Novel cathepsin C inhibitor, BI 1291583, intended for treatment of bronchiectasis: Phase I characterization in healthy volunteers.

Novel treatments are needed to reduce inflammation, improve symptoms, address exacerbations, and slow disease progression in bronchiectasis. Cathepsin C (CatC) inhibition promises to achieve this through reduction of neutrophil-derived serine protease (including neutrophil elastase [NE] and proteinase 3 [PR3]) activation. Here, we present the phase I characterization of the novel CatC inhibitor, BI 1291583. Five phase I trials of BI 1291583 in healthy subjects are presented: a single-rising-dose study (NCT03414008) and two multiple-rising-dose studies (NCT03868540 and NCT04866160) assessing the safety, tolerability, pharmacodynamics, and pharmacokinetics of BI 1291583; a food effect study (NCT03837964); and a drug-drug interaction study (NCT03890887) of BI 1291583 and itraconazole. BI 1291583 was safe and well tolerated across the doses tested in these trials. Most adverse events (AEs) were mild or moderate in intensity, with no serious AEs, AEs of special interest or deaths reported in any trial. Drug-related skin exfoliation was not reported more frequently in subjects treated with BI 1291583 compared with placebo. BI 1291583 was readily absorbed, and pharmacokinetics were supra-proportional over the dose ranges assessed. Additionally, BI 1291583 inhibited CatC in a dose-dependent manner, inhibited downstream NE activity, and decreased PR3 levels. No food effect was observed. Co-administration of multiple doses of itraconazole increased BI 1291583 exposure approximately twofold. Due to these promising phase I results, a multinational phase II program of BI 1291583 in adults with bronchiectasis is ongoing (Airleaf™ [NCT05238675], Clairafly™ [NCT05865886], and Clairleaf™ [NCT05846230]).

Occurrence of somnolence and respiratory depression induced by pregabalin and mirogabalin use and the influence of opioid treatment using the Japanese adverse drug event report database.

Background: Gabapentinoid anticonvulsants are standard treatment for neuropathic pain and are often combined with opioids for treating cancer. It is assumed that this combination may heighten somnolence and respiratory depression due to the inhibitory effects of opioids on the central nervous system. Although pregabalin, a gabapentinoid, is known to increase somnolence frequency during opioid therapy, whether mirogabalin exerts similar effects on somnolence frequency under opioid therapy remains unknown. This study examined the signals of somnolence and respiratory depression in response to pregabalin and mirogabalin use by utilizing data from the Japanese Adverse Drug Event Report database and assessed their interaction with strong opioid analgesics. Methods: Information was obtained from the JADER database from April 2004 to August 2023 via the Pharmaceuticals and Medical Devices Agency website. The study focused on neuropathic pain medications, specifically "pregabalin" and "mirogabalin besilate." Adverse events were defined using preferred terms (PTs) from the Medical Dictionary for Regulatory Activities version 26.1. The PTs considered were "Somnolence (10041349)" and "Respiratory depression (10038678)." To investigate the effect of the combination of strong opioid analgesics with pregabalin and mirogabalin on the occurrence of somnolence, a multivariable logistic regression analysis was conducted. Results: Signals for somnolence were detected with the use of both drugs (pregabalin: information component (IC) [95% confidence intervals (CIs)]: 2.89 [2.70 to 3.08]; mirogabalin: IC [95% CIs] 2.50 [1.85 to 3.16]). When evaluating respiratory depression, a typical and serious adverse event of opioid analgesic use, a signal was detected with pregabalin use but not with mirogabalin use (pregabalin: (IC [95% CIs] 1.28 [0.83 to 1.73]; mirogabalin: IC [95% CIs] -0.15 [-2.20 to 1.89]). Multivariable analysis indicated that the use of strong opioid analgesics increased the occurrence of somnolence when combined with pregabalin but not when combined with mirogabalin (p = 0.004). Conclusion: While the safety of concomitant administation of mirogabalin with opioids remains controversial, caution should be exercised when using pregabalin, especially in combination with opioids for neuropathic pain, compared to that for mirogabalin.

