Factors and interventions affecting tacrolimus intrapatient variability: A systematic review and meta-analysis.

BACKGROUNDS: Tacrolimus is a cornerstone of posttransplantation immunosuppressive regimens. Despite routine monitoring, the efficacy of its trough concentrations in reflecting drug concentration fluctuations is limited. Intrapatient variability (IPV) emerges as a novel monitoring marker for predicting clinical outcomes. However, understanding the factors affecting IPV and assessing interventions to address it remain enigmatic, posing a conundrum in clinical management. OBJECTIVES: This systematic review aimed to investigate a spectrum of factors affecting IPV and assess the effect of strategic interventions, thereby charting a course for enhanced clinical stewardship. METHODS: We electronically searched of PubMed, Embase, and the Cochrane Library databases for studies investigating factors and interventions affecting IPV up to October 2023. Two reviewers independently screened literature, extracted data, and assessed quality, using RevMan 5.4.1 software for meta-analysis. RESULTS: A total of 15 randomized controlled trials (RCTs), 34 cohort studies, and 20 self-controlled studies were included. The results indicated that IPV was significantly higher in cytochrome P450 3A5 (CYP3A5) expressers, nonadherent patients, patients taking proton pump inhibitors or statins, and Black or African American recipients, whereas recipients consuming extended-release formulation exhibited lower IPV. Additionally, the participation of pharmacists had a positive effect on improving IPV. CONCLUSIONS: Factors affecting IPV encompassed genotype, formulation, adherence, drug combinations, and ethnicity, with each factor exerting varying degrees of effect. Identifying these factors was crucial for developing targeted intervention strategies. While the participation of pharmacists held a promise in improving IPV, further investigation of interventions such as mobile technology, educational measures to enhance adherence, and personalized dosing regimens was warranted.

Is therapeutic drug monitoring a dancing partner for TNF-α inhibitors in real-world practice? Answers from an updated systematic review and meta-analysis.

INTRODUCTION: This systematic review aimed to determine the effect of therapeutic drug monitoring (TDM) for tumor necrosis factor-α inhibitors (TNF-αI) in immune-mediated inflammatory diseases (IMIDs) based on real-world evidence, as results from published meta-analyses based on randomized controlled trials (RCTs) may not fully capture the nuances of clinical practice due to strict criteria. METHODS: We searched PubMed, Embase, and the Cochrane Library up to 1 August 2023. Cohort studies comparing TDM (proactive and reactive) with empirical management were included. Primary outcome was effectiveness [for IBDs: clinical remission; for rheumatic diseases: clinical remission or low disease activity], with certainty of evidence appraised using the GRADE approach. Secondary outcomes included treatment failure, serious adverse events (SAEs), IMIDs-related surgeries or hospitalizations, and anti-drug antibodies (ADAs) development risk. RESULTS: Twenty-four cohort studies were included and almost all were on infliximab. For IBDs, compared with empirical management, proactive TDM significantly improved clinical remission (RR = 1.15, 95% CI = 1.04-1.28), reduced IBDs-related surgeries (RR = 0.46, 95% CI = 0.26-0.81), hospitalizations (RR = 0.60, 95% CI = 0.43-0.83), SAEs (RR = 0.23, 95% CI = 0.07-0.76), and ADAs development risk (RR = 0.34, 95% CI = 0.19-0.60). Reactive TDM significantly lowered hospitalization rates and might be cost-effective. Proactive TDM outperformed reactive TDM in secondary outcomes. For rheumatic diseases, benefits of TDM were inconclusive due to limited evidence. CONCLUSIONS: Real-world evidence supports proactive TDM of TNF-αI (particularly infliximab) in IBDs to improve effectiveness, safety, and immunogenicity. However, benefits of TDM for different TNF-αI in other IMIDs remain uncertain. PROTOCOL REGISTRATION: www.crd.york.ac.uk/ PROSPERO identifier is CRD42022370846.

