19 research outputs found

    Nurses’ knowledge and practice in relation to peripheral intravenous catheter care

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    Peripheral Intravenous Catheters (PIC) are widely used. Nurses are required to possess appropriate knowledge and practice. The present study aimed to determine nurses' knowledge and practice towards care of PIC. A cross-sectional descriptive study was conducted and 84 respondents participated in the study. A 26-item questionnaire comprising 11 items on knowledge and 15 items related to nursing practice was adapted and modified. The findings reported higher mean score from specialty unit respondents, with knowledge (M = 49.19, SD = 3.44) and practice (M = 66.38, SD = 5.15), compared to medical surgical wards with knowledge (M = 46.25, SD = 4.68) and practice (M = 63.17, SD = 4.63) towards the care of PIC, which was significant (p value = 0.010 and p value = 0.009, respectively). The study indicated a higher mean score of charge nurse respondents as compared with registered nurse with knowledge (M = 49.68, SD = 3.23); (M = 46.20, SD = 4.62) and practice (M = 67.11, SD = 4.84); (M = 63.06, SD = 4.61), which was significant (p value = 0.003 and p value = 0.001, respectively). There were no significant differences between respondents’ education qualification towards care of PIC with p > 0.05. However, the findings reported that respondents who possessed Bachelor of Nursing were deemed to score slightly higher in their knowledge and practice towards the care of PIC. In conclusion, the specialty unit and charge nurse respondents were deemed to possess better knowledge and practice towards the care of PIC in the hospital

    Harnessing the Potential of CRISPR/Cas in Atherosclerosis: Disease Modeling and Therapeutic Applications

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    Atherosclerosis represents one of the major causes of death globally. The high mortality rates and limitations of current therapeutic modalities have urged researchers to explore potential alternative therapies. The clustered regularly interspaced short palindromic repeats-associated protein 9 (CRISPR/Cas9) system is commonly deployed for investigating the genetic aspects of Atherosclerosis. Besides, advances in CRISPR/Cas system has led to extensive options for researchers to study the pathogenesis of this disease. The recent discovery of Cas9 variants, such as dCas9, Cas9n, and xCas9 have been established for various applications, including single base editing, regulation of gene expression, live-cell imaging, epigenetic modification, and genome landscaping. Meanwhile, other Cas proteins, such as Cas12 and Cas13, are gaining popularity for their applications in nucleic acid detection and single-base DNA/RNA modifications. To date, many studies have utilized the CRISPR/Cas9 system to generate disease models of atherosclerosis and identify potential molecular targets that are associated with atherosclerosis. These studies provided proof-of-concept evidence which have established the feasibility of implementing the CRISPR/Cas system in correcting disease-causing alleles. The CRISPR/Cas system holds great potential to be developed as a targeted treatment for patients who are suffering from atherosclerosis. This review highlights the advances in CRISPR/Cas systems and their applications in establishing pathogenetic and therapeutic role of specific genes in atherosclerosis.</jats:p

    Successful treatment of tracheal stenosis by rigid bronchoscopy and topical mitomycin C: a case report

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    Tracheal stenosis is a known complication of prolonged intubation. It is difficult to treat and traditional surgical approach is associated with significant risk and complications. Recurrent stenosis due to granulation tissue necessitates repeated procedures. We describe a case of short web-like tracheal stenosis (concentric membranous stenosis less than 1 cm in length without associated cartilage damage) managed by a minimally invasive thoracic endoscopic approach. Topical application of Mitomycin C, a potent fibroblast inhibitor reduces granulation tissue formation and prevents recurrence

    Rational Design of Temperature-Sensitive Alleles Using Computational Structure Prediction

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    Temperature-sensitive (ts) mutations are mutations that exhibit a mutant phenotype at high or low temperatures and a wild-type phenotype at normal temperature. Temperature-sensitive mutants are valuable tools for geneticists, particularly in the study of essential genes. However, finding ts mutations typically relies on generating and screening many thousands of mutations, which is an expensive and labor-intensive process. Here we describe an in silico method that uses Rosetta and machine learning techniques to predict a highly accurate “top 5” list of ts mutations given the structure of a protein of interest. Rosetta is a protein structure prediction and design code, used here to model and score how proteins accommodate point mutations with side-chain and backbone movements. We show that integrating Rosetta relax-derived features with sequence-based features results in accurate temperature-sensitive mutation predictions
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