Objective To discuss the accuracy and effectiveness of digital subtraction angiography(DSA)in determining the cause of limb ischemia after extra corporeal membrane oxygenation(ECMO.Methods The clinical data of 3 child patients,who developed 4 times of acute limb ischemia during perioperative period of ECMO at the Affiliated Children's Hospital of Zhengzhou University of China from July to October of 2023,were retrospectively analyzed.In all the child patients,emergency angiography was carried out to quickly identify the cause,then,appropriate treatment plan was adopted to open the blood vessels of the right lower limb.Results After the child patients entered the operating room and received DSA examination,the causes of the limb ischemia were quickly identified.After treatment,the blood supply to the lower limbs was restored.Except for one child who experienced irreversible necrosis of the distal limb due to repeated ischemia-reperfusion injury and required amputation,the other two child patients recovered well.Conclusion It is of great significance to perform DSA examination as soon as possible when the child patients develop limb ischemic manifestations after ECMO so as to quickly identify the cause,promptly restore blood supply to ischemic limbs and increase limb preservation rate,besides,DSA examination can also be used as a preventive measure for child patients after ECMO.

Objective To explore the safety and efficacy of semiconductor laser combined with sclerotherapy in the treatment of venous malformations(VM)in child patients.Methods The clinical data of 68 child patients with VM,who were admitted to the Affiliated Children's Hospital of Zhengzhou University of China from April 2023 to April 2024,were retrospectively analyzed.The child patients were divided into semiconductor laser combined with sclerotherapy group(laser+sclerotherapy group)and simple sclerotherapy group(sclerotherapy group),with 34 child patients in each group.The reduction rate of lesion size and the incidence of complications were compared between the two groups.Results The total effective rate and significant effective rate in the laser+sclerotherapy group were 100％ and 79.41％(27/34)respectively,which were higher than 82.35％(28/34)and 29.41％(10/34)respectively in the sclerotherapy group.The incidences of blister and pigmentation complications in the laser+sclerotherapy group were 11.76％(4/34)and 14.71％(5/34)respectively,which were lower than 41.18％(14/34)and 38.24％(13/34)respectively in the sclerotherapy group,and the differences between the two groups were statistically significant(all P＜0.05).Conclusion In treating child patients with VM,the combination use of semiconductor laser and sclerotherapy has higher clinical safety and effectiveness.

Objective To discuss the application value of intracavitary semiconductor laser therapy in improving facial appearance for child patients with facial venous malformations(VM)after receiving sclerotherapy.Methods The clinical data of 12 child patients with facial VM after receiving sclerotherapy,for whom the improvement of their facial appearance was difficult and who were admitted to the Affiliated Children's Hospital of Zhengzhou University of China from February 2023 to February 2024,were retrospectively analyzed.Intracavitary semiconductor laser treatment was adopted in all the 12 child patients.All the child patients were followed up to check the degree of appearance improvement and lesion volume reduction,and the curative effect was evaluated.Results Three months after intracavitary semiconductor laser treatment,obvious improvement of facial appearance was obtained in all the 12 child patients.The mean postoperative PAC-QOL psychological discomfort score was(10.4±3.9)points,when compared with the preoperative(23.7±4.3)points the difference was statistically significant(P＜0.05).MRI examination showed that after treatment no obvious improvement of the lesion was seen in 0 case,moderate improvement in one case,significant improvement in 4 cases,and cure in 7 cases.Conclusion Intracavitary semiconductor laser therapy has significant therapeutic effect in improving facial appearance for child patients with facial VM after receiving sclerotherapy,for whom the improvement of their facial appearance is difficult,therefore,this therapy has high clinical application value.

ObjectiveTo analyze the quantity-quality transfer of standard decoction of Ginseng Radix et Rhizoma（GRR） decoction pieces produced by fresh and traditional cutting， and to provide reference for quality control and application development of the decoction pieces produced by fresh cutting. MethodTen batches of representative GRR decoction pieces produced by fresh and traditional cutting and their standard decoctions were prepared by standard process， and high performance liquid chromatography（HPLC） fingerprint of the standard decoction was established and performed on an Agilent EC-C₁₈ column（4.6 mm×150 mm， 2.7 μm） with acetonitrile（A）-0.1% phosphoric acid aqueous solution（B） as the mobile phase for gradient elution（0-23 min， 18%-21%A； 23-35 min， 21%-28%A； 35-80 min， 28%-32%A）， and the detection wavelength was 203 nm. Then similarity evaluation， principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） of fingerprint of the standard decoction were performed to screen the differential components with variable importance in the projection（VIP） value>1. Quantitative analysis was carried out on the screened known differential components， and combined with the indicators of the dry extract rate and the transfer rate， to explore the differences in the quantity-quality transfer between the standard decoction of GRR decoction pieces produced by fresh and traditional cutting. ResultThe fingerprint similarity of the standard decoction of GRR decoction pieces produced by fresh and traditional cutting was more than 0.950， and 18 common peaks were identified， including 9 identified common peaks. The results of PCA and PLS-DA showed that there were some differences in the contents of index components between the two standard decoctions. The contents of ginsenoside Rg₁， Re and Ro in GRR decoction pieces produced by fresh cutting were higher than those in traditional decoction pieces， while the contents of ginsenoside Rb₁， Rc ， Rb₂ and Rd were lower than those in traditional decoction pieces. The contents of ginsenoside Rg₁， Re， Rb₁ and Ro in the standard decoction of GRR decoction pieces produced by fresh cutting were higher than those in the standard decoction of traditional decoction pieces， while the contents of ginsenoside Rc ， Rb₂ and Rd were comparable between the two standard decoctions. Compared with the standard decoction of the traditional decoction pieces， the average transfer rates of ginsenoside Rg₁， Rb₁， Rc， Rb₂ and dry extract rate of the standard decoction of GRR decoction pieces produced by fresh cutting were significantly increased（P<0.05）， and the average transfer rate of ginsenoside Re and Rd also increased， but the difference was not statistically significant. ConclusionThe dry extract rate， content and transfer rate of index components of standard decoction of GRR decoction pieces produced by fresh cutting are better than those of the standard decoction of traditional decoction pieces， which can provides data support for the subsequent clinical application of fresh cutting products.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.