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A (2) DS (2) Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
Background Stroke-associated pneumonia (SAP) is an important cause of poststroke morbidity and mortality. Several clinical risk scores predict the risk of SAP. In this study, we used the A (2) DS (2) score (age, atrial fibrillation, dysphagia, sex, and stroke severity) to assess the risk of SAP in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779542/ https://www.ncbi.nlm.nih.gov/pubmed/31595119 http://dx.doi.org/10.1055/s-0039-1697893 |
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author | Vyas, Limesh Kulshreshtha, Dinkar Maurya, Pradeep Singh, Ajai Qavi, Abdul Thacker, Anup |
author_facet | Vyas, Limesh Kulshreshtha, Dinkar Maurya, Pradeep Singh, Ajai Qavi, Abdul Thacker, Anup |
author_sort | Vyas, Limesh |
collection | PubMed |
description | Background Stroke-associated pneumonia (SAP) is an important cause of poststroke morbidity and mortality. Several clinical risk scores predict the risk of SAP. In this study, we used the A (2) DS (2) score (age, atrial fibrillation, dysphagia, sex, and stroke severity) to assess the risk of SAP in patients admitted with acute stroke. Methods A high (5–10) and a low (0–4) A (2) DS (2) score was assigned to patients with acute stroke admitted to the neurology ward. Univariate binary logistic regression analysis was performed to find the strength of association of SAP and A (2) DS (2) score. Results There were 250 patients with acute stroke of which 46 developed SAP. Forty-four patients developed SAP in high score as against 2 in low-score group (odds ratio [OR] = 0.03, 95% confidence interval [CI] = 0.01–0.15, p = 0.0001). A (2) DS (2) score >5 had sensitivity of 82.6% and specificity of 65.1% to predict SAP. The mean A (2) DS (2) score in patients with pneumonia was 7.02 ± 1.40 compared to 4.75 ± 1.92 in patients without pneumonia ( p = 0.0001). Conclusions A (2) DS (2) score has a high sensitivity of 82% in predicting the risk of SAP and is a useful tool to monitor patients after acute stroke. A (2) DS (2) score can help in timely detection and prevention of SAP and reduction in caregiver’s burden. |
format | Online Article Text |
id | pubmed-6779542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Thieme Medical and Scientific Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-67795422019-10-08 A (2) DS (2) Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective Vyas, Limesh Kulshreshtha, Dinkar Maurya, Pradeep Singh, Ajai Qavi, Abdul Thacker, Anup J Neurosci Rural Pract Background Stroke-associated pneumonia (SAP) is an important cause of poststroke morbidity and mortality. Several clinical risk scores predict the risk of SAP. In this study, we used the A (2) DS (2) score (age, atrial fibrillation, dysphagia, sex, and stroke severity) to assess the risk of SAP in patients admitted with acute stroke. Methods A high (5–10) and a low (0–4) A (2) DS (2) score was assigned to patients with acute stroke admitted to the neurology ward. Univariate binary logistic regression analysis was performed to find the strength of association of SAP and A (2) DS (2) score. Results There were 250 patients with acute stroke of which 46 developed SAP. Forty-four patients developed SAP in high score as against 2 in low-score group (odds ratio [OR] = 0.03, 95% confidence interval [CI] = 0.01–0.15, p = 0.0001). A (2) DS (2) score >5 had sensitivity of 82.6% and specificity of 65.1% to predict SAP. The mean A (2) DS (2) score in patients with pneumonia was 7.02 ± 1.40 compared to 4.75 ± 1.92 in patients without pneumonia ( p = 0.0001). Conclusions A (2) DS (2) score has a high sensitivity of 82% in predicting the risk of SAP and is a useful tool to monitor patients after acute stroke. A (2) DS (2) score can help in timely detection and prevention of SAP and reduction in caregiver’s burden. Thieme Medical and Scientific Publishers 2019-07 2019-09-16 /pmc/articles/PMC6779542/ /pubmed/31595119 http://dx.doi.org/10.1055/s-0039-1697893 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Vyas, Limesh Kulshreshtha, Dinkar Maurya, Pradeep Singh, Ajai Qavi, Abdul Thacker, Anup A (2) DS (2) Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective |
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Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
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title_full |
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(2)
DS
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Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
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title_fullStr |
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(2)
Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
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title_full_unstemmed |
A
(2)
DS
(2)
Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
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title_short |
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DS
(2)
Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective
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title_sort | a
(2)
ds
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score to predict the risk of stroke-associated pneumonia in acute stroke: an indian perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779542/ https://www.ncbi.nlm.nih.gov/pubmed/31595119 http://dx.doi.org/10.1055/s-0039-1697893 |
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