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Recombinant Human Interleukin 1 Receptor Antagonist in the Treatment of Patients With Sepsis Syndrome: Results From a Randomized, Double-blind, Placebo-Controlled Trial
Abstract
Objective. —To further define the safety and efficacy of recombinant human interleukin 1 receptor antagonist (rhIL-1ra) in the treatment of sepsis syndrome. Study Design. —Randomized, double-blind, placebo-controlled, multicenter, multinational clinical trial. Population. —A total of 893 patients with sepsis syndrome received an intravenous loading dose of rhIL-1ra, 100 mg, or placebo followed by a continuous 72-hour intravenous infusion of rhIL-1ra (1.0 or 2.0 mg/kg per hour) or placebo. Outcome Measure. —Twenty-eight—day all-cause mortality. Results. —There was not a significant increase in survival time for rhIL-1ra treatment compared with placebo among all patients who received the study medication (n=893; generalized Wilcoxon statistic,P=.22) or among patients with shock at study entry (n=713; generalized Wilcoxon statistic,P=.23), the two primary efficacy analyses specified a priori for this trial. Results from secondary analyses suggest an increase in survival time with rhIL-1ra treatment among patients with dysfunction of one or more organs (n=563; linear dose-response,P=.009). Retrospective analysis demonstrated an increase in survival time with rhIL-1ra treatment among patients with a predicted risk of mortality of 24% or greater (n=580; linear dose-response,P=.005) as well as among patients with both dysfunction of one or more organs and a predicted risk of mortality of 24% or greater (n=411; linear dose-response,P=.002). Conclusions. —There was not a statistically significant increase in survivial time for rhIL-1ra treatment compared with placebo among all patients who received the study medication or among patients with shock at study entry. Secondary and retrospective analyses of efficacy suggest that treatment with rhIL-1ra results in a dose-related increase in survival time among patients with sepsis who have organ dysfunction and/or a predicted risk of mortality of 24% or greater. (JAMA. 1994;271:1836-1843)
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“The administration of monoclonal antibodies directed at specific cytokines and the use of apheresis or medical devices to remove cytokines from circulation have had generally disappointing results in clinical trials.62”
From Cytokine storm (2020) · cites this paper as [62]
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Du, Y., Liu, M., Nigrovic, P. A., Dedeoğlu, F., & Lee, P. Y. (2023) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2022.12.816 · Cited by 24
Charlesworth, J. E. G., & Kavirayani, A. (2023) · European Journal Of Haematology · doi:10.1111/ejh.14029 · Cited by 25
Metadata
- Authors
- Fisher, C. J.
- Corresponding author
- Fisher, Charles J.
- ORCID
- Fisher, Charles J.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1994-06-15
- Volume
- 271
- Issue
- 23
- Pages
- 1836
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4322697531
- Cited by
- 790
- References
- 0
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 18 · 2023: 28 · 2022: 15 · 2021: 18 · 2020: 32 · 2019: 23 · 2018: 24 · 2017: 22 · 2016: 19 · 2015: 18 · 2014: 30 · 2013: 20 · 2012: 22
- FWCI
- 37.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
- Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
- Health Sciences › Medicine › Pharmacology (medical) › Antibiotics Pharmacokinetics and Efficacy
- Keywords
- sepsis, septic shock, survival, organ dysfunction, mortality risk, dose-response relationship, drug safety, cytokine inhibition
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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