ArticleCritical care (London, England)2019
In-line filtration of intravenous infusion may reduce organ dysfunction of adult critical patients.
Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02281604 (In-line Filters on ICU), which is not on this map. Cited by 5 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.
In-line Filters on ICU
Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- Optimization design of solution preparation methods of three poorly soluble drugs of clinical use in infusions on orthogonal test and evaluation of stability study.Biochemistry and biophysics reports · 2026Article
- MPs Entering Human Circulation through Infusions: A Significant Pathway and Health Concern.Environment & health (Washington, D.C.) · 2025Article
- Evaluation of Strategies for Reducing Vancomycin-Piperacillin/Tazobactam Incompatibility.Pharmaceutics · 2023Article
- Nursing strategies for the mechanically ventilated patient.Frontiers in veterinary science · 2023Review
- Strategies to prevent drug incompatibility during simultaneous multi-drug infusion in intensive care units: a literature review.European journal of clinical pharmacology · 2021Review
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe potential harmful effects of particle-contaminated infusions for critically ill adult patients are yet unclear. So far, only significant improved outcome in critically ill children and new-borns was demonstrated when using in-line filters, but for adult patients, evidence is still missing.
methodsThis single-centre, retrospective controlled cohort study assessed the effect of in-line filtration of intravenous fluids with finer 0.2 or 1.2 μm vs 5.0 μm filters in critically ill adult patients. From a total of n = 3215 adult patients, n = 3012 patients were selected by propensity score matching (adjusting for sex, age, and surgery group) and assigned to either a fine filter cohort (with 0.2/1.2 μm filters, n = 1506, time period from February 2013 to January 2014) or a control filter cohort (with 5.0 μm filters, n = 1506, time period from April 2014 to March 2015). The cohorts were compared regarding the occurrence of severe vasoplegia, organ dysfunctions (lung, kidney, and brain), inflammation, in-hospital complications (myocardial infarction, ischemic stroke, pneumonia, and sepsis), in-hospital mortality, and length of ICU and hospital stay.
resultsComparing fine filter vs control filter cohort, respiratory dysfunction (Horowitz index 206 (119-290) vs 191 (104.75-280); P = 0.04), pneumonia (11.4% vs 14.4%; P = 0.02), sepsis (9.6% vs 12.2%; P = 0.03), interleukin-6 (471.5 (258.8-1062.8) ng/l vs 540.5 (284.5-1147.5) ng/l; P = 0.01), and length of ICU (1.2 (0.6-4.9) vs 1.7 (0.8-6.9) days; P < 0.01) and hospital stay (14.0 (9.2-22.2) vs 14.8 (10.0-26.8) days; P = 0.01) were reduced. Rate of severe vasoplegia (21.0% vs 19.6%; P > 0.20) and acute kidney injury (11.8% vs 13.7%; P = 0.11) was not significantly different between the cohorts.
conclusionsIn-line filtration with finer 0.2 and 1.2 μm filters may be associated with less organ dysfunction and less inflammation in critically ill adult patients.
trial registrationThe study was registered at ClinicalTrials.gov (number: NCT02281604).
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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.