Do rheumatic diseases, long-term glucocorticoids, and immunosuppressant treatment, and vaccination impact the COVID-19 severity? Insight from a retrospective cohort study.

OBJECTIVES: The impact of rheumatic diseases, long-term medication, and vaccination on COVID-19 severity remain insufficiently understood, hindering effective patient management. This study aims to investigate factors influencing COVID-19 severity in Chinese rheumatic patients and to provide real-world evidence for patient care. METHODS: We conducted a retrospective observational study consisting of two cohorts, followed by a nested case-control analysis. The outpatient cohort included non-severe COVID-19 patients, while the inpatient cohort included consecutive severe COVID-19 inpatients. Additionally, rheumatic patients from both cohorts were included for the nested case-control study. Clinical information was obtained from electronic medical records and surveys. RESULTS: A total of 749 outpatients and 167 inpatients were enrolled. In the outpatient cohort, rheumatic diseases were identified as a risk factor for the severity of dyspnea (No rheumatic disease: OR = 0.577, 95% CI = 0.396-0.841, p = .004), but not for mortality, length of hospitalization, or hospitalization costs in the inpatient cohort. Long-term glucocorticoids use was identified as an independent risk factor for severity of dyspnea in rheumatic patients (OR = 1.814, 95% CI = 1.235-2.663, p = .002), while vaccination and immunosuppressant treatment showed no association. Vaccination was identified as a protective factor against hospitalization due to COVID-19 in patients with rheumatic diseases (OR = 0.031, 95% CI = 0.007-0.136, p < .001), whereas long-term glucocorticoids and immunosuppressant treatment showed no association. CONCLUSIONS: Rheumatic diseases and long-term glucocorticoids use are significant risk factors for COVID-19 severity in the Chinese population, whereas emphasizing the protective effects of vaccines against COVID-19 severity is crucial. Additionally, the investigation provides preliminary support for the concept that long-term immunosuppressant therapy does not necessarily require additional prescription adjustments.

Evidence-based expert consensus on clinical management of safety of Bruton's tyrosine kinase inhibitors (2024).

Bruton's tyrosine kinase inhibitors (BTKis) have revolutionized the treatment of B-cell lymphomas. However, safety issues related to the use of BTKis may hinder treatment continuity and further affect clinical efficacy. A comprehensive and systematic expert consensus from a pharmacological perspective is lacking for safety issues associated with BTKi treatment. A multidisciplinary consensus working group was established, comprising 35 members from the fields of hematology, cardiovascular disease, cardio-oncology, clinical pharmacy, and evidence-based medicine. This evidence-based expert consensus was formulated using an evidence-based approach and the Delphi method. The Joanna Briggs Institute Critical Appraisal (JBI) tool and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach were used to rate the quality of evidence and grade the strength of recommendations, respectively. This consensus provides practical recommendations for BTKis medication based on nine aspects within three domains, including the management of common adverse drug events such as bleeding, cardiovascular events, and hematological toxicity, as well as the management of drug-drug interactions and guidance for special populations. This multidisciplinary expert consensus could contribute to promoting a multi-dimensional, comprehensive and standardized management of BTKis.

Therapeutic drug monitoring guidelines in oncology: what do we know and how to move forward? Insights from a systematic review.

