1 RESEARCH ARTICLE Open Access Association of response to hepatitis B vaccination and survival in dialysis patients 2 3 4 Shih-Yi Lin1,2, Jiung-Hsiun Liu2,3, Shu-Ming Wang2,3, I-Kuan Wang1,2,3, Chen-An Tsai4, Yao-lung Liu2,3*, 5 Hsin-Hung Lin1,2, Chiz-Chung Chang2,3 and Chiu-Ching Huang2,3 6 Abstract 7 Background: The status of immunocompromised patients is well recognized in end stage renal disease (ESRD). As 8 described recently, this acquired immune dysfunction in the uremic milieu may be one of the main pathogenic 9 factors for mortality in ESRD. The aim of this study was to determine the relationship between the immune 10 response following a hepatitis B vaccination (HBV vaccination) and the survival of maintenance dialysis patients. 11 Methods: A total of 156 patients (103 on hemodialysis and 53 on continuous ambulatory peritoneal dialysis) were 12 recruited. After receiving a full dose of the HBV vaccination, all patients were followed up for to 5 years to evaluate 13 the association of patient survival, cause of mortality, and immune response. 14 Results: The response rate to the hepatitis B vaccination was 70.5%. There was no significant association between 15 the immune response and the 5-year survival rate (p =0.600) or between the post-vaccination anti-HBs titers and 16 the 5-year survival rate (p = 0.201). The logistic prediction model with the coefficient as non-response following HBV 17 vaccination, diabetes mellitus, old age, and low albumin level could significantly predict infection-cause mortality 18 (sensitivity = 0.842, specificity = 0.937). 19 Conclusion: There was no significant association between the immune response to HBV vaccination and the 5-year 20 survival rate. However, non-response following HBV vaccination might be associated with infection-cause mortality 21 in dialysis patients. 22 Keywords: Hepatitis B vaccination, Immune response, Post-vaccination anti-HBs titers 23 Background 24 End-stage 25 the renal disease (ESRD) significantly increases risk of mortality and morbidity. The leading cause of 26 death in ESRD is cardiovascular disease (CVD), which 27 accounts 28 with for more than half of deaths in uremic patients, infection the second leading cause [1,2]. Previous 29 studies 30 thelial have investigated the relationships among endo- dysfunction, inflammation, and atherosclerotic 31 vascular 32 related disease in chronic kidney disease [3,4]. Uremic- inflammation, which commonly occurs during 33 pre-dialysis 34 regarded 35 and and persists even after dialysis, is now as an important predictor of cardiovascular all-cause mortality in the ESRD population [5]. Currently, it is speculated that acquired immune dys- 36 function in the uremic milieu may be one of the main 37 pathogenic factors, mediated through CVD and infec- 38 tions, in most ESRD-related deaths. Concomitant im- 39 munosuppression and immune activation in uremia 40 would predispose patients to infection and CVD, re- 41 spectively [6]. 42 Although it is well established that aging, diabetes 43 mellitus (DM), and the presence of co morbid conditions 44 predict a poor prognosis in ESRD, few studies have 45 investigated immune dysregulation as a determinant of 46 mortality in ESRD [7]. Furthermore, acquired immune 47 dysfunction in uremic patients has various clinical fea- 48 tures, ranging from proness to infection to impaired im- 49 mune response to vaccinations. The aim of our study 50 was to link the clinical immune parameter, immune re- 51 sponse and anti-HBs titers one month following HBV 52 vaccination with mortality in ESRD populations. 