ABSTRACT
Objective:To investigate the predictive value of different body obesity measures for non-alcoholic fatty liver disease (NAFLD).Methods:It was a cross-sectional study. The present study was a case-control study involving 553 subjects who underwent physical examination from January to April 2022. The subjects were divided into NAFLD group ( n=321 cases) and control group ( n=232 cases) according to abdominal ultrasound imaging parameters. All subjects completed a general information questionnaire, liver ultrasound examination, serum biochemical indices and physical measurements. Logistic regression model was used to analyze the correlation between human obesity measures (neck circumference, triceps skinfold thickness (TSF),body mass index (BMI), waist-to-hip ratio, lipid accumulation index (LAP), visceral fat index (VAI), body roundness index (BRI) and a body shape index (ABSI)) and NAFLD. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive value of single and combined measures of obesity for NAFLD. Results:The subjects were stratified by gender, and the quartile levels of BMI, neck circumference, TSF, waist-to-hip ratio, LAP, VAI and BRI were all correlated with NAFLD in both male and female (all P<0.05). After further adjustment for confounding factors, compared with those in group Q 1, group Q 4 of the above-mentioned indexes still had higher odds ratios ( P<0.05). The AUC value of LAP in predicting NAFLD was the largest in both men and women, which was 0.836(0.788-0.876) and 0.885(0.839-0.921), and the cut-off value was 41.93 and 33.27, respectively. There was no significant difference in AUC of ROC predicting NAFLD among LAP, BRI and BMI ( P>0.05). The AUC of ABSI in predicting NAFLD was less than 0.7(namely 0.584(0.525-0.641) and 0.679(0.618-0.735) in men and women, respectively), which indicated poor predictive performance for NAFLD. In the pairwise combination index, the AUC of ROC predicting NAFLD with TSF+LAP in male was the largest, which was 0.864(0.819-0.901), and there was statistical significance when compared with BRI (AUC=0.818(0.769-0.860)) and BMI (AUC=0.816(0.767-0.858)) ( P<0.05), but there was no statistical significance when compared with LAP (AUC=0.836(0.788-0.876)) ( P>0.05). The AUC of ROC predicting NAFLD with VAI+LAP in women was the largest, it was 0.894(0.849-0.928), there was statistical significance when compared with BMI (AUC=0.849(0.799-0.890)) ( P<0.05), but there was no statistical significance when compared with LAP (AUC=0.885(0.839-0.921)) and BRI (AUC=0.870(0.822-0.908)) ( P>0.05). Conclusion:BMI, neck circumference, TSF, waist-to-hip ratio, LAP, VAI and BRI all have good predictive value for NAFLD.
ABSTRACT
We have adopted various smart tools and applied multiple teaching models to smoothly carry out our on-line teaching. Aiming at encouraging students' self-learning and independent thinking, the first task is to cultivate students' self-learning ability and independent thinking way of clinical microbiology. Our online teaching model is based on the asynchronous small private online course (SPOC) of the Chinese University MOOC, the core part of our teaching model, and supplemented by the Sojump questionnaire test and WeChat, the inter-action channels among teachers and students. All of these build up an integrated teaching system which fully embodies the "student-oriented" teaching concept and pushes forward the promotion and application of online teaching in college specialized courses.
ABSTRACT
Objective To evaluate the analysis capability of urine protein qualitative test between AX-4030 and Cobas U411 u-rine dry chemistry analyzer,and study on evaluating the performance of qualitative test.Methods According to Clinical and Laboratory Standards Institute(CLSI)EP12-A2 document,analyzed the bias and imprecision of urineprotein qualitative test between the Aution MAX AX-4030 and Roche CobasU411 system.Their C50 ,C5 ~C95 intervals and imprecision curves were compared.The protein of 310 specimens were simultaneously determined by both Cobas U411 and AX-4030,in order to eval-uate their concordance.Results C50 for AX-4030 system was less than that for Cobas U411;C5 ~C95 interval of AX-4030 system was narrower than CobasU411.The imprecision curve of AX-4030 system was steeper than Cobas U411.The com-parison of the two analysis systems showed that the concordance was 96.8%,the positive concordance was 82.7%,and the negative concordance was 99.6%.The 95% credibility interval (CI)was 94.2%~98.16% and the Kappa value was 0.88. Conclusion For the sensitivity and imprecision of urine protein test in the C50 critical value,the AX-4030 system was better than Cobas U411.The concordance of them in determining clinical specimens was pole-strength.The evaluation recommen-ded by the EP12-A2 document is practical and effective.
ABSTRACT
Objective To indentify Streptobacillus moniliformis isolated from the knee joint pus by 16S rRNA gene sequencing and biochemical reactions and explore the clinical value of the method. Methods The bacterial 16S rRNA gene sequence-based identification, bacterial morphology, VITEK 2 automate systems, API 20NE strips, API 20E strips and API 50CH were performed to identify the rare bacteria. Results The bacteria grew slow on blood agar and chocolate agar and were inhibited on Maconkey agar. The bacterial colony on blood agar tookes the form of 1~2 mmomelette, which was translucent and moist with circular protrusion and smooth edges. They were Gram-staining negative and in catenation, its thalli 1~3μm, round, oval or fusiform. Vitek 2 GN-13, API 20NE and API 20E were unable to reach the identification of the bacteria. 16S rRNA gene sequencing showed the bacteria were similar to streptobacillus moniliformis by 100%. Conclusion The rare bacteria isolated from left knee joint are streptobacillus moniliformis. 16S rRNA gene sequences combined with the biochemical reactions is accurate in the identification of these bacteria.