Dorothea Nitsch MD MSc

Lecturer (Clinical)

Dorothea graduated in Medicine at the University of Basel (Switzerland) and did her Doctoral Thesis there at the Biocenter. She worked several years in Internal Medicine and Renal Medicine in Switzerland up to specialist level. She obtained an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine in 2003 and joined directly afterwards.

Affiliation

Teaching

She is the course co-director of the MSc in Epidemiology and helps tutoring in the MSc Medical Statistics.

Research

Dorothea's research focuses on risk factors and outcomes of chronic kidney disease.

She has an interest in statistical issues in genetic and life-course epidemiology of chronic kidney disease. In collaboration with the MRC 1946 cohort study (principal investigator: Professor Diana Kuh) she is currently exploring whether there are important life-course risk factors for chronic kidney disease in the UK general population. In collaboration with Professor Astrid Fletcher (LSHTM) and Professor Paul Roderick (University of Southampton) she investigates outcomes of older people with chronic kidney disease using data from the MRC at Older Age study. The study also contributes data to the Chronic Kidney disease Prognosis Consortium (CKD PC) in which Dorothea is involved in analyses comparing outcomes of men and women who have CKD. Dorothea collaborates with clinicians who are based at the UCL centre of Nephrology at the Royal Free Hospital, and with the UK Renal Registry to investigate outcomes of people on dialysis and transplantion.

Research areas

  • Ageing

Disciplines

  • Epidemiology
  • Genetic epidemiology
  • Life-course epidemiology
  • Medicine
  • Statistics

Disease and Health Conditions

  • Cardiovascular disease
  • Chronic disease
  • Eye diseases
  • Kidney disease

Regions

  • Euro area
  • North America
  • South Asia
  • Sub-Saharan Africa (all income levels)

Other interests

  • Causal Inference
  • Chronic kidney disease
  • Epidemiological Methods
  • MARCH
  • clinical epidemiology
Back to top