Interacciones medicamentosas: aproximación para establecer y evaluar su relevancia clínica

Clinical Relevance of Drug Interactions in People Living with Human Immunodeficiency Virus on Antiretroviral Therapy-Update 2022: Systematic Review

BACKGROUND

The clinical outcomes of antiretroviral drugs may be modified through drug interactions; thus, it is important to update the drug interactions in people living with HIV (PLHIV).

AIM

To update clinically relevant drug interactions in PLHIV on antiretroviral therapy with novel drug interactions published from 2017 to 2022.

METHODS

A systematic review in Medline/PubMed database from July 2017 to December 2022 using the Mesh terms antiretroviral agents and drug interactions or herb-drug interactions or food-drug interactions. Publications with drug interactions in humans, in English or Spanish, and with full-text access were retrieved. The clinical relevance of drug interactions was grouped into five levels according to the gravity and probability of occurrence.

RESULTS

A total of 366 articles were identified, with 219 (including 87 citation lists) were included, which allowed for the identification of 471 drug interaction pairs; among them, 291 were systematically reported for the first time. In total 42 (14.4%) and 137 (47.1%) were level one and two, respectively, and 233 (80.1%) pairs were explained with the pharmacokinetic mechanism. Among these 291 pairs, protease inhibitors (PIs) and ritonavir/cobicistat-boosted PIs, as well as integrase strand transfer inhibitors (InSTIs), with 70 (24.1%) and 65 (22.3%) drug interaction pairs of levels one and two, respectively, were more frequent.

CONCLUSIONS

In PLHIV on antiretroviral therapy, we identify 291 drug interaction pairs systematically reported for the first time, with 179 (61.5%) being assessed as clinically relevant (levels one and two). The pharmacokinetic mechanism was the most frequently identified. PIs, ritonavir/cobicistat-boosted PIs, and InSTIs were the antiretroviral groups with the highest number of clinically relevant drug interaction pairs (levels one and two).

Clinical Relevance of Drug Interactions with Cannabis: A Systematic Review

Concomitant use of cannabis with other drugs may lead to cannabis–drug interactions, mainly due to the pharmacokinetic mechanism involving the family of CYP450 isoenzymes. This narrative systematic review aimed to systematize the available information regarding clinical relevance of cannabis–drug interactions. We utilized the PubMed/Medline database for this systematic review, using the terms drug interactions and cannabis, between June 2011 and June 2021. Articles with cannabis–drug interactions in humans, in English or Spanish, with full-text access were selected. Two researchers evaluated the article’s inclusion. The level of clinical relevance was determined according to the severity and probability of the interaction. Ninety-five articles were identified and twenty-six were included. Overall, 19 pairs of drug interactions with medicinal or recreational cannabis were identified in humans. According to severity and probability, 1, 2, 12, and 4 pairs of cannabis–drug interactions were classified at levels 1 (very high risk), 2 (high risk), 3 (medium risk), and 5 (without risk), respectively. Cannabis–warfarin was classified at level 1, and cannabis–buprenorphine and tacrolimus at level 2. This review provides evidence for both the low probability of the occurrence of clinically relevant drug interactions and the lack of evidence regarding cannabis–drug interactions.

