Seo Seung Gi, Kim Seungyeob, Yoo Seonggwang, Oh Seyong, Luan Haiwen, Lv Zengyao, Kim Bosung, Li Shupeng, Lu Di, Kim Jong Uk, Park Yaeshin, Lee Jae Hee, Jo Hyeon Bin, Westman Amanda M, Moritz William, Ribaudo Joseph, Huang Yonggang, Pet Mitchell A, Jin Sung Hun, Rogers John A
Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, 60208, USA.
Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA.
Adv Sci (Weinh). 2025 Sep;12(33):e06942. doi: 10.1002/advs.202506942. Epub 2025 Jul 17.
Acute Compartment Syndrome (ACS) is a serious medical condition that arises from increased pressure within osteofascial compartments, leading to impaired blood flow and potential tissue damage. Early and accurate diagnosis is critical for preventing permanent damage. Current methods rely largely on qualitative assessments with limited accuracy, and those that exploit invasive pressure measurements often prove inadequate. Herein, a soft materials-based multimodal sensor probe is introduced, as well as the mechanical and thermal influences to monitor intra-compartmental pressure, tissue oxygen saturation (StO), and blood flow simultaneously at a common location within an affected compartment. The system integrates three sensors into a thin, flexible probe capable of real-time, wireless data transmission. The device allows for continuous monitoring with high reproducibility and sensitivity, to enhance diagnostic accuracy relative to current clinical practice, with the potential to early diagnosis of an acute compartment syndrome that requires fasciotomies. Large animal model studies, including short- and intermediate-term reliability assessments, highlight the key engineering features. The results reveal expected inverse relationships between pressure, StO, and flow rate under simulated compartment syndrome conditions. This multimodal approach enhances diagnostic precision, offers real-time insights, and promises to yield improved outcomes through a comprehensive, quantitative diagnosis of compartment syndrome.
急性骨筋膜室综合征（ACS）是一种严重的医学状况，由骨筋膜室内压力升高引起，导致血流受损和潜在的组织损伤。早期准确诊断对于预防永久性损伤至关重要。目前的方法主要依赖于准确性有限的定性评估，而那些采用有创压力测量的方法往往证明是不够的。在此，介绍一种基于软材料的多模态传感器探头，以及用于监测骨筋膜室内压力、组织氧饱和度（StO）和血流的机械和热影响，能够在受影响骨筋膜室内的同一位置同时进行监测。该系统将三个传感器集成到一个能够实时无线数据传输的薄型柔性探头中。该设备允许进行具有高重现性和灵敏度的连续监测，相对于当前临床实践提高诊断准确性，具有早期诊断需要进行筋膜切开术的急性骨筋膜室综合征的潜力。包括短期和中期可靠性评估在内的大型动物模型研究突出了关键的工程特征。结果揭示了在模拟骨筋膜室综合征条件下压力、StO和流速之间预期的反比关系。这种多模态方法提高了诊断精度，提供实时见解，并有望通过对骨筋膜室综合征进行全面、定量的诊断产生更好的结果。
