Predicting 10-year stroke mortality: development and validation of a nomogram.
Authors
Pana, Tiberiu A
Mamas, Mamas A
Bettencourt-Silva, Joao H
Metcalf, Anthony K
Potter, John F
McLernon, David J
Publication Date
2022-06Journal Title
Acta Neurol Belg
ISSN
0300-9009
Publisher
Springer Science and Business Media LLC
Volume
122
Issue
3
Pages
685-693
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Szlachetka, W. A., Pana, T. A., Mamas, M. A., Bettencourt-Silva, J. H., Metcalf, A. K., Potter, J. F., McLernon, D. J., & et al. (2022). Predicting 10-year stroke mortality: development and validation of a nomogram.. Acta Neurol Belg, 122 (3), 685-693. https://doi.org/10.1007/s13760-021-01752-9
Abstract
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.
Keywords
Cerebrovascular disease, Ischaemic stroke, Long-term mortality, Prediction score, Prognosis, Aged, Aged, 80 and over, Atrial Fibrillation, Brain Ischemia, Cohort Studies, Coronary Disease, Female, Heart Failure, Humans, Hypertension, Ischemic Stroke, Male, Nomograms, Peripheral Vascular Diseases, Pulmonary Disease, Chronic Obstructive, Risk Factors, Stroke
Sponsorship
Medical Research Scotland (VAC-1424-2019)
Identifiers
s13760-021-01752-9, 1752
External DOI: https://doi.org/10.1007/s13760-021-01752-9
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337833
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk