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Predicting 10-year stroke mortality: development and validation of a nomogram
Predicting long-term stroke mortality is a clinically important and unmet need. We aimed to develop and internally validate a 10-year ischaemic stroke mortality prediction score. In this UK cohort study, 10,366 patients with first-ever ischaemic stroke between January 2003 and December 2016 were fol...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170668/ https://www.ncbi.nlm.nih.gov/pubmed/34406610 http://dx.doi.org/10.1007/s13760-021-01752-9 |
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author | Szlachetka, Weronika A. Pana, Tiberiu A. Mamas, Mamas A. Bettencourt-Silva, Joao H. Metcalf, Anthony K. Potter, John F. McLernon, David J. Myint, Phyo K. |
author_facet | Szlachetka, Weronika A. Pana, Tiberiu A. Mamas, Mamas A. Bettencourt-Silva, Joao H. Metcalf, Anthony K. Potter, John F. McLernon, David J. Myint, Phyo K. |
author_sort | Szlachetka, Weronika A. |
collection | PubMed |
description | Predicting long-term stroke mortality is a clinically important and unmet need. We aimed to develop and internally validate a 10-year ischaemic stroke mortality prediction score. In this UK cohort study, 10,366 patients with first-ever ischaemic stroke between January 2003 and December 2016 were followed up for a median (interquartile range) of 5.47 (2.96–9.15) years. A Cox proportional-hazards model was used to predict 10-year post-admission mortality. The predictors associated with 10-year mortality included age, sex, Oxfordshire Community Stroke Project classification, estimated glomerular filtration rate (eGFR), pre-stroke modified Rankin Score, admission haemoglobin, sodium, white blood cell count and comorbidities (atrial fibrillation, coronary heart disease, heart failure, cancer, hypertension, chronic obstructive pulmonary disease, liver disease and peripheral vascular disease). The model was internally validated using bootstrap resampling to assess optimism in discrimination and calibration. A nomogram was created to facilitate application of the score at the point of care. Mean age (SD) was 78.5 ± 10.9 years, 52% female. Most strokes were partial anterior circulation syndromes (38%). 10-year mortality predictors were: total anterior circulation stroke (hazard ratio, 95% confidence intervals) (2.87, 2.62–3.14), eGFR < 15 (1.97, 1.55–2.52), 1-year increment in age (1.04, 1.04–1.05), liver disease (1.50, 1.20–1.87), peripheral vascular disease (1.39, 1.23–1.57), cancers (1.37, 1.27–1.47), heart failure (1.24, 1.15–1.34), 1-point increment in pre-stroke mRS (1.20, 1.17–1.22), atrial fibrillation (1.17, 1.10–1.24), coronary heart disease (1.09, 1.02–1.16), chronic obstructive pulmonary disease (1.13, 1.03–1.25) and hypertension (0.77, 0.72–0.82). Upon internal validation, the optimism-adjusted c-statistic was 0.76 and calibration slope was 0.98. Our 10-year mortality model uses routinely collected point-of-care information. It is the first 10-year mortality score in stroke. While the model was internally validated, further external validation is also warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13760-021-01752-9. |
format | Online Article Text |
id | pubmed-9170668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-91706682022-06-08 Predicting 10-year stroke mortality: development and validation of a nomogram Szlachetka, Weronika A. Pana, Tiberiu A. Mamas, Mamas A. Bettencourt-Silva, Joao H. Metcalf, Anthony K. Potter, John F. McLernon, David J. Myint, Phyo K. Acta Neurol Belg Original Article Predicting long-term stroke mortality is a clinically important and unmet need. We aimed to develop and internally validate a 10-year ischaemic stroke mortality prediction score. In this UK cohort study, 10,366 patients with first-ever ischaemic stroke between January 2003 and December 2016 were followed up for a median (interquartile range) of 5.47 (2.96–9.15) years. A Cox proportional-hazards model was used to predict 10-year post-admission mortality. The predictors associated with 10-year mortality included age, sex, Oxfordshire Community Stroke Project classification, estimated glomerular filtration rate (eGFR), pre-stroke modified Rankin Score, admission haemoglobin, sodium, white blood cell count and comorbidities (atrial fibrillation, coronary heart disease, heart failure, cancer, hypertension, chronic obstructive pulmonary disease, liver disease and peripheral vascular disease). The model was internally validated using bootstrap resampling to assess optimism in discrimination and calibration. A nomogram was created to facilitate application of the score at the point of care. Mean age (SD) was 78.5 ± 10.9 years, 52% female. Most strokes were partial anterior circulation syndromes (38%). 10-year mortality predictors were: total anterior circulation stroke (hazard ratio, 95% confidence intervals) (2.87, 2.62–3.14), eGFR < 15 (1.97, 1.55–2.52), 1-year increment in age (1.04, 1.04–1.05), liver disease (1.50, 1.20–1.87), peripheral vascular disease (1.39, 1.23–1.57), cancers (1.37, 1.27–1.47), heart failure (1.24, 1.15–1.34), 1-point increment in pre-stroke mRS (1.20, 1.17–1.22), atrial fibrillation (1.17, 1.10–1.24), coronary heart disease (1.09, 1.02–1.16), chronic obstructive pulmonary disease (1.13, 1.03–1.25) and hypertension (0.77, 0.72–0.82). Upon internal validation, the optimism-adjusted c-statistic was 0.76 and calibration slope was 0.98. Our 10-year mortality model uses routinely collected point-of-care information. It is the first 10-year mortality score in stroke. While the model was internally validated, further external validation is also warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13760-021-01752-9. Springer International Publishing 2021-08-18 2022 /pmc/articles/PMC9170668/ /pubmed/34406610 http://dx.doi.org/10.1007/s13760-021-01752-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Szlachetka, Weronika A. Pana, Tiberiu A. Mamas, Mamas A. Bettencourt-Silva, Joao H. Metcalf, Anthony K. Potter, John F. McLernon, David J. Myint, Phyo K. Predicting 10-year stroke mortality: development and validation of a nomogram |
title | Predicting 10-year stroke mortality: development and validation of a nomogram |
title_full | Predicting 10-year stroke mortality: development and validation of a nomogram |
title_fullStr | Predicting 10-year stroke mortality: development and validation of a nomogram |
title_full_unstemmed | Predicting 10-year stroke mortality: development and validation of a nomogram |
title_short | Predicting 10-year stroke mortality: development and validation of a nomogram |
title_sort | predicting 10-year stroke mortality: development and validation of a nomogram |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170668/ https://www.ncbi.nlm.nih.gov/pubmed/34406610 http://dx.doi.org/10.1007/s13760-021-01752-9 |
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