Factors associated with potentially serious incidental findings and with serious final diagnoses on multi-modal imaging in the UK Biobank Imaging Study: A prospective cohort study

Autor: Nicholas C. Harvey, Nicola Doherty, Lorna Gibson, Steve Garratt, Naomi E. Allen, Thomas J. Littlejohns, Cathie Sudlow, Joanna M. Wardlaw, John Nolan, Caroline A. Jackson, Steffen E. Petersen, Jonathan Sellors, Edouard Mathieu
Rok vydání: 2019
Předmět:
Male
Pediatrics
Physiology
Epidemiology
Disease
Multimodal Imaging
Body Mass Index
Diagnostic Radiology
0302 clinical medicine
Risk Factors
Medicine and Health Sciences
Public and Occupational Health
Prospective Studies
Medical Personnel
030212 general & internal medicine
Medical diagnosis
Prospective cohort study
Biological Specimen Banks
2. Zero hunger
Incidental Findings
Alcohol Consumption
Multidisciplinary
Radiology and Imaging
Smoking
Middle Aged
Magnetic Resonance Imaging
Biobank
3. Good health
Professions
Physiological Parameters
Cohort
Medicine
Female
Research Article
Adult
medicine.medical_specialty
Alcohol Drinking
Imaging Techniques
Science
Research and Analysis Methods
Ethnic Epidemiology
03 medical and health sciences
Diagnostic Medicine
Radiologists
medicine
Humans
Exercise
Life Style
Nutrition
business.industry
Body Weight
Biology and Life Sciences
Physical Activity
United Kingdom
Confidence interval
Diet
Health Care
People and Places
Population Groupings
Health Statistics
Morbidity
business
Body mass index
030217 neurology & neurosurgery
Zdroj: Sudlow, C, Gibson, L, Nolan, J, Littlejohns, T J, Mathieu, E, Garratt, S, Doherty, N, Petersen, S E, Harvey, N C W, Sellors, J, Allen, N E, Wardlaw, J & Jackson, C 2019, ' Factors associated with potentially serious incidental findings and with serious final diagnoses on multi-modal imaging in the UK Biobank Imaging Study: a prospective cohort study ', PLoS ONE, vol. 16, no. 6, e0218267 . https://doi.org/10.1371/journal.pone.0218267
PLoS ONE
PLoS ONE, Vol 14, Iss 6, p e0218267 (2019)
ISSN: 1932-6203
Popis: Background Feedback of potentially serious incidental findings (PSIFs) to imaging research participants generates clinical assessment in most cases. Understanding the factors associated with increased risks of PSIFs and of serious final diagnoses may influence individuals’ decisions to participate in imaging research and will inform the design of PSIFs protocols for future research studies. We aimed to determine whether, and to what extent, socio-demographic, lifestyle, other health-related factors and PSIFs protocol are associated with detection of both a PSIF and a final diagnosis of serious disease. Methods and findings Our cohort consisted of all UK Biobank participants who underwent imaging up to December 2015 (n = 7334, median age 63, 51.9% women). Brain, cardiac and body magnetic resonance, and dual-energy x-ray absorptiometry images from the first 1000 participants were reviewed systematically by radiologists for PSIFs. Thereafter, radiographers flagged concerning images for radiologists’ review. We classified final diagnoses as serious or not using data from participant surveys and clinical correspondence from GPs up to six months following imaging (either participant or GP correspondence, or both, were available for 93% of participants with PSIFs). We used binomial logistic regression models to investigate associations between age, sex, ethnicity, socio-economic deprivation, private healthcare use, alcohol intake, diet, physical activity, smoking, body mass index and morbidity, with both PSIFs and serious final diagnoses. Systematic radiologist review generated 13 times more PSIFs than radiographer flagging (179/1000 [17.9%] versus 104/6334 [1.6%]; age- and sex-adjusted OR 13.3 [95% confidence interval (CI) 10.3–17.1] p Conclusion Risks of PSIFs and serious final diagnosis are substantially influenced by PSIFs protocol and to a lesser extent by age. As only 1/5 PSIFs represent serious disease, evidence-based PSIFs protocols are paramount to minimise over-investigation of healthy research participants and diversion of limited health services away from patients in need.
Databáze: OpenAIRE