Clinical significance of an elevated ankle-brachial index differs depending on the amount of appendicular muscle mass: the J-SHIPP and Nagahama studies
Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the...
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Published in | Hypertension research Vol. 41; no. 5; pp. 354 - 362 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
Nature Publishing Group
01.05.2018
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Online Access | Get full text |
ISSN | 0916-9636 1348-4214 1348-4214 |
DOI | 10.1038/s41440-018-0020-x |
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Abstract | Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = -0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass. |
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AbstractList | Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = -0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass. Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = -0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass.Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = -0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass. Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = −0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass. |
Author | Kohara, Katsuhiko Matsuda, Fumihiko Ohara, Maya Igase, Michiya Tabara, Yasuharu Setoh, Kazuya Kosugi, Shinji Miki, Tetsuro Okada, Yoko Takahashi, Yoshimitsu Ohyagi, Yasumasa Kawaguchi, Takahisa Nakayama, Takeo |
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CitedBy_id | crossref_primary_10_1002_ehf2_12951 crossref_primary_10_1038_s41440_019_0276_9 crossref_primary_10_1177_1358863X231190433 crossref_primary_10_1186_s12872_024_04137_x crossref_primary_10_1016_j_atherosclerosis_2021_03_010 crossref_primary_10_1111_ggi_14063 crossref_primary_10_1016_j_refrac_2019_06_006 |
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SubjectTerms | Adipose Tissue - anatomy & histology Adult Aged Aging Ankle Ankle Brachial Index Cardiomegaly - physiopathology Carotid Intima-Media Thickness Clinical significance Cohort Studies Electric Impedance Female Humans Insulin Resistance Japan Longitudinal Studies Male Middle Aged Muscle, Skeletal - anatomy & histology Tomography, X-Ray Computed Vascular Stiffness |
Title | Clinical significance of an elevated ankle-brachial index differs depending on the amount of appendicular muscle mass: the J-SHIPP and Nagahama studies |
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