Background: Compared with anti-infective drugs, immunosuppressants and other fields, the application of therapeutic drug monitoring (TDM) in oncology is somewhat limited. Objective: We aimed to provide a comprehensive understanding of TDM guidelines for antineoplastic drugs and to promote the development of individualized drug therapy in oncology. Design: This study type is a systematic review. Data sources and methods: This study was performed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement. Databases including PubMed, Embase, the official websites of TDM-related associations and Chinese databases were comprehensively searched up to March 2023. Two investigators independently screened the literature and extracted data. The methodological and reporting quality was evaluated using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) and the Reporting Items for Practice Guidelines in Healthcare (RIGHT), respectively. Recommendations and quality evaluation results were presented by visual plots. This study was registered in PROSPERO (No. CRD42022325661). Results: A total of eight studies were included, with publication years ranging from 2014 to 2022. From the perspective of guideline development, two guidelines were developed using evidence-based methods. Among the included guidelines, four guidelines were for cytotoxic antineoplastic drugs, three for small molecule kinase inhibitors, and one for antineoplastic biosimilars. Currently available guidelines and clinical practice provided recommendations of individualized medication in oncology based on TDM, as well as influencing factors. With regard to methodological quality based on AGREE II, the average overall quality score was 55.21%. As for the reporting quality by RIGHT evaluation, the average reporting rate was 53.57%. Conclusion: From the perspective of current guidelines, TDM in oncology is now being expanded from cytotoxic antineoplastic drugs to newer targeted treatments. Whereas, the types of antineoplastic drugs involved are still small, and there is still room for quality improvement. Furthermore, the reflected gaps warrant future studies into the exposure-response relationships and population pharmacokinetics models.

Population pharmacokinetics of nirmatrelvir in Chinese patients with COVID-19: Therapeutic drug monitoring and dosing regimen selection in clinical practice.

OBJECTIVES: To establish a population pharmacokinetics (PopPK) model of nirmatrelvir in Chinese COVID-19 patients and provide reference for refining the dosing strategy of nirmatrelvir in patients confirmed to be infected with SARS-CoV-2. METHODS: A total of 80 blood samples were obtained from 35 mild to moderate COVID-19 patients who were orally administered nirmatrelvir/ritonavir tablets. The PopPK model of nirmatrelvir was developed using a nonlinear mixed effects modelling approach. The stability and prediction of the final model were assessed through a combination of goodness-of-fit and bootstrap method. The exposure of nirmatrelvir across various clinical scenarios was simulated using Monte Carlo simulations. RESULTS: The pharmacokinetics of nirmatrelvir was well characterised by a one-compartment model with first-order absorption, and with creatinine clearance (Ccr) as the significant covariate. Typical population parameter estimates of apparent clearance and distribution volume for a patient with a Ccr of 95.5 mL·min-1were 3.45 L·h-1 and 48.71 L, respectively. The bootstrap and visual predictive check procedures demonstrated satisfactory predictive performance and robustness of the final model. CONCLUSION: The final model was capable of offering an early prediction of drug concentration ranges for different nirmatrelvir dosing regimens and optimise the dose regimen of nirmatrelvir in individuals with confirmed SARS-CoV-2 infection.

Cough symptoms in children following COVID-19: a single-center retrospective study.

Background: Cough is the most common respiratory symptom in children with mild coronavirus disease 2019 (COVID-19); however, evidence regarding the duration and severity of COVID-19-related cough is sparse. Herein, we investigated the correlation between cough severity/duration and disease duration in children with allergic diseases following COVID-19. Methods: This single-center, retrospective case-control study was conducted at the Department of Pediatrics, Peking University Third Hospital, from February 6-13, 2023. Children aged 0-16 completed a questionnaire survey collecting basic information and weekly cough scores for 8 consecutive weeks after COVID-19 in December 2022. The Kaplan-Meier method was used to draw event curves, and the log-rank method was used to compare inter-group differences. Stepwise regression was applied for multivariate analysis of correlations between age, sex, allergic diseases, and the degree and duration of cough following COVID-19. Results: Overall, 686 children were included, of whom 183 (26.7%) had allergic diseases and 503 (73.3%) did not. Kaplan-Meier analysis identified significant differences between patients with and without allergic disease (log-rank test, P = 0.002) and between patients with no allergic disease and those with one and more than one allergic disease (log-rank test, P = 0.003). Multivariate regression identified a link between the presence of more than one allergic disease and coughing for >4 weeks after infection (P < 0.001). Allergic disease was the primary factor linked to cough symptoms lasting 8 weeks and cough severity (P < 0.001). Conclusions: Allergic disease contributes to the prolonged duration and severity of coughing in children with mild COVID-19.

Toward Genetic Testing of Rivaroxaban? Insights from a Systematic Review on the Role of Genetic Polymorphism in Rivaroxaban Therapy.

BACKGROUND: Investigations into the rivaroxaban response from the perspective of genetic variation have been relatively recent and wide in scope, whereas there is no consensus on the necessity of genetic testing of rivaroxaban. Thus, this systematic review aims to thoroughly evaluate the relationship between genetic polymorphisms and rivaroxaban outcomes. METHODS: The PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Chinese databases were searched to 23 October 2022. We included cohort studies reporting the pharmacogenetic correlation of rivaroxaban. Outcomes measured included efficacy (all-cause mortality, thromboembolic events and coagulation-related tests), safety (major bleeding, clinically relevant non-major bleeding [CRNMB] and any hemorrhage), and pharmacokinetic outcomes. A narrative synthesis was performed to summarize findings from individual studies according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the reporting guideline for Synthesis Without Meta-Analysis. RESULTS: A total of 12 studies published between 2019 and 2022 involving 1364 patients were included. Ten, one, and six studies focused on the ABCB1, ABCG2, and CYP gene polymorphisms, respectively. Pharmacokinetic outcomes accounted for the majority of the outcomes reported (n = 11), followed by efficacy (n = 5) [including prothrombin time (PT) or international normalized ratio (n = 3), platelet inhibition rate (PIR) or platelet reactivity units (PRUs; n = 1), thromboembolic events (n = 1)], and safety (n = 5) [including major bleeding (n = 2), CRNMB (n = 2), any hemorrhage (n = 1)]. For ABCB1 gene polymorphism, the relationship between PT and ABCB1 rs1045642 was inconsistent across studies, however there was no pharmacogenetic relationship with other efficacy outcomes. Safety associations were found in ABCB1 rs4148738 and major bleeding, ABCB1 rs4148738 and CRNMB, ABCB1 rs1045642 and CRNMB, and ABCB1 rs2032582 and hemorrhage. Pharmacokinetic results were inconsistent among studies. For ABCG2 gene polymorphism, no correlation was observed between ABCG2 rs2231142 and dose-adjusted trough concentration (Cmin/D). For CYP gene polymorphisms, PIR or PRUs have a relationship with CYP2C19 rs12248560, however bleeding or pharmacokinetic effects did not show similar results. CONCLUSIONS: Currently available data are insufficient to confirm the relationship between clinical or pharmacokinetic outcomes of rivaroxaban and gene polymorphisms. Proactive strategies are advised as a priority in clinical practice rather than detection of SNP genotyping. CLINICAL TRIALS REGISTRATION: PROSPERO registration number CRD42022347907.

Acute kidney injury events in patients with diabetes using sodium glucose transporter 2 inhibitors: a meta-analysis of cohort studies.

AIMS: To conduct a meta-analysis of cohort studies to explore the association between acute kidney injury (AKI) and the effect of sodium glucose transporter 2 inhibitors (SGLT2 inhibitors) in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: PubMed, Embase, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov were comprehensively searched for eligible studies until April 4, 2023 on the association between AKI and use of SGLT2 inhibitors in T2DM patients. Odds ratios (ORs) and their 95% confidence intervals (CIs) were pooled using the Mantel-Haenszel method. RESULTS: A total of 10 cohort studies (20 cohorts) and 526,863 participants were included in the meta-analysis. Compared with other glucose-lowering drugs (oGLDs), SGLT2 inhibitors were associated with a decreased risk of AKI (OR = 0.50, 95% CI 0.38-0.66, I2 = 96%). Meanwhile, SGLT2 inhibitors demonstrated a significant reduction in the incidence of AKI hospitalization compared with oGLDs (OR = 0.54, 95% CI 0.43-0.68, I2 = 92.0%). The result was consistent across different subgroups, and was robust to sensitivity analysis. CONCLUSIONS: Compared with oGLDs, SGLT2 inhibitors reduced the risk of suffering AKI and AKI hospitalization in the real-world setting. Vigilance to the occurrence of AKI should not be an obstacle to discourage clinicians from prescribing SGLT2 inhibitors.

