1.Posterior minimally invasive surgery for treating paralytic scoliosis with pelvic obliquity in children following spinal cord injury
Yi CHEN ; Xiaodong QIN ; Zhong HE ; Zhen LIU ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU
Chinese Journal of Orthopaedics 2025;45(2):67-76
Objective:To compare the clinical efficacy of Minimally Invasive Surgery (MIS) and traditional Posterior Spinal Fusion (PSF) in treating children with paralytic scoliosis with pelvic obliquity (PSPO) following spinal cord injury.Methods:A retrospective analysis was conducted on the data of 25 patients with PSPO who underwent surgical treatment at the Drum Tower Hospital affiliated with Nanjing University Medical School from January 2017 to June 2023. The cohort included 4 males and 21 females, aged 12.3±2.8 years (range 9-14 years). Patients were divided into the MIS group (12 cases) and the PSF group (13 cases). Radiological parameters were measured preoperatively, postoperatively, and at the last follow-up. Surgical time, intraoperative blood loss, intraoperative blood transfusion volume, length of hospital stay, total hospitalization costs, and complications were recorded. The Scoliosis Research Society questionnaires-22 (SRS-22) Chinese version were used to assess patient satisfaction and efficacy.Results:There were no statistically significant differences between the MIS and PSF groups in age, gender, Risser sign, preoperative Cobb angle for scoliosis, pelvic tilt angle, or local kyphosis angle ( P>0.05). The MIS group demonstrated surgical time of 176±30 minutes, intraoperative blood loss of 300±70 ml, blood transfusion volume of 280±175 ml, and total hospitalization costs of 87'800± 13'300 yuan, all of which were lower than PSF group, with values of 280±91 minutes, 1'433±116 ml, 1'351±996 ml, and 14'8400±26'100 yuan, respectively. These differences were statistically significant ( t=3.789, P=0.001; t=29.328, P<0.001; t=3.667, P=0.001; t=7.271, P<0.001). In the MIS group, preoperative, postoperative, and last follow-up Cobb angles were 79.11°±6.74°, 35.86°±4.98°, and 36.27°±4.84° respectively; pelvic tilt angles were 24.79°±5.58°, 9.18°±3.32°, and 8.79°±2.94°; local kyphosis angles were 38.84°±4.18°, 12.96°±4.87°, and 11.43°±6.08°, respectively. Postoperative and last follow-up angles were significantly reduced compared to preoperative values, with statistically significant differences ( P<0.05). In the PSF group, preoperative, postoperative, and last follow-up Cobb angles were 82.06°±9.26°, 34.75°±5.14°, and 35.15°±5.04° respectively; pelvic tilt angles were 26.60°±6.21°, 10.12°±3.21°, and 9.91°±2.97°; local kyphosis angles were 40.92°±7.04°, 10.92°±7.26°, and 14.02°±5.58°, respectively. Differences from preoperative to postoperative measurements were statistically significant ( P<0.05). At the last follow-up, both groups showed no significant loss of scoliosis correction, and there were no statistically significant differences between the groups postoperatively or at the last follow-up ( P>0.05). In the MIS group, one case of superficial surgical site infection and one case of postoperative atelectasis occurred. In the PSF group, two cases of deep surgical site infection, one case of poor screw placement, and two cases were transferred to the ICU postoperatively due to excessive intraoperative bleeding. Preoperative SRS-22 total scores were 2.0±0.6 for PSF and 2.1±0.4 for MIS. Postoperative SRS-22 total scores (excluding satisfaction) were 3.0±0.5 for PSF and 2.9±0.3 for MIS. The within-group differences from preoperative to postoperative were statistically significant ( P<0.05), while the between-group differences from preoperative to postoperative were not statistically significant ( P>0.05). Conclusion:Compared to the PSF technique, MIS can shorten surgery time, reduce intraoperative blood loss and perioperative complications, and decrease hospitalization costs. MIS can achieve similar early clinical efficacy.
