Diet quality in relation to kidney function and its potential interaction with genetic risk of kidney disease among Dutch post-myocardial infarction patients

Purpose: We examined the relation between diet quality, its components and kidney function decline in post-myocardial infarction (MI) patients, and we explored differences by genetic risk of chronic kidney disease (CKD). Methods: We analysed 2169 patients from the Alpha Omega Cohort (aged 60–80 years, 81% male). Dietary intake was assessed at baseline (2002–2006) using a validated food-frequency questionnaire and diet quality was defined using the Dutch Healthy Diet Cardiovascular Disease (DHD-CVD) index. We calculated 40-months change in estimated glomerular filtration rate (eGFR, mL/min per 1.73m2). We constructed a weighted genetic risk score (GRS) for CKD using 88 single nucleotide polymorphisms previously linked to CKD. Betas with 95%-confidence intervals (CIs) were obtained using multivariable linear regression models for the association between DHD-CVD index and its components and eGFR change, by GRS. Results: The average DHD-CVD index was 79 (SD 15) points and annual eGFR decline was 1.71 (SD 3.86) mL/min per 1.73 m2. The DHD-CVD index was not associated with annual eGFR change (per 1-SD increment in adherence score: -0.09 [95% CI -0.26,0.08]). Results for adherence to guidelines for red meat showed less annual eGFR decline (per 1-SD: 0.21 [0.04,0.38]), whereas more annual eGFR decline was found for legumes and dairy (per 1-SD: -0.20legumes [-0.37,-0.04] and − 0.18dairy [-0.34,-0.01]). Generally similar results were obtained in strata of GRS. Conclusion: The DHD-CVD index for overall adherence to Dutch dietary guidelines for CVD patients was not associated with kidney function decline after MI, irrespective of genetic CKD risk. The preferred dietary pattern for CKD prevention in CVD patients warrants further research.</p

Serum uric acid is related to liver and kidney disease and 12-year mortality risk after myocardial infarction

ObjectiveTo study the associations of non-alcoholic fatty liver disease (NAFLD), chronic kidney disease (CKD), and serum uric acid (SUA) in patients with post–myocardial infarction (MI) patients, and the relationship of SUA with 12-year mortality risk.MethodsWe included 3,396 patients (60–80 years old, 78% men) of the Alpha Omega Cohort. Multivariable prevalence ratios (PRs) were obtained for the association of NAFLD [fatty liver index (FLI), ≥77 (women) and ≥79 (men)] with CKD [estimated glomerular filtration rate (eGFR), &lt;60 mL/min per 1.73 m2]. We calculated sensitivity and specificity of SUA to detect the (combined) presence and absence of NAFLD and CKD. Cause-specific mortality was monitored from enrolment (2002–2006) through December 2018. Hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality in SUA categories were obtained from multivariable Cox models.ResultsMedian baseline FLI was 67 (men, 68; women, 64), and mean ± SD eGFR was 81 ± 20 mL/min per 1.73 m2 (17% with CKD). Sex-specific FLI was associated with higher CKD prevalence (PRtertile3 vs. tertile1, 1.94; 95% confidence interval: 1.57, 2.39). Baseline SUA was 0.36 ± 0.09 mmol/L. With increasing SUA concentrations, specificity for the presence of NAFLD, CKD, or both increased, and sensitivity decreased. During 12 (interquartile range, 9–14) years of follow-up, 1,592 patients died (713 from CVD). HRs ranged from 1.08 (0.88, 1.32) for SUA ≤0.25 mmol/L to 2.13 (1.75, 2.60) for SUA &gt;0.50 mmol/L vs. SUA &gt;0.30–0.35 mmol/L for all-cause mortality. For CVD mortality, HRs ranged from 1.05 (0.77, 1.44) to 2.43 (1.83, 3.25).ConclusionsNAFLD and CKD were strongly associated, which was reflected by higher SUA concentrations. SUA was a strong predictor of 12-year mortality risk after MI

How could the service delivery process of dynamic arm supports be optimized?

BACKGROUND: The service delivery process of dynamic arm support (DAS) is complex. Obtaining an optimal match between user and DAS depends on a variety of interrelated factors, different professionals are involved, and the market of available solutions is evolving. OBJECTIVE: To determine how the service delivery process of DAS could be optimized. METHODS: Interviews with DAS users that retrospectively focused on the experienced service delivery process, which was compared to the general Dutch prescription guideline. Results were presented in a focus group session to seven DAS consultants, and subsequently verified by a member-check. RESULTS: Sixteen people who considered the Gowing (a DAS new on the market) as a solution and seven DAS consultants participated. Aspects that can be optimized in the current service delivery process included an improved cooperation between clients, professionals and consultants, increased knowledge of DAS in professionals, an embedded user evaluation, and timely delivery. CONCLUSIONS: It is recommended that the service delivery process is optimized by developing a DAS specific prescription framework. The issues identified in this study should be addressed in this framework. For this additional knowledge on how to optimally match persons and DAS is needed

Chondrogenic potential of mesenchymal stromal cells derived from equine bone marrow and umbilical cord blood.

