Potential drug-drug interactions in hospitalised haematological patients

Concordance analysis of two databases to search for potential drug interactions in onco-hematologic patients

INTRODUCTION

Potential drug interactions exert a significant impact on patient safety, especially within intricate onco-hematological treatments, potentially resulting in toxicity or treatment failures. Despite the availability of databases for potential drug interaction investigation, persistent heterogeneity in concordance rates and classifications exists. The additional variability in database agreement poses further complexity, notably in critical contexts like onco-hematology.

AIM

To analyze the concordance of two databases for researching potential drug interaction in prescriptions for hematological patients at a University Hospital in the Midwest region of Brazil.

METHOD

Cross-sectional study developed in a Brazilian hospital. The search for potential drug interaction was conducted in Micromedex® and UpToDate®. The variables were: the presence of potential drug interaction, severity, mechanism, management, and documentation. Data was analyzed in terms of frequency (absolute and relative), Cohen's kappa, and Fleiss kappa.

RESULTS

The presence of potential drug interaction, showed a lack of concordance between the databases (k = -0.115 [95% CI: 0.361-0.532], p = 0.003). Regarding the mechanism, a strong agreement was observed (k = 0.805, p < 0.001 [95% CI: 0.550-0.941]). The management concordance showed a fair agreement, 46.8% (k = 0.22, p < 0.001 [95% CI: 0.099-0.341]). Stratifying the categories, significant concordance was observed in "Adjustment of dose + Monitoring" (k = 0.302, p = 0.018) and "Monitoring" (k = 0.417, p = 0.001), while other categories did not reach statistical significance.

CONCLUSION

Our study emphasizes the variability in potential drug interaction research, revealing disparities in severity classification, management recommendations, and documentation practices across databases.

Prevalence and factors associated with potential drug-drug interactions in prescriptions presented at private pharmacies in Mbarara city, southwestern Uganda

BACKGROUND

Drug-drug interactions (DDIs) influence the effectiveness of medication and thus determine the treatment outcomes of diseases managed with pharmacotherapy. This study aimed to determine the prevalence, severity, and factors associated with potential drug-drug interactions in prescriptions presented at private pharmacies in Mbarara city.

METHODS

DDIs were identified and classified basing on risk and severity using Lexicomp drug interaction database. STATA version 13 was used to analyze the collected data. Descriptive statistics were used to summarize the severity of potential DDIs identified. Bivariate and multivariate logistic regression was employed to identify different factors associated with the presence of potential DDIs.

RESULTS

A total of 295 prescriptions from 18 private pharmacies were studied and the prevalence of clinically significant potential DDIs was 37.6%. About half (149, 50.5%) of the patients were females, the majority (199, 67.5%) were adults 18-59 years of age whereas most (208, 70.5%) had a comorbid condition. Over one half (162, 54.9%) of the prescriptions were received from hospitals and majority of the prescriptions had 4 drugs prescribed (n = 175, 59.32%). Having one or more comorbidities and prescribing of therapeutic drug categories including anti-fungal, antihypertensives, analgesics, or corticosteroids were significantly associated with potential DDIs.

CONCLUSIONS

The prevalence of potential drug-drug interactions in outpatient setting in Mbarara city was high and majority of the potential DDIs were of moderate severity. Having 1 or more comorbidities and prescribing of therapeutic drug categories including antifungals, antihypertensives, analgesics, or corticosteroids were significantly associated with potential DDIs.

Antifungal Drug-Drug Interactions with Commonly Used Pharmaceutics in European Pediatric Patients with Acute Lymphoblastic Leukemia

Leukemia is one of the leading childhood malignancies, with acute lymphoblastic leukemia (ALL) being the most common type. Invasive fungal disease is a concerning problem also at pediatric hemato-oncology units. Available guidelines underline the need for antifungal prophylaxis and give recommendations for proper treatment in various clinical scenarios. Nonetheless, antifungal agents are often involved in drug-drug interaction (DDI) occurrence. The prediction of those interactions in the pediatric population is complicated because of the physiological differences in adults, and the lack of pharmacological data. In this review, we discuss the potential DDIs between antifungal agents and commonly used pharmaceutics in pediatric hemato-oncology settings, with special emphasis on the use of liposomal amphotericin B and ALL treatment. We obtained information from Micromedex^® and Drugs.com^® interaction checking databases and checked the EudraVigilance^® database to source the frequency of severe adverse drug reactions that resulted from antifungal drug interactions. Several major DDIs were identified, showing a favorable safety profile of echinocandins and liposomal amphotericin B. Interestingly, although there are numerous available drug interaction checking tools facilitating the identification of potential serious DDIs, it is important to use more than one tool, as the presented searching results may differ between particular checking programs.

