| Literature DB >> 17183715 |
Domenico Girelli1, Nicola Martinelli, Oliviero Olivieri, Francesca Pizzolo, Simonetta Friso, Giovanni Faccini, Claudia Bozzini, Ilaria Tenuti, Valentina Lotto, Giuliano Villa, Patrizia Guarini, Elisabetta Trabetti, Pier Franco Pignatti, Alessandro Mazzucco, Roberto Corrocher.
Abstract
BACKGROUND: The independent prognostic impact, as well as the possible causal role, of hyperhomocysteinemia (HHcy) in coronary artery disease (CAD) is controversial. No previous study specifically has addressed the relationship between HHcy and mortality after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the prognostic impact of HHcy after CABG surgery. METHODOLOGY AND PRINCIPALEntities:
Mesh:
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Year: 2006 PMID: 17183715 PMCID: PMC1762373 DOI: 10.1371/journal.pone.0000083
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Clinical and laboratory characteristics of patients by baseline tHcy (90th percentile = 25.2 µmol/l).
| Total population (n = 350) | tHcy<90th percentile (n = 315) | tHcy≥90th percentile (n = 35) |
| |
|
| 60.2±8.9 | 60.1±8.8 | 61.0±9.9 | 0.569 |
|
| 82.9 | 83.2 | 80.0 | 0.636 |
|
| ||||
|
| 6.6 | 6.4 | 8.6 | 0.869 |
|
| 15.9 | 16.1 | 14.3 | 0.869 |
|
| 77.5 | 77.5 | 77.1 | 0.869 |
|
| 61.8 | 61.3 | 65.7 | 0.614 |
|
| 65.6 | 65.0 | 70.6 | 0.519 |
|
| 66.2 | 66.2 | 65.7 | 0.950 |
|
| 15.6 | 17.3 | 0 |
|
|
| 26.7±3.3 | 26.7±3.3 | 25.9±2.8 | 0.136 |
|
| 72.6±15.9 | 73.4±15.2 | 65.0±19.9 |
|
|
| 5.92±1.10 | 5.90±1.10 | 6.09±1.03 | 0.340 |
|
| 3.97±0.97 | 3.97±0.99 | 3.96±0.80 | 0.961 |
|
| 1.22±0.32 | 1.23±0.32 | 1.19±0.33 | 0.595 |
|
| 2.05±1.23 | 2.03±1.24 | 2.22±1.20 | 0.388 |
|
| 2.54 (2.27–2.84) | 2.44 (2.17–2.73) | 3.68 (2.58–5.26) |
|
|
| 12.2 (11.7–12.8) | 12.6 (12.0–13.3) | 8.9 (7.8–10.2) |
|
|
| 283 (269–297) | 288 (274–303) | 235 (193–288) |
|
|
| 33.0 (31.0–35.1) | 33.5 (31.6–35.5) | 29.2 (20.8–41.1) | 0.200 |
|
| 15.7 (15.0–16.3) | 14.3 (13.9–14.8) | 34.7 (31.0–38.8) |
|
|
| 41.8 (40.0–43.5) | 39.4 (37.9–40.9) | 67.9 (59.6–77.3) |
|
|
| 24.7 (23.4–26.1) | 24.3 (23.0–25.7) | 28.4 (22.1–36.5) | 0.092 |
|
| ||||
|
| 31.1 | 33.9 | 5.8 |
|
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| 52.5 | 53.1 | 47.1 |
|
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| 16.4 | 13.0 | 47.1 |
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|
| ||||
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| 63.4 | 64.1 | 56.3 | 0.678 |
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| 28.5 | 27.9 | 34.3 | 0.678 |
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| 8.1 | 8.0 | 9.4 | 0.678 |
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| ||||
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| 48.1 | 48.7 | 42.9 | 0.510 |
|
| 50.4 | 51.0 | 45.7 | 0.556 |
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| 92.3 | 92.0 | 94.3 | 0.637 |
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| 58.2 | 58.6 | 54.3 | 0.624 |
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| 33 (9.4) | 26 (8.3) | 7 (20) |
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| 25 (7.3) | 18 (5.9) | 7 (20) |
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glomerular filtration rate (GFR) estimated by the abbreviated Modification of Diet in Renal Disease (MDRD) equation.
tHcy, total homocysteine; PML-tHcy, post methionine loading t-Hcy; PML-tHcy increase (i.e. the difference between PML-tHcy and tHcy); the data of PML-tHcy were available for 272 subjects.
