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Dive into the research topics where Hendrik van den Bussche is active.

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Featured researches published by Hendrik van den Bussche.


Nature Genetics | 2009

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease.

Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Singh Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes

We undertook a two-stage genome-wide association study (GWAS) of Alzheimers disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimers disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).


PLOS ONE | 2010

Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease.

Lesley Jones; Peter Holmans; Marian Lindsay Hamshere; Denise Harold; Valentina Moskvina; Dobril Ivanov; Andrew Pocklington; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Jaspreet Singh Pahwa; Nicola L. Jones; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd

Background Late Onset Alzheimers disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimers disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.


BMJ | 2005

Cholinesterase inhibitors for patients with Alzheimer's disease: systematic review of randomised clinical trials

Hanna Kaduszkiewicz; Thomas Zimmermann; Hans-Peter Beck-Bornholdt; Hendrik van den Bussche

Abstract Objectives Pharmacological treatment of Alzheimers disease focuses on correcting the cholinergic deficiency in the central nervous system with cholinesterase inhibitors. Three cholinesterase inhibitors are currently recommended: donepezil, rivastigmine, and galantamine. This review assessed the scientific evidence for the recommendation of these agents. Data sources The terms “donepezil”, “rivastigmine”, and “galantamine”, limited by “randomized-controlled-trials” were searched in Medline (1989-November 2004), Embase (1989-November 2004), and the Cochrane Database of Systematic Reviews without restriction for language. Study selection All published, double blind, randomised controlled trials examining efficacy on the basis of clinical outcomes, in which treatment with donepezil, rivastigmine, or galantamine was compared with placebo in patients with Alzheimers disease, were included. Each study was assessed independently, following a predefined checklist of criteria of methodological quality. Results 22 trials met the inclusion criteria. Follow-up ranged from six weeks to three years. 12 of 14 studies measuring the cognitive outcome by means of the 70 point Alzheimers disease assessment scale—cognitive subscale showed differences ranging from 1.5 points to 3.9 points in favour of the respective cholinesterase inhibitors. Benefits were also reported from all 12 trials that used the clinicians interview based impression of change scale with input from caregivers. Methodological assessment of all studies found considerable flaws—for example, multiple testing without correction for multiplicity or exclusion of patients after randomisation. Conclusion Because of flawed methods and small clinical benefits, the scientific basis for recommendations of cholinesterase inhibitors for the treatment of Alzheimers disease is questionable.


Archives of General Psychiatry | 2010

Prediction of Dementia by Subjective Memory Impairment Effects of Severity and Temporal Association With Cognitive Impairment

Frank Jessen; Birgitt Wiese; Cadja Bachmann; Sandra Eifflaender-Gorfer; Franziska Haller; Heike Kölsch; Tobias Luck; Edelgard Mösch; Hendrik van den Bussche; Michael Wagner; Anja Wollny; Thomas Zimmermann; Michael Pentzek; Steffi G. Riedel-Heller; Heinz-Peter Romberg; Siegfried Weyerer; Hanna Kaduszkiewicz; Wolfgang Maier; Horst Bickel

