Publication | Open Access
Response to active hepatitis B vaccination and mortality in incident dialysis patients
46
Citations
21
References
2017
Year
DialysisHepatitis BDialysis TherapyGlomerulonephritisViral HepatitisChronic Kidney DiseaseRenal Replacement TherapyHemodialysisKidney FailureAustrian Dialysis CentersEpidemiologyVaccination ResponseVaccinationIncident Dialysis PatientsHepatitisPrecision VaccinologyAcute Liver FailureVaccine EfficacyMedicineNephrology
All patients with advanced chronic kidney disease or on renal replacement therapy should receive active hepatitis B vaccination. The aim of this retrospective cohort study was to investigate the association between the immune response to hepatitis B vaccination and all-cause, cardiovascular or infection-related mortality in incident dialysis patients starting dialysis between 2001 and 2008 (n=426) in two Austrian dialysis centers. Vaccination response was defined as follows: absent anti-HBs antibody titer or a titer <10IU/L was classified as non-response, seroconversion (SC) was defined as a titer ⩾10IU/L, and seroprotection (SP) as a titer ⩾100IU/L. Kaplan-Meier survival curves and multivariable adjusted Cox Proportional Hazards Models were used to determine the association between vaccination response and all-cause, cardiovascular and infection-related mortality. Of all patients 207 (48.6%) were non-responders, SC was observed in 219 (51.4%), SP in 118 (27.7%) patients. During a median follow-up of 51.2 months 228 (53.5%) patients died. Patients with SP and SC showed a significantly lower all-cause (p<0.001 for both) and cardiovascular mortality (p=0.006 for SP, p=0.01 for SC). SP and SC were independently associated with a significant risk reduction for all-cause mortality (SP: HR 0.69, 95% CI 0.49-0.97, p=0.03; SC: HR 0.72, 95% CI 0.55-0.95, p=0.02). In conclusion, achieving seroconversion and seroprotection after active hepatitis B vaccination is associated with significantly reduced all-cause mortality in incident dialysis patients. This simple and readily available tool allows estimation of patient survival independently of other well-known key parameters such as age, gender, the presence of diabetes and markers of malnutrition and inflammation.
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