We used a logistic regression model to estimate the association between B12 and incident albuminuria in FHS participants, defined as UACR ?17 mg/g in men and ?25 mg/g in women at Offspring examination cycle 8 [2005–2008]. Participants with albuminuria at the baseline examination were excluded. c, smoking status, hypertension treatment and the presence of diabetes. We then further adjusted the model for baseline homocysteine levels. Because there was no correspondence between B12 and homocysteine in the incident analyses, no stratified analysis was done.
We tested the association between B12 and incident RKF using a logistic regression model. The multivariable adjusted model included age, sex, baseline eGFR, diabetes, hypertension and dipstick proteinuria. This model was again adjusted for baseline homocysteine levels. Statistical analyses were performed using SAS, version 9.2 (Cary, North Carolina). A two-tailed p-value of <0.05 was considered significant.
To replicate all of our conclusions, i created similar logistic regression habits to test this new get across-sectional association ranging from B12, albuminuria and you will RKF in the people away from NHANES 2003–2004. The patterns was in fact modified and stratified since revealed over having FHS. Analyses to have NHANES 2003–2004 were performed having fun with SUDAAN 10.step one (Look Triangle Institute, Lookup Triangle Park, NC) accounting for it study’s state-of-the-art testing construction, including irregular probabilities of solutions, over-sampling, and non-effect. Sampling weights was basically applied for every NHANES 2003–2004 analyses to manufacture quotes that are member of your national U.S people.
Baseline properties
In total, 2,965 FHS participants were included in the study. Baseline B12 ranged from 50–1690 pg/ml. In total, 135 participants had B12 levels below 200 pg/ml. The characteristics of the participants, stratified by quartile of vitamin B12, are shown in Table 1. There was no difference in baseline eGFR, UACR or the prevalence of albuminuria across vitamin B12 quartiles. There was an inverse relationship between vitamin B12 and homocysteine levels across quartiles (p < 0.0001 for trend).
Plasma B12 was weakly correlated with HDLc (r = 0.06, p = 0.002) and BMI (r = ?0.08, p < 0.001). There was an expected negative correlation with plasma homocysteine levels (r = ?0.29, p < 0.001). There was no correlation between B12 levels and UACR or eGFR.
Cross-sectional analyses from B12 that have albuminuria
In the cross-sectional age- and sex-adjusted and multivariable-adjusted models, there was no association between levels of B12 and prevalent albuminuria (Table 2) in FHS participants. However, after adjustment for homocysteine levels, higher B12 levels were associated http://datingranking.net/blackchristianpeoplemeet-review with an increased risk of albuminuria (OR 1.44 per 1 SD increase, 95% CI 1.10 – 1.87). There was no interaction between B12 and homocysteine (pinteraction = 0.63). When the participants were stratified by homocysteine levels, there was no association between B12 and albuminuria after full covariate adjustment (OR 1.27, 95% CI 0.85 – 1.90) in participants with homocysteine levels < 9.08 ?mol/L. However, in participants with homocysteine above the median, higher B12 levels were associated with albuminuria (OR 1.57, 95% CI 1.10 – 2.26).
Cross-sectional analyses out of B12 with RKF
In cross-sectional age- and sex-adjusted models and the multivariable model, there was no association between B12 and RKF (Table 2). After adjusting for homocysteine, there was an association between B12 and RKF (OR 1.83, 95% CI 1.30 – 2.60). The association between B12 and RKF differed by level of homocysteine (pinteraction = 0.005). After stratifying by median homocysteine (9.08 ?mol/L), the relationship between B12 and RKF remained robust in participants with homocysteine ? 9.08 ?mol/L (OR 2.17, 95% CI 1.44 – 3.26). However, at lower levels of homocysteine, there was no association between B12 and RKF (OR 1.22, 95% CI 0.62 – 2.41).