Fibrates and risk of congenital malformations: a nationwide cohort study in South Korea.

PURPOSE: To examine the association between maternal prescriptions for fibrates and congenital malformations in live births. METHODS: Nationwide retrospective cohort study was conducted using the data sourced from the Korean National Health Insurance database. A cohort of 756,877 completed pregnancies linked to live-born infants in 215,600 women with dyslipidemia between 2012 and 2021. The study compared data on congenital anomalies between pregnancies who were exposed to fibrates and those who were not exposed to fibrates in the first trimester. Odds ratios (OR) were calculated by a multivariable analyses using logistic regression models to adjust for potential confounders. RESULTS: 260 pregnancies (0.12%) were exposed to fibrates during the first trimester. The prevalence of malformations in exposed offspirng was 10.77%, not significantly different compared with 9.68% in offspring of women who were not prescribed fibrates during pregnancy in patients with dyslipidemia (OR 1.13; 95% CI 0.75-1.70). CONCLUSION: This study implies that the use of fibrates during pregnancy may be safe, as it did not show any association with congenital anomalies. However, caution is warranted due to an elevated risk associated with prolonged exposure.

Major Adverse Cardiovascular Events in Antidepressant Users Within Patients With Ischemic Heart Diseases: A Nationwide Cohort Study.

BACKGROUND: To evaluate the effect of antidepressants on the development of major adverse cardiovascular events (MACEs) in patients with ischemic heart disease (IHD), we analyzed the association between antidepressant use and the risk of MACE development. METHODS: Patients with depression and a history of IHD between 2008 and 2012 were identified by using the National Health Insurance Service database. A cohort was followed up for the development of MACE until the end of 2015. Hazard ratios (HRs) for myocardial infarction, stroke, and cardiovascular death were estimated by Cox proportional hazard regression in a propensity score-matched cohort. RESULTS: Over a median 4.2 years of follow-up, 2943 MACE occurred in 18,981 antidepressant users. Use of antidepressants was not associated with the incidence of MACE when compared with antidepressant nonusers (adjusted HR, 1.00; 95% confidence interval, 0.95-1.05). Among the analyses according to different classes of antidepressants, the increased risk of stroke was only observed in the subgroup of selective serotonin reuptake inhibitor (SSRI) users. Dose-response findings reported greater risk in those with higher doses of use (SSRIs with ≥1.0 defined daily dose; adjusted HR, 1.14; 95% confidence interval, 1.06-1.23), whereas duration response does not support association. CONCLUSIONS: Compared with antidepressant nonusers, use of antidepressants was not associated with occurrence of MACEs in patients with depression and IHD. Although the overall effect of antidepressants on the risk of MACE was neutral, careful monitoring of MACE development is recommended in high-dose SSRI users.

Network analysis of drug-related problems in hospitalized patients with hematologic malignancies.

PURPOSE: Network analysis was conducted to systematically analyze the relationship between causative drugs and types of drug-related problems (DRPs) in hospitalized patients with hematologic malignancies. METHODS: A total of 1187 DRPs identified in hematology wards between 2013 and 2015 were analyzed. DRPs were classified into 11 sub-domains for problems and 35 sub-domains for causes according to Pharmaceutical Care Network Europe classification. Causative drugs were classified by Anatomical Therapeutic Chemical code. Network analytic tool was used to represent the relationship between drugs, causes, and problems. In-degree centrality (CD-in) was calculated to identify major causes of DRPs. RESULTS: The following drugs accounted for more than 5% of DRP, including antibacterials (J01, 26.5%), drugs for acid-related disorders (A02, 11.5%), antiemetics (A04, 9.7%), antifungals (J02, 8.8%), and antineoplastic agents (L01, 7.0%). Inappropriate combinations (C1.3, CD-in of 161) of drugs for acid-related disorders, antifungals, and antineoplastic agents were major causes of DRPs and induced non-optimal effects of drug treatment (P1.2). Inappropriate dose adjustments (C3.6, CD-in of 151) of antibacterials lowered effects (P1.2) and increased side effects (P2.1). Missing necessary synergistic or preventive drugs, especially antiemetics, (C1.8, CD-in of 54) resulted in untreated indication (P1.4). CONCLUSIONS: DRPs were mainly related to medications for supportive care. More attention should be paid to interactions of drugs used for acid-related disorders, dose adjustment of antibacterials, and omission of antiemetics in hospitalized patients with hematologic malignancy.

