AIMC Topic: Risk Factors

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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...
Biomarkers Retrospective Studies Acute Kidney Injury Female Risk Factors Aged Humans Treatment Outcome Aortic Valve Predictive Value of Tests Coronary Angiography Creatinine Patient Selection Mitral Valve Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Hospital Mortality Heart Valve Diseases Heart Valve Prosthesis Implantation Time-to-Treatment Renal Insufficiency
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Emergent laparotomy and temporary abdominal closure for the cirrhotic patient.

The Journal of surgical research Nov 11, 2016
BACKGROUND: Temporary abdominal closure (TAC) may be performed for cirrhotic patients undergoing emergent laparotomy. The effects of cirrhosis on physiologic parameters, resuscitation requirements, and outcomes following TAC are unknown. We hypothesi...
Adolescent Young Adult Humans Intra-Abdominal Hypertension Adult Liver Cirrhosis Retrospective Studies Negative-Pressure Wound Therapy Male Female Treatment Outcome Wounds and Injuries Middle Aged Risk Factors Follow-Up Studies Emergencies Aged Laparotomy Sepsis Aged, 80 and over Abdominal Wound Closure Techniques
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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 ...
Middle Aged Hospitals Time Factors Hospital Mortality Logistic Models Humans Treatment Outcome Machine Learning Databases, Factual Propensity Score Algorithms Cause of Death Female Likelihood Functions Registries Massachusetts Risk Factors Percutaneous Coronary Intervention Process Assessment, Health Care Aged Data Mining Aged, 80 and over Quality Indicators, Health Care Male Multivariate Analysis
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Area Under Curve Heart Failure Data Mining Early Diagnosis Pennsylvania Humans Machine Learning Case-Control Studies Incidence Time Factors ROC Curve Logistic Models Prognosis Predictive Value of Tests Electronic Health Records Female Risk Factors Male Risk Assessment
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Humans Algorithms Databases, Factual Female Reproducibility of Results Risk Factors Aged Randomized Controlled Trials as Topic Heart Failure Data Mining Telemedicine Patient Readmission Male Nonlinear Dynamics Middle Aged Risk Assessment Time Factors Logistic Models Support Vector Machine
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Identifying Drug-Drug Interactions by Data Mining: A Pilot Study of Warfarin-Associated Drug Interactions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechanisms of action. Our aim was to investigate whether drug-drug interactions were discoverable without ...
Drug Prescriptions Administrative Claims, Healthcare Humans Polypharmacy Machine Learning Retrospective Studies Female Warfarin Risk Factors Logistic Models International Normalized Ratio Aged Predictive Value of Tests Registries Anticoagulants Drug Interactions Blood Coagulation Aged, 80 and over Data Mining Male Atrial Fibrillation Pilot Projects
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Incidence of severe renal dysfunction among individuals taking warfarin and implications for non-vitamin K oral anticoagulants.

American heart journal Nov 4, 2016
BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfunction in patients requiring oral anticoagulation to help guide initial drug choice and provide a rational basis for interval monitoring of renal func...
Creatinine Atrial Fibrillation Multivariate Analysis Odds Ratio Kaplan-Meier Estimate Aged Male Middle Aged Severity of Illness Index Incidence Logistic Models Renal Insufficiency, Chronic Age Factors Anticoagulants Warfarin Coronary Artery Disease Stroke Humans Female Risk Factors
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Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

European psychiatry : the journal of the Association of European Psychiatrists Nov 1, 2016
BACKGROUND: Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depress...
Humans Mental Health Male Middle Aged Depression Logistic Models Cluster Analysis Depressive Disorder Machine Learning Algorithms Computer Simulation Female Risk Factors Adult
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A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

Clinical journal of the American Society of Nephrology : CJASN Oct 10, 2016
BACKGROUND AND OBJECTIVES: Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk fac...
Middle Aged Electronic Health Records Disease Progression Outpatient Clinics, Hospital Incidence Female Humans Proportional Hazards Models Natural Language Processing Risk Factors Retrospective Studies Boston Kidney Failure, Chronic Aged Nephrology Adult Male
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Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

Human brain mapping Oct 4, 2016
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on t...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Predictive Value of Tests Brain Psychotic Disorders Risk Factors Neuropsychological Tests Male Psychiatric Status Rating Scales Adolescent Child ROC Curve
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