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DETECT-Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment

Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment (DETECT)

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01076608
Acronym
DETECT
Enrollment
55518
Registered
2010-02-26
Start date
2003-09-30
Completion date
2008-12-31
Last updated
2010-02-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Diseases

Keywords

primary care patients

Brief summary

Cardiovascular diseases are, along with cancer, the most frequent causes for mortality and morbidity in the industrialized nations. Numerous clinical efficient approaches to reduce the known risk factors have been introduced in clinical routine care; yet with quite limited success, e.g. modification of behavioral risk factors, drug treatment and the combination of both. On the population level only marginal changes have been demonstrated, i.e. the mortality from myocardial infarction and stroke remains high. To answer questions about underlying factors, for this unsatisfactory status, we might profit tremendously from studies that examine the situation, where treatment of patients most frequently take place: in primary care. This approach pays attention to the General Practitioner's (GP) in their gate keeping function in health care. Information from primary care in particular is largely lacking as recently stated by the Sachverständigenrat für die konzertierte Aktion im Gesundheitswesen in 2001. The DETECT study has been designed to address these critical issues. On 16th and 18th September 2003, 3,188 GPs completed a standardised assessment of the diagnostic and therapeutic profile of 55,518 unselected consecutive patients. All patients completed a questionnaire on their demographic data, their complaints, their illness history, their knowledge about selected diseases and their attitude towards those. A sub sample of 7,519 patients additionally attended a standardized laboratory screening program. In this screening the focus was on blood constituents connected with cardiovascular diseases and diabetes, including e. g. cholesterol, lipoproteins, triglycerides and HbA1c. These patients were assessed a second time in the follow up period after one year in 2004 and for a final time after completion of the five-year follow-up period.

Detailed description

What kind of information will DETECT provide? I. From the cross sectional part (descriptive epidemiological part on 16th/18th September 2003) * Frequency, characteristics and severity of cardiovascular diseases, selected associated metabolic syndromes and atherosclerotic diseases and syndromes * Identification and determination of the proportion of patients with high-risk constellations (e.g., post myocardial infarction, associated morbidities, laboratory measures) * Rates of General Practitioners recognition, diagnostic and therapeutic profiles * Assessment of quality of care (comparison with guidelines) * Indicators of undertreatment, overtreatment and inadequate treatment II. From the longitudinal part Changes of laboratory parameters and diagnoses after one and five years, in relation to: * Initial diagnostic and therapeutic status * Selected intervention criteria * Composition of risk indicators, and comparison with existing indices (PROCAM, Framingham, Score etc.) * Measurement of frequency and point of critical outcomes e.g., myocardial infarction, associated morbidity, hospitalisation, critical medical interventions * Significance of established and new cardiovascular risk factors * Prognostic value of biomarkers for risk stratification

Interventions

None listed

Sponsors

Johann Wolfgang Goethe University Hospital
CollaboratorOTHER
Max-Planck-Institute of Psychiatry
CollaboratorOTHER
University of Magdeburg
CollaboratorOTHER
Medical University of Graz
CollaboratorOTHER
Universitätsklinikum Hamburg-Eppendorf
CollaboratorOTHER
Technische Universität Dresden
Lead SponsorOTHER

Study design

Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* unselected primary care patients

Exclusion criteria

* none

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026