Journal article
Monitoring Inputs, Control Architectures, and Failure Modes in Closed-Loop Vasopressor Systems: A Comprehensive Review
Sensors (Basel, Switzerland), Vol.26(7), 2180
04/01/2026
DOI: 10.3390/s26072180
PMCID: PMC13075136
PMID: 41977964
Abstract
Closed-loop vasopressor systems integrate real-time blood pressure monitoring with automated decision logic to support hemodynamic stability in perioperative and critical care environments. These technologies sit at the intersection of biomedical sensing, signal processing, and clinician-supervised automation: the quality, latency, and failure behavior of the monitoring input can directly shape controller performance, safety margins, and clinical usability. In this comprehensive review, we synthesize the major closed-loop vasopressor architectures reported in the literature, examine how sensor modality and signal integrity influence algorithm behavior, and summarize recurrent reliability vulnerabilities spanning sensors, control logic, and device integration. We organize the field through an end-to-end information pipeline—monitoring input, signal conditioning and quality assessment, decision and control strategy, actuation via infusion technology, and supervisory safety layers—highlighting common performance metrics used to benchmark control quality. We then discuss clinical validation patterns across settings, emphasizing practical considerations for deployment and the evidence gaps that remain most relevant to high-risk populations. Finally, we propose reporting and validation priorities for future studies, with a focus on sensor robustness, transparency of algorithm design, integration safeguards, and standardized documentation of failures and overrides.
Details
- Title: Subtitle
- Monitoring Inputs, Control Architectures, and Failure Modes in Closed-Loop Vasopressor Systems: A Comprehensive Review
- Creators
- Vitor Felippe - Instituto Nacional de Câncer - INCAHiorrana Sousa Dias - UnichristusCarlos Darcy Alves Bersot - Universidade PaulistaGustavo Guimaraes Torres - Hospital Universitário Pedro ErnestoBruno Wegner - University of Rio Grande and Rio Grande Community CollegeGabriel Lemos González - Universidade Federal do Estado do Rio de JaneiroGustavo Wegner - Universidade Federal da Fronteira SulMarcos Adriano Lessa - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Sensors (Basel, Switzerland), Vol.26(7), 2180
- DOI
- 10.3390/s26072180
- PMID
- 41977964
- PMCID
- PMC13075136
- NLM abbreviation
- Sensors (Basel)
- ISSN
- 1424-8220
- eISSN
- 1424-8220
- Publisher
- MDPI
- Language
- English
- Date published
- 04/01/2026
- Academic Unit
- Anesthesia
- Record Identifier
- 9985153548602771
Metrics
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