Drug-induced enzyme activity inhibition and CYP3A4 genetic polymorphism significantly shape the metabolic characteristics of furmonertinib.

This study aimed to elucidate the impact of variations in liver enzyme activity, particularly CYP3A4, on the metabolism of furmonertinib. An in vitro enzyme incubation system was established for furmonertinib using liver microsomes and recombinant CYP3A4 baculosomes, with analytes detected by LC-MS/MS. The pharmacokinetic characteristics of furmonertinib were studied in vivo using Sprague-Dawley rats. It was found that telmisartan significantly inhibited the metabolism of furmonertinib, as demonstrated by a significant increase in the AUC of furmonertinib when co-administered with telmisartan, compared to the furmonertinib-alone group. Mechanistically, it was noncompetitive in rat liver microsomes, while it was mixed competitive and noncompetitive in human liver microsomes and CYP3A4. Considering the genetic polymorphism of CYP3A4, the study further investigated its effect on the kinetics of furmonertinib. The results showed that compared to CYP3A4.1, CYP3A4.29 had significantly increased activity in catalyzing furmonertinib, whereas CYP3A4.7, 9, 10, 12, 13, 14, 18, 23, 33, and 34 showed markedly decreased activity. The inhibitory activity of telmisartan varied in CYP3A4.1 and CYP3A4.18, with IC50 values of 8.56 ± 0.90 µM and 27.48 ± 3.52 µM, respectively. The key loci affecting the inhibitory effect were identified as ARG105, ILE301, ALA370, and LEU373. Collectively, these data would provide a reference for the quantitative application of furmonertinib.

Development of UPLC-MS/MS method for studying the pharmacokinetic interactions of fuzuloparib with curcumin in rats.

Fuzuloparib is a novel orally bioactive poly-ADP-ribose polymerase inhibitor (PARPi), which was approved by the Chinese Regulatory Agency (CRA) in 2020 for the treatment of platinum-sensitive recurrent ovarian, fallopian tube, and primary peritoneal cancers. This study firstly presents a rapid and accurate ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method for analyzing the levels of fuzuloparib and its major metabolite (SHR165202), and to investigate drug-drug interaction between fuzuloparib and curcumin in vitro and in vivo studies. After protein precipitation with acetonitrile, mobile phase consisted of acetonitrile and 0.1 % formic acid with a gradient elution was used to successfully separate fuzuloparib, SHR165202 and talazoparib (internal standard, IS). The results indicated that fuzuloparib and SHR165202 had good linearity over the calibration range of 2-50 ng/mL and 1-20 ng/mL, respectively. The precision, accuracy, stability, matrix effect, and extraction recovery required for methodological validation all complied with the requirements of the Bioanalytical Method Validation Guidelines. In vitro microsome incubation experiments, curcumin exhibited inhibitory effect on fuzuloparib in both rat liver microsomes (RLM) and human liver microsomes (HLM) with half-maximal inhibitory concentration (IC50) value of 10.54 µM and 47.64 µM, respectively, and the corresponding mechanism was non-competitive. Furthermore, the inhibitory mechanism of curcumin on fuzuloparib was validated through molecular docking. In pharmacokinetic experiments in rats, curcumin significantly altered the plasma exposure of fuzuloparib, resulting in significant increases in AUC(0-t) and Cmax of fuzuloparib and a significant decrease in CLz/F. Moreover, the metabolite SHR165202 showed significant increases in AUC(0-t), AUC(0-∞), Tmax and Cmax and a significant decrease in CLz/F. This further supports the notion that curcumin could inhibit the metabolism of fuzuloparib. Therefore, when co-administering fuzuloparib and curcumin in clinic, it is recommended to monitor plasma levels of fuzuloparib and pay close attention to adverse effects. If necessary, the dose of fuzuloparib needs to be reduced.

Physiologically based pharmacokinetic modeling of CYP2C8 substrate rosiglitazone and its metabolite to predict metabolic drug-drug interaction.

