Machine learning methods to evaluate fluctuation in oxygenation and peripheral tissue temperature, in sacral and trochanteric area under pressure in healthy subjects and institutionalized patients. A prospective non-randomized trial.
To evaluate the longitudinal changes observed over a period of 120 min in patterns of tissue perfusion, peripheral oxygenation and local temperature of sacral and trochanteric areas exposed to pressure, comparing a healthy population with one at risk of impaired skin integrity. The study protocol is...
| Publicado en: | Journal of Tissue Viability Vol. 35; no. 2 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193249343&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193249343 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0965206X YZQ jtl: Journal of Tissue Viability issn: 0965206X maglogo: N pubinfo: dt: May2026 vid: 35 iid: 2 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 193249343 193249343 193249343 10.1016/j.jtv.2026.100992 193249343 ppct: 1 formats: tig: atl: Machine learning methods to evaluate fluctuation in oxygenation and peripheral tissue temperature, in sacral and trochanteric area under pressure in healthy subjects and institutionalized patients. A prospective non-randomized trial. aug: au: Lupiáñez-Pérez, Inmaculada Muñoz-Lupiáñez, Marina Gómez-González, Alberto José Morilla-Herrera, Juan Carlos Pimentel, Ernesto Durán, Francisco García-Luque, Rafael Marfil-Gómez, Raquel María Pérez-Ardanaz, Bibiana Morales-Asencio, José Miguel affil: University of Malaga, Faculty of Health Sciences, C/Arquitecto Francisco Peñalosa, 3, Campus Universitario de Teatinos, 29071, Malaga, Spain sug: subj: Machine Learning Oxygen Blood Skin Temperature Sacrum Pressure Tissue Perfusion Physiology Research Subjects Institutionalization Pressure Ulcer Risk Factors Risk Assessment Human Male Female Prospective Studies Colleges and Universities Nursing Homes Spectroscopy, Near-Infrared Supine Position Comparative Studies Oxygenation Random Forest Male Female ab: To evaluate the longitudinal changes observed over a period of 120 min in patterns of tissue perfusion, peripheral oxygenation and local temperature of sacral and trochanteric areas exposed to pressure, comparing a healthy population with one at risk of impaired skin integrity. The study protocol is registered in ClinicalTrials.gov (NCT02736838). Non-randomised experimental study in two phases. Volunteers were recruited at the University and nursing homes from Nov 2017 to June 2020. The parameters were measured in the sacral and trochanteric areas under pressure using a laser Doppler monitor and near-infrared spectroscopy over 2 h. Body positions varied by area: supine for the sacral region and lateral supine for the trochanteric region. Comparative analysis between both groups of the sacral area showed significant fluctuations in perfusion (p =.035) and local temperature (p =.013). In the trochanteric area, the comparative analysis showed significant fluctuations in perfusion (p =.044), local temperature (p >.001), and oxygenation (p =.049). Nonlinear patterns were identified in the variables examined in both anatomical areas. This prompted the adoption of an algorithm based on the Random Forest Regressor technique to predict the parameters associated with the development of pressure injuries. Individuals at risk of developing pressure injuries show a more limited compensatory physiological response compared to healthy individuals in terms of blood flow, oxygenation, and tissue temperature in pressure areas. Notably, at the 90-min, a turning point is observed, marking a critical threshold from which these parameters begin to decline. • Institutionalized patients show limited microvascular compensatory response. • A 90-min threshold marks decline in perfusion, oxygenation, and temperature. • Simultaneous monitoring reveals non-linear tissue response under pressure. • Random Forest model accurately predicts risk parameters for pressure injuries. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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