Evidence map›Paper›PMID 34892822›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2021

Catheter-mounted smart hydrogel ultrasound resonators for intravenous analyte monitoring.

Prattay D Kairy, Navid Farhoudi, Simon Binder, Jules J Magda, Kai Kuck, Florian Solzbacher, Christopher F Reiche

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Prattay D Kairy
Navid Farhoudi
Simon Binder
Jules J Magda
Kai Kuck
Florian Solzbacher
Christopher F Reiche

Funding

Continuous real-time fentanyl sensor platform based on smart hydrogels for application in anesthesiaR41GM130241 · NIGMS · SENTIOMED, INC. · PI KUCK, KAI · 2019 to 2019
$223k
NIGMS NIH HHS R41 GM130241
6 · The paper itself

Abstract

Continuous monitoring of drug concentrations in blood plasma can be beneficial to guide individualized drug administration. High interpatient variability in required dosage and a small therapeutic window of certain drugs, such as anesthetic medications, can cause risks and challenges in accurate dosing during administration. In this work, we present a sensing platform concept using a smart hydrogel micro resonator sheet with medical ultrasound readout that is integrated on the top of a catheter. This concept is validated in-vitro using glucose as an easy to access and handle target analyte. In the case of continuous glucose measurement, our novel catheter-mounted sensing platform allows the detection of glucose concentrations in the range of 0 mM to 12 mM. While these experiments use a well-known glucose-sensitive smart hydrogel for proof-of-principle experiments, this new sensing platform is intended to provide the basis for continuous monitoring of various intravenously applied medications. Selectivity to different drugs, e.g., fentanyl, can be accomplished by developing a corresponding smart hydrogel composition.Clinical Relevance- Many intravenous medications, especially anesthetics, show considerable pharmacokinetic inter-subject variability. Continuous monitoring of intravenous analyte concentrations would enable individualizing the administration of these drugs to the specific patient.

Indexed as

GlucoseHydrogelsCathetersHumansUltrasonographyGlucoseHydrogels

Identifiers

PMID34892822
PMCPMC10688543

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Registered trials

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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.