World Health Organization recommends hepatitis B virus (HBV) immunization at 0, 1, and 6 months. However, studies have suggested that shortening the interval between the first and last HBV immunization can improve completion rates. Less clear is whether accelerated immunization is as immunogenic as standard immunization. Thus, the present study aimed to compare the short-term immunogenicity of yeast-derived hepatitis B vaccine in healthy adults immunized on an accelerated or standard schedule. Between June 2013 and March 2014, individuals from Jinfeng and Longmen, China were randomly assigned to receive the vaccine on an accelerated schedule (at 0, 1, and 2 months; =201) or a standard schedule (at 0, 1, and 6 months;=206). Subjects filled out a questionnaire asking about demographic and other health data, and they underwent physical examination. Blood was assayed for HBV surface antigen and HBV surface antibody (HBsAb) at 1-2 months after the three-dose schedule. Multivariate binary logistic regression was used to determine whether the rate of anti-HBs seroconversion differed with immunization schedule. Covariance analysis was used to compare geometric mean HBsAb concentration between the two schedules. The anti-HBs seroconversion rate was 84.6% in the accelerated group and 90.3% in the standard group. After controlling for several potential confounders, the accelerated schedule was associated with significantly lower anti-HBs seroconversion rate (OR: 0.560, 95% CI: 0.318-0.988). Similarly, the accelerated schedule was associated with significantly lower geometric mean HBsAb concentration. These results suggest that the standard schedule is more likely to lead to anti-HBs seroconversion and higher HBsAb levels in adults.
ObjectiveTo explore the role of surgical treatment modality on prognosis of metastatic esophageal adenocarcinoma (mEAC), as well as to construct a machine learning model to predict suitable candidates.MethodAll mEAC patients pathologically diagnosed between January 2010 and December 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. A 1:4 propensity score-matched analysis and a multivariate Cox analysis were performed to verify the prognostic value of surgical treatment modality. To identify suitable candidates, a machine learning model, classification and regression tree (CART), was constructed, and its predictive performance was evaluated by the area under receiver operating characteristic curve (AUC).ResultsOf 4520 mEAC patients, 2901 (64.2%) were aged over 60 years and 4012 (88.8%) were males. There were 411 (9.1%) patients receiving surgical treatment modality. In the propensity score-matched analysis, surgical treatment modality was significantly associated with a decreased risk of death (HR: 0.47, 95% CI: 0.40-0.55); surgical patients had almost twice as much median survival time (MST) as those without resection (MST with 95% CI: 23 [17-27] months vs. 11 [11-12] months, P <0.0001). The similar association was also observed in the multivariate Cox analysis (HR: 0.47, 95% CI: 0.41-0.53). Then, a CART was constructed to identify suitable candidates for surgical treatment modality, with a relatively good discrimination ability (AUC with 95% CI: 0.710 [0.648-0.771]).ConclusionSurgical treatment modality may be a promising strategy to prolong survival of mEAC patients. The CART in our study could serve as a useful tool to predict suitable candidates for surgical treatment modality. Further creditable studies are warranted to confirm our findings.
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