Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Particles-Biology Interactions Laboratory, Department of Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, St. Gallen, 9014, Switzerland.
Adv Sci (Weinh). 2024 Aug;11(29):e2400673. doi: 10.1002/advs.202400673. Epub 2024 May 22.
Anastomotic leakage (AL) is the leaking of non-sterile gastrointestinal contents into a patient's abdominal cavity. AL is one of the most dreaded complications following gastrointestinal surgery, with mortality rates reaching up to 27%. The current diagnostic methods for anastomotic leaks are limited in sensitivity and specificity. Since the timing of detection directly impacts patient outcomes, developing new, fast, and simple methods for early leak detection is crucial. Here, a naked eye-readable, electronic-free macromolecular network drain fluid sensor is introduced for continuous monitoring and early detection of AL at the patient's bedside. The sensor array comprises three different macromolecular network sensing elements, each tailored for selectivity toward the three major digestive enzymes found in the drainage fluid during a developing AL. Upon digestion of the macromolecular network structure by the respective digestive enzymes, the sensor produces an optical shift discernible to the naked eye. The diagnostic efficacy and clinical applicability of these sensors are demonstrated using clinical samples from 32 patients, yielding a Receiver Operating Characteristic Area Under the Curve (ROC AUC) of 1.0. This work has the potential to significantly contribute to improved patient outcomes through continuous monitoring and early, low-cost, and reliable AL detection.
吻合口漏（AL）是指非无菌胃肠道内容物泄漏到患者的腹腔中。AL 是胃肠道手术后最可怕的并发症之一，死亡率高达 27%。目前用于诊断吻合口漏的方法在灵敏度和特异性方面存在局限性。由于检测的时间直接影响患者的预后，因此开发新的、快速和简单的早期漏诊方法至关重要。在这里，我们介绍了一种肉眼可读、无电子的高分子网络引流液传感器，用于在患者床边进行连续监测和早期检测 AL。传感器阵列由三个不同的高分子网络传感元件组成，每个元件都针对在发展中的 AL 期间引流液中发现的三种主要消化酶具有选择性。当各自的消化酶消化高分子网络结构时，传感器会产生可被肉眼识别的光学位移。使用来自 32 名患者的临床样本证明了这些传感器的诊断效果和临床适用性，其接收者操作特征曲线下面积（ROC AUC）为 1.0。这项工作有可能通过连续监测和早期、低成本、可靠的 AL 检测，显著改善患者的预后。