A chemical derivatization-based pseudotargeted liquid chromatography-tandem mass spectrometry method for sensitive and high coverage determination of bile acids in human serum.

Global profiling of bile acids (BAs) is imperative for understand their function and disease pathogenesis. But it is still a challenging task, as the collision-induced dissociation (CID) fragment ions of unconjugated BAs showed low ion intensities to insufficient analysis. Herein, we developed a highly sensitive method for pseudotargeted profiling of BAs by chemical derivatization. In the developed method, a labeling reagent, 2-dimethylaminoethylamine (DMED), was adopted to label the carboxyl group of BAs. The results demonstrated that the detection sensitivities of unconjugated BAs were increased by 4-200 folds after DMED-labeling. Moreover, to profile other potential BAs not included in the 91 known targets, diverse survey experiments were performed on Qtrap-MS to search BAs for both precursor and fragment ion species, and retention index (RI) strategy was adopted to facilitate the identification of isomers. Finally, MRM-based LC-MS/MS method was validated for the pseudotargeted profiling of the BAs submetabolome with good linearity (r2 ≥ 0.990 for 89 known BAs) and high sensitivity (0.05-0.5 ng/mL for unconjugated BAs), covering unconjugated, glycine, taurine, sulfuric acid, glucuronic acid, and as well as those doubly-conjugated with above types. With this method, a total of 107 BAs, covering 54 BAs identified by authentic standards and 53 BAs candidates, were successfully determined in human serum of women with intrahepatic cholestasis of pregnancy (ICP). Multivariate analysis revealed deferentially expressed BAs. ICP disease altered the BAs profile with a reduced proportion of unconjugated, sulfate- and doubly-conjugated BAs and an increased proportion of glycine and taurine conjugates. Altered proportion and profile of BAs in ICP groups were gradually recovered during the ursodeoxycholic acid (UDCA) therapy. Overall, the strategy of DMED-labeling technique combined with diverse survey experiments is sufficiently sensitive and robust to comprehensively analysis of metabolic profiling of BAs in human serum.

The Effect of Genetic Variation on the Sensitivity to Opioid Analgesics in Patients With Postoperative Pain: An Updated Meta-analysis.

BACKGROUND: Responsiveness to opioid analgesics differs among patients with acute postoperative pain. OBJECTIVE: Our study presents the most recent evidence on the effect of genetic variations on postoperative pain, opioid consumption, nausea, and vomiting in patients treated with opioids. STUDY DESIGN: An updated systematic review and meta-analysis on the association between single-nucleotide polymorphisms and opioids administered to patients with acute postoperative pain. METHODS: PubMed, Embase, ISI Web of Science, and the Cochrane Library databases were searched for articles published from February 1, 2014, through December 31, 2021. RESULTS: Added to the previous meta-analysis, 39 studies (a total of 7,455 patients) were included in the final meta-analysis. Highlights of the findings include: 1) human µ-opioid receptor gene 118G allele carriers required more opioids during the first postoperative 24 hours (standard mean difference [SMD] = -0.27; 95% CI,-0.40 to -0.14; P < 0.0001) and 48 hours (SMD = -0.52; 95% CI, -0.83 to -0.20; P = 0.001), and reported higher pain scores during the first 24 hours but not at the 48-hour postoperative period (SMD = -0.09, 95% CI, -0.15 to -0.03; P = 0.002) compared to homozygous 118AA patients. 2) patients with the CYP3A4 *1G allele required fewer opioids during the first 24-hour postoperative period (SMD = 0.59; 95% CI, 0.05 to 1.14; P = 0.03) compared to patients with the homozygous CYP3A4*1/*1 allele. 3) Adenosine triphosphate-binding cassette subfamily B member-1 (ABCB1) 3435T allele carriers required more opioids during the 48-hour postoperative period (SMD = -0.21; 95% CI, -0.38 to -0.04; P = 0.02) compared to homozygous CC carriers. 4) Catechol-O-methyl transferase 158A allele carriers required fewer opioids during the first 24-hour postoperative period (SMD = 0.33; 95% CI, 0.15 to 0.51; P = 0.0004) compared to homozygous GG carriers. No significant differences were observed in patients with CYP2D6*10 and ABCB1 G2677A/T genetic polymorphisms. LIMITATIONS: Several loci were not analyzed in detail due to insufficient clinical data. Furthermore, nongenetic factors that affected analgesic efficacy and the clinical outcome of postoperative pain were not discussed and were not the aim of this meta-analysis. CONCLUSIONS: In combination with previous systematic reviews and meta-analyses, our results indicate that the A118G allele variant of OPRM1 and the *1*1G allele variant of CYP3A4 have a profound influence on individual differences in opioid reactivity in patients with postoperative pain. Our results, together with the identification of additional single nucleotide polymorphisms in future studies, may provide a theoretical basis for precise clinical analgesia. KEY WORDS: Single nucleotide polymorphism, postoperative pain, opioid, meta-analysis.

