|Adverse drug reaction|
|A rash due to a drug reaction|
An adverse drug reaction (ADR) is a harmful, unintended result caused by taking medication.: 1.1 Adverse Drug Reaction (ADR) ADRs may occur following a single dose or prolonged administration of a drug or may result from the combination of two or more drugs. The meaning of this term differs from the term "side effect" because side effects can be beneficial as well as detrimental. The study of ADRs is the concern of the field known as pharmacovigilance. An adverse event (AE) refers to any unexpected and inappropriate occurrence at the time a drug is used, whether or not the event is associated with the administration of the drug.: 1.2 Adverse Event (AE) An ADR is a special type of AE in which a causative relationship can be shown. ADRs are only one type of medication-related harm. Another type of medication-related harm type includes not taking prescribed medications, which is also known as non-adherence. Non-adherence to medications can lead to death and other negative outcomes. Adverse drug reactions require the use of a medication.
Adverse drug reactions may be classified in a few different ways.
Types A and B were proposed in the 1970s, and the other types were proposed subsequently when the first two proved insufficient to classify ADRs.
The other types of adverse drug reactions that were categorized in this way since Type A and B were proposed have been Type C, Type D, Type E and Type F. Type C was categorized for chronic adverse drug reactions. Type D was categorized for delayed adverse drug reactions. Type E was categorized for withdrawal adverse drug reactions. Type F was categorized for failure of therapy as an adverse drug reaction.
Adverse drug reactions can also be categorized using time-relatedness, dose-relatedness, and susceptibility, which is called the DoTS classification.
The U.S Food and Drug Administration defines a serious adverse event as one when the patient outcome is one of the following:
Severity is a measure of the intensity of the adverse event in question. The terms "severe" and "serious", when applied to adverse events, are technically very different. They are easily confused but can not be used interchangeably, requiring care in usage. Seriousness usually indicates patient outcome (such as negative outcomes including disability, long-term effects, and death).
A headache is severe if it causes intense pain. There are scales like "visual analog scale" that help clinicians assess the severity. On the other hand, a headache is not usually serious (but may be in case of subarachnoid hemorrhage, subdural bleed, even a migraine may temporally fit criteria), unless it also satisfies the criteria for seriousness listed above.
In adverse drug reactions, the seriousness of the reaction is important for reporting.
Adverse effects may be local, i.e. limited to a certain location, or systemic, where medication has caused adverse effects throughout the systemic circulation.
For instance, some ocular antihypertensives cause systemic effects, although they are administered locally as eye drops, since a fraction escapes to the systemic circulation.
As research better explains the biochemistry of drug use, fewer ADRs are Type B and more are Type A. Common mechanisms are:
Various diseases, especially those that cause renal or hepatic insufficiency, may alter drug metabolism. Resources are available that report changes in a drug's metabolism due to disease states.
The Medication Appropriateness Tool for Comorbid Health Conditions in Dementia (MATCH-D) criteria warns that people with dementia are more likely to experience adverse effects, and that they are less likely to be able to reliably report symptoms.
Pharmacogenomics includes how genes can predict potential adverse drug reactions. However, pharmacogenomics is not limited to adverse events (of any type), but also looks at how genes may impact other responses to medications, such as low/no effect or expected/normal responses (especially based on drug metabolism).
Abnormal drug metabolism may be due to inherited factors of either Phase I oxidation or Phase II conjugation.
Phase I reactions include metabolism by cytochrome P450. Patients have abnormal metabolism by cytochrome P450 due to either inheriting abnormal alleles or due to drug interactions. Tables are available to check for drug interactions due to P450 interactions.
Inheriting abnormal butyrylcholinesterase (pseudocholinesterase) may affect metabolism of drugs such as succinylcholine.
Inheriting abnormal N-acetyltransferase which conjugated some drugs to facilitate excretion may affect the metabolism of drugs such as isoniazid, hydralazine, and procainamide.
Inheriting abnormal thiopurine S-methyltransferase may affect the metabolism of the thiopurine drugs mercaptopurine and azathioprine.
Protein binding interactions are usually transient and mild until a new steady state is achieved. These are mainly for drugs without much first-pass liver metabolism. The principal plasma proteins for drug binding are:
Some drug interactions with warfarin are due to changes in protein binding.
The risk of drug interactions is increased with polypharmacy, especially in older adults.
Additive drug effects
Two or more drugs that contribute to the same mechanism in the body can have additive toxic or adverse effects. One example of this is multiple medications administered concurrently that prolong the QT interval, such as antiarrhythmics like sotalol and some macrolide antibiotics, such as systemic azithromycin. Another example of additive effects for adverse drug reactions is in serotonin toxicity (serotonin syndrome). If medications that cause increased serotonin levels are combined, they can cause serotonin toxicity (though therapeutic doses of one agent that increases serotonin levels can cause serotonin toxicity in certain cases and individuals). Some of the medications that can contribute to serotonin toxicity include MAO inhibitors, SSRIs, and tricyclic antidepressants.
