Objective Analysis of clinical distribution and susceptibility to antimicrobial agents in producing extended spectrumβ-lactamases (ESBLs)of Escherichia coli(ECO)and Klebsiella pneumoniae (KPN).Methods The samples from 2013 April to 2014 December in Changji Prefecture People′s Hospital were cultured and identified,drug sensitivity test did by VITEK2compat au-tomatic bacteria analysis,phenotypic confirmatory test was did on producing ESBLs ECO and KPN,and the clinical distribution and drug resistance was analyzed.Results 1 576 strains of ECO and KPN isolated 306 strains of producing ESBLs strains and 343 strains of multi drug resistant bacteria,the isolation rates were 1 9.4% and 21.8% respectively.In 576 strains of ECO,there were 1 77 strains of producing ESBLs strains and 202 strains of multi drug resistant bacteria were isolated,the separation rates were 30.7% and 35.1% respectively,generic drug resistant strains were not found,and those producing ESBLs strains were isolated mainly from the urine specimens (39.5%),and mainly from the ICU (37.3%)and (29.9%)the surgical ward.There were 129 strains of producing ESBLs strains,141 strains of multi drug resistant bacteria and 4 generic drug resistant strains were isolated from 1 000 strains of KPN,the separation rates were 12.9%,14.1% and 0.4% respectively,and those producing ESBLs strains were isolated mainly from sputum specimens (83.7%),and mainly from the ICU (42.6%)and(29.5%)in the department of inter-nal medicine.Isolation of producing ESBLs ECO and multi drug resistant bacteria were higher than KPN,the difference were statis-tically significant (P <0.05).The sensitivities of ECO and KPN ESBLs strains to carbapenems imipenem andaminoglycosides ami-kacin and compound preparation piperacillin/tazobactam were good,the other antimicrobial drug resistance rates were more than 50.0%.Conclusion ESBLs ECO mainly causes urinary tract infections,KPN mainly causes respiratory tract infection.Detection rates of producing ESBLs ECO and KPN were high,and the multi drug resistance is serious,should strengthen the monitoring of drug resistance on producing ESBLs strains,and according to the results of drug susceptibility,standardize the rational use of anti-microbial agents,and to strengthen the management of antimicrobial agents,delay the occurrence of bacterial resistance.

In order to find the most suitable algorithm of T-wave end point detection for clinical detection, we tested three methods, which are not just dependent on the threshold value of T-wave end point detection, i. e. wavelet method, cumulative point area method and trapezium area method, in PhysioNet QT database (20 records with 3 569 beats each). We analyzed and compared their detection performance. First, we used the wavelet method to locate the QRS complex and T-wave. Then we divided the T-wave into four morphologies, and we used the three algorithms mentioned above to detect T-wave end point. Finally, we proposed an adaptive selection T-wave end point detection algorithm based on T-wave morphology and tested it with experiments. The results showed that this adaptive selection method had better detection performance than that of the single T-wave end point detection algorithm. The sensitivity, positive predictive value and the average time errors were 98.93%, 99.11% and (--2.33 ± 19.70) ms, respectively. Consequently, it can be concluded that the adaptive selection algorithm based on T-wave morphology improves the efficiency of T-wave end point detection.
Algorithms ; Electrocardiography ; Humans ; Wavelet Analysis

Objective:To establish a method for determination of iodine in salt by arsenic-cerium catalytic spectrophotometry.Methods:The content of iodine in salt was detected by arsenic-cerium catalytic spectrophotometry with an automatic iodine analyzer. The standard curve linearity, detection limit, precision and accuracy of the method were evaluated. The iodine content of 20 edible salt samples was detected by the newly established method and direct titration, and the results were compared.Results:In the range of 0 - 150 μg/L standard curve, the correlation coefficient ( r) = - 0.999 9, and the detection limit was 1.4 mg/kg. The average iodine contents of iodine composition analysis standard materials GBW10006z and GBW10007z were 12.2 and 22.8 mg/kg ( n = 6), respectively, which were all within the given standard value ranges, and the relative standard deviations ( RSD) were 2.04% and 2.33%, respectively. Iodine composition analysis standard materials GBW10006b, GBW10007b, GBW10006v, GBW10007v, GBW10006z and GBW10007z measurement results (12.0, 24.6, 12.6, 22.8, 12.3, 23.2 mg/kg, n = 2) were all within the given standard value ranges, with good quality control. The iodine content of 20 edible salt samples was detected by arsenic-cerium catalytic spectrophotometry and direct titration, respectively, and the difference was not statistically significant ( t = 1.99, P = 0.060). Conclusion:Arsenic-cerium catalytic spectrophotometry has the characteristics of good linear relationship, low detection limit, good precision and high accuracy in determination of salt iodine content, which is suitable for popularization and application.

Objective:To investigate the effect of ultra-low dose (ULD) computed tomography (CT) scanning on the diagnosis of ankle fractures and the quality of a three-dimensional printing (3DP) model.Methods:This study was a prospective study. A total of 61 patients with clinical ankle fractures treated conservatively in Zhuhai Hospital of Guangdong Hospital of Traditional Chinese Medicine from November 2019 to January 2022 were included in this study. Patients underwent standard dose (SD) CT scan and ultra-low dose (ULD) CT scan, respectively. The tube voltage/tube current of SD and ULD were 120 kV/100 mAs and 80 kV/10 mAs, respectively. Two senior radiologists evaluated the presence of ankle fractures. The effective radiation dose ( E), noise, signal-to-noise ratio (SNR), contrast signal-to-noise ratio (CNR), and CT value of bone cortex minus CT value of peripheral fat (CTc) were compared. The radiologists also evaluated the discoverability, diagnosability, and overall image quality of the fracture line according to Likert′s 5-point scoring method. Two senior orthopedists subjectively evaluated the quality of each 3DP model (model clarity and operation guidance). A score ≥ 3 indicated that the quality of the CT diagnostic image and 3DP model were acceptable. Results:The interval between the two CT scans was (9.23 ± 1.92) d. A total of 94 fracture sites were found. There were no missed diagnosis or misdiagnosis based on the SD and ULD scans.Noise, SNR, and CNR were better on the SD CT scanning ( F=5.92, 9.70, 8.32, P=0.00), however, CTc was higher on the ULD scans ( F=27.55, P<0.01). The image scores of the SD and ULD scans were (4.97 ± 0.18) and (4.21 ± 0.71), and the quality scores of the 3DP model (4.99 ± 0.01) and (4.87 ± 0.34), respectively. The SD scans were better than the ULD scans with respect to CT image quality and 3DP model quality ( Z=-6.88, -2.91, P<0.01), but both were considered suitable to meet clinical needs (all ≥ 3 points). The E associated with SD and ULD scannings were (34.68 ± 4.96) μSV and (1.04 ± 0.10) μSV, respectively. The latter was thus significantly better than the former ( F=38.77, P =0.00). Conclusions:The E value of ULD scanning is about 3.00% of SD scanning E, which can meet the needs of clinical diagnosis of ankle fracture and 3DP model printing diagnosis.