Khanmccann5058

52% to 97.90%. The proportion of laboratories exhibiting satisfactory performance was higher in round 2 than in round 1 for serum marker testing results and DS risk values. The robust CV for risk values for each sample were significantly higher than those of serum markers. Three EQA result failure types were found, including result reporting errors, serum marker concentration testing errors, and DS risk calculation errors.

The analytical performance of maternal serum prenatal screening for DS in the first trimester in China can be improved further.

The analytical performance of maternal serum prenatal screening for DS in the first trimester in China can be improved further.

Benign prostatic hyperplasia is an important risk factor for urinary tract infections. In this study, the causative agents of urinary tract infections were isolated from urine samples of benign prostatic hyperplasia patients aged 65 and older. Bacteremia risk and the patterns of antibiotic resistance were investigated to guide clinicians in empirical antibiotic treatment.

Between 2015 and 2019, cultures of bacteria and yeast were made from urine samples from 655 patients with benign prostatic hyperplasia. The patients were divided into three groups based on age 65 - 74, 75 - 84, and ≥ 85. The identification and antibiotic susceptibility tests of microorganisms were performed using the BD Phoenix (Becton Dickinson, USA) and the VITEK®2 Compact (bioMérieux, France) automated systems, as well as traditional methods.

Microbial growth was detected in 24% of the patients. No significant differences were found concerning age (p = 0.15). The most commonly isolated microorganism was Escherichia coli (47.8%), folould be considered in these patients.

High resistance rates to some antibiotics frequently used in empirical antibiotic treatment of urinary tract infections have reached alarming levels in elderly male patients with benign prostatic hyperplasia. Therefore, identifying resistance patterns is important to contribute to rational antibiotic use policies. In addition, the risk of Candida-related urinary tract infections and bacteremia should be considered in these patients.

The pathogens involved in central nervous system (CNS) infections are various, such as viruses, bacteria, and fungi, so a syndromic approach can be required. In addition, since their rapid and accurate detection is very crucial, molecular diagnostics using cerebrospinal fluid is becoming the emerging standard method.

The study was conducted retrospectively to identify the incidence and distribution patterns of the pathogens according to gender, age, season, and month and to analyze their codetection from August 2017 to July 2020. It was also conducted to investigate turn-around times (TATs) according to the detection method. The detection methods were FilmArray® Meningitis/Encephalitis (M/E) method (FilmArray), Cepheid® Xpert EV assay (Xpert), and Multiplex PCR method for five species of bacteria.

The overall incidence for at least one pathogen was 13.9% (346/2,496). The highest incidence was shown in age group 4 (3 - 6 years), with 27.4%. The detection rates by FilmArray, Xpert, and Multiplex PCR methoection are critically important to clinicians in the management of immunocompromised patients, elderly, and children. The expeditious molecular diagnostics for these pathogens would be valuable in medical decisions by clinicians.

The information on the incidence and distribution patterns of the pathogens causing CNS infections and their rapid detection are critically important to clinicians in the management of immunocompromised patients, elderly, and children. The expeditious molecular diagnostics for these pathogens would be valuable in medical decisions by clinicians.

To explore the application of SF-Cube 2.0 technology in platelet count in patients with EDTA-dependent pseudothrombocytopenia (EDTA-PTCP).

Twenty-two out-patients and in-patients with EDTA-PTCP in our hospital were selected from February 1, 2020, to August 31, 2020. With the permission of each patient, blood samples of EDTA and sodium citrate anticoagulant tubes were collected. EDTA anticoagulant samples were tested by using the "complete blood cell count and white blood cell differential count"(CD) mode, and "complete blood cell count, white blood cell differential count, and reticulocyte count" (CDR) mode of the Mindray BC-6800Plus automated hematology analyzer, and the platelet counts were compared with the sample of sodium citrate anticoagulant from this patient.

As SF-Cube 2.0 technology (implemented by using the CDR mode of the Mindray BC-6800Plus) was used, the platelet count of EDTA-PTCP sample was consistent with that of sodium citrate anticoagulant, which was significantly higher than that of CD detection mode.

SF-Cube 2.0 technology can effectively correct the platelet counts in people with known or suspected EDTA-PTCP.

SF-Cube 2.0 technology can effectively correct the platelet counts in people with known or suspected EDTA-PTCP.

The allele frequency of 4 SNPs was evaluated in patients with type 2 diabetes mellitus (T2DM) and compared with healthy controls who had records in Tohid Hospital of Sanandaj.

This case-control study was performed on 100 T2DM patients and 100 healthy controls with matched gender and age. After DNA extraction, allele frequency of 4 variant genotypes was evaluated using Tetra-Arms technique. Then, logistic regression analysis was used to calculate the odds ratio. Data analysis was done using SPSS 20 software and the level of significance was less than 0.05.

There were no significant relationships between CASQ1 rs2275703A/C and CTLA4 rs231775A/G polymorphisms and T2DM mellitus in the studied population. Also, CC and CT genotypes of the TCF7L2 rs7903146 C/T polymorphism confirmed a T2DM risk factor in the studied population. Smad inhibition At the ATF6 rs2070150 C/G polymorphisms, the frequency of GC allele was higher in the control group than in the patient group, and these differences were also statistically significant at the level of alleles in the experimental and control groups.

The CC and CT genotype of TCF7L2 rs7903146 polymorphism and GC genotype of ATF6 rs207015 were the risk factor for T2DM in this population.

The CC and CT genotype of TCF7L2 rs7903146 polymorphism and GC genotype of ATF6 rs207015 were the risk factor for T2DM in this population.