Accuracy of Ultrasound for Preoperative Assessment of Tumor Size in Patients With Newly Diagnosed Breast Cancer: Is It Affected by the Background Parenchymal Echotexture?

OBJECTIVES: To assess the impact of the background parenchymal echotexture on the accuracy of tumor size estimation using breast ultrasound (US). METHODS: A total of 140 women with newly diagnosed invasive breast cancer from January 2014 to December 2015 were enrolled in this study. Two radiologists retrospectively reviewed US images in consensus for background parenchymal echotexture interpretation. The maximum tumor diameter from static images was recorded. Tumor size measurements were considered as having agreement with histologic results if they were within ±5 mm compared to the pathologic size. The relationship between the accuracy of tumor size measurement by the background parenchymal echotexture and clinicopathologic characteristics was evaluated. RESULTS: Of these 140 patients, 77 (55.0%) showed a homogeneous background parenchymal echotexture, whereas 63 (45.0%) showed a heterogeneous echotexture. The mean tumor size was 1.9 cm (range, 0.5-4.9 cm). The overall accuracy of tumor size measurement was 76.4% (104 of 140). Tumors of women with a homogeneous background parenchymal echotexture were more accurately measured than those of women with a heterogeneous echotexture (87.0% versus 63.5%; P = .001). Tumors with a small size (<2 cm; P = .018) and ductal carcinoma in situ-negative (P = .031), human epidermal growth factor receptor 2 (HER2)-negative (P = .053), and triple-negative (P = .016) types were also more accurately measured. The independent factors associated with inaccurate tumor size measurement were a heterogeneous background parenchymal echotexture, a large tumor size, and the HER2-enriched type (P < .05). CONCLUSIONS: The background parenchymal echotexture affected the accuracy of tumor size estimation using breast US. Invasive breast cancers with large (≥2 cm) tumors and the HER2-enriched type showed significantly lower breast US accuracy compared to others.

Construction of a database for published phase II/III drug intervention clinical trials for the period 2009-2014 comprising 2,326 records, 90 disease categories, and 939 drug entities.

OBJECTIVES: To construct a database of published clinical drug trials suitable for use 1) as a research tool in accessing clinical trial information and 2) in evidence-based decision-making by regulatory professionals, clinical research investigators, and medical practitioners. MATERIALS: Comprehensive information obtained from a search of design elements and results of clinical trials in peer reviewed journals using PubMed (http://www.ncbi.nlm.ih.gov/pubmed). METHOD: The methodology to develop a structured database was devised by a panel composed of experts in medical, pharmaceutical, information technology, and members of Ministry of Food and Drug Safety (MFDS) using a step by step approach. A double-sided system consisting of user mode and manager mode served as the framework for the database; elements of interest from each trial were entered via secure manager mode enabling the input information to be accessed in a user-friendly manner (user mode). Information regarding methodology used and results of drug treatment were extracted as detail elements of each data set and then inputted into the web-based database system. RESULTS: Comprehensive information comprising 2,326 clinical trial records, 90 disease states, and 939 drugs entities and concerning study objectives, background, methods used, results, and conclusion could be extracted from published information on phase II/III drug intervention clinical trials appearing in SCI journals within the last 10 years. The extracted data was successfully assembled into a clinical drug trial database with easy access suitable for use as a research tool. The clinically most important therapeutic categories, i.e., cancer, cardiovascular, respiratory, neurological, metabolic, urogenital, gastrointestinal, psychological, and infectious diseases were covered by the database. Names of test and control drugs, details on primary and secondary outcomes and indexed keywords could also be retrieved and built into the database. The construction used in the database enables the user to sort and download targeted information as a Microsoft Excel spreadsheet. CONCLUSION: Because of the comprehensive and standardized nature of the clinical drug trial database and its ease of access it should serve as valuable information repository and research tool for accessing clinical trial information and making evidence-based decisions by regulatory professionals, clinical research investigators, and medical practitioners.

Copy number variability analysis of pharmacogenes in patients with lymphoma, leukemia, hepatocellular, and lung carcinoma using The Cancer Genome Atlas data.

OBJECTIVE: Individual differences in drug efficacy and toxicity remain an important clinical concern. We investigated copy number variation (CNV) frequencies for pharmacogenes using The Cancer Genome Atlas dataset. MATERIALS AND METHODS: One hundred and fifty-two pharmacogenes were selected from liver hepatocellular carcinoma, lung squamous cell carcinoma (LUSC), acute myeloid leukemia, and lymphoid neoplasm diffuse large B-cell lymphoma (DLBL). The germ line and somatic CNV frequencies were analyzed. RESULTS: We found CNVs with more than 1% frequency in drug-metabolizing enzymes including CYP2A6, CYP2D6, GSTP1, CYP2E1, GSTM1, GSTT1, and SULT1A1, drug transporters such as SLC19A1 and SLC28A1, and targets such as FHIT in normal tissue or blood. GSTM1 had the highest frequency for gene gain (45.45, 39.18, 31.01, and 34.77%, respectively) and for gene loss (18.18, 29.38, 20.89, and 26.68%, respectively) in DLBL, acute myeloid leukemia, liver hepatocellular carcinoma, and LUSC. P2RY12 and P2RY1 had the highest frequency for gene gain in LUSC (26.95 and 26.68%, respectively) whereas ABCB1 and ABL2 had the highest frequency for gene gain in DLBL (27.27%) in cancer tissue or blood. CONCLUSION: Germ line and somatic CNVs of pharmacogenes may play a role in determining individual variations in drug responses. Inclusion of CNVs in pharmacogenetic variations holds promise as biomarkers that can increase the benefits and reduce the risks of drug therapy on an individual level.

Population pharmacokinetics of cyclosporine in hematopoietic stem cell transplant patients: consideration of genetic polymorphisms.

BACKGROUND: Cyclosporine (CsA), which is used for graft-versus-host disease prophylaxis in allogeneic hematopoietic stem cell transplant (allo-HSCT), has a narrow therapeutic range and large interindividual and intraindividual pharmacokinetic variability. Nevertheless, population pharmacokinetic (PopPK) studies of CsA in allo-HSCT are scarce. OBJECTIVE: The goal of our study was to build a PopPK model of CsA in allo-HSCT in consideration of demographic, clinical, and genetic polymorphisms data. METHODS: A total of 34 adult allo-HSCT patients who received CsA were enrolled prospectively. Demographic, clinical, and CYP3A5 *1/*3, CYP2C19 *1/*2/*3, ABCB1 3435C>T, 1236C>T, 2677G>T/A, ABCC2 -24C>T, 1249G>A, VDR Bsml, Apal polymorphisms data were collected. A PopPK modeling was conducted with NONMEM program. RESULTS: A 1-compartment model with a 2-transit absorption compartment model was developed. After the stepwise covariate model building process, weight was incorporated into clearance (CL) as a power function model with the exponent value of 0.419. The final typical estimate of CL was 21.2 L/h; volume of distribution was 430 L; logit-transformed bioavailability was 1.49 (bioavailability: 81%); and transit compartment rate was 2.87/h. None of the genetic polymorphisms in CYP3A5, CYP2C19, ABCB1, ABCC2, and VDR were significant covariates in the pharmacokinetics of CsA. CONCLUSIONS: In our study, it was observed that weight had a significant effect on CL. Genetic polymorphisms did not affect CsA pharmacokinetics. Prospective studies with a larger number of participants is needed to validate the results of this study.

Population pharmacogenetic pharmacokinetic modeling for flip-flop phenomenon of enteric-coated mycophenolate sodium in kidney transplant recipients.

