Cargando…
328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV
OBJECTIVES/GOALS: This study aims to determine 1) which urine biomarkers of kidney health measured in the ambulatory setting predict incident hospitalization; 2) to determine whether time-updated measures of ambulatory urine biomarkers and their changes/trajectories have added value over baseline al...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209250/ http://dx.doi.org/10.1017/cts.2022.185 |
_version_ | 1784729907944751104 |
---|---|
author | Lai, Mason Estrella, Michelle |
author_facet | Lai, Mason Estrella, Michelle |
author_sort | Lai, Mason |
collection | PubMed |
description | OBJECTIVES/GOALS: This study aims to determine 1) which urine biomarkers of kidney health measured in the ambulatory setting predict incident hospitalization; 2) to determine whether time-updated measures of ambulatory urine biomarkers and their changes/trajectories have added value over baseline alone. METHODS/STUDY POPULATION: Participants in the Predictors of Acute Renal Injury Study (PARIS), a prospective cohort of 478 HIV+ patients followed at the Johns Hopkins HIV Clinic, had sociodemographic, clinical data, and biosamples taken until hospitalization or up to 3 years annually. Among those hospitalized, clinical data and biosamples were collected serially during hospitalization and at 3 and 12 months post-discharge. For each of the 10 biomarkers measured, we will evaluate the association of the biomarker and risk of incident hospitalization using Cox hazards regression, adjusting for sociodemographics, comorbidities, HIV history, and medications. Biomarkers will be evaluated at baseline and as time-updated and change over time. RESULTS/ANTICIPATED RESULTS: We anticipate that higher baseline levels and increasing levels of urine albumin, α1M, β2M, NGAL, IL-18, KIM-1, MCP-1, YKL-40 will be independently associated with increased risk of incident hospitalization whereas higher and increasing levels of uromodulin and EGF will be associated with lower risk of incident hospitalization. These biomarkers collectively capture the following dimensions of kidney health: endothelial injury, tubular injury and function, inflammation, and fibrosis. We anticipate increased risk of incident hospitalization in HIV+ persons in the highest tertile of baseline, time-updated, and change over time biomarkers, relative to those within the lowest tertile. DISCUSSION/SIGNIFICANCE: This study will improve our understanding of the evolution of biomarkers of kidney health from the ambulatory to the hospitalized setting and will quantify the clinical implications of subclinical kidney damage among people living with HIV, a high-risk patient population with unique kidney pathophysiology. |
format | Online Article Text |
id | pubmed-9209250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92092502022-07-01 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV Lai, Mason Estrella, Michelle J Clin Transl Sci Valued Approaches OBJECTIVES/GOALS: This study aims to determine 1) which urine biomarkers of kidney health measured in the ambulatory setting predict incident hospitalization; 2) to determine whether time-updated measures of ambulatory urine biomarkers and their changes/trajectories have added value over baseline alone. METHODS/STUDY POPULATION: Participants in the Predictors of Acute Renal Injury Study (PARIS), a prospective cohort of 478 HIV+ patients followed at the Johns Hopkins HIV Clinic, had sociodemographic, clinical data, and biosamples taken until hospitalization or up to 3 years annually. Among those hospitalized, clinical data and biosamples were collected serially during hospitalization and at 3 and 12 months post-discharge. For each of the 10 biomarkers measured, we will evaluate the association of the biomarker and risk of incident hospitalization using Cox hazards regression, adjusting for sociodemographics, comorbidities, HIV history, and medications. Biomarkers will be evaluated at baseline and as time-updated and change over time. RESULTS/ANTICIPATED RESULTS: We anticipate that higher baseline levels and increasing levels of urine albumin, α1M, β2M, NGAL, IL-18, KIM-1, MCP-1, YKL-40 will be independently associated with increased risk of incident hospitalization whereas higher and increasing levels of uromodulin and EGF will be associated with lower risk of incident hospitalization. These biomarkers collectively capture the following dimensions of kidney health: endothelial injury, tubular injury and function, inflammation, and fibrosis. We anticipate increased risk of incident hospitalization in HIV+ persons in the highest tertile of baseline, time-updated, and change over time biomarkers, relative to those within the lowest tertile. DISCUSSION/SIGNIFICANCE: This study will improve our understanding of the evolution of biomarkers of kidney health from the ambulatory to the hospitalized setting and will quantify the clinical implications of subclinical kidney damage among people living with HIV, a high-risk patient population with unique kidney pathophysiology. Cambridge University Press 2022-04-19 /pmc/articles/PMC9209250/ http://dx.doi.org/10.1017/cts.2022.185 Text en © The Association for Clinical and Translational Science 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Valued Approaches Lai, Mason Estrella, Michelle 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title | 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title_full | 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title_fullStr | 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title_full_unstemmed | 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title_short | 328 Urine Biomarker Predictors of Incident Hospitalization in People Living with HIV |
title_sort | 328 urine biomarker predictors of incident hospitalization in people living with hiv |
topic | Valued Approaches |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209250/ http://dx.doi.org/10.1017/cts.2022.185 |
work_keys_str_mv | AT laimason 328urinebiomarkerpredictorsofincidenthospitalizationinpeoplelivingwithhiv AT estrellamichelle 328urinebiomarkerpredictorsofincidenthospitalizationinpeoplelivingwithhiv |