TY - JOUR A1 - Drechsler, Christiane A1 - Meinitzer, Andreas A1 - Pilz, Stefan A1 - Krane, Vera A1 - Tomaschitz, Andreas A1 - Ritz, Eberhard A1 - März, Winfried A1 - Wanner, Christoph T1 - Homoarginine, heart failure, and sudden cardiac death in haemodialysis patients JF - European Journal of Heart Failure N2 - Aims Sudden cardiac death (SCD) is a major contributor to the excess mortality of patients on maintenance dialysis. Homoarginine deficiency may lead to decreased nitric oxide availability and endothelial dysfunction. Based on this rationale we assessed whether homoarginine deficiency is a risk factor for SCD in dialysis patients. Methods and results This study examined the association of homoarginine with cardiovascular outcomes in 1255 diabetic haemodialysis patients from the German diabetes and dialysis study. During a median of 4 years of follow-up, hazard ratios (HR) (95% CI) for reaching the following pre-specified, adjudicated endpoints were determined: SCD, myocardial infarction, stroke, death due to heart failure, and combined cardiovascular events. There was a strong association of low homoarginine concentrations with the presence of congestive heart failure and left ventricular hypertrophy as well as increased levels of brain natriuretic peptide. Per unit decrease in homoarginine, the risk of SCD increased three-fold (HR 3.1, 95% CI 2.0–4.9), attenuating slightly in multivariate models (HR 2.4; 95% CI 1.5–3.9). Patients in the lowest homoarginine quintile experienced a more than two-fold increased risk of SCD, and more than three-fold increased risk of heart failure death than patients in the highest quintile, which accounted for the high incidence of combined cardiovascular events. Low homoarginine showed a trend towards increased risk of stroke, however, myocardial infarction was not meaningfully affected. Conclusion Low homoarginine is a strong risk factor for SCD and death due to heart failure in haemodialysis patients. Further studies are needed to elucidate the underlying mechanisms, offering the potential to develop new interventional strategies. KW - Homoarginine KW - Sudden cardiac death KW - Heart failure KW - Amino acids KW - Haemodialysis Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-140495 VL - 13 IS - 8 ER - TY - JOUR A1 - Carsten A., Böger A1 - Gorski, Mathias A1 - Li, Man A1 - Hoffmann, Michael M. A1 - Huang, Chunmei A1 - Yang, Qiong A1 - Teumer, Alexander A1 - Krane, Vera A1 - O'Seaghdha, Conall M. A1 - Kutalik, Zoltán A1 - Wichmann, H.-Erich A1 - Haak, Thomas A1 - Boes, Eva A1 - Coassin, Stefan A1 - Coresh, Josef A1 - Kollerits, Barbara A1 - Haun, Margot A1 - Paulweber, Bernhard A1 - Köttgen, Anna A1 - Li, Guo A1 - Shlipak, Michael G. A1 - Powe, Neil A1 - Hwang, Shih-Jen A1 - Dehghan, Abbas A1 - Rivadeneira, Fernando A1 - Uitterlinden, André A1 - Hofman, Albert A1 - Beckmann, Jacques S. A1 - Krämer, Bernhard K. A1 - Witteman, Jacqueline A1 - Bochud, Murielle A1 - Siscovick, David A1 - Rettig, Rainer A1 - Kronenberg, Florian A1 - Wanner, Christoph A1 - Thadhani, Ravi I. A1 - Heid, Iris M. A1 - Fox, Caroline S. A1 - Kao, W.H. T1 - Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD JF - PLoS Genetics N2 - Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR < 60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression. KW - Chronic Kidney-disease KW - Stage renal-disease KW - Glomerular-filtration-rate KW - Diabetic-nephropathy KW - General-population KW - African-americans KW - Risk KW - Progression KW - Mortality KW - Variants Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-133758 VL - 7 IS - 9 ER - TY - JOUR A1 - Kistler, Andreas D. A1 - Siwy, Justyna A1 - Frank, Breunig A1 - Jeevaratnam, Praveen A1 - Scherl, Alexander A1 - Mullen, William A1 - Warnock, David G. A1 - Wanner, Christoph A1 - Hughes, Derralynn A. A1 - Mischak, Harald A1 - Wüthrich, Rudolf P. A1 - Serra, Andreas L. T1 - A Distinct Urinary Biomarker Pattern Characteristic of Female Fabry Patients That Mirrors Response to Enzyme Replacement Therapy JF - PLoS ONE N2 - Female patients affected by Fabry disease, an X-linked lysosomal storage disorder, exhibit a wide spectrum of symptoms, which renders diagnosis, and treatment decisions challenging. No diagnostic test, other than sequencing of the alpha-galactosidase A gene, is available and no biomarker has been proven useful to screen for the disease, predict disease course and monitor response to enzyme replacement therapy. Here, we used urine proteomic analysis based on capillary electrophoresis coupled to mass spectrometry and identified a biomarker profile in adult female Fabry patients. Urine samples were taken from 35 treatment-naive female Fabry patients and were compared to 89 age-matched healthy controls. We found a diagnostic biomarker pattern that exhibited 88.2% sensitivity and 97.8% specificity when tested in an independent validation cohort consisting of 17 treatment-naive Fabry patients and 45 controls. The model remained highly specific when applied to additional control patients with a variety of other renal, metabolic and cardiovascular diseases. Several of the 64 identified diagnostic biomarkers showed correlations with measures of disease severity. Notably, most biomarkers responded to enzyme replacement therapy, and 8 of 11 treated patients scored negative for Fabry disease in the diagnostic model. In conclusion, we defined a urinary biomarker model that seems to be of diagnostic use for Fabry disease in female patients and may be used to monitor response to enzyme replacement therapy. KW - Chronic kidney-disease KW - Onset hypertrophic cardiomyopathy KW - Mass-spectrometry KW - Alpha-galactosidase KW - Hemodialysis-patients KW - Clinical proteomics KW - Young-patients KW - Discovery KW - Globotriaosylceramide KW - Prevalence Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-133526 VL - 6 IS - 6 ER - TY - JOUR A1 - Allignol, Arthur A1 - Schumacher, Martin A1 - Wanner, Christoph A1 - Drechsler, Christiane A1 - Beyersmann, Jan T1 - Understanding competing risks: a simulation point of view JF - BMC Medical Research Methodology N2 - Background: Competing risks methodology allows for an event-specific analysis of the single components of composite time-to-event endpoints. A key feature of competing risks is that there are as many hazards as there are competing risks. This is not always well accounted for in the applied literature. Methods: We advocate a simulation point of view for understanding competing risks. The hazards are envisaged as momentary event forces. They jointly determine the event time. Their relative magnitude determines the event type. 'Empirical simulations' using data from a recent study on cardiovascular events in diabetes patients illustrate subsequent interpretation. The method avoids concerns on identifiability and plausibility known from the latent failure time approach. Results: The 'empirical simulations' served as a proof of concept. Additionally manipulating baseline hazards and treatment effects illustrated both scenarios that require greater care for interpretation and how the simulation point of view aids the interpretation. The simulation algorithm applied to real data also provides for a general tool for study planning. Conclusions: There are as many hazards as there are competing risks. All of them should be analysed. This includes estimation of baseline hazards. Study planning must equally account for these aspects. KW - Cumulative incidence function KW - Clinical-trials KW - Sample-sizes KW - Regression KW - Subdistribution KW - Hazards KW - Model KW - Probabilities KW - Tests Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-142811 VL - 11 IS - 86 ER -