Impact of the insertion of the clinical pharmacist in the Allogeneic Hematopoietic Stem Cells Transplantation team

INTRODUCTION

Allogeneic Hematopoietic Stem Cells Transplantation (allo-HSCT) is capable of curing patients with neoplastic or non-neoplastic hematologic disorders or of prolonging their survival. This study assessed if the insertion of the clinical pharmacist in the allo-HSCT team modified the outcomes: transplantation-related mortality, grafting failure, incidence of Graft versus Host Disease, hospitalization time, time for grafting, number of readmissions, number of drug-related problems (DRPs), adherence and knowledge about pharmacotherapy.

METHODS

Interventional study with historical control carried out in an allo-HSCT unit, in which the intervention group (IG) included 33 individuals who received pharmacotherapy follow-up. Control Group (CG) consisted of 28 individuals.

RESULTS

A total of 250 DRPs were identified, 59 team's doubts were clarified, and 309 interventions were conducted in the IG. The DRPs mainly arose from safety (51.60%) and effectiveness (38.40%) problems. A mean of 9.36 (SD = 6.97) interventions per patient was obtained, mainly including dose reductions (19.09%), adjustments in administration time (18.12%), educational activities (15.21%) and drug removal (10.68%). Clinical significance of the interventions was considered high (75.7% extremely significant, very significant or significant), as well as their acceptability (89.7% accepted). Each patient attended a mean of 4.68 pharmaceutical consultations (SD = 1.91) after hospital discharge, presenting increase in knowledge (p = 0.0001) and in adherence (p = 0.0115). There was no evidence of differences between the groups in the other outcomes analyzed.

CONCLUSIONS

The pharmacotherapy follow-up allowed detecting several DRPs and performing interventions of high clinical relevance and acceptability, in addition to improving adherence and individualizing the pharmacotherapy.

Prevalence of Potential Pharmacological Interactions in Patients Undergoing Systemic Chemotherapy in a Tertiary Hospital

Introduction: Pharmacological interactions are frequently observed in patients with chronic diseases, and their occurrence is proportional to the amount of medication used daily. Patients undergoing chemotherapy treatment commonly have comorbidities, which favor a greater prevalence of polypharmacy, increasing the risk of drug interactions. Therefore, the aim of this study was to estimate the prevalence of drug interactions in patients undergoing intravenous chemotherapy treated at a hospital oncology service in southern Brazil. Methods: This was an observational study with a cross-sectional design that was carried out with the analysis of secondary data obtained through the review of medical records. The population assessed consisted of all cancer patients who received intravenous chemotherapy from October to December 2020. Results: Out of the 297 patients included in the study, 231 (77.8%) had at least 1 potential pharmacological interaction. In total, 1044 drug interactions were found that were classified according to severity, resulting in 18 (1.7%) contraindicated drug-drug interactions (DDI), 699 (67%) severe, 281 (26.9%) moderate, and 46 (4.4%) minor interactions. There was an association between polypharmacy and the prevalence of drug interactions. Conclusion: The results demonstrate that a large percentage of patients undergoing chemotherapy are susceptible to drug interactions. Thus, it is necessary that prescribers consider all drugs used by patients and, when possible, prescribe alternative drugs that have less potential for interaction in order to prevent drug interactions adverse effects and provide a better prognosis for patients.

A comparison of four drug-drug interaction databases for patients undergoing haematopoietic stem cell transplantation

WHAT IS KNOWN AND OBJECTIVE

Patients who have undergone haematopoietic stem cell transplantation are prone to drug-drug interactions due to polypharmacy. Drug-drug interaction databases are essential tools for identifying interactions in this patient group. However, drug-drug interaction checkers, which help manage interactions, may have disagreements about assessing the existence or severance of the interactions. The study aimed to determine differences among popular drug-drug interaction databases from several angles for patients who underwent haematopoietic stem cell transplantation.

METHODS

The 21-day treatment sheets of one hundred patients who underwent haematopoietic stem cell transplantation were examined in two subscription-based (Uptodate and Micromedex) and two open-access databases (Drugs.com and Epocrates) in terms of several categories two years in a row. Statistical analysis was utilized to understand the compatibility of databases in terms of severity scores, evidence levels, given references, and word counts in interaction reports. Fleiss' and Cohen's kappa statistics were used to analyse the databases' agreement levels.

RESULTS AND DISCUSSION

A total of 1393 and 1382 different drug-drug interactions were detected in subsequent versions of the databases, namely the 2021 and 2022 versions. The Fleiss kappa overall agreement among databases was slight. Uptodate and Micromedex showed fair agreement, and other database pairs showed slight agreement in severity ratings.

