Neurodegenerative Diseases

Original Paper

Parkinson's Disease Case Ascertainment in the EPIC Cohort: The NeuroEPIC4PD Study

Gallo V.1, 2 · Brayne C.3 · Forsgren L.4 · Barker R.A.5 · Petersson J.6 · Hansson O.6 · Lindqvist D.6 · Ruffmann C.7, 8 · Ishihara L.9 · Luben R.10 · Arriola L.11,12,15 · Bergareche A.12,13 · Gavrila D.14,15 · Erro M.E.16 · Vanacore N.17 · Sacerdote C.18,19 · Bueno-de-Mesquita B.1,20,21,33 · Vermeulen R.22,23 · Seelen M.24 · Sieri S.25 · Masala G.26 · Ramat S.27 · Kyrozis A.28,29 · Thricopolou A.28 · Panico S.30 · Mattiello A.30 · Kaaks R.31 · Teucher B.31 · Katzke V.31 · Kloss M.32 · Curry L.8 · Calboli F.8 · Riboli E.1 · Vineis P.1 · Middleton L.8

Author affiliations

1School of Public Health, Imperial College London, and 2Centre of Primary Care and Public Health, Queen Mary University of London, London, and 3University of Cambridge, Cambridge, UK; 4Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden; 5Department of Neurology, University of Cambridge, Cambridge, UK; 6Department of Clinical Sciences, Lund University, Lund, Sweden; 7Parkinson Institute, Istituti Clinici di Perfezionamento, Milan, Italy; 8Neuroepidemiology and Ageing Unit, School of Public Health, Imperial College London, London, 9Department of World Wide Epidemiology, GlaxoSmithKline, Uxbridge, and 10Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; 11Public Health Department of Gipuzkoa, Basque Government, San Sebastian, 12Biodonostia Research Institute, Neurosciences Area, Hospital Universitario Donostia, Donostia, 13Centro de investigación biomédica en Red para enfermedades Neurodegenerativas (CIBERNED), Carlos III Health Institute, Madrid, 14Department of Epidemiology, Murcia Regional Health Council, Murcia, 15CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, and 16Neurology Department, Complejo Hospitalario de Navarra, Pamplona, Spain; 17Italian National Institute of Health, Rome, and 18Centre for Cancer Prevention (CPO-Piemonte), and 19Human Genetic Foundation (HuGeF), Turin, Italy; 20National Institute for Public Health and the Environment, Bilthoven, and 21Department of Gastroenterology and Hepatology and 22Julius Centre for Public Health Sciences and Primary Care, University Medical Centre, 23Institute for Risk Assessment Science, Division of Epidemiology, Utrecht University, and 24Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; 25Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, and 26Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute ISPO, and 27Neuroscience Department, Careggi Hospital, Florence, Italy; 28Hellenic Health Foundation, and 29First Department of Neurology, University of Athens, Athens, Greece; 30Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy; 31Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), and 32Department of Neurology, University of Heidelberg, Heidelberg, Germany; 33Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

Keywords: Parkinson’s diseaseValidationEPIC studyIncidenceCohort studyCase ascertainmentRecord linkage

Related Articles for ""
Neurodegener Dis 2015;15:331-338
https://doi.org/10.1159/000381857

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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: January 23, 2015
Accepted: March 19, 2015
Published online: September 17, 2015
Issue release date: November 2015

Number of Print Pages: 8
Number of Figures: 3
Number of Tables: 2

ISSN: 1660-2854 (Print)
eISSN: 1660-2862 (Online)

For additional information: https://www.karger.com/NDD

Abstract

Background/Aims: Large epidemiological prospective studies represent an important opportunity for investigating risk factors for rare diseases such as Parkinson's disease (PD). Here we describe the procedures we used for ascertaining PD cases in the EPIC (European Prospective Investigation into Cancer and Nutrition) study. Methods: The following three-phase procedure was used: (1) elaboration of a NeuroEPIC4PD template for clinical data collection, (2) identification of all potential PD cases via record linkage and (3) validation of the diagnosis through clinical record revision, in a population of 220,494 subjects recruited in 7 European countries. All cases were labelled with the NeuroEPIC4PD diagnoses of ‘definite', ‘very likely', ‘probable', or ‘possible' PD. Results: A total of 881 PD cases were identified, with over 2,741,780 person-years of follow-up (199 definite, 275 very likely, 146 probable, and 261 possible). Of these, 734 were incident cases. The mean age at diagnosis was 67.9 years (SD 9.2) and 458 patients (52.0%) were men. Bradykinesia was the most frequent presenting motor sign (76.5%). Tremor-dominant and akinetic rigid forms of PD were the most common types of PD. A total of 289 patients (32.8%) were dead at the time of the last follow-up. Conclusions: This exercise proved that it is feasible to ascertain PD in large population-based cohort studies and offers a potential framework to be replicated in similar studies.

© 2015 S. Karger AG, Basel



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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: January 23, 2015
Accepted: March 19, 2015
Published online: September 17, 2015
Issue release date: November 2015

Number of Print Pages: 8
Number of Figures: 3
Number of Tables: 2

ISSN: 1660-2854 (Print)
eISSN: 1660-2862 (Online)

For additional information: https://www.karger.com/NDD

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2015, Vol.15, No. 6

November 2015

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