Why the study?
Although ABI screens for PAD and associated mortality in type 2 diabetes, its sensitivity is limited, prompting evaluation of combined ABI and percentage of mean arterial pressure (%MAP) to improve mortality prediction.
Does the combination of ABI and %MAP improve the prediction of all-cause mortality compared to ABI alone in patients with type 2 diabetes mellitus?
Does the combination of ABI and %MAP improve the prediction of all-cause mortality compared to ABI alone in patients with type 2 diabetes mellitus?
The addition of the percentage of mean arterial pressure (%MAP) to the ankle-brachial index (ABI) significantly improves the prediction of all-cause mortality in patients with type 2 diabetes compared to ABI alone.
May improve mortality risk stratification with combined ABI-%MAP in T2D; leaves open prospective validation before clinical adoption.
BACKGROUND: Peripheral artery disease (PAD) in the lower extremities is a common complication of type 2 diabetes and has been shown to be associated with mortality. The ankle-brachial index (ABI) is a simple noninvasive method to screen PAD, but this method has limited sensitivity. We hypothesized that using the percentage of mean arterial pressure (%MAP) in combination with the ABI would improve the prediction of mortality. METHODS: We retrospectively collected data from patients with type 2 diabetes who had undergone ABI and %MAP measurements at our hospital. We separated the cohort into four groups according to their ABI and %MAP values, and we examined whether these indices were associated with mortality. RESULTS: A total of 5569 patients (mean age, 65 ± 11 years) were enrolled. During the follow-up period (median, 22.9 months), 266 (4.8%) of the enrolled patients died. The combination of ABI and %MAP was significantly more effective than ABI alone for predicting mortality (C index of 0.62, 95% confidence interval [CI] of 0.57 to 0.65 vs. C index of 0.57, 95% CI of 0.53 to 0.62; P = 0.038). In multivariate analysis (with a reference group defined by ABI > 0.90 and %MAP ≤ 45%), the highest risk of mortality was seen in patients with ABI ≤ 0.90 and %MAP > 45% (hazard ratio = 2.045 [95% CI 1.420, 2.945], P < 0.001). CONCLUSIONS: The use of %MAP alongside ABI appears to significantly improve the prediction of all-cause mortality in patients with type 2 diabetes.
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Li et al. (2020) studied this question.
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