AIMC Topic: Shock, Septic

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LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock.

Scientific reports Oct 22, 2019
Sepsis is a major health concern with global estimates of 31.5 million cases per year. Case fatality rates are still unacceptably high, and early detection and treatment is vital since it significantly reduces mortality rates for this condition. Appr...
Algorithms ROC Curve Shock, Septic Area Under Curve Early Diagnosis Humans Machine Learning
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Interleukin-3 Sensitivity and Specificity Female Humans Cohort Studies Reproducibility of Results Male Prospective Studies Aged Hospital Mortality Middle Aged Prognosis Shock, Septic Sepsis Adult Intensive Care Units Predictive Value of Tests
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
Area Under Curve Emergency Service, Hospital Vital Signs San Francisco Female Adolescent Databases, Factual Severity of Illness Index Boston Male Aged Prognosis Hospital Mortality Length of Stay Patients' Rooms Middle Aged Humans Young Adult Retrospective Studies ROC Curve Sepsis Machine Learning Intensive Care Units Shock, Septic Adult Algorithms
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HHV-8-associated haemophagocytic lymphohistiocytosis in a patient with advanced AIDS.

BMJ case reports Dec 22, 2017
We present a patient with advanced AIDS admitted with recurrent shock of unclear aetiology, fevers, altered mental status and refractory cytopenias. His case posed a diagnostic challenge because evaluation of septic shock in the setting of advanced A...
Shock, Septic Acquired Immunodeficiency Syndrome Diagnosis, Differential CD4 Lymphocyte Count Humans Male Anti-Inflammatory Agents Fatal Outcome Herpesvirus 8, Human Middle Aged Bone Marrow Lymphohistiocytosis, Hemophagocytic Herpesviridae Infections Fever Dexamethasone
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Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.

Journal of critical care Nov 16, 2017
PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid aging, multi-organ failure and increased mortality in experimental sepsis. We hypothesized that lower alpha-KL obtained at the onset of septic shock c...
Hospital Mortality Shock, Septic Klotho Proteins Glucuronidase Predictive Value of Tests Stress, Physiological Female Aged Humans Male Middle Aged Prospective Studies Biomarkers Prognosis Intensive Care Units
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Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality improvement. In this study, aiming to accelerate the process of extracting postoperative outcomes from medical charts, we developed an automated post...
Medical Audit Shock, Septic Pneumonia Urinary Tract Infections Surgical Wound Infection Humans Electronic Health Records Postoperative Complications Sepsis Machine Learning Algorithms
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Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.

Journal of biomedical informatics Dec 21, 2016
BACKGROUND AND OBJECTIVE: Critical care patient events like sepsis or septic shock in intensive care units (ICUs) are dangerous complications which can cause multiple organ failures and eventual death. Preventive prediction of such events will allow ...
Risk Assessment Shock, Septic Multiple Organ Failure Blood Pressure Heart Rate Humans Machine Learning Forecasting Intensive Care Units Critical Care
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Interhospital Transfer of Children in Septic Shock: A Clinician Interview Qualitative Study.

Journal of intensive care medicine Dec 14, 2016
OBJECTIVE:: To determine the factors that influence the decision to transfer children in septic shock from level II to level I pediatric intensive care unit (PICU) care.
Humans Renal Replacement Therapy Clinical Decision-Making Combined Modality Therapy Vasoconstrictor Agents Patient Transfer Shock, Septic Male Catheterization, Central Venous Qualitative Research Fluid Therapy Adolescent Extracorporeal Membrane Oxygenation Intensive Care Units, Pediatric
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Serial change of C1 inhibitor in patients with sepsis--a preliminary report.

The American journal of emergency medicine Dec 19, 2015
OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikrein-kinin, fibrinolytic, and coagulation systems. The biologic activities of C1INH can be divided into the regulation of vascular permeability and ant...
Complement C1 Inhibitor Protein Female Aged Aged, 80 and over Humans Male Prospective Studies Intensive Care Units Sepsis Shock, Septic Complement C1 Inactivator Proteins Middle Aged Disease Progression
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Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Sepsis is one of the leading causes of death in the United States. Early administration of treatment has been shown to decrease sepsis-related mortality and morbidity. Existing scoring systems such as the Acute Physiology and Chronic Health Evaluatio...
Sepsis Shock, Septic APACHE Electronic Data Processing Humans Machine Learning Prognosis
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