Introduction: Non-syndromic hereditary hearing loss is characterized by extreme genetic heterogeneity. So far, more than 100 pathogenic or likely pathogenic variants in TMC1 gene have been reported in patients with autosomal recessive hearing loss (HL) DFNB7/11. The prevailing auditory phenotype of individuals with DFNB7/11 is congenital, profound, bilateral HL, but the functional outcome after cochlear implantation (CI) described in the literature is variable. The objective of this work is to evaluate the auditory outcome after CI in pediatric patients with DFNB7/11, born to non-consanguineous parents. Methods: A retrospective analysis of genetic and audiological data of DFNB7/11 patients followed up in a single Italian otolaryngology clinic was performed. Cases with biallelic pathogenic variants in TMC1 were selected from the cohort of children with non-syndromic hearing loss who had undergone CI and had been molecularly characterized by multigene panel testing. All patients underwent extensive audiological assessment, and the auditory outcome after CI was evaluated. Results: DFNB7/11 was diagnosed in a total of 3 patients from 2 non-consanguineous families; a novel disease-causing variant in TMC1 was detected [c.962G>A p.(Trp321*)]. All the affected children showed the typical DFNB7/11 phenotype characterized by prelingual, severe-to-profound HL. The patients showed an excellent functional outcome after CI; speech perception, nonverbal cognition, and speech performance were comparable to those of patients with DFNB1 deafness. Discussion/Conclusion: Our results do not support the variable auditory outcome reported in the literature, which may be affected by several social and environmental factors and by the genetic background.

Introduction: Non-syndromic hereditary hearing loss is characterized by extreme genetic heterogeneity. So far, more than 100 pathogenic or likely pathogenic variants in TMC1 gene have been reported in patients with autosomal recessive hearing loss (HL) DFNB7/11. The prevailing auditory phenotype of individuals with DFNB7/11 is congenital, profound, bilateral HL, but the functional outcome after cochlear implantation (CI) described in the literature is variable. The objective of this work is to evaluate the auditory outcome after CI in pediatric patients with DFNB7/11, born to non-consanguineous parents. Methods: A retrospective analysis of genetic and audiological data of DFNB7/11 patients followed up in a single Italian otolaryngology clinic was performed. Cases with biallelic pathogenic variants in TMC1 were selected from the cohort of children with non-syndromic hearing loss who had undergone CI and had been molecularly characterized by multigene panel testing. All patients underwent extensive audiological assessment, and the auditory outcome after CI was evaluated. Results: DFNB7/11 was diagnosed in a total of 3 patients from 2 non-consanguineous families; a novel disease-causing variant in TMC1 was detected [c.962G>A p.(Trp321*)]. All the affected children showed the typical DFNB7/11 phenotype characterized by prelingual, severe-to-profound HL. The patients showed an excellent functional outcome after CI; speech perception, nonverbal cognition, and speech performance were comparable to those of patients with DFNB1 deafness. Discussion/Conclusion: Our results do not support the variable auditory outcome reported in the literature, which may be affected by several social and environmental factors and by the genetic background.

X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool for material science thanks to the development of new synchrotron radiation light sources. It provides information about charge state and local geometry around atoms of interest in operando and extreme conditions. However, in contrast to X-ray diffraction, a quantitative analysis of XANES spectra is rarely performed in the research papers. The reason must be found in the larger amount of time required for the calculation of a single spectrum compared to a diffractogram. For such time-consuming calculations, in the space of several structural parameters, we developed an interpolation approach proposed originally by Smolentsev and Soldatov (2007). The current version of this software, named PyFitIt, is a major upgrade version of FitIt and it is based on machine learning algorithms. We have chosen Jupyter Notebook framework to be friendly for users and at the same time being available for remastering. The analytical work is divided into two steps. First, the series of experimental spectra are analyzed statistically and decomposed into principal components. Second, pure spectral profiles, recovered by principal components, are fitted by theoretical interpolated spectra. We implemented different schemes of choice of nodes for approximation and learning algorithms including Gradient Boosting of Random Trees, Radial Basis Functions and Neural Networks. The fitting procedure can be performed both for a XANES spectrum or for a difference spectrum, thus minimizing the systematic errors of theoretical simulations. The problem of several local minima is addressed in the framework of direct and indirect approaches.

