UNLABELLED: The etiology of primary biliary cirrhosis (PBC) is far from clear. Both genetic and environmental factors are likely to be involved. We have previously reported evidence of space-time clustering, suggesting that a transient environmental agent may be involved in etiology. To further examine whether a seasonally varying environmental agent may contribute to the etiology of PBC, we have analyzed seasonal variation with respect to month of diagnosis using population-based data from northeast England over a defined period (1987-2003). Date of diagnosis was defined as the earliest date at which the patient was found to have fulfilled any two of three diagnostic criteria (i.e., antimitochondrial antibody-positive titer ≥1 in 40, cholestatic liver blood tests, diagnostic or compatible liver histology). Monthly expected (E) numbers of cases were calculated under an assumption of a uniform distribution throughout the year. Observed counts (O) were compared with the expected numbers. The chi-squared heterogeneity test was used to test for overall nonuniform variation and also for individual months. Poisson regression analysis was used to fit a sinusoidal (i.e., harmonic) model to the data, using month of diagnosis as a covariate in the model. There was a marked peak for diagnoses in the month of June (O = 115, E = 84.7, O/E = 1.36; P = 0.001). Furthermore, there was evidence of a sinusoidal pattern with a June peak (P = 0.012). CONCLUSION: These highly novel results provide further evidence for the involvement of a seasonally varying environmental agent in the etiology of PBC.
UNLABELLED: The etiology of primary biliary cirrhosis (PBC) is far from clear. Both genetic and environmental factors are likely to be involved. We have previously reported evidence of space-time clustering, suggesting that a transient environmental agent may be involved in etiology. To further examine whether a seasonally varying environmental agent may contribute to the etiology of PBC, we have analyzed seasonal variation with respect to month of diagnosis using population-based data from northeast England over a defined period (1987-2003). Date of diagnosis was defined as the earliest date at which the patient was found to have fulfilled any two of three diagnostic criteria (i.e., antimitochondrial antibody-positive titer ≥1 in 40, cholestatic liver blood tests, diagnostic or compatible liver histology). Monthly expected (E) numbers of cases were calculated under an assumption of a uniform distribution throughout the year. Observed counts (O) were compared with the expected numbers. The chi-squared heterogeneity test was used to test for overall nonuniform variation and also for individual months. Poisson regression analysis was used to fit a sinusoidal (i.e., harmonic) model to the data, using month of diagnosis as a covariate in the model. There was a marked peak for diagnoses in the month of June (O = 115, E = 84.7, O/E = 1.36; P = 0.001). Furthermore, there was evidence of a sinusoidal pattern with a June peak (P = 0.012). CONCLUSION: These highly novel results provide further evidence for the involvement of a seasonally varying environmental agent in the etiology of PBC.
Authors: Jun Zhang; Weici Zhang; Patrick S C Leung; Christopher L Bowlus; Sandeep Dhaliwal; Ross L Coppel; Aftab A Ansari; Guo-Xiang Yang; Jinjun Wang; Thomas P Kenny; Xiao-Song He; Ian R Mackay; M Eric Gershwin Journal: Hepatology Date: 2014-09-29 Impact factor: 17.425
Authors: Craig Lammert; Douglas L Nguyen; Brian D Juran; Erik Schlicht; Joseph J Larson; Elizabeth J Atkinson; Konstantinos N Lazaridis Journal: Dig Liver Dis Date: 2013-03-11 Impact factor: 4.088
Authors: Richard J Q McNally; Peter W James; Samantha Ducker; Paul D Norman; Oliver F W James Journal: Am J Epidemiol Date: 2014-01-08 Impact factor: 4.897