Evidence map›Paper›PMID 29777581›Full record

ArticleJournal of biomedical optics2018

In vivo performance of a visible wavelength optical sensor for monitoring intestinal perfusion and oxygenation.

Mitchell B Robinson, Anna M Wisniowiecki, Ryan J Butcher, Mark A Wilson, M Nance Ericson, Gerard L Cote

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Mitchell B RobinsonTexas A&M University, Optical Biosensing Laboratory, Department of Biomedical Engineering, College S, United States.
Anna M WisniowieckiTexas A&M University, Optical Biosensing Laboratory, Department of Biomedical Engineering, College S, United States.
Ryan J ButcherTexas A&M University, Optical Biosensing Laboratory, Department of Biomedical Engineering, College S, United States.
Mark A WilsonVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States.
M Nance EricsonConsultant, Knoxville, Tennessee, United States.
Gerard L CoteTexas A&M University, Optical Biosensing Laboratory, Department of Biomedical Engineering, College S, United States.
Optica · USTexas A&M University · USVA Pittsburgh Healthcare System · US

Funding

Wireless Sensor for Guiding Severe Trauma ResuscitationR21EB020398 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI COTE, GERARD L. · 2015 to 2016
$404k
NIBIB NIH HHS R21 EB020398
6 · The paper itself

Abstract

Traumatic injury resulting in hemorrhage is a prevalent cause of death worldwide. The current standard of care for trauma patients is to restore hemostasis by controlling bleeding and administering intravenous volume resuscitation. Adequate resuscitation to restore tissue blood flow and oxygenation is critical within the first hours following admission to assess severity and avoid complications. However, current clinical methods for guiding resuscitation are not sensitive or specific enough to adequately understand the patient condition. To better address the shortcomings of the current methods, an approach to monitor intestinal perfusion and oxygenation using a multiwavelength (470, 560, and 630 nm) optical sensor has been developed based on photoplethysmography and reflectance spectroscopy. Specifically, two sensors were developed using three wavelengths to measure relative changes in the small intestine. Using vessel occlusion, systemic changes in oxygenation input, and induction of hemorrhagic shock, the capabilities and sensitivity of the sensor were explored in vivo. Pulsatile and nonpulsatile components of the red, blue, and green wavelength signals were analyzed for all three protocols (occlusion, systemic oxygenation changes, and shock) and were shown to differentiate perfusion and oxygenation changes in the jejunum. The blue and green signals produced better correlation to perfusion changes during occlusion and shock, while the red and blue signals, using a new correlation algorithm, produced better data for assessing changes in oxygenation induced both systemically and locally during shock. The conventional modulation ratio method was found to be an ineffective measure of oxygenation in the intestine due to noise and an algorithm was developed based on the Pearson correlation coefficient. The method utilized the difference in phase between two different wavelength signals to assess oxygen content. A combination of measures from the three wavelengths provided verification of oxygenation and perfusion states, and showed promise for the development of a clinical monitor.

Indexed as

JejunumSignal Processing, Computer-AssistedAlgorithmsAnimalsBlood PressureEquipment DesignMonitoring, PhysiologicOximetryOxygenPhotoplethysmographyRabbitsRegional Blood FlowShock, HemorrhagicOxygenhemorrhageoxygenationperfusionshockspectroscopy

Identifiers

PMID29777581
PMCPMC5981030
OpenAlexW2804183144

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.