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The Association of the Metabolic Score for Insulin Resistance (METS-IR) with Prehypertension in Normoglycemic
Methaq H Alogaili1, Afnan A Alsallami2
1Deptartment of Family and Community Medicine, College of Medicine, Al-Nahrain University, Baghdad, Iraq.
Background:
Insulin resistance is a critical first step in the development of many chronic diseases such as diabetes, hypertension, and coronary artery disease (CAD). Early recognition of changes in insulin sensitivity and subsequent glycolipid dysregulation is paramount in reversing the progression of these diseases. Since the prevalence of insulin resistance is relatively high, there is a demand for a simple, easy, and inexpensive method for its detection.
Objectives:
To assess the association of metabolic score for insulin resistance (METS-IR) with prehypertension (preHTN) in normoglycemic individuals.
Methods:
A cross-sectional study included two groups with normal blood glucose levels (age and sex matched, 179 adults each) with and without preHTN. Those with a history of hypertension, diabetes, CAD, or on chronic drug treatment were excluded from the study. Metabolic score for insulin resistance was calculated as Ln [(2 × FPG (mg/dL) + fasting TG (mg/dL)] × BMI (kg/m²)/Ln [HDL-c (mg/dL)].
Results:
The METS-IR score was significantly higher in those with preHTN (P < 0.001). One-way ANOVA showed significant differences in BMI, TG, and HDL-c according to METS-IR quartiles. Cox regression analysis showed that METS-IR is a single independent predictor of preHTN (OR = 1.3, 95% CI 1.20, 1.34).
Conclusions:
Metabolic score for insulin resistance is significantly associated with and an independent predictor of prehypertension in euglycemic people.
Insights
The metabolic score for insulin resistance (METS-IR) is a significant predictor of prehypertension in individuals with normal blood glucose. This simple score can help identify those at risk for developing high blood pressure.
Area of Science:
- Metabolic health and cardiovascular disease risk assessment.
- Endocrinology and metabolic syndrome research.
- Public health and preventative medicine strategies.
Background:
- Insulin resistance is a key factor in chronic diseases like diabetes and hypertension.
- Early detection of insulin resistance is crucial for disease prevention.
- A simple, inexpensive method for detecting insulin resistance is needed.
Purpose of the Study:
- To evaluate the association between the metabolic score for insulin resistance (METS-IR) and prehypertension in individuals with normal blood glucose.
- To determine if METS-IR can predict the development of prehypertension.
Main Methods:
- A cross-sectional study compared 179 normoglycemic adults with prehypertension to 179 age- and sex-matched controls without prehypertension.
- Individuals with a history of hypertension, diabetes, CAD, or on chronic medication were excluded.
- METS-IR was calculated using fasting plasma glucose, fasting triglycerides, BMI, and HDL-c.
Main Results:
- The METS-IR score was significantly higher in the prehypertension group (P < 0.001).
- BMI, triglycerides, and HDL-c showed significant differences across METS-IR quartiles.
- METS-IR independently predicted prehypertension (OR = 1.3, 95% CI 1.20–1.34).
Conclusions:
- The metabolic score for insulin resistance (METS-IR) is significantly associated with prehypertension in euglycemic individuals.
- METS-IR serves as an independent predictor of prehypertension.
- This score offers a valuable tool for early risk identification.
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