Hepatitis B vaccination in haemodialysis patients: a randomized clinical trial. 2009

Marilene Bock, and Elvino Barros, and Francisco J V Veronese
Graduate Program in Medical Sciences-Nephrology, Nephrology Division, Hospital de ClĂ­nicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

OBJECTIVE A short vaccination protocol against hepatitis B was compared to the standard approach in patients under haemodialysis who were primarily non-responsive to the vaccine. METHODS This randomized, controlled open trial included 51 chronic haemodialysis subjects previously vaccinated against hepatitis B and with anti-HBs levels of less than 10 IU/mol/L. Twenty-six patients received 20 microg i.m. once a week for 8 weeks (short protocol) and 25 subjects three doses of 40 microg i.m. at months 0, 1 and 6 (standard protocol). Clinical and laboratory data were compared between responders and non-responders. A logistic regression model included selected parameters to assess risk factors for non-seroconversion. RESULTS Seroconversion rates to vaccine at 2 months were 80% and 78% in the short and standard protocol groups, respectively (P = 0.99). Median of anti-HBs levels were similar up to 6 months of follow up, but patients in the standard protocol showed a trend to higher anti-HBs in month 3 and a more steady decline in antibody titres. Non-responders were older, had longer duration of dialysis and a higher prevalence of a prior renal transplant and hepatitis C. In multivariate analysis, only advanced age and hepatitis C remained independently associated with non-responsiveness to vaccination. CONCLUSIONS In haemodialysis patients, a short vaccination protocol against hepatitis B did not provide any benefit compared to the standard approach with respect to peak anti-HBs titres or a higher rate of seroprotection at the end of follow up. Other strategies to increase seroconversion rates should be explored, especially in the elderly and in patients with hepatitis C.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D005260 Female Females
D006435 Renal Dialysis Therapy for the insufficient cleansing of the BLOOD by the kidneys based on dialysis and including hemodialysis, PERITONEAL DIALYSIS, and HEMODIAFILTRATION. Dialysis, Extracorporeal,Dialysis, Renal,Extracorporeal Dialysis,Hemodialysis,Dialyses, Extracorporeal,Dialyses, Renal,Extracorporeal Dialyses,Hemodialyses,Renal Dialyses
D006510 Hepatitis B Antibodies Antibodies to the HEPATITIS B ANTIGENS, including antibodies to the surface (Australia) and core of the Dane particle and those to the "e" antigens. Anti-Australia Antigens,Anti-HBAg,Anti-Hepatitis B Antigens,Anti HBAg,Hepatitis B Virus Antibodies,Anti Australia Antigens,Anti Hepatitis B Antigens,Antibodies, Hepatitis B,Antigens, Anti-Australia,Antigens, Anti-Hepatitis B,B Antibodies, Hepatitis,B Antigens, Anti-Hepatitis,HBAg, Anti
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D014611 Vaccination Administration of vaccines to stimulate the host's immune response. This includes any preparation intended for active immunological prophylaxis. Immunization, Active,Active Immunization,Active Immunizations,Immunizations, Active,Vaccinations
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic

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