Friday, June 29, 2012

Gastroenterologists need to be cautious of prescribing metoclopramide for non-diabetic patients


Reference: Parkman, H.P., et al., Clinical response and side effects of metoclopramide: associations with clinical, demographic, and pharmacogenetic parameters. J Clin Gastroenterol, 2012. 46(6): p. 494-503



A study out from Temple on the side effects of metoclopramide. 

Brief Summary: Gastroperesis is a disorder indicative of slow stomach emptying during digestion and is often associated with diabates.  A common drug prescribed for this condition is metoclopramide – an antiemetic drug effective against nausea and vommitting.  The main aim of this study was to determine the factors which are associated with response vs. no-response and side effects vs. no side effects with the use of metoclopramide.   100 patients from a hospital near Philadephia were accrued into the study, and clinical features were recorded including age, dosage, etiology (diabetes or no-diabetes) and genotype testing for a number of various genes though to implicate in the main find. 

Results: The patients who responsed were older and had a heavier body mass index.  Genetic polymorphisms in KCNH2 and DRA1D genes were associated with clinical response.   The patients who hads side effects to metoclopramide tended to be nondiabetic with normal gastric emptying.  Genetic polymorphsisms occurred in CYP2D6, KCNH2, and 5-HT4 receptor HTR4 genes.  Some of the side affects were very severe.      

Implications for Practice: Since some of the side effects were severe, gastroenterologists should be very wary of prescribing metoclopramide to nondiabetic patients.  For these non-diabetic patients, if genetic testing can be under-done, it may be very helpful in determing the effectiveness of metoclopramide.

Discussion: Really good paper here, and I had a really fun time reading it.  These types of studies are important in order to determine the effectiveness of various metabolic drugs.  I am glad to see that the authors included the genotype variables.   Furthermore, I really liked how the authors went in depth in the discussion section on the various genes which were under investigation and the potential biological mechanism at play.

Also, at the beginning of the discussion section, it was good to see that the authors included a brief section on the implications for practice in Gastroenterology. This is always important and something that many authors do not do.

Overall, just a very well investigated  and written paper with very interesting finds which every Gastroenterologist who prescribes metoclopramide should know really.

Commentary on Statistics and Study Design: My biggest suggestion has to with the absense of any multi-variate analysis, which should always be done in any type of risk factor study.  The authors only included a uni-variate (un-corrected) analysis, but it would also would have been helpful to conduct a multi-variate (corrected) analysis with logistic regression using either a forward or backward stepwise regression approach.  Doing this, the authors could have presented a set of clinical factors which were most associated with the outcome variable: having a positive response.  For instance, it may be that one of the clinical factors (body mass index) is not associated with the outcome variable (response vs. no-response) while controlling for one of the genes.  Due to the very large number of genes, it probably would not have been possible to include all of the genetic factors at once, but you could test just a sub-sample at a time.  You always want to conduct this type of multi-variate analysis, and report both the uni-variate and multi-variate results. 

Also, in the statistical analysis section, it seems as if three separate statistical techniques were used (Fisher’s Exact Test, ANOVA, and uni-varite logistic regression); however, it seems as if the entire paper could have been performed with just the logistic regression.  I don’t even see any of the results for the ANOVA analysis.  I’m not too sure here. It would have been helpful if the name of the statistical test used was under the tables.  This could be very helpful.   
Overall, a good investigation. Thanks to our buddies at Temple for doing this!        


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