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Subgroups of Patients with Distinct Health Utility Profiles after AKI

KEY POINTS: Health utility profiles can be identified at 60 days after AKI. Patient subgroups with distinct health utility profiles have different characteristics at index hospitalization and outcomes at 1 year. These profiles may be useful when considering resources to improve the physical and emot...

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Autores principales: Kwong, Yuenting D., Liu, Kathleen D., Hsu, Chi-yuan, Cooper, Bruce, Palevsky, Paul M., Kellum, John A., Johansen, Kirsten L., Miaskowski, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Nephrology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371285/
https://www.ncbi.nlm.nih.gov/pubmed/37357351
http://dx.doi.org/10.34067/KID.0000000000000201
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author Kwong, Yuenting D.
Liu, Kathleen D.
Hsu, Chi-yuan
Cooper, Bruce
Palevsky, Paul M.
Kellum, John A.
Johansen, Kirsten L.
Miaskowski, Christine
author_facet Kwong, Yuenting D.
Liu, Kathleen D.
Hsu, Chi-yuan
Cooper, Bruce
Palevsky, Paul M.
Kellum, John A.
Johansen, Kirsten L.
Miaskowski, Christine
author_sort Kwong, Yuenting D.
collection PubMed
description KEY POINTS: Health utility profiles can be identified at 60 days after AKI. Patient subgroups with distinct health utility profiles have different characteristics at index hospitalization and outcomes at 1 year. These profiles may be useful when considering resources to improve the physical and emotional health of patients after AKI. BACKGROUND: A large amount of interindividual variability exists in health-related quality of life outcomes after AKI. This study aimed to determine whether subgroups of early AKI survivors could be identified on the basis of distinct health utility impairment profiles ascertained at 60 days after AKI and whether these subgroups differed in clinical and biomarker characteristics at index hospitalization and outcomes at 1-year follow-up. METHODS: This retrospective analysis used data from the Biologic Markers of Renal Recovery for the Kidney study, an observational subcohort of the Acute Renal Failure Trial Network study. Of 402 patients who survived to 60 days after AKI, 338 completed the Health Utility Index 3 survey, which measures impairments in eight health attributes. Latent class analysis was used to identify subgroups of patients with distinct health utility profiles. RESULTS: Three subgroups with distinct health utility impairment profiles were identified: Low (28% of participants), Moderate (58%), and High (14%) with a median of one, four, and six impairments across the eight health attributes at 60 days after AKI, respectively. Patient subgroups differed in weight, history of cerebrovascular disease, intensity of dialysis, hospital length of stay, and dialysis dependence. Serum creatinine and blood urea nitrogen at index hospitalization did not differ among the three subgroups. The High impairment subgroup had higher levels of IL-6 and soluble TNF receptor 2 at study day 1. The three subgroups had different 1-year mortality rates: 5% in the Low, 21% in the Moderate, and 52% in the High impairment subgroup. CONCLUSION: Patient subgroups with distinct health utility impairment profiles can be identified 60 days after AKI. These subgroups have different characteristics at index hospitalization. A higher level of impairment at 60 days was associated with decreased survival.
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spelling pubmed-103712852023-08-03 Subgroups of Patients with Distinct Health Utility Profiles after AKI Kwong, Yuenting D. Liu, Kathleen D. Hsu, Chi-yuan Cooper, Bruce Palevsky, Paul M. Kellum, John A. Johansen, Kirsten L. Miaskowski, Christine Kidney360 Original Investigation KEY POINTS: Health utility profiles can be identified at 60 days after AKI. Patient subgroups with distinct health utility profiles have different characteristics at index hospitalization and outcomes at 1 year. These profiles may be useful when considering resources to improve the physical and emotional health of patients after AKI. BACKGROUND: A large amount of interindividual variability exists in health-related quality of life outcomes after AKI. This study aimed to determine whether subgroups of early AKI survivors could be identified on the basis of distinct health utility impairment profiles ascertained at 60 days after AKI and whether these subgroups differed in clinical and biomarker characteristics at index hospitalization and outcomes at 1-year follow-up. METHODS: This retrospective analysis used data from the Biologic Markers of Renal Recovery for the Kidney study, an observational subcohort of the Acute Renal Failure Trial Network study. Of 402 patients who survived to 60 days after AKI, 338 completed the Health Utility Index 3 survey, which measures impairments in eight health attributes. Latent class analysis was used to identify subgroups of patients with distinct health utility profiles. RESULTS: Three subgroups with distinct health utility impairment profiles were identified: Low (28% of participants), Moderate (58%), and High (14%) with a median of one, four, and six impairments across the eight health attributes at 60 days after AKI, respectively. Patient subgroups differed in weight, history of cerebrovascular disease, intensity of dialysis, hospital length of stay, and dialysis dependence. Serum creatinine and blood urea nitrogen at index hospitalization did not differ among the three subgroups. The High impairment subgroup had higher levels of IL-6 and soluble TNF receptor 2 at study day 1. The three subgroups had different 1-year mortality rates: 5% in the Low, 21% in the Moderate, and 52% in the High impairment subgroup. CONCLUSION: Patient subgroups with distinct health utility impairment profiles can be identified 60 days after AKI. These subgroups have different characteristics at index hospitalization. A higher level of impairment at 60 days was associated with decreased survival. American Society of Nephrology 2023-06-26 /pmc/articles/PMC10371285/ /pubmed/37357351 http://dx.doi.org/10.34067/KID.0000000000000201 Text en Copyright © 2023 The Author(s). Published byWolters Kluwer Health, Inc. on behalf of the American Society of Nephrology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Investigation
Kwong, Yuenting D.
Liu, Kathleen D.
Hsu, Chi-yuan
Cooper, Bruce
Palevsky, Paul M.
Kellum, John A.
Johansen, Kirsten L.
Miaskowski, Christine
Subgroups of Patients with Distinct Health Utility Profiles after AKI
title Subgroups of Patients with Distinct Health Utility Profiles after AKI
title_full Subgroups of Patients with Distinct Health Utility Profiles after AKI
title_fullStr Subgroups of Patients with Distinct Health Utility Profiles after AKI
title_full_unstemmed Subgroups of Patients with Distinct Health Utility Profiles after AKI
title_short Subgroups of Patients with Distinct Health Utility Profiles after AKI
title_sort subgroups of patients with distinct health utility profiles after aki
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371285/
https://www.ncbi.nlm.nih.gov/pubmed/37357351
http://dx.doi.org/10.34067/KID.0000000000000201
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