2.Development of a visualizable machine learning model for mechanical complication risk in adult spinal deformity surgery
Jie LI ; Zhen TIAN ; Zhong HE ; Xiaodong QIN ; Jun QIAO ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU ; Zhen LIU
Chinese Journal of Orthopaedics 2025;45(17):1137-1146
Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.
3.Current Status and Advances in the Diagnosis and Management of Gestational Diabetes Mellitus:An Analysis of Relevant Contents in the American Diabetes Association Standards of Care in Diabetes—2025
Jiani ZHANG ; Jiyuan LIU ; Chihui MAO ; Haiyan YU ; Xiaodong WANG
Journal of Sichuan University (Medical Sciences) 2025;56(3):627-632
Gestational diabetes mellitus(GDM)is closely associated with short-term and long-term adverse outcomes for both mothers and fetuses.In recent years,with the global prevalence of obesity and type 2 diabetes mellitus(T2DM)constantly rising,there is a significant increase in GDM incidence,with notable regional variations.Current challenges in GDM management include insufficient early screening or diagnosis,limited personalized intervention strategies,and poor adherence to long-term follow-up.Key research priorities for the future include optimizing screening methods for high-risk populations,enhancing targeted lifestyle interventions,and establishing effective follow-up and long-term health management systems.In December 2024,the American Diabetes Association(ADA)released the Standards of Care in Diabetes—2025(hereafter referred to as ADA[2025]),providing updated perspectives on the diagnosis and treatment of diabetes mellitus,as well as an overview of the definition,screening and diagnostic criteria,and management strategies for GDM.Based on ADA(2025)and the circumstances of clinical practice in China,we summarized the latest advancements in GDM research,aiming to improve comprehensive management strategies to prevent,delay,and improve adverse outcomes associated with GDM.
4.Posterior minimally invasive surgery for treating paralytic scoliosis with pelvic obliquity in children following spinal cord injury
Yi CHEN ; Xiaodong QIN ; Zhong HE ; Zhen LIU ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU
Chinese Journal of Orthopaedics 2025;45(2):67-76
Objective:To compare the clinical efficacy of Minimally Invasive Surgery (MIS) and traditional Posterior Spinal Fusion (PSF) in treating children with paralytic scoliosis with pelvic obliquity (PSPO) following spinal cord injury.Methods:A retrospective analysis was conducted on the data of 25 patients with PSPO who underwent surgical treatment at the Drum Tower Hospital affiliated with Nanjing University Medical School from January 2017 to June 2023. The cohort included 4 males and 21 females, aged 12.3±2.8 years (range 9-14 years). Patients were divided into the MIS group (12 cases) and the PSF group (13 cases). Radiological parameters were measured preoperatively, postoperatively, and at the last follow-up. Surgical time, intraoperative blood loss, intraoperative blood transfusion volume, length of hospital stay, total hospitalization costs, and complications were recorded. The Scoliosis Research Society questionnaires-22 (SRS-22) Chinese version were used to assess patient satisfaction and efficacy.Results:There were no statistically significant differences between the MIS and PSF groups in age, gender, Risser sign, preoperative Cobb angle for scoliosis, pelvic tilt angle, or local kyphosis angle ( P>0.05). The MIS group demonstrated surgical time of 176±30 minutes, intraoperative blood loss of 300±70 ml, blood transfusion volume of 280±175 ml, and total hospitalization costs of 87'800± 13'300 yuan, all of which were lower than PSF group, with values of 280±91 minutes, 1'433±116 ml, 1'351±996 ml, and 14'8400±26'100 yuan, respectively. These differences were statistically significant ( t=3.789, P=0.001; t=29.328, P<0.001; t=3.667, P=0.001; t=7.271, P<0.001). In the MIS group, preoperative, postoperative, and last follow-up Cobb angles were 79.11°±6.74°, 35.86°±4.98°, and 36.27°±4.84° respectively; pelvic tilt angles were 24.79°±5.58°, 9.18°±3.32°, and 8.79°±2.94°; local kyphosis angles were 38.84°±4.18°, 12.96°±4.87°, and 11.43°±6.08°, respectively. Postoperative and last follow-up angles were significantly reduced compared to preoperative values, with statistically significant differences ( P<0.05). In the PSF group, preoperative, postoperative, and last follow-up Cobb angles were 82.06°±9.26°, 34.75°±5.14°, and 35.15°±5.04° respectively; pelvic tilt angles were 26.60°±6.21°, 10.12°±3.21°, and 9.91°±2.97°; local kyphosis angles were 40.92°±7.04°, 10.92°±7.26°, and 14.02°±5.58°, respectively. Differences from preoperative to postoperative measurements were statistically significant ( P<0.05). At the last follow-up, both groups showed no significant loss of scoliosis correction, and there were no statistically significant differences between the groups postoperatively or at the last follow-up ( P>0.05). In the MIS group, one case of superficial surgical site infection and one case of postoperative atelectasis occurred. In the PSF group, two cases of deep surgical site infection, one case of poor screw placement, and two cases were transferred to the ICU postoperatively due to excessive intraoperative bleeding. Preoperative SRS-22 total scores were 2.0±0.6 for PSF and 2.1±0.4 for MIS. Postoperative SRS-22 total scores (excluding satisfaction) were 3.0±0.5 for PSF and 2.9±0.3 for MIS. The within-group differences from preoperative to postoperative were statistically significant ( P<0.05), while the between-group differences from preoperative to postoperative were not statistically significant ( P>0.05). Conclusion:Compared to the PSF technique, MIS can shorten surgery time, reduce intraoperative blood loss and perioperative complications, and decrease hospitalization costs. MIS can achieve similar early clinical efficacy.
5.Development of a visualizable machine learning model for mechanical complication risk in adult spinal deformity surgery
Jie LI ; Zhen TIAN ; Zhong HE ; Xiaodong QIN ; Jun QIAO ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU ; Zhen LIU
Chinese Journal of Orthopaedics 2025;45(17):1137-1146
Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.
6.Percutaneous Kirschner wire leverage plus plaster fixation versus elastic intramedullary nailing for radial neck fractures in children
Fuyong ZHANG ; Wendong LIU ; Xiaodong WANG ; Yunfang ZHEN ; Tantan ZHAO ; Ya LIU ; Yuhao YANG ; Mincheng ZOU ; Yunpeng MAO
Chinese Journal of Orthopaedic Trauma 2024;26(2):143-148
Objective:To compare the clinical outcomes between percutaneous Kirschner wire leverage plus plaster fixation and elastic intramedullary nailing in the treatment of radial neck fractures in children.Methods:A retrospective study was conducted to analyze the 60 children with radial neck fracture who had been treated by percutaneous Kirschner wire leverage plus plaster fixation at Department of Pediatric Orthopedics, Children's Hospital of Soochow University from January 2016 to July 2023 (set as an internal fixation-free group). They were 30 males and 30 females (34 left and 26 right sides) with an age of (7.7±3.0) years. At the same time, another cohort of 60 patients were chosen as an intramedullary nailing group who had been treated by percutaneous Kirschner wire leverage plus elastic intramedullary nailing and matched in age and gender with those in the internal fixation-free group. The preoperative fracture angulation, operative time, hospitalization time, fracture angulation on the first postoperative day, fracture angulation at 1 month postoperatively, rate of angulation loss after reduction, Mayo elbow performance score (MEPS) at the last follow-up and complications were compared between the 2 groups.Results:There was no significant difference between the 2 groups in their preoperative general data, showing comparability ( P<0.05). The 120 pediatric patients were followed up for (7.5±3.2) months. The operative time [(27.4±15.0) min] and hospitalization time [(3.4±1.9) d] in the internal fixation-free group were significantly shorter than those in the intramedullary nailing group [(45.4±13.5) min and (4.4±1.3) d] ( P<0.05). The preoperative fracture angulation (50.8°±1.9°), fracture angulation on the first postoperative day (11.3°±1.2°), fracture angulation at 1 month postoperatively (12.1°±1.3°), rate of angulation loss after reduction (2.9%±0.5%), and MEPS at the last follow-up [(90.4±2.0) points] in the internal fixation-free group showed no significant differences from those in the intramedullary nailing group [49.5°±1.7°, 11.1°±1.2°, 13.3°±1.5°, 3.9%±1.4%, and (90.2±2.3) points] ( P>0.05). None of the patients in the internal fixation-free group developed pin-tail irritation sign or premature epiphyseal closure after surgery, whereas 3 patients in the intramedullary nailing group developed pin-tail irritation sign and 2 ones premature epiphyseal closure after surgery, showing a significant difference in the complication rate between the 2 groups [0 (0/60) versus 8.3% (5/60)] ( P<0.05). Conclusions:Percutaneous Kirschner wire leverage plus plaster fixation and close elastic intramedullary nailing can both achieve satisfactory outcomes in the treatment of radial neck fractures in children. However, percutaneous Kirschner wire leverage plus plaster fixation needs shorter operative time and hospitalization time, leads to fewer complications, and requires no reoperation to remove internal fixation.
7.The Chinese guideline for management of snakebites
Lai RONGDE ; Yan SHIJIAO ; Wang SHIJUN ; Yang SHUQING ; Yan ZHANGREN ; Lan PIN ; Wang YONGGAO ; Li QI ; Wang JINLONG ; Wang WEI ; Ma YUEFENG ; Liang ZIJING ; Zhang JIANFENG ; Zhou NING ; Han XIAOTONG ; Zhang XINCHAO ; Zhang MAO ; Zhao XIAODONG ; Zhang GUOQIANG ; Zhu HUADONG ; Yu XUEZHONG ; Lyu CHUANZHU
World Journal of Emergency Medicine 2024;15(5):333-355
In 2009,the World Health Organization included snakebite on the list of neglected tropical diseases,acknowledging it as a common occupational hazard for farmers,plantation workers,and others,causing tens of thousands of deaths and chronic physical disabilities every year.This guideline aims to provide practical information to help clinical professionals evaluate and treat snakebite victims.These recommendations are based on clinical experience and clinical research evidence.This guideline focuses on the following topics:snake venom,clinical manifestations,auxiliary examination,diagnosis,treatments,and prevention.
8.Advances in non-surgical animal models of vascular cognitive impairment
Rong SUN ; Zhongnan MAO ; Xiaodong ZHI ; Xuexia SONG ; Shasha LI ; Shirui ZHANG
Acta Laboratorium Animalis Scientia Sinica 2024;32(9):1222-1232
Vascular cognitive impairment(VCI)includes a range of illnesses from mild cognitive impairment to dementia,attributable to cerebrovascular factors.Although appropriate animal models are needed to allow clinicopathological research and drug development,there are currently no animal models that can perfectly simulate the pathogenesis of VCI.At present,carotid artery and vertebral artery stenosis or occlusion are the main method for VCI modeling;however,increasing numbers of non-surgical method have recently emerged,providing new ideas and prospects for the study of this disease.In this paper,we consider the construction method,model mechanisms,and model characteristics of non-surgical animal models of VCI,to provide a reference to help researchers choose the most suitable animal model.