Status and Quality of Guidelines for Therapeutic Drug Monitoring Based on AGREE II Instrument.

BACKGROUND: With the progress of therapeutic drug monitoring (TDM) technology and the development of evidence-based medicine, many guidelines were developed and implemented in recent decades. OBJECTIVE: The aim was to evaluate the current status of TDM guidelines and provide suggestions for their development and updates based on Appraisal of Guidelines for Research and Evaluation (AGREE) II. METHODS: The TDM guidelines were systematically searched for among databases including PubMed, Embase, China National Knowledge Infrastructure, Wanfang Data, and the Chinese biomedical literature service system and the official websites of TDM-related associations. The search period was from inception to 6 April 2023. Four researchers independently screened the literature and extracted data. Any disagreement was discussed and reconciled by another researcher. The quality of guidelines was assessed using the AGREE II instrument. RESULTS: A total of 92 guidelines were included, including 57 technical guidelines, three management guidelines, and 32 comprehensive guidelines. The number of TDM guidelines has gradually increased since 1979. The United States published the most guidelines (20 guidelines), followed by China (15 guidelines) and the United Kingdom (ten guidelines), and 23 guidelines were developed by international organizations. Most guidelines are aimed at adult patients only, while 28 guidelines include special populations. With respect to formulation methods, there are 23 evidence-based guidelines. As for quality evaluation results based on AGREE II, comprehensive guidelines scored higher (58.16%) than technical guidelines (51.36%) and administrative guidelines (50.00%). CONCLUSION: The number of TDM guidelines, especially technical and comprehensive ones, has significantly increased in recent years. Most guidelines are confronted with the problems of unclear methodology and low quality of evidence according to AGREE II. More evidence-based research on TDM and high-quality guideline development is recommended to promote individualized therapy.

A prediction model for severe hematological toxicity of BTK inhibitors.

