A proposal of new diagnostic pathway for fatal familial insomnia

A Krasnianski1, P Sanchez Juan, Claudia Ponto

  • 1Clinical Dementia Center and National Reference Center for TSE at Department of Neurology Georg-August University, , Göttingen, Germany.

Abstract

Insights

Diagnosing fatal familial insomnia (FFI) is challenging without family history. A new diagnostic pathway, combining sleep disturbances with neurological signs, aids early identification of FFI patients for genetic testing.

Area of Science:

  • Neuroscience
  • Genetics
  • Sleep Medicine

Background:

  • Fatal familial insomnia (FFI) diagnosis is difficult due to atypical presentations and low test sensitivity, often preventing suspicion of prion disease.
  • FFI patients frequently do not meet Creutzfeldt-Jakob disease (CJD) diagnostic criteria, complicating early identification.

Purpose of the Study:

  • To propose an updated diagnostic pathway for identifying patients for D178-M129 mutation analysis.
  • To improve the clinical diagnosis of fatal familial insomnia.

Main Methods:

  • Analysis of clinical data from 41 German FFI patients.
  • Evaluation of symptoms, MRI, PET, SPECT, polysomnography, EEG, and CSF biomarkers.
  • Development and testing of a diagnostic algorithm using clinical and polysomnography data.

Main Results:

  • An algorithm was developed that identified at least 81% of FFI patients in early disease stages.
  • The algorithm combines organic sleep disturbances (clinical or polysomnography-verified) with vegetative and focal neurological signs.
  • Algorithm specificity was validated against sporadic CJD and other neurodegenerative disease cohorts.

Conclusions:

  • The proposed diagnostic scheme can enhance clinical FFI diagnosis.
  • Polysomnography demonstrates higher sensitivity compared to other investigated diagnostic tests in FFI.
  • Thorough clinical investigation is crucial for accurate FFI diagnosis due to the low sensitivity of most diagnostic tests.

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