Population pharmacokinetics of phenobarbital in Caucasian patients with epilepsy

The present study aimed to establish a population pharmacokinetic (PopPK) model of Phenobarbital (PB) in Caucasian patients with epilepsy included in a Therapeutic Drug Monitoring program. In total, 855 PB serum concentrations (steady-state trough concentrations) were retrospectively collected during routine clinical monitoring of 395 patients over 15 years of age with epilepsy. The PopPK analysis was performed with NONMEM using a non-linear mixed-effect modelling approach. The influence of demographic, anthropometric, treatment, and comedication variables on the apparent clearance (CL/F) of PB were analysed. Goodness of fit plots and the bootstrap method were performed to evaluate the final model. External validation was carried out using an independent group of patients (107 patients, 178 blood samples). A one-compartment model with first-order absorption and elimination successfully described the data. In the final model, CL/F included body surface area (BSA) and comedication with phenytoin (PHT) and valproic acid (VPA), resulting in the following equation: CL/F[L/h]=(0.236+(0.115×(BSA-1.7)))×(0.822^PHT)×(0.711^VPA) The model presents acceptable estimation errors in the parameters of fixed (<12%) and random effects (<13%), and of the shrinkage values (<21%). Internal and external validations demonstrated the good predictability of the final model. A PopPK model of PB in Caucasian patients over 15 years of age was successfully established, which can be used to estimate phenobarbital CL/F. BSA and drug-drug interactions with PHT and VPA should be incorporated into dosing decisions. This PopPK, using Bayesian algorithms, could help establish an optimal dosage regimen in routine patient care.

Free software to analyse the clinical relevance of drug interactions with antiretroviral agents (SIMARV®) in patients with HIV/AIDS

BACKGROUND

Highly active antiretroviral therapy has extended the expected lifespan of patients with HIV/AIDS. However, the therapeutic benefits of some drugs used simultaneously with highly active antiretroviral therapy may be adversely affected by drug interactions.

OBJECTIVE

The goal was to design and develop a free software to facilitate analysis, assessment, and clinical decision making according to the clinical relevance of drug interactions in patients with HIV/AIDS.

METHODS

A comprehensive Medline/PubMed database search of drug interactions was performed. Articles that recognized any drug interactions in HIV disease were selected. The publications accessed were limited to human studies in English or Spanish, with full texts retrieved. Drug interactions were analyzed, assessed, and grouped into four levels of clinical relevance according to gravity and probability. Software to systematize the information regarding drug interactions and their clinical relevance was designed and developed.

RESULTS

Overall, 952 different references were retrieved and 446 selected; in addition, 67 articles were selected from the citation lists of identified articles. A total of 2119 pairs of drug interactions were identified; of this group, 2006 (94.7%) were drug-drug interactions, 1982 (93.5%) had an identified pharmacokinetic mechanism, and 1409 (66.5%) were mediated by enzyme inhibition. In terms of clinical relevance, 1285 (60.6%) drug interactions were clinically significant in patients with HIV (levels 1 and 2). With this information, a software program that facilitates identification and assessment of the clinical relevance of antiretroviral drug interactions (SIMARV^®) was developed.

CONCLUSIONS

A free software package with information on 2119 pairs of antiretroviral drug interactions was designed and developed that could facilitate analysis, assessment, and clinical decision making according to the clinical relevance of drug interactions in patients with HIV/AIDS.

[Risk of pharmacological interactions due to the co-administration of statins and cytochrome P450 isoenzyme 3A4-metabolized drugs: multicentre, crossover study]

BACKGROUND AND OBJECTIVES

Statins are safe but have a significant potential for pharmacological interactions. The objective of the study was to evaluate the prevalence of potential interactions throughout the cytochrome P450 isoenzyme 3A4 (CYP3A4) system in a large sample of statin-treated subjects and to determine which factors, from the patient and the physician, were associated with a higher risk of interactions.

PATIENTS AND METHODS

This is an observational, cross-over, population study that included 7,880 subjects treated with statins. Both data from patients and from the1,681 participating physicians were recorded and analyzed.

RESULTS

Fifty-nine percent of the participants were receiving a statin metabolized by the CYP3A4, and 21.5% of all participants received a drug, different from a statin, metabolized by the CYP3A4. There were no differences in the frequency of utilization of statins metabolized or not by the CYP3A4 in relation to the simultaneous prescription of drugs metabolized by the same pathway (22 vs. 21%, respectively). Globally, 12.9% of all participants were at risk of an interaction. These patients were older, received a higher number of drugs and had more comorbidity. Sixty percent of the physicians mentioned that the possibility of an interaction greatly conditioned their selection of a particular statin. Likewise, 56% of them had software that alerted of possible interactions. These aspects, however, did not influence the number of patients at risk of interactions.

