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SUMMARY:​Improving the identification of cardiometabolic risk in early p
 sychosis - Benjamin Perry (University of Cambridge)
DTSTART:20211208T170000Z
DTEND:20211208T180000Z
UID:TALK166582@talks.cam.ac.uk
CONTACT:Katharina Zuhlsdorff
DESCRIPTION:People with chronic schizophrenia die on average 10-15 years s
 ooner than the general population\, mostly due to physical comorbidity. Wh
 ile sociodemographic\, chronic lifestyle and iatrogenic factors are import
 ant contributors to this comorbidity\, a growing body of research is begin
 ning to suggest that early signs of cardiometabolic dysfunction may be pre
 sent from the onset of psychosis in some young adults\, and may even be de
 tectable before the onset of psychosis. Given that primary prevention is t
 he best means to prevent the onset of more chronic and severe cardiometabo
 lic phenotypes such as CVD\, there is clear need to be able to identify yo
 ung adults with psychosis who are most at risk of future adverse cardiomet
 abolic outcomes\, such that the most intensive interventions can be direct
 ed in an informed way to attenuate the risk or even prevent those adverse 
 outcomes from occurring. \n\nIn this talk\, Ben will first outline some re
 cent advances in our understanding of the association between cardiometabo
 lic and schizophrenia spectrum disorders. He will then introduce the field
  of cardiometabolic risk prediction\, and highlight how existing tools dev
 eloped for older general population adults are unlikely to be suitable for
  young people with psychosis. Finally\, he will discuss the current state 
 of play and the future of the Psychosis Metabolic Risk Calculator (PsyMetR
 iC)\, a novel clinically useful cardiometabolic risk prediction algorithm 
 tailored for young people with psychosis\, which has been developed and ex
 ternally validated using data from three psychosis early intervention serv
 ices in the UK.
LOCATION:Zoom
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