Long-term vascular events after subarachnoid hemorrhage
Background Spontaneous subarachnoid hemorrhage (SAH) long-term risk is not well known. Our aims are: describing long-term vascular event (VE) incidence rates in SAH survivors; describing VE: ischemic and/or hemorrhagic; identifying independent association of factors related to VE; and analyzing the...
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Veröffentlicht in: | Journal of neurology 2022-11, Vol.269 (11), p.6036-6042 |
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Sprache: | eng |
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Zusammenfassung: | Background
Spontaneous subarachnoid hemorrhage (SAH) long-term risk is not well known. Our aims are: describing long-term vascular event (VE) incidence rates in SAH survivors; describing VE: ischemic and/or hemorrhagic; identifying independent association of factors related to VE; and analyzing the usefulness of factors to increase predictive ability.
Methods
A prospective cohort study of consecutive patients admitted to Hospital del Mar with a diagnosis of SAH (
n
= 566) between January 2007 and January 2020 was carried out. They were followed up until January 2021. The study endpoint was a new VE in the follow-up. We calculated both incidence rates and cumulative rates at 5 years. Cox regression survival models including vascular risk factors with and without specific data of SAH disease were developed. We analyzed ROC curves of all multivariate models.
Results
The analyzed cohort included 423 non-fatal SAH cases. Total patient-years were 2468.16 years. The average follow-up was 70.03 ± 43.14; range: 1–180 months. There were 49 VE detected in 47 patients, as 2 of them had more than 1 VE. Incidence rate was 0.020 events_per_patient/year, cumulative incidence at 5 years was 11.11%. The more frequent VE that we found were cerebrovascular (28/49), mainly ischemic (21/28). Disability after SAH and the presence of multiple aneurysms were independently associated with a VE risk and improved the predictive capacity of multivariate models (AUC 0.679 vs 0.764;
p
= 0.0062).
Conclusions
We reported a low vascular risk after SAH. We have shown the usefulness of SAH factors to identify patients with a higher risk of VE. |
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ISSN: | 0340-5354 1432-1459 1432-1459 |
DOI: | 10.1007/s00415-022-11255-z |