Risk of subarachnoid haemorrhage according to number of affected relatives: a population based case-control study

Brain. 2008 Oct;131(Pt 10):2662-5. doi: 10.1093/brain/awn187. Epub 2008 Sep 26.

Abstract

Relatives of patients with aneurysmal subarachnoid haemorrhage (SAH) have an increased risk of this type of stroke. In a population-based study, we analysed individualized risks of SAH according to the number of affected first-degree relatives. We retrieved all patients diagnosed with SAH in 2001-05 from the Swedish Inpatient Register. For each of the 5,282 patients, we identified five controls (n = 26,402) through the nationwide Register of Total Population. Through the Multi-generation Register, we retrieved all first-degree relatives for patients and controls and checked whether these 130,373 relatives had been diagnosed with SAH. By means of conditional logistic regression, we calculated odds ratios with corresponding 95% confidence intervals (95% CI) for the risk of SAH according to the number of affected relatives, and to the gender, age and type of kinship of the patient and affected relative. The odds ratio of SAH for individuals with one affected first-degree relative was 2.15 (95% CI 1.77-2.59). For individuals with two affected first-degree relatives, the odds ratio was 51.0 (95% CI 8.56-1117). Gender, age and type of kinship did not influence the risk for individuals with one or more affected relatives. The risk of SAH is slightly increased in the cases with one, but strongly increased in cases with two or more affected first-degree relatives. The latter strongly increased risk corresponds to a considerable absolute life-time risk of SAH and underscores the need to consider screening for aneurysms in these individuals.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Case-Control Studies
  • Censuses
  • Confidence Intervals
  • Family*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Risk Assessment / methods
  • Sex Distribution
  • Subarachnoid Hemorrhage / genetics*
  • Sweden
  • Young Adult