PURPOSE: Enteric-coated mycophenolate sodium (EC-MPS) is effective and safe in preventing rejection after transplantation and is mainly transported by ABCs and OATPs and metabolized by UGTs. The genetic polymorphisms affect the inter-individual variation in drug disposition and elimination. The aims of this study were to develop a population pharmacokinetic (PK) model and to evaluate the influence of genetic and clinical factors on the PK of mycophenolic acid (MPA) in Korean renal transplant recipients. METHODS: Population analysis of EC-MPS was performed using non-linear mixed effects modeling (NONMEM). After clinical and genetic factors were evaluated using a stepwise covariate method, we selected clinically relevant covariates considering covariate effects. The final model was validated by bootstrap and visual predictive check. At last, we performed the model-based simulations in order to explore an optimal dose to achieve target area under the curve (AUC) in hypothetical scenarios. RESULTS: From 166 plasma concentrations (n=34), a time-lagged two-compartment with a flip-flop model best describes the PK of MPA. The covariate analysis identified lower creatinine clearance (CLcr) and SLCO1B1 variant genotype were correlated with lower MPA clearance, on the contrary, UGT1A9 variant had decreased distribution of MPA, contributing to lower absorption. When considering to UGT1A9, SLCO1B1 genotypes, and renal function, the new recommended dose of 540 mg twice daily resulted in a higher success of achieving the target AUC0-12h in the 30-60 mg.h/L. CONCLUSIONS: CLcr, UGT1A9 and SLCO1B1 genotypes seem to be promising parameters to predict the pharmacokinetics with flip-flop phenomenon of EC-MPS in transplant recipient having stable renal function. This model on clinical practice may help prevent overexposure and achieve a proper AUC in the Korean population.

Target trial emulation of carfilzomib safety among patients with relapsed/refractory multiple myeloma using a nationwide observational data in Korea.

PURPOSE: Carfilzomib, commonly used for relapsed/refractory multiple myeloma (RRMM), has been associated with various adverse events in randomized controlled trials (RCTs). However, real-world safety data for a more diverse population are needed, as carfilzomib received expedited approval. This study aimed to evaluate carfilzomib's safety in Korea by comparing new users of KRd (carfilzomib, lenalidomide, and dexamethasone) to Rd (lenalidomide and dexamethasone) using a nationwide administrative claims database. METHODS: The retrospective cohort study utilized target trial emulation, focusing on adverse events in various organ systems similar to the ASPIRE trial. RESULTS: This study included 4,580 RRMM patients between 2007 and 2020, and the KRd group showed significantly higher risks of hematologic adverse events (anemia, neutropenia, thrombocytopenia) and some non-hematologic adverse events (cough, hypokalemia, constipation, hypertension, heart failure) compared to the Rd group. Among non-hematologic adverse events, cardiovascular events (heart failure [HR 2.04; 95% CI 1.24-3.35], hypertension [HR 1.58; 95% CI 1.15-2.17]) had the highest risk in the KRd group. CONCLUSION: The safety profile of carfilzomib in Korean patients was similar to previous RCTs. Therefore, caution should be exercised when using carfilzomib in Asian individuals with RRMM due to the increased risk of cardiovascular adverse events.

Development of a machine learning model for precision prognosis of rapid kidney function decline in people with diabetes and chronic kidney disease.

AIMS: To develop a machine learning model for predicting rapid kidney function decline in people with type 2 diabetes (T2D) and chronic kidney disease (CKD) and to pinpoint key modifiable risk factors for targeted interventions. METHODS: We conducted a retrospective cohort study on 6,924 individuals with T2D and CKD at Seoul National University Hospital. Kidney function decline was assessed using estimated glomerular filtration rate slopes. The performance of the eXtreme Gradient Boosting (XGBoost) model was evaluated through model diagnosis and time-to-event analyses. Copula simulation was conducted to stratify risk subgroups using modifiable risk factors. RESULTS: A total of 906 (13.1 %) individuals experienced rapid kidney function decline. The XGBoost model demonstrated optimal performance (area under the receiver operating characteristic curve: 0.826). The hazard of end-stage kidney disease within eight years increased across risk quartiles, with statistically significant hazard ratios in Q3 (2.06; 95 % confidence interval [CI]: 1.29-3.29) and Q4 (10.9; 95 % CI: 7.36-16.2). Simulation analysis identified high-risk subgroups by stage A3 albuminuria and at least two of the following: haematocrit < 39.0 %, systolic blood pressure > 120 mmHg, and glycated hemoglobin A1c > 6.5 %. CONCLUSIONS: The XGBoost model, augmented by copula simulation, successfully stratified kidney prognosis in individuals with T2D and CKD.

