AIMC Topic: Vasoconstrictor Agents
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Analysis of the heterogeneous treatment effect of vasoactive drug dosage and time on hospital mortality across different sepsis phenotypes: a retrospective cohort study.
European journal of medical research
May 24, 2025
BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoactive drugs.
Perioperative Fluid and Vasopressor Therapy in 2050: From Experimental Medicine to Personalization Through Automation.
Anesthesia and analgesia
Jan 12, 2024
Intravenous (IV) fluids and vasopressor agents are key components of hemodynamic management. Since their introduction, their use in the perioperative setting has continued to evolve, and we are now on the brink of automated administration. IV fluid t...
Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.
Chest
Nov 1, 2023
BACKGROUND: Machine learning (ML)-derived notifications for impending episodes of hemodynamic instability and respiratory failure events are interesting because they can alert physicians in time to intervene before these complications occur.
Ketofol as an Anesthetic Agent in Patients With Isolated Moderate to Severe Traumatic Brain Injury: A Prospective, Randomized Double-blind Controlled Trial.
Journal of neurosurgical anesthesiology
May 13, 2021
BACKGROUND: The effects of ketofol (propofol and ketamine admixture) on systemic hemodynamics and outcomes in patients undergoing emergency decompressive craniectomy for traumatic brain injury (TBI) are unknown and explored in this study.
Intranasal vasopressin modulates resting state brain activity across multiple neural systems: Evidence from a brain imaging machine learning study.
Neuropharmacology
Apr 11, 2021
Arginine vasopressin (AVP), a neuropeptide with widespread receptors in brain regions important for socioemotional processing, is critical in regulating various mammalian social behavior and emotion. Although a growing body of task-based brain imagin...
Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.
Annals of clinical and translational neurology
Sep 29, 2020
OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, particularly in those with presumed delayed cerebral ischemia (DCI). The ability to accurately predict survival for SAH patients during the hospital course ...
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we t...
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.
Nature medicine
Oct 22, 2018
Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, but the best treatment strategy remains uncertain. In particular, evidence suggests that current practices in the administration of intravenous fluids ...
Refractory collapse and severe burn: Think about acute adrenal insufficiency.
The American journal of emergency medicine
Dec 29, 2017
INTRODUCTION: Adrenal insufficiency (AI) is a rare endocrine disorder, which can in its acute form be life-threatening in case of late diagnosis or treatment. The stress during a thermal burn can easily decompensate the AI. We report the case of an a...
Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.
The American journal of the medical sciences
Jul 1, 2017
Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardiorespiratory failure, sepsis, or relative adrenal insufficiency. In these acute conditions, thyroid hormone levels measured in blood, serum or plasma ...
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