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Dr Antonio Lazzarino
Appointment
  • Research Fellow in Epidemiology/Statistics
  • Division of Psychiatry
  • Faculty of Brain Sciences
Biography
Antonio is a clinician and an epidemiologist working within the UCL Department of Primary Care and Population Health and with the UCL Division of Psychiatry.

He trained and specialised in Epidemiology, Neuroendocrinology, and in Public Health Medicine. Before moving to UCL, he lectured and carried out clinical and public health research at Imperial College London, at the London School of Hygiene & Tropical Medicine, and at King’s College London. As an advocate of independent research, he is the founder of EPISTATA – Agency for Clinical Research and Medical Statistics.

Antonio’s research interests cover several themes:

Clinical research

Psychosomatic Medicine: Antonio studies the neuroendocrine and neuroimmune dysfunctions triggered by mental stress. Those alterations may lead to cardiovascular disease, cancer, autoimmune disease, and other conditions that can be acute or chronic, communicable or non-communicable.

Biomarkers: Antonio studies the mediators of the mind-body relationship. These include endothelial, haemostatic, inflammatory, hormonal, and immune factors.

Risk assessment: Antonio studies cardiovascular risk assessment using high-sensitivity cardiac troponins.

Randomised controlled trials: Antonio was involved in the the study design, data analysis, and result interpretation of clinical trials in various clinical specialties, e.g. Infectious diseases, Neurosurgery, Nephrology, Psychopharmacology, Otolaryngology, and others.

Public Health research

Antonio makes the use of ‘big data’ and of routinely-collected electronic health records for studying:

  • Health inequalities
  • The effect of socioeconomic conditions on health
  • Hospital quality indicators
  • Hospital quality real-time monitoring 
  • Patient safety indicators
  • Health system performance evaluation 
  • Health care quality evaluation (appropriateness) 
  • Health technology assessment
  • Risk stratification after surgery

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