Population pharmacokinetics analysis of cyclophosphamide with genetic effects in patients undergoing hematopoietic stem cell transplantation.

PURPOSE: To build a population pharmacokinetic (PK) model of cyclophosphamide (CY) and its metabolite, 4-hydroxycyclophosphamide (HCY), in patients undergoing allogeneic haematopoietic stem cell transplantation (HSCT) and to identify covariates, including genetic polymorphisms, which affect CY and HCY PK parameters. METHOD: The study cohort comprised 21 patients undergoing HSCT who received CY intravenously between 2009 and 2011. Clinical characteristics and CY and HCY concentration data were collected for all patients, and ABCB1, ABCC2, GSTA1, GSTM1, GSTP1, GSTT1, CYP2B6, CYP2C19, and CYP3A5 genotyping was performed. A hypothetical enzyme compartment was conducted using the NONMEM program. RESULTS: A population PK analysis showed that the ABCC2 1249 genotype and aspartate aminotransferase levels significantly affected non-induced clearance (CL UI) and induced clearance (CL I) of CY, respectively. The final estimate of the mean CL UI and CL I of CY was 15.5 and 0.683 L/h, respectively, and the mean volume of distribution (V 1) of CY was 88.0 L. The inter-individual variability for CL UI, CL I, and V 1 of CY was 52.8, 200, and 18.0 %, respectively. Additionally, the CL UI of CY was significantly decreased to approximately 51 % in patients with the 1249 GA heterozygous genotype compared to those with the 1249 GG wild-type genotype (p < 0.05). There were only three heterozygous GA variants of ABCC2 1249 in the study patients. CONCLUSIONS: The population PK model developed in this study implies an influence of genetic factors on the clearance of CY. Clearance was moderately reduced in patients with the ABCC2 1249GA heterozygous genotype.

Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.

PURPOSE: Tacrolimus is a commonly used immunosuppressant in solid organ transplantation recipients, but it is characterized by a narrow therapeutic range and large inter-individual variability. The purpose of this study was to establish a population pharmacokinetic (PK) model of tacrolimus and evaluate the influence of clinical covariates, including the genetic polymorphisms of the cytochrome P450 3A5 gene (CYP3A5) and gene encoding P-glycoprotein (ABCB1), on the PK parameters in adult Korean kidney transplant recipients. METHODS: Clinical data were collected retrospectively for 400 days after the initiation of a tacrolimus-based immunosuppression therapy. Data from 2,788 trough blood samples obtained from 80 subjects were used to perform a population PK analysis with a nonlinear mixed-effect model (NONMEM). RESULTS: The estimated population mean values of clearance (CL/F) and volume of distribution (V/F) were 22.9 L/h and 716 L, respectively, and the k(a) was fixed to 4.5 h⁻¹. The CYP3A5 genotype, hematocrit level, and post-operative days were identified as the main covariates that influence CL/F, and body weight was found to have a significant effect on V/F. Other covariates, including ABCB1 genotype, corticosteroid dosage, sex, and other clinical data, did not contribute to the pharmacokinetics of tacrolimus. CONCLUSIONS: This tacrolimus population PK model will be a valuable tool in developing rational guidelines and provides a basis for individualized therapy after kidney transplantation in clinical settings of Korea.

Drug repositioning prediction for psoriasis using the adverse event reporting database.

