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Geriatrics Commons

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Full-Text Articles in Geriatrics

Advanced Heart Failure Treatment Options Among The Elderly, German Guzman-Gutierrez, Yang Shi, Matthew Rappelt, Arshad Jahangir, Vinay Thohan Nov 2016

Advanced Heart Failure Treatment Options Among The Elderly, German Guzman-Gutierrez, Yang Shi, Matthew Rappelt, Arshad Jahangir, Vinay Thohan

Journal of Patient-Centered Research and Reviews

The aging human population has emerged as a critically important factor in health care, not only due to the unique physiologic and pathologic processes associated with aging but also because of the evolution of medical and surgical therapies that have increased quality and quantity of life. Heart failure is a disease found most commonly among older populations in whom it is associated with high morbidity and mortality. Heart failure disproportionately affects the elderly, and it stands to reason that the most terminal stage, known as advanced heart failure (AHF), is more common among the elderly. Despite limited data, treatment options …


Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone Nov 2015

Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Background: A real-time electronic health record (EHR) predictive model that identifies older patients at risk for readmission and mortality may assist the health care team in improved patient care.

Purpose: This study was performed to generate an automated 30-day readmission and 30-day mortality risk model using data from the EHR in hospitalized older adults.

Methods: This was a retrospective cohort study. Included were patients age 65 years and older admitted to the hospital from July 2012 to December 2013. An automated predictive model was derived from variables collected from the EHR including socioeconomic factors, medical diagnoses and health care utilization. …