METHODS: This is a retrospective study of patients who visited a sports medicine clinic and received musculoskeletal steroid injections between January 1, 2020 and February 28, 2021. The collected data was compared with the national COVID-19 registry to identify positive COVID-19 patients. The patients were only considered positive for COVID-19 following corticosteroid injection within 3 months after injection.
RESULTS: Out of 502 steroid injections; 79.7% (n = 400) received a single injection in one day, 19.1% (n = 96) received steroid injections at 2 sites in one day, and 1.2% (n = 6) received steroid injections at 3 sites in one day. Using the Fisher's exact test, there was no statistically significant association of COVID-19 infection between the steroid group and control group (relative risk, 1.44; 95% confidence interval, 0.9-23.1, P = 0.654). Only one patient contracted mild COVID-19 with no post COVID complications.
CONCLUSIONS: The authors recommend the use of musculoskeletal steroid injections in clinically indicated situation without having increased risk of COVID-19.
METHODS: A total of 17 samples collected from December 2009 to January 2011 were analyzed. Reverse transcriptase polymerase chain reaction (PCR) was performed, followed by sequencing technique. Results were analyzed based on sequence information in GenBank. A second genotyping method (AmpliSens(®) HCV-1/2/3-FRT) was done, which differentiates HCV genotypes by means of real-time hybridization-fluorescence detection.
RESULTS: From 17 samples, four were untypeable by AmpliSens(®) HCV-1/2/3-FRT. Eleven of 13 (84.6%) results showed concordant genotypes. A specimen that was determined as genotype 3a by sequencing was genotype 1 by the AmpliSens(®) HCV-1/2/3-FRT. Another specimen that was genotype 1 by sequencing was identified as genotype 3 by AmpliSens(®) HCV-1/2/3-FRT.
CONCLUSION: HCV genotyping with AmpliSens(®) HCV-1/2/3-FRT using real-time PCR method provides a much simpler and more feasible workflow with shorter time compared to sequencing method. There was good concordance compared to sequencing method. However, more evaluation studies would be required to show statistical significance, and to troubleshoot discordant results. AmpliSens(®) HCV-1/2/3-FRT does differentiate between genotype but not until subtype level.
CASE SERIES: We accumulated all malaria cases diagnosed in a tertiary hospital within a period of two years. Three cases were reported, where all of the patients were foreigners with recent travel history to African countries. All of them were infected by P. falciparum, responded to treatment and discharged well.
DISCUSSION: This case series highlighted the importance of acquiring recent travel history during history taking and having a high index of suspicions on malaria when dealing with feverish patients originated particularly from African countries.
METHODOLOGY: Yeast isolates identified through standard culture methods throughout 2014 and 2015 from Hospital Ampang, Malaysia were retrospectively studied. The antifungal susceptibility of Candida species was determined using colorimetric broth microdilution method and MIC values interpreted according to CLSI breakpoints.
RESULTS: Out of all the 149 yeast cultures collected, most were from blood (55.7%) and respiratory specimens (33.6%). Candida tropicalis was the most common (28.9%), followed by C. albicans (26.2%), C. parapsilosis (15.4%), C. glabrata (14.1%), Crytococcus neoformans (6.7%), Trichosporon asahi (3.4%), C. krusei (2.0%), C. famata, C. rugose, C. guilliermondii, C. dublinensis and Trichosporon spp. (0.7% each). Occurrence of C. tropicalis in candidaemia cases was significantly associated to presence of an underlying haematological disorder, while C. albicans isolates in blood were significantly found in absence of such disorders. The four most common Candida species isolated showed high susceptibility to amphotericin B (100%), anidulafungin (100%), micafungin (100%), caspofungin (98.4%), flucytosine (98.4%) and voriconazole (84.1%). However, drug susceptibility to itraconazole and fluconazole was comparatively lower (57.9% and 72.2%, respectively). C. glabrata and C. tropicalis were the least susceptible to these azoles.
CONCLUSION: Prevalence of the high number of non-albicans Candida species with slight predominance of C. tropicalis over C. albicans was observed. Low susceptibility to itraconazole among C. glabrata and C. tropicalis isolates and to fluconazole among C. glabrata isolates warrants for continued surveillance to monitor emerging antifungal resistance.
METHODS: Regression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications.
RESULTS AND DISCUSSION: Outputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables.