@article{AllignolSchumacherWanneretal.2011, author = {Allignol, Arthur and Schumacher, Martin and Wanner, Christoph and Drechsler, Christiane and Beyersmann, Jan}, title = {Understanding competing risks: a simulation point of view}, series = {BMC Medical Research Methodology}, volume = {11}, journal = {BMC Medical Research Methodology}, number = {86}, doi = {10.1186/1471-2288-11-86}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-142811}, pages = {1-13}, year = {2011}, abstract = {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.}, language = {en} } @article{DrechslerMeinitzerPilzetal.2011, author = {Drechsler, Christiane and Meinitzer, Andreas and Pilz, Stefan and Krane, Vera and Tomaschitz, Andreas and Ritz, Eberhard and M{\"a}rz, Winfried and Wanner, Christoph}, title = {Homoarginine, heart failure, and sudden cardiac death in haemodialysis patients}, series = {European Journal of Heart Failure}, volume = {13}, journal = {European Journal of Heart Failure}, number = {8}, doi = {10.1093/eurjhf/hfr056}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-140495}, pages = {852-859}, year = {2011}, abstract = {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.}, language = {en} } @article{KistlerSiwyFranketal.2011, author = {Kistler, Andreas D. and Siwy, Justyna and Frank, Breunig and Jeevaratnam, Praveen and Scherl, Alexander and Mullen, William and Warnock, David G. and Wanner, Christoph and Hughes, Derralynn A. and Mischak, Harald and W{\"u}thrich, Rudolf P. and Serra, Andreas L.}, title = {A Distinct Urinary Biomarker Pattern Characteristic of Female Fabry Patients That Mirrors Response to Enzyme Replacement Therapy}, series = {PLoS ONE}, volume = {6}, journal = {PLoS ONE}, number = {6}, doi = {10.1371/journal.pone.0020534}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-133526}, pages = {e20534}, year = {2011}, abstract = {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.}, language = {en} } @article{CarstenAGorskiLietal.2011, author = {Carsten A., B{\"o}ger and Gorski, Mathias and Li, Man and Hoffmann, Michael M. and Huang, Chunmei and Yang, Qiong and Teumer, Alexander and Krane, Vera and O'Seaghdha, Conall M. and Kutalik, Zolt{\´a}n and Wichmann, H.-Erich and Haak, Thomas and Boes, Eva and Coassin, Stefan and Coresh, Josef and Kollerits, Barbara and Haun, Margot and Paulweber, Bernhard and K{\"o}ttgen, Anna and Li, Guo and Shlipak, Michael G. and Powe, Neil and Hwang, Shih-Jen and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andr{\´e} and Hofman, Albert and Beckmann, Jacques S. and Kr{\"a}mer, Bernhard K. and Witteman, Jacqueline and Bochud, Murielle and Siscovick, David and Rettig, Rainer and Kronenberg, Florian and Wanner, Christoph and Thadhani, Ravi I. and Heid, Iris M. and Fox, Caroline S. and Kao, W.H.}, title = {Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD}, series = {PLoS Genetics}, volume = {7}, journal = {PLoS Genetics}, number = {9}, doi = {10.1371/journal.pgen.1002292}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-133758}, pages = {e1002292}, year = {2011}, abstract = {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.}, language = {en} }