Genetic selection of volunteers and concomitant dose adjustment leads to comparable hydralazine/valproate exposure.

WHAT IS KNOWN AND OBJECTIVE: Hydralazine is an inhibitor of DNA methyltransferases, whereas valproate interferes with histone deacetylation. In combination, they show a marked synergism in reducing tumour growth as well as development of metastasis and inducing cell differentiation. Hydralazine is metabolized by the highly polymorphic N-acetyltransferase 2. The current pilot study was performed to analyse the pharmacokinetic parameters of a single dose of hydralazine in 24 h (one tablet with 83 mg for slow acetylators and one tablet with 182 mg for fast acetylators) and three fixed doses of valproate (one tablet of controlled liberation with 700 mg every 8 h) in healthy genetically selected volunteers. Selection was performed based on their NAT2 activity as deduced from their genotype. METHODS: An open label non-randomized single arm study was conducted in two groups of six healthy volunteers of both genders aged 20-45 years with a body mass index 22·2-26·9 which were classified as fast or slow acetylators after genotyping 3 SNPs that cover 99·9% of the NAT2 variants in the Mexican population. Blood samples were collected predose and serially post-dose in an interval of 48 h. Hydralazine and valproate concentrations were determined by ultra-high performance liquid chromatography (UPLC) coupled to tandem mass spectroscopy (MS/MS). RESULTS AND DISCUSSION: The AUC0-48 h and Cmax of hydralazine were almost identical (1410 ± 560 vs. 1446 ± 509 ng h/mL and 93·4 ± 16·7 vs. 112·5 ± 42·1 ng/mL) in both groups with NAT2 genotype-adjusted doses, whereas the multidose parameters of valproate were not significantly affected neither by the selection of the NAT2 genotype (AUC0-48 h 2064 ± 455 vs. 1896 ± 185 µg h/mL; Cmax 96·4 ± 21·1 vs. 88·8 ± 7·2 µg/mL, for the fast and slow acetylators, respectively) nor the co-administration of 83 or 182 mg of hydralazine. WHAT IS NEW AND CONCLUSION: Comparable hydralazine exposures (differences in AUC0-inf of only 7%) were observed in this study with genetic selection of volunteers and concomitant dose adjustment. However, the conclusions have yet to be confirmed with a full-powered 2 × 2 crossover study.

Morbidity and mortality in elderly patients with heart failure managed with a comprehensive care model vs. usual care: The UMIPIC program.

BACKGROUND: Elderly patients with heart failure (HF) have a high degree of comorbidity which leads to fragmented care, with frequent hospitalizations and high mortality. This study evaluated the benefit of a comprehensive continuous care model (UMIPIC program) in elderly HF patients. METHODS AND RESULTS: We prospectively analyzed data from the RICA registry on 2862 patients with HF treated in internal medicine departments. They were divided into two groups: one monitored in the UMIPIC program (UMIPIC group, n: 809) and another which received conventional care (RICA group, n: 2.053). We evaluated HF readmissions during 12 months of follow-up and total mortality after episodes of HF hospitalization. UMIPIC patients were older with higher rates of comorbidity and preserved ejection fraction than the RICA group. However, the UMIPIC group had a lower rate of HF readmissions (17% vs. 26%, p < .001) and mortality (16% vs. 27%, respectively; p < .001). In addition, we selected 370 propensity score-matched patients from each group and the differences in HF readmissions (15% UMIPIC vs. 30% RICA; hazard ratio [HR] = 0.44; 95% confidence interval [CI] 0.32-0.60; p < .001) and mortality (17% UMIPIC vs. 28% RICA; hazard ratio = 0.58; 95% CI 0.42-0.79; p = .001) were maintained. CONCLUSIONS: The implementation of the UMIPIC program, based on comprehensive continuous care of elderly patients with HF and high comorbidity, markedly reduce HF readmissions and total mortality.

Epidemiologic changes in bloodstream infections in Andalucía (Spain) during the last decade.

OBJECTIVES: During the last decade, some changes in the epidemiology of invasive infections have been reported; however, specific studies with patient-level data are scarce. The aim of this study was to describe and evaluate the epidemiologic changes in bloodstream infections (BSI) during the last decade in Andalucía, Spain. METHODS: Data from two prospective cohorts of BSI in adults with the same methodology performed 10 years apart in 11 hospitals (eight tertiary and three community) in Andalucía, Spain, were compared; the 2006-7 cohort study was performed between October 2006 and March 2007, and the 2016-17 cohort study was performed between October 2016 and March 2017. Population-based incidence rates were calculated and extrapolated for 1 year. Relative risk ratios were calculated between the 2 periods. Multivariate analyses were performed by logistic regression. RESULTS: Overall, 1262 episodes of BSI were included, 563 (44.6%) in 2006-7 and 699 (55.3%) in 2016-17. Multivariate models selected the following changes in patients' features in 2016-17, after controlling for type of acquisition: higher age (odds ratio (OR) = 1.02; 95% confidence interval [CI] 1.01-1.03), lower urinary catheter (OR = 0.37; 95% CI, 0.26-0.48) and lower Pitt score (OR = 0.76; 95% CI, 0.71-0.82). Adjusted estimations considering patients' features and exposure to procedures showed a reduction in coagulase-negative staphylococci (OR = 0.47; 95% CI, 0.32-0.69), and an increase in Proteus spp. (OR = 3.12; 95% CI, 1.18-8.23) and Candida spp. (OR = 3.01; 95% CI, 1.03-8.86). CONCLUSIONS: We found relevant epidemiologic changes in BSI in our area, including rates, frequency of acquisition types, changes in patient's profiles and aetiologic agents.

Divergent mechanisms of cis9, trans11-and trans10, cis12-conjugated linoleic acid affecting insulin resistance and inflammation in apolipoprotein E knockout mice: a proteomics approach.

Conjugated linoleic acids (CLA) affect atherogenesis, but mechanisms are not well understood. We explored how two isomers of CLA, cis9, trans11-CLA and trans10, cis12-CLA, affected lipid and glucose metabolism, as well as hepatic protein expression, in apolipoprotein E knockout mice. After 12 wk of intervention, plasma triglyceride, NEFA, and glucose concentrations were significantly higher in the trans10, cis12-CLA group, whereas plasma triglyceride, NEFA, glucose, and insulin concentrations were significantly lower in the cis9, trans11-CLA group, compared with control mice consuming linoleic acid. Proteomics identified significant up- or down-regulation of 113 liver cytosolic proteins by either CLA isomer. Principal component analysis revealed that the treatment effect of cis9, trans11-CLA was mainly explained by the up-regulation of different posttranslational forms of heat shock protein 70 kD. In contrast, the treatment effect of trans10, cis12-CLA was mainly explained by up-regulation of key enzymes in the gluconeogenic, beta-oxidation, and ketogenesic pathways. Correlation analysis again emphasized the divergent effects of both CLA isomers on different pathways, but also revealed a linkage between insulin resistance and increased levels of hepatic serotransferrin. Thus, our systems biology approach provided novel insights into the mechanisms by which individual CLA isomers differentially affect pathways related to atherogenesis, such as insulin resistance and inflammation.