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Volume 11, Number 11—November 2005
Research

Neutralizing Antibody Response and SARS Severity

Mei-Shang Ho*, Wei-Ju Chen*, Hour-Young Chen†, Szu-Fong Lin†, Min-Chin Wang†, Jiali Di†, Yen-Ta Lu‡, Ching-Lung Liu‡, Shan-Chwen Chang§, Chung-Liang Chao¶, Chwan-Chuen King§, Jeng-Min Chiou*, Ih-Jen Su#, and Jyh-Yuan Yang†Comments to Author 
Author affiliations: *Academia Sinica, Taipei, Taiwan; †Center for Disease Control, Taipei, Taiwan; ‡Taipei Mackay Memorial Hospital, Taipei, Taiwan; §National Taiwan University, Taipei, Taiwan; ¶Taipei Hospital, Taipei, Taiwan; #National Health Research Institutes, Taipei, Taiwan

Main Article

Table 5

Multivariate analysis of factors affecting seropositivity and neutralizing antibody titer of severe acute respiratory syndrome (SARS) patients

Variables*† Seropositivity*
Antibody titer†
OR (95% CI) p value Parameter estimates + SE p value
Age (y) (n + 1 vs. n) 0.97 (0.94-1.00) 0.065 0.0056 + 0.0079 0.478
Women vs. men 1.24 (0.47-3.3) 0.67 –0.417 + 0.235 0.081
Infection source, known vs. unknown 15.6 (5.9-41.4) <0.0001 0.248 + 0.313 0.431
Duration of illness (d) (n+1 vs. n, n = 1 through 44 d) 1.08 (1.025-1.143) 0.004 0.0638 + 0.0233 0.008
Time of convalescent-phase serum sample (weeks after fever onset) (n + 1 vs. n, n = 3 through 15 wk) 0.449 + 0.198 0.026
(Duration of illness) ×(Time of convalescent-phase serum sample) –0.005 + 0.0024 0.037
(Time of convalescent-phase serum sample)2 –0.025 + 0.012 0.042

*Logistic model: age, with every additional year of age, the odds of seropositivity is 0.97 (odds ratio, OR) (see Figure 1); sex, the odds for women to be seropositive is 1.24 (OR) when compared with men; infectious source, the odds of patients with known infection source to be seropositive is 15.6 times that of the patients without known source of infection; duration of illness, for every additional day of illness, the odds of seropositivity increases by 1.08.
†Linear mixed model: log2 (neutralizing antibody titer) = β0 + β1 (age) – β1 (sex) + β3 (infection source) + β4 (duration of illness) + β5 (time of convalescent-phase serum sample) –β6 (duration of illness ×time of convalescent-phase serum sample) –β7 (time of convalescent-phase serum sample)2. In results above, the model estimates are based on log2 (titers), to which the time of convalescent-phase serum collection (in weeks postonset of illness, starting from week 3) contributed in 3 terms; the antibody rise follows the first order of weeks postonset, and decay follows the second order of weeks postonset and an interactive term between duration of illness and weeks postonset.

Main Article

Page created: February 17, 2012
Page updated: February 17, 2012
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