BACKGROUND: Hyperhomocysteinemia is thought to be an independent risk factor for cardiovascular disease, but the association between renal dysfunction and homocysteine may not have been fully taken into account. We performed a meta-analysis of studies that report correlations between glomerular filtration rate (GFR) and homocysteine plasma levels. METHODS: Using a prespecified research strategy, we identified 41 studies involving 26,617 participants that reported Pearson or Spearman correlation coefficients for the association between 1/GFR and homocysteine. The summary correlation coefficients with 95% CI were obtained by pooling the logarithmic Z values derived from the individual trial correlation coefficients. Subgroup analysis was performed to compare results for measured GFR using clearance methods and various estimates of GFR. RESULTS: The pooled correlation coefficient between homocysteine and 1/GFR was 0.37 (CI 0.32-0.40, p < 0.0001). The correlation coefficient based on various estimates of GFR was 0.33 (CI 0.29-0.38, p < 0.0001), and for measured GFR it was 0.45 (CI 0.39-0.51, p < 0.0001). The correlation coefficient was higher when GFR was measured using clearance methods compared with various estimates GFR (1.36 [CI 1.13-1.65], p = 0.0014). CONCLUSIONS: Homocysteine plasma levels significantly depend on renal function. This correlation is even more robust when GFR is measured using clearance methods. Therefore, in order to assess whether homocysteine is an independent cardiovascular risk factor, accurate adjustments for renal dysfunction are essential. Copyright 2008 S. Karger AG, Basel.
BACKGROUND:Hyperhomocysteinemia is thought to be an independent risk factor for cardiovascular disease, but the association between renal dysfunction and homocysteine may not have been fully taken into account. We performed a meta-analysis of studies that report correlations between glomerular filtration rate (GFR) and homocysteine plasma levels. METHODS: Using a prespecified research strategy, we identified 41 studies involving 26,617 participants that reported Pearson or Spearman correlation coefficients for the association between 1/GFR and homocysteine. The summary correlation coefficients with 95% CI were obtained by pooling the logarithmic Z values derived from the individual trial correlation coefficients. Subgroup analysis was performed to compare results for measured GFR using clearance methods and various estimates of GFR. RESULTS: The pooled correlation coefficient between homocysteine and 1/GFR was 0.37 (CI 0.32-0.40, p < 0.0001). The correlation coefficient based on various estimates of GFR was 0.33 (CI 0.29-0.38, p < 0.0001), and for measured GFR it was 0.45 (CI 0.39-0.51, p < 0.0001). The correlation coefficient was higher when GFR was measured using clearance methods compared with various estimates GFR (1.36 [CI 1.13-1.65], p = 0.0014). CONCLUSIONS:Homocysteine plasma levels significantly depend on renal function. This correlation is even more robust when GFR is measured using clearance methods. Therefore, in order to assess whether homocysteine is an independent cardiovascular risk factor, accurate adjustments for renal dysfunction are essential. Copyright 2008 S. Karger AG, Basel.
Authors: Young Jin Tak; Dong Wook Jeong; Yun Jin Kim; Sang Yeoup Lee; Jeong Gyu Lee; Sang Heon Song; Kwang Soo Cha; Yang Ho Kang Journal: Int Urol Nephrol Date: 2016-01-02 Impact factor: 2.370
Authors: Franziska Marti; Peter Vollenweider; Pedro-Manuel Marques-Vidal; Vincent Mooser; Gérard Waeber; Fred Paccaud; Murielle Bochud Journal: BMC Public Health Date: 2011-09-26 Impact factor: 3.295
Authors: Brandilyn A Peters; Megan N Hall; Xinhua Liu; Y Dana Neugut; J Richard Pilsner; Diane Levy; Vesna Ilievski; Vesna Slavkovich; Tariqul Islam; Pam Factor-Litvak; Joseph H Graziano; Mary V Gamble Journal: PLoS One Date: 2014-12-01 Impact factor: 3.240