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The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One

Approximately one in 30 patients with acute respiratory failure (ARF) undergoes an inter-ICU transfer. Our objectives are to describe inter-ICU transfer patterns and evaluate the impact of timing of transfer on patient-centered outcomes. DESIGN: Retrospective, quasi-experimental study. SETTING: We u...

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Autores principales: Nadig, Nandita R., Brinton, Daniel L., Simpson, Kit N., Goodwin, Andrew J., Simpson, Annie N., Ford, Dee W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893307/
https://www.ncbi.nlm.nih.gov/pubmed/35261978
http://dx.doi.org/10.1097/CCE.0000000000000642
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author Nadig, Nandita R.
Brinton, Daniel L.
Simpson, Kit N.
Goodwin, Andrew J.
Simpson, Annie N.
Ford, Dee W.
author_facet Nadig, Nandita R.
Brinton, Daniel L.
Simpson, Kit N.
Goodwin, Andrew J.
Simpson, Annie N.
Ford, Dee W.
author_sort Nadig, Nandita R.
collection PubMed
description Approximately one in 30 patients with acute respiratory failure (ARF) undergoes an inter-ICU transfer. Our objectives are to describe inter-ICU transfer patterns and evaluate the impact of timing of transfer on patient-centered outcomes. DESIGN: Retrospective, quasi-experimental study. SETTING: We used the Healthcare Cost and Utilization Project State Inpatient Databases in five states (Florida, Maryland, Mississippi, New York, and Washington) during 2015–2017. PARTICIPANTS: We selected patients with International Classification of Diseases, 9th and 10th Revision codes of respiratory failure and mechanical ventilation who underwent an inter-ICU transfer (n = 6,718), grouping as early (≤ 2 d) and later transfers (3+ d). To control for potential selection bias, we propensity score matched patients (1:1) to model propensity for early transfer using a priori defined patient demographic, clinical, and hospital variables. MAIN OUTCOMES: Inhospital mortality, hospital length of stay (HLOS), and cumulative charges related to inter-ICU transfer. RESULTS: Six-thousand seven-hundred eighteen patients with ARF underwent inter-ICU transfer, 68% of whom (n = 4,552) were transferred early (≤ 2 d). Propensity score matching yielded 3,774 well-matched patients for this study. Unadjusted outcomes were all superior in the early versus later transfer cohort: inhospital mortality (24.4% vs 36.1%; p < 0.0001), length of stay (8 vs 22 d; p < 0.0001), and cumulative charges ($118,686 vs $308,977; p < 0.0001). Through doubly robust multivariable modeling with random effects at the state level, we found patients who were transferred early had a 55.8% reduction in risk of inhospital mortality than those whose transfer was later (relative risk, 0.442; 95% CI, 0.403–0.497). Additionally, the early transfer cohort had lower HLOS (20.7 fewer days [13.0 vs 33.7; p < 0.0001]), and lower cumulative charges ($66,201 less [$192,182 vs $258,383; p < 0.0001]). CONCLUSIONS AND RELEVANCE: Our study is the first to use a large, multistate sample to evaluate the practice of inter-ICU transfers in ARF and also define early and later transfers. Our findings of favorable outcomes with early transfer are vital in designing future prospective studies evaluating evidence-based transfer procedures and policies.
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spelling pubmed-88933072022-03-07 The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One Nadig, Nandita R. Brinton, Daniel L. Simpson, Kit N. Goodwin, Andrew J. Simpson, Annie N. Ford, Dee W. Crit Care Explor Observational Study Approximately one in 30 patients with acute respiratory failure (ARF) undergoes an inter-ICU transfer. Our objectives are to describe inter-ICU transfer patterns and evaluate the impact of timing of transfer on patient-centered outcomes. DESIGN: Retrospective, quasi-experimental study. SETTING: We used the Healthcare Cost and Utilization Project State Inpatient Databases in five states (Florida, Maryland, Mississippi, New York, and Washington) during 2015–2017. PARTICIPANTS: We selected patients with International Classification of Diseases, 9th and 10th Revision codes of respiratory failure and mechanical ventilation who underwent an inter-ICU transfer (n = 6,718), grouping as early (≤ 2 d) and later transfers (3+ d). To control for potential selection bias, we propensity score matched patients (1:1) to model propensity for early transfer using a priori defined patient demographic, clinical, and hospital variables. MAIN OUTCOMES: Inhospital mortality, hospital length of stay (HLOS), and cumulative charges related to inter-ICU transfer. RESULTS: Six-thousand seven-hundred eighteen patients with ARF underwent inter-ICU transfer, 68% of whom (n = 4,552) were transferred early (≤ 2 d). Propensity score matching yielded 3,774 well-matched patients for this study. Unadjusted outcomes were all superior in the early versus later transfer cohort: inhospital mortality (24.4% vs 36.1%; p < 0.0001), length of stay (8 vs 22 d; p < 0.0001), and cumulative charges ($118,686 vs $308,977; p < 0.0001). Through doubly robust multivariable modeling with random effects at the state level, we found patients who were transferred early had a 55.8% reduction in risk of inhospital mortality than those whose transfer was later (relative risk, 0.442; 95% CI, 0.403–0.497). Additionally, the early transfer cohort had lower HLOS (20.7 fewer days [13.0 vs 33.7; p < 0.0001]), and lower cumulative charges ($66,201 less [$192,182 vs $258,383; p < 0.0001]). CONCLUSIONS AND RELEVANCE: Our study is the first to use a large, multistate sample to evaluate the practice of inter-ICU transfers in ARF and also define early and later transfers. Our findings of favorable outcomes with early transfer are vital in designing future prospective studies evaluating evidence-based transfer procedures and policies. Lippincott Williams & Wilkins 2022-03-01 /pmc/articles/PMC8893307/ /pubmed/35261978 http://dx.doi.org/10.1097/CCE.0000000000000642 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
Nadig, Nandita R.
Brinton, Daniel L.
Simpson, Kit N.
Goodwin, Andrew J.
Simpson, Annie N.
Ford, Dee W.
The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title_full The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title_fullStr The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title_full_unstemmed The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title_short The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One
title_sort impact of timing on clinical and economic outcomes during inter-icu transfer of acute respiratory failure patients: time and tide wait for no one
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893307/
https://www.ncbi.nlm.nih.gov/pubmed/35261978
http://dx.doi.org/10.1097/CCE.0000000000000642
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