53 * Correspondence: liuyaolung@yahoo.com 2Division of Nephrology and Kidney institute, China Medical University Hospital, Taichung, Taiwan 3School of Medicine, China Medical University, Taichung, Taiwan Full list of author information is available at the end of the article © 2012 Lin et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Lin et al. BMC Nephrology 2012, 13:97 http://www.biomedcentral.com/1471-2369/13/97 54 Methods 55 This clinical study complied with the Declaration of Hel- 56 sinki and was approved by the Medical Ethics Commit- 57 tee of the China Medical University Hospital, Taichung 58 (Taiwan, 59 This ROC). was a retrospective study of ESRD patients who 60 underwent 61 China dialysis therapy at the dialysis unit of the Medical University Hospital (Taichung, Taiwan) 62 from March 63 up 2002 to March 2008 and who were followed until March 2009. 64 The HBV vaccine was offered to all patients who 65 tested 66 and negative for the HBV surface antigen (HBs Ag) anti-HBs and who had not previously received the 67 HBV vaccination. We excluded patients who had malig- 68 nancies, 69 or who were receiving immunosuppressive agents, who did not receive all four vaccinations. All patients 70 were given four doses (40 μg per dose) of the hepatitis B 71 vaccine (Engerix-B, GlaxoSmithKline Biologicals, Phila- 72 delphia, USA) in the deltoid muscles at 0, 1, 2, and 73 6 months. Anti-HBs titers were measured by an ELISA 74 kit (AUSAB-EIA, Abbot Labs, Chicago, USA) one month 75 after 76 We 77 to the final dose and annually thereafter. defined responders and non-responders according the level of anti-HBs one month after the final injec- 78 tion (non-responders: < 10 IU/L; responders: ≥ 10 IU/L). 79 These patients were followed up to assess the relation- 80 ship between the initial immune response to vaccination 81 and the 5-year-survival. In addition, over the 5-year fol- 82 low-up period, we assessed the effect of one-month 83 post-vaccination 84 To anti-HBs titers on survival. determine the factors related to HBs antibody for- 85 mation following vaccination, we recorded the patient age, 86 gender, presence of diabetes mellitus (DM), hemoglobin, 87 serum albumin, 88 sugar, triglyceride, cholesterol, fasting blood presence of hepatitis C antibodies, and dialysis mo- 89 dality at the initiation of vaccination [8-10]. 90 Statistical analysis 91 All statistical tests were performed with SPSS (version 92 15.0). 93 cant. 94 test A P value < 0.05 was considered statistically signifi- For categorical variables, we used the Chi-squared and presented data as absolute numbers or percen- 95 tages. For continuous variables, we used Student’s t-test 96 and presented the data as means ± standard deviations. 97 The Cox regression model was used to investigate the as- 98 sociation between seroconversion and mortality and the 99 relationship between post-vaccination anti-HBs titers 100 and mortality. 101 We adjusted for age, level of albumin, presence of 102 DM, dialysis modality, and gender to determine the 103 adjusted hazard ratios with the immune response to 104 mortality. 105 We adapted the logistic regression model as fol- 106 lows: β0+ β1*Non-response + β2*(presence of DM)+ β3*Age+β4*Albumin+β5*(presence of DM)*Albumin + 107 β6*Age*Albumin. We used this equation to evaluate 108 the effects of non-response, diabetes mellitus, age, 109 and the level of albumin in predicting mortality due 110 to infection. 111 Results 112 A total of 156 patients (64 males, 92 females) were 113 recruited, with 110 responders and 46 non-responders 114 (Table 1). Mean ages were higher for non-responders 115 T1 (62.63 ± 9.95 years) than for responders (55.75 ± 14.31 years, 116 P = 0.003). The prevalence of diabetes or anti-HBV vaccin- 117 ation at the start of the study was 32.0%. 118 Univariate analysis indicated no significant differences 119 between responders and non-responders in terms of gen- 120 der, presence of DM, presence of hepatitis C antibodies, 121 hemoglobin, albumin, dialysis modality, triglyceride, 122 cholesterol, and several other relevant factors (Table 1). 