AIMC Topic: Organ Dysfunction Scores

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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Aged Male Female Severity of Illness Index Sepsis Comorbidity Middle Aged Critical Illness Electronic Health Records Intensive Care Units Humans Heart Rate Machine Learning Sex Factors Blood Pressure Socioeconomic Factors Organ Dysfunction Scores Hospital Mortality Decision Support Systems, Clinical Vital Signs ROC Curve Age Factors Time-to-Treatment Time Factors Academic Medical Centers Electrocardiography
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Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

Clinical laboratory Dec 1, 2016
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
Calcitonin Multiple Trauma Cell-Free Nucleic Acids C-Reactive Protein Predictive Value of Tests Intensive Care Units Hospital Mortality Biomarkers Adult Lactic Acid Reproducibility of Results ROC Curve Prognosis Female Male Surgical Procedures, Operative Length of Stay Time Factors Humans DNA Postoperative Complications Risk Factors Organ Dysfunction Scores Sepsis Middle Aged Early Diagnosis Injury Severity Score Area Under Curve
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