AIMC Topic: Risk Factors

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Hyperglycemia Is Associated with Surgical Site Infections among General and Vascular Surgery Patients.

The American surgeon
Surgical site infection (SSI) is a common cause of morbidity in general and vascular surgery patients. There is inconsistent evidence on the association of glycemic status with SSI, and its utility in predicting and mitigating SSI. General and vascul...

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

British journal of anaesthesia
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to test how accurately the patients' performance in a preoperatively performed ton...

Enhancing Risk Assessment in Patients Receiving Chronic Opioid Analgesic Therapy Using Natural Language Processing.

Pain medicine (Malden, Mass.)
OBJECTIVES: Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to initiating opioid therapy. Despite recent dramatic increases in prescription opioid misuse and abus...

Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

Medical care
BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an ele...

Machine Learning-Based Gene Prioritization Identifies Novel Candidate Risk Genes for Inflammatory Bowel Disease.

Inflammatory bowel diseases
BACKGROUND: The inflammatory bowel diseases (IBDs) are chronic inflammatory disorders, associated with genetic, immunologic, and environmental factors. Although hundreds of genes are implicated in IBD etiology, it is likely that additional genes play...

Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review.

American journal of respiratory and critical care medicine
RATIONALE: Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research.

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...