OBJECTIVE: Orthopaedic injury is the most common cause of lost training days or premature retirement in the equine athlete. Cell-based therapies are a potential new treatment option in musculo-skeletal diseases. Mesenchymal stromal cells (MSC) have been derived from multiple sources in the horse including bone marrow and umbilical cord blood. The objective of this study was to provide an in vitro comparison of the chondrogenic potential in MSC derived from adult bone marrow (BM-MSC) and umbilical cord blood (CB-MSC). RESULTS: MSC from both sources produced tissue with cartilage-like morphology that stained positive for proteoglycans and expressed cartilage markers. The CB-MSC pellets were larger and showed hyaline-like cartilage morphology as early as day six. Gene expression of collagen type 21, aggrecan and CD-RAP was higher in CB- than BM-MSC pellets. Expression of Sox9 mRNA was similar between CB- and BM-MSC pellets. Protein concentration of cartilage-derived retinoic acid sensitive protein was higher in culture medium from CB- than BM-MSC pellets. CONCLUSION: CB-MSC and BM-MSC were both capable of producing hyaline-like cartilage in vitro . However, in this study the MSC from umbilical cord blood appeared to have more chondrogenic potential than the BM-MSC based on the cells tested and parameters measured

Fatty Liver Index and mortality after myocardial infarction: A prospective analysis in the Alpha Omega Cohort.

Accumulating evidence shows that NAFLD might play a role in the etiology and progression of CVD, but little is known on the association of NAFLD and CVD mortality in patients with a history of a myocardial infarction (MI). Therefore, we studied the relationship of Fatty Liver Index (FLI), as indicator for non-alcoholic fatty liver disease (NAFLD), with 12-year risk of cardiovascular disease (CVD) and all-cause mortality in post-MI patients. We included 4165 Dutch patients from the Alpha Omega Cohort aged 60-80 years who had an MI ≤10 years prior to study enrolment. NAFLD was defined as FLI ≥60. Patients were followed for cause-specific mortality from enrolment (2002-2006) through December 2018. Hazard ratios for CVD and all-cause mortality were obtained by multivariable Cox regression using FLI <30 (indicating absence of NAFLD) as the reference. Baseline FLI as a continuous measure was studied with mortality using restricted cubic splines analyses. The median (IQR) FLI was 68 (48-84). Sixty percent of the patients had FLI ≥60, who were more likely to be male and more often had diabetes, high blood pressure, and high serum cholesterol levels. During 12 years of follow-up, 2042 deaths occurred of which 846 from CVD. Patients with NAFLD were at increased risk of CVD mortality (HR: 1.55 [1.19, 2.03]) and all-cause mortality (HR: 1.21 [1.03; 1.41]) compared to patients without NAFLD. Results remained consistent after excluding patients with obesity and diabetes. To conclude, the adverse association of FLI with CVD mortality was stronger in female than in male patients with conventional cut-off points. FLI ≥60, indicating NAFLD, was a predictor for CVD and all-cause mortality in post-MI patients, independent of other cardiometabolic risk factors. However, cut-off points might differ between male and female patients for predicting CVD mortality

DataSheet_1_Serum uric acid is related to liver and kidney disease and 12-year mortality risk after myocardial infarction.docx

ObjectiveTo study the associations of non-alcoholic fatty liver disease (NAFLD), chronic kidney disease (CKD), and serum uric acid (SUA) in patients with post–myocardial infarction (MI) patients, and the relationship of SUA with 12-year mortality risk.MethodsWe included 3,396 patients (60–80 years old, 78% men) of the Alpha Omega Cohort. Multivariable prevalence ratios (PRs) were obtained for the association of NAFLD [fatty liver index (FLI), ≥77 (women) and ≥79 (men)] with CKD [estimated glomerular filtration rate (eGFR), 2]. We calculated sensitivity and specificity of SUA to detect the (combined) presence and absence of NAFLD and CKD. Cause-specific mortality was monitored from enrolment (2002–2006) through December 2018. Hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality in SUA categories were obtained from multivariable Cox models.ResultsMedian baseline FLI was 67 (men, 68; women, 64), and mean ± SD eGFR was 81 ± 20 mL/min per 1.73 m2 (17% with CKD). Sex-specific FLI was associated with higher CKD prevalence (PRtertile3 vs. tertile1, 1.94; 95% confidence interval: 1.57, 2.39). Baseline SUA was 0.36 ± 0.09 mmol/L. With increasing SUA concentrations, specificity for the presence of NAFLD, CKD, or both increased, and sensitivity decreased. During 12 (interquartile range, 9–14) years of follow-up, 1,592 patients died (713 from CVD). HRs ranged from 1.08 (0.88, 1.32) for SUA ≤0.25 mmol/L to 2.13 (1.75, 2.60) for SUA >0.50 mmol/L vs. SUA >0.30–0.35 mmol/L for all-cause mortality. For CVD mortality, HRs ranged from 1.05 (0.77, 1.44) to 2.43 (1.83, 3.25).ConclusionsNAFLD and CKD were strongly associated, which was reflected by higher SUA concentrations. SUA was a strong predictor of 12-year mortality risk after MI.</p

Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction &lt; 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P = 4e-273) and cis-DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.</p