The impact of previous health on the mortality after aneurysmal subarachnoid hemorrhage : analysis of a prospective Swedish multicenter study
(2023) In Acta Neurochirurgica 165(2). p.443-449- Abstract
Purpose: There is an an increasing awareness of the importance of health and lifestyle for stroke diseases like spontaneous subarachnoid hemorrhage (SAH). However, the importance of pre-existing medical conditions for clinical course and mortality after SAH has not been studied. The aim of the present study was to identify pre-existing conditions contributing to mortality after SAH. Methods: Data were extracted from a Swedish national prospective study on patients with SAH. Variables were defined for age, sex, body mass index (BMI), clinical condition at admission, and for 10 pre-existing medical conditions. Models predicting mortality in three time intervals with all possible subsets of these variables were generated, compared and... (More)
Purpose: There is an an increasing awareness of the importance of health and lifestyle for stroke diseases like spontaneous subarachnoid hemorrhage (SAH). However, the importance of pre-existing medical conditions for clinical course and mortality after SAH has not been studied. The aim of the present study was to identify pre-existing conditions contributing to mortality after SAH. Methods: Data were extracted from a Swedish national prospective study on patients with SAH. Variables were defined for age, sex, body mass index (BMI), clinical condition at admission, and for 10 pre-existing medical conditions. Models predicting mortality in three time intervals with all possible subsets of these variables were generated, compared and selected using Akaike’s information criterion. Results: 1155 patients with ruptured aneurysms were included. The mortality within 1 week was 7.6%, 1 month 14.3%, and 1 year 18.7%. The most common pre-existing medical conditions were smoking (57.6%) and hypertension (38.7%). The model’s best predicting mortality within 1 week and from 1 week to 1 month included only the level of consciousness at admission and age, and these two variables were present in all the models among the top 200 in Akaike score for each time period. The most predictive model for mortality between 1 month and 1 year added previous stroke, diabetes, psychiatric disease, and BMI as predictors. Conclusion: Mortality within the first month was best predicted simply by initial level of consciousness and age, while mortality within from 1 month to 1 year was significantly influenced by pre-existing medical conditions.
(Less)
- author
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Medical conditions, Mortality, National prospective study, Previous health, Spontaneous subarachnoid hemorrhage
- in
- Acta Neurochirurgica
- volume
- 165
- issue
- 2
- pages
- 7 pages
- publisher
- Springer
- external identifiers
-
- scopus:85146244317
- pmid:36633685
- ISSN
- 0001-6268
- DOI
- 10.1007/s00701-022-05464-8
- language
- English
- LU publication?
- yes
- id
- 51b48247-e42b-48f5-94ff-1667ff9a52a2
- date added to LUP
- 2023-02-17 11:27:43
- date last changed
- 2024-06-10 23:57:28
@article{51b48247-e42b-48f5-94ff-1667ff9a52a2,
abstract = {{<p>Purpose: There is an an increasing awareness of the importance of health and lifestyle for stroke diseases like spontaneous subarachnoid hemorrhage (SAH). However, the importance of pre-existing medical conditions for clinical course and mortality after SAH has not been studied. The aim of the present study was to identify pre-existing conditions contributing to mortality after SAH. Methods: Data were extracted from a Swedish national prospective study on patients with SAH. Variables were defined for age, sex, body mass index (BMI), clinical condition at admission, and for 10 pre-existing medical conditions. Models predicting mortality in three time intervals with all possible subsets of these variables were generated, compared and selected using Akaike’s information criterion. Results: 1155 patients with ruptured aneurysms were included. The mortality within 1 week was 7.6%, 1 month 14.3%, and 1 year 18.7%. The most common pre-existing medical conditions were smoking (57.6%) and hypertension (38.7%). The model’s best predicting mortality within 1 week and from 1 week to 1 month included only the level of consciousness at admission and age, and these two variables were present in all the models among the top 200 in Akaike score for each time period. The most predictive model for mortality between 1 month and 1 year added previous stroke, diabetes, psychiatric disease, and BMI as predictors. Conclusion: Mortality within the first month was best predicted simply by initial level of consciousness and age, while mortality within from 1 month to 1 year was significantly influenced by pre-existing medical conditions.</p>}},
author = {{Ronne Engström, Elisabeth and Baldvinsdóttir, Bryndís and Aineskog, Helena and Alpkvist, Peter and Enblad, Per and Eneling, Johanna and Fridriksson, Steen and Hillman, Jan and Klurfan, Paula and Kronvall, Erik and Lindvall, Peter and Von Vogelsang, Ann Christin and Nilsson, Ola G. and Svensson, Mikael}},
issn = {{0001-6268}},
keywords = {{Medical conditions; Mortality; National prospective study; Previous health; Spontaneous subarachnoid hemorrhage}},
language = {{eng}},
number = {{2}},
pages = {{443--449}},
publisher = {{Springer}},
series = {{Acta Neurochirurgica}},
title = {{The impact of previous health on the mortality after aneurysmal subarachnoid hemorrhage : analysis of a prospective Swedish multicenter study}},
url = {{http://dx.doi.org/10.1007/s00701-022-05464-8}},
doi = {{10.1007/s00701-022-05464-8}},
volume = {{165}},
year = {{2023}},
}