Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective:To analyze the duration of the second stage of labor without epidural anesthesia and its association with pregnancy outcome.Methods:This retrospective study involved 12 789 women who delivered without epidural anesthesia in the First Affiliated Hospital of Kunming Medical University from January 1, 2014 to December 31, 2017. These subjects were divided into primipara group (9 517 cases) and multipara group (3 272 cases). Demographic characteristics, maternal and neonatal outcomes and the duration of the second stage of labor were compared between the two groups using two independent samples t-test, Mann-Whitney U test and Chi-square test (Fisher's exact test). Differences in the maternal and neonatal outcomes were also analyzed among different subgroups in primiparae [length of second stage: <1 h group ( n=6 265), ≥1-2 h group ( n=2 305), ≥2-3 h group ( n=831) and ≥3 h group ( n=116)] and multiparae [length of second stage <1 h group ( n=3 144), ≥1-2 h group ( n=102) and ≥2 h group ( n=26)]. The association between second stage length and pregnancy outcomes was analyzed with Cramer's V. After adjusted for maternal age, gestational weeks at delivery, body mass index before pregnancy, complications during pregnancy and neonatal birth weight, the relationship between the duration of the second stage and adverse outcomes was analyzed by binary logistic regression analysis. Results:The 95 th percentile of the second-stage labor duration was 143 min for primiparae and 52 min for multiparae. The rates of vaginal delivery, forceps delivery, cesarean section in the second stage, episiotomy, third- or fourth-degree perineal laceration, postpartum hemorrhage, grade Ⅱ postpartum hemorrhage, transfusion, umbilical arterial blood gas pH<7.15 and transferring to neonatal intensive care unit (NICU) were all correlated with the duration of second stage in primiparae (Cramer's V values: 0.22, 0.23, 0.03, 0.22, 0.05, 0.10, 0.03, 0.03, 0.03 and 0.07, respectively, all P<0.05), and so did those of vaginal delivery, forceps delivery, episiotomy, postpartum hemorrhage, grade Ⅱ postpartum hemorrhage, transfusion and transferring to NICU in multiparae (Cramer's V values: 0.18, 0.19, 0.28, 0.14, 0.09, 0.13 and 0.06, respectively, all P<0.05). Logistic analysis showed that in primiparae, the duration of second stage >1 h was an independent risk factor for episiotomy, third- or fourth-degree perineum laceration, forceps delivery, postpartum hemorrhage, admission to NICU and umbilical arterial blood gas pH<7.15 [adjusted OR (95% CI): 2.080 (1.907-2.268), 1.773 (1.080-2.911), 1.625 (1.420-1.859), 1.365 (1.231- 1.514), 1.305 (1.165-1.462) and 1.246 (1.081-1.436), respectively], while second stage length >2 h was the independent risk factor for episiotomy, forceps delivery, third- or fourth-degree perineum laceration, postpartum hemorrhage, grade Ⅱ postpartum hemorrhage, blood transfusion, admission to NICU and umbilical arterial blood gas pH<7.15 [adjusted OR (95% CI): 4.844 (4.132-5.678), 4.223 (3.571-4.993), 3.289 (1.806-5.989), 1.952 (1.675-2.274), 1.781 (1.057-3.001), 1.654 (1.025-2.668), 1.682 (1.421-1.991) and 1.298 (1.039-1.620), respectively]. In multiparae, the length of second stage >1 h was an independent risk factor for episiotomy, blood transfusion, forceps delivery, postpartum hemorrhage and admission to NICU [adjusted OR (95% CI): 8.796 (5.717-13.534), 7.469 (2.874-19.411), 6.135 (3.217-11.699), 2.697 (1.624-4.477) and 1.814 (1.063-3.097), respectively], while the duration of second stage >2 h was the independent risk factor for episiotomy, third- or fourth-degree perineum laceration, blood transfusion, grade Ⅱ postpartum hemorrhage, forceps delivery and postpartum hemorrhage [adjusted OR (95% CI): 38.868 (14.948-101.063), 28.046 (2.780-282.490), 20.076 (5.384-74.866), 16.327 (3.406-78.274), 14.337 (5.351-38.411) and 9.036 (3.880-21.011), respectively]. Conclusions:The duration of the second stage of labor without epidural anesthesia is between that reported by Friedman and by Zhang. A prolonged second stage of labor may increase the risk of adverse pregnancy outcomes.

Objective:To evaluate the effect of patent foramen ovale (PFO) on the perioperative complications and survival rate in pediatric patients undergoing living donor liver transplantation.Methods:The medical records from pediatric patients of either sex with biliary atresia, aged<18 yr, who underwent living donor liver transplantation from January 2020 to January 2022, were retrospectively collected. The pediatric patients were divided into PFO group and non-PFO group according to the results of echocardiography before operation. The postreperfusion syndrome, acute lung injury, acute kidney injury, postoperative delirium and 1-year survival rate were recorded.Results:There was no significant difference in the incidence of postreperfusion syndrome, acute lung injury, acute kidney injury, postoperative delirium and one-year survival rate between PFO group and non-PFO group ( P>0.05). Conclusions:PFO has no obvious effect on the incidece of intraoperative and early postoperative complications and 1-year survival rate in pediatric patients undergoing living donor liver transplantation.

Objective:To identify the risk factors for postreperfusion syndrome (PRS) during living donor liver transplantation in pediatric patients with biliary atresia.Methods:The clinical data from pediatric patients who underwent living donor liver transplantation from January 2020 to December 2021 in our hospital were retrospectively analyzed. The clinical data included: (1) general information of the pediatric patients such as age, gender, height and body weight; (2) preoperative data such as left ventricular ejection fraction, pediatric end-stage liver disease score, serum aminotransferase, aspartate aminotransferase, total bilirubin, International Normalised Ratio and creatinine concentrations, and whole blood Hb concentration; (3) intraoperative data such as vital signs and blood gas analysis parameters immediate before reperfusion, time of anhepatic phase, donor liver cold ischemia time, transplanted liver quality, time of surgery, anesthesia time, volume of urine, blood loss, amount of blood transfused, and amount of fresh frozen plasma transfused. The pediatric patients were divided into PRS group and non-PRS group according to whether intraoperative PRS occurred. Risk factors for PRS were analyzed using binary logistic regression analysis.Results:A total of 304 pediatric patients were finally enrolled, with 132 cases in PRS group and 172 cases in non-PRS group. The incidence of PRS was 43.4%. The results of logistic regression analysis showed that prolonged liver graft cold ischemic time ( OR=1.031, 95% confidence interval 1.021-1.042, P<0.001) and body temperature <36 ℃ immediately before reperfusion ( OR=3.095, 95% confidence interval 1.656-5.785, P<0.001) were risk factors for PRS. Conclusions:Body temperature immediately before reperfusion<36.0 ℃ and prolonged liver graft cold ischemic time are risk factors for PRS during living donor liver transplantation in pediatric patients with biliary atresia.

Objective To assess the value of 18 F-FDG PET/CT, contrast-enhanced ultrasound, and their combination in the differential diagnosis of benign and malignant pancreatic lesions. Methods A retrospective analysis was performed on patients with pancreatic lesions who underwent 18 F-FDG PET/CT and contrast-enhanced ultrasound who were admitted to Tangshan Gongren Hospital from January 2015 to December 2020. The imaging results were confirmed by pathology examination to evaluate diagnostic sensitivity, specificity, accuracy, positive and negative predictive value. The t -test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between groups. Results There were 83 malignant lesions and 25 benign lesions in 108 patients. The sensitivity, specificity, accuracy, positive and negative predictive value were 86.75%, 80.00%, 85.19%, 93.51% and 64.52% for 18 F-FDG PET/CT; and 69.88%, 76.00%, 71.30%, 90.63% and 43.18% for contrast-enhanced ultrasound, respectively. The two methods differed significantly in sensitivity and accuracy (all P < 0.05), but not in specificity, negative and positive predictive value (all P > 0.05). When combined with the contrast-enhanced ultrasound, 18 F-FDG PET/CT had an increased sensitivity, specificity, accuracy, positive and negative predictive value of 90.36%, 84.00%, 88.89%, 94.94% and 72.41%, respectively, though this was not statistically significant due to the increased signal of blood supply in the lesions. Conclusion 18 F-FDG PET/CT has a better performance than contrast-enhanced ultrasound in the differential diagnosis of benign and malignant pancreatic lesions, and their combination can improve the diagnostic value.