Rosiglitazone is an activator of nuclear peroxisome proliferator-activated (PPAR) receptor gamma used in the treatment of type 2 diabetes mellitus. The elimination of rosiglitazone occurs mainly via metabolism, with major contribution by enzyme cytochrome P450 (CYP) 2C8. Primary routes of rosiglitazone metabolism are N-demethylation and hydroxylation. Modulation of CYP2C8 activity by co-administered drugs lead to prominent changes in the exposure of rosiglitazone and its metabolites. Here, we attempt to develop mechanistic parent-metabolite physiologically based pharmacokinetic (PBPK) model for rosiglitazone. Our goal is to predict potential drug-drug interaction (DDI) and consequent changes in metabolite N-desmethyl rosiglitazone exposure. The PBPK modeling was performed in the PKSim® software using clinical pharmacokinetics data from literature. The contribution to N-desmethyl rosiglitazone formation by CYP2C8 was delineated using vitro metabolite formation rates from recombinant enzyme system. Developed model was verified for prediction of rosiglitazone DDI potential and its metabolite exposure based on observed clinical DDI studies. Developed model exhibited good predictive performance both for rosiglitazone and N-desmethyl rosiglitazone respectively, evaluated based on commonly acceptable criteria. In conclusion, developed model helps with prediction of CYP2C8 DDI using rosiglitazone as a substrate, as well as changes in metabolite exposure. In vitro data for metabolite formation can be successfully utilized to translate to in vivo conditions.

Clinical Trial Data-Driven Risk Assessment of Drug-Drug Interactions: A Rapid and Accurate Decision-Making Tool.

BACKGROUND: In clinical practice, the vast array of potential drug combinations necessitates swift and accurate assessments of pharmacokinetic drug-drug interactions (DDIs), along with recommendations for adjustments. Current methodologies for clinical DDI evaluations primarily rely on basic extrapolations from clinical trial data. However, these methods are limited in accuracy owing to their lack of a comprehensive consideration of various critical factors, including the inhibitory potency, dosage, and type of the inhibitor, as well as the metabolic fraction and intestinal availability of the substrate. OBJECTIVE: This study aims to propose an efficient and accurate clinical pharmacokinetic-mediated DDI assessment tool, which comprehensively considers the effects of inhibitory potency and dosage of inhibitors, intestinal availability and fraction metabolized of substrates on DDI outcomes. METHODS: This study focuses on DDIs caused by cytochrome P450 3A4 enzyme inhibition, utilizing extensive clinical trial data to establish a methodology to calculate the metabolic fraction and intestinal availability for substrates, as well as the concentration and inhibitory potency for inhibitors ( K i or k inact / K I ). These parameters were then used to predict the outcomes of DDIs involving 33 substrates and 20 inhibitors. We also defined the risk index for substrates and the potency index for inhibitors to establish a clinical DDI risk scale. The training set for parameter calculation consisted of 73 clinical trials. The validation set comprised 89 clinical DDI trials involving 53 drugs. which was used to evaluate the reliability of in vivo values of K i and k inact / K I , the accuracy of DDI predictions, and the false-negative rate of risk scale. RESULTS: First, the reliability of the in vivo K i and k inact / K I values calculated in this study was assessed using a basic static model. Compared with values obtained from other methods, this study values showed a lower geometric mean fold error and root mean square error. Additionally, incorporating these values into the physiologically based pharmacokinetic-DDI model facilitated a good fitting of the C-t curves when the substrate's metabolic enzymes are inhibited. Second, area under the curve ratio predictions of studied drugs were within a 1.5 × margin of error in 81% of cases compared with clinical observations in the validation set. Last, the clinical DDI risk scale developed in this study predicted the actual risks in the validation set with only a 5.6% incidence of serious false negatives. CONCLUSIONS: This study offers a rapid and accurate approach for assessing the risk of pharmacokinetic-mediated DDIs in clinical practice, providing a foundation for rational combination drug use and dosage adjustments.

Pharmacokinetic variability of everolimus and impact of concomitant antiseizure medications in patients with tuberous sclerosis complex: A retrospective study of therapeutic drug monitoring data in Denmark and Norway.