CONTEXT Subjective memory impairment (SMI) is receiving increasing attention as a pre-mild cognitive impairment (MCI) condition in the course of the clinical manifestation of Alzheimer disease (AD). OBJECTIVES To determine the risk for conversion to any dementia, dementia in AD, or vascular dementia by SMI, graded by the level of SMI-related worry and by the temporal association of SMI and subsequent MCI. DESIGN Longitudinal cohort study with follow-up examinations at 1(1/2) and 3 years after baseline. SETTING Primary care medical record registry sample. PARTICIPANTS A total of 2415 subjects without cognitive impairment 75 years or older in the German Study on Aging, Cognition and Dementia in Primary Care Patients. MAIN OUTCOME MEASURES Conversion to any dementia, dementia in AD, or vascular dementia at follow-up 1 or follow-up 2 predicted by SMI with or without worry at baseline and at follow-up 2 predicted by different courses of SMI at baseline and MCI at follow-up 1. RESULTS In the first analysis, SMI with worry at baseline was associated with greatest risk for conversion to any dementia (hazard ratio [HR], 3.53; 95% confidence interval [CI], 2.07-6.03) or dementia in AD (6.54; 2.82-15.20) at follow-up 1 or follow-up 2. The sensitivity was 69.0% and the specificity was 74.3% conversion to dementia in AD. In the second analysis, SMI at baseline and MCI at follow-up 1 were associated with greatest risk for conversion to any dementia (odds ratio [OR], 8.92; 95% CI, 3.69-21.60) or dementia in AD (19.33; 5.29-70.81) at follow-up 2. Furthermore, SMI at baseline and amnestic MCI at follow-up 1 increased the risk for conversion to any dementia (OR, 29.24; 95% CI, 8.75-97.78) or dementia in AD (60.28; 12.23-297.10), with a sensitivity of 66.7% and a specificity of 98.3% for conversion to dementia in AD. CONCLUSION The prediction of dementia in AD by SMI with subsequent amnestic MCI supports the model of a consecutive 3-stage clinical manifestation of AD from SMI via MCI to dementia.


BMC Public Health | 2011

Which chronic diseases and disease combinations are specific to multimorbidity in the elderly? Results of a claims data based cross-sectional study in Germany

Hendrik van den Bussche; Daniela Koller; Tina Kolonko; Heike Hansen; Karl Wegscheider; Gerd Glaeske; Eike-Christin von Leitner; Ingmar Schäfer; Gerhard Schön

BackgroundGrowing interest in multimorbidity is observable in industrialized countries. For Germany, the increasing attention still goes still hand in hand with a small number of studies on multimorbidity. The authors report the first results of a cross-sectional study on a large sample of policy holders (n = 123,224) of a statutory health insurance company operating nationwide. This is the first comprehensive study addressing multimorbidity on the basis of German claims data. The main research question was to find out which chronic diseases and disease combinations are specific to multimorbidity in the elderly.MethodsThe study is based on the claims data of all insured policy holders aged 65 and older (n = 123,224). Adjustment for age and gender was performed for the German population in 2004. A person was defined as multimorbid if she/he had at least 3 diagnoses out of a list of 46 chronic conditions in three or more quarters within the one-year observation period. Prevalences and risk-ratios were calculated for the multimorbid and non-multimorbid samples in order to identify diagnoses more specific to multimorbidity and to detect excess prevalences of multimorbidity patterns.Results62% of the sample was multimorbid. Women in general and patients receiving statutory nursing care due to disability are overrepresented in the multimorbid sample. Out of the possible 15,180 combinations of three chronic conditions, 15,024 (99%) were found in the database. Regardless of this wide variety of combinations, the most prevalent individual chronic conditions do also dominate the combinations: Triads of the six most prevalent individual chronic conditions (hypertension, lipid metabolism disorders, chronic low back pain, diabetes mellitus, osteoarthritis and chronic ischemic heart disease) span the disease spectrum of 42% of the multimorbid sample. Gender differences were minor. Observed-to-expected ratios were highest when purine/pyrimidine metabolism disorders/gout and osteoarthritis were part of the multimorbidity patterns.ConclusionsThe above list of dominating chronic conditions and their combinations could present a pragmatic start for the development of needed guidelines related to multimorbidity.


Alzheimers & Dementia | 2014

AD dementia risk in late MCI, in early MCI, and in subjective memory impairment

Frank Jessen; Steffen Wolfsgruber; Birgitt Wiese; Horst Bickel; Edelgard Mösch; Hanna Kaduszkiewicz; Michael Pentzek; Steffi G. Riedel-Heller; Tobias Luck; Angela Fuchs; Siegfried Weyerer; Jochen Werle; Hendrik van den Bussche; Martin Scherer; Wolfgang Maier; Michael Wagner

To compare the risk of developing Alzheimers disease (AD) dementia in late mild cognitive impairment (LMCI), early MCI (EMCI), and subjective memory impairment (SMI) with normal test performance.


