An Overview of Quantitative Capillary Refill Time: Measurement and Application in Clinical Practice

Nuraly S. Akimbekov1,2,4,Email

Ilya Digel3

Judith Beeser3

Atakan Tepecik3

Svetlana K. Sakhanova1

Nazym P. Altynbay2

Dinara K. Sherelkhan2

Bekzat K. Kamenov2

Damir A. Nussipov2

Birzhan Arystanbekuly2

Kuanysh T. Tastambek2,4,5,Email

1Scientific-Practical Center, West Kazakhstan Marat Ospanov Medical University, Maresyev str. 68, Aktobe, 030019, Kazakhstan
2Sustainability of Ecology and Bioresources, Al-Farabi Kazakh National University, Al-Farabi ave. 71, Almaty, 050040, Kazakhstan
3Institute for Bioengineering, Aachen University of Applied Sciences, Heinrich-Mussmann-Straße 1, Jülich, 52428, Germany
4Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, 161200, Kazakhstan 
5M. Auezov South Kazakhstan University, Shymkent, 160012, Kazakhstan

Abstract

Capillary refill time (CRT) is a vital clinical parameter used for the evaluation of peripheral perfusion status in emergency departments and critical care settings. Commonly used manual measurements lack a true criterion standard and are based on visual inspection of fingertip color, leading to low inter-observer reliability. Recent advances in spectroscopic and imaging technologies have made CRT measurement quantitatively significant (Q-CRT), thus enhancing its reliability and accuracy. Light intensity transmitted through the fingertip correlates with blood volume and can be measured using a pulse oximetry sensor. The time required for the transmitted light intensity to return to 90% of the original value after pressure application is defined as Q-CRT. In addition, certain technologies can evaluate Q-CRT via analysis of reflected light in various areas of the peripheral surface. Like manual CRT, Q-CRT is influenced by several factors, including temperature, anatomical measurement sites, gender, and age. However, for Q-CRT, the influence of other confounding factors (light conditions, intensity of applied pressure, “naked eye” assessment) on the measurement outcome is reduced or eliminated. Q-CRT correlates with standardized manual CRT, but it systematically shows higher values. The initial investigations have indicated that Q-CRT could be used to predict sepsis and to assess postoperative outcomes following liver transplantation.