123 By the time of the 5-year follow up, 35 patients had died. 124 The most common cause of death was infection (54.3%; 125 19 patients, including 8 cases of severe pneumonia, 4 126 cases of peritonitis, 2 cases of infective endocarditis, and 127 1 case of either meningitis, diabetic foot infection, septic 128 arthritis, urosepsis, and septicemia), followed by cardio- 129 vascular events (25.7%, 9 patients), gastrointestinal bleed- 130 ing (5.7%, 2 patients), gastrointestinal perforation (5.7%, 131 2 patients), and others (8.6%, 3 patients). By the end of 132 the study, the prevalence of DM in all available subjects 133 (including those that died during the study) was 30%, but 134 the impact of DM on the loss of anti-HBs Ab was not 135 significant (p = 0.308). 136 We followed up on all patients after the vaccination to 137 investigate the association between seroconversion and 138 mortality. Figure 1 shows that there was no significant 139 F1 survival difference for responders and non-responders 140 (P = 0.297). A Cox regression analysis, which considered 141 patient age, presence of DM, initial serum albumin 142 Table 1 Baseline characteristics of HBV vaccine t1:1 responders and non-responders t1:2 Characteristic Non-responders Responders P value t1:3 Number of pts. 46 110 t1:4 Age 62.63 ± 9.95 55.75 ± 14.31 0.003 t1:5 Gender(M/F) 17/29 47/63 0.507 t1:6 DM 19 31 0.111 t1:7 HCV infection 9 (19.6%) 15 (13.6%) 0.353 t1:8 Hemoglobin(g/dL) 9.49 ± 1.42 9.55 ± 1.38 0.786 t1:9 Albumin(g/dL) 3.47 ± 0.37 3.50 ± 0.39 0.696 t1:10 Dialysis modality (HD:PD) 31:15 72:38 0.817 t1:11 Cholesterol(mg/dL) 184.71 ± 50.07 181.33 ± 42.66 0.669 t1:12 Triglyceride(mg/dL) 187.93 ± 131.87 176.58 ± 124.46 0.610 t1:13 Note: data are shown as the number (%) or mean ± SD, as appropriate. t1:14 Abbreviations: M, male; F, female. t1:15 Lin et al. BMC Nephrology 2012, 13:97 Page 2 of 7 http://www.biomedcentral.com/1471-2369/13/97 143 levels, seroconversion after HBV vaccination, dialysis 144 modality, and gender, showed that advanced age and 145 malnutrition were associated with increased mortality T2 146 (P = 0.035 and P = 0.032, respectively) (Table 2). 147 We also evaluated the association between one-month 148 post-vaccination 149 was no significant survival difference between immune 150 sustainers 151 analysis 152 min 153 p anti-HBs titers and mortality. There and non-sustainers (P = 0.201). Cox regression indicated that only age and low levels of albu- were associated with mortality (p = 0.04 and = 0.032, respectively). 154 The predictive model of mortality due to infection in 155 dialysis 156 age, patients demonstrated that non-response, DM, and low levels of albumin all predicted significantly T3 157 higher mortality rates due to infection (Table 3). This 158 model performs well and has high sensitivity and high 159 specificity (sensitivity = 0.842, specificity = 0.938, positive 160 predictive values = 0.941, negative predictive value = 0.833). The area under the ROC curve (AUC) provides 161 an overall measure of the model’s classification accuracy, 162 with a value of one representing perfect accuracy. The 163 ROC curve shows a high capacity for discriminating 164 infection-cause mortality vs. non-infection cause mortal- 165 ity, with an AUC = 0.9112 (Figure 2). The immune re- 166 F2 sponse following HBV vaccination and other co-factors 167 were not associated with CV mortality (data not shown). 168 Discussion 169 In this study, we showed that the seroconversion rate of 170 our dialysis patients was 70.5% after four double doses 171 (40 μg per dose) of the hepatitis B vaccine administered 172 over 6 months. We also found that responders were 173 Figure 1 Cumulative survival of HBV vaccine responders and non-responders over 5 years. t2:1 Table 2 Cox proportional hazards regression of immune t2:2 response to HBV vaccination and mortality t2:3 Parameter P- value t2:4 Age 0.035 t2:5 Modality 0.210 t2:6 Seroconversion of HBV vaccination 0.600 t2:7 Albumin 0.032 t2:8 Gender 0.060 t2:9 Diabetes Mellitus 0.670 Table 3 The predictive model of infection-cause mortality t3:1 in dialysis patients Logit (probability of infection-cause t3:2 mortality) =β0 + β1*Retiter + β2*DM+ β3*Age + t3:3 β4*Albumin + β5*DM*Albumin + β6*Age*Albumin t3:4 Covariates Coefficient p-value t3:5 Intercept 143.4122 0.0232 t3:6 Seroconversion t3:7 following t3:8 HBV vaccination t3:9 −4.7392 0.0068 Presence of DM −5.3569 0.0084 t3:10 Age −1.9758 0.3333 t3:11 Albumin −40.2689 0.0234 t3:12 DM*Albumin 13.1720 0.0089 t3:13 Age*Albumin 0.5699 0.0317 t3:14 Lin et al. BMC Nephrology 2012, 13:97 Page 3 of 7 http://www.biomedcentral.com/1471-2369/13/97 174 significantly younger than non-responders (P = 0.003). 175 Seroconversion to HBV vaccination and one-month 176 post-vaccination 177 mortality in 178 adjusting 179 sis anti-HBs titers did not predict all-cause our maintenance dialysis patients. After for age, DM, albumin levels, gender, and dialy- modality, non-seroconversion following HBV vaccin- 180 ation could independently predict mortality due to 181 infection in ESRD dialysis patients. This novel and inter- 182 esting finding demonstrates the possible relationship be- 183 tween the vaccination response and the specific cause of 184 mortality in ESRD patients. 185 Our study dialysis subjects displayed a similar subopti- 186 mal immune response to patients in previous studies. In 187 ESRD patients, the response rate to HBV vaccination is 188 approximately 189 response 50%–80%, which is lower than the 90% rate in the general population, with advanced 190 age being a significant negative factor associated with 191 this poor immune response [11-13]. Numerous factors 192 associated with the impaired immune response following 193 HBV vaccination in ESRD, such as age, albumin levels, 194 HCV infection, and gender, have been well studied [8- 195 10,13]. Current studies have focused on the insufficient 196 acquired immunity due to uremia to account for the 197 suboptimal 198 [14]. response rates following HBV vaccination Recent studies have proposed that the immunodefi- 199 ciency in ESRD results from the impaired function of 200 antigen-presenting 201 weakened 202 ance cells, alteration of toll-like receptors, activation of T lymphocytes, and the imbal- of T-helper lymphocytes (Th 1/Th 2 ratio) [14-16]. In the present study, we demonstrated that DM, age, 203 low albumin levels, and non-response following HBV 204 vaccination could predict mortality due to infection. 205 Several negative determinants of mortality in ESRD, 206 such as old age, DM, and malnutrition, have been docu- 207 mented [7]. Immune dysfunction in uremia is also 208 recognized as a determinant of mortality. However, our 209 findings are important because they demonstrate a link 210 between infection-cause mortality and insufficient im- 211 mune responses to HBV vaccination in ESRD, since 212 these two clinical presentations involve homogenous but 213 varied interactions between the immune, innate immune 214 and the adaptive immune systems. A recent review indi- 215 cated that in dialysis patients innate immunity plays an 216 important role in fighting infections, while acquired im- 217 munity (via antibody production) also makes a signifi- 218 cant contribution [14]. We therefore hypothesize that T 219 cell dysfunction may be the main link between the high 220 mortality due to infection and the insufficient antibody 221 response to vaccination in ESRD patients. Impaired 222 cytotoxic CD8 T cell response limits the fight of the 223 infected host defense system against the pathogens, 224 while the inadequate function of helper CD4 T cells 225 weakens the humoral immune system. The results of 226 studies by Alvarez-lara et al. and Meier P et al. support 227 this hypothesis, finding increased apoptosis of T cells in 228 uremia [17-19]. An alternative interpretation is that the 229 key linking factor between high mortality due to infec- 230 tion and the impaired