Some medications can either inhibit or induce key drug metabolizing enzymes or drug transporters, which when combined with other medications that utilize the same proteins can lead to either toxic or sub-therapeutic adverse effects. One example of this is a patient taking a cytochrome P450 3A4 (CYP3A4) inhibitor such as the antibiotic clarithromycin, as well as another medication metabolized by CYP3A4 such as the anticoagulant apixaban, which results in elevated blood concentrations of apixaban and greater risk of serious bleeds. Additionally, Clarithromycin is a permeability glycoprotein (P-gp) efflux pump inhibitor, which when given with apixaban (a substrate for P-gp) will lead to increased absorption of apixaban, resulting in the same adverse effects as with CYP3A4 inhibition.
Causality assessment is used to determine the likelihood that a drug caused a suspected ADR. There are a number of different methods used to judge causation, including the Naranjo algorithm, the Venulet algorithm and the WHO causality term assessment criteria. Each have pros and cons associated with their use and most require some level of expert judgement to apply. An ADR should not be labeled as 'certain' unless the ADR abates with a challenge-dechallenge-rechallenge protocol (stopping and starting the agent in question). The chronology of the onset of the suspected ADR is important, as another substance or factor may be implicated as a cause; co-prescribed medications and underlying psychiatric conditions may be factors in the ADR.
Assigning causality to a specific agent often proves difficult, unless the event is found during a clinical study or large databases are used. Both methods have difficulties and can be fraught with error. Even in clinical studies, some ADRs may be missed as large numbers of test individuals are required to find a specific adverse drug reaction, especially for rare ADRs. Psychiatric ADRs are often missed as they are grouped together in the questionnaires used to assess the population.
Many countries have official bodies that monitor drug safety and reactions. On an international level, the WHO runs the Uppsala Monitoring Centre. The European Union runs the European Medicines Agency (EMA). In the United States, the Food and Drug Administration (FDA) is responsible for monitoring post-marketing studies. The FDA has a reporting system called the FDA Adverse Event Reporting System, where individuals can report adverse drug events. Healthcare professionals, consumers, and the pharmaceutical industry can all submit information to this system. For health products marketed in Canada, a branch of Health Canada called The Canada Vigilance Program is responsible for surveillance. Both healthcare professionals and consumers can report to this program. In Australia, the Therapeutic Goods Administration (TGA) conducts postmarket monitoring of therapeutic products. In the UK, a monitoring system called the Yellow Card Scheme was established in 1964. The Yellow Card Scheme was set up to surveil medications and other health products.
A study by the Agency for Healthcare Research and Quality (AHRQ) found that in 2011, sedatives and hypnotics were a leading source for adverse drug events seen in the hospital setting. Approximately 2.8% of all ADEs present on admission and 4.4% of ADEs that originated during a hospital stay were caused by a sedative or hypnotic drug. A second study by AHRQ found that in 2011, the most common specifically identified causes of adverse drug events that originated during hospital stays in the U.S. were steroids, antibiotics, opiates/narcotics, and anticoagulants. Patients treated in urban teaching hospitals had higher rates of ADEs involving antibiotics and opiates/narcotics compared to those treated in urban nonteaching hospitals. Those treated in private, nonprofit hospitals had higher rates of most ADE causes compared to patients treated in public or private, for-profit hospitals.
Medication related harm (MRH) is common after hospital discharge in older adults, but methodological inconsistencies between studies and a paucity of data on risk factors limits clear understanding of the epidemiology. There was a wide range in incidence, from 0.4% to 51.2% of participants, and 35% to 59% of harm was preventable. Medication related harm incidence within 30 days after discharge ranged from 167 to 500 events per 1,000 individuals discharged (17–51% of individuals).
In the U.S., females had a higher rate of ADEs involving opiates and narcotics than males in 2011, while male patients had a higher rate of anticoagulant ADEs. Nearly 8 in 1,000 adults aged 65 years or older experienced one of the four most common ADEs (steroids, antibiotics, opiates/narcotics, and anticoagulants) during hospitalization. A study showed that 48% of patients had an adverse drug reaction to at least one drug, and pharmacist involvement helps to pick up adverse drug reactions.
In 2012, McKinsey & Company concluded that the cost of the 50-100 million preventable error-related adverse drug events would be between US$18–115 billion.
An article published in The Journal of the American Medical Association (JAMA) in 2016 reported adverse drug event statistics from emergency departments around the United States in 2013-2014. From this article, an estimated prevalence of adverse drug events that were presented to the emergency department (ED) was 4 events out of every 1000 people. This article reported that 57.1% of these adverse drug events presented to the ED were in females. As well, out of all of the adverse drug events presented to the emergency department documented in this article, 17.6% were from anticoagulants, 16.1% were from antibiotics, and 13.3% from diabetic agents.
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