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Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19

Multistate models yield high-fidelity analyses of the dynamic state transition and temporal dimensions of a clinical condition’s natural history, offering superiority over aggregate modeling techniques for addressing these types of problems. OBJECTIVES: To demonstrate the utility of these models in...

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Autores principales: Lyons, Patrick G., Mody, Aaloke, Bewley, Alice F., Schoer, Morgan, Neelam Raju, Bharat, Geng, Elvin, Payne, Philip R. O., Sinha, Pratik, Vijayan, Anitha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722556/
https://www.ncbi.nlm.nih.gov/pubmed/36479445
http://dx.doi.org/10.1097/CCE.0000000000000784
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author Lyons, Patrick G.
Mody, Aaloke
Bewley, Alice F.
Schoer, Morgan
Neelam Raju, Bharat
Geng, Elvin
Payne, Philip R. O.
Sinha, Pratik
Vijayan, Anitha
author_facet Lyons, Patrick G.
Mody, Aaloke
Bewley, Alice F.
Schoer, Morgan
Neelam Raju, Bharat
Geng, Elvin
Payne, Philip R. O.
Sinha, Pratik
Vijayan, Anitha
author_sort Lyons, Patrick G.
collection PubMed
description Multistate models yield high-fidelity analyses of the dynamic state transition and temporal dimensions of a clinical condition’s natural history, offering superiority over aggregate modeling techniques for addressing these types of problems. OBJECTIVES: To demonstrate the utility of these models in critical care, we examined acute kidney injury (AKI) development, progression, and outcomes in COVID-19 critical illness through multistate analyses. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study at an urban tertiary-care academic hospital in the United States. All patients greater than or equal to 18 years in an ICU with COVID-19 in 2020, excluding patients with preexisting end-stage renal disease. MAIN OUTCOMES AND MEASURES: Using electronic health record data, we determined AKI presence/stage in discrete 12-hour time windows and fit multistate models to determine longitudinal transitions and outcomes. RESULTS: Of 367 encounters, 241 (66%) experienced AKI (maximal stages: 88 stage-1, 49 stage-2, 104 stage-3 AKI [51 received renal replacement therapy (RRT), 53 did not]). Patients receiving RRT overwhelmingly received invasive mechanical ventilation (IMV) (n = 60, 95%) compared with the AKI-without-RRT (n = 98, 53%) and no-AKI groups (n = 39, 32%; p < 0.001), with similar mortality patterns (RRT: n = 36, 57%; AKI: n = 74, 40%; non-AKI: n = 23, 19%; p < 0.001). After 24 hours in the ICU, almost half the cohort had AKI (44.9%; 95% CI, 41.6–48.2%). At 7 days after stage-1 AKI, 74.0% (63.6–84.4) were AKI-free or discharged. By contrast, fewer patients experiencing stage-3 AKI were recovered (30.0% [24.1–35.8%]) or discharged (7.9% [5.2–10.7%]) after 7 days. Early AKI occurred with similar frequency in patients receiving and not receiving IMV: after 24 hours in the ICU, 20.9% of patients (18.3–23.6%) had AKI and IMV, while 23.4% (20.6–26.2%) had AKI without IMV. CONCLUSIONS AND RELEVANCE: In a multistate analysis of critically ill patients with COVID-19, AKI occurred early and heterogeneously in the course of critical illness. Multistate methods are useful and underused in ICU care delivery science as tools for understanding trajectories, prognoses, and resource needs.
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spelling pubmed-97225562022-12-06 Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19 Lyons, Patrick G. Mody, Aaloke Bewley, Alice F. Schoer, Morgan Neelam Raju, Bharat Geng, Elvin Payne, Philip R. O. Sinha, Pratik Vijayan, Anitha Crit Care Explor Observational Study Multistate models yield high-fidelity analyses of the dynamic state transition and temporal dimensions of a clinical condition’s natural history, offering superiority over aggregate modeling techniques for addressing these types of problems. OBJECTIVES: To demonstrate the utility of these models in critical care, we examined acute kidney injury (AKI) development, progression, and outcomes in COVID-19 critical illness through multistate analyses. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study at an urban tertiary-care academic hospital in the United States. All patients greater than or equal to 18 years in an ICU with COVID-19 in 2020, excluding patients with preexisting end-stage renal disease. MAIN OUTCOMES AND MEASURES: Using electronic health record data, we determined AKI presence/stage in discrete 12-hour time windows and fit multistate models to determine longitudinal transitions and outcomes. RESULTS: Of 367 encounters, 241 (66%) experienced AKI (maximal stages: 88 stage-1, 49 stage-2, 104 stage-3 AKI [51 received renal replacement therapy (RRT), 53 did not]). Patients receiving RRT overwhelmingly received invasive mechanical ventilation (IMV) (n = 60, 95%) compared with the AKI-without-RRT (n = 98, 53%) and no-AKI groups (n = 39, 32%; p < 0.001), with similar mortality patterns (RRT: n = 36, 57%; AKI: n = 74, 40%; non-AKI: n = 23, 19%; p < 0.001). After 24 hours in the ICU, almost half the cohort had AKI (44.9%; 95% CI, 41.6–48.2%). At 7 days after stage-1 AKI, 74.0% (63.6–84.4) were AKI-free or discharged. By contrast, fewer patients experiencing stage-3 AKI were recovered (30.0% [24.1–35.8%]) or discharged (7.9% [5.2–10.7%]) after 7 days. Early AKI occurred with similar frequency in patients receiving and not receiving IMV: after 24 hours in the ICU, 20.9% of patients (18.3–23.6%) had AKI and IMV, while 23.4% (20.6–26.2%) had AKI without IMV. CONCLUSIONS AND RELEVANCE: In a multistate analysis of critically ill patients with COVID-19, AKI occurred early and heterogeneously in the course of critical illness. Multistate methods are useful and underused in ICU care delivery science as tools for understanding trajectories, prognoses, and resource needs. Lippincott Williams & Wilkins 2022-12-01 /pmc/articles/PMC9722556/ /pubmed/36479445 http://dx.doi.org/10.1097/CCE.0000000000000784 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. 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 Observational Study
Lyons, Patrick G.
Mody, Aaloke
Bewley, Alice F.
Schoer, Morgan
Neelam Raju, Bharat
Geng, Elvin
Payne, Philip R. O.
Sinha, Pratik
Vijayan, Anitha
Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title_full Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title_fullStr Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title_full_unstemmed Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title_short Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19
title_sort multistate modeling of clinical trajectories and outcomes in the icu: a proof-of-concept evaluation of acute kidney injury among critically ill patients with covid-19
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722556/
https://www.ncbi.nlm.nih.gov/pubmed/36479445
http://dx.doi.org/10.1097/CCE.0000000000000784
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