Changing patterns in the epidemiology of drug allergy

Doña, Immaculada; Torres, Maria Jose; Celik, Gulfem; Phillips, Elizabeth; Tanno, Luciana Kase; Castells, Mariana

doi:10.1111/all.15970

Cited by 5 publications

(3 citation statements)

References 170 publications

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“…Chronic diseases enhance the risk of DA due to impaired metabolism at kidney and liver [ 80 ]. Several studies reported that HRs are more common in children with cystic fibrosis (CF); particularly the frequency of BL HRs is higher.…”

Section: Risk Factors Related To the Hostmentioning

confidence: 99%

“…The same results have been observed by Lalic M et al [ 128 ] who additionally demonstrated that high starting dose AEDs was another risk factor. Moreover, prolonged high dose repeated exposures after treatment suspension, are more likely to lead to HRs than a large single dose since they enhance immune recognition [ 80 , 129 ]. Finally, children are at special risks for HRs since unfriendly dosing formulations of drugs or miscalculation of some health care professional can lead to tenfold overdoses in administration of medicine.…”

Section: Risk Factors Related To the Drugmentioning

confidence: 99%

“…Topical, intramuscular, and intravenous routes of administration are more likely to cause allergic drug reactions than oral administration. Moreover, parental administration is associated with more severe reactions because of a more rapid absorption and presentation to immune system [ 80 , 129 , 131 ].…”

Section: Risk Factors Related To the Drugmentioning

confidence: 99%

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Risk factors for drug hypersensitivity reactions in children

Mori,

Saretta,

Riscassi

et al. 2024

Ital J Pediatr

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Drug hypersensitivity reactions are common in children. Risk factors predisposing to IgE-mediated drug allergies and delayed drug reactions are a matter of debate. Gender, age, previous reactions to the same drug or to another drug, reduced drug metabolism, chronic diseases, polypharmacy, drug doses are linked with the onset of hypersensitivity reactions in some children. Novel advances in genetic polymorphisms can rapidly change the approach to the prevention of reactions since gene testing can be a useful screening test for severe cutaneous adverse reactions. Viral infections may act as cofactors in susceptible individuals. Polypharmacy, high doses, repeated doses and parental route of administration are also risk factors. Clinicians should take into account risk factors to allow the risk–benefit balance to be maintained.

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Section: Risk Factors Related To the Hostmentioning

confidence: 99%

Section: Risk Factors Related To the Drugmentioning

confidence: 99%

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Risk factors for drug hypersensitivity reactions in children

Mori,

Saretta,

Riscassi

et al. 2024

Ital J Pediatr

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Predictive models and applicability of artificial intelligence-based approaches in drug allergy

Núñez,

Doña,

Cornejo-García

2024

Current Opinion in Allergy &Amp; Clinical Immunology

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Purpose of review Drug allergy is responsible for a huge burden on public healthcare systems, representing in some instances a threat for patient's life. Diagnosis is complex due to the heterogeneity of clinical phenotypes and mechanisms involved, the limitations of in vitro tests, and the associated risk to in vivo tests. Predictive models, including those using recent advances in artificial intelligence, may circumvent these drawbacks, leading to an appropriate classification of patients and improving their management in clinical settings. Recent findings Scores and predictive models to assess drug allergy development, including patient risk stratification, are scarce and usually apply logistic regression analysis. Over recent years, different methods encompassed under the general umbrella of artificial intelligence, including machine and deep learning, and artificial neural networks, are emerging as powerful tools to provide reliable and optimal models for clinical diagnosis, prediction, and precision medicine in different types of drug allergy. Summary This review provides general concepts and current evidence supporting the potential utility of predictive models and artificial intelligence branches in drug allergy diagnosis.

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Drug allergy awareness and perspectives with the implementation of the International Classification of Diseases-11

Tanno,

Briand,

Perie

et al. 2024

Current Opinion in Allergy &Amp; Clinical Immunology

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Purpose of review To understand the current global scale of drug hypersensitivity (DH) and drug allergy (DA), and to identify possible strategies to increase the accuracy of epidemiological data. Recent findings Global patterns of DH/DA seem to be changing and increasing worldwide, but there are still great challenges in capturing quality DH/DA mortality and morbidity statistics (MMS). DH/DA MMS may gain new perspectives with the global implementation of the International Classification of Diseases (ICD)-11. Improving the quality of epidemiological data related to DH/DA should clarify areas of uncertainty, which would lead to better strategies to reduce the burden of these conditions. Summary DH/DA remains a complex and unaddressed problem globally that often deprives patients of optimal medication choices and places them at risk for life-threatening reactions. DH/DA labels should contribute to people well being, by protecting true allergic individuals from being re-exposed to their allergic drugs and providing needed medications to individuals wrongly labeled as allergic or who have lost allergic sensitivity. The true rate of DH/DA is in fact unknown due to a number of factors, such as misdiagnosis, miscoding and under- and over-notification, among others. Moreover, there is lack of data about DH/DA epidemiology in many countries. Difficulties on collecting accurate and comparable data should be acknowledged, with great impact in the correct labeling DH/DA in electronic health records and official statistics. More accurate definitions, classification and coding may contribute to a better-quality MMS thanks to the ICD-11, under implementation worldwide. Improving the quality of epidemiological data related to DH/DA should clarify areas of uncertainty, which would lead to better strategies to reduce the burden of these conditions. As knowledge derived from populations is key information for more realistic decision-making, the construction of the new section addressed to DH/DA in the ICD-11 will allow the collection of more accurate epidemiological data to support quality management of patients, and facilitate healthcare planning to implement public health measures to prevent and reduce the morbidity and mortality attributable to these conditions.

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Changing patterns in the epidemiology of drug allergy

Cited by 5 publications

References 170 publications

Risk factors for drug hypersensitivity reactions in children

Risk factors for drug hypersensitivity reactions in children

Predictive models and applicability of artificial intelligence-based approaches in drug allergy

Drug allergy awareness and perspectives with the implementation of the International Classification of Diseases-11

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