Reference: Bae,
S., et al., Incidence and 30-day
mortality of peptic ulcer bleeding in Korea. Eur J Gastroenterol Hepatol,
2012. 24(6): p. 675-682.
A study out from Korea on the incidence and 30-day mortality
rate of peptic ulcer bleeding in Korea.
Brief Summary:
A peptic ulcer is an ulcer which occurs somewhere in the
gastrointestinal tract (large or small intestine) and can provide complications
in the form of peptic ulcer bleeding (PUB).
The main objective of this study was to estimate the rate of peptic
ulcer bleed bleeding and the risk factors for 30 day mortality from a PUB
event. An improved PUB diagnostic algorithm
which relied on a prescription of histamine type-2 receptor antagonists (H2RA)
or proton pump inhibitors (PPI) was used to diagnose the PUB patients.
Results: On
the basis of the aforementioned diagnostic algorithm, the incidence rate for
PUB was 22.1 per 100,000 individuals.
The 30-day mortality rate for patients with presenting PUB over 80 was 7.65%, between the
ages of 60 and 79, 2.87%, and for those less than 60, 0.83%. The overall 30 day
mortality rate for all patients was 2.15 percent. Overall, in a uni-variate analysis, the risk
factors which predicted a greater likelihood of mortality for PUB were over age
60, female sex, ulcer-related drug use (aspirin, oral glucocorticoids, vitamin
K antagonists,etc.), and antiulcer drug use (proton pump inhibitors and H2
receptor antagonists). When adjusting
for all the factors, only age was found to be a significant 30-day risk factor.
Implications for Practice: Doctors need to be more
wary of patients who are older than 60 and present with a peptic ulcer
bleeding, because these patients are considerably more likely to have a 30-day
mortality event.
Discussion: Really interesting study here. The incidence of gastrointestinal conditions
can really vary from one geographical region to another, because the environmental
and dietary variables can really vary from one region to another, and thus
studies like this is important. Whenever
this geographical dependency occurs, it is important to limit the analysis to a
certain sub-population in the world as this investigation did.
It was surprising to see that the PPV jumped so
significantly with the use of a more restrictive diagnostic algorithm
(prescription of the PPI or H2RA). The
PPV went from 53 to 88 percent – astounding increase! I am interested to see whether
other epidemiological based studies could take advantage of this prescription
fix.
Also, I liked the discussion section that the author’s
wrote-up. In short, they gave a detailed
but succinct description of the various risk factors, and their influence on
the eventual disease. The authors noted
that patients of age greater than 75 are more likely to have a peptic ulcer
than those between the ages of 25 and 44 due to consumption of NSAID/aspirin or
the high prevalence of H. pylori
among the elderly. This would seem to be
the main causative factor here.
Also, the author’s noted that the result for gender was
different for this study compared to past studies. Past studies showed that males have a higher incidence
rate due to higher rates of alcohol consumption and smoking among men, which
are known to be risk factors of PUB. It seems as if a significantly more work
needs to be done to elucidate the exact effect of gender here – especially given
the confliction results from this investigation to past. It no doubt has something to do with the inherent
differences in the sub-populations under study.
Commentary on Statistics and Study Design: Overall,
the investigators did a really good job with the statistical analysis. I like how the author’s reported both the
un-adjusted (uni-variate) and un-adjusted (multi-variate) results. This is really
important in a study like this, because it’s important to give the reader a
final set of risk factors (variables) which are most associated with the response (morbidity). For instance, it’s highly suspicious that the
use of an ulcer-related drug – which was significant in the uni-variate
analysis – would also be significant in the multi-variate analysis when also
adjusting for age.
Also, I really like how the authors used the Charlson
co-morbidity index and used this as a controlling factor multi-variate
analysis. This is obviously crucial to do, since the presence of another
disease could seriously confound the experiment. Typically, many investigators would just
totally exclude any patients from the study all-together with the presence of
another disease, but in doing this, the analyst is essentially losing data
samples. It is better just to control for the confounding factor if
possible.
I guess my only suggestion for the authors would be to include
a more explicit description of the odds ratios which were presented in Table 3
which detailed the individual risk factors for the un-adjusted (uni-variate)
model. For instance, say something like “the
odds of a 30 day mortality increase by 350% for patients who are between the
ages of 60 to 79 compared to those patients who are less than 60.” This type of succinct yet explicit detail can
be really helpful. Other than that,
everything looks good! I really liked
the tables and figures – not too much to say there.
As the authors alluded to in the discussion section, there
are several lifestyle variables (smoking, alcohol consumption, etc.) which
could have been included in the study.
In fact, the introduction of these lifestyle variables would probably
change the relationship with 30-day co-morbidity significantly. For instance, I bet you that sex will not
even be significant if you introduce these lifestyle variables, but this is
another good study for the future.
A big thanks to our Korea pals for doing this!
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