Literature DB >> 22695509

Brachial-ankle pulse wave velocity and systolic time intervals in risk stratification for progression of renal function decline.

Ho-Ming Su1, Tsung-Hsien Lin, Po-Chao Hsu, Chun-Yuan Chu, Wen-Hsien Lee, Wei-Chung Tsai, Szu-Chia Chen, Wen-Chol Voon, Wen-Ter Lai, Sheng-Hsiung Sheu.   

Abstract

BACKGROUND: Cardiovascular dysfunction was associated with progression of renal function decline. This study was to assess whether combination of brachial-ankle pulse wave velocity (baPWV) and the ratio of brachial pre-ejection period (bPEP) to brachial ejection time (bET) was independently associated with progression of renal function decline.
METHODS: We included 363 patients and classified them into four groups according to median values of bPEP/bET and baPWV. Groups 1, 2, 3, and 4 were patients with bPEP/bET and baPWV below the median, bPEP/bET above but baPWV below the median, bPET/bET below but baPWV above the median, and bPET/bET and baPWV above the median, respectively. The decline in renal function was assessed by the estimated glomerular filtration rate (eGFR) slope and the renal end points were defined as commencement of dialysis or ≥25% decline in eGFR. The relative risk of renal end points was analyzed by Cox regression method.
RESULTS: The eGFR slope was significantly associated with baPWV, bPEP/bET, and patients in groups 2, 3, and 4 (vs. group 1) (P < 0.006). Multivariate forward Cox regression analysis showed that high baPWV, high bPEP/bET, and patients in groups 2, 3, and 4 (vs. group 1) (P ≤ 0.047) were independent predictors of renal end points.
CONCLUSIONS: Our results demonstrated higher baPWV and bPEP/bET were associated with faster renal function decline and adverse renal end points. Dividing patients into four groups using these two parameters might be useful in risk stratification for progression of renal function decline.

Entities:  

Mesh:

Year:  2012        PMID: 22695509     DOI: 10.1038/ajh.2012.77

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  7 in total

1.  Significant Correlation between Brachial Pulse Pressure Index and Renal Resistive Index.

Authors:  Meng-Kuang Lee; Po-Chao Hsu; Chun-Yuan Chu; Wen-Hsien Lee; Szu-Chia Chen; Huang-Chi Chen; Ho-Ming Su; Tsung-Hsien Lin; Wen-Chol Voon; Wen-Ter Lai; Sheng-Hsiung Sheu
Journal:  Acta Cardiol Sin       Date:  2015-03       Impact factor: 2.672

2.  Compliance Index, a Marker of Peripheral Arterial Stiffness, may Predict Renal Function Decline in Patients with Chronic Kidney Disease.

Authors:  Te-Hui Kuo; Deng-Chi Yang; Wei-Hung Lin; Chin-Chung Tseng; Ju-Yi Chen; Chin-Shan Ho; Meng-Fu Cheng; Wei-Chuan Tsai; Ming-Cheng Wang
Journal:  Int J Med Sci       Date:  2015-06-12       Impact factor: 3.738

3.  Relationship between low Ankle-Brachial Index and rapid renal function decline in patients with atrial fibrillation: a prospective multicentre cohort study.

Authors:  Francesco Violi; Daniele Pastori; Francesco Perticone; William R Hiatt; Angela Sciacqua; Stefania Basili; Marco Proietti; Gino R Corazza; Gregory Y H Lip; Pasquale Pignatelli
Journal:  BMJ Open       Date:  2015-05-21       Impact factor: 2.692

4.  Comparison between estimated and brachial-ankle pulse wave velocity for cardiovascular and overall mortality prediction.

Authors:  Po-Chao Hsu; Wen-Hsien Lee; Wei-Chung Tsai; Ying-Chih Chen; Chun-Yuan Chu; Hsueh-Wei Yen; Tsung-Hsien Lin; Wen-Chol Voon; Wen-Ter Lai; Sheng-Hsiung Sheu; Ho-Ming Su; Cheng-An Chiu
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-12-12       Impact factor: 3.738

5.  P wave dispersion and maximum P wave duration are independently associated with rapid renal function decline.

Authors:  Ho-Ming Su; Wei-Chung Tsai; Tsung-Hsien Lin; Po-Chao Hsu; Wen-Hsien Lee; Ming-Yen Lin; Szu-Chia Chen; Chee-Siong Lee; Wen-Chol Voon; Wen-Ter Lai; Sheng-Hsiung Sheu
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

6.  Heart rate significantly influences the relationship between atrial fibrillation and arterial stiffness.

Authors:  Chun-Yuan Chu; Tsung-Hsien Lin; Po-Chao Hsu; Wen-Hsien Lee; Hung-Hao Lee; Cheng-An Chiu; Ho-Ming Su; Chee-Siong Lee; Hsueh-Wei Yen; Wen-Chol Voon; Wen-Ter Lai; Sheng-Hsiung Sheu
Journal:  Int J Med Sci       Date:  2013-08-08       Impact factor: 3.738

7.  Relationship between brachial-ankle and heart-femoral pulse wave velocities and the rapid decline of kidney function.

Authors:  Sung Woo Lee; Seung Hyeok Han; Tae Hyun Yoo; Wookyung Chung; Sue K Park; Dong Wan Chae; Curie Ahn; Kook-Hwan Oh
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.