METHODS: The study involved conducting intradermal injections on four cadavers and participants using a 2 mm length, 34-gauge needle (N-Finders, Inc., South Korea). During the cadaveric study, the polynucleotide prefilled syringe was dyed green, and an anatomist performed dissections, removing only the skin layer. Ultrasonographic observations were carried out to ensure accurate intradermal injection placement.
RESULTS: In all four cadavers, the facial injections at the anterior cheek region were precisely administered intradermally at a 30-degree injection angle. However, the 90-degree injection was found just below the dermal layer upon skin layer removal.
DISCUSSION: The findings suggest that using a 2 mm needle length allows for easy and convenient intradermal injections.
METHODS: The cross-sectional study was conducted at one hospital and 2 community pharmacies in Lahore, Pakistan, from November 2017 to July 2018, and comprised patients using calcium channel blockers. Data was collected using standardised scales to assess lower urinary tract symptoms and quality of life. Data was analysed using SPSS 22.
RESULTS: Of the 410 subjects, 315 (76.8%) were males. The overall median age was 50.84 years, IQR 19 with 126 (30.7%) aged 41-50 years. Of the total, 108 (26.3%) patients were on calcium channel blockers alone, while the rest were taking it in combination with other drugs. Prevalence of lower urinary tract symptoms was 307 (74.9%); mild 103 (25.1%), moderate 201 (49.1%) and severe 106 (25.9%). The symptoms were significantly associated with reduced quality of life (p<0.05).
Conclusion: Majority calcium channel blockers users had clinically significant lower urinary tract symptoms which significantly reduced patients' quality of life.
OBJECTIVES: We aimed to identify risk factors for allopurinol-induced SCARs and to assess their impact on fatality.
METHODS: Adverse drug reaction (ADR) reports with allopurinol as suspected drug were extracted from the Malaysian pharmacovigilance database from year 2000 to 2018. Multiple logistic regression analysis was used to identify significant predictors of allopurinol-induced SCARs. We further analysed the association between covariates and SCARs-related fatality in a separate model. Level of significance was set at p value