Bruton's tyrosine kinase inhibitor (BTKi) has revolutionized the treatment of B-cell lymphomas. However, BTKi-related hematological toxicity hinders treatment continuity and may further affect clinical efficacy. To identify risk factors and predict the likelihood of BTKi-related hematological toxicities, we constructed and validated a prediction model for severe hematological toxicity of BTKi. Approved by the hospital medical science research ethics committee (No. M2022427), we collected real-world data in patients treated with BTKi from a Lymphoma Research Center in China. The outcome of interest was severe hematological toxicity caused by BTKi. 36 candidate variables were categorized into demographics, diagnostic and treatment information, laboratory data, and medical history. The study sample was randomly divided into training (70%) and validation (30%) sets. We developed and compared the performance of various modelling methods, including decision tree (DT), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and logistic regression (LR). Finally, we constructed a Web-calculator of the optimal model to estimate the risk of hematological toxicity. This study was designed, conducted and reported strictly in compliance with the TRIPOD checklist. Data from a total 121 patients were included [median age, 65 years (range, 56-73 years); 74 (61.15%) men; 47 (38.84%) severe hematological toxicity]. The XGBoost model demonstrated better overall properties than other models, achieving high discrimination (AUC: 0.671; accuracy: 0.730; specificity: 0.913) and clinical benefit. The following 10 variables were used to develop the XGBoost model: white blood cell count (WBC), neutrophil count (Neut), red blood cell count (RBC), platelet count (PLT), fibrinogen (Fib), total protein (TP), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), gender and type of BTKi. SHAP values demonstrated insightful associations between these variables and hematological toxicity. Finally, to facilitate clinical and research use, we also deploy the XGBoost model on a web-calculator for free access. The XGBoost model with promising accuracy was developed to predict the severe hematological toxicity of BTKi. It helps to strengthen the proactive monitoring and management of patients with hematological toxicity, and thus achieve long-term continuous BTKi treatment.

Comparation of time-course, dose-effect, influencing factors and adverse events of biologics in the treatment of adults with moderate to severe plaque psoriasis.

Introduction: Biologics is used for treating moderate to severe plaque psoriasis (MSPP), which represent one of the foremost therapeutic advancements in disease of dermatology. Up to now, the relative efficacy and safety across approved andinvestigational biologics for MSPP is still unclear. Methods: This study aimed to comparative effectiveness of various biological treatments for MSPP measured by PASI75, PASI90 and PASI100 (The ratio of patients whose Psoriasis Area and Severity Index score (PASI) decreased by ≥ 75%, 90% and 100% compared with baseline, respectively). In addition, random models were used together with a Bayesian method to compare direct and indirect Adverse Events (AEs) of biologics with placebo, to make probabilistic statements and predictions on their AEs. The analytic data set was made up of summarized data from 54 trials, including 27,808 patients, with treatment of 17 biologics. Three mathematic models with nonparametric placebo evaluations were established to characterize the longitudinal direction profile for the three efficacy measures as above mentioned. Results: Our results showed significant differences among treatments. Bimekizumab, sonelokimab, and ixekizumab were found to be the most effective treatments among the biologics. The effects of covariate were further evaluated, patients' age, body weight, duration of disease and percentage of patients previously treated with a biological therapy showed impact on the efficacy. In addition, we found that ixekizumab and risankizumab displayed relatively stable as for efficacy and safety. Discussion: Our findings provide valuable insights into the comparative effectiveness and safety of biologics for MSPP treatment. These results may aid in clinical decision-making and ultimately improve patient outcomes.

Association of classic and 11-oxygenated androgens with polycystic ovaries and menstrual cycle prolongation in infertile women with PCOS.

BACKGROUND AND AIMS: The etiology of polycystic ovary syndrome (PCOS) is unclear. This study aimed to evaluate the role of classic and 11-oxygenated (11oxyC19) androgens in two typical signs of PCOS, polycystic ovary morphology (PCOM) and menstrual cycle prolongation. MATERIALS AND METHODS: A total of 462 infertile women with diagnosed PCOS and/or commonly accompanied metabolic disorders were recruited. Classic and 11oxyC19 androgens were determined with a sensitive high-performance liquid chromatography-differential mobility spectrometry tandem mass spectrometry apparatus. Least absolute shrinkage and selection operator logistic regression with fivefold cross-validation was applied to construct prediction models. RESULTS: For PCOM, the most significant contributing androgen was testosterone (T), with the weight of 51.6%. The AUC of the prediction model was 0.824 in validation set. For menstrual cycle prolongation, androstenedione (A4) was the most significant contributing androgen with weights of 77.5%. The AUC the prediction model was less than 0.75. When including other variables, the most significant variable turned to be AMH both in PCOM and in menstrual cycle prolongation. CONCLUSION: Androgens had more contribution in PCOM than in menstrual cycle prolongation. The classic androgen T or A4 contributed more than 11oxyC19 androgens. However, their contributions were diminished when other factors were considered, especially AMH.