OBJECTIVE：To identify Panax notoginseng and its processed products . METHODS ：The fingerprint was established by HPLC. Using ginsenoside Rb 1 as reference ，HPLC fingerprints of 15 batches of P. notoginseng and its processed products were drawn and the similarity evaluation was conducted by using the Similarity Evaluation System for TCM Chromatographic Fingerprints（2012 edition）. The common peaks were confirmed by comparing with substance control. SPSS 21.0 and SIMCA 14.1 software were used to perform cluster analysis ，principal component analysis and orthogonal partial least squares-discriminant analysis；taking the variable importance projection （VIP）value greater than 1 as the standard ，the differential marker components causing the quality difference between P. notoginseng and its processed products were screened. IR fingerprints of P. notoginseng and its processed products were established by OMNIC 8.2.0 software，and the spectral similarity was evaluated ；double index sequence analysis was used to analyze absorption peaks of IR fingerprints of 15 batches of P. notoginseng and its processed products. RESULTS ：There were 16 common peaks in the fingerprints of 15 batches of P. notoginseng ， and the similarities were 0.911-1.000；there were 25 common peaks in the fingerprints of processed products ，and the similaritieswere 0.862-1.000. They had 12 identical common peaks ，and wang668@sina.com three of them were ident ified as sanchinoside R 1，ginsenoside Rg1 and ginsenoside Rb 1. Results of cluster analysi s showed that when the distance was 10，15 batches of P. notoginseng could be clustered into two categories ，SW1-SW5 into one category ，SH1-SH5 and SQ 1-SQ5 into one category ，ZW1-ZW5，ZH1-ZH5 and ZQ1-ZQ5 of 15 batches of processed products could be clustered into one category. When the distance was 5，15 batches of P. notoginseng could be clustered into three categories ，SW1-SW5 into one category ，SH2-SH5 and SQ 2 into one category ，SQ1， SQ3-SQ5 and SH 1 into one category. Fifteen batches of processed products could be clustered into two categories ，ZW1-ZW5 into one category ，ZH1-ZH5 and ZQ 1-ZQ5 into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first two principal components was 80.104％ . The results of orthogonal partial least squares-discriminant analysis showed that the VIP values of the five peaks were greater than 1，which were peak H ，peak G ，peak J，peak F （ginsenoside Rg 1）and peak I. The similarity of IR fingerprints of 15 batches of P. notoginseng and its processed products were 0.889 7-1.000 0 and 0.972 8-1.000 0；the common peak rates were 80％-100％，and the variation peak rates were 0-17.65％ and 0-18.75％，respectively. By comparing the wave numbers of absorption peaks ，it was found that there were differences between P. notoginseng at 3 440 and 1 450 cm－1 and processed products at 1 530 and 575 cm－1. CONCLUSIONS ：Established HPLC fingerprint and IR fingerprint have good similarity ，and could effectively distinguish P. notoginseng and its processed products. P. notoginseng and its processed products from different habitats have high common peak rate and low variation rate ，and their chemical components are different ；peak H ，peak G ，peak J ，ginsenoside Rg 1 and peak I are differential marker components causing the quality difference between P. notoginseng and processed products.