Central and statistical data monitoring in the Clinical Randomisation of an Antifibrinolytic in Significant Haemorrhage (CRASH-2) trial.

Background The purpose of monitoring in clinical trials is to ensure the rights, safety, and well-being of trial patients and the accuracy of the trial data. In the Clinical Randomisation of an Antifibrinolytic in Significant Haemorrhage (CRASH-2) trial, which recruited over 20,000 adult trauma patients worldwide, the nature and extent of monitoring was based on a risk assessment undertaken before recruitment started. Purpose We report the methods used for central and statistical monitoring in the CRASH-2 trial and explain how central monitoring was used to target on-site investigations. Methods To ensure that trial participants met the inclusion criteria, we monitored event rates for the primary (death) and secondary outcomes (blood transfusion given). We monitored four quantitative variables (systolic blood pressure (SBP), heart rate (HR), respiratory rate, and capillary refill time) as indicators of the severity of bleeding. We used the coefficient of variation (CV) to identify sites with too much or too little variability. To ensure the accuracy of the data on side effects, we monitored thromboembolic events at each site. Sites with higher or lower than expected event rates were identified for further evaluation. Results A total of 274 sites recruited patients: 145 sites recruited ≥20; patients, and 52 sites recruited ≥100 patients. Sites with low case fatality and low blood transfusion rates were found to be including patients with relatively mild haemorrhage. One site with a high rate of thromboembolic events was found to be using clinical judgement alone. Measurements of SBP and HR varied by about one-fifth of their average value, and capillary refill time measurements varied by around one-third of their average; between-site variation was lowest for blood pressure. Limitations A comparison of mean and median CV indicated that the distributions are slightly skewed to the right. Our simple approach to calculating 95% confidence intervals for the CV may be improved by using a logarithmic transformation of CV for each variable. Conclusions Central and statistical monitoring of data can be used to monitor clinical trials, particularly large, pragmatic, international trials where 100% on-site monitoring is neither necessary nor cost-effective. In the CRASH-2 trial, re-education about trial protocol and the development of guidance helped resolve the issues identified during monitoring.

Replication of the association of HLA-B7 with Alzheimer's disease: a role for homozygosity?

BACKGROUND: There are reasons to expect an association with Alzheimer's disease (AD) within the HLA region. The HLA-B & C genes have, however, been relatively understudied. A geographically specific association with HLA-B7 & HLA-Cw*0702 had been suggested by our previous, small study. METHODS: We studied the HLA-B & C alleles in 196 cases of 'definite' or 'probable' AD and 199 elderly controls of the OPTIMA cohort, the largest full study of these alleles in AD to date. RESULTS: We replicated the association of HLA-B7 with AD (overall, adjusted odds ratio = 2.3, 95% confidence interval = 1.4-3.7, p = 0.001), but not the previously suggested interaction with the epsilon4 allele of apolipoprotein E. Results for HLA-Cw*0702, which is in tight linkage disequilibrium with HLA-B7, were consistent with those for the latter. Homozygotes of both alleles appeared to be at particularly high risk of AD. CONCLUSION: HLA-B7 and HLA-Cw*0702 are associated with AD in the Oxford population. Because of the contradictions between cohorts in our previous study, we suggest that these results may be geographically specific. This might be because of differences between populations in the structure of linkage disequilibrium or in interactions with environmental, genetic or epigenetic factors. A much larger study will be needed to clarify the role of homozygosity of HLA alleles in AD risk.