vaccination response lies upstream 231 Sensitivity: 0.8421 ; Specificity: 0.9375 PPV: 0.9412 ; NPV: 0.8333 Figure 2 The ROC curve shown used to examine the performance of logistic regression model. Lin et al. BMC Nephrology 2012, 13:97 Page 4 of 7 http://www.biomedcentral.com/1471-2369/13/97 232 of T-cell activation, i.e., the pattern of recognition and 233 the antigen presenting cell or secondary dysregulation or 234 activation 235 It of cytokines [6,14,20]. has been proposed that both the innate and acquired 236 immune systems may play a role in the progression of 237 atherosclerosis, the major pathogenic factor responsible 238 for most deaths in ESRD patients [21]. Interestingly, we 239 did not find an association between seroconversion and 240 all-cause 241 cause mortality in dialysis patients. The correlations 242 among 243 tions, persistent inflammation, CVD, immune dysfunc- and infections in ESRD have become apparent in 244 recent years [5,6,22-24]. 245 Chronic 246 and mortality or between seroconversion and CV- inflammation as a result of hypercytokinemia an imbalance in the pro-inflammatory to anti- 247 inflammatory ratio 248 [25]. The dysregulation of various cytokines due to the 249 uremia milieu may link inflammation-atherosclerosis to 250 impaired 251 [14]. 252 and 253 et has been well recognized in ESRD immunity inflammation in dialysis patients Several studies have attempted to link the levels types of cytokines with clinical outcomes. Girndt al. determined that higher levels of IL-6 and TNF-α 254 correlated with an immunocompromised status, that is, 255 non-seroconversion 256 [26]. Kimmel et al. assessed immune parameters such as 257 cytokines 258 up. in 230 HD patients, with a three-year follow Their results showed that increased levels of IL-6, 259 TNF-α, IL-1, and IL-13 correlated with a higher relative 260 mortality risk. 261 and to HBV vaccinations in HD patients High levels of IL-2, IL-4, IL-5, and IL-12, T cell functions were associated with survival in HD 262 patients. 263 tality in 264 tions The authors did not analyze the causes of mor- their patients or further investigate the associa- between the causes of mortality and cytokines. 265 Interestingly, they noted that the patterns of cytokines 266 involved may be more important than the individual 267 cytokine levels in interpreting survival outcomes [27]. 268 Among the other studies on cytokines’ ability to pre- 269 dict mortality in ESRD, the study by Badiou et al. mea- 270 sured levels of both pro-inflammatory cytokines and 271 anti-inflammatory cytokines 272 found 273 ity. in 134 HD patients and that IL-6 levels could strongly predict CV mortal- In addition, (IL-4+ IL-6+ IL-10)/(IL-2 + IFN-γ) was 274 associated 275 lated that examination of the Th1/Th2 cytokine relation 276 might 277 [28]. be more relevant for predicting non-CV mortality These findings indicate that the laboratory immune 278 parameter, 279 implies 280 ical with non-CV mortality. The authors specu- especially the Th1/Th2 cytokine ratio that defective immunity, may be able to predict clin- outcomes. The clinical immune parameters and the 281 immune response following HBV vaccination may be 282 able to correlate with mortality in ESRD patients. 283 The study by Fernandez et al. of 64 HD patients noted 284 that low levels of albumin negatively influenced the re- 285 sponse to HBV vaccination. In the study’s survival analysis of 31 patients, non-responders had higher mor- 286 tality and morbidity [29]. The authors did not adjust for 287 albumin levels or age in the survival analysis of these 288 HD subjects. However, our Cox regression survival ana- 289 lysis of 156 dialysis patients reveals that only old age and 290 low levels of albumin have significantly higher mortality 291 but that non-response following HBV vaccination did 292 not. Since low albumin levels are recognized as an inde- 293 pendent factor of mortality in ESRD [30], we speculate 294 that low albumin levels account for the concomitant 295 impaired immune response following HBV vaccination 296 and increased mortality in the Fernandez et al. study. 