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ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients
BACKGROUND: Patients receiving intravenous thrombolysis (IVT) for acute ischemic stroke are at risk of developing complications, commonly necessitating admission to an intensive care unit (ICU). At present, most IVT is administered in the Emergency Department or in dedicated stroke units, but no evi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730614/ https://www.ncbi.nlm.nih.gov/pubmed/26818069 http://dx.doi.org/10.1186/s13054-016-1195-7 |
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author | Faigle, Roland Marsh, Elisabeth B. Llinas, Rafael H. Urrutia, Victor C. Gottesman, Rebecca F. |
author_facet | Faigle, Roland Marsh, Elisabeth B. Llinas, Rafael H. Urrutia, Victor C. Gottesman, Rebecca F. |
author_sort | Faigle, Roland |
collection | PubMed |
description | BACKGROUND: Patients receiving intravenous thrombolysis (IVT) for acute ischemic stroke are at risk of developing complications, commonly necessitating admission to an intensive care unit (ICU). At present, most IVT is administered in the Emergency Department or in dedicated stroke units, but no evidence-based criteria exist that allow for early identification of patients at increased risk of developing ICU needs. The present study describes a novel prediction score aiming to identify a subpopulation of post-IVT patients at high risk for critical care interventions. METHODS: We retrospectively analyzed data from 301 patients undergoing IVT at our institutions during a 5-year period. Two hundred and ninety patients met inclusion criteria. The sample was randomly divided into a development and a validation cohort. Logistic regression was used to develop a risk score by weighting predictors of critical care needs based on strength of association. RESULTS: Seventy-two patients (24.8 %) required critical care interventions. Black race (odds ratio [OR] 3.81, p =0.006), male sex (OR 3.79, p =0.008), systolic blood pressure (SBP; OR 1.45 per 10 mm Hg increase in SBP, p <0.001), and NIH stroke scale (NIHSS; OR 1.09 per 1 point increase in NIHSS, p =0.071) were independent predictors of critical care needs. The optimal model for score development, predicting critical care needs, achieved an AUC of 0.782 in the validation group. The score was named the ICAT (Intensive Care After Thrombolysis) score, assigning the following points: black race (1 point), male sex (1 point), SBP (2 points if 160–200 mm Hg; 4 points if >200 mm Hg), and NIHSS (1 point if 7–12; 2 points if >12). Each 1-point increase in the score was associated with 2.22-fold increased odds for critical care needs (95 % CI 1.78–2.76, p <0.001). A score ≥2 was associated with over 13 times higher odds of critical care needs compared to a score <2 (OR 13.60, 95 % CI 3.23–57.19), predicting critical care with 97.2 % sensitivity and 28.0 % specificity. CONCLUSION: The ICAT score, combining information about race, sex, SBP, and NIHSS, predicts critical care needs in post-IVT patients and may be helpful when triaging post-IVT patients to the appropriate monitoring environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-016-1195-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4730614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47306142016-01-29 ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients Faigle, Roland Marsh, Elisabeth B. Llinas, Rafael H. Urrutia, Victor C. Gottesman, Rebecca F. Crit Care Research BACKGROUND: Patients receiving intravenous thrombolysis (IVT) for acute ischemic stroke are at risk of developing complications, commonly necessitating admission to an intensive care unit (ICU). At present, most IVT is administered in the Emergency Department or in dedicated stroke units, but no evidence-based criteria exist that allow for early identification of patients at increased risk of developing ICU needs. The present study describes a novel prediction score aiming to identify a subpopulation of post-IVT patients at high risk for critical care interventions. METHODS: We retrospectively analyzed data from 301 patients undergoing IVT at our institutions during a 5-year period. Two hundred and ninety patients met inclusion criteria. The sample was randomly divided into a development and a validation cohort. Logistic regression was used to develop a risk score by weighting predictors of critical care needs based on strength of association. RESULTS: Seventy-two patients (24.8 %) required critical care interventions. Black race (odds ratio [OR] 3.81, p =0.006), male sex (OR 3.79, p =0.008), systolic blood pressure (SBP; OR 1.45 per 10 mm Hg increase in SBP, p <0.001), and NIH stroke scale (NIHSS; OR 1.09 per 1 point increase in NIHSS, p =0.071) were independent predictors of critical care needs. The optimal model for score development, predicting critical care needs, achieved an AUC of 0.782 in the validation group. The score was named the ICAT (Intensive Care After Thrombolysis) score, assigning the following points: black race (1 point), male sex (1 point), SBP (2 points if 160–200 mm Hg; 4 points if >200 mm Hg), and NIHSS (1 point if 7–12; 2 points if >12). Each 1-point increase in the score was associated with 2.22-fold increased odds for critical care needs (95 % CI 1.78–2.76, p <0.001). A score ≥2 was associated with over 13 times higher odds of critical care needs compared to a score <2 (OR 13.60, 95 % CI 3.23–57.19), predicting critical care with 97.2 % sensitivity and 28.0 % specificity. CONCLUSION: The ICAT score, combining information about race, sex, SBP, and NIHSS, predicts critical care needs in post-IVT patients and may be helpful when triaging post-IVT patients to the appropriate monitoring environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-016-1195-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-28 /pmc/articles/PMC4730614/ /pubmed/26818069 http://dx.doi.org/10.1186/s13054-016-1195-7 Text en © Faigle et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Faigle, Roland Marsh, Elisabeth B. Llinas, Rafael H. Urrutia, Victor C. Gottesman, Rebecca F. ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title | ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title_full | ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title_fullStr | ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title_full_unstemmed | ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title_short | ICAT: a simple score predicting critical care needs after thrombolysis in stroke patients |
title_sort | icat: a simple score predicting critical care needs after thrombolysis in stroke patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730614/ https://www.ncbi.nlm.nih.gov/pubmed/26818069 http://dx.doi.org/10.1186/s13054-016-1195-7 |
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