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Chronoprognosis of Myocardial Infarction in Patients With Type 2 Diabetes Mellitus

U

University Medical Center, Kazakhstan

Status

Not yet enrolling

Conditions

Clinical Study

Treatments

Behavioral: personalized chronoprevention

Study type

Interventional

Funder types

Other

Identifiers

NCT05645419
AP19675001

Details and patient eligibility

About

Purpose: To develop a mathematical model for the occurrence of MI in patients with T2D by studying the relationship between the internal personalized biorhythms of the patients and the external transit rhythms of space objects; to develop and implement a personalized method of chrono-prevention of MI in patients with T2D.

Obejectives:

1.1 To investigate patterns of the influence of external transit rhythms of space objects on the occurrence of MI in patients with T2D: an observational study using clinical databases.

1.2 To investigate patterns of influence of cyclic activity of helio- and geophysical phenomena in the interplanetary medium on the occurrence of MI in patients with T2D.

  1. Develop a mathematical model for predicting the occurrence of MI in patients with T2D, based on the identification of the relationship patterns between the internal personalized biorhythms of these patients and the external transit rhythms of space objects.

  2. To investigate the effectiveness of the mathematical model for predicting the occurrence of MI in patients with T2D for the purpose of personalized chrono-prevention: a randomized clinical trial.

Full description

Participants and study design.

  1. Study of the influence of external transit rhythms of space objects, as well as the cyclic activity of helio- and geophysical phenomena in the interplanetary medium on the occurrence of MI in patients with T2D combining population based and clinical data.

    For a retrospective population study, all patients aged 30-65 years with T2D (MI+/-) from the republican database of the Ministry of Health of the Republic of Kazakhstan (MoH) over the past 10 years will be included.

    For a prospective population trial ≥150 patients aged 30-65 years with T2D (MI+/-) will be included.

  2. Mathematical and statistical analysis of the collected chrono-geo-biological and clinical data and data on the relationship between the internal personalized biorhythms of the patients and the external transit rhythms of space objects with the definition of "critical periods" as well as the cyclic activity of helio- and geophysical phenomena in the interplanetary medium. Study duration: 12-24 weeks.

  3. Study of the effectiveness of the developed mathematical model for predicting the occurrence of MI in patients with T2D in a pilot prospective randomized clinical trial (personalized chronoprophylaxis). The study will include at least 60 patients aged 30-65 years of both sexes with moderate T2D: 1) the main group (n≥30), where patients with T2D will additionally receive personalized chronoprevention intervention; 2) the control group (n≥30), where patients with T2D will only be under observation.

Enrollment

60 estimated patients

Sex

All

Ages

35 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • patients aged 30-65 years of both sexes
  • severe-to-moderate subcompensated stage of T2D without MI
  • decompensated stage of T2D without MI

Exclusion criteria

  • compensated stage of T2D without MI
  • patients with T2D and with MI

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

60 participants in 2 patient groups

personalized chronoprevention
Experimental group
Description:
the main group (n=30), where patients with T2D, in addition to their traditional prescriptions, will receive the intervention method of personalized chronoprevention
Treatment:
Behavioral: personalized chronoprevention
traditional prescriptions
No Intervention group
Description:
the control group (n=30), where patients with T2D will only be under observation in addition to their traditional prescriptions

Trial contacts and locations

1

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Central trial contact

Kuat P Oshakbayev, professor

Data sourced from clinicaltrials.gov

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