BMC Health Services Research | 2012

The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. first results from the multicare cohort study

Ingmar Schäfer; Heike Hansen; Gerhard Schön; Susanne Höfels; Attila Altiner; Anne Dahlhaus; Jochen Gensichen; Steffi G. Riedel-Heller; Siegfried Weyerer; Wolfgang A. Blank; Hans-Helmut König; Olaf von dem Knesebeck; Karl Wegscheider; Martin Scherer; Hendrik van den Bussche; Birgitt Wiese

BackgroundMultimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.MethodsThe MultiCare Cohort Study is a multicentre, prospective, observational cohort study of 3.189 multimorbid patients aged 65+ randomly selected from 158 GP practices. Data were collected in GP interviews and comprehensive patient interviews. Missing values have been imputed by hot deck imputation based on Gower distance in morbidity and other variables. The association of patient characteristics with the number of chronic conditions is analysed by multilevel mixed-effects linear regression analyses.ResultsMultimorbidity in general is associated with age (+0.07 chronic conditions per year), gender (-0.27 conditions for female), education (-0.26 conditions for medium and -0.29 conditions for high level vs. low level) and income (-0.27 conditions per logarithmic unit). The pattern of cardiovascular and metabolic disorders shows comparable associations with a higher coefficient for gender (-1.29 conditions for female), while multimorbidity within the pattern of ADS and pain correlates with gender (+0.79 conditions for female), but not with age or socioeconomic status.ConclusionsOur study confirms that the morbidity load of multimorbid patients is associated with age, gender and the socioeconomic status of the patients, but there were no effects of living arrangements and marital status. We could also show that the influence of patient characteristics is dependent on the multimorbidity pattern concerned, i.e. there seem to be at least two types of elderly multimorbid patients. First, there are patients with mainly cardiovascular and metabolic disorders, who are more often male, have an older age and a lower socio-economic status. Second, there are patients mainly with ADS and pain-related morbidity, who are more often female and equally distributed across age and socio-economic groups.Trial registrationISRCTN89818205


Dementia and Geriatric Cognitive Disorders | 2007

Mild Cognitive Impairment in General Practice: Age-Specific Prevalence and Correlate Results from the German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe)

Tobias Luck; Steffi G. Riedel-Heller; Hanna Kaduszkiewicz; Horst Bickel; Frank Jessen; Michael Pentzek; Birgitt Wiese; Heike Koelsch; Hendrik van den Bussche; Heinz-Harald Abholz; Edelgard Moesch; Sandra Gorfer; Matthias C. Angermeyer; Wolfgang Maier; Siegfried Weyerer

Background: Although mild cognitive impairment (MCI) represents a high-risk factor for developing dementia, little is known about the prevalence of MCI among patients of general practitioners (GPs). Aims: Estimation of age-specific prevalence for original and modified concepts of MCI and their association with sociodemographic, medical and genetic (apoE Ε4 genotype) factors among patients of GPs. Methods: A GP practice sample of 3,327 individuals aged 75+ was assessed by structured clinical interviews. Results: Prevalence was 15.4% (95% CI = 14.1–16.6) for original and 25.2% (95% CI = 23.7–26.7) for modified MCI. Rates increased significantly with older age. Positive associations were found for apoE Ε4 allele, vascular diseases and depressive symptoms. Conclusion: MCI is frequent in elderly patients of GPs. GPs have a key position in secondary prevention and care of incipient cognitive deterioration up to the diagnosis of dementia.


