The results of different MR analysis methods showed that IVW analysis indicated a significant positive causal relationship between fasting blood glucose and myocardial infarction (OR = 1.0026, 95% CI = 1.0006–1.0046, p = 0.0098); the result of weighted median method was consistent with IVW method and statistically significant (OR = 1.0032, 95% CI = 1.0002–1.0062, p = 0.0387); MER (OR = 1.0033, 95% CI = 0.9991–1.0074, p = 0.1254), SE (OR = 1.0033, 95% CI = 0.9976–1.0090, p = 0.2652) and weighted mode (OR = 1.0031, 95% CI = 1.0000–1.0062, p = 0.0506) did not reach statistical significance, but the direction of effect was consistent with the core results, further supporting that elevated fasting blood glucose may increase the risk of myocardial infarction (Figure 3 ).
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Association Between Fasting Blood Glucose and Myocardial Infarction Risk: Findings From the 2015-2018 NHANES Database and Mendelian Randomization Studies.
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