Evidence map›Paper›PMID 40966218›Full record

ArticlePloS one2025

Prevalence of peripheral arterial disease and arterial calcification based on three ankle-brachial index calculation methods (highest, average, and lowest systolic ankle pressure): A cross-sectional study in Type 2 diabetes mellitus patients in Peru.

Luis Fernando Espinoza-Enciso, Iván Gonzalo Hernández-Gozar, Kevin Clared Zuñiga-Baldarrago, Robert Lozano-Purizaca, Manolo Briceño-Alvarado, Marlon Yovera-Aldana

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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6 authors.

Luis Fernando Espinoza-EncisoSchool of Medicine, Universidad Científica del Sur, Lima, Perú.
Iván Gonzalo Hernández-GozarSchool of Medicine, Universidad Científica del Sur, Lima, Perú.
Kevin Clared Zuñiga-BaldarragoSchool of Medicine, Universidad Científica del Sur, Lima, Perú.
Robert Lozano-PurizacaSchool of Medicine, Universidad Nacional de Piura, Piura, Perú.
Manolo Briceño-AlvaradoGrupo de Investigación MBA Cardiovasculares, Lima, Perú.
Marlon Yovera-AldanaGrupo de Investigación de Neurociencias, Metabolismo y Efectividad clínica y Sanitaria, Universidad Científica del Sur, Lima, Perú.ORCID 0000-0002-1947-7736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeripheral arterial disease (PAD) and arterial calcification (AC) are frequent yet underdiagnosed vascular complications in individuals with type 2 diabetes mellitus (T2DM). The ankle-brachial index (ABI) is a widely used, non-invasive too for detecting these conditions. However, differences in ABI calculation methos can impact diagnostic accuracy and prevalence estimates.

objectiveTo determine the prevalence of PAD and AC based on three ABI calculation methods in patients with T2DM attending a public hospital in Peru. METHODOLOGY: We conducted a cross-sectional study using data from the At-Risk Foot Program of the Endocrinology Department at Hospital María Auxiliadora (2015-2020). ABI was calculated for each lower limb using the highest, average or lowest systolic ankle pressure (SAP) from either the dorsalis pedis or posterior tibial artery as the numerator, divided by the highest brachial systolic pressure as the denominator. We applied a hierarchical classification: PAD was identified first (ABI < 0.9 in either limb), and among those without PAD, AC was identified (ABI > 1.3 in either limb); the rest were classified as normal. Prevalences estimates were calculated with 95% confidence intervals, and associations with clinical characteristics were explored using Poisson regression with robust variance.

resultsWe included 643 subjects with a mean age of 61.4 years, 69.8% female. The prevalence of PAD was 7.8% (95% CI: 5.8-10.1), 15.4% (95% CI:12.7-18.4), and 28.2% (95% CI 24.7-31.7) using the highest, average, or lowest SAP as the numerator in the ABI, respectively. Conversely, the prevalence of AC was 18.2% (95% CI: 15.3-21.4), 11.0% (95% CI: 8.7-13.7), and 16.2% (95% CI:13.4-19.3). In all three methods, PAD was associated with older age (p < 0.05) and AC was associated with longer duration of diabetes (p < 0.01).

conclusionsAmong patients with T2DM, PAD prevalence varied substantially (7.8% - 28.2%) depending on the ABI calculation method, while AC was present in up to 18.2%. The lowest ankle pressure method increased sensitivity and may be preferred in high-risk populations where avoiding missed diagnoses is critical. The highest ankle pressure method, which maximizes specificity, may be more suitable for general screening and comparability with existing literature, whereas the average pressure approach could be useful in research or prognostic modeling. The hierarchical classification strategy allowed PAD and AC to coexist in the same individual, although this was rare. Given the variability in prevalence across methods, local validation studies are needed to determine which approach optimally balances sensitivity, specificity, and clinical applicability in Peruvian diabetic populations.

Indexed as

Ankle Brachial IndexDiabetes Mellitus, Type 2Peripheral Arterial DiseaseVascular CalcificationAgedBlood PressureCross-Sectional StudiesFemaleHumansMaleMiddle AgedPeruPrevalence

Identifiers

PMID40966218
PMCPMC12445549

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