Epidemiologist/Health services researcher and NIHR Doctoral Research Fellow
Kate is an Epidemiologist/Health Services Researcher at the National Perinatal Epidemiology Unit (NPEU) and was awarded a National Institute for Health Research (NIHR) Doctoral Research Fellowship in 2016 to undertake a DPhil at the University of Oxford. Her DPhil is investigating the short and longer-term outcomes for women and their children according to intended mode of delivery after previous caesarean section using a number of linked Scottish National datasets. She is also the lead investigator for a Wellbeing of Women funded study that is using the International Network of Obstetric Survey Systems to investigate the risk factors, management and associated outcomes of Amniotic Fluid Embolism (AFE), a rare pregnancy complication that remains one of the leading causes of direct maternal mortality in high income countries.
Kate has over nine year of experience working in research at both the University of Oxford and the London School of Hygiene and Tropical Medicine (LSHTM). She has mainly been involved in studies examining life-threatening complications in pregnancy and childbirth. She has a degree in Biological Sciences from the University of Oxford and a Masters in Epidemiology from the LSHTM.
Pregnancy at very advanced maternal age: a UK population-based cohort study.
Fitzpatrick KE. et al, (2017), Bjog, 124, 1097 - 1106
Beyond maternal death: improving the quality of maternal care through national studies of 'near-miss' maternal morbidity
Knight M. et al, (2016)
Incidence, risk factors, management and outcomes of amniotic-fluid embolism: a population-based cohort and nested case-control study.
Fitzpatrick KE. et al, (2016), Bjog, 123, 100 - 109
Women's Longitudinal Patterns of Smoking during the Pre-Conception, Pregnancy and Postnatal Period: Evidence from the UK Infant Feeding Survey.
Fitzpatrick KE. et al, (2016), Plos one, 11
A novel locus of resistance to severe malaria in a region of ancient balancing selection.
Malaria Genomic Epidemiology Network None. et al, (2015), Nature, 526, 253 - 257