BMC Family Practice | 2014

Self-rated health in multimorbid older general practice patients: a cross-sectional study in Germany

Anna Nützel; Anne Dahlhaus; Angela Fuchs; Jochen Gensichen; Hans-Helmut König; Steffi G. Riedel-Heller; Wolfgang Maier; Ingmar Schäfer; Gerhard Schön; Siegfried Weyerer; Birgitt Wiese; Martin Scherer; Hendrik van den Bussche; Horst Bickel

BackgroundWith increasing life expectancy the number of people affected by multimorbidity rises. Knowledge of factors associated with health-related quality of life in multimorbid people is scarce. We aimed to identify the factors that are associated with self-rated health (SRH) in aged multimorbid primary care patients.MethodsCross-sectional study with 3,189 multimorbid primary care patients aged from 65 to 85 years recruited in 158 general practices in 8 study centers in Germany. Information about morbidity, risk factors, resources, functional status and socio-economic data were collected in face-to-face interviews. Factors associated with SRH were identified by multivariable regression analyses.ResultsDepression, somatization, pain, limitations of instrumental activities (iADL), age, distress and Body Mass Index (BMI) were inversely related with SRH. Higher levels of physical activity, income and self-efficacy expectation had a positive association with SRH. The only chronic diseases remaining in the final model were Parkinson’s disease and neuropathies. The final model accounted for 35% variance of SRH. Separate analyses for men and women detected some similarities; however, gender specific variation existed for several factors.ConclusionIn multimorbid patients symptoms and consequences of diseases such as pain and activity limitations, as well as depression, seem to be far stronger associated with SRH than the diseases themselves. High income and self-efficacy expectation are independently associated with better SRH and high BMI and age with low SRH.Trial registrationMultiCare Cohort study registration:ISRCTN89818205.


BMC Medicine | 2014

The Ariadne principles: how to handle multimorbidity in primary care consultations

Christiane Muth; Marjan van den Akker; Jeanet W. Blom; Christian D. Mallen; Justine Rochon; F.G. Schellevis; Annette Becker; Martin Beyer; Jochen Gensichen; Hanna Kirchner; Rafael Perera; Alexandra Prados-Torres; Martin Scherer; Ulrich Thiem; Hendrik van den Bussche; Paul Glasziou

Multimorbidity is a health issue mostly dealt with in primary care practice. As a result of their generalist and patient-centered approach, long-lasting relationships with patients, and responsibility for continuity and coordination of care, family physicians are particularly well placed to manage patients with multimorbidity. However, conflicts arising from the application of multiple disease oriented guidelines and the burden of diseases and treatments often make consultations challenging. To provide orientation in decision making in multimorbidity during primary care consultations, we developed guiding principles and named them after the Greek mythological figure Ariadne. For this purpose, we convened a two-day expert workshop accompanied by an international symposium in October 2012 in Frankfurt, Germany. Against the background of the current state of knowledge presented and discussed at the symposium, 19 experts from North America, Europe, and Australia identified the key issues of concern in the management of multimorbidity in primary care in panel and small group sessions and agreed upon making use of formal and informal consensus methods. The proposed preliminary principles were refined during a multistage feedback process and discussed using a case example. The sharing of realistic treatment goals by physicians and patients is at the core of the Ariadne principles. These result from i) a thorough interaction assessment of the patient’s conditions, treatments, constitution, and context; ii) the prioritization of health problems that take into account the patient’s preferences – his or her most and least desired outcomes; and iii) individualized management realizes the best options of care in diagnostics, treatment, and prevention to achieve the goals. Goal attainment is followed-up in accordance with a re-assessment in planned visits. The occurrence of new or changed conditions, such as an increase in severity, or a changed context may trigger the (re-)start of the process. Further work is needed on the implementation of the formulated principles, but they were recognized and appreciated as important by family physicians and primary care researchers.Please see related article: http://www.biomedcentral.com/1741-7015/12/222.

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Birgitt Wiese

Leibniz University of Hanover

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Angela Fuchs

University of Düsseldorf

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