The study aimed to evaluate the association between the obesity grade and the age of the first acute coronary syndrome (ACS). The effect of cardiovascular (CV) risk factors and the age of first ACS in patients with severe obesity was also examined. Consecutive patients with diagnosis of first episode of ACS were prospectively enrolled in 2014 to 2024.Cardiovascular risks of patients will be determined according to clinical and laboratory evaluation and patients were categorized by their body mass indices (BMI). Independent variables that effected the age of first ACS were examined by linear regression analysis
In the first stage, the first ACS diagnosis of the patients will be tried to be clarified. It will be tried to clarify whether the patients have had ACS before, according to their history, ecg echo and coronary angiography findings. Patients with previous ACS or uncertain ACS diagnosis will not be included in the study. In the second stage, cardiovascular risk burdens of patients for whom the initial ACS diagnosis is clear will be revealed. Smoking, diabetes mellitus (DM), hypertension (HT), psychological stress, socio-economic status, migration history, cholesterol parameters will be determined. The duration and severity of these risk factors will be determined. In the final model, each risk factor will be examined in detail with its sub-tabs and the effect of each risk factor will be examined separately. Eventually, a model will be developed that allows predicting the first ACS age. The shortcomings of this model and the narrow scope of the definition of the population will be determined and the direction will be determined for the studies that improve these points.
Study Type
OBSERVATIONAL
Enrollment
2,000
Deniz Demirci
Antalya, Turkey (Türkiye)
RECRUITINGDetermining the effect of cardiovascular risk factors on the mean age of the first acute coronary syndrome
Detection of the effect of gender, smoking, obesity, diabetes, hypertension, psychological stress, socioeconomic status, migration, dyslipidemia on the age of first acute coronary syndrome episode.
Time frame: 10 years
Determining the effect of obesity on the mean age of the first acute coronary syndrome
Grouping will be made to obesity degree (Normal, overweight, obesity severe obesity). The first ACS average age of these groups will be compared. Risk factors affecting this average age will not be revealed by linear regression model.
Time frame: 6 years
Determining the effect of migration on the mean age of the first acute coronary syndrome.
Do the patients live in the city where they were born. It will be determined whether he migrated from another city. If there is a migration situation, the reasons will be determined. The migration direction will be determined according to the regions. The impact of migration and migration direction on the first ACS age will be determined.
Time frame: 6 years
Model for calculating the acute coronary syndrome age
Develop a model that calculates the estimated age of ACS on the basis of cardiovascular risk factors.
Time frame: 8 years
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