X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool for material science thanks to the development of new synchrotron radiation light sources. It provides information about charge state and local geometry around atoms of interest in operando and extreme conditions. However, in contrast to X-ray diffraction, a quantitative analysis of XANES spectra is rarely performed in the research papers. The reason must be found in the larger amount of time required for the calculation of a single spectrum compared to a diffractogram. For such time-consuming calculations, in the space of several structural parameters, we developed an interpolation approach proposed originally by Smolentsev and Soldatov (2007). The current version of this software, named PyFitIt, is a major upgrade version of FitIt and it is based on machine learning algorithms. We have chosen Jupyter Notebook framework to be friendly for users and at the same time being available for remastering. The analytical work is divided into two steps. First, the series of experimental spectra are analyzed statistically and decomposed into principal components. Second, pure spectral profiles, recovered by principal components, are fitted by theoretical interpolated spectra. We implemented different schemes of choice of nodes for approximation and learning algorithms including Gradient Boosting of Random Trees, Radial Basis Functions and Neural Networks. The fitting procedure can be performed both for a XANES spectrum or for a difference spectrum, thus minimizing the systematic errors of theoretical simulations. The problem of several local minima is addressed in the framework of direct and indirect approaches.

Objectives: Poor medication adherence is common in end-stage renal disease and may cause suboptimal outcomes and increased healthcare costs. We assessed the association between regimen complexity, perceived burden of oral therapy (BOT) and medication adherence in a large sample of hemodialysis (HD) patients. Methods: 1,238 HD patients in 54 Italian centers participated. Data were collected on patients’ socio-demographic characteristics, perceived BOT, quality of life, healthcare satisfaction, social support and medication adherence with a self-administered questionnaire. Data on medication regimen, comorbidities, hospitalizations, and transplant listing status were provided by the nursing staff. We estimated the adjusted association of regimen complexity, BOT and medication adherence with logistic regression. Results: There were 789 (64%) men and the median age was 67 years. Mean daily burden was 9.7 tablets and 48% of patients were adherent to medication prescriptions. The number of tablets prescribed in the medication regimen was associated to adherence likelihood after adjustment for possible confounders. Perceived BOT moderated the association between tablet count and self-reported adherence. Conclusion: Poor adherence was very common in our sample. Reducing tablet burden might help patients be adherent. However, our results suggest that modulating regimen complexity might be ineffective if patients’ negative attitudes toward medications are not addressed concurrently.

Objectives: Poor medication adherence is common in end-stage renal disease and may cause suboptimal outcomes and increased healthcare costs. We assessed the association between regimen complexity, perceived burden of oral therapy (BOT) and medication adherence in a large sample of hemodialysis (HD) patients. Methods: 1,238 HD patients in 54 Italian centers participated. Data were collected on patients’ socio-demographic characteristics, perceived BOT, quality of life, healthcare satisfaction, social support and medication adherence with a self-administered questionnaire. Data on medication regimen, comorbidities, hospitalizations, and transplant listing status were provided by the nursing staff. We estimated the adjusted association of regimen complexity, BOT and medication adherence with logistic regression. Results: There were 789 (64%) men and the median age was 67 years. Mean daily burden was 9.7 tablets and 48% of patients were adherent to medication prescriptions. The number of tablets prescribed in the medication regimen was associated to adherence likelihood after adjustment for possible confounders. Perceived BOT moderated the association between tablet count and self-reported adherence. Conclusion: Poor adherence was very common in our sample. Reducing tablet burden might help patients be adherent. However, our results suggest that modulating regimen complexity might be ineffective if patients’ negative attitudes toward medications are not addressed concurrently.