The relationship between the severity of coronary artery disease and skin measurement parameters


Solak E., Gokcek G. E., KARTAL D., KALAY N., ÇİNAR S. L., Savas G., ...Daha Fazla

SKIN RESEARCH AND TECHNOLOGY, cilt.27, sa.1, ss.101-107, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1111/srt.12917
  • Dergi Adı: SKIN RESEARCH AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Biotechnology Research Abstracts, Compendex, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.101-107
  • Erciyes Üniversitesi Adresli: Evet

Özet

Purpose This study aimed to investigate the relationship between skin parameters and CAD. Materials and Methods The study included 50 patients diagnosed with coronary artery disease as the patient group and 45 volunteers without any known coronary artery disease as the control group. The participants' skin TEWL, pH, temperature, electrical capacitance, sebum, and elasticity values were measured using noninvasive methods at the forehead, back, and forearm. Findings Skin temperature was significantly higher in the back and forehead regions in the patient group. No difference was found between the sebum values of the patient and control groups at the back and forehead. A significantly higher result was obtained for the forearm area. The pH was significantly lower in the patients' forearm, although the obtained values were within the normal range. The TEWL was significantly higher in patients in all three regions. In terms of flexibility, R2 was significantly higher in the back and forehead regions of the patient group, and the R6 was significantly higher in the patient group in all three regions. In addition, there was no correlation between skin parameter and SYNTAX score increase measurements. Conclusion It can be suggested that skin sebum and TEWL measurements can be accepted as cheap and noninvasive methods of predicting CAD.