| Autor: |
Farzaneh Yazdi, Mohammad Hassan Baghaei, Amir Baniasad, Ahmad Naghibzadeh‐Tahami, Hamid Najafipour, Mohammad Hossein Gozashti |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Endocrinology, Diabetes & Metabolism, Vol 5, Iss 1, Pp n/a-n/a (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2398-9238 |
| DOI: |
10.1002/edm2.311 |
| Popis: |
Abstract Aims This study aimed to determine a parameter to more easily diagnose metabolic syndrome and predict its probability of occurrence in high‐risk individuals. Methods In this cross‐sectional study, data related to the study population in the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS) were examined. Subjects were divided into two groups with and without metabolic syndrome, and the relevant factors such as the ratios of uric acid to high‐density lipoprotein (HDL) (UHR) in these two groups were compared, and the best cut‐off point was determined. Results Data related to 817 people including 96 people with metabolic syndrome and 721 people without metabolic syndrome were analysed. The mean UHR was significantly higher in patients with metabolic syndrome (14.76 ± 6.33%) compared with those without metabolic syndrome (10.0 ± 3.10%) (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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