The mTOR-inhibitor everolimus is a precision drug with antiepileptogenic properties approved for treatment of epilepsy in persons with tuberous sclerosis complex (TSC) in combination with other antiseizure medications (ASMs). However, the pharmacokinetic variability of everolimus is scarcely described, and the available information on pharmacokinetic interactions is scarce. The purpose of this study was to investigate pharmacokinetic variability of everolimus in patients with TSC, and the impact of age, sex and comedication. In this retrospective observational study we used anonymized data from medical records of patients with TSC using everolimus in Norway and Denmark, 2012 to 2020. Long-term therapeutic drug monitoring (TDM) identified inter-patient and intra-patient variability. The study included 59 patients, (36 females (61%)), median age 22 (range 3-59 years). Polytherapy was used in 50 patients (85%). The most frequently used ASMs were lamotrigine (n = 21), valproate (n = 17), and levetiracetam (n = 13). Blood concentrations of everolimus were measured in all patients. Pharmacokinetic variability of everolimus between patients was extensive, as demonstrated by a 24-fold variability from minimum-maximum concentration/dose (C/D)-ratios. The coefficient of variation (CV) for intra-patient (n = 59) and inter-patient variability (n = 47, ≥3 measurements) was 40% and 43%, respectively. The C/D-ratio of everolimus was 50% lower in 13 patients (22%) using enzyme-inducing ASMs compared to the 30 patients who did not (0.7 vs 1.4 ng/mL mg, P < .05). Age and sex were not significantly associated with changes in C/D-ratios of everolimus. Long-term TDM identified extensive variability in concentrations over time for everolimus both within and between patients, where comedication with enzyme-inducing ASMs was an important contributing factor. The findings suggest a need for TDM in patients with TSC treated with everolimus.

[Renal failure and drug-drug interactions]. / Bei Niereninsuffizienz auf Arzneimittel-Interaktionen achten!

Renal failure is common and comes with a steep increasing prevalence in older patients. It is a frequent aspect in multimorbidity and associated with polypharmacia. Based on available literature an overview is given concerning important drug-drug interactions and how to avoid or manage them. Among a large variety of possible interactions anticoagulation and diuretic therapy still represent the highest clinical relevance.

A Review of Concordance and Quality in Clinical Guidelines for Hormonal Contraceptives to Mitigate Drug-Drug Interactions in Women With Epilepsy.

PURPOSE: Concomitant use of hormonal contraceptive agents (HCAs) and enzyme-inducting antiepileptic drugs (EIAEDs) may lead to contraceptive failure and unintended pregnancy. This review identified and evaluated concordance and quality of clinical treatment guidelines related to the use of HCAs in women with epilepsy (WWE) receiving EIAEDs. METHODS: Relevant clinical guidelines were identified across four databases and were independently evaluated for quality utilizing the AGREE-II protocol instrument. Quality in this context is defined as the rigor and transparency of the methodologies used to develop the guideline. Guidelines were further assessed in terms of concordance and discordance with the latest body of knowledge concerning the use of hormonal contraception in the presence of EIAEDs. RESULTS: A total of n = 5 guidelines were retrieved and evaluated. Overall guideline scores ranged from 17% to 92%, while individual domain scores ranged from 0% to 100%. Contraceptive guidelines consistently recommended the use of intrauterine systems and long-acting injectables in the presence of EIAEDs, recommended against the use of oral, transdermal, and vaginal ring contraceptives, and differed regarding recommendations related to implants. Guidelines agreed regarding recommendations that women treated with EIAEDs should receive intrauterine systems and long-acting injectables; however, the suggested frequency of administration of injectable contraceptives differed. The use of intrauterine systems in this population is supported by evidence, but there is uncertainty surrounding the use of long-acting injectables and contraceptive implants. CONCLUSIONS: To mitigate the risk of unintended pregnancy and its consequences, recommendations related to implants and long-acting injectable contraceptives should be evidence-based.

Pharmacokinetic Interactions Between the Fixed-Dose Combination of Ezetimibe/Rosuvastatin 10/20 Mg and the Fixed-Dose Combination of Telmisartan/Amlodipine 80/5 Mg in Healthy Subjects.

