Die Studie analysiert die Probleme, die im Rahmen der COX-2-Hemmer aufgetreten sind und behauptet, dass das Risiko für Herzattacken nur für eine kleine Gruppe bestanden habe, und zwar aus möglicherweise genetischen Gründen.
Die Studie schlägt vor, dass Verfahren entwickelt werden sollen, an Hand von genetischen Parametern das Risiko für Patienten abzuschätzen.
Genetics plays a role in the side effects experienced by people taking painkillers
Variation in genetic make-up determines each person's reaction to popular painkillers
A study published in the January issue of the American Gastroenterological Association (AGA) journal Gastroenterology found a difference in how people responded to popular painkillers and that up to 30 percent of this variability can be attributed to an individual's genetic make-up. This variation can influence both how useful the drugs are in affording relief from pain and inflammation, and the number and severity of the adverse effects. This evaluation is perhaps the most rigorous look at how people vary in their response to drugs and was designed as part of a strategy to determine genetic and other markers that might help predict response and safety of these drugs, including susceptibility to cardiovascular complications.
The study looked at people taking two popular painkillers--rofecoxib (Vioxx, Merck) and celecoxib (Celebrex, Pfizer)--known as COX-2 inhibitors. During the past two years, evidence has emerged that COX-2s confer a risk of heart attack and stroke, resulting in two of the drugs in this class being withdrawn from the market and a black box warning being issued for a third drug.
"The use of any drug involves a mix of benefits and risks. The problems with COX-2 inhibitors were real, but involved less than 2 percent of patients who were taking them," said Garret A. FitzGerald, MD, study author from the University of Pennsylvania School of Medicine. "Because we often underestimate just how much people differ in their response to the same dose of the same drug, there is a need to develop diagnostic methods to identify those patients at an increased risk of cardiovascular events and explore this variability in drug response to move toward an individualized approach in drug development."
Researchers at the University of Pennsylvania examined the variability, both within and between subjects, in response to celecoxib and rofecoxib, in a randomized, double-blind, placebo controlled study. Screening, enrollment and follow-up of healthy study volunteers was performed between January 2002 and January 2004. The study was conducted on 50 healthy volunteers between the ages of 21 and 43 years old who received a single dose of placebo, celecoxib and rofecoxib in random order. This was done to allow researchers a direct comparison of the responses to the drugs within the same subjects. Five of the patients went through the entire protocol five times to assess variability within individuals.
According to study authors, different factors in the environment result in a variety of responses from an individual who is dosed with the same drug at different times. This effect is seen even when as many variables as possible are standardized or controlled for. Approximately 30 percent of the variability found in patients was attributable to differences between individuals, suggesting the contribution of genetics to a variety of biomarkers of drug response. The study also illustrates that even healthy individuals without a recognized risk of disease respond quite differently to the drugs.
Previous studies have shown that rofecoxib and celecoxib result in a small number of the people who were apparently at a low-risk of cardiovascular disease initially, proceeding to increase that risk to the point that culminates in heart attack and stroke following prolonged use of these drugs. According to researchers, exploiting this variability could permit management of the cardiovascular risk of COX-2 inhibitors, while preserving their efficacy for patients most likely to benefit from them and determining how these drugs might be administered to people initially at low risk for cardiovascular disease.
"Typically when a drug causes hazardous side effects, the reaction is to suggest that people reduce the dosage they are taking. However, this has often been followed by withdrawal of the drug from the market when the problems are not eliminated," said FitzGerald. "These findings highlight that while a lower dose may reduce the likelihood of problems on average, it will not eliminate them on an individual level because there is such a marked variability in how each person reacts to these drugs based on their genetic make-up."
Study authors are hopeful that this work will provide an impetus for the development of a science-based approach to risk management. Exploitation of variability in response can lead to tests which identify patients most likely to benefit or suffer from harmful side effects caused by these drugs. "This study provides a starting point for the development of diagnostics that allow the medical and research communities to conserve benefits while managing the risks of COX-2 inhibitors," said FitzGerald.
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Anmerkung von migraeneinformation.de:
Im Prinzip ist die Kernaussage:
Man kann bislang ein Risiko immer nur statistisch abschätzen. Beispielsweise kann man über bestimmte Studien herausfinden, dass sich das Risiko, einen Herzinfarkt zu erleiden, bei der regelmäßigen Einnahme von VIOXX um 20% erhöht.
Die Behauptung geht nun dahin, dass das nicht für jeden gilt, sondern dass sich für die meisten das Risiko gar nicht erhöht, für andere aber beträchtlich. Mit anderen Worten: Man möchte vorher wissen, wer den Herzinfarkt bekommen wird.
Und das möchte man dann aus genetischen Parametern ablesen können.
Ein Arztbesuch sähe dann wohl so aus:
"Ich habe mal gerade Ihren genetischen Code aus Ihrer Chip-Karte abgerufen. Also bei Ihnen wirkt Maxalt nicht, dafür aber Relpax.
Naproxen zur Unterstützung empfehle ich Ihnen nicht, da es bei Ihnen das Herzinfarktrisiko erhöht. Nehmen Sie stattdessen ASS oder Ibuprofen."
Immerhin, dies wäre möglicherweise eine sinnvolle Anwendung der Gen-Technik.