Survey of the Relationship Between Metabolic Syndrome and Myocardial Infarction in Hospitals of Urmia University of Medical Sciences
Bibliographic record
Abstract
BACKGROUND & AIM: The aim of this study was to determine the relationship between metabolic syndrome and myocardial infarction in patients admitted to the hospitals of Urmia University of medical sciences. METHODS: A case-control study population consisted of 172 patients with heart failure who were admitted to Seyedolshohada Hospital. In this method, the researchers present in the units and along with demographic questionnaire of patients, laboratory results needed for the survey (fasting blood glucose, triglycerides and HDL) with waist circumference size, blood pressure, height and weight were examined. Data after collection were analyzed using SPSS statistical software. RESULTS: In this study of 172 patients with myocardial infarction, 56 patients (38.4%) patients were females and 112 (17.9%) were males. 1.2% of the patients were single, 84.8% were married, 0.6 were divorced and 13.5% were widowed, 116 patients (67.4%) with features of metabolic syndrome and 56 patients (32.6%) were lacking. In this study, females with myocardial infarction had more metabolic syndrome than males and in people whom relatives have a history of heart disease and also people who are overweight as well as obesity and also have features of metabolic syndrome and mean profiles of HDL, LDL, BMI, fasting blood glucose, triglyceride and waist circumference in males compared to males is higher. However, history of smoking, average number of cigarettes used per day, height and weight of males is higher than females. Other findings indicate a significant relationship between age and sex and having or not having a family history of heart failure, having or not having history of certain drugs and BMI of patient with metabolic syndrome. But a significant relationship was not found between the marital status, education, residence, income, previous history of heart disease, PCI, LDL, history of drug use, type of infarction, the extent of ejection and location with syndrome patients. In terms of survival, because none of the subjects in the study period had expired, this extent was not quantifiable. CONCLUSION: Considering the high prevalence of this disorder in Iran and that the high incidence of serious effects imposes on the health care system and that these disorders are somewhat flexible, effort towards lifestyle changes particularly healthy diets, physical activity, weight management and blood pressure, especially in women should be considered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".