An adverse effect is an undesired harmful effect resulting from a medication or other intervention, such as surgery. An adverse effect may be termed a "side effect", when judged to be secondary to a main or therapeutic effect. The term complication is similar to adverse effect, but the latter is typically used in pharmacological contexts, or when the negative effect is expected or common. If the negative effect results from an unsuitable or incorrect dosage or procedure, this is called a medical error and not an adverse effect. Adverse effects are sometimes referred to as "iatrogenic" because they are generated by a physician/treatment. Some adverse effects occur only when starting, increasing or discontinuing a treatment. Adverse effects can also be caused by placebo treatments (in which case the adverse effects are referred to as nocebo effects).
Using a drug or other medical intervention which is contraindicated may increase the risk of adverse effects. Adverse effects may cause complications of a disease or procedure and negatively affect its prognosis. They may also lead to non-compliance with a treatment regimen. Adverse effects of medical treatment resulted in 142,000 deaths in 2013 up from 94,000 deaths in 1990 globally.
The harmful outcome is usually indicated by some result such as morbidity, mortality, alteration in body weight, levels of enzymes, loss of function, or as a pathological change detected at the microscopic, macroscopic or physiological level. It may also be indicated by symptoms reported by a patient. Adverse effects may cause a reversible or irreversible change, including an increase or decrease in the susceptibility of the individual to other chemicals, foods, or procedures, such as drug interactions.
In terms of drugs, adverse events may be defined as: "Any untoward medical occurrence in a patient or clinical investigation subject administered a pharmaceutical product and which does not necessarily have to have a causal relationship with this treatment.
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Drugs or medicines may be withdrawn from commercial markets because of risks to patients, but also because of commercial reasons (e.g. lack of demand and relatively high production costs). Where risks or harms is the reason for withdrawal, this will usually have been prompted by unexpected adverse effects that were not detected during Phase III clinical trials, i.e. they were only made apparent from postmarketing surveillance data collected from the wider community over longer periods of time.
Polypharmacy (polypragmasia) is an umbrella term to describe the simultaneous use of multiple medicines by a patient for their conditions. Most commonly it is defined as regularly taking five or more medicines but definitions vary in where they draw the line for the minimum number of drugs. Polypharmacy is often the consequence of having multiple long-term conditions, also known as multimorbidity. An excessive number of medications is worrisome, especially for older patients with many chronic health conditions, because this increases the risk of an adverse event in those patients.
Drug interactions occur when a drug's mechanism of action is affected by the concomitant administration of substances such as foods, beverages, or other drugs. The cause is often inhibition of, or less effective action, of the specific receptors available to the drug. This influences drug molecules to bind to secondary targets, which may result in an array of unwanted side-effects. The term selectivity describes a drug’s ability to target a single receptor, rendering a predictable physiological response.
We will cover key concepts of Medicinal Chemistry, from identification of active chemical starting points to how they are optimized to deliver drug candidates. We will use real case studies from the p
Explores major neurotransmitters, their effects, drug therapy, and receptor mechanisms in brain function.
Explores comparison statistics, hypothesis testing, ANOVA, correlation, and linear regression.
Introduces risk analysis methods such as 'What if', FTA, ETA, and dynamic methods, including Bayesian networks and uncertainty management.
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