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Organ Dysfunction Scores

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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 28164563
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.
Adult Area Under Curve Biomarkers C-Reactive Protein Calcitonin Cell-Free Nucleic Acids DNA Early Diagnosis Female Hospital Mortality Humans Injury Severity Score Intensive Care Units Lactic Acid Length of Stay Male Middle Aged Multiple Trauma Organ Dysfunction Scores Postoperative Complications Predictive Value of Tests Prognosis Reproducibility of Results Risk Factors ROC Curve Sepsis Surgical Procedures, Operative Time Factors
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Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

Artificial intelligence in medicine 25579436
INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupi...
Belgium Critical Illness Datasets as Topic Female Humans Intensive Care Units Length of Stay Male Organ Dysfunction Scores Support Vector Machine Survival Analysis
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine 29286945
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...
Academic Medical Centers Age Factors Aged Blood Pressure Comorbidity Critical Illness Decision Support Systems, Clinical Electrocardiography Electronic Health Records Female Heart Rate Hospital Mortality Humans Intensive Care Units Machine Learning Male Middle Aged Organ Dysfunction Scores ROC Curve Sepsis Severity of Illness Index Sex Factors Socioeconomic Factors Time Factors Time-to-Treatment Vital Signs
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[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns 29961290
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. The clinical data of 157 severely burned patients in Augu...
Acute Kidney Injury Burns Explosions Fluid Therapy Hospitalization Humans Logistic Models Machine Learning Organ Dysfunction Scores ROC Curve Sensitivity and Specificity Sepsis
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Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 30052552
OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
Adolescent Artificial Intelligence Case-Control Studies Child Female Heart Rate Humans Intensive Care Units, Pediatric Logistic Models Machine Learning Male Monitoring, Physiologic Organ Dysfunction Scores Predictive Value of Tests Prospective Studies Respiratory Rate Sepsis
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine 30661855
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Aged Early Diagnosis Female Hospitals, Urban Humans Lactic Acid Machine Learning Male Middle Aged Organ Dysfunction Scores Retrospective Studies Sensitivity and Specificity Sepsis Severity of Illness Index
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