CONCLUSION

The proportion of statin-treated patients at risk of interaction is elevated. Physicians do not usually pay attention to this possibility despite having available alert software and therapeutic alternatives.

[Clinical relevance of drug interactions between nonsteroidal antiinflammatory drugs (NSAIDs) and antihypertensives]

Objetivo

Establecer la relevancia clínica de las interacciones medicamentosas reportadas entre antiinflamatorios no esteroideos (AINE) y antihipertensivos basándose en la gravedad y la probabilidad de ocurrencia de la interacción.

Diseño

Revisión sistemática.

Fuentes de datos

Se realizó una búsqueda en PubMed/Medline utilizando los términos Mesh: NSAIDs, Antihypertensive drugs y Drug interactions.

Extracción de datos

Se incluyeron publicaciones entre 2002 y 2012 de estudios en humanos, en español e inglés y con acceso a texto completo. Fueron incluidos los artículos que la búsqueda arrojó y algunas de las referencias usadas en dichos trabajos. Fueron excluidos los trabajos con métodos in vitro, con efectos sobre la hipertensión ocular y aquellos que no consideraran la interacción AINE-antihipertensivos. Para la selección de los trabajos incluidos participaron 3 revisores independientes. Se usó una herramienta especialmente diseñada para la extracción de datos y análisis de la relevancia clínica de la interacción.

Resultados

Se incluyeron 19 artículos de los 50 encontrados. Allí se identificaron 21 interacciones de mecanismo farmacodinámico, clasificadas por su relevancia clínica en nivel 2 (riesgo alto; 76,2%) y nivel 3 (riesgo medio; 23,8%). Adicionalmente se encontró evidencia de 16 combinaciones que no presentaron interacción.

Conclusiones

Algunos AINE pueden disminuir la efectividad del tratamiento antihipertensivo cuando se utilizan simultáneamente con antihipertensivos, en especial con inhibidores de la enzima conversora de angiotensina, diuréticos, bloqueadores beta y antagonistas de los receptores de angiotensina. No se encontró evidencia de la modificación del efecto de los antagonistas de los canales de calcio, especialmente dihidropiridínicos, por el uso simultáneo con AINE.

[Effect of drug interaction between clopidogrel and omeprazole in hospital readmision of patients by a recurrent acute coronary syndrome: a case-control study]

Objetivo

Evaluar el efecto de la interacción clopidogrel-omeprazol en el reingreso hospitalario de pacientes por recidiva de síndrome coronario agudo (SCA)

Diseño

Estudio de casos y controles

Emplazamiento

IPS Universitaria Clínica León XIII, Medellín, Colombia.

Participantes

Se seleccionaron a partir de una población prevalente, entre 2009-2010, pacientes con uso de clopidogrel de forma ambulatoria (menor a un año y superior a 30 días), y la estancia hospitalaria por un SCA o la presencia de un SCA previo.

Medidas principales

Un paciente-caso se definió como aquel que presentó una recidiva de SCA y un paciente-control se definió como aquel que no presentó recidiva de SCA. Ambos grupos utilizaron ambulatoriamente clopidogrel debido al SCA previo. Como factor de riesgo se definió la utilización conjunta de omeprazol y clopidogrel ambulatoriamente.

Resultados

Durante el estudio se formuló clopidogrel a 1.680 pacientes. En este grupo se identificaron 50 casos readmitidos con SCA y 76 controles. No se encontró asociación estadísticamente significativa entre el uso de clopidogrel-omeprazol y un mayor riesgo de reingreso hospitalario por SCA (OR: 1,05; IC 95%: 0,516-2,152; p = 0,8851).

Conclusiones

En este pequeño grupo de pacientes con SCA previo, la utilización simultánea de clopidogrel con omeprazol no aumenta el riesgo de un reingreso hospitalario por recurrencia de este tipo de evento coronario.

Prevalence of potential drug interactions in patients in an intensive care unit of a university hospital in Brazil

OBJECTIVES

To investigate the prevalence of potential drug interactions at the intensive care unit of a university hospital in Brazil and to analyze their clinical significance.

