[Objective] To establish a method for detecting the potency of recombinant human coagulation factor Ⅶa for injection. [Methods] By adding the sample and factor Ⅶ deficient plasma to the sample cup and activating the reaction with prothrombin time assay reagent (PT reagent), the coagulation time of the sample was determined by the change in magnetic bead swing amplitude in the sample cup. The logarithm of coagulation time was inversely proportional to the logarithm of human factor Ⅶa potency. [Results] Under the experimental conditions, the specificity of the methodology was evaluated through spiked recovery, and the recovery rates ranged from 90.0% to 110.0%. Within the range from 0.125 to 1.000 IU/mL, there was a good linear response between the potency and coagulation time of the standard and sample, with correlation coefficients r>0.99. As for the accuracy and repeatability, the recovery rates of various concentrations detected in the stock solution were 101.0%, 100.0% and 112.0%, respectively, with RSD values of 2.6%, 4.0% and 0.0%, respectively. The recovery rates of various concentrations in finished product testing were 104.0%, 94.7% and 112.0%, respectively, with RSD values of 1.9%, 2.4% and 0.0%, respectively. As for the intermediate precision, the RSD were 4.5% and 3.7%, respectively. After treated with sample diluent, the sample was tested at room temperature for 6 hours and still exhibited relatively stable biological activity. [Conclusion] This detection method is accurate, stable, easy to operate and highly automated, and is suitable for detecting the potency of recombinant human coagulation factor Ⅶa for Injection.

Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To establish a rapid detection method for zika virus based on direct amplification re-al-time fluorescent quantitative reverse transcription polymerase chain reaction(RT-PCR)technique.Methods A direct amplification RT-PCR technique for the rapid detection of zika virus in 5 samples(whole blood,serum,saliva,throat swab and urine)was established by using a special function DNA polymerase and a preferred PCR enhancer.Results The detection limits of the 5 samples were 103 PFU/mL in serum,102 PFU/mL in urine,throat swab,and saliva,and 104 PFU/mL in whole blood.The coefficient of goodness-fit of stand-ard curves was above 0.98,and the amplification efficiency was 90％-110％.Zika virus nucleic acid was suc-cessfully amplified,but non-zika virus nucleic acid was not amplified.Based on the repeatable detection of sam-ples from urine,whole blood,and saliva,the variation coefficient of 6 repeated Ct values at 106 PFU/mL and 102 PFU/mL concentrations were all＜5％.The zika virus detection method established by the direct amplifi-cation RT-PCR technique was consistent with the detection results of conventional RT-PCR technique.Only two serum samples were detected in eight zika virus samples,and the remaining 62 non-zika virus samples and 12 negative samples were not amplified.Conclusion A rapid detection method for zika virus based on direct ampli-fication RT-PCR technique is successfully established.The method is simple,rapid,sensitive and specific.

Objective : To analyze the difference of urinary iodine level in Hashimoto thyroiditis ( HT) patients， and to explore the possible relationship between urinary iodine level and HT under different iodine nutritional sta- tus，so as to provide some references for reasonable iodine intake in HT patients． Methods : A total of 101 hospi- talized HT patients were selected as HT group and divided into 3 groups according to thyroid function : HT group with hyperthyroidism (41 cases) ．There were 25 cases in HT group with normal thyroid function．There were 35 cases in HT combined with hypothyroidism group．In addition，30 healthy subjects were selected as control group. Serum levels of thyroid stimulating hormone(TSH) ，triiodothyronine(T3 ) ，thyroxine (T4 ) ，thyroid peroxidase an- tibody (TPOAb) and thyroglobulin antibody (ATG) were detected by chemiluminescence assay．The size and mor- phological structure of thyroid organs were examined by ultrasonography．Urinary iodine was determined by catalytic spectrophotometry with arsenic and cerium．The nutritional status of iodine was classified into iodine deficiency ( < 100 μg/ L) ，iodine adequacy( 100 －199 μg/ L) ，iodine adequacy (200 －299 μg/ L) and iodine excess ( ≥ 300 μg/ L) ．Non-parametric test was used to compare urinary iodine level between HT group and control group，one- way ANOVA and t test were used to compare urinary iodine level between HT group and control group ，and Spearman correlation analysis was used to compare the correlation between urinary iodine level and T3 ，T4 ，TSH， ATG and TPOAb under different iodine nutrition status. Results : Compared with control group，ATG and TPOAb levels in HT group increased (P＜0. 001) ，and urinary iodine levels increased (P＜0. 05) ，with statistical signifi- cance．Compared with the control group in different thyroid function states，only the HT group with hypothyroidism increased the urinary iodine level (P＜0. 01) ，and the difference was statistically significant．Spearman correlation analysis showed that urine iodine level was positively correlated with ATG and TPOAb levels in iodine excess condi- tion (P＜0. 05) ，and urine iodine level was positively correlated with TSH level in iodine sufficient condition and iodine excess condition in HT patients (P＜0. 05) ． Conclusion The urinary iodine level of HT patients was high- er than that of normal people．When the urinary iodine level of residents is ≥ 300 μg/ L，iodine intake is prone to HT．When the urinary iodine level of HT patients is ≥ 200 μg/ L，iodine consumption is prone to hypothyroidism， and iodine intake should be limited.

Objective To investigate the treatment of female bladder neck obstruction by 1470nm laser transurethral modified enlarged female bladder neck obstruction(FBNO).Methods The clinical data of 34 patients with FBNO from January 2019 to November 2021 were retrospectively analyzed.The patient underwent a 1470nm laser transurethral modified enlarged bladder neck incision.The 1470nm laser was used to vaporise the bladder neck at 12 o'clock(lithotomy),and the incision site was expanded along the bladder neck to 9 o'clock and 3 o'clock to form a semi-circular surgical wound.The patients were followed up for complications,scored form of Bristol female lower urinary tract symptoms questionnaire(BFLUTS-SF)urination symptom subscale,quality of life(QoL)score and the maximum urinary flow rate(Qmax),detrusor pressure at maximum flow rate(PdetQmax),post-void residual(PVR)were reviewed at 1,4,and 10 months after operation.Results After 10 months of follow-up,the subjective indexes of BFLUTS-SF and QoL scores were significantly improved compared with those before operation(P<0.001),and the objective indexes of Qmax,PdetQmax,and PVR were significantly improved compared with those before operation(P<0.001).Two patients had mild urgency urinary incontinence and urinary tract infection symptoms half a month after operation,and the symptoms were improved after anti-infection and pelvic floor rehabilitation treatment.During the follow-up period,there were no complications such as vesicovaginal fistula,stress urinary incontinence,or recurrent bladder neck obstruction.Conclusion 1470nm laser transurethral modified enlarged bladder neck resection can effectively relieve bladder neck obstruction without significant postoperative complications,with high safety and good patient satisfaction.