AIMC Topic: Critical Illness

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Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.

Critical care (London, England) Aug 16, 2019
BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for AKI using routinely collected patient information, and accessibl...
Surveys and Questionnaires Clinical Competence ROC Curve Humans Area Under Curve Machine Learning Physicians Critical Illness Prospective Studies Female Acute Kidney Injury Aged Adult Male Middle Aged
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A deep learning model for real-time mortality prediction in critically ill children.

Critical care (London, England) Aug 14, 2019
BACKGROUND: The rapid development in big data analytics and the data-rich environment of intensive care units together provide unprecedented opportunities for medical breakthroughs in the field of critical care. We developed and validated a machine l...
Retrospective Studies Critical Illness Republic of Korea Female Male Risk Assessment Humans Infant Child, Preschool Deep Learning Child Big Data ROC Curve Adolescent Area Under Curve Cohort Studies Pediatrics Mortality
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Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Scientific reports May 29, 2019
Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial i...
Critical Illness Intensive Care Units Female Aged Adult Male Humans Prospective Studies Feasibility Studies Delirium Critical Care Video Recording Accelerometry Middle Aged Deep Learning Pilot Projects Wearable Electronic Devices Remote Sensing Technology
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Length of Stay Adolescent Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Adult Male Middle Aged Severity of Illness Index Deep Learning Probability Critical Care Organ Dysfunction Scores Humans Databases, Factual Retrospective Studies Critical Illness Intensive Care Units Female Aged Young Adult
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A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

International journal of medical informatics Dec 10, 2018
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.
Blood Pressure Heart Rate Models, Cardiovascular Male Cardiovascular Diseases Female Middle Aged Aged Humans Sepsis Aged, 80 and over Adolescent Machine Learning Young Adult Algorithms Adult Biomarkers Retrospective Studies Critical Illness Intensive Care Units
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Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

JAMA network open Dec 7, 2018
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, usin...
Electronic Health Records Female Reproducibility of Results Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index Models, Statistical Natural Language Processing Humans Retrospective Studies Critical Illness Intensive Care Units Critical Care Outcomes
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Vitamin D in the ICU: More sun for critically ill adult patients?

Nutrition (Burbank, Los Angeles County, Calif.) Nov 16, 2018
Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin D has a myriad of biological functions relevant to this population, including immunomodulation by the alteration of cytokine production and nuclear f...
Nutrition Therapy Adult Humans Hospital Mortality Critical Illness Vitamin D Intensive Care Units Vitamin D Deficiency Dietary Supplements Vitamins
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Vasopressin antagonist efficacy and safety in volume-overloaded critically ill patients: a new therapeutic alternative.

European journal of hospital pharmacy : science and practice Nov 10, 2018
OBJECTIVES: To assess tolvaptan's efficacy and safety in critical care patients with volume overload.
Diuretics Middle Aged Treatment Outcome Tolvaptan Humans Water-Electrolyte Imbalance Prospective Studies Antidiuretic Hormone Receptor Antagonists Critical Illness Diuresis Female Male
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Female Patient Admission Respiratory Insufficiency Aged APACHE Adult Infections Cross-Sectional Studies Liver Failure Male Organ Dysfunction Scores Humans Prognosis Middle Aged Critical Illness Time Factors Intensive Care Units Neoplasms Hospital Mortality Respiration, Artificial Vitamin D Comorbidity Vitamin D Deficiency Severity of Illness Index C-Reactive Protein Acute Disease
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Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients.

JAMA network open Oct 5, 2018
IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are often described in clinical notes, rather than structured data, which make them difficult to identify o...
ROC Curve Support Vector Machine Natural Language Processing Hemorrhage Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Humans Machine Learning Critical Illness Electronic Health Records
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