Intracompartmental pressure in lower leg muscles and tibial nerve in healthy volunteers correlate to the stiffness measured using shear wave elastography

[Ischemia-related compartment syndromes in vascular surgery]

Even after the endovascular revolution, acute compartment syndrome (CS) remains an important and frequently present differential diagnosis after many operations. Based on a qualitative review this article gives an overview of the most frequent forms of CS as well as some less frequent entities that require attention in the routine clinical practice. Additionally, the pathophysiology, diagnostics and treatment as well as current research topics for CS, especially concerning the lower leg, are dealt with in detail. In summary, nothing has essentially changed ever since the first description of CS in that the clinical estimation remains the gold standard. The detection and the adequate treatment especially of abdominal CS and CS of the lower leg remain a key competence of vascular surgeons.

Noninvasive Technique to Monitor the Pressure under a Cast: A Mobile Application-Friendly Bluetooth Pressure Sensor

AIM

The purpose of this study was to design a sensor that could monitor the skin-cast contact surface pressure (SCCSP) of a limb under a cast and inform the user via a mobile application when the pressure increases.

METHODS

In this experimental study, an infant sphygmomanometer cuff was initially placed on the forearm of 10 volunteers. A pressure sensor with a Bluetooth chip was then placed on the volar aspect of the forearm. Short arm plaster was applied with synthetic cast material. The SCCSP under the plaster was measured by the sensor and the measured values were transmitted to a mobile application via a Bluetooth chip. The mobile application processed the data from the chip and converted it to mmHg.

RESULTS

Intracompartmental pressure (ICP) values were categorized as 0, 10, 20, 30, 40, 50, 60, and 75 mmHg. The highest SCCSP was 75 mmHg CP, while the lowest was 0 mmHg CP. The correlation coefficient of the mean pressure values was 0.993 (p ≤ 0.001) (SD 0.002, range 0.989-0.997), and there was a significant relationship between ICP and SCCSP values (p ≤ 0.05).

CONCLUSION

We can monitor SCCSP, detect limb swelling, and notify the user via a mobile application by using Bluetooth pressure sensors.