Systematic review of drug–drug interactions between rifamycins and anticoagulant and antiplatelet agents and considerations for management

Rifamycins (rifampin, rifabutin, and rifapentine) play an essential role in the treatment of mycobacterial and some nonmycobacterial infections. They also induce the activity of various drug transporting and metabolizing enzymes, which can impact the concentrations and efficacy of substrates. Many anticoagulant and antiplatelet (AC/AP) agents are substrates of these enzymes and have narrow therapeutic indices, leading to risks of thrombosis or bleeding when coadministered with rifamycins. The objective of this systematic review was to evaluate the effects on AC/AP pharmacokinetics, laboratory markers, and clinical safety and efficacy of combined use with rifamycins. A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidance was performed. The PubMed, Embase, and Web of Science databases were queried for English-language reports on combination use of rifamycins and AC/AP agents from database inception through August 2021. The 29 studies identified examined warfarin (n = 17), direct oral anticoagulants (DOACs) (n = 8), and antiplatelet agents (n = 4) combined with rifampin (n = 28) or rifabutin (n = 1). Eleven studies were case reports or small case series; 14 reported on pharmacokinetic or laboratory markers in healthy volunteers. Rifampin-warfarin combinations led to reductions in warfarin area under the curve (AUC) of 15%–74%, with variability by warfarin isomer and study. Warfarin dose increases of up to 3–5 times prerifampin doses were required to maintain coagulation parameters in the therapeutic range. DOAC AUCs were decreased by 20%–67%, with variability by individual agent and with rifampin versus rifabutin. The active metabolite of clopidogrel increased substantially with rifampin coadministration, whereas prasugrel was largely unaffected and ticagrelor saw decreases. Our review suggests most combinations of AC/AP agents and rifampin are problematic. Further studies are required to determine whether rifabutin or rifapentine could be safe alternatives for coadministration with AC/AP drugs.     

1H nuclear magnetic resonance-based metabolic profiling of cerebrospinal fluid to identify metabolic features and markers for tuberculosis meningitis

BackgroundTuberculosis meningitis (TBM) is the most severe form of tuberculosis, and currently lacks efficient diagnostic approaches. Metabolomics has the potential to differentiate patients with TBM from those with other forms of meningitis and meningitis-negative individuals. However, no systemic metabolomics research has compared the cerebrospinal fluid (CSF) of these patients.Methods¹H nuclear magnetic resonance (NMR) was used for CSF metabolic profiling. Principal component analysis and orthogonal signal correction-partial least squares-discriminant analysis (OPLS-DA) were used to screen for important variables. The Human Metabolome Database was used to identify metabolites, and MetaboAnalyst 4.0 was used for pathway analysis and over-representation analysis.ResultsOPLS-DA modeling could distinguish TBM from other forms of meningitis, and several significantly changed metabolites were identified. Additionally, 23, 6, and 21 metabolites were able to differentiate TBM from viral meningitis, bacterial meningitis, and meningitis-negative groups, respectively. Pathway analysis indicated that these metabolites were mainly involved in carbohydrate and amino acid metabolism, and over-representation analysis indicated that some of these pathways were over-represented.ConclusionsThe metabolites identified have the potential to serve as biomarkers for TBM diagnosis, and carbohydrate and amino acid metabolism are perturbed in the CSF of patents with TBM. Metabolomics is a valuable approach for screening TBM biomarkers. With further investigation, the metabolites identified in this study could aid in TBM diagnosis.     

The technological imperative in tuberculosis care and prevention in Vietnam

ABSTRACT

A monocausal bacteriological understanding of infectious disease orients tuberculosis control efforts towards antimicrobial interventions. A bias towards technological solutions can leave multistranded public health and social interventions largely neglected. In the context of globalising biomedical approaches to infectious disease control, this ethnography-inspired review article reflects upon the implementation of rapid diagnostic technology in low- and middle-income countries. Fieldwork observations in Vietnam provided a stimulus for a critical review of the global rollout of tuberculosis diagnostic technology. To address local needs in tuberculosis control, health managers in resource-poor settings are readily cooperating with international donors to deploy novel diagnostic technologies throughout national tuberculosis programme facilities. Increasing investment in new diagnostic technologies is predicated on the supposition that these interventions will ameliorate disease outcomes. However, suboptimal treatment control persists even when accurate diagnostic technologies are available, suggesting that promotion of singular technological solutions can distract from addressing systemic change, without which disease susceptibility, propagation of infection, detection gaps, diagnostic delays, and treatment shortfalls persist.     

肺腺癌对一代EGFR-TKIs原发耐药的危险因素分析

目的:分析对一代表皮生长因子受体酪氨酸激酶抑制剂(epidermal growth factor receptor-tyrosine kinase inhibitors,EGFR-TKIs)原发耐药的EGFR突变肺腺癌患者的临床特征,为预测肺腺癌患者是否对一代EGFR-TKIs原发耐药提供依据。方法:收集2014年01月至2019年04月于本院住院,一线使用一代EGFR-TKIs且随访时间超过6个月的EGFR敏感突变(19Del/21L858R)肺腺癌患者,根据疗效纳入原发性耐药组(NR=40)和敏感组(NS=237),比较两组患者的临床、影像特征及实验室指标之间的差异,分析对一代EGFR-TKIs原发耐药的危险因素。结果:EGFR敏感突变患者的原发性耐药发生率为14.4%。原发性耐药组与敏感组患者相比,二者在吸烟指数(P=0.004)及淋巴结转移(P=0.03)的差异有统计学意义。血清神经元特异性烯醇化酶(neuron specific enolase,NSE)≥10.725 ng/mL、肿瘤直径≥3.55 cm的患者更易对一代EGFR-TKIs耐药(P<0.05),各因素AUC值分别为0.615、0.716。联合NSE+肿瘤直径两项指标时AUC为0.735(95%CI:0.665~0.804),联合NSE+肿瘤直径+吸烟指数三项指标时AUC为0.751(95%CI:0.679~0.822),均优于单项指标。多因素Logistics回归分析证实,血清NSE浓度、肿瘤直径及吸烟指数是预测EGFR敏感突变患者对一代EGFR-TKI原发耐药的独立影响因素(P<0.05)。结论:吸烟指数≥400、病灶直径≥3.55 cm、血清NSE浓度≥10.725 ng/mL的患者更易对一代EGFR-TKIs原发耐药。单因素对预测EGFR突变患者是否对一代EGFR-TKIs原发耐药准确性较低,综合上述三项指标预测效果更好。