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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. Anastomotic leakage (AL) is the leaking of pathogenic, non‐sterile gastrointestinal contents into the abdominal cavity of a patient, with mortality rates of up to 27%. In this work, a naked eye‐readable, electronic‐free sensor for the continuous monitoring of drain fluid enzymes and early detection of AL is introduced.

Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only offering late-stage detection of fully developed leaks. Here, we present a holistic solution in the form of a modular, intelligent suture support sealant patch capable of containing and detecting leaks early. The pH and/or enzyme-responsive triggerable sensing elements can be read out by point-of-need ultrasound imaging. We demonstrate reliable detection of the breaching of sutures, in as little as 3 hours in intestinal leak scenarios and 15 minutes in gastric leak conditions. This technology paves the way for next-generation suture support materials that seal and offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables. Digestive surgical leaks manifesting days after a successful surgery can lead to severe complications and affect healthcare worldwide. Here, the authors address the problem holistically with a hydrogel patch capable of sealing tissues, while detecting imminent leaks via a smartphone-operated ultrasound probe.

An adhesive hydrogel patch made from off-the-shelf materials seals and aids the healing of gastrointestinal-tissue defects without the need for sutures, as shown with the repair of gastrointestinal leaks in live rats and pigs.

Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symptomatic, surgical leak. A gastric fluid responsive, dual modality, electronic‐free, leak sensor system integrable into surgical adhesive suture support materials is introduced. Leak sensors contain high atomic number carbonates embedded in a polyacrylamide matrix, that upon exposure to gastric fluid convert into gaseous carbon dioxide (CO2). CO2 bubbles remain entrapped in the hydrogel matrix, leading to a distinctly increased echogenic contrast detectable by a low‐cost and portable ultrasound transducer, while the dissolution of the carbonate species and the resulting diffusion of the cation produces a markedly reduced contrast in computed tomography imaging. The sensing elements can be patterned into a variety of characteristic shapes and can be combined with nonreactive tantalum oxide reference elements, allowing the design of shape‐morphing sensing elements visible to the naked eye as well as artificial intelligence‐assisted automated detection. In summary, shape‐morphing dual modality sensors for the early and robust detection of postoperative complications at deep tissue sites, opening new routes for postoperative patient surveillance using existing hospital infrastructure is reported. Gastric leaks are a greatly feared postsurgical complication. Here dual modality ultrasound and computed tomography sensors for early gastric leak detection is presented. The electronic‐free sensors are fully integrable into adhesive surgical sealant patches as well as patternable, achieving shape morphing contrast changes under conditions of leak, therefore allowing for facile leak diagnostics.

Preeclampsia is one of the most dangerous diseases in pregnancy. Because of the hypertensive nature of preeclampsia, placental calcifications are believed to be a predictor for its occurrence, analogous to their role in cardiovascular diseases. However, the prevalence and the relevance of calcifications for the clinical outcome with respect to preeclampsia remains controversial. In addition, the role of other inorganic components present in the placental tissue in the development of preeclampsia has rarely been investigated. In this work, we therefore characterized inorganic constituents in placental tissue in groups of both normotensive and preeclamptic patients ( N = 20 each) using a multi-scale and multi-modal approach. Examinations included elemental analysis (metallomics), sonography, computed tomography (CT), histology, scanning electron microscopy, X-ray fluorescence and energy dispersive X-ray spectroscopy. Our data show that tissue contents of several heavy metals (Al, Cd, Ni, Co, Mn, Pb, and As) were elevated whereas the Rb content was decreased in preeclamptic compared to normotensive placentae. However, the median mineral content (Ca, P, Mg, Na, K) was remarkably comparable between the two groups and CT showed lower calcified volumes and fewer crystalline deposits in preeclamptic placentae. Electron microscopy investigations revealed four distinct types of calcifications, all predominantly composed of calcium, phosphorus and oxygen with variable contents of magnesium in tissues of both maternal and fetal origin in both preeclamptic and normotensive placentae. In conclusion our study suggests that heavy metals, combined with other factors, can be associated with the development of preeclampsia, however, with no obvious correlation between calcifications and preeclampsia.

Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of the cases. Penetration of digestive fluids into the peritoneal cavity may lead to dreadful complications, including sepsis and premature death. Modern suture supports and tissue adhesives only insufficiently address the issue. Due to the scarcity of alternatives, surgeons rely on monitoring surrogate markers and clinical symptoms, which oftentimes lack sensitivity and specificity, hence only offering late-stage detection of already fully developed leaks. Here, a first-of-its-kind, modular, intelligent suture support patch capable of sealing and monitoring leaks under harsh gastrointestinal conditions is presented. The smart adhesive layered hydrogel patch provides, in addition to unprecedented tissue sealing under most demanding conditions, unique leak-detection capabilities based on pH and/or enzyme-responsive sensing elements, which can be read out by non-invasive point-of-need ultrasound imaging. Reliable detection of the breaching of sutures in as little as 3 hours in intestinal leak and 15 minutes in gastric leak conditions, and before an actual leak develops, is demonstrated. This technology paves the way for next-generation suture support materials that offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables. Competing Interest Statement A.H.C.A. and I.K.H. declare that a patent applications have been filed on parts of the tech-nology reported in this publication (PCT/EP2022/051137 and PCT/EP2022/051141). All other authors report no conflict of interest.