CONCLUSION

There was a poor agreement among databases for interactions seen in bone marrow transplantation patients. Therefore, it would be safer to use more than one database in daily practice. Further work needs to be done to understand the agreement level of databases for different types of interactions.

Isavuconazole for COVID-19-Associated Invasive Mold Infections

Isavuconazole is a broad-spectrum antifungal drug recently approved as a first-line treatment for invasive aspergillosis and as a first or alternative treatment for mucormycosis. The purpose of this review was to report and discuss the use of isavuconazole for the treatment of COVID-19-associated aspergillosis (CAPA), and COVID-19-associated mucormycosis (CAM). Among all studies which reported treatment of CAPA, approximately 10% of patients were reportedly treated with isavuconazole. Considering 14 identified studies that reported the use of isavuconazole for CAPA, isavuconazole was used in 40% of patients (95 of 235 treated patients), being first-line monotherapy in over half of them. We identified six studies that reported isavuconazole use in CAM, either alone or in combination therapy. Overall, isavuconazole was used as therapy in 13% of treated CAM patients, frequently as combination or sequential therapy. The use of isavuconazole in CAPA and CAM is complicated by the challenge of achieving adequate exposure in COVID-19 patients who are frequently obese and hospitalized in the ICU with concomitant renal replacement therapy (RRT) or extracorporeal membrane oxygenation (ECMO). The presence of data on high efficacy in the treatment of aspergillosis, lower potential for drug–drug interactions (DDIs) and for subtherapeutic levels, and no risk of QT prolongation compared to other mold-active azoles, better safety profile than voriconazole, and the possibility of using an intravenous formulation in the case of renal failure are the advantages of using isavuconazole in this setting.

Impacto do tratamento oncológico na qualidade de vida de idosas com câncer de mama atendidas pelo Sistema Único de Saúde

Objetivos: avaliar a qualidade de vida (QV), as interações medicamentosas e a adesão ao tratamento em pacientes idosas com câncer de mama que realizaram tratamento oncológico pelo Sistema Único de Saúde (SUS).Métodos: coorte prospectiva, com seis meses de seguimento, que incluiu pacientes idosas com câncer de mama atendidas em Hospital Universitário de Porto Alegre e atendidas pelo SUS. Foram selecionadas mulheres com idade ≥ 60 anos, divididas em dois grupos (60-69 anos e ≥ 70 anos).Resultados: 38 pacientes foram incluídas nas análises sobre QV e adesão ao tratamento. Dentro da classificação molecular, os subtipos mais diagnosticados foram, Luminal B/Her2- (34,2%), Luminal A (26,3%), Luminal B/HER2+ (21,1%). Os sintomas físicos mais relacionados à doença, no momento do diagnóstico, foram insônia, rigidez musculoesquelética, preocupação com os outros e com o futuro. Em contrapartida, seis meses depois os resultados menos favoráveis foram fadiga, náusea e vômito, dispneia, dor, inapetência, constipação, diarreia, problemas financeiros, efeitos adversos da terapia sistêmica, sintomas nas mamas e braços e alopecia. Baixos níveis de adesão ao tratamento foram identificados em 67,6% das pacientes. A polifarmácia foi evidenciada em 60,6%, e foi observada ao menos uma interação medicamentosa potencial em 78,8% da amostra. A média de medicamentos utilizados foi de 7,24 (DP= 3,77).Conclusões: este estudo demonstrou a importância do acompanhamento da população idosa com câncer de mama que faz uso de tratamento quimioterápico, a fim de compreender as implicações da senescência, bem como melhorar as taxas de adesão à terapia e a qualidade de vida desta população.

Comparison of different decision support software programs in perspective of potential drug-drug interactions in the oncology clinic

INTRODUCTION

One of the most intriguing situations for healthcare providers is cancer therapy. Drug-drug interactions (DDIs) account for 20-30% of all adverse effects. Cancer patients are more likely to have potential-DDIs since they are taking other drugs with anticancer treatments to prevent the side effects of chemotherapeutic agents. The purpose of this research is to compare various decision support software (CDSS) programs in terms of potential DDIs.

METHODS

A cross-sectional study was carried out. A clinical pharmacist assessed the treatment regimens of 231 cancer patients. pDDIs were evaluated using three sources: Lexicomp®, Medscape®, and Micromedex®. The ethical approval was given in November 2017 with decision number 21/286.

