Current status of biomedical waste management practices and barriers among private Jordanian dental clinics: A cross-sectional investigation of the capital Amman.

Biomedical waste management (BMWM) is vital in facilitating safe providing of healthcare. Developing countries suffer from the impact of mishandled biomedical waste (BMW) on the general public in addition to healthcare practitioners. Thus, this study aims to investigate the awareness and compliance of dental facilities to BMW regulations. Through a questionnaire designed as per the WHO guidelines on BMWM, we randomly recruited a total of 421 dental facilities representative of Jordan's capital. Mean BMWM practice scores were relatively high for the studied sample (0.748 ± 0.12). Nonetheless, while collection, transportation and storage standards were acceptable, those pertaining to segregation and disposal demonstrated lack of compliance to BMWM safety measures. An alarming number of participants dispose of infectious waste (40%), extracted teeth (48.5%), expired pharmaceuticals (44.4%), liquid chemicals (53.2%), X-ray films (35.0%) and solutions (48.7%) in the general trash or draining system. Such is attributed to either lack of resources, lack of proper equipment or poor awareness with BMWM guidelines. Moreover, it appears that location of the clinic (p < 0.001), occupation (p = 0.026) and presence of regulatory instructions (p = 0.048) were associated with higher BMWM scores. Overall, dental practitioners require proper training in terms of handling hazardous dental, chemical and radioactive wastes. Moreover, regulatory bodies should actively enforce regulations and monitoring, update current compliance legislations and subsidize eco-friendly practices.

Unbiased targeted next-generation sequencing molecular approach for primary immunodeficiency diseases.

BACKGROUND: Molecular genetics techniques are an essential diagnostic tool for primary immunodeficiency diseases (PIDs). The use of next-generation sequencing (NGS) provides a comprehensive way of concurrently screening a large number of PID genes. However, its validity and cost-effectiveness require verification. OBJECTIVES: We sought to identify and overcome complications associated with the use of NGS in a comprehensive gene panel incorporating 162 PID genes. We aimed to ascertain the specificity, sensitivity, and clinical sensitivity of the gene panel and its utility as a diagnostic tool for PIDs. METHODS: A total of 162 PID genes were screened in 261 patients by using the Ion Torrent Proton NGS sequencing platform. Of the 261 patients, 122 had at least 1 known causal mutation at the onset of the study and were used to assess the specificity and sensitivity of the assay. The remaining samples were from unsolved cases that were biased toward more phenotypically and genotypically complicated cases. RESULTS: The assay was able to detect the mutation in 117 (96%) of 122 positive control subjects with known causal mutations. For the unsolved cases, our assay resulted in a molecular genetic diagnosis for 35 of 139 patients. Interestingly, most of these cases represented atypical clinical presentations of known PIDs. CONCLUSIONS: The targeted NGS PID gene panel is a sensitive and cost-effective diagnostic tool that can be used as a first-line molecular assay in patients with PIDs. The assay is an alternative choice to the complex and costly candidate gene approach, particularly for patients with atypical presentation of known PID genes.

Effect of the electronic and physicochemical parameters on the carcinogenesis activity of some sulfa drugs using QSAR analysis based on genetic-MLR and genetic-PLS.

A quantitative structure activity relationship study has been applied to a data set of 18 sulfa drugs with carcinogenesis activity. Semi-empirical quantum chemical calculation (AM1 method) was used to find the optimum 3D geometry of the studied molecules. Two types of molecular descriptors including chemical and electronic was used to derive a quantitative relation between the carcinogenesis activity and structural properties. Two multi-parametric equations with good statistical qualities were obtained using genetic algorithms multiple linear regression (GA-MLR) methods. In addition, genetic algorithm-partial least squares (GA-PLS) regression was used to model the structure-activity relationships, more accurately. The results confirmed the superiority of the results obtained by GA-PLS relative to GA-MLR. The significant effect of the HOMO energy on the carcinogenic activity was explained in the context of the shape of this orbital.