Background: Management of hypertension and hyperlipidemia, which are common comorbid risk factors for cardiovascular diseases, require multiple medications. The development of a fixed-dose combination (FDC) containing ezetimibe, rosuvastatin, telmisartan, and amlodipine aims to enhance patient adherence and persistence, but the potential interactions among the four medications have not been studied. This study aimed to evaluate the pharmacokinetic (PK) interactions between the FDC of ezetimibe/rosuvastatin 10/20 mg (ER) and the FDC of telmisartan/amlodipine 80/5 mg (TA). Methods: An open-label, single-sequence, three-period, three-treatment crossover study was conducted in healthy male subjects. All subjects received ER for 7 days, TA for 9 days and ER combined with TA for 7 days during each treatment period. For PK analysis of total/free ezetimibe, rosuvastatin, telmisartan, and amlodipine, serial blood samples were collected for 24 hours at steady state. Safety profiles were assessed throughout the study. Results: Thirty-eight subjects were enrolled, and 34 subjects completed the study. The systemic exposure to each active ingredient after coadministration of the two FDCs was similar to that after each FDC alone. The geometric mean ratios and 90% confidence intervals for the maximum plasma concentration (µg/L) and the area under the plasma concentration-time curve (h·µg/L) of the combination therapy to monotherapy, assessed at steady state, were as follows: total ezetimibe, 1.0264 (0.8765-1.2017) and 0.9359 (0.7847-1.1163); free ezetimibe, 1.5713 (1.2821-1.9257) and 0.9941 (0.8384-1.1788); rosuvastatin, 2.1673 (1.7807-2.6379) and 1.1714 (0.9992-1.3733); telmisartan, 1.0745 (0.8139-1.4186) and 1.1057 (0.8379-1.4591); and amlodipine, 0.9421 (0.8764-1.0126) and 0.9603 (0.8862-1.0405). Both combination therapy and monotherapy were well tolerated by the subjects. Conclusion: The coadministration of ezetimibe/rosuvastatin 10/20 mg and ezetimibe/rosuvastatin 10/20 mg was well tolerated in healthy subjects, and the PK interaction between those two FDCs was not clinically significant.

Investigation of Clinical Course and Possible Drug Interactions in Patients with Multiple Sclerosis and Breast Cancer.

This study aims to investigate the clinical course and potential drug interactions of breast cancer patients diagnosed with multiple sclerosis (MS). Ten patients diagnosed with MS and breast cancer, who were followed up and treated in the authors' centre between January 2000 and December 2020, were retrospectively scanned from the Hospital's electronic registry system and included in the study. The patients' age, gender, history of MS diagnosis, drugs used, date of breast cancer diagnosis, stage at diagnosis, pathological features, treatment information, surgery types, recurrence or metastasis history and regions, and side effects observed during anticancer treatment were recorded. Key Words: Multiple sclerosis, Breast cancer, Drug-drug interactions.

Clinical Pharmacokinetics of Semaglutide: A Systematic Review.

Purpose: The aim of this review was to provide all the pharmacokinetic data for semaglutide in humans concerning its pharmacokinetics after subcutaneously and oral applications in healthy and diseased populations, to provide recommendations for clinical use. Methodology: The PubMed and Embase databases were searched to screen studies associated with the pharmacokinetics of semaglutide. The pharmacokinetic parameters included area under the curve plasma concentrations (AUC), maximal plasma concentration (Cmax), time to Cmax, half-life (t1/2), and clearance. The systematic literature search retrieved 17 articles including data on pharmacokinetic profiles after subcutaneously and oral applications of semaglutide, and at least one of the above pharmacokinetic parameter was reported in all included studies. Results: Semaglutide has a predictable pharmacokinetic profile with a long t1/2 that allows for once-weekly subcutaneous administration. The AUC and Cmax of both oral and subcutaneous semaglutide increased with dose. Food and various dosing conditions including water volume and dosing schedules can affect the oral semaglutide exposure. There are limited drug-drug interactions and no dosing adjustments in patients with upper gastrointestinal disease, renal impairment or hepatic impairment. Body weight may affect semaglutide exposure, but further studies are needed to confirm this. Conclusion: This review encompasses all the pharmacokinetic data for subcutaneous and oral semaglutide in both healthy and diseased participants. The existing pharmacokinetic data can assist in developing and evaluating pharmacokinetic models of semaglutide and will help clinicians predict semaglutide dosages. In addition, it can also help optimize future clinical trials.

