Relationship of a Low Ankle-brachial Index with All-cause Mortality and Cardiovascular Mortality in Chinese Patients with Metabolic Syndrome after a 6-Year Follow-up: A Chinese Prospective Cohort Study
| Autor: | Yawei Xu, Chao-fan Wang, Xiankai Li, Yuan-min Li, Hai-yan Yang, Yan Cang, Jue Li, Yun Zhou, Yue-zhou Wu |
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| Rok vydání: | 2012 |
| Předmět: |
Male
medicine.medical_specialty Cohort Studies Asian People Cause of Death Internal medicine Internal Medicine medicine Humans Ankle Brachial Index Longitudinal Studies Prospective Studies cardiovascular diseases Risk factor Prospective cohort study Survival rate Aged Aged 80 and over Metabolic Syndrome Proportional hazards model business.industry Confounding General Medicine Middle Aged medicine.disease Survival Rate body regions Cardiovascular Diseases Relative risk Physical therapy Female Metabolic syndrome business Follow-Up Studies Cohort study |
| Zdroj: | Internal Medicine. 51:2847-2856 |
| ISSN: | 1349-7235 0918-2918 |
| DOI: | 10.2169/internalmedicine.51.7718 |
| Popis: | Objective Peripheral arterial disease (PAD) is a common clinical manifestation of the systemic atherosclerotic process, and the ankle-brachial index (ABI) is an ideal tool to diagnose PAD. Currently, there have been few long-term follow-up studies focused on the associations of the ABI with all-cause mortality and cardiovascular disease (CVD) mortality in Chinese MetS patients. The aim of this study was to evaluate the usefulness of ABI to predict the prognosis of CVD in hospitalized Chinese patients with metabolic syndrome (MetS). Methods Participants from multi-center departments were followed up from November 2004 to January 2011. The study sample actually comprised 1,266 valid participants whose age was ≥35 years. Patients were separated into four groups, with an ABI ≤0.4, 0.41-0.7, 0.71-0.9 and 0.91-1.4. An ABI ≤0.9 was defined as PAD, and subjects with an ABI >1.4 were excluded because of the false negative rate. Factors related to all-cause and cardiovascular mortality were observed by Cox models and the log rank test. Potential confounding variables with values of p |
| Databáze: | OpenAIRE |
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