Literature DB >> 33086427

Usefulness of ankle-brachial index calculated using diastolic blood pressure for prediction of mortality in patients with acute myocardial infarction.

Po-Chao Hsu1,2, Wen-Hsien Lee1,2,3, Cheng-An Chiu1, Ying-Chih Chen1,3, Ching-Tang Chang1, Wei-Chung Tsai1,2, Chun-Yuan Chu1,2, Tsung-Hsien Lin1,2, Wen-Chol Voon1,2, Wen-Ter Lai1,2, Sheng-Hsiung Sheu1,2, Ho-Ming Su1,2,3.   

Abstract

A low ankle-brachial index (ABI) calculated using systolic blood pressure (SBP) (ABIsbp) is associated with poor cardiovascular outcome in patients with acute myocardial infarction (AMI). ABI is always calculated using SBP clinically. However, there was no study investigating ABI calculated using mean artery pressure (MAP)(ABImap) and diastolic blood pressure (DBP)(ABIdbp) for mortality prediction in AMI patients. Therefore, our study was aimed to investigate the issue. 199 AMI patients were enrolled. Different ABIs were measured by an ABI-form device. The median follow-up to mortality was 64 months. There were 40 cardiovascular and 137 all-cause mortality. The best cutoff values of ABImbp and ABIdbp for mortality prediction were 0.91 and 0.78, respectively. After multivariate analysis, only ABIdbp and ABIdbp < 0.78 could predict cardiovascular mortality (P ≤ .047). However, all of six ABI parameters, including ABIsbp, ABImap, ABIdbp, ABIsbp < 0.90, ABImap < 0.91, and ABIdbp < 0.78, could predict all-cause mortality (P ≤ .048). In a direct comparison of six ABI models for prediction of all-cause mortality, basic model + ABIdbp <0.78 had the highest predictive value (P ≤ .025). In conclusion, only ABIdbp and ABIdbp < 0.78 could predict cardiovascular and all-cause mortality after multivariate analysis in our study. Furthermore, when adding into a basic model, ABIdbp < 0.78 had the highest additively predictive value for all-cause mortality in the six ABI parameters. Hence, calculation of ABI using DBP except SBP might provide an extra benefit in prediction of cardiovascular and all-cause mortality in AMI patients.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  acute myocardial infarction; ankle-brachial index; cardiovascular; diastolic blood pressure; mean artery pressure; mortality; systolic blood pressure

Mesh:

Year:  2020        PMID: 33086427      PMCID: PMC8030087          DOI: 10.1111/jch.14032

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  27 in total

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Authors:  John W McEvoy; Yuan Chen; Andreea Rawlings; Ron C Hoogeveen; Christie M Ballantyne; Roger S Blumenthal; Josef Coresh; Elizabeth Selvin
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8.  Predictors of long-term (10-year) mortality postmyocardial infarction: age-related differences. Soroka Acute Myocardial Infarction (SAMI) Project.

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9.  Low diastolic blood pressure and mortality in a population-based cohort of 16913 hypertensive patients in North Karelia, Finland.

Authors:  J Tuomilehto; O P Ryynänen; A Koistinen; D Rastenyte; A Nissinen; P Puska
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10.  Perfusion Pressure Cerebral Infarct (PPCI) trial - the importance of mean arterial pressure during cardiopulmonary bypass to prevent cerebral complications after cardiac surgery: study protocol for a randomised controlled trial.

Authors:  Anne G Vedel; Frederik Holmgaard; Lars Simon Rasmussen; Olaf B Paulson; Carsten Thomsen; Else Rubæk Danielsen; Annika Langkilde; Jens P Goetze; Theis Lange; Hanne Berg Ravn; Jens C Nilsson
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  2 in total

1.  Usefulness of ankle-brachial index calculated using diastolic blood pressure for prediction of mortality in patients with acute myocardial infarction.

Authors:  Po-Chao Hsu; Wen-Hsien Lee; Cheng-An Chiu; Ying-Chih Chen; Ching-Tang Chang; Wei-Chung Tsai; Chun-Yuan Chu; Tsung-Hsien Lin; Wen-Chol Voon; Wen-Ter Lai; Sheng-Hsiung Sheu; Ho-Ming Su
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-10-21       Impact factor: 3.738

2.  The baseline and repeated measurements of DBP to assess in-hospital mortality risk among critically ill patients with acute myocardial infarction: A retrospective cohort study.

Authors:  Sulan Huang; Yanlan Luo; Li Liang; Ning Guo; Xiangjie Duan; Quan Zhou; Liangqing Ge
Journal:  Medicine (Baltimore)       Date:  2022-10-07       Impact factor: 1.817

  2 in total

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