9.Effect of interaction between serum NGAL and complications after PCI on poor prognosis in STEMI patients
Xiaodong ZHAO ; Jianyu SHU ; Rongrong ZHAO ; Jianyun MAO ; Bin LIU
International Journal of Laboratory Medicine 2024;45(18):2234-2239
Objective To investigate the effect of interaction between serum neutrophil gelatinase-associat-ed lipid carrier protein(NGAL)and complications after percutaneous coronary intervention(PCI)on poor prognosis in patients with ST-segment elevation myocardial infarction(STEMI),and to provide reference for improving prognosis.Methods From January 2017 to January 2020,a total of 400 STEMI patients admitted to this hospital were selected and divided into good prognosis group(n=378)and poor prognosis group(n=22)according to their 2-year prognosis.Logistic regression equations were used to analyze the prognostic fac-tors of STEMI patients,and multiplicative and additive effects were established to analyze the effect of the in-teraction between serum NGAL and post-PCI complications on poor prognosis.Results Gender,age,heart rate,Gensini score,number of lesions ≥2,Killip grade,complications after PCI and NGAL level after PCI were associated with poor prognosis in STEMI patients(P<0.05).Gender(female),age,heart rate,Gensini score,number of lesions ≥2,Killip grade,complications after PCI and NGAL level after PCI were all inde-pendent influencing factors of poor prognosis in STEMI patients(P<0.05).There was interaction between serum NGAL after PCI and complications after PCI,both of which had an adverse effect on the prognosis of STEMI patients(P<0.05).There was no multiplicative interaction between serum NGAL and complications after PCI(P>0.05).When serum NGAL and complications after PCI were exposed at the same time,the risk of poor prognosis in STEMI patients was higher than the sum of the two exposures alone,and the interaction was 2.611 times the sum of the effects of the two exposures alone.Conclusion Serum NGAL and postopera-tive complications after PCI are independent factors influencing poor prognosis in STEMI patients.There is a additive interaction between the two factors,and exposure can increase the risk of poor prognosis.
10.Postpartum Glucose Follow-up Screening Among Women With Gestational Diabetes Mellitus: A Retrospective Cohort Study
Jiani ZHANG ; Tingting XU ; Qi CAO ; Chihui MAO ; Fan ZHOU ; Xiaodong WANG
Maternal-Fetal Medicine 2024;06(4):236-242
Objective::To evaluate the impact of pregestational and gestational characteristics on postpartum glucose follow-up screening (PGFS) compliance in women diagnosed with gestational diabetes mellitus (GDM) in southwest China.Methods::This retrospective cohort study was conducted in West China Second Hospital, Sichuan University. Pregestational and gestational factors were extracted from hospital records and compared between women who completed PGFS and those who did not. The screening method chosen was the 75 g oral glucose tolerance test (OGTT), performed 4–12 weeks postpartum. Univariate analysis, logistic regression analysis, and Cochran-Armitage test were used to assess associations between maternal characteristics and PGFS compliance.Results::A total of 3047 women with GDM were included, with a PGFS completion rate of 47.2%. Of those who completed PGFS, 430 women (29.9%) presented abnormal results: 1.8% with impaired fasting glucose (IFG), 24.1% with impaired glucose tolerance (IGT), 2.2% with both IFG and IGT, and 1.8% with suspected diabetes. Independent factors associated with non-compliance to PGFS included higher pregestational BMI (odds ratio ( OR): 0.952; 95% confidence interval ( CI): 0.922, 0.984), multipara ( OR: 0.721; 95% CI: 0.593, 0.877), use of assisted reproduction technology (ART) ( OR: 1.427; 95% CI: 1.080, 1.885), excessive gestational weight gain ( OR: 0.956; 95% CI: 0.936, 0.977), elevated fasting plasma glucose (FPG) prior to delivery ( OR: 0.909; 95% CI: 0.835, 0.988), and undergoing cesarean section ( OR: 1.232; 95% CI: 1.017, 1.492). PGFS completion rates significantly decreased with increasing pregestational BMI and earlier gestational age ( P < 0.001). Conclusion::Establishing dedicated postpartum follow-up teams and targeting women with higher pregestational BMI, multiparity, ART use, excessive gestational weight gain, elevated pre-delivery FPG, and those undergoing cesarean section are critical to improving postpartum GDM management.

Result Analysis
Print
Save
E-mail