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Therapy with acetylsalicylic acid does not interfere with oral surgery

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Dudek D., Helewski K., Wyrobiec G., Harabin-Słowińska M., Kowalczyk-Ziomek G., Żaba M., Wesołowski P., Stawski T., Wojnicz R.
Open Medicine
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2013
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vol. 8
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issue 4
392-397
EN
The acetylsalicylic acid (ASA) treatment is widespread therapeutic strategy in cardiology clinics. On the other hand, patients with heart diseases represent a significant group of cases in dental clinics. Accordingly, we studied the local hemostatic thrombus formation after dental tooth extractions (n=47) and other oral surgery treatment (n=13) in 60 patients with heart disease being on ASA therapy without drug discontinuation. In the control group free of ASA therapy it was: (n=24) and (n=6), respectively. In all studied patients, the aggregative activity of blood platelets by PFA-100 analyzer was assessed. It was found that 61.7% patients treated with ASA presented inhibition of platelets aggregation. Unexpectedly, in 35% of such patients, platelet aggregation function remained unchanged. In the control group, normal platelet aggregation was found in all subjects. It has been shown that ASA therapy has neutral effects on both thrombus formation and pain complications in patients with heart disease underwent tooth extraction and other oral surgery. Thus discontinuation of ASA therapy before surgery seems to be weakly validated.
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Impurity profile analysis of drug products containing acetylsalicylic acid: a chemometric approach

88%
Ronowicz J., Kupcewicz B., Mydłowska J., Budzisz E.
Open Chemistry
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2013
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vol. 11
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issue 7
1091-1100
EN
In this work attention is focused on impurity profile analysis in combination with infrared spectroscopy and chemometric methods. This approach is considered as an alternative to generally complex and time-consuming classic analytical techniques such as liquid chromatography. Various strategies for constructing descriptive models able to identify relations among drug impurity profiles hidden in multivariate chromatographic data sets are also presented and discussed. The hierarchical (cluster analysis) and non-hierarchical segmentation algorithms (k-means method) and principal component analysis are applied to gain an overview of the similarities and dissimilarities among impurity profiles of acetylsalicylic acid formulations. A tree regression algorithm based on infrared spectra is used to predict the relative content of impurities in the drug products investigated. Satisfactory predictive abilities of the models derived indicate the possibility of implementing them in the quality control of drug products. [...]
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