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Träfflista för sökning "WFRF:(Magnusson Patrik K. E.) ;lar1:(miun)"

Sökning: WFRF:(Magnusson Patrik K. E.) > Mittuniversitetet

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1.
  • Sundström, Johan, Professor, 1971-, et al. (författare)
  • Risk factors for subarachnoid haemorrhage : a nationwide cohort of 950 000 adults
  • 2019
  • Ingår i: International Journal of Epidemiology. - : Oxford University Press. - 0300-5771 .- 1464-3685. ; 48:6, s. 2018-2025
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Subarachnoid haemorrhage (SAH) is a devastating disease, with high mortality rate and substantial disability among survivors. Its causes are poorly understood. We aimed to investigate risk factors for SAH using a novel nationwide cohort consortium.METHODS: We obtained individual participant data of 949 683 persons (330 334 women) between 25 and 90 years old, with no history of SAH at baseline, from 21 population-based cohorts. Outcomes were obtained from the Swedish Patient and Causes of Death Registries.RESULTS: During 13 704 959 person-years of follow-up, 2659 cases of first-ever fatal or non-fatal SAH occurred, with an age-standardized incidence rate of 9.0 [95% confidence interval (CI) (7.4-10.6)/100 000 person-years] in men and 13.8 [(11.4-16.2)/100 000 person-years] in women. The incidence rate increased exponentially with higher age. In multivariable-adjusted Poisson models, marked sex interactions for current smoking and body mass index (BMI) were observed. Current smoking conferred a rate ratio (RR) of 2.24 (95% CI 1.95-2.57) in women and 1.62 (1.47-1.79) in men. One standard deviation higher BMI was associated with an RR of 0.86 (0.81-0.92) in women and 1.02 (0.96-1.08) in men. Higher blood pressure and lower education level were also associated with higher risk of SAH.CONCLUSIONS: The risk of SAH is 45% higher in women than in men, with substantial sex differences in risk factor strengths. In particular, a markedly stronger adverse effect of smoking in women may motivate targeted public health initiatives.
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2.
  • Tabrizi, Fara, et al. (författare)
  • P117. Predicting Genetic Risk for Depression and Anxiety Disorders
  • 2022
  • Ingår i: Biological Psychiatry. - : Elsevier BV. - 0006-3223 .- 1873-2402. ; 91
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundPolygenic scores (PGSs) harness the potential to provide an overall measure of individuals’ genetic liability to develop a disease (Torkamani et al., 2018), though much research is still needed. The aim of the present study was to predict prescription of pharmacological treatment of anxiety or depression from PGSs.MethodsThe target sample comprised two cohorts of genotyped Swedish twins (n = 11037). Cases were defined as individuals prescribed pharmacological treatment of depression (n = 1129) or anxiety (n = 1446). We constructed 6 PGSs based on GWAS on MDD diagnosis, Anxiety, Schizophrenia, Neuroticism scores, the GAD-7 scale, and the PHQ-9. Data were analyzed by logistic regression models with change in pseudo-R2 (above the baseline model with sex, age, cohort, and 20 ancestral PCs) following the inclusion of PGSs to predict the risk of anxiety or depression medication. All results corrected for multiple comparisons.ResultsPredictive performance was estimated to ΔR2depression = 0.028; ΔR2anxiety = 0.025 when all PGSs were included in the same model, with PGS for MDD being the single best predictor for both anxiety and depression. Individuals in the top 10% of the PGS distribution had greater odds of drug prescription (ORdepression = 1.82; CI95% = 1.53—2.17; ORanxiety = 1.65; CI95% = 1.40—1.95), while the bottom 10% had decreased risk (ORanxiety = 0.56; CI95% = 0.45—0.70; ORdepression = 0.58; CI95% = 0.45—0.74) compared to the remaining 90% of the distribution.ConclusionsPGSs can predict drug prescription for anxiety and depression in an independent sample.
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