Literature DB >> 15899112

Cardiovascular risk factors in primary care: methods and baseline prevalence rates--the DETECT program.

H-U Wittchen1, H Glaesmer, W März, G Stalla, H Lehnert, A M Zeiher, S Silber, U Koch, S Böhler, D Pittrow, G Ruf.   

Abstract

OBJECTIVES: DETECT is an epidemiological study in primary care to examine (a) the prevalence rates and comorbidity of diabetes mellitus, hypertension, hyperlipidaemia and coronary heart disease (CHD), and associated conditions; (b) the frequency of behavioural and clinical risk factors for onset and progression; (c) the 12-month course and outcome; and (d) the met and unmet needs for these patients.
METHODS: Three-stage, cross-sectional clinical-epidemiological study with a prospective-longitudinal component in a nationally representative sample of N = 3795 primary care settings [response rate (RR): 60.2%] and N = 55518 patients (RR: 95.5%). Patients completed a standardized assessment, including questionnaires for patients and the physician and diagnostic screening measures (i.e. blood pressure, heart rate, body mass index and waist circumference assessments). A subsample of patients (N = 7519) also completed a standardized laboratory screening program and was followed-up after 12 months. Data were weighted to adjust for non-response, regional distribution and attrition.
RESULTS: (1) Doctors and patients sample can be regarded as representative for primary care settings in Germany. (2) The clinician-rated point prevalence of hypertension is highest (35.5%), followed by hyperlipidaemia (29.1%), diabetes (14.1%) and CHD (12.1%); prevalence rates of each disorder as well as their co-incidence rates increase markedly with age. (3) The vast majority (78%) of all patients revealed multiple (3+) behavioural and clinical risk factors.
CONCLUSION: The findings of DETECT underline the considerable burden for primary care doctors in managing a highly morbid patient population, with predominantly complex risk factor constellations, in routine care. Our data provide, in unprecedented detail, a basis for calculating age-, gender- and risk-group-adjusted risk-factor profiles in routine care.

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Year:  2005        PMID: 15899112     DOI: 10.1185/030079905X38187

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  31 in total

1.  Inadequate medical treatment of patients with coronary artery disease by primary care physicians in Germany.

Authors:  B Bischoff; Sigmund Silber; B M Richartz; L Pieper; J Klotsche; H-U Wittchen
Journal:  Clin Res Cardiol       Date:  2006-07-03       Impact factor: 5.460

2.  Prognostic value of NT-pro-BNP and hs-CRP for risk stratification in primary care: results from the population-based DETECT study.

Authors:  David M Leistner; Jens Klotsche; Lars Pieper; Sylvia Palm; Günter K Stalla; Hendrik Lehnert; Sigmund Silber; Winfried März; Hans-Ulrich Wittchen; Andreas M Zeiher
Journal:  Clin Res Cardiol       Date:  2013-01-04       Impact factor: 5.460

3.  Incidence of myocardial infarction and stroke in acromegaly patients: results from the German Acromegaly Registry.

Authors:  Christof Schöfl; David Petroff; Anke Tönjes; Martin Grussendorf; Michael Droste; Günter Stalla; Cornelia Jaursch-Hancke; Sylvère Störmann; Jochen Schopohl
Journal:  Pituitary       Date:  2017-12       Impact factor: 4.107

4.  Expenditures of the German statutory health insurance system for patients suffering from acute coronary syndrome and treated with percutaneous coronary intervention.

Authors:  Heiko Friedel; Anne Delges; Johannes Clouth; Dana T Trautvetter
Journal:  Eur J Health Econ       Date:  2009-09-23

5.  Adverse anthropometric risk profile in biochemically controlled acromegalic patients: comparison with an age- and gender-matched primary care population.

Authors:  C Dimopoulou; C Sievers; H U Wittchen; L Pieper; J Klotsche; J Roemmler; J Schopohl; H J Schneider; G K Stalla
Journal:  Pituitary       Date:  2010-09       Impact factor: 4.107

6.  Diabetes treatment patterns and goal achievement in primary diabetes care (DiaRegis) - study protocol and patient characteristics at baseline.

Authors:  Peter Bramlage; Christiane Binz; Anselm K Gitt; Michael Krekler; Tanja Plate; Evelin Deeg; Diethelm Tschöpe
Journal:  Cardiovasc Diabetol       Date:  2010-09-16       Impact factor: 9.951

7.  The role of gender and anxiety in the association between somatic diseases and depression: findings from three combined epidemiological studies in primary care.

Authors:  E Asselmann; J Venz; L Pieper; H-U Wittchen; D Pittrow; K Beesdo-Baum
Journal:  Epidemiol Psychiatr Sci       Date:  2017-11-09       Impact factor: 6.892

8.  A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance.

Authors:  Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey
Journal:  Cell Metab       Date:  2009-04       Impact factor: 27.287

9.  Assessing the prevalence of the Metabolic Syndrome according to NCEP ATP III in Germany: feasibility and quality aspects of a two step approach in 1550 randomly selected primary health care practices.

Authors:  Susanne Moebus; Jens Ulrich Hanisch; Markus Neuhäuser; Pamela Aidelsburger; Jürgen Wasem; Karl-Heinz Jöckel
Journal:  Ger Med Sci       Date:  2006-10-09

10.  A novel nonparametric approach for estimating cut-offs in continuous risk indicators with application to diabetes epidemiology.

Authors:  Jens Klotsche; Dietmar Ferger; Lars Pieper; Jürgen Rehm; Hans-Ulrich Wittchen
Journal:  BMC Med Res Methodol       Date:  2009-09-10       Impact factor: 4.615

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