Published online Jul 7, 2018. doi: 10.3748/wjg.v24.i25.2764
Peer-review started: April 13, 2018
First decision: April 27, 2018
Revised: April 30, 2018
Accepted: June 2, 2018
Article in press: June 2, 2018
Published online: July 7, 2018
Processing time: 83 Days and 10 Hours
Recent literature has identified many adverse effects from the use of tumor necrosis factor alpha (TNFα) inhibitors. Among these are an increased risk of opportunistic infections and serious adverse events. However, previous meta-analyses have not identified a significantly increased risk of tuberculosis (TB) infection, which is especially pertinent considering that Mycobacterium avium subspecies paratuberculosis (MAP) is suspected to have an intimate role in the etiology of Crohn’s disease (CD).
Due to the suspected role of MAP in the etiology of CD and previous literature on the topic, TNFα inhibitors likely increase the risk of TB infection, which would guide future clinical decisions. However, such an association has not been adequately quantified. Additionally, current statistical models commonly used in meta-analyses fail to adequately analyze data where events are rare (defined as less than 1 case per 1000 person-years). Our research would not only bring additional considerations when making clinical decisions about anti-TNFα therapy but also introduce existing statistical models and novel corrections that can help deal with rare events.
In this study, we seek to advance the awareness of and quantify the association between TNFα inhibitors and TB in CD patients. We seek to include all qualified studies - including studies with zero events in the treatment and control groups - without using corrections, which previous meta-analyses have failed to do. Finally, we seek to introduce a novel, epidemiologically-based background correction (EBC) that can adjust for zero counts.
The Preferred Reporting Items for the Systematic reviews and Meta-Analyses (PRISMA) protocol was followed. Only randomized, placebo-controlled trials (RCTs) were considered. Arcsine differences were used to calculate risk differences in a non-biased way. Odds ratios were calculated using the Yusuf-Peto method both with and without corrections (EBC).
Twenty-three RCTs were analyzed, and all the statistical methods repeatedly provided significantly increased risk of TB infection. A risk difference (RD) of 0.028 (95%CI: 0.0011-0.055) was calculated. The odds ratio (OR) was 4.85 (95%CI: 1.02-22.99) when all studies were included using EBCs and 5.85 (95%CI: 1.13-30.38) when studies reporting zero tuberculosis cases were excluded.
There is an increased risk of TB infection in patients with Crohn’s disease who use TNFα inhibitors. This risk could range from 5 times (OR) to as high as 8 times (RD). Alternative therapy such as using more antibiotics and less immunosuppressive agents may be evaluated.
This study provided us with additional approaches that can be considered when conducting future meta-analyses. ASD is a particularly useful method that can contribute to future meta-analyses. The relationship between MAP and TB is still unclear. Further research on the validity of the EBC should be pursued.