AIMC Topic: Critical Illness

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Development and validation of a modified SOFA score for mortality prediction in candidemia patients.

Scientific reports Jul 1, 2025
Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particularly in critically ill patients. Accurate risk stratification is crucial for timely intervention and could improve patient outcomes. This study aimed...
Machine Learning Prognosis Critical Illness Intensive Care Units Humans Risk Assessment Female Organ Dysfunction Scores Aged Kaplan-Meier Estimate Male Candidemia Middle Aged
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Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

Nutrients May 31, 2025
BACKGROUND: Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to hea...
Humans Critical Care Obesity Paradox Intensive Care Units Risk Assessment Obesity Decision Trees Machine Learning Algorithms Critical Illness
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The extent of Skeletal muscle wasting in prolonged critical illness and its association with survival: insights from a retrospective single-center study.

BMC anesthesiology May 26, 2025
OBJECTIVE: Muscle wasting in critically ill patients, particularly those with prolonged hospitalization, poses a significant challenge to recovery and long-term outcomes. The aim of this study was to characterize long-term muscle wasting trajectories...
Intensive Care Units Female Aged Adult Retrospective Studies Tomography, X-Ray Computed Critical Illness Muscle, Skeletal Psoas Muscles Muscular Atrophy Male Middle Aged Length of Stay Respiratory Distress Syndrome Humans COVID-19
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Association between fibrinogen levels and prognosis in critically bleeding patients: exploration of the optimal therapeutic threshold.

European journal of trauma and emergency surgery : official publication of the European Trauma Society May 23, 2025
BACKGROUND: Severe bleeding is a leading cause of ICU admission and mortality. Fibrinogen plays a crucial role in prognosis, yet optimal thresholds and supplementation targets remain unclear.
Male Middle Aged Hospital Mortality Fibrinogen Hemorrhage Propensity Score Critical Illness Intensive Care Units Female Aged Humans Prognosis
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Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

BMC infectious diseases May 21, 2025
OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with severe or critical COVID-19 by analyzing clinical characteristics and laboratory indicators.
Coinfection Humans Female Respiration, Artificial Machine Learning SARS-CoV-2 Severity of Illness Index COVID-19 Risk Factors Procalcitonin Retrospective Studies Aged Interleukin-8 Critical Illness Adult Male Middle Aged Risk Assessment
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Construction and validation of a pain facial expressions dataset for critically ill children.

Scientific reports May 17, 2025
Automatic pain assessment for non-communicative children is in high demand. However, the availability of related training datasets remains limited. This study focuses on creating a large-scale dataset of pain facial expressions specifically for Chine...
Adolescent Child, Preschool Child Intensive Care Units, Pediatric Pain Measurement Pain Female Humans Facial Expression Male Critical Illness Infant Deep Learning
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Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Science progress Apr 24, 2025
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney replacement therapy (KRT) becomes necessary. The optimal timing for initiating KRT remains a subject ...
Critical Illness Intensive Care Units Humans Time Factors Artificial Intelligence Renal Replacement Therapy Acute Kidney Injury
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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.

Scientific reports Apr 2, 2025
Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-threatening in critically ill children, and the quest for an accurate and efficient method for early DIC prediction is of paramount importance. Candidate ...
Disseminated Intravascular Coagulation Humans Child, Preschool Infant, Newborn Machine Learning Child Male Critical Illness Logistic Models Infant Female Support Vector Machine Adolescent
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The future of artificial intelligence in cardiovascular monitoring.

Current opinion in critical care Mar 24, 2025
PURPOSE OF REVIEW: Cardiovascular monitoring is essential for managing hemodynamic instability and preventing complications in critically ill patients. Conventional monitoring approaches are limited by predefined thresholds, dependence on clinician e...
Humans Artificial Intelligence Monitoring, Physiologic Critical Illness Critical Care Intensive Care Units Hemodynamic Monitoring Hemodynamics Wearable Electronic Devices
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Predicting intra-abdominal hypertension using anthropometric measurements and machine learning.

Scientific reports Mar 19, 2025
Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently, the gold standard for measuring intra-abdominal pressure (IAP) is via the bladder. Measurement of IAP is important to identify IAH early and thus im...
Male Middle Aged Humans Anthropometry Critical Illness Machine Learning Intra-Abdominal Hypertension Retrospective Studies Female Aged Adult
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