Objective To discuss the value of CR and CT to diagnose early ankylosing spondylitis. Methods Clinical data and the signs of CR and CT of eighteen cases which were diagnosed as early ankylosing spondylitis were analyzed. Results Both CR and CT imaging could show the diseased region, morphous change, and the extent of diseased joint. CT imaging could show the tiny change of diseased articular facet. Conclusion CR plain is the first choice to diagnose early ankylosing spondylitis. As doubtful case, CR combination with CT scan can raise the accuracy rate of diagnosis to early ankylosing spondylitis.

Objective: To explore the relationship between group high intensity interval training (HIIT) and continuous aerobic exercise with quality of life (QOL), and to provide a reference for scientific and reasonable sports guidance. Methods: Totally 61 college students were enrolled from Shenzhen Institute of Information Technology and randomly divided into group fitness course group (H Group, n=22), single aerobic exercise group (M group, n=19) and control group (C group, n=20). The exercise intervention experiment lasted for 14 weeks. Group H subjects participated in 30 minute group HIIT courses three times a week; group M subjects took 50 minute continuous aerobic exercise three times a week alone; group C subjects did not take regular physical activities. Before and after the experiment, the quality of life of the subjects was evaluated and compared. Results: After the experiment, the quality of life in H group and M group was significantly improved(t=12.12, 6.44, P<0.01). H group was significantly improved (t=11.37, 2.74, 5.48, P<0.01) in physiological, psychological, social and environmental fields; M group was significantly improved (t=7.05, 7.13, 2.35, P<0.05) in physiological, psychological and environmental fields. H group was significantly higher than M group (t=3.43, 3.46, 2.51, P<0.01) in the physiological, psychological and social relations fields. In contrast, there was no significant change before and after the control group. Conclusion Group high intensity interval training and continuous aerobic exercise can improve quality of life of college students, and group HIIT is more effective in enhancing physical, psychological, and social quality of life.

Objective TostudythevalueofDCE-MRItechniqueindifferentialdiagnosisofthyroidadenoma(TA)andpapillary thyroidcarcinoma(PTC).Methods 71thyroidnoduleswereanalyzedretrospectively,includingTA (28cases)andPTC (43cases), whichwereconfirmedbyhistologyafterMRIscanning.AfterconventionalMRIandDCE-MRIwereperformed,TICswereobtained. ThediagnosticindicatorsofPTCwithDCE-MRItechniquewereanalyzed,includingthesensitivity,specificity,accuracy,positivepredictive valueandnegativepredictivevalue.Results 23TAshowedⅠcurve,41PTCshowedⅢcurve,5TAand2PTCshowedⅡcurve, withstatisticallysignificantdifference(P＝0.000).Thesensitivity,specificity,accuracy,positivepredictivevalueandnegativepredictive valuewere95.3%,82.1%,90.1%,89.1%and92.0%,respectively.Conclusion DCE-MRItechniquehelpstoidentifyTAandPTC, andTICcanbeamorecomprehensivemethodtoanalyzemicrovascularhemodynamicprocessesofTAandPTC.

OBJECTIVETo detect potential mutation of the UGT1A1 gene in a child affected with Crigler-Najjar syndrome type II.

METHODSBlood samples were collected from the patient and his parents for the extraction of genomic DNA. Potential mutation of the UGT1A1 gene was detected with polymerase chain reaction (PCR) and direct sequencing. The child was followed up until the age of 3 years and 6 months.

RESULTSThe patient showed persistent unconjugated hyperbilirubinemia. Sequencing of the UGT1A1 gene has detected a rare heterozygous c.610 A>G (p.Met204Val) mutation in the exon 1, in addition with a heterozygous c.1091 C>T (p.Pro364Leu) mutation in exon 4. The two mutations were inherited from his father and mother, respectively. The patient was diagnosed with Crigler-Najjar syndrome type II and received oral phenobarbital treatment.

CONCLUSIONThe compound UGT1A1 gene mutation probably accounts for the disease in the patient manifesting persistent mild unconjugated hyperbilirubinemia. Genetic counseling and prenatal diagnosis should be provided for his family.

