Literature DB >> 22973950

Risk of cardiovascular events and death in the life after aneurysmal subarachnoid haemorrhage: a nationwide study.

Dennis J Nieuwkamp1, Ilonca Vaartjes, Ale Algra, Gabriel J E Rinkel, Michiel L Bots.   

Abstract

BACKGROUND AND AIM: The increased mortality rates of survivors of aneurysmal subarachnoid haemorrhage have been attributed to an increased risk of cardiovascular events in a registry study in Sweden. Swedish registries have however not been validated for subarachnoid haemorrhage and Scandinavian incidences of cardiovascular disease differ from that in Western European countries. We assessed risks of vascular disease and death in subarachnoid haemorrhage survivors in the Netherlands.
METHODS: From the Dutch hospital discharge register, we identified all patients with subarachnoid haemorrhage admission between 1997 and 2008. We determined the accuracy of coding of the diagnosis subarachnoid haemorrhage for patients admitted to our centre. Conditional on survival of three-months after the subarachnoid haemorrhage, we calculated standardized incidence and mortality ratios for fatal or nonfatal vascular diseases, vascular death, and all-cause death. Cumulative risks were estimated with survival analysis.
RESULTS: The diagnosis of nontraumatic subarachnoid haemorrhage was correct in 95·4% of 1472 patients. Of 11,263 admitted subarachnoid haemorrhage patients, 6999 survived more than three-months. During follow-up (mean 5·1 years), 874 (12·5%) died. The risks of death were 3·3% within one-year, 11·3% within five-years, and 21·5% within 10 years. The standardized mortality ratio was 3·4 (95% confidence interval: 3·1 to 3·7) for vascular death and 2·2 (95% confidence interval: 2·1 to 2·3) for all-cause death. The standardized incidence ratio for fatal or nonfatal vascular diseases was 2·7 (95% confidence interval: 2·6 to 2·8).
CONCLUSIONS: Dutch hospital discharge and cause of death registries are a valid source of data for subarachnoid haemorrhage, and show that the increased mortality rate in subarachnoid haemorrhage survivors is explained by increased risks for vascular diseases and death.
© 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.

Entities:  

Keywords:  cardiovascular disease; cerebrovascular disease; prognosis; registry; stroke

Mesh:

Year:  2012        PMID: 22973950     DOI: 10.1111/j.1747-4949.2012.00875.x

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  6 in total

1.  Long-term outcome after aneurysmal subarachnoid hemorrhage-risks of vascular events, death from cancer and all-cause death.

Authors:  Dennis J Nieuwkamp; Arno de Wilde; Marieke J H Wermer; Ale Algra; Gabriël J E Rinkel
Journal:  J Neurol       Date:  2013-11-26       Impact factor: 4.849

2.  Epilepsy-associated long-term mortality after aneurysmal subarachnoid hemorrhage.

Authors:  Jukka Huttunen; Antti Lindgren; Mitja I Kurki; Terhi Huttunen; Juhana Frösen; Timo Koivisto; Mikael von Und Zu Fraunberg; Arto Immonen; Juha E Jääskeläinen; Reetta Kälviäinen
Journal:  Neurology       Date:  2017-06-14       Impact factor: 9.910

3.  Mortality after hospital admission for heart failure: improvement over time, equally strong in women as in men.

Authors:  J Buddeke; G B Valstar; I van Dis; F L J Visseren; F H Rutten; H M den Ruijter; I Vaartjes; M L Bots
Journal:  BMC Public Health       Date:  2020-01-10       Impact factor: 3.295

4.  Diagnostic value of a ghrelin test for the diagnosis of GH deficiency after subarachnoid hemorrhage.

Authors:  K Blijdorp; L Khajeh; G M Ribbers; E M Sneekes; M H Heijenbrok-Kal; H J G van den Berg-Emons; A J van der Lely; F van Kooten; S J C M M Neggers
Journal:  Eur J Endocrinol       Date:  2013-09-14       Impact factor: 6.664

Review 5.  Validity of Acute Cardiovascular Outcome Diagnoses Recorded in European Electronic Health Records: A Systematic Review.

Authors:  Jennifer Davidson; Amitava Banerjee; Rutendo Muzambi; Liam Smeeth; Charlotte Warren-Gash
Journal:  Clin Epidemiol       Date:  2020-10-14       Impact factor: 4.790

6.  A prediction model for one- and three-year mortality in dementia: results from a nationwide hospital-based cohort of 50,993 patients in the Netherlands.

Authors:  Irene E van de Vorst; Nienke M S Golüke; Ilonca Vaartjes; Michiel L Bots; Huiberdina L Koek
Journal:  Age Ageing       Date:  2020-04-27       Impact factor: 10.668

  6 in total

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