Predictive Risk Model for Serious Falls Among Older Persons Living With HIV

Older (older than 50 years) persons living with HIV (PWH) are at elevated risk for falls. We explored how well our algorithm for predicting falls in a general population of middle-aged Veterans (age 45-65 years) worked among older PWH who use antiretroviral therapy (ART) and whether model fit improv...

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Bibliographic Details
Published in:	Journal of acquired immune deficiency syndromes (1999) Vol. 91; no. 2; pp. 168 - 174
Main Authors:	Womack, Julie A., Murphy, Terrence E., Leo-Summers, Linda, Bates, Jonathan, Jarad, Samah, Smith, Alexandria C., Gill, Thomas M., Hsieh, Evelyn, Rodriguez-Barradas, Maria C., Tien, Phyllis C., Yin, Michael T., Brandt, Cynthia A., Justice, Amy C.
Format:	Journal Article
Language:	English
Published:	United States JAIDS Journal of Acquired Immune Deficiency Syndromes 01-10-2022 Lippincott Williams & Wilkins Ovid Technologies
Subjects:	Accidental Falls Aged Aged, 80 and over Aging Algorithms Antiretroviral agents Antiretroviral therapy Body mass Body mass index Body size Calibration Coefficients Cohort analysis Cohort Studies Demographics Falls Health care HIV HIV Infections - complications HIV Infections - drug therapy Human immunodeficiency virus Humans Machine learning Middle age Middle Aged Older people Polypharmacy Radiology Refitting Regression models Risk Statistical analysis Substance use
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