Objective To evaluate the application of exponential apparent diffusion coefficient (eADC)value in differentiating benign from malignant thyroid nodules.Methods Routine MR sequences and axial diffusion weighted imaging (DWI)sequences with different b-values(0, 300,500,800 s/mm2)were performed in 46 patients with 51 histopathologically confirmed thyroid nodules,including 35 malignant nodules and 1 6 benign nodules.The eADC values of each thyroid nodules’solid component with different b-values were measured and assessed by independent samples t test.Receiver operating characteristic (ROC)curves were drawn and used to determine the diagnostic threshold and assess the screen test.Results The eADC values of the malignant nodules were higher than that of benign nodules (P<0.05)in all of the three different b-values.The eADC values of the malignant nodules and the benign nodules were 0.618±0.080 and 0.492±0.071 (b=300 s/mm2),0.520±0.104 and 0.371±0.077 (b=500 s/mm2)and 0.407±0.114 and 0.286±0.097 (b=800 s/mm2)respectively. According to the ROC curve,the area under the curve(AUC)was 0.883,0.890 and 0.824 when the b-value was set as 300,500 and 800 s/mm2respectively.When the b-value was set as 500 s/mm2and the diagnostic threshold was 0.454,the sensitivity,specificity, positive predictive value,negative predictive value and Youden index were 74.3%,93.8%,96.3%,60.9% and 0.68,respectively.Conclusion The eADC value is helpful in differentiating benign from malignant thyroid nodules,and the best result can be obtained by using DWI with b-value of 500 s/mm2.

BACKGROUND:Unexplained infertility is associated with a higher abortion rate and lower fertilization rate,implantation rate,clinical pregnancy rate and cumulative live birth rate.It is urgent to establish a clinical prediction model related to infertility of unknown cause to solve the problems of clinical prognosis and individualized medical services,and finally achieve the purpose of increasing the cumulative live birth rate of patients with infertility of unknown cause. OBJECTIVE:To construct and verify the prediction model of high-quality blastocyst formation in patients with unexplained infertility during in vitro fertilization. METHODS:A total of 419 patients with unknown infertility who underwent in vitro fertilization in the Assisted Reproduction Department of Changzhou Maternal and Child Health Care Hospital from March 2017 to June 2022 were retrospectively analyzed,including 317 patients with high-quality blastocysts and 102 patients without high-quality blastocysts.A prediction model was established and used as the model group.The model group was sampled 1 000 times by the Bootstrap method as the validation group.Firstly,the univariate analysis was used to screen the influencing factors of high-quality blastocyst formation of unknown infertility,and the best matching factors were selected by the least absolute shrinkage and selection operator(LASSO)algorithm.Multiple factors were included in the progressive Logistic regression to find out the independent influencing factors and draw a column graph.Finally,the subject working curve,calibration curve,clinical decision curve and clinical impact curve were used to verify the differentiation and accuracy of the prediction model as well as the clinical application efficiency. RESULTS AND CONCLUSION:(1)Univariate analysis of the factors influencing the formation of high-quality blastocyst of unknown infertility were age,insemination method,antimullerian hormone level,basal follicle-stimulating hormone level,basal luteinizing hormone level,human chorionic gonadotropin injection day follicle-stimulating hormone level,human chorionic gonadotropin day estradiol level,progesterone level on human chorionic gonadotropin day,the number of high-quality cleavage embryo(day 3)and the number of blastocyst formation(P<0.05).(2)The best matching factors further screened by LASSO regression were age,insemination method,antimullerian hormone level,basal luteinizing hormone level,human chorionic gonadotropin injection day follicle-stimulating hormone level,human chorionic gonadotropin day estradiol level,the number of high-quality cleavage embryo(day 3)and the number of blastocyst formation(P<0.05).Multifactor stepwise Logistic regression results showed that independent influencing factors on the formation of high-quality blastocysts for unexplained infertility were age,insemination method,antimullerian hormone level,the number of high-quality cleavage embryo(day 3),and the number of blastocyst formation.(3)Receiver operating characteristic curve exhibited that the area under the curve was 0.880(0.834,0.926)in the model group and 0.889(0.859,0.918)in the validation group.It showed that the prediction model had good differentiation.The average absolute error of the calibration curve was 0.036,indicating that the model had good accuracy.The Hosmer-Lemeshow test showed that there was no statistical difference between the prediction probability of blastocyst formation and the actual probability of blastocyst formation(P>0.05).The clinical decision curve and clinical impact curve showed that the model group and the validation group had the maximum clinical net benefit when the threshold probability value was(0.16-0.96)and(0.08-0.93),respectively,and had better clinical application efficacy within the threshold probability range.These findings concluded that age,insemination method,antimullerian hormone,the number of high-quality cleavage embryos(day 3),and the number of blastocyst formation were independent factors influencing the formation of the fine blastocyst in patients with unexplained infertility.The clinical prediction model constructed by these factors has good clinical prediction value and clinical application efficiency and can provide a basis for clinical prognosis and intervention as well as the formulation of individual medical programs.

