Cardiovascular Disease in Patients With Diabetes: The Silesia Diabetes-Heart Project

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

4000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-01-01

Study Completion Date

2026-01-31

Brief Summary

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The project is an observational one which undertakes different, easy to obtain in everyday clinical practice, demographical, laboratory and clinical parameters of patients with diabetes in Silesian Region in Poland to predict cardiovascular disease, cardiovascular events and neuropathy using machine learning approach.

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Detailed Description

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The study is a prospective, observational one in which it is planned to obtain demographical, laboratory and clinical parameters of patients who are hospitalized in one the the main diabetology sites in Silesia region in Poland and to follow them prospectively for 10 years in order to collect information related to new cardiovascular events. Telephone contact will be performed every 12 months following hospital discharge. Any procedures related to the patients hospitalized in the diabetology ward will be the routine ones and the bioethics committee of Medical University of Silesia gave the permission for the study but waved the necessity of informed consent to be signed.Moreover there will be subgroup analysis of patients recruited from the outpatient diabetology clinics in Silesia region in order to participate in the observational study collecting data related to to vitamin D concentration, densitometry, fibroscan, carotid ultrasound examination, vascular stiffness, electrocardiography, peripheral and cardiovascular autonomic neuropathy and fundus imaging. Patients who are treated in outpatient diabetology clinics in Silesia region and are included into the study must have the informed consent signed and bioethics committee agreement has been obtained.

Machine learning approach will be implemented to discover the association between easy to obtain in everyday practice parameters, namely clinical, biochemical, and demographical ones to identify patients at the highest risk of cardiovascular disease.

The secondary aim of the study is to utilize fundus imaging, electrocardiography, alongside demographic and clinical data in order to potentially diagnose neuropathy.

Conditions

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Diabetes Mellitus

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* For the group of hospitalized patients: diabetes type 1 or type 2
* For the subgroup of patients treated in outpatient diabetology clinics in Silesia region: diabetes type 1 or type 2

Exclusion Criteria

1. For the group of hospitalized patients:

* Types of diabetes other than type 1 and type 2 diabetes
* Death during hospital stay
* Terminal stage of cancer.
2. For the subgroup of patients recruited form outpatient diabetology clinics:

* Lack of an informed consent
* Types of diabetes other than type 1 and type 2 diabetes
* Malignant neoplasms
* Terminal stage of neoplasm
* End-stage renal disease
* Malabsorption syndrome
* Active infection
* Primary hyperparathyroidism

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No