SexHD
Transcript of SexHD
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Sex-specific association of time-varying haemoglobin values
with mortality in incident dialysis patients
Gisela Sturm1, Claudia Lamina1, Emanuel Zitt2, Karl Lhotta2,3, Friederike Lins3,Otto
Freisttter3
, Ulrich Neyer2,3,*
and Florian Kronenberg1,*
1 Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology,
Innsbruck Medical University, Schpfstr. 41, 6020 Innsbruck, Austria 2Department of Nephrology and Dialysis,
Academic Teaching Hospital Feldkirch, Carinagasse 47, 6800 Feldkirch, Austria 3 Vorarlberg Institute for Vascular
Investigation and Treatment (VIVIT), Carinagasse 47, 6800 Feldkirch, Austria
Florian Kronenberg; E-mail: [email protected]
Abstract
Background. Previous studies in dialysis patients showed anassociation between
haemoglobin levels and all-cause mortality,however, without addressing sex
differences.
Methods. We followed up 235 incident dialysis patients of the region of Vorarlberg in
a prospective cohort study applyinga time-dependent Cox regression analysis using
all the measuredlaboratory values for up to more than 7 years. In total, 12242
haemoglobin measurements with a median of 47 (range 3270)per patient were
available to evaluate the impact of haemoglobinlevels and their variability on all-
cause mortality in a sex-stratifiedanalysis. Non-linear P-splines were used to allow a
flexiblemodelling of the association with mortality.
Results. We observed an inverse relationship between the increasinghaemoglobin
values and the decreasing risk of mortality. Thelinear component of the non-linear
spline was highly significantfor both men (P = 0.00005) and women (P =
0.0000000052). Thenon-linear component was also significant but less
pronounced
than the linear component. The inverse relationship was clear
to seehaemoglobin levels of up to 1213 g/L in women,which reached a plateau for the
higher values of haemoglobin.For men, an inverse trend was observed but clearly
attenuatedwhen compared to women. After adjustment for additional parametersof
inflammation and malnutrition as well as diabetes, the linearcomponent was more
significant in women (P = 0.0018) than inmen (P = 0.023).
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Conclusions. This study applied for the first time a time-dependentCox regression
analysis over a long-term observation periodof several years using all available
measurements. Besides themethodological advantages, our data indicate a sex-
specificlinear as well as non-linear effect of haemoglobin levels onall-cause
mortality, which was markedly more pronounced in women.
Keywords: end-stage renal disease; haemoglobin; mortality; prospective
observational study; time-dependent Cox regression