Literature DB >> 30989825

Phantom testing of the sensitivity and precision of a sub-epidermal moisture scanner.

Lea Peko Cohen1, Amit Gefen1.   

Abstract

The majority of pressure ulcers (PUs) including deep tissue injuries (DTIs) are preventable, and even reversible if detected in their early phase. One of the greatest barriers in PU prevention is that clinicians traditionally depended on subjective and qualitative techniques, particularly routine visual skin assessments that would only document existing, macroscopic PUs/DTIs, rather than preventing them or detecting them at their microscopic phase. At the early phase of cell damage, when a forming PU is still microscopic, there is a local increase in extracellular fluid contents within affected tissues, which is called sub-epidermal moisture (SEM). This new understanding has led to an emerging technology, a SEM Scanner (BBI LLC, Bruin Biometrics) that has been designed to effectively examine the health status of tissues, by measuring local changes in the biophysical SEM marker. In the present work, the SEM Scanner was tested under controlled laboratory conditions to experimentally determine its sensitivity and precision in identifying small (1 mL) water content changes in phantoms of the human heel and skull/face, which simulated common PU development scenarios. In both phantom configurations, the locally increased water contents resulted in consistent, statistically significant elevated SEM readings, which confirms that the SEM Scanner is able to detect fluid content changes that are as small as 1 mL. In agreement with a simplified theoretical (mathematical) SEM model, which was also developed here, changes in water contents had a consistent trend of effect on SEM delta values, which increased with each 1 mL increment in intra-tissue-substitute water contents.
© 2019 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

Entities:  

Keywords:  inflammatory response; oedema; pressure ulcer prevention; prophylaxis

Mesh:

Year:  2019        PMID: 30989825      PMCID: PMC7949411          DOI: 10.1111/iwj.13132

Source DB:  PubMed          Journal:  Int Wound J        ISSN: 1742-4801            Impact factor:   3.315


  51 in total

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5.  Subepidermal moisture detection of heel pressure injury: The pressure ulcer detection study outcomes.

Authors:  Barbara M Bates-Jensen; Heather E McCreath; Gojiro Nakagami; Anabel Patlan
Journal:  Int Wound J       Date:  2017-12-17       Impact factor: 3.315

6.  Early use of noninvasive positive pressure ventilation for acute lung injury: a multicenter randomized controlled trial.

Authors:  Qingyuan Zhan; Bing Sun; Lirong Liang; Xixin Yan; Lutao Zhang; Jingping Yang; Ling Wang; Zhuang Ma; Liang Shi; Luqing Wei; Guoqiang Li; Lan Yang; Zhihong Shi; Yuqing Chen; Qixia Xu; Wei Li; Xi Zhu; Zongyu Wang; Yongchang Sun; Jie Zhuo; Yang Liu; Xuesong Li; Chen Wang
Journal:  Crit Care Med       Date:  2012-02       Impact factor: 7.598

Review 7.  Noninvasive ventilation for acute respiratory failure.

Authors:  Dean R Hess
Journal:  Respir Care       Date:  2013-06       Impact factor: 2.258

8.  Ultrasound assessment of deep tissue injury in pressure ulcers: possible prediction of pressure ulcer progression.

Authors:  Noriyuki Aoi; Kotaro Yoshimura; Takafumi Kadono; Gojiro Nakagami; Shinji Iizuka; Takuya Higashino; Jun Araki; Isao Koshima; Hiromi Sanada
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9.  The relationship of subepidermal moisture and early stage pressure injury by visual skin assessment.

Authors:  Chul-Gyu Kim; Seungmi Park; Ji Woon Ko; Sungho Jo
Journal:  J Tissue Viability       Date:  2018-05-08       Impact factor: 2.932

Review 10.  Subepidermal moisture (SEM) and bioimpedance: a literature review of a novel method for early detection of pressure-induced tissue damage (pressure ulcers).

Authors:  Zena Moore; Declan Patton; Shannon L Rhodes; Tom O'Connor
Journal:  Int Wound J       Date:  2016-04-29       Impact factor: 3.315

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  4 in total

1.  Phantom testing of the sensitivity and precision of a sub-epidermal moisture scanner.

Authors:  Lea Peko Cohen; Amit Gefen
Journal:  Int Wound J       Date:  2019-04-16       Impact factor: 3.315

2.  Sensitivity and laboratory performances of a second-generation sub-epidermal moisture measurement device.

Authors:  Lea Peko; Amit Gefen
Journal:  Int Wound J       Date:  2020-03-11       Impact factor: 3.315

3.  A machine learning algorithm for early detection of heel deep tissue injuries based on a daily history of sub-epidermal moisture measurements.

Authors:  Maayan Lustig; Dafna Schwartz; Ruth Bryant; Amit Gefen
Journal:  Int Wound J       Date:  2022-01-12       Impact factor: 3.099

4.  Our contemporary understanding of the aetiology of pressure ulcers/pressure injuries.

Authors:  Amit Gefen; David M Brienza; Janet Cuddigan; Emily Haesler; Jan Kottner
Journal:  Int Wound J       Date:  2021-08-11       Impact factor: 3.315

  4 in total

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