Introduction: Inverse signals produced from disproportional analyses using spontaneous drug adverse event reports can be used for drug repositioning purposes. The purpose of this study is to predict drug candidates using a computational method that integrates reported drug adverse event data, disease-specific gene expression profiles, and drug-induced gene expression profiles. Methods: Drug and adverse events from 2015 through 2020 were downloaded from the United States Food and Drug Administration Adverse Event Reporting System (FAERS). The reporting odds ratio (ROR), information component (IC) and empirical Bayes geometric mean (EBGM) were used to calculate the inverse signals. Psoriasis was selected as the target disease. Disease specific gene expression profiles were obtained by the meta-analysis of the Gene Expression Omnibus (GEO). The reverse gene expression scores were calculated using the Library of Integrated Network-based Cellular Signatures (LINCS) and their correlations with the inverse signals were obtained. Results: Reversal genes and the candidate compounds were identified. Additionally, these correlations were validated using the relationship between the reverse gene expression scores and the half-maximal inhibitory concentration (IC50) values from the Chemical European Molecular Biology Laboratory (ChEMBL). Conclusion: Inverse signals produced from a disproportional analysis can be used for drug repositioning and to predict drug candidates against psoriasis.

Comparative Safety Analysis of Empagliflozin in Type 2 Diabetes Mellitus Patients with Chronic Kidney Disease versus Normal Kidney Function: A Nationwide Cohort Study in Korea.

BACKGROUND: Empagliflozin has been shown to reduce cardiovascular morbidity and mortality in patients with type 2 diabetes. Various research on its efficacy in patients with chronic kidney disease (CKD) have been actively conducted. So far, few studies have investigated the safety of these adverse effects specifically in Asians with CKD. We aim to address these safety concerns on a patient population of Asian CKD patients using real-world data. METHODS: We conducted a retrospective cohort study using health insurance data from the Korean Health Insurance Review & Assessment Service and compared safety outcomes between empagliflozin and sitagliptin in 26,347 CKD patients diagnosed with diabetes. Adverse outcomes, including major adverse cardiac events (MACEs), all-cause mortality, myocardial infarction (MI), stroke, and hospitalization for heart failure (HHF), among others, were assessed. RESULTS: Among a 1:1 matched cohort (6170 on empagliflozin, 6170 on sitagliptin), empagliflozin was associated with a significant reduction in MACEs, all-cause mortality, MI, hospitalization for unstable angina, coronary revascularization, HHF, hypoglycemic events, and urinary tract infections, but increased the risk of genital tract infections. No significant changes were observed for transient ischemic attack, acute kidney injury, volume depletion, diabetic ketoacidosis, thromboembolic events, and fractures. CONCLUSIONS: The usage of empagliflozin in diabetic CKD patients shows a significant reduction in many adverse outcomes compared to sitagliptin, but with an increased risk of genital tract infections. These findings provide evidence for future clinical decision-making around the use of empagliflozin in Asian CKD patients.

Clinical impacts of the concomitant use of L-asparaginase and total parenteral nutrition containing L-aspartic acid in patients with acute lymphoblastic leukemia.

Introduction: L-asparaginase (ASNase) depletes L-asparagine and causes the death of leukemic cells, making it a mainstay for the treatment of acute lymphoblastic leukemia (ALL). However, ASNase's activity can be inhibited by L-aspartic acid (Asp), which competes for the same substrate and reduces the drug's efficacy. While many commercially used total parenteral nutrition (TPN) products contain Asp, it is unclear how the concomitant use of TPNs containing Asp (Asp-TPN) affects ALL patients treated with ASNase. This propensity-matched retrospective cohort study evaluated the clinical effects of the interaction between ASNase and Asp-TPN. Methods: The study population included newly diagnosed adult Korean ALL patients who received VPDL induction therapy consisting of vincristine, prednisolone, daunorubicin, and Escherichia coli L-asparaginase between 2004 and 2021. Patients were divided into two groups based on their exposure to Asp-TPN: (1) Asp-TPN group and (2) control group. Data, including baseline characteristics, disease information, medication information, and laboratory data, were collected retrospectively. The primary outcomes for the effectiveness were overall and complete response rates. Relapse-free survival at six months and one year of treatment were also evaluated. The safety of both TPN and ASNase was evaluated by comparing liver function test levels between groups. A 1:1 propensity score matching analysis was conducted to minimize potential selection bias. Results: The analysis included a total of 112 ALL patients, and 34 of whom received Asp-TPN and ASNase concomitantly. After propensity score matching, 30 patients remained in each group. The concomitant use of Asp-TPN and ASNase did not affect the overall response rate (odds ratio [OR] 0.53; 95% confidence interval [CI] = 0.17-1.62) or the complete response rate (OR 0.86; 95% CI = 0.29-2.59) of the ASNase-including induction therapy. The concomitant use of Asp-TPN and ASNase also did not impact relapse-free survival (RFS) at six months and one year of treatment (OR 1.00; 95% CI = 0.36-2.78 and OR 1.24; 95% CI, 0.50-3.12, respectively). The peak levels of each liver function test (LFT) and the frequency of LFT elevations were evaluated during induction therapy and showed no difference between the two groups. Conclusion: There is no clear rationale for avoiding Asp-TPN in ASNase-treated patients.