RESULTS

A total of 231 participants who were receiving therapy and had a median age of 61.5 ± 9.18 years were assessed. Almost half of the patients (49%) were female, and 155 had at least one comorbidity in addition to cancer. Medscape had a substantial pDDI ratio of 7.09%, Micromedex had a ratio of 11.15%, and Lexicomp had a ratio of 19.50%. The total number of pDDIs for major/X/contraindicated were 363-2716 (1.56-11.7 pDDI/patient) for Medscape®, 60-1723 (0.26-7.4 pDDI/patient) for Micromedex, and 145-984 (0.62-2.24 pDDI/patient) for Lexicomp®. One of the most common pDDI found was diclofenac and dexamethasone. Interactions between escitalopram and granisetron were also common, and different CDSSs made different recommendations.

CONCLUSIONS

In this study, significant disparities in the quantity and severity of CDSS across distinct CDSS were discovered. One of the major finding of our study was suboptimal prescribing. To address this issue, regulatory organizations should establish and verify validation and reporting mechanisms.

Assessment of Physician's Knowledge of Potential Drug-Drug Interactions: An Online Survey in China

Background: Drug interactions are the most common preventable cause of adverse drug reaction, which may result in drug toxicity or undesired therapeutic effect with harmful outcomes to patients. Given the rising use of combination therapies, the main objectives of this study were to estimate the degree to which physicians can identify potential drug-drug interactions (PDDIs) correctly and to describe the common source of information used by physicians when they need to check PDDIs. Methods: A cross-sectional survey utilizing a self-administered online questionnaire was conducted among physicians in China. Participants were asked to classify 20 drug pairs as "no interaction," "may be used together with monitoring," "contraindication," and "not sure." We also collected data on the physician's source of information and altitude toward the PDDIs. An ordinary least square regression model was performed to investigate the potential predictors of PDDI knowledge. Results: Eligible questionnaires were obtained from 618 physicians. The respondents classified correctly 6.7 out of 20 drug pairs, or 33.4% of the drug interactions investigated. The number of drug pairs recognized by respondents was ranged from 0 to 16. The percentage of physicians who recognized specific drug pairs ranged from 8.3% for no interactions between conjugated estrogens and raloxifene, to 64.0% for the interaction between dopamine and phenytoin. When the respondents want to check PDDI information, the most commonly used source of information was package inserts (n = 572, 92.6%), followed by the Internet or mobile Apps (n = 424, 68.6%), consultation with clinical pharmacists (n = 384, 62.1%), medical textbooks (n = 374, 60.5%), knowledge base in Chinese (n = 283, 45.8%), and other physicians (n = 366, 59.2%). In the multiple regression analysis, the significant predictors of a higher number of recognized drug pairs were years of practice and altitudes toward PDDIs. Conclusion: In this online survey accessing physician's ability to detect PDDIs, less than half of the drug pairs were recognized, indicating unsatisfactory level of knowledge about the clinically significant drug interactions. Continuing education and accessible electronic database can help physicians detecting PDDIs and improve drug safety.

Prevalence of potential drug-drug interactions in outpatients of a general hospital in China: a retrospective investigation

Background Potential drug–drug interactions are important factors resulting in adverse drug reactions or therapeutic failure. Therefore, potential drug–drug interactions need to be identified to prevent the related risk and improve drug safety. Objective This study was designed to determine the prevalence of potential drug–drug interactions and investigate the association of potential drug–drug interactions with characteristics in outpatient prescriptions. Setting A large-scale general university hospital in Jinshan District of Shanghai, China. Method The retrospective study was conducted on data obtained from prescriptions containing two or more drugs, written for outpatients older than 18 years. They were screened for potential drug–drug interactions using Lexi-Interact in UpToDate, Stockley’s Drug Interactions and Medicine Specification in the order of priority. Main outcome measure Drug–drug interactions with C, D, X risk rating and clinical parameters recorded at the prescriptions. Results 16,120 prescriptions were screened for the presence of potential drug–drug interactions and 4882 (30.29%) prescriptions containing 6667 potential drug–drug interactions were identified. Among 6667 potential drug–drug interactions, 90.81% (6054/6667), 8.49% (566/6667), 0.70% (47/6667) potential drug–drug interactions belonged to the risk category of C, D and X, respectively. Male, old age and polypharmacy increased the likelihood of potential drug–drug interactions. The most frequently prescribed drugs responsible for potential drug–drug interactions included pioglitazone, dihydrocodeine, thalidomide, sotalol, amiodarone and amlodipine. The predominant potential adverse outcome of potential drug–drug interactions was the increased central nervous system suppression function with the mechanism of reinforced pharmacological effects. Conclusion This study showed that potentially significant drug–drug interactions in outpatients were prevalent in real-world practice. Considering the risk of potential clinical consequences related to potential drug–drug interactions, it is necessary to implement the computerized surveillance and warning systems with drug–drug interactions databases as well as develop the clinical guidelines regarding the widespread potential drug–drug interactions.