In the high-stakes environment of the intensive care unit (ICU), timing is everything, yet traditional monitoring methods like arterial blood gas analysis and venipuncture often provide intermittent data that lags behind a patient's rapidly evolving condition. Wearable sweat sensors are emerging as a transformative solution, shifting the paradigm toward non-invasive, continuous real-time monitoring by utilizing a standardized three-step process. First, microchannels or absorbent pads actively or passively guide sweat secreted from the skin to a sensor's reaction zone. Subsequently, bio-recognition probes such as enzymes, antibodies, or aptamers specifically bind to target molecules, triggering measurable electrical or optical changes. Finally, external devices and sophisticated algorithms detect these physical signal changes and convert them into accurate clinical concentrations for diagnostic use.
Recently, an article made available online on May 17, 2026, in the Journal of Intensive Medicine reviews the basic principles of wearable sweat sensors, biomarkers in sweat, and their application prospects in ICUs.
Sweat serves as a rich reservoir of biochemical data that mirrors systemic health, offering critical insights into hydration and homeostasis through the monitoring of electrolytes such as Na + , Cl - , and K + . Beyond simple electrolytes, metabolites like glucose and lactate provide vital indicators of tissue perfusion and metabolic stress. Although sweat glucose levels are typically lower than those found in the blood, active extraction methods, like reverse iontophoresis, facilitate the continuous tracking necessary for clinical management. Furthermore, these sensors can monitor hormones, such as cortisol and epinephrine, to quantify physiological stress levels, alongside pharmaceutical drugs with narrow therapeutic windows, such as acetaminophen or various anticancer agents, thereby ensuring safer and more effective dosing protocols in the ICU.
The clinical integration of these sensors into the ICU provides specialized advantages for managing high-risk scenarios. For instance, by monitoring time-series profiles of inflammatory markers like interleukin-6 and C-reactive protein, clinicians can detect immune dysregulation and generate early sepsis warnings before macroscopic vital signs fail. In terms of renal management, the continuous tracking of urea and creatinine assists in managing acute kidney injury by informing the optimal timing for dialysis initiation. Additionally, dynamic glucose profiles enable precision glycemic control, helping medical teams avoid the volatile "yo-yo" effect associated with stress-induced hyperglycemia and iatrogenic hypoglycemia that often plagues critically ill patients.
Despite this immense potential, several hurdles must be overcome to move from bench to bedside, as the ICU presents unique physiological and technical challenges. Pathophysiological noise, such as Capillary Leak Syndrome or shock-induced hypoperfusion, can decouple sweat concentrations from systemic blood levels and lead to misleading data trends. Technically, lipid layers in sweat may form hydrophobic films on electrodes, a process known as biofouling, which causes sensor sensitivity to decay over time. Moreover, iatrogenic interference from common ICU treatments, including chlorhexidine baths or zinc oxide ointments, can introduce significant chemical background noise that obscures trace signals. To address these issues, researchers are developing innovative solid epidermal biomarker sensors that function on dry skin and Janus fabric interfaces designed to clear stagnant sweat and prevent false readings.
The ultimate vision for this technology is the creation of an "artificial autonomous system" that revolutionizes critical care pathways. By integrating sensor data into electronic health records via the HL7 Fast Healthcare Interoperability Resources standards, artificial intelligence models can extract "biochemical fingerprints" for ultra-early diagnosis of conditions like sepsis or organ failure. These sensors may eventually couple directly with infusion pumps to create closed-loop therapeutic cycles that automatically adjust insulin delivery or fluid resuscitation based on real-time physiological needs. This transition from passive observation to proactive, algorithm-driven care promises to usher in a new era of personalized precision medicine in the intensive care environment.
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Reference
Title of original paper: The future of wearable sweat sensors in intensive care units: Toward a new era of noninvasive, continuous, real-time monitoring
Journal: Journal of Intensive Medicine
DOI: https://doi.org/10.1016/j.jointm.2026.03.004
Author(s) name: Jinyuan Mei, Qizhang Yang, Mi Tian, Shuixiang Deng, Ye Gong
Author(s) Affiliation: Department of Critical Care Medicine, Huashan Hospital Affiliated to Fudan University, China
About Fudan University
Website: https://www.fudan.edu.cn/
About Professor Ye Gong from Fudan University, China
Professor Dr. Gong Y, who holds a Doctor of Surgery degree from Fudan University, is currently affiliated with Huashan Hospital, a leading neurosurgical center in China. With over 20 years of dedicated experience in neurocritical care, he has established a distinguished career in managing complex neurological emergencies and has authored over 60 peer-reviewed articles in prestigious journals, including Science Advances , and has made significant contributions to the understanding and treatment of intracerebral hemorrhage, sepsis, meningioma, and other critical neurological conditions. In addition to research, he is actively involved in clinical education and has led several multicenter trials aimed at improving outcomes in neurointensive care settings.
About Mei J.Y. from Fudan University, China
Mei J.Y. is currently a first-year Master’s student in Critical Care Medicine at Huashan Hospital, Fudan University. Affiliated with one of China’s premier clinical institutions, he has established a strong academic foundation early in his career, authoring two peer-reviewed SCI articles and two Chinese journal publications. Specializing in neurosurgery and intensive care research, he possesses technical expertise in R programming for statistical modeling and SQL for extracting data from large-scale clinical databases like MIMIC-IV. Beyond his research pursuits, he is actively engaged in clinical rotations and studies focused on patient trajectories to improve outcomes in neurocritical care settings.
Funding information
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Journal of Intensive Medicine
Literature review
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The future of wearable sweat sensors in intensive care units: Toward a new era of noninvasive, continuous, real-time monitoring
17-May-2026
Given his role as Journal of Intensive Medicine, Ye Gong had no involvement in the peer-review of this article and has no access to information regarding its peer-review. Full responsibility for the editorial process for this article was delegated to another journal editor. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.