LVEF, left ventricular ejection fraction
values of P are calculated by t-test or χ2-test.
Antiplatelet therapy included Aspirin (80.7%), Ticlopidine (10.8%), and Indobuphen (1.2%).
Predictors of tHcy levels (dependent variable) in multiple linear regression analysis.
| Independent variables | standardized β-coefficient |
|
|
| 0.293 | <0.001 |
|
| − 0.287 | <0.001 |
|
| − 0.283 | <0.001 |
|
| − 0.252 | <0.001 |
|
| 0.082 | 0.094 |
|
| − 0.045 | 0.396 |
|
| 0.027 | 0.591 |
|
| − 0.025 | 0.645 |
R2 = 0.336, Adjusted R2 = 0.318, P<0.001
Figure 1Kaplan-Meier survival plots for total mortality (A–B) and cardiovascular death (C–D) in relation to tHcy levels.
Cutoff points for tHcy strata at 25.2 µmol/l in plots A and C, at 15 and 25.2 µmol/l in plots B and D.
Univariate and sex/age adjusted predictors of total and cardiovascular mortality by Cox regression analyses.
| Total mortality | Cardiovascular mortality | |||||||
| Variable | Univariate | Age and sex adjusted | Univariate | Age and sex adjusted | ||||
| HR |
| HR |
| HR |
| HR |
| |
|
| 1.82 (0.84–3.91) | 0.127 | 1.74 (0.78–3.90) | 0.178 | 2.79 (1.27–6.10) | 0.011 | 2.80 (1.23–6.36) | 0.014 |
|
| 2.64 (1.14–6.10) | 0.023 | 2.59 (1.12–5.99) | 0.027 | 3.67 (1.53–8.76) | 0.004 | 3.60 (1.50–8.62) | 0.004 |
|
| 0.14 (0.06–0.33) | <0.001 | 0.15 (0.06–0.38) | <0.001 | 0.20 (0.08–0.50) | 0.001 | 0.22 (0.09–0.56) | 0.001 |
|
| 0.49 (0.24–1.00) | 0.05 | 0.54 (0.26–1.12) | 0.100 | 0.47 (0.20–1.08) | 0.07 | 0.51 (0.22–1.20) | 0.123 |
|
| 1.57 (1.14–2.16) | 0.006 | 1.51 (1.11–2.05) | 0.009 | 1.48 (1.01–2.15) | 0.042 | 1.40 (0.98–2.02) | 0.068 |
|
| 1.58 (1.04–2.41) | 0.034 | 1.74 (1.12–2.70) | 0.013 | 1.61 (0.99–2.62) | 0.054 | 1.72 (1.04–2.86) | 0.036 |
|
| 3.08 (1.12–8.49) | 0.030 | 3.04 (1.10–8.39) | 0.032 | 3.05 (0.98–9.45) | 0.054 | 3.01 (0.97–9.37) | 0.057 |
Cox regression was used, with entering of only 1 variable. The following clinical variables were tested: age (10 years increment), male sex, number of coronary vessels diseased, history of myocardial infarction, history of smoking, hypertension, diabetes, BMI and medical therapy at discharge (ACE-inhibitors, β-blockers, aspirin, statin). The following laboratory variables were tested: GFR (10 ml/min increment), total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, hs-CRP (ln), folate (ln), vitamin B12 (ln), vitamin B6 (ln), Hcy (ln), HHcy (tHcy≥25.2 µmol/l) , PML-tHcy (ln), ΔPML-tHcy (ln) and MTHFR genotype (677 TT homozygosity). Only univariate predictors with at least one P value≤0.07 are shown in the table.
sex adjusted
LVEF, left ventricular ejection fraction; as compared with the group with normal left ventricular function, i.e. LVFE≥55%
Final Cox predictive models of total and cardiovascular mortality.
| Total mortality | Cardiovascular mortality | |||
| HR |
| HR |
| |
|
| 5.02 (1.88–13.42) | 0.001 | 7.07 (2.49–20.07) | <0.001 |
|
| 0.12 (0.04–0.34) | <0.001 | 0.18 (0.06–0.53) | 0.002 |
Multivariate Cox predictive model involves backward stepwise logistic regression (P≥0.10 to remove). All univariate predictors of total or cardiovascular mortality with P<0.10 (Table 3A), including sex, history of myocardial infarction, and also all the significant predictors of tHcy (GFR, MTHFR genotype, folate, and vitamin B12) were initially entered.