Hearing loss with kanamycin treatment for multidrug-resistant tuberculosis in Bangladesh

Pharmacokinetic-Pharmacodynamic (PK-PD) Analysis of Second-Line Anti-Tubercular Drugs in Indian Children with Multi-Drug Resistance

OBJECTIVES

To conduct a thorough pharmacokinetic (PK) - pharmacodynamic (PD) analysis of second-line anti-tubercular therapy (ATT) in children diagnosed with multi-drug resistant tuberculosis (MDR-TB).

METHODS

Twenty-seven children undergoing second-line ATT, including kanamycin (KM, n = 13), fluoroquinolones (FQs, n = 26), ethionamide (ETH, n = 20), para amino salicylic acid (PASA, n = 4), and cycloserine (CS, n = 15), were sampled at 0 (pre-dose), 1, 2, 3, and 4 h post-drug administration. Plasma drug levels were determined using a mass spectrometer and the collected dataset underwent non-compartmental PK analysis using PK solver ver2.0. PK/PD assessments involved individual drug simulation studies on 1000 subjects using Modviz Pop ver 1.0 in R-software.

RESULTS

A total of 22 and 5 children were considered as responders and non-responders, respectively. Non-compartmental PK analysis revealed mean plasma drug levels of this study cohort attained the targeted maximum drug plasma concentration (Cmax). The ratio of Cmax /minimum inhibitory concentration (MIC) or the area under the curve (AUC)/MIC of the studied drugs had not shown a significant difference between responders and non-responders. Non-responders of ETH and ofloxacin had shown deviation from the derived dose-response profile for the simulated population.

CONCLUSIONS

The management of MDR-TB with second-line ATT following national guidelines had cured the majority of the children (> 80%) who participated in the study. Inter-individual variability in few children from the targeted Cmax range suggests the need for future investigations on pharmacogenomic aspects of drug metabolism.

MultiGML: Multimodal graph machine learning for prediction of adverse drug events

Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonstrated high utility in practice, they are at the same time limited to specific information sources. Thus, many current computational approaches neglect a wealth of information which results from the integration of different data sources, such as biological protein function, gene expression, chemical compound structure, cell-based imaging and others. In this work we propose an integrative and explainable multi-modal Graph Machine Learning approach (MultiGML), which fuses knowledge graphs with multiple further data modalities to predict drug related adverse events and general drug target-phenotype associations. MultiGML demonstrates excellent prediction performance compared to alternative algorithms, including various traditional knowledge graph embedding techniques. MultiGML distinguishes itself from alternative techniques by providing in-depth explanations of model predictions, which point towards biological mechanisms associated with predictions of an adverse drug event. Hence, MultiGML could be a versatile tool to support decision making in preclinical drug development.

A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics

The Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) presents here a data compendium of 12,289 Mycobacterium tuberculosis global clinical isolates, all of which have undergone whole-genome sequencing and have had their minimum inhibitory concentrations to 13 antitubercular drugs measured in a single assay. It is the largest matched phenotypic and genotypic dataset for M. tuberculosis to date. Here, we provide a summary detailing the breadth of data collected, along with a description of how the isolates were selected, collected, and uniformly processed in CRyPTIC partner laboratories across 23 countries. The compendium contains 6,814 isolates resistant to at least 1 drug, including 2,129 samples that fully satisfy the clinical definitions of rifampicin resistant (RR), multidrug resistant (MDR), pre-extensively drug resistant (pre-XDR), or extensively drug resistant (XDR). The data are enriched for rare resistance-associated variants, and the current limits of genotypic prediction of resistance status (sensitive/resistant) are presented by using a genetic mutation catalogue, along with the presence of suspected resistance-conferring mutations for isolates resistant to the newly introduced drugs bedaquiline, clofazimine, delamanid, and linezolid. Finally, a case study of rifampicin monoresistance demonstrates how this compendium could be used to advance our genetic understanding of rare resistance phenotypes. The data compendium is fully open source and it is hoped that it will facilitate and inspire future research for years to come.

Validity of automated audiometry for hearing examination in patients with multidrug-resistant tuberculosis

Background: The objective of this study was to test the validity of automated audiometry as a method of hearing examination in patients with multidrug-resistant tuberculosis. Method s: This was a cross-sectional comparative study with a retrospective approach, using patient medical records. Patients with multidrug-resistant tuberculosis (MDR-TB) were recruited based-on medical records that met the inclusion and exclusion criteria at the Pulmonology outpatient unit, then referred to the Otorhinolaryngology outpatient unit of the Dr. Soetomo Academic Medical Center. The subjects' hearing function was measured with two different devices (automated audiometer and conventional audiometer) before being given anti-tuberculosis drug therapy (aminoglycoside injection) as ototoxicity monitoring from July to December 2019 period. Sensitivity and specificity analysis was used to assess the validity of the test. Results: A total of 36 patients (72 ears) were included. The comparison test results using the Mann-Whitney test showed that there were significant differences between automated audiometry and conventional audiometry in both ears. Analysis values were: sensitivity 80-97%, specificity 37-96%, positive predictive value 74-98%, and negative predictive value 59-96%. Conclusion s: Automated audiometry is valid for use as a method of hearing examination and monitoring in patients with multidrug-resistant tuberculosis.