Objective To investigate the correlation between neutrophil-lymphocyte ratio (NLR) and disease activity of systemic lupus erythematosus (SLE),and the changes of NLR in different organ involvement of SLE patients.Methods A total of 155 SLE patients and 135 healthy controls from the Rheumatology Department of Xiangya Hospital were enrolled in this study from 2010 to 2018.Patients with SLE were divided into lupus nephritis group (LN group) and non-lupus nephritis group (non-LN group),serositis group and non-serositis group,according to whether they had kidney involvement or serositis.According to the SLE disease activity index 2000(SLEDAI-2000),the patients were divided into mild to moderate disease activity group (SLEDAI score ＜ 15) and severe disease activity group (SLEDAI score≥ 15).The NLR values of the above groups were compared.Spearman's correlation analysis was used to analyze the correlation between NLR and SLE patients' laboratory indexes.Multiple linear regression model was used to analyze the relationship between NLR and SLE disease activity.Receiver operating characteristic curve (ROC) was used to evaluate the value of NLR in SLE diagnosis and activity assessment.Results (1)The NLR value of SLE patients was significantly higher than that of healthy control group,and the difference was statistically significant (P ＜ 0.01).(2)The NLR value of SLE patients in the LN group was higher than that in the non-LN group,and the NLR value of SLE patients with serositis was higher than that in the group without serositis,with statistically significant differences (both P ＜ 0.05).(3)The NLR value of SLE patients in the severe disease activity group was higher than that in the mild and moderate disease activity group,and the difference was statistically significant (P ＜ 0.01).(4)NLR of SLE patients was positively correlated with CRP (rs=0.188,P=0.019),SLEDAI score (rs=0.264,P=0.001),and negatively correlated with total serum protein (rs=-0.250,P=0.002) and serum albumin (rs=-0.329,P ＜ 0.001),respectively.(5) Multiple linear regression showed that NLR was independently associated with SLE disease activity (B=0.351,95％CI 0.012-0.690,t=2.047,P=0.042).(6) According to ROC curve,the optimal cut-off value of NLR for SLE diagnosis was 2.17 (sensitivity 60.0％,specificity 83.1％,AUC=0.744),and the best cut-off value for predicting the activity of severe disease activity in SLE patients was 3.28 (sensitivity 58.5％,specificity 78.1％,AUC=0.700).Conclusion NLR is closely related to renal involvement,serositis and disease activity in SLE patients,which indicates that NLR,as a new inflammatory indicator,is of great significance for the assessment of SLE disease activity and organ involvement.

BACKGROUND:There is a significant correlation between sperm DNA fragmentation index and fertilization,embryonic development potential,embryo implantation,miscarriage,and offspring safety.However,its clinical reference value is affected by many factors,resulting in extremely limited clinical significance.This study took live birth as the outcome,corrected other confounding factors through propensity score matching,constructed the best clinical cutoff value of sperm DNA fragmentation index and live birth,and conducted internal and external tests on it,which has good predictive value and clinical application efficiency. OBJECTIVE:To investigate the reference threshold and offspring short-term security of in vitro fertilization-embryo transfer sperm DNA fragmentation index based on live birth. METHODS:A total of 1 921 patients who received in vitro fertilization and embryo transfer in Changzhou Maternal and Child Health Area Hospital from May 2019 to May 2021 were selected.On the basis of tendency matching tolerance of 0.02 and propensity score matching of 1:1,540 cases were successfully matched in each live birth group and non-live birth group,and the model group was established.135 patients who received in vitro fertilization and embryo transfer in Nanxishan Hospital of Guangxi Zhuang Autonomous Region were selected as the external validation group.The optimal clinical cutoff value of sperm DNA fragmentation index for live birth was investigated by the receiver operating characteristic curve.The accuracy and clinical application efficacy of the cutoff value were evaluated by restricted cubic spline curve,standard curve,clinical decision curve,clinical impact curve and internal and external validation tests. RESULTS AND CONCLUSION:(1)The DNA fragmentation index of sperm in the non-live birth group was significantly higher than that in the live birth group and had a significant negative correlation with live birth(r=-0.444,P<0.001).(2)Receiver operating characteristic curve results showed that the optimal cut-off value of DNA fragmentation index for live birth was 24.33%;the area under the curve was 0.775(0.746,0.804);the specificity was 72.60%;the sensitivity was 78.90%,and the accuracy was 75.70%.(3)Restricted cubic spline curve fitting the results of Logistic regression showed that when the sperm DNA fragmentation index was greater than 24.57%,the risk of clinical non-live birth increased.(4)The probability of Logistic regression analysis results showed that sperm DNA fragmentation index was a risk factor for live birth[OR(95%CI)=0.916(0.904,0.928),P<0.001],and when sperm DNA fragmentation index was greater than 27.78%,the probability of clinical live birth would be less than 50%.With the increase of sperm DNA fragmentation index by 1 unit,the probability of a live birth fell by 8.4%.(5)Internal and external to the validation of the clinical cutoff value showed that the cutoff point had certain clinical predictive value and accuracy.(6)Clinical decision curve and clinical impact curve results exhibited that the prediction model based on the clinical cut-off value had the maximum clinical net benefit value when the threshold probability was 0.22-0.73,and the ratio of loss to gain within the threshold probability range was always less than 1,which confirmed that the prediction model had good clinical application effectiveness.(7)The results of sperm DNA fragmentation index and offspring short-term security analysis showed that sperm DNA fragmentation index had no significant differences with preterm birth,body weight,deformity and sex.(8)These findings suggest that the optimal clinical cut-off value of sperm DNA fragmentation index for in vitro fertilization-embryo transfer live birth was 24.33%.The established clinical prediction model has good differentiation,accuracy and clinical application effectiveness.Sperm DNA fragmentation index has no significant impact on offspring short-term security,but large samples and long-term follow-up evaluation are still needed.

