Literature DB >> 20811293

Predictors of clinical outcome after stent placement in atherosclerotic renal artery stenosis: a systematic review and meta-analysis of prospective studies.

Rianne A Ronden1, Alfons J Houben, Alfons G Kessels, Coen D Stehouwer, Peter W de Leeuw, Abraham A Kroon.   

Abstract

OBJECTIVE: To determine clinical predictors for blood pressure and/or renal function improvement after renal artery stent placement in atherosclerotic renal artery stenosis (ARAS).
METHODS: We searched PubMed, EMBASE and Cochrane databases for prospective studies investigating clinical predictive variables for renal function and/or blood pressure improvement after stent placement in ARAS. Eleven studies (1552 participants) were selected for our systematic review and meta-analysis. Meta-regression analysis was performed to investigate heterogeneity and to determine independent predictors for the outcome variables. Bias was evaluated by use of the Cochrane risk of bias tool.
RESULTS: Multivariate meta-regression analysis showed no predictors for renal function improvement. High baseline diastolic blood pressure (DBP) and pulse pressure were significantly associated with the decrease in blood pressure after intervention. These results were consistent with the predictors reported by the individual studies. Meta-analysis showed a nonsignificant decline in serum creatinine of 4.7 μmol/l [95% confidence interval (Cl) -13.8 to 4.5]. Overall, systolic blood pressure (SBP) fell by 19.2 mmHg (95% Cl -22.7 to -15.7) and DBP decreased 8.9 mmHg (95% Cl -10.8 to -7.0). Risk of bias was present in the majority of the studies.
CONCLUSIONS: The present review did not find a clinical characteristic that reliably predicts renal function outcome. High baseline pulse pressure predicted a smaller decrease in SBP after intervention and the best clinical predictor for a larger DBP reduction was a high pretreatment DBP.

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Year:  2010        PMID: 20811293     DOI: 10.1097/HJH.0b013e32833ec392

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  9 in total

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Authors:  Helen V Alderson; James P Ritchie; Philip A Kalra
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8.  Overview of data-synthesis in systematic reviews of studies on outcome prediction models.

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9.  Comparison and calibration of a real-time virtual stenting algorithm using Finite Element Analysis and Genetic Algorithms.

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  9 in total

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