Long-term economic evaluation of the recombinant Mycobacterium tuberculosis fusion protein (EC) test for the diagnosis of Mycobacterium tuberculosis infection.

Background: Tuberculosis continues to be a significant global burden. Purified protein derivative of tuberculin (TB-PPD) is one type of tuberculin skin test (TST) and is used commonly for the auxiliary diagnosis of tuberculosis. The recombinant Mycobacterium tuberculosis fusion protein (EC) test is a new test developed in China. Objective: Evaluate the long-term economic implications of using the EC test compared with the TB-PPD test to provide a reference for clinical decision-making. Methods: The target population was people at a high risk persons of being infected with Mycobacterium tuberculosis. The outcome indicator was quality-adjusted life years (QALY). A cost-utility analysis was used to evaluate the long-term economic implications of using the EC test compared with the TB-PPD test. We employed a decision tree-Markov model from the perspective of the whole society within 77 years. Results: Compared with the TB-PPD test, the EC test had a lower cost but higher QALY. The incremental cost-utility ratio was -119,800.7381 CNY/QALY. That is, for each additional QALY, the EC test could save 119,800.7381 CNY: the EC test was more economical than the TB-PPD test. Conclusion: Compared with the TB-PPD test, the EC test would be more economical in the long term for the diagnosis of M. tuberculosis infection according our study.

Toward therapeutic drug monitoring of citalopram in depression? Insights from a systematic review.

Background: Within the framework of individualized psychopharmacotherapy, therapeutic drug monitoring (TDM) has gained increasing relevance. In the absence of high-quality evidence, the TDM of citalopram (CIT) and the recommended therapeutic ranges of the plasma concentrations have been proposed by guidelines. However, the correlation between the plasma concentration of CIT and treatment outcomes has not been well established. Therefore, the aim of this systematic review was to evaluate the relationship between plasma CIT concentration and treatment outcomes in depression. Research design and methods: PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Chinese databases (CNKI, Wanfang Data and Sinomed) were searched up to August 6, 2022. We included clinical studies evaluating the correlation between the plasma CIT concentration and treatment outcomes in patients with depression receiving CIT treatment. Outcomes measured included efficacy, safety, medication adherence, and cost-related outcomes. A narrative synthesis was performed to summarize findings from individual studies. This study was performed according to the Preferred Reporting Items for Systematic Reviews, Meta-Analysis (PRISMA) and the reporting guideline for Synthesis without meta-analysis (SWiM). Results: Eleven studies involving 538 patients were included in total. The reported outcomes were mainly efficacy (n = 11) and safety (n = 3); one study reported the duration of hospitalization, and no study reported medication adherence. Regarding the efficacy outcomes, three studies revealed the plasma CIT concentration-response relationship and proposed a lower limit of 50 or 53 ng/mL, whereas this was not found in the rest of the studies. Regarding adverse drug events (ADEs), one study reported more ADEs in the low-concentration group (<50 ng/mL vs. >50 ng/mL), which is not convincing from the perspective of pharmacokinetics/pharmacodynamics. Regarding the cost-related outcomes, only one study reported that the high CIT concentration group (≥50 ng/mL) contributed to shortening the hospitalization duration, but it did not provide detailed information, including direct medical expenses and multiple potential factors contributing to longer hospital stays. Conclusions: A definite correlation between plasma concentration and clinical or cost-related outcomes of CIT cannot be drawn, whereas a tendency toward improved efficacy in patients with plasma concentration above 50 or 53 ng/mL was suggestive from limited evidence.