AIMC Topic: Hospital Mortality

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Validation of a definition of excessive postoperative bleeding in infants undergoing cardiac surgery with cardiopulmonary bypass.

The Journal of thoracic and cardiovascular surgery Dec 13, 2017
OBJECTIVE: To derive and validate an objective definition of postoperative bleeding in neonates and infants undergoing cardiac surgery with cardiopulmonary bypass.
Hospital Mortality Cardiac Surgical Procedures Humans Treatment Outcome Cardiopulmonary Bypass Prospective Studies Age Factors Patient Readmission Retrospective Studies Drainage Terminology as Topic Female Postoperative Hemorrhage Reoperation Infant, Newborn Risk Factors Chest Tubes Erythrocyte Transfusion Male Risk Assessment Infant Length of Stay Time Factors
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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...
Humans Prospective Studies Glucuronidase Biomarkers Predictive Value of Tests Prognosis Stress, Physiological Intensive Care Units Aged Female Male Middle Aged Hospital Mortality Shock, Septic Klotho Proteins
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Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.

Heart & lung : the journal of critical care Oct 6, 2017
BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is higher in women compared with men. The purpose of this study is to develop and validate prediction models for all-cause in-hospital mortality in women a...
Aged Risk Assessment Hospital Mortality United States ST Elevation Myocardial Infarction Cause of Death Humans Machine Learning Prognosis Retrospective Studies Female
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Severity of Illness Index Adolescent Hospital Mortality ROC Curve Bayes Theorem Outcome Assessment, Health Care Aged Heart Diseases Aged, 80 and over Young Adult Adult Male Humans Middle Aged Machine Learning Databases, Factual Intensive Care Units Female
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A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

PloS one Jan 6, 2017
BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate predic...
Comorbidity Hospital Mortality ROC Curve Logistic Models Models, Statistical Decision Support Techniques Cardiac Surgical Procedures Humans Cardiopulmonary Bypass Female Machine Learning Reproducibility of Results Aged Male Middle Aged
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Acute systolic heart failure with normal admission BNP: clinical features and outcomes.

International journal of cardiology Dec 20, 2016
INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart failure (HF) and normal admission B-type natriuretic peptide (BNP) has not been previously explored.
Biomarkers Natriuretic Peptide, Brain Prognosis United States Heart Failure, Systolic Retrospective Studies Patient Admission Follow-Up Studies Female Ventricular Function, Left Humans Acute Disease Survival Rate Stroke Volume Morbidity Male Middle Aged Patient Readmission Disease Progression Time Factors Hospital Mortality
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Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BMC medical research methodology Nov 22, 2016
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical ...
Humans Neural Networks, Computer Prognosis Prevalence Comorbidity Hospital Mortality Diabetes Mellitus, Type 2 Lower Extremity Patient Discharge Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Outcome Assessment, Health Care Multivariate Analysis Spain Amputation, Surgical
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Heart Valve Prosthesis Implantation Time-to-Treatment Renal Insufficiency Predictive Value of Tests Coronary Angiography Creatinine Patient Selection Mitral Valve Heart Valve Diseases Acute Kidney Injury Female Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Hospital Mortality Humans Treatment Outcome Biomarkers Aortic Valve Retrospective Studies
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Algorithms Databases, Factual Female Risk Factors Aged Aged, 80 and over Male Middle Aged Hospitals Time Factors Hospital Mortality Logistic Models Multivariate Analysis Humans Treatment Outcome Propensity Score Cause of Death Machine Learning Likelihood Functions Registries Massachusetts Percutaneous Coronary Intervention Process Assessment, Health Care Data Mining Quality Indicators, Health Care
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Procalcitonin as a potential predicting factor for prognosis in bacterial meningitis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 26, 2016
We investigated the potential role of serum procalcitonin in differentiating bacterial meningitis from viral meningitis, and in predicting the prognosis in patients with bacterial meningitis. This was a retrospective study of 80 patients with bacteri...
Predictive Value of Tests Meningitis, Bacterial Retrospective Studies Calcitonin Male Meningitis, Viral Female Middle Aged Aged Adolescent Humans Aged, 80 and over Hospital Mortality Biomarkers Young Adult Diagnosis, Differential Prognosis Adult
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