Association of Tumor Necrosis Factor Inhibitors with the Risk of Nontuberculous Mycobacterial Infection in Patients with Rheumatoid Arthritis: A Nationwide Cohort Study.

Tumor necrosis factor inhibitors (TNFi) are proposed as a risk factor for nontuberculous mycobacteria (NTM) infection. Limited research investigates NTM infection risk in rheumatoid arthritis (RA) patients treated with TNFi compared to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), considering other concurrent or prior non-TNFi antirheumatic drugs. We aimed to evaluate the NTM infection risk associated with TNFi using a real-world database. Patients with RA treated with TNFi or csDMARDs between 2005 and 2016 were identified utilizing the Korean National Health Insurance Service database. To minimize potential bias, we aligned the initiation year of csDMARDs for both TNFi and csDMARD users and tracked them from their respective treatment start dates. The association of TNFi with NTM infection risk was estimated in a one-to-one matched cohort using a multivariable conditional Cox regression analysis. In the matched cohort (n = 4556), the incidence rates of NTM infection were 2.47 and 3.66 per 1000 person-year in TNFi and csDMARD users. Compared to csDMARDs, TNFi did not increase the risk of NTM infection (adjusted hazard ratio (aHR) 0.517 (95% confidence interval, 0.205-1.301)). The TNFi use in RA patients was not associated with an increased risk of NTM infection compared to csDMARDs. Nevertheless, monitoring during TNFi treatment is crucial.

Consultation-Based Deprescribing Service to Optimize Palliative Care for Terminal Cancer Patients.

(1) Background: A pharmacist-led deprescribing service previously developed within the Consultation-Based Palliative Care Team (CB-PCT) was implemented for terminal cancer patients. (2) Objective: To evaluate the clinical outcomes of the developed deprescribing service for terminal cancer patients in CB-PCT. (3) Methods: A retrospective analysis compared the active care (AC) group to the historical usual care (UC) group. The clinical outcomes included the deprescribing rate of preventive medications, the proportion of patients with one or more medication-related problems (MRPs) resolved upon discharge, and the clinical significance. The implementability of the service was also gauged by the acceptance rates of pharmacists' interventions. (4) Results: Preventive medications included lipid-lowering agents, gastroprotective agents, vitamins, antihypertensives, and antidiabetic agents. The AC group revealed a higher deprescribing rate (10.4% in the UC group vs. 29.6% in the AC group, p < 0.001). At discharge, more AC patients had one or more MRPs deprescribed (39.7% vs. 2.97% in UC, p < 0.001). The clinical significance consistently had a very significant rating (mean score of 2.96 out of 4). Acceptance rates were notably higher in the AC group (30.0% vs. 78.0%. p = 0.003). (5) Conclusions: The collaborative deprescribing service in CB-PCT effectively identified and deprescribed MRPs that are clinically significant and implementable in practice.

Body Surface Area-Based Dosing of Mycophenolate Mofetil in Pediatric Hematopoietic Stem Cell Transplant Recipients: A Prospective Population Pharmacokinetic Study.