The effect of itraconazole, a strong CYP3A4 inhibitor, on the pharmacokinetics of the first-in-class ACKR3/CXCR7 antagonist, ACT-1004-1239.

Cytochrome P450 (CYP) 3A4 is an enzyme involved in the metabolism of many drugs that are currently on the market and is therefore a key player in drug-drug interactions (DDIs). ACT-1004-1239 is a potent and selective, first-in-class ACKR3/CXRC7 antagonist being developed as a treatment for demyelinating diseases including multiple sclerosis. Based on the human absorption, distribution, metabolism, and excretion (ADME) study results, ACT-1004-1239 is predominantly metabolized by CYP3A4. This study investigated the effect of the strong CYP3A4 inhibitor, itraconazole, on the pharmacokinetics of single-dose ACT-1004-1239 in healthy male subjects. In the open-label, fixed-sequence DDI study, a total of 16 subjects were treated. Each subject received a single dose of 10 mg ACT-1004-1239 (Treatment A) in the first period followed by concomitant administration of multiple doses of 200 mg itraconazole and a single dose of 10 mg ACT-1004-1239 in the second period. We report a median of difference in tmax (90% confidence interval, CI) of 0.5 h (0.0, 1.0) comparing both treatments. The geometric mean ratio (GMR) (90% CI) of Cmax and AUC0-∞ was 2.16 (1.89, 2.47) and 2.77 (2.55, 3.00), respectively. The GMR (90% CI) of t1/2 was 1.46 (1.26, 1.70). Both treatments were well-tolerated with an identical incidence in subjects reporting treatment-emergent adverse events (TEAE). The most frequently reported TEAEs were headache and nausea. In conclusion, ACT-1004-1239 is classified as a moderately sensitive CYP3A4 substrate (i.e., increase of AUC ≥2- to <5-fold), and this should be considered in further clinical studies if CYP3A4 inhibitors are concomitantly administered.

Exploring the multiple effects of nifedipine and captopril administration in spontaneously hypertensive rats through pharmacokinetic-pharmacodynamic analyses.

This study assessed the pharmacokinetics (PKs) and pharmacodynamics (PDs) of two antihypertensive drugs, nifedipine and captopril, by exploring their main (blood pressure [BP]) and secondary effects (heart rate [HR] and QT interval [QT]) in spontaneously hypertensive rats. This study aimed to assess the relationship between PKs and PDs. Using these PD parameters, BP, HR, and QT during coadministration were estimated. The coadministration of nifedipine and captopril resulted in an increase in nifedipine's total body clearance (CLtot) and a reduction in its mean residence time (MRT) with an increase in the terminal elimination half-life (t1/2) and volume of distribution at steady state (Vdss) of captopril. However, no significant PK interactions were observed. During monotherapy, BP reduced rapidly following nifedipine infusion. Subsequently, despite the increase in nifedipine plasma concentration, BP recovered, likely because of homeostasis. Similar results were observed with coadministration. Subsequently, BP demonstrated a sustained reduction that was greater than or equal to the additive effect estimated from each PK. Captopril exhibited a minimal effect on HR, except for a transient increase observed immediately after starting infusion, consistent with observations during coadministration. Subsequently, the HR reduction was nearly equal to that calculated from the nifedipine PK. QT prolongation was more rapid with captopril than with nifedipine. Although QT prolongation during the initial 60 min of coadministration was approximately the sum of both effects, the recovery period to baseline QT was faster than that in the simulation.

Analyzing Potential Interactions Between Complementary and Alternative Therapies, Over-the-Counter, and Prescription Medications in the Older Population.