Validity of automated audiometry for hearing examination in patients with multidrug-resistant tuberculosis

Background: The objective of this study was to test the validity of automated audiometry as a method of hearing examination in patients with multidrug-resistant tuberculosis. Method s: This was a cross-sectional comparative study with a retrospective approach, using patient medical records. Patients with multidrug-resistant tuberculosis (MDR-TB) were recruited based-on medical records that met the inclusion and exclusion criteria at the Pulmonology outpatient unit, then referred to the Otorhinolaryngology outpatient unit of the Dr. Soetomo Academic Medical Center. The subjects' hearing function was measured with two different devices (automated audiometer and conventional audiometer) before being given anti-tuberculosis drug therapy (aminoglycoside injection) as ototoxicity monitoring from July to December 2019 period. Sensitivity and specificity analysis was used to assess the validity of the test. Results: A total of 36 patients (72 ears) were included. The comparison test results using the Mann-Whitney test showed that there were significant differences between automated audiometry and conventional audiometry in both ears. Analysis values were: sensitivity 80-97%, specificity 37-96%, positive predictive value 74-98%, and negative predictive value 59-96%. Conclusion s: Automated audiometry is valid for use as a method of hearing examination and monitoring in patients with multidrug-resistant tuberculosis.

Case Report: Kanamycin Ototoxicity and MDR-TB Treatment Regimen

Introduction

Aminoglycosides are ototoxic drugs because they have the ability to destroy the inner ear structures irreversibly. They are used to treat Gram-negative bacterial infections that are aerobic and as a second-line treatment for tuberculosis.

Case Presentation

A 40-year-old male from Dilla presented with right side chest pain and cough which is productive of whitish sputum of one-year duration, after investigation the diagnosis of multiple-drug resistant tuberculosis (MDR-TB) was made and the patient was started with a short-term MDR-TB treatment regimen (4–6 KM-Mf-Pto-Cfz-Z-HH-E/5Mfx-Cfz-Z-E). Two and half months after the initiation of treatment, he developed decreased bilateral hearing ability and he had also vertigo, but this patient has no hearing impairment before the initiation of the anti-TB treatment. Then the diagnosis of sensor neural hearing loss secondary to drug toxicity (kanamycin) was made. Then the treatment was discontinued for four days as a result of ototoxicity and the patient was referred to Yirgalem Hospital for further workup and management.

Conclusion

Injectable-containing MDR-TB regimens can cause permanent hearing loss. Hearing loss during treatment for MDR-TB with kanamycin can occur at any time. Systematic monitoring of AEs during and after the end of treatment needs to be strengthened in most TB programs. It is important to monitor for hearing loss and kidney function.

Effect of Diabetes Mellitus on Renal and Audiology Toxicities in Patients with Drug-Resistant Pulmonary Tuberculosis

Background: People with diabetes mellitus (DM) have a higher risk for drug-resistant tuberculosis (DR-TB). DR-TB patients with comorbidity of DM were also vulnerable to experience adverse effects of DR-TB treatment. Management of DR-TB with comorbidity of DM is complicated. Also, DM may affect TB response treatment and cause more adverse effects. Objectives: This study was conducted on DR pulmonary TB (DR-PTB) patients to evaluate the effect of DM on adverse effects, especially renal function impairment and audiology impairment, as well as treatment outcomes due to treatment regimens containing kanamycin. Methods: A retrospective study was conducted from 2016 to 2017 at Dr. Soetomo Hospital. Patients who received DR-TB regimens containing kanamycin were included in this study. HbA1c >7 was used to define DM. The adverse effects in this study were impaired renal function (increased serum creatinine) and audiology impairment. Results: Patients who experienced increased serum creatinine were 28/82 (34.1%) with DM and 20/120 (16.7%) without DM, audiology impairment were 22/82 (26.8%) with DM and 19/120 (15.8%) without DM, and unfavorable outcome were 37/82 (45%) with DM and 46/120 (38%) without DM. Moreover, DM is associated with adverse effects and treatment outcomes. Patients with DM have a risk ratio (RR) for increased serum creatinine, audiology impairment, and unfavorable outcome with RR 2.049 (95% CI: 1.242 – 3.379), RR 1.694 (95% CI: 0.982 – 2.925), and RR 1.177 (95% CI: 0.847 – 1.636), respectively. Conclusions: Diabetes mellitus increases the risk of adverse effects, increased serum creatinine, and audiology impairment. Also, it increases the risk of unfavorable treatment outcomes in patients with DR-PTB who receive DR-TB regimens containing kanamycin.

