Published September 15, 2020 | Version v1
Journal article Open

Diabetes is associated with familial idiopathic normal pressure hydrocephalus: a case–control comparison with family members

  • 1. Department of Neurosurgery, Kuopio University Hospital, P.O.Box 100, 70029, Kuopio, KYS, Finland
  • 2. Department of Neurosurgery, University of Helsinki, Helsinki, Finland
  • 3. Clinical Neurosciences, Department of Neurosurgery, University of Turku, Turku, Finland
  • 4. Department of Neurosurgery, Tampere University Hospital, Tampere, Finland
  • 5. Unit of Clinical Neuroscience, Neurosurgery, University of Oulu and Medical Research Center, Oulu University Hospital, Oulu, Finland
  • 6. National Institute for Health and Welfare, Helsinki, Finland
  • 7. Institute of Clinical Medicine–Neurology, University of Eastern Finland, Kuopio, Finland
  • 8. Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
  • 9. Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
  • 10. Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, USA

Description

Background: The pathophysiological basis of idiopathic normal pressure hydrocephalus (iNPH) is still unclear. Previous studies have shown a familial aggregation and a potential heritability when it comes to iNPH. Our aim was to conduct a novel case-controlled comparison between familial iNPH (fNPH) patients and their elderly relatives, involving multiple different families.

Methods: Questionnaires and phone interviews were used for collecting the data and categorising the iNPH patients into the familial (fNPH) and the sporadic groups. Identical questionnaires were sent to the relatives of the potential fNPH patients. Venous blood samples were collected for genetic studies. The disease histories of the probable fNPH patients (n = 60) were compared with their ≥ 60-year-old relatives with no iNPH (n = 49). A modified Charlson Comorbidity Index (CCI) was used to measure the overall disease burden. Fisher's exact test (two-tailed), the Mann–Whitney U test (two-tailed) and a multivariate binary logistic regression analysis were used to perform the statistical analyses.

Results: Diabetes (32% vs. 14%, p = 0.043), arterial hypertension (65.0% vs. 43%, p = 0.033), cardiac insufficiency (16% vs. 2%, p = 0.020) and depressive symptoms (32% vs. 8%, p = 0.004) were overrepresented among the probable fNPH patients compared to their non-iNPH relatives. In the age-adjusted multivariate logistic regression analysis, diabetes remained independently associated with fNPH (OR = 3.8, 95% CI 1.1–12.9, p = 0.030).

Conclusions: Diabetes is associated with fNPH and a possible risk factor for fNPH. Diabetes could contribute to the pathogenesis of iNPH/fNPH, which motivates to further prospective and gene-environmental studies to decipher the disease modelling of iNPH/fNPH.

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