Contribution of skin temperature regularity to the risk of developing pressure ulcers in nursing facility residents

Adv Skin Wound Care. 2009 Nov;22(11):506-13. doi: 10.1097/01.ASW.0000305496.15768.82.

Abstract

Objectives: The purpose of the study was to determine whether characterizing skin temperature regulation as a functional property of the skin as it relates to tissue tolerance improves the clinician's understanding of pressure ulcer risk prediction.

Design: A 2-group time-series design was used to observe skin temperature regularity (entropy) and self-similarity (spectral exponent).

Methods: Twenty nursing facility residents wore skin temperature monitors continuously for 5 days. One bathing episode was observed because bathing is a commonly occurring care procedure.

Primary outcome measure: Difference in skin temperature multiscale entropy and spectral exponent by risk category and pressure ulcer outcome.

Results: Multiscale entropy (MSE) for skin temperature was lowest in those who developed pressure ulcers, F1,18 = 35.14, P < .001. Skin temperature mean MSE, F1,17 = 5.55, P = .031 and the skin temperature spectral exponent, F1,17 = 6.19, P = .023 differentiated the risk groups. The change in skin temperature entropy during bathing was significant, t(16) = 2.55, P = .021.

Conclusions: Skin temperature MSE and the spectral exponent were significantly different between low-risk and higher risk residents and residents who did and did not develop pressure ulcers. The study supports measurement of skin temperature regulation as a component of tissue tolerance to pressure.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Baths*
  • Body Temperature Regulation*
  • Entropy
  • Female
  • Health Status Indicators
  • Humans
  • Logistic Models
  • Male
  • Nursing Homes
  • Pressure Ulcer / epidemiology
  • Pressure Ulcer / etiology*
  • Pressure Ulcer / nursing
  • Regional Blood Flow
  • Reproducibility of Results
  • Risk Factors
  • Sensitivity and Specificity
  • Skin Temperature*
  • Statistics as Topic
  • Texas / epidemiology