BACKGROUND: The escalating use of complementary and alternative medicine (CAM) raises concerns, particularly among geriatric patients taking multiple medications. Notably, the doubled chance of major drug interactions between prescription and over-the-counter (OTC) drugs in older adults underscores the need for further research. This study aimed to evaluate clinically significant CAM and prescription medication interactions in a geriatric clinic, emphasizing the growing importance of understanding CAM implications in health care. METHODS: A 2-year cross-sectional study, approved by the Institutional Review Board, enrolled 420 participants aged 65 and older from a geriatric primary care clinic. Participants completed a survey, and pharmacy students conducted chart reviews to evaluate potential CAM products and prescription medication interactions. RESULTS: Among the 420 participants-who were predominantly White females and who were taking supplements, OTC medications, or both-15.6% experienced potential drug interactions. Ginkgo biloba, garlic, and calcium were common contributors to major, moderate, and minor interactions, respectively, among supplements. Meanwhile, ibuprofen was among the contributors to major and moderate interactions among OTC medications. Most supplements and OTC medications were disclosed to health care professionals. However, there was a lack of investigation by health care professionals regarding CAM use, emphasizing a discrepancy between patient-reported and physician-inquired CAM usage. CONCLUSION: This study highlighted the significant use of CAM and/or OTC medications, particularly among vulnerable older adults, revealing a concerning 15.6% rate of potential drug interactions. The findings emphasized the need for awareness among health care practitioners and standardized CAM surveys to enhance accuracy and patient safety.

Epidemiology of potential drug- drug interactions in hospitalized patients with type 2 diabetes mellitus in China: a retrospective study.

Background: Combination therapy was associated with an increased risk of drug- drug interactions (DDIs) in patients with type 2 diabetes mellitus (T2DM). The present study aimed to investigate the epidemiology of potential DDIs (pDDIs), including potential chemical drug-drug interactions (pCDIs) and potential herb-drug interactions (pHDIs), and classify the influencing factors of pDDIs in these patients. Methods: A retrospective study of the epidemiology of pDDIs among T2DM hospitalized patients older than 18 years and treated with at least two drugs during hospitalization was conducted over a 12-month period in 2019. PDDIs were identified with C (monitor therapy), D (consider therapy modification), and X (avoid combination) risk ratings. Binary logistic regression was used to analyze the risk factors of pDDIs. Results: A total of 6796 pDDIs were identified from 737 T2DM hospitalized patients during hospitalization, with 0.87% classified as X risk rating, 13.39% as D risk rating. Additionally, 1753 pDDIs were identified after discharge, with 0.11% as X and 25.73% as D risk rating. The drug-drug association networks showed that the majority of pCDIs were associated with cardiovascular system drugs. Chlorphenamine-potassium chloride and danshen-warfarin were the most prevalent interacting pairs of pCDIs and pHDIs with X rating during hospitalization. Multivariate analysis indicated that the likelihood of developing over 4 pDDIs was significantly higher among T2DM patients who had received over 8 medications. The presence of pDDIs after discharge was strongly associated with the complications of T2DM and the number of discharge medications. Conclusions: T2DM patients were frequently exposed to pDDIs, including pCDIs and pHDIs, both during hospitalization and after discharge. Multi-drug combination was the primary risk factor for pDDIs. Strategies such as enhancing the monitoring and warning for pDDIs, increasing clinical pharmacological experience, as well as developing universally applicable clinical guidelines for pDDIs may be beneficial in reducing the incidence of potentially harmful drug-combinations.

Agreement of Different Drug-Drug Interaction Checkers for Proton Pump Inhibitors.

