AIMC Topic: Sepsis

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Machine learning for predicting acute myocardial infarction in patients with sepsis.

Scientific reports Dec 24, 2024
Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in intensive care units. While sepsis frequently affects the cardiovascular system, distinguishing between sepsis-induced cardiomyopathy and AMI remains chall...
Myocardial Infarction Male Middle Aged Sepsis Humans Critical Illness Machine Learning Intensive Care Units Algorithms Female Prognosis Aged
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Identification and experimental validation of diagnostic and prognostic genes CX3CR1, PID1 and PTGDS in sepsis and ARDS using bulk and single-cell transcriptomic analysis and machine learning.

Frontiers in immunology Dec 23, 2024
BACKGROUND: Sepsis is an uncontrolled reaction to infection that causes severe organ dysfunction and is a primary cause of ARDS. Patients suffering both sepsis and ARDS have a poor prognosis and high mortality. However, the mechanisms behind their si...
Prognosis Humans Mice, Inbred C57BL Sepsis Machine Learning Respiratory Distress Syndrome Single-Cell Analysis Animals Biomarkers CX3C Chemokine Receptor 1 Gene Regulatory Networks Gene Expression Profiling Mice Transcriptome
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Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis.

BMC infectious diseases Dec 21, 2024
BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven treatment decisions. Machine learning is predicting mortality in S-AKI in a growing number of studies. Therefore, we conducted this systematic review...
Sepsis Humans Machine Learning Acute Kidney Injury
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Longitudinal Model Shifts of Machine Learning-Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals.

Journal of medical Internet research Dec 13, 2024
BACKGROUND: In recent years, machine learning (ML)-based models have been widely used in clinical domains to predict clinical risk events. However, in production, the performances of such models heavily rely on changes in the system and data. The dyn...
Humans Female Aged Male Middle Aged Machine Learning COVID-19 Retrospective Studies Acute Kidney Injury ROC Curve Longitudinal Studies Risk Assessment Hospitals Sepsis
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Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP).

BMJ open Dec 12, 2024
INTRODUCTION: In sepsis treatment, achieving and maintaining effective antibiotic therapy is crucial. However, optimal antibiotic dosing faces challenges due to significant variability among patients with sepsis. Therapeutic drug monitoring (TDM), th...
Meropenem Germany Piperacillin, Tazobactam Drug Combination Female Sepsis Observational Studies as Topic Drug Monitoring Humans Artificial Intelligence Machine Learning Research Design Anti-Bacterial Agents Prospective Studies Intensive Care Units
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The significance of long chain non-coding RNA signature genes in the diagnosis and management of sepsis patients, and the development of a prediction model.

Frontiers in immunology Dec 12, 2024
BACKGROUND: Sepsis is a life-threatening organ dysfunction condition produced by dysregulation of the host response to infection. It is now characterized by a high clinical morbidity and mortality rate, endangering patients' lives and health. The pur...
RNA, Long Noncoding Adult Male Middle Aged Gene Expression Profiling Machine Learning Computational Biology Biomarkers Humans Transcriptome Nomograms Prognosis Sepsis Support Vector Machine Female ROC Curve Databases, Genetic Gene Regulatory Networks
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Utilizing deep learning-based causal inference to explore vancomycin's impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patients.

Microbiology spectrum Dec 10, 2024
Patients with positive blood cultures in the intensive care unit (ICU) are at high risk for septic acute kidney injury requiring continuous kidney replacement therapy (CKRT), especially when treated with vancomycin. This study developed a machine lea...
Blood Culture Vancomycin Male Middle Aged Deep Learning Sepsis Anti-Bacterial Agents Humans Intensive Care Units Retrospective Studies Female Machine Learning Continuous Renal Replacement Therapy Aged Acute Kidney Injury Adult
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Prediction of mortality in sepsis patients using stacked ensemble machine learning algorithm.

Journal of postgraduate medicine Dec 6, 2024
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This study aims to identify the utility of stacked ensemble algorithm in predicting mortality.
Humans Machine Learning Algorithms Prognosis Female Aged Cohort Studies Hospital Mortality Support Vector Machine Adult Area Under Curve Male Middle Aged Sepsis
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Heparin in sepsis: current clinical findings and possible mechanisms.

Frontiers in immunology Dec 6, 2024
Sepsis is a clinical syndrome resulting from the interaction between coagulation, inflammation, immunity and other systems. Coagulation activation is an initial factor for sepsis to develop into multiple organ dysfunction. Therefore, anticoagulant th...
Blood Coagulation Disseminated Intravascular Coagulation Animals Sepsis Heparin Anticoagulants Humans Biomarkers
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PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS.

Shock (Augusta, Ga.) Dec 3, 2024
Purpose: This study aims to establish and validate machine learning-based models to predict death in hospital among critical orthopedic trauma patients with sepsis or respiratory failure. Methods: This study collected 523 patients from the Medical In...
Humans Machine Learning Middle Aged Sepsis Hospital Mortality Wounds and Injuries Female Aged Adult Male
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