Clinical and research applications of natural language processing for heart failure.

Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in general and in heart failure (HF), in particular, by processing vast amounts of previously untapped semi-structured and unstructured textual data in electronic health records. NLP has several applications to clinical research, including dramatically improving processes for cohort assembly, disease phenotyping, and outcome ascertainment, among others.

Medical Decision-Making and Revascularization in Ischemic Cardiomyopathy.

Ischemic cardiomyopathy (ICM) is the most common underlying etiology of heart failure in the United States and is a significant contributor to deaths due to cardiovascular disease worldwide. The diagnosis and management of ICM has advanced significantly over the past few decades, and the evidence for medical therapy in ICM is both compelling and robust. This contrasts with evidence for coronary revascularization, which is more controversial and favors surgical approaches.

Developing Clinical Risk Prediction Models for Worsening Heart Failure Events and Death by Left Ventricular Ejection Fraction.

Background There is a need to develop electronic health record-based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Results We studied adults with heart failure (HF) from 2011 to 2019 within an integrated health care delivery system. WHF encounters were ascertained using natural language processing and structured data.

The association between changes in echocardiography and risk of heart failure hospitalizations and death in adults with chronic kidney disease.

Adults with chronic kidney disease (CKD) are at increased risk for developing heart failure (HF). However, longitudinal cardiac remodeling in CKD has not been well-characterized and its association with HF outcomes remains unknown. We evaluated the association between change in echocardiographic parameters between baseline and year 4 with the subsequent risk of HF hospitalization and death using Cox proportional hazard models in a landmark analysis of a prospective multicenter CKD cohort.

A phase I human trial of mitoguazone and gemcitabine sequential bi-weekly treatment of cancer patients.

Our previous studies have demonstrated the existence of synergism in a combination therapy using mitoguazone and gemcitabine when the mitoguazone is administered 24 hours before gemcitabine. Based on the cell culture and animal experimental results, a phase I clinical trial was performed in order to determine the toxicity of the combined treatment. Mitoguazone and gemcitabine were administered sequentially: mitoguazone on day 1 and gemcitabine on day 2.