Importance: Proton pump inhibitors (PPIs) are a widely prescribed class of drugs, potentially interacting with a large number of medicines, especially among older patients with multimorbidity and polypharmacy. Beyond summary of product characteristics (SPCs), interaction checkers (ICs) are routinely used tools to help clinicians in medication review interventions. Objective: To assess the consistency of information on drugs potentially interacting with PPIs as reported in their SPCs and different ICs. Design, Setting, and Participants: This cross-sectional study was conducted using data from SPCs for 5 PPIs (omeprazole, esomeprazole, lansoprazole, pantoprazole, and rabeprazole) and 5 ICs (ie, INTERCheck WEB, Micromedex, Lexicomp, Epocrates, and drugs.com). Information from the SPCs and the ICs were extracted between July 15 and 30, 2023. Main Outcomes and Measures: The main outcome was the level of agreement among SPCs and the 5 ICs in identifying drugs potentially interacting with PPIs and attributing drug-drug interaction (DDI) severity categories. The level of agreement was computed using Gwet AC1 statistic on the 5 ICs and by comparing 4-sets and 2-sets of ICs. As a sensitivity analysis, the level of agreement in listing PPI-related DDIs was evaluated using Cohen κ and Fleiss κ coefficients. Results: Considering SPCs and the 5 ICs, a total of 518 potentially interacting drugs with omeprazole were reported, 455 for esomeprazole, 433 for lansoprazole, 421 for pantoprazole, and 405 for rabeprazole. As compared with the ICs, the SPCs reported a much smaller number of drugs potentially interacting with PPIs, with proportions ranging from 2.7% (11 potentially interacting drugs) for rabeprazole to 7.6% (33 potentially interacting drugs) for lansoprazole of the total identified drugs at risk of interaction with a PPI. The overall level of agreement among the 5 ICs for identifying potential interactions was poor (from 0.23 [95% CI, 0.21-0.25] for omeprazole to 0.27 [95% CI, 0.24-0.29] for pantoprazole and 0.27 [95% CI, 0.25-0.29] for rabeprazole). Similarly, the level of agreement was low in 4-set and 2-set analyses as well as when restricting the analysis to the potential DDIs identified as severe (range, 0.30-0.32). Conclusions and Relevance: This cross-sectional study found significant disagreement among different ICs and SPCs, highlighting the need to focus on standardizing DDI databases. Therefore, to ensure evaluation and prevention of clinically relevant DDIs, it is recommended to revise multiple ICs and consult with specialists, such as clinical pharmacologists, particularly for patients with complex medical conditions.

A systematic review of the drug-drug interaction between Statins and Quinolones.

BACKGROUND: Statins are widely used in cardiovascular disease (CVD) as a common lipid-lowering drug, while quinolones are widely used for the treatment of infectious diseases. It is common to see CVD in combination with infectious diseases, therefore it is often the case that statins and quinolones are used in combination. Data suggest combinations of statin and quinolone may be associated with potentially life-threatening myopathy, rhabdomyolysis and acute hepatitis. This systematic review aims to characterize data regarding patients affected by the statin-quinolone interaction. METHODS: The purpose of this systematic review was to collect and evaluate the evidence surrounding statin-quinolone drug interactions and to discuss related risk mitigation strategies. The following databases were searched: PubMed (Medline), Embase, Scopus, and Cochrane Library. The systematic electronic literature search was conducted with the following search terms. In this study, three types of search terms were used: statins-related terms, quinolones-related terms, and drug interactions-related terms. RESULTS: There were 16 case reports that met the criteria for qualitative analysis. Patients were involved in the following adverse reactions: rhabdomyolysis (n = 12), acute hepatitis (n = 1), muscle weakness (n = 1), hip tendinopathy (n = 1), or myopathy (n = 1). In the included literature, patients vary in the dose and type of statins they take, including simvastatin (n = 10) at a dose range of 20-80 mg/d and atorvastatin (n = 4) at a dose of 80 mg/d. There were 2 patients with unspecified statin doses, separately using simvastatin and atorvastatin. The quinolones in combination were ciprofloxacin (n = 9) at a dose range of 800-1500 mg/d, levofloxacin (n = 6) at a dose range of 250-1000 mg/d, and norfloxacin (n = 1) in an unspecified dose range. 81% of the case patients were over 60 years of age, and about 1/3 had kidney-related diseases such as diabetic nephropathy, post-transplantation, and severe glomerulonephritis. Nearly two-third of the patients were on concomitant cytochrome P450 3A4 (CYP3A4) inhibitors, P-glycoprotein (P-gp) inhibitors, or organic anion transporting polypeptide 1B1 (OATP1B1) inhibitors. CONCLUSION: Patients treated with statin-quinolone combination should be monitored more closely for changes in aspartate aminotransferase or creatine kinase (CK) levels, and muscle symptoms, especially in patients with ciprofloxacin or levofloxacin, with simvastatin and high-dose atorvastatin, over 60 years of age, with kidney-related diseases, and on concomitant CYP3A4 inhibitors.