297 The Kimmel et al. study suggests that better T cell 298 function and humoral immunity are associated with a 299 survival advantage in HD patients [27]. Unlike the pre- 300 dictive value of the cytokine ratio on mortality men- 301 tioned above, our study demonstrated no significant 302 relationship between the clinical immune response fol- 303 lowing HBV vaccination and all-cause mortality. The 304 levels and types of cytokines in dialysis patients were 305 the result of the interacting influences of residual renal 306 function, dialysis adequacy, comorbidity, and current 307 treatment [31]. Our dialysis patients received HBV vac- 308 cinations at the initiation of renal replacement therapy. 309 Some of our study subjects, especially the PD patients, 310 retained some residual renal function, which would 311 affect the immune response to HBV vaccinations. In 312 the Badiou et al. and Kimmel et al. studies, the levels 313 of circulating cytokines (either Th1 or Th2-related) 314 were significantly higher in the HD patients than in 315 the control patients [27,28]. The effects of these un- 316 usual levels of circulating cytokines may not correlate 317 well with their baseline local immunological functions 318 [31]. These circulating cytokines may operate in a 319 more sophisticated pathophysiologic network, causing 320 erythropoietin resistance, hypoalbuminemia, frailty, ath- 321 erosclerosis, and dyslipidemia [31,32]. Therefore, the 322 clinical outcomes, survival and immune response fol- 323 lowing HBV vaccination may be the diverse results of 324 the differing interactions of various cytokines at spe- 325 cific cellular, organ, and system targets. We therefore 326 could not determine whether a direct association exists 327 between seroconversion and all-cause mortality in dia- 328 lysis patients despite the well-recognized immunodefi- 329 ciency, hypercytokinemia, and high mortality in ESRD 330 populations [1,14,24,33,34]. 331 We did not check the antibody of the core HBV anti- 332 gen (anti-HBc). The finding of a positive anti-HBc in the 333 absence of HBs Ag or anti-HBs is relatively uncommon 334 [35]. Chen et al. found that the responsiveness rates of 335 the hepatitis B vaccination were the same between iso- 336 lated anti-HBc positive and normal subjects [36]. 337 We recognize that our study has certain limitations, 338 such as the relatively small number of dialysis patients 339 Lin et al. BMC Nephrology 2012, 13:97 Page 5 of 7 http://www.biomedcentral.com/1471-2369/13/97 340 included 341 tality. to determine the infection-based and CV mor- Moreover, infection was the leading cause of mor- 342 tality among our study subjects, despite being the 343 second 344 as leading cause of deaths in the ESRD population a whole. The immune status of dialysis patients may 345 change after losing residual renal function. The results 346 of our study need to be replicated in prospective studies 347 of using larger populations of chronic, stable dialysis 348 patients. 349 Conclusions 350 In conclusion, we demonstrated that non-response fol- 351 lowing HBV vaccination might be associated with 352 infection-cause 353 ever, the clinical immune response following HBV vac- 354 cination 355 in mortality in our dialysis patients. How- would not be associated with all-cause mortality our dialysis patients. 356 Competing interests 357 The authors declare that they have no competing interests. 358 Authors’ contributions 359 SL carried out the data collection and drafted the manuscript. JL, SW, and I 360 W participated in the design of the study. CT, HL, CC, and CH performed the 361 statistical analysis. YL conceived of the study, and participated in its design 362 and coordination. All authors read and approved the final manuscript. 