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Suspecting dementia: canaries, chameleons and zebras.
Johnson, Jeremy C S; McWhirter, Laura; Hardy, Chris J D; Crutch, Sebastian J; Marshall, Charles R; Mummery, Catherine J; Rohrer, Jonathan D; Rossor, Martin N; Schott, Jonathan M; Weil, Rimona S; Fox, Nick C; Warren, Jason D.
Affiliation
  • Johnson JCS; Dementia Research Centre, UCL, London, UK.
  • McWhirter L; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Hardy CJD; Dementia Research Centre, UCL, London, UK.
  • Crutch SJ; Dementia Research Centre, UCL, London, UK.
  • Marshall CR; Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, London, UK.
  • Mummery CJ; Department of Neurology, Royal London Hospital, London, UK.
  • Rohrer JD; Dementia Research Centre, UCL, London, UK.
  • Rossor MN; Dementia Research Centre, UCL, London, UK.
  • Schott JM; Dementia Research Centre, UCL, London, UK.
  • Weil RS; Dementia Research Centre, UCL, London, UK.
  • Fox NC; Dementia Research Centre, UCL, London, UK.
  • Warren JD; Dementia Research Centre, UCL, London, UK.
Pract Neurol ; 2021 Jul 02.
Article in En | MEDLINE | ID: mdl-34215701
ABSTRACT
The early and accurate diagnosis of dementia is more important than ever before but remains challenging. Dementia is increasingly the business of neurologists and, with ageing populations worldwide, will become even more so in future. Here we outline a practical, symptom-led, bedside approach to suspecting dementia and its likely diagnosis, inspired by clinical experience and based on recognition of characteristic syndromic patterns. We show how clinical intuition reflects underlying signature profiles of brain involvement by the diseases that cause dementia and suggest next steps that can be taken to define the diagnosis. We propose 'canaries' that provide an early warning signal of emerging dementia and highlight the 'chameleons' that disguise or mimic this, as well as the 'zebras' that herald a rare (and sometimes curable) diagnostic opportunity.
Key words

Full text: 1 Database: MEDLINE Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Language: En Year: 2021 Type: Article