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Pressure Injury Link to Entropy of Abdominal Temperature
Nikhil Padhye1, Denise Rios1, Vaunette Fay1
1Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Entropy (Basel, Switzerland)
|August 26, 2022
Summary
Skin thermoregulation complexity, measured by abdominal temperature entropy, can predict pressure injuries in nursing facility residents. Lower temperature complexity indicates higher risk, enabling early intervention.
Area of Science:
- Biomedical Engineering
- Gerontology
- Dermatology
Background:
- Pressure injuries are a significant concern in nursing facilities, impacting resident well-being and healthcare costs.
- Skin thermoregulation is crucial for maintaining skin integrity, but its complexity is not fully understood.
- Existing risk assessment tools for pressure injuries have limitations.
Purpose of the Study:
- To investigate the association between the complexity of abdominal temperature, as a proxy for skin thermoregulation, and the incidence of pressure injuries.
- To evaluate the predictive capability of multiscale entropy measures of abdominal temperature for pressure injury development.
- To compare the predictive accuracy of entropy measures alone versus combined with traditional risk assessment scores.
Main Methods:
- Abdominal temperature time series data were collected from nursing facility residents over two days at 1-minute intervals.
- Refined multiscale sample entropy and bubble entropy were employed to quantify the irregularity and complexity of temperature fluctuations.
- Adaptive lasso regression and neural networks were utilized to build predictive models for pressure injuries.
Main Results:
- Residents with pressure injuries exhibited lower abdominal temperature complexity (lower entropy values) compared to uninjured residents, particularly at longer temporal scales.
- Multiscale entropy measures demonstrated high accuracy (96%) in predicting pressure injuries.
- Combining multiscale entropy measures with established risk assessment scores resulted in the highest prediction accuracy.
Conclusions:
- The complexity of abdominal temperature, as quantified by multiscale entropy, serves as a sensitive indicator of impaired skin thermoregulation and a predictor of pressure injury risk.
- Integrating advanced complexity analysis of physiological signals into risk assessment protocols can enhance the early detection and prevention of pressure injuries.
- This non-invasive approach offers a promising tool for improving pressure injury prevention strategies in long-term care settings.
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