363 Author details 364 1Graduate Institute of Clinical Medical Science, College of Medicine, China 365 Medical University, Taichung, Taiwan. 2Division of Nephrology and Kidney 366 institute, China Medical University Hospital, Taichung, Taiwan. 3School of 367 Medicine, China Medical University, Taichung, Taiwan. 4Department of 368 Agronomy, National Taiwan University, Taipei, Taiwan. 369 Received: 24 October 2011 Accepted: 27 August 2012 370 Published: 30 August 2012 371 References 372 1. Collins AJ: Cardiovascular mortality in end-stage renal disease. Am J Med 373 Sci 2003, 325:163–167. 374 2. Sarnak MJ, Laber BL: Mortality caused by sepsis in patients with 375 end-stage renal disease compared with the general population. Kidney 376 Int 2000, 58:1758–1764. 377 3. Cleland SJ, Sattar N, Petrie JR, Forouhi NG, Elliott HL, Connell JM: 378 Endothelial dysfunction as a possible link between C-reactive protein 379 levels and cardiovascular disease. Clin Sci 2000, 98:531–535. 380 4. Raza K, Thambyrajah J, Townend JN, Exley AR, Hortas C, Filer A, Carruthers 381 DM, Bacon PA: Suppression of inflammation in primary systemic 382 vasculitis restores vascular endothelial function: lessons for 383 atherosclerotic disease? Circulation 2000, 102:1470–1472. 384 5. Zimmermann J, Herrlinger S, Pruy A, Metzger T, Wanner C: Inflammation 385 enhances cardiovascular risk and mortality in hemodialysis patients. 386 Kidney Int 1999, 55:648–658. 387 6. Kato S, Chmielewski M, Honda H, Pecoits-Filho R, Matsuo S, Yuzawa Y, 388 Tranaeus A, Stenvinkel P, Lindholm B: Aspects of immune dysfunction in 389 end-stage renal disease. Clin J Am Soc Nephrol 2008, 3:1526–1533. 390 7. Vonesh EF, Snyder JJ, Foley RN, Collins AJ: The differential impact of risk 391 factors on mortality in hemodialysis and peritoneal dialysis. Kidney Int 392 2004, 66:2389–2401. 393 8. Peces R, de la Torre M, Alcázar R, Urra JM: Prospective analysis of the 394 factors influencing the antibody response to hepatitis B vaccine in 395 hemodialysis patients. Am J Kidney Dis 1997, 29:239–245. 396 9. Navarro JF, Teruel JL, Mateos M, Ortuno J: Hepatitis C virus infection 397 decreases the effective antibody response to hepatitis B vaccine in 398 hemodialysis patients. Clin Nephrol 1994, 41:113–116. 10. Liu YL, Kao MT, Huang CC: A comparison of responsiveness to hepatitis B 399 vaccination in patients on hemodialysis and peritoneal dialysis. Vaccine 400 2005, 23:3957–3960. 401 11. Poland GA, Jacobson RM: Prevention of hepatitis B with the hepatitis B 402 vaccine. N Eng J Med 2004, 351:2832–2833. 403 12. Stevens CE, Alter HJ, Taylor PE, Zang EA, Harley EJ, Szmuness W: The 404 dialysis vaccine trial study group. N Engl J Med 1984, 311:496–501. 405 13. Fabrizi F, Martin P, Dixit V, Bunnapradist S, Dulai G: Meta-analysis: the effect 406 of age on immunological response to hepatitis B vaccine in end-stage 407 renal disease. Aliment Pharmacol Ther 2004, 20:1053–1062. 408 14. Eleftheriadis T, Antoniadi G, Liakopoulos V, Kartsios C, Stefanidis I: 409 Disturbances of acquired immunity in hemodialysis patients. Semin Dial 410 2007, 20:440–451. 411 15. Ando M, Shibuya A, Yasuda M, Azuma N, Tsuchiya K, Akiba T, Nitta K: 412 Impairment of innate cellular response to in vitro stimuli in patients on 413 continuous ambulatory peritoneal dialysis. Nephrol Dial Transplant 2005, 414 20:2497–2503. 415 16. Sester U, Sester M, Hauk M, Kaul H, Köhler H, Girndt M: T-cell activation 416 follows Th1 rather than Th2 pattern in haemodialysis patients. Nephrol 417 Dial Transplant 2000, 15:1217–1223. 418 17. Alvarez-Lara MA, Carracedo J, Ramírez R, Martín-Malo A, Rodríguez M, 419 Madueño JA, Aljama P: The imbalance in the ratio of Th1 and Th2 helper 420 lymphocytes in uremia is medicated by an increased apoptosis of Th1 421 subset. Nephrol Dial Transplant 2004, 19:3084–3090. 