AIMC Topic: Critical Illness

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ASSOCIATIONS BETWEEN HEART RATE VARIABILITY AND NEED FOR LIFESAVING INTERVENTION IN A LARGE HELICOPTER EMS SERVICE.

Shock (Augusta, Ga.) Jul 1, 2025
Background : Heart rate variability (HRV) measures give insight into the autonomic regulation of cardiac function in healthy and critically ill patients. The ease and predictive potential of HRV measures may be valuable in optimizing prehospital tria...
Heart Rate Electrocardiography Emergency Medical Services Triage Air Ambulances Humans Retrospective Studies Critical Illness Female Aged Adult Male Middle Aged
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CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Shock (Augusta, Ga.) Jul 1, 2025
Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged course of illness, resulting in elevated morbidity and mortality. CCI presents significant challenges for healthcare providers in intensive care units (ICU...
Humans Artificial Intelligence Machine Learning Health Personnel Adult Male Middle Aged Chronic Disease Bone and Bones Critical Illness Intensive Care Units Female Aged
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Artificial intelligence assisted nutritional risk evaluation model for critically ill patients: Integration of explainable machine learning in intensive care nutrition.

Asia Pacific journal of clinical nutrition Jun 1, 2025
BACKGROUND AND OBJECTIVES: Critically ill patients require individualized nutrition support, with assessment tools like Nutrition Risk Screening 2002 and Nutrition Risk in the Critically Ill scores. Challenges in continu-ous nutrition care prompt the...
Nutritional Support Female Aged Adult Artificial Intelligence Male Machine Learning Retrospective Studies Middle Aged Critical Illness Nutrition Assessment Intensive Care Units Risk Assessment Humans Critical Care Nutritional Status
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Early efficacy observation of suspended lower-limb rehabilitation robot-assisted therapy in patients with intensive care unit-acquired weakness: a study protocol for a self-controlled randomised controlled trial.

BMJ open May 30, 2025
INTRODUCTION: Intensive care unit-acquired weakness (ICUAW) is a common and severe complication in critically ill patients, associated with high morbidity and poor prognosis. Despite increasing focus on ICUAW, definitive diagnostic and therapeutic st...
Range of Motion, Articular Early Ambulation Muscle Weakness Critical Illness Intensive Care Units Male Humans Female Middle Aged Adult Lower Extremity Randomized Controlled Trials as Topic Robotics
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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation.

JMIR medical informatics May 28, 2025
BACKGROUND: Acute kidney injury (AKI) frequently occurs in critically ill patients with coronary heart disease (CHD), and its development markedly elevates mortality rates and prolongs hospitalization duration. Early AKI prediction is crucial for tim...
Humans Machine Learning Algorithms Aged Acute Kidney Injury Male Critical Illness Middle Aged Intensive Care Units Coronary Disease Female
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Relationship between medication regimen complexity and pharmacist engagement in fluid stewardship.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists May 23, 2025
PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been associated with pharmacist workload and fluid overload. The purpose of this study was to determine the relationship of MRC-ICU score with pharmacist-dr...
Retrospective Studies Critical Illness Intensive Care Units Female Aged Humans Professional Role Cohort Studies Fluid Therapy Organ Dysfunction Scores Pharmacists Pharmacy Service, Hospital Adult Male Middle Aged Length of Stay
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Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study.

JMIR medical informatics May 21, 2025
BACKGROUND: Long-term ventilator-dependent patients often face problems such as decreased quality of life, increased mortality, and increased medical costs. Respiratory therapists must perform complex and time-consuming ventilator weaning assessments...
Male Middle Aged Respiration, Artificial Deep Learning Respiration Ventilator Weaning Humans Retrospective Studies Critical Illness Female Aged
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Reinforcement Machine Learning Humans Shock, Septic Critical Illness Observational Studies as Topic Aged Electronic Health Records Norepinephrine Male Clinical Decision-Making Vasoconstrictor Agents Middle Aged Female Datasets as Topic Hospital Mortality
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Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Nutrients May 13, 2025
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increased mortality, or prolonged hospitalizations with complications and higher costs during the recovery p...
Intensive Care Units Energy Intake Malnutrition Critical Care Nutritional Status Humans Precision Medicine Critical Illness Enteral Nutrition Nutritional Support Parenteral Nutrition
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Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning.

Cardiovascular diabetology May 9, 2025
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognosti...
Aged Cause of Death Male Prognosis Humans Atherosclerosis Middle Aged Retrospective Studies Machine Learning Stress, Physiological Blood Glucose Risk Assessment Critical Illness Databases, Factual Prediabetic State Female Biomarkers Risk Factors Time Factors Hyperglycemia Diabetes Mellitus Predictive Value of Tests
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