METHODS

This cross-sectional retrospective study included 299 patients who had been hospitalized in the intensive care unit of the hospital. The drugs administered during the first 24 hours of hospitalization, in the 50th length-ofstay percentile and at the time of discharge were analyzed to identify potential drug-drug and drug-enteral nutrition interactions using DRUG-REAXH software. The drugs were classified according to the anatomical therapeutic chemical classification.

RESULTS

The median number of medications per patient was smaller at the time of discharge than in the 50th length-of-stay percentile and in the first 24 hours of hospitalization. There was a 70% prevalence of potential drug interactions at the intensive care unit at the studied time points of hospitalization. Most of the drug interactions were either severe or moderate, and the scientific evidence for the interactions was, in general, either good or excellent. Pharmacodynamic interactions presented a subtle predominance in relation to pharmacokinetic interactions. The occurrence of potential drug interactions was associated with the number of medications administered and the length of stay. Medications that induced cytochrome P450, drugs that prolong the QT interval and cardiovascular drugs were pharmacotherapy factors associated with potential drug interactions.

CONCLUSION

The study showed that potential drug interactions were prevalent in the intensive care unit due to the complexity of the pharmacotherapies administered. The interactions were associated with the number of drugs, the length of stay and the characteristics of the administered medications.

Evaluation of three brands of drug interaction software for use in intensive care units

OBJECTIVE

To evaluate drug interaction software programs and determine their accuracy in identifying drug-drug interactions that may occur in intensive care units. Setting The study was developed in Brazil.

METHOD

Drug interaction software programs were identified through a bibliographic search in PUBMED and in LILACS (database related to the health sciences published in Latin American and Caribbean countries). The programs' sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting drug-drug interactions. The accuracy of the software programs identified was determined using 100 clinically important interactions and 100 clinically unimportant ones. Stockley's Drug Interactions 8th edition was employed as the gold standard in the identification of drug-drug interaction.

MAIN OUTCOME

Sensitivity, specificity, positive and negative predictive values.

RESULTS

The programs studied were: Drug Interaction Checker (DIC), Drug-Reax (DR), and Lexi-Interact (LI). DR displayed the highest sensitivity (0.88) and DIC showed the lowest (0.69). A close similarity was observed among the programs regarding specificity (0.88-0.92) and positive predictive values (0.88-0.89). The DIC had the lowest negative predictive value (0.75) and DR the highest (0.91).

CONCLUSION

The DR and LI programs displayed appropriate sensitivity and specificity for identifying drug-drug interactions of interest in intensive care units. Drug interaction software programs help pharmacists and health care teams in the prevention and recognition of drug-drug interactions and optimize safety and quality of care delivered in intensive care units.

Quality of interaction database management systems

Objective

To identify drug interaction databases (DID) and assess the quality of their structures.

Method

A search was made of the literature for DID and a series of exclusion and structural quality criteria were defined (at least 4 quality criteria: classification according to severity, classification according to level of evidence, bibliographical reference data, description of clinical management, and 11 criteria used for weighting). The level of compliance of every DID with the criteria defined was analysed, together with the level of compliance of each criteria in each DID.

Results

A total of 54 DID were identified, 30 of which complied with exclusion criteria and 15 of which did not meet the minimum criteria. The rest of the criteria were evaluated in 9 DID: Botplus and Medinteract (100%), SEFH Guide, Lexi-interact and Medscape (89%), Hansten (83%), Micromedex and Stockley (78%), Drug Interactions Facts (68%). Ninety-two percent of the DID describe the mechanism of action, 87% classify the information according to the active ingredient, 75% do not state they have any conflict of interest, classify according to level of severity, have electronic format, and are easy to search. A total of 67% are specific DID, 62% are classified according to level of evidence, contain bibliographical references, and describe clinical management.

Conclusions

A third of the DID comply with the minimum criteria. Differences were observed in the level and compliance criteria among Spanish and foreign DID. Some of the main DID used as references in the bibliography have significant structural defects: no web presentation, no multi-check function and others.