Mycophenolate mofetil (MMF) is commonly used for acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation (HSCT). However, limited population pharmacokinetic (PPK) data are available for pediatric HSCT patients. This study aimed to develop a PPK model and recommend optimal oral MMF dosage in pediatric HSCT patients. This prospective study involved pediatric HSCT patients at a tertiary academic institution. Patients received oral MMF 15-20 mg/kg twice daily for aGVHD prophylaxis and treatment. The PPK analysis was conducted using a nonlinear mixed-effects modeling method. Simulation was performed considering different body surface areas (BSAs) (0.5 m2, 1.0 m2, 1.5 m2) and dosing (400 mg/m2, 600 mg/m2, 900 mg/m2 twice daily). Based on the simulation, an optimal dosage of oral MMF was suggested. A total of 20 patients and 80 samples were included in the PPK model development. A one-compartment model with first-order absorption adequately described the pharmacokinetics of mycophenolic acid (MPA). BSA was a statistically significant covariate on Vd/F. Simulation suggested the optimal dosage of oral MMF as 900 mg/m2 twice daily, respectively. A reliable PPK model was developed with good predictive performance. This model-informed optimal MMF dosage in pediatric HSCT patients can provide valuable dosing guidance in real-world clinical practice.

Discovery of Biomarkers Related to Interstitial Fibrosis and Tubular Atrophy among Kidney Transplant Recipients by mRNA-Sequencing.

Interstitial fibrosis and tubular atrophy (IF/TA) after kidney transplantation causes a chronic deterioration of graft function. IF/TA can be diagnosed by means of a graft biopsy, which is a necessity as non-invasive diagnostic methods are unavailable. In this study, we identified IF/TA-related differentially expressed genes (DEGs) through next-generation sequencing using peripheral blood mononuclear cells. Blood samples from kidney transplant recipients undergoing standard immunosuppressive therapy (tacrolimus/mycophenolate mofetil or mycophenolate sodium/steroid) and diagnosed as IF/TA (n = 41) or normal (controls; n = 41) at their one-year protocol biopsy were recruited between January of 2020 and August of 2020. DEGs were derived through mRNA sequencing and validated by means of a quantitative real-time polymerase chain reaction. We identified 34 DEGs related to IF/TA. ADAMTS2, PLIN5, CLDN9, and KCNJ15 demonstrated a log2(fold change) of >1.5 and an area under the receiver operating characteristic curve (AUC) value of >0.6, with ADAMTS2 showing the largest AUC value and expression levels, which were 3.5-fold higher in the IF/TA group relative to that observed in the control group. We identified and validated DEGs related to IF/TA progression at one-year post-transplantation. Specifically, we identified ADAMTS2 as a potential IF/TA biomarker.

Ethnic variability in the allelic distribution of pharmacogenes between Korean and other populations.

OBJECTIVE: We examined the differences in allele frequencies for pharmacogenes among the Korean (KOR), Chinese (CHB), Japanese (JPT), Caucasian (CEU), and Nigerian (YRI) populations. METHODS: Fifty-seven pharmacogenes were selected from the imputed Korean Association REsource and HapMap databases. Minor allele frequencies were analyzed using the sample size-modified single nucleotide polymorphism-specific fixation index (FST) and the χ-test with Bonferroni's correction. Geneset analysis was also carried out to identify pharmacogenes that have significantly different allele frequencies among the various populations tested. RESULTS: The KOR population was the most divergent group from the YRI population (FST: 0.079) but very similar to the CHB and JPT populations (FST: 0.003). VKORC1 showed a large population divergence in the KOR-YRI (0.439) comparison. CYP3A4 was also highly divergent in the KOR-YRI (FST: 0.361) comparison. The calcium signaling pathway gene set was divergent in all pairwise population comparisons. CONCLUSION: In terms of the 57 pharmacogenes studied, there were no significant differences among the KOR, CHB, and JPT populations. However, the YRI and CEU populations were significantly differentiated from the three Eastern Asian groups. Future pharmacogenomics studies can utilize the polymorphisms identified in this study, as these variants may have important implications for the selection of highly informative single nucleotide polymorphisms for future clinical trials.