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Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry
Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN: Observational study (2008–2021). SETTING: Florida Stroke Registry (152 hospitals). PATIENTS: Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292735/ https://www.ncbi.nlm.nih.gov/pubmed/37378082 http://dx.doi.org/10.1097/CCE.0000000000000934 |
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author | Alkhachroum, Ayham Zhou, Lili Asdaghi, Negar Gardener, Hannah Ying, Hao Gutierrez, Carolina M. Manolovitz, Brian M. Samano, Daniel Bass, Danielle Foster, Dianne Sur, Nicole B. Rose, David Z. Jameson, Angus Massad, Nina Kottapally, Mohan Merenda, Amedeo Starke, Robert M. O’Phelan, Kristine Romano, Jose G. Claassen, Jan Sacco, Ralph L. Rundek, Tatjana |
author_facet | Alkhachroum, Ayham Zhou, Lili Asdaghi, Negar Gardener, Hannah Ying, Hao Gutierrez, Carolina M. Manolovitz, Brian M. Samano, Daniel Bass, Danielle Foster, Dianne Sur, Nicole B. Rose, David Z. Jameson, Angus Massad, Nina Kottapally, Mohan Merenda, Amedeo Starke, Robert M. O’Phelan, Kristine Romano, Jose G. Claassen, Jan Sacco, Ralph L. Rundek, Tatjana |
author_sort | Alkhachroum, Ayham |
collection | PubMed |
description | Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN: Observational study (2008–2021). SETTING: Florida Stroke Registry (152 hospitals). PATIENTS: Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Importance plots were performed to generate the most predictive factors of WLST. Area under the curve (AUC) for the receiver operating curve were generated for the performance of logistic regression (LR) and random forest (RF) models. Regression analysis was applied to evaluate temporal trends. Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST. Patients who had WLST were older (77 vs 70 yr), more women (57% vs 49%), White (76% vs 67%), with greater stroke severity on the National Institutes of Health Stroke Scale greater than or equal to 5 (29% vs 19%), more likely hospitalized in comprehensive stroke centers (52% vs 44%), had Medicare insurance (53% vs 44%), and more likely to have impaired level of consciousness (38% vs 12%). Most predictors associated with the decision to WLST in AIS were age, stroke severity, region, insurance status, center type, race, and level of consciousness (RF AUC of 0.93 and LR AUC of 0.85). Predictors in ICH included age, impaired level of consciousness, region, race, insurance status, center type, and prestroke ambulation status (RF AUC of 0.76 and LR AUC of 0.71). Factors in SAH included age, impaired level of consciousness, region, insurance status, race, and stroke center type (RF AUC of 0.82 and LR AUC of 0.72). Despite a decrease in the rates of early WLST (< 2 d) and mortality, the overall rates of WLST remained stable. CONCLUSIONS: In acute hospitalized stroke patients in Florida, factors other than brain injury alone contribute to the decision to WLST. Potential predictors not measured in this study include education, culture, faith and beliefs, and patient/family and physician preferences. The overall rates of WLST have not changed in the last 2 decades. |
format | Online Article Text |
id | pubmed-10292735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102927352023-06-27 Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry Alkhachroum, Ayham Zhou, Lili Asdaghi, Negar Gardener, Hannah Ying, Hao Gutierrez, Carolina M. Manolovitz, Brian M. Samano, Daniel Bass, Danielle Foster, Dianne Sur, Nicole B. Rose, David Z. Jameson, Angus Massad, Nina Kottapally, Mohan Merenda, Amedeo Starke, Robert M. O’Phelan, Kristine Romano, Jose G. Claassen, Jan Sacco, Ralph L. Rundek, Tatjana Crit Care Explor Observational Study Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN: Observational study (2008–2021). SETTING: Florida Stroke Registry (152 hospitals). PATIENTS: Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Importance plots were performed to generate the most predictive factors of WLST. Area under the curve (AUC) for the receiver operating curve were generated for the performance of logistic regression (LR) and random forest (RF) models. Regression analysis was applied to evaluate temporal trends. Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST. Patients who had WLST were older (77 vs 70 yr), more women (57% vs 49%), White (76% vs 67%), with greater stroke severity on the National Institutes of Health Stroke Scale greater than or equal to 5 (29% vs 19%), more likely hospitalized in comprehensive stroke centers (52% vs 44%), had Medicare insurance (53% vs 44%), and more likely to have impaired level of consciousness (38% vs 12%). Most predictors associated with the decision to WLST in AIS were age, stroke severity, region, insurance status, center type, race, and level of consciousness (RF AUC of 0.93 and LR AUC of 0.85). Predictors in ICH included age, impaired level of consciousness, region, race, insurance status, center type, and prestroke ambulation status (RF AUC of 0.76 and LR AUC of 0.71). Factors in SAH included age, impaired level of consciousness, region, insurance status, race, and stroke center type (RF AUC of 0.82 and LR AUC of 0.72). Despite a decrease in the rates of early WLST (< 2 d) and mortality, the overall rates of WLST remained stable. CONCLUSIONS: In acute hospitalized stroke patients in Florida, factors other than brain injury alone contribute to the decision to WLST. Potential predictors not measured in this study include education, culture, faith and beliefs, and patient/family and physician preferences. The overall rates of WLST have not changed in the last 2 decades. Lippincott Williams & Wilkins 2023-06-23 /pmc/articles/PMC10292735/ /pubmed/37378082 http://dx.doi.org/10.1097/CCE.0000000000000934 Text en Copyright © 2023 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 Alkhachroum, Ayham Zhou, Lili Asdaghi, Negar Gardener, Hannah Ying, Hao Gutierrez, Carolina M. Manolovitz, Brian M. Samano, Daniel Bass, Danielle Foster, Dianne Sur, Nicole B. Rose, David Z. Jameson, Angus Massad, Nina Kottapally, Mohan Merenda, Amedeo Starke, Robert M. O’Phelan, Kristine Romano, Jose G. Claassen, Jan Sacco, Ralph L. Rundek, Tatjana Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title | Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title_full | Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title_fullStr | Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title_full_unstemmed | Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title_short | Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry |
title_sort | predictors and temporal trends of withdrawal of life-sustaining therapy after acute stroke in the florida stroke registry |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292735/ https://www.ncbi.nlm.nih.gov/pubmed/37378082 http://dx.doi.org/10.1097/CCE.0000000000000934 |
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