AIMC Topic: United States

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Secondary use of electronic health records for building cohort studies through top-down information extraction.

Journal of biomedical informatics
Controlled clinical trials are usually supported with an in-front data aggregation system, which supports the storage of relevant information according to the trial context within a highly structured environment. In contrast to the documentation of c...

The use of natural language processing of infusion notes to identify outpatient infusions.

Pharmacoepidemiology and drug safety
PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if the...

Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' musculoskeletal and mental strain during laparoscopic and robotic sacrocolpopexy.

In-hospital mortality and morbidity after robotic coronary artery surgery.

Journal of cardiothoracic and vascular anesthesia
OBJECTIVES: The objective of this study was to assess the impact of robotic approaches on outcomes of coronary bypass surgery.

Predicting Helicoverpa zea (Lepidoptera: Noctuidae) populations in the southern United States.

Environmental entomology
Forecasting insect pest populations before crops are planted can help improve management and reduce pesticide use. Pests with long dispersal potentials and wide host ranges are difficult to predict but often cause losses in crops across broad spatial...

Comparative safety profiling of sodium zirconate cyclosilicate and patiromer using real-world FAERS data: A pharmacovigilance analysis.

Medicine
This study aimed to detect and contrast the adverse drug event (ADE) signals associated with sodium zirconate cyclosilicate (SZC) and Patiromer by leveraging the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS), thereby in...

Advanced prediction of heart failure risk in elderly diabetic and hypertensive patients using nine machine learning models and novel composite indices: insights from NHANES 2003-2016.

European journal of preventive cardiology
AIMS: As the global population ages, cardiovascular diseases, particularly heart failure (HF), have become leading causes of mortality and disability among elderly patients. Diabetes and hypertension are major risk factors for cardiovascular diseases...

Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.

Journal of medical economics
AIMS: The efficacy of cariprazine for major depressive disorder (MDD) (adjunctive therapy) and bipolar I (BP-I) depression has been demonstrated in clinical trials. This study evaluated the real-world effectiveness of cariprazine in reducing depressi...

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) as predictors of hypertensive patients: Analyses of NHANES data with machine learning.

Medicine
Elevated values of the non-HDL/HDL cholesterol ratio (NHHR) have been associated with increased hypertension risk, indicating its potential as a pathogenic factor, but its assessment remains challenging. We analyzed data from 22,562 hypertensive part...