Prevalence of aminoglycoside-induced hearing loss in drug-resistant tuberculosis patients: A systematic review

Objectives estimate the prevalence of ototoxic hearing loss in drug-resistant tuberculosis (DR-TB) patients treated with aminoglycoside antibiotics via a systematic review and meta-analysis. Estimate the annual preventable cases of hearing loss in DR-TB patients and leverage findings to discuss primary, secondary and tertiary prevention. Methods studies published between 2005 and 2018 that reported prevalence of post-treatment hearing loss in DR-TB patients were included. We performed a random effects meta-analysis to determine pooled prevalence of ototoxic hearing loss overall and by medication type. Preventable hearing loss cases were estimated using World Health Organization (WHO) data on DR-TB treatment and prevalence determined by the meta-analysis. Results eighteen studies from 10 countries were included. Pooled prevalence of ototoxic hearing loss and the corresponding 95% confidence interval (CI) was 40.62% CI [32.77- 66.61%] for all drugs (kanamycin: 49.65% CI [32.77- 66.61%], amikacin: 38.93% CI [26.44-53.07%], capreomycin: 10.21% CI [4.33-22.21%]). Non-use of aminoglycosides may result in prevention of approximately 50,000 hearing loss cases annually. Conclusions aminoglycoside use results in high prevalence of ototoxic hearing loss. Widespread prevention of hearing loss can be achieved by following updated WHO guidelines for DR-TB treatment. When hearing loss cannot be avoided, secondary and tertiary prevention should be prioritized.

Pharmacokinetics and other risk factors for kanamycin-induced hearing loss in patients with multi-drug resistant tuberculosis

Objective: The toxicity associated with the use of kanamycin includes irreversible hearing loss. There are limited data describing the relationship between hearing loss and kanamycin pharmacokinetics (PK). We explored the association of kanamycin PK with hearing loss in patients on MDR-TB treatment.Design: We prospectively recruited patients on kanamycin-based MDR-TB treatment in Cape Town. Hearing thresholds from 0.25 to 16 kHz were tested at baseline and at 4, 8 and 12 weeks. We determined kanamycin concentrations at steady-state in serial plasma samples over 10 h, and explored factors associated with hearing loss.Study sample: One hundred and two participants including 58 (56.9%) men had analysable audiometric data; median age was 34.9 years, 65 (63.7%) were HIV-positive, and 24 (23.5%) had been treated for MDR-TB previously.Results: Eighty-four participants (82.4%) developed hearing loss. We found a 3% (95% CI: 1-6%, p = 0.028) increased risk of cochleotoxicity for each 10 µg h/L increase in 0-10 h AUC.Conclusion: We describe a high incidence of hearing loss in MDR-TB patients treated with kanamycin, with higher AUC0-10 significantly associated with hearing loss.

Predictive model of unfavorable outcomes for multidrug-resistant tuberculosis

OBJECTIVE

to analyze the temporal trend, identify the factors related and elaborate a predictive model for unfavorable treatment outcomes for multidrug-resistant tuberculosis (MDR-TB).

METHODS

Retrospective cohort study with all cases diagnosed with MDR-TB between the years 2006 and 2015 in the state of São Paulo. The data were collected from the state system of TB cases notifications (TB-WEB). The temporal trend analyzes of treatment outcomes was performed through the Prais-Winsten analysis. In order to verify the factors related to the unfavorable outcomes, abandonment, death with basic cause TB and treatment failure, the binary logistic regression was used. Pictorial representations of the factors related to treatment outcome and their prognostic capacity through the nomogram were elaborated.

RESULTS

Both abandonment and death have a constant temporal tendency, whereas the failure showed it as decreasing. Regarding the risk factors for such outcomes, using illicit drugs doubled the odds for abandonment and death. Besides that, being diagnosed in emergency units or during hospitalizations was a risk factor for death. On the contrary, having previous multidrug-resistant treatments reduced the odds for the analyzed outcomes by 33%. The nomogram presented a predictive model with 65% accuracy for dropouts, 70% for deaths and 80% for failure.

CONCLUSIONS

The modification of the current model of care is an essential factor for the prevention of unfavorable outcomes. Through predictive models, as presented in this study, it is possible to develop patient-centered actions, considering their risk factors and increasing the chances for cure.