Literature DB >> 17445532

Predictors for silent cerebral infarction in patients with chronic renal failure undergoing hemodialysis.

Futoshi Anan1, Tsuyoshi Shimomura, Masaharu Imagawa, Takayuki Masaki, Tomoko Nawata, Naohiko Takahashi, Hidetoshi Yonemochi, Nobuoki Eshima, Tetsunori Saikawa, Hironobu Yoshimatsu.   

Abstract

In patients with chronic renal failure undergoing hemodialysis (HD), silent cerebral infarctions (SCIs) are associated with high mortality. Levels of hepatocyte growth factor (HGF) increase with renal dysfunction and may be a novel predictor of cerebrovascular events. We examined if HGF is a predictor of SCI in HD patients. Brain magnetic resonance imaging findings were used to divide 50 patients undergoing HD into 2 groups, a group with SCI (age, 61 +/- 8 years, mean +/- SD; n = 27) and a group without SCI (age, 60 +/- 7 years; n = 23). These patients received 24-hour ambulatory blood pressure monitoring. The number of patients with diabetes or hypertension was not different between the 2 groups. We made the following observations: (1) The percentage of smokers was higher in the group with SCI than in the group without SCI (P < .05). (2) Plasma levels of high-density lipoprotein cholesterol were lower and HGF levels were higher in the group with SCI compared with the group without SCI (P < .05 and P < .005, respectively). (3) Systolic ambulatory blood pressure and mean heart rate at night were higher in the group with SCI than in the group without SCI (P < .05). Multiple logistic regression analysis identified HGF as a significant risk factor for SCI (odds ratio, 1.89; 95% confidence interval, 1.57-3.38; P < .005). Our findings indicate that HGF may be a novel useful predictor of SCI in patients with chronic renal failure undergoing HD.

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Year:  2007        PMID: 17445532     DOI: 10.1016/j.metabol.2007.01.003

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  8 in total

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Review 4.  Hepatocyte growth factor (HGF) and hemodialysis: physiopathology and clinical implications.

Authors:  Carmelo Libetta; Pasquale Esposito; Claudia Martinelli; Fabrizio Grosjean; Marilena Gregorini; Teresa Rampino; Antonio Dal Canton
Journal:  Clin Exp Nephrol       Date:  2015-12-16       Impact factor: 2.801

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8.  Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients.

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  8 in total

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