In December 2022,ESCMID/EUCIC jointly issued the Clinical Practice Guidelines for perioperative antimi-crobial prophylaxis in patients colonized with multidrug-resistant Gram-negative bacteria(MDR-GNB).The guideline was based on systematically evaluating of published studies on perioperative antimicrobial prophylaxis in patients colonized with MDR-GNB.The guideline elaborated on the necessity and timing of screening for MDR-GNB colonization,perioperative antimicrobial prophy-laxis selection,and the timing of dosing,and it provided evidence-based recommendations based on existing studies.This paper in-terpreted the guidelines based on the latest research progress at home and abroad,aiming to reduce the occurrence of surgical site infections in patients colonized with MDR-GNB and benefit patients.

Objective:To investigate the value of CT radiomic model based on analysis of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer in differentiating stage T1-2 from stage T3-4 gastric cancer.Methods:This study was a case-control study. Totally 465 patients with gastric cancer treated in Affiliated People′s Hospital of Jiangsu University from December 2011 to December 2019 were retrospectively collected. According to postoperative pathology, they were divided into 2 groups, one with 150 cases of T1-2 tumors and another with 315 cases of T3-4 tumors. The cases were divided into a training set (326 cases) and a test set (139 cases) by stratified sampling method at 7∶3. There were 104 cases of T1-2 stage and 222 cases of T3-4 stage in the training set, 46 cases of T1-2 stage and 93 cases of T3-4 stage in the test set. The axial CT images in the venous phase during one week before surgery were selected to delineate the region of interest (ROI) at the primary lesion and the extramural gastric adipose tissue adjacent to the cancer areas. The radiomic features of the ROIs were extracted by Pyradiomics software. The least absolute shrinkage and selection operator was used to screen features related to T stage to establish the radiomic models of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer. Independent sample t test or χ2 test were used to compare the differences in clinical features between T1-2 and T3-4 patients in the training set, and the features with statistical significance were combined to establish a clinical model. Two radiomic signatures and clinical features were combined to construct a clinical-radiomics model and generate a nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of each model in differentiating stage T1-2 from stage T3-4 gastric cancer. The calibration curve was used to evaluate the consistency between the T stage predicted by the nomogram and the actual T stage of gastric cancer. And the decision curve analysis was used to evaluate the clinical net benefit of treatment guided by the nomogram and by the clinical model. Results:There were significant differences in CT-T stage and CT-N stage between T1-2 and T3-4 patients in the training set ( χ2=10.59, 15.92, P=0.014, 0.001) and the clinical model was established. After screening and dimensionality reduction, the 5 features from primary gastric cancer and the 6 features from the adipose tissue outside the gastric wall beside cancer established the radiomic models respectively. In the training set and the test set, the AUC values of the primary gastric cancer radiomic model were 0.864 (95% CI 0.820-0.908) and 0.836 (95% CI 0.762-0.910), and the adipose tissue outside the gastric wall beside cancer radiomic model were 0.782 (95% CI 0.731-0.833) and 0.784 (95% CI 0.702-0.866). The AUC values of the clinical model were 0.761 (95% CI 0.705-0.817) and 0.758 (95% CI 0.671-0.845), and the nomogram were 0.876 (95% CI 0.835-0.917) and 0.851 (95% CI 0.781-0.921). The calibration curve reflected that there was a high consistency between the T stage predicted by the nomogram and the actual T stage in the training set ( χ2=1.70, P=0.989). And the decision curve showed that at the risk threshold 0.01-0.74, a higher clinical net benefit could be obtained by using a nomogram to guide treatment. Conclusions:The CT radiomics features of primary gastric cancer lesions and the adipose tissue outside the gastric wall beside cancer can effectively distinguish T1-2 from T3-4 gastric cancer, and the combination of CT radiomic features and clinical features can further improve the prediction accuracy.