RESULTS: One circular chromosome and one circular plasmid were discovered in the complete genome of A. baumannii ATCC BAA1605 using whole-genome sequencing. The chromosome is 4,039,171 bp long with a GC content of 39.24%. Many AMR genes, which confer resistance to major classes of antibiotics (beta-lactams, aminoglycosides, tetracycline, sulphonamides), were found on the chromosome. Two genomic islands were predicted on the chromosome, one of which (Genomic Island 1) contains a cluster of AMR genes and mobile elements, suggesting the possibility of horizontal gene transfer. A subtype I-F CRISPR-Cas system was also identified on the chromosome of A. baumannii ATCC BAA1605. This study provides valuable genome data that can be used as a reference for future studies on A. baumannii. The genome of A. baumannii ATCC BAA1605 has been deposited at GenBank under accession no. CP058625 and CP058626.
METHODS: A cross-sectional study was carried out on 100 epilepsy patients, aged 18 years or older that did not have any physical or psychiatric illness. A patient-administered questionnaire was used to assess their knowledge, attitude towards, practice, and perceived effectiveness (KAPP) of CAM. Established adherence assessment tools were used to determine patient medication adherence.
RESULTS: The prevalence of CAM usage was found to be at 58%. CAM was used more frequently by males (n = 32, 60.4%) than by females (n = 26, 55.3%; p = 0.609). The most commonly used CAM included vitamins and minerals (36%), ginseng (16%), antioxidants (15%), and acupuncture (12%). A significant number of patients had low knowledge of (59%) and a positive attitude (54%) toward complementary and alternative medicine. Main reasons for using CAM were a lower price, better availability, and inadequate seizure control by AEDs. About 43% of the patients who used CAM informed their doctor. Prevalence of non-adherence to AED therapy was found to be 68%. A significant association was found between non-adherence and CAM usage (p
METHODS: A descriptive cross-sectional study was conducted among community pharmacists in Lahore from 1 November 2017 to 31 December 2017. A self-administered questionnaire was used for data collection. Non-probability convenience sampling was performed to select community pharmacists. Descriptive statistics were applied and Mann-Whitney U-tests and Kruskal-Wallis tests were performed to compare independent groups using SPSS v.20.0. A P-value of <0.05 was considered statistically significant. Perception and practice scores were determined to access community pharmacist knowledge regarding AMS. A score of 0.5-1 was considered to be very good.
RESULTS: The overall response rate was 70.9%. Sex, age, work experience and education level did not significantly influence the perception and practices of community pharmacists. Experienced pharmacists showed a better response to AMS. The majority of pharmacists strongly agreed that they educate patients on the use of antimicrobials and resistance-related issues.
CONCLUSION: It was concluded that community pharmacists in Lahore have good perception regarding AMS and they are practicing it well. But there are several gaps in their practices that must be filled, such as dispensing without a prescription and dispensing for a longer duration than prescribed. Additionally, there should be strict implementation of guidelines for dispensing antibiotics in order to rationalise antibiotic use and decrease antimicrobial resistance.
OBJECTIVE: The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.
METHODS: FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.
RESULTS: The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P