422 18. Meier P, Dayer E, Blanc E, Wauters JP: Early T cell activation correlates with 423 expression of apoptosis markers in patients with end-stage renal 424 disease. J Am Soc Nephrol 2002, 13:204–212. 425 19. Litjens NH, Van Druningen CJ, Betjes MG: Progressive loss of renal function 426 is associated with the activation and depletion of naïve T lymphocytes. 427 Clin Immunol 2006, 118:83–91. 428 20. Stenvinkel P, Ketteler M, Johnson RJ, Lindhom B, Pecoits-Filho R, Riella M, 429 Heimburger O, Cederholm T, Girndt M: IL-10, IL-6, and TNF-α: central 430 factors in the altered cytokine network of uremia- the good, the bad, 431 and the ugly. Kidney Int 2005, 67:1216–1233. 432 21. Binder CJ, Chang MK, Shaw PX, Miller YI, Hartvigsen K, Dewan A, Witztum 433 JL: Innate and acquired immunity in atherogenesis. Nat Med 2001, 434 8:1210–1226. 435 22. Jofre R, Rodriguez-Benitez P, Lopez-Gomez JM, Perez-Garcia R: 436 Inflammatory syndrome in patients on hemodialysis. J Am Soc Nephrol 437 2006, 17(suppl 3):S274–S280. 438 23. Pecoits-Filho R, Bárány P, Lindholm B, Heimbürger O, Stenvinkel P: 439 Interleukin-6 is an independent predictor of mortality in patients staring 440 dialysis treatment. Nephrol Dial Transplant 2002, 17:1684–1688. 441 24. Kaysen GA: The microinflamatory state in uremia: causes and potential 442 consequences. J Am Soc Nephrol 2001, 12:1549–1557. 443 25. Girndt M, Ulrich C, Kaul H, Sester U, Sester M, Köhler H: Uremia-associated 444 immune defect: The IL-10-CRP axis. Kidney Int 2003, 63:S76–S79. 445 26. Girndt M, Kohler H, Schiedheim-Weick E, Schlaak JF, Zumbuschenfelde 446 K-HM, Fleischer B: Production of interleukin-6, tumor necrosis factor-α 447 and interleukin-10 in vitro correlate with the clinical immune defect in 448 chronic hemodialysis patients. Kidney Int 1995, 47:559–565. 449 27. Kimmel PL, Phillips TM, Simmens SJ, Petersons RA, Weihs KL, Alleyne S, Cruz 450 I, Yanovski JA, Veis JH: Immunological function and survival in 451 hemodialysis patients. Kidney Int 1998, 54:236–244. 452 28. Badiou S, Cristol JP, Jaussent I, Terrier N, Morena M, Maurice F, Leray- 453 Morageus H, Rivory JP, Chalabi L, Delcourt C, Canaud B, Dupuy AM: Fine 454 tuning of the prediction of mortality in hemodialysis patients by use of 455 cytokine protemic determintation. Clin J Am Soc Nephrol 2008, 3:423–430. 456 29. Fernandez E, Betriu MA, Gómez R, Montoliu J: Response to the hepatitis B 457 virus vaccine in haemodialysis patients: influence of malnutrition and its 458 importance as a risk factor for morbidity and mortality. Nephrol Dial 459 Transplant 1996, 12:1204–1211. 460 30. Lowrie EG, Lew NL: Death risk in hemodialysis patients: the predictive 461 value of commonly measured variables and an evaluation of death rate 462 differences between facilities. Am J Kidney Dis 1990, 15:458–482. 463 31. Dinarello CA: Historical insights into cytokines. Eur J Immunol 2007, 464 37:S34–S45. 465 32. Tedgui A, Mallat Z: Cytokines in atherosclerosis: pathogenic and 466 regulatory pathways. Physiol Rev 2006, 86:515–581. 467 33. Kaysen GA: Biochemistry and biomarkers of inflamed patients: why look, 468 what to assess. Clin J Am Soc Nephrol 2009, 4:S56–S63. 469 Lin et al. BMC Nephrology 2012, 13:97 Page 6 of 7 http://www.biomedcentral.com/1471-2369/13/97 470 34. Dinarello CA: Cytokines: agents provocateurs in hemodialysis? Kidney Int 471 1992, 41:683–694. 472 35. Davis AR, Pink JM, Lien AH, Wylie BR: Isolated antibody to hepatitis B core 473 in blood donors and immune response to hepatitis B vaccination. Aust N 474 Z J Med 1993, 23:215–233. 475 36. Chan CY, Lee SD, Tasi YT, Lo KJ: Hepatitis B vaccination alone is not 476 adequate for the categorizing of adult subjects with isolated anti-HBc. 477 J Gastroenterol Hepatol 1995, 10:192–197. 478 doi:10.1186/1471-2369-13-97 479 Cite this article as: Lin et al.: Association of response to hepatitis B 480 vaccination and survival in dialysis patients. BMC Nephrology 2012 13:97.