroids in septic shock.
Trial report in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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
25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- The Impact on the Clinical Prognosis of Low Serum Selenium Level in Patients with Severe Trauma: Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- The Impact of Selenium Supplementation on Trauma Patients-Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- Trends in sepsis mortality over time in randomised sepsis trials: a systematic literature review and meta-analysis of mortality in the control arm, 2002-2016.Critical care (London, England) · 2019Pooled it
- The Association between the rs3747406 Polymorphism in the Glucocorticoid-Induced Leucine Zipper Gene and Sepsis Survivals Depends on the SOFA Score.International journal of molecular sciences · 2024Article
- Glucocorticoid use in acute respiratory failure from pulmonary causes and association with early changes in the systemic host immune response.Intensive care medicine experimental · 2024Article
- Changes in Cortisol Secretion and Corticosteroid Receptors in COVID-19 and Non COVID-19 Critically Ill Patients with Sepsis/Septic Shock and Scope for Treatment.Biomedicines · 2023Review
- Multi-Omics Endotypes in ICU Sepsis-Induced Immunosuppression.Microorganisms · 2023Review
- Evaluation of Biomarkers from Peritoneal Fluid as Predictors of Severity for Abdominal Sepsis Patients Following Emergency Laparotomy.Journal of inflammation research · 2023Article
- Glucocorticoid therapy in respiratory illness: bench to bedside.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2022Review
- A plea for personalization of the hemodynamic management of septic shock.Critical care (London, England) · 2022Review
- From Cytokine Storm to Cytokine Breeze: Did Lessons Learned from Immunopathogenesis Improve Immunomodulatory Treatment of Moderate-to-Severe COVID-19?Biomedicines · 2022Review
- Inflammation and Cell Death of the Innate and Adaptive Immune System during Sepsis.Biomolecules · 2021Review
- Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock.Frontiers in immunology · 2021Article
- The RNFT2/IL-3Rα axis regulates IL-3 signaling and innate immunity.JCI insight · 2020Article
- Association of Initial Low Serum Selenium Level with Infectious Complications and 30-Day Mortality in Multiple Trauma Patients.Nutrients · 2019Article
- Thinking forward: promising but unproven ideas for future intensive care.Critical care (London, England) · 2019Article
- When and how to use predictive biomarkers for corticosteroid treatment of septic shock.Critical care (London, England) · 2018Article
- Immune therapy in sepsis: Are we ready to try again?Journal of the Intensive Care Society · 2018Review
- Article
- Is There a Role for Hematopoietic Growth Factors During Sepsis?Frontiers in immunology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate if plasma cytokine concentrations predict a beneficial response to corticosteroid treatment in septic shock patients.
methodsA cohort of septic shock patients in whom a panel of 39 cytokines had been measured at baseline (n = 363) was included. Patients who received corticosteroids were propensity score matched to non-corticosteroid-treated patients. An optimal threshold to identify responders to corticosteroid treatment for each cytokine was defined as the concentration above which the odds ratio for 28-day survival between corticosteroid- and non-corticosteroid-treated patients was highest.
resultsPropensity score matching partitioned 165 patients into 61 sets; each set contained matched corticosteroid- and non-corticosteroid-treated patients. For 13 plasma cytokines threshold concentrations were found where the odds ratio for survival between corticosteroid- and non-corticosteroid-treated patients was significant (P < 0.05). CD40 ligand was associated with the highest odds ratio and identified 21 % of the patients in the propensity score matched cohort as responders to corticosteroid treatment. Combinations of triplets of cytokines with a significant odds ratio, using the thresholds identified above, were tested to find a higher proportion of responders. IL3, IL6, and CCL4 identified 50 % of the patients in the propensity score matched cohort as responders to corticosteroid treatment. The odds ratio for 28-day survival was 19 (95 % CI 3.5-140, P = 0.02) with a concentration above threshold for a least one of these cytokines.
conclusionPlasma concentration of selected cytokines is a potential predictive biomarker to identify septic shock patients that may benefit from treatment with corticosteroids.
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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.