1.Role of SWI/SNF Chromatin Remodeling Complex in Tumor Drug Resistance
Gui-Zhen ZHU ; Qiao YE ; Yuan LUO ; Jie PENG ; Lu WANG ; Zhao-Ting YANG ; Feng-Sen DUAN ; Bing-Qian GUO ; Zhu-Song MEI ; Guang-Yun WANG
Progress in Biochemistry and Biophysics 2025;52(1):20-31
Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca2+ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca2+ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.
2.Establishing a risk prediction model for the onset of female stress urinary incontinence based on machine learning
Xinran SHI ; Zhen PANG ; Ting QIAO ; Jingjing LI ; Qinzhang WANG
Journal of Modern Urology 2025;30(3):196-206
Objective: To construct prediction models of female stress urinary incontinence (SUI), and evaluate the efficacy of each model, so as to provide reference for the early diagnosis of SUI. Methods: Female SUI patients treated in our hospital during Oct. 2019 and Oct. 2023 and healthy women undergoing physical examination during the same period were involved. Women 42 days after delivery were included in the postpartum group (n=611), and perimenopausal and postmenopausal women were included in the non-postpartum group (n=409). The number of random seeds was set and the participants were divided into the training and verification sets in a ratio of 7∶3. Relevant clinical data were collected, and meaningful variables were screened using single factor and Lasso regression, which were then incorporated into the K-nearest neighbor method (KNN), support vector machine (SVM),decision tree (DT) and random forest (RF) algorithms. The sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC) of the models were calculated to screen out the optimal model. Results: There were 352 SUI patients (57.6%) in the postpartum group. According to single factor and Lasso regression, significant variables included age, body mass index (BMI), maximum rapid muscle stage, parity, bladder neck mobility (BND), urethral rotation angle (URA), lateral perineal incision, past incontinence, and constipation. In the verification set, the AUC of KNN,SVM,DT and RF models were 0.881,0.878,0.750 and 0.905,respectively; the AUC, accuracy, F1 index and Kappa value of RF model were the largest. In the non-postpartum group, there were 260 SUI patients, accounting for 63.6%. The significant variables were age,BMI, maximum value and recovery time of fast muscle stage, mean value of slow muscle stage, post-resting stage variability, vaginal delivery, past incontinence, and constipation. In the verification set, the AUC of KNN,SVM,DT and RF models were 0.819,0.805,0.603 and 0.830, respectively; the AUC, accuracy, Kappa value of the RF model were the largest. Conclusion: This study successfully established 4 prediction models for the incidence of SUI in women at 42 days postpartum, perimenopausal and postmenopausal women based on machine learning. Among them, the model adopting the RF algorithm had the best prediction efficiency.
3.Improvement effect and mechanism of sanguinarine on inflammatory pain in rats with lumbar disc herniation
Zhen RUAN ; Shenghua HE ; Xuehua GONG ; Song QIAO ; Chao WANG
China Pharmacy 2024;35(9):1087-1093
OBJECTIVE To study the improvement effect and mechanism of sanguinarine (SG) on inflammatory pain in rats with lumbar disc herniation (LDH) and its mechanism. METHODS LDH model rats were established and divided into model group, SG low-dose, medium-dose and high-dose groups (1.00, 2.50, 6.25 mg/kg), high-dose of SG+Anisomycin [mitogen-activated protein kinase (MAPK) activator] group (6.25 mg/kg SG+5 mg/kg Anisomycin), with 10 rats in each group. Another 10 rats were included as the control group. Each group was given corresponding drugs intraperitoneally, while the control group and model group were given an equal volume of normal saline intraperitoneally, once a day, for 7 consecutive days. The general situation and neurological changes of rats in each group were observed, and the pain threshold [including paw withdrawal mechanical threshold (PWMT) and paw withdrawal thermal latency (PWTL)] of rats was determined; the histopathological changes of dorsal root ganglion (DRG) were observed in rats. The serum levels of inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β)] and pain factors [neuropeptide Y (NPY), 5-hydroxytryptamine (5-HT)] in rats were detected.The positive expressions of ionized-calcium binding adaptor molecule-1 (Iba-1) in spinal cord microglia and glial fibrillary acidic protein (GFAP) in astrocytes were observed. The expressions of proteins related to MAPK/extracellular signal-regulated kinase (ERK)/nuclear factor κB (NF-κB) signaling pathway, TNF-α and IL-1β proteins were detected in DRG tissue of rats. RESULTS Compared with the control group, the rats in the model group showed decreased appetite, hindlimb movement disorders, and disordered neuronal cell arrangement, the neurological score, the levels of TNF-α, IL-1β, NPY, the positive expressions of Iba-1 and GFAP, the phosphorylations of p38 MAPK, ERK1/2 and NF-κB p65, the protein expressions of TNF-α and IL-1β were significantly increased (P<0.05); PWMT, PWTL and the levels of 5-HT were significantly reduced (P<0.05). Compared with the model group, the rats of SG groups showed some relief in their mental appetite and hindlimb motor disorders, the intervertebral disc structure of DRG was restored, and the levels of the above quantitative indicators had significantly reversed (P<0.05). Anisomycin reversed the improvement effect of SG on inflammatory pain in LDH rats. CONCLUSIONS SG can improve inflammatory pain by inhibiting the activation of microglia in DRG tissue of LDH rats, reducing the release of inflammatory factors, and increasing pain threshold, and its mechanism of action may be related to the inhibition of MAPK/ERK/NF- κB signaling pathway.
4.Distribution of urinary tract pathogens and susceptibility to nenofloxacin and levofolxacin in patients with community-acquired urinary tract infection
Zhen DU ; Shan CHEN ; Liang CUI ; Huiling WU ; Zhan GAO ; Jin YANG ; Gang CUI ; Jiajing WANG ; Tiehuan SHU ; Ninghan FENG ; Ludong QIAO
Chinese Journal of Urology 2024;45(1):24-28
Objective:To investigate the distribution characteristics of urinary tract pathogens in patients with community-acquired urinary tract infection and their sensitivity to nenoxacin and levofloxacin.Methods:This prospective, multicenter clinical trial included patients with community-acquired urinary tract infection who were admitted to urological clinics at 9 clinical research centers from November 2021 to August 2022.Inclusion criteria: Patients aged 18-70 years with community-acquired acute uncomplicated cystitis(AUC), recurrent acute episodes of urinary tract infection(rUTI), and non-febrile complicated urinary tract infection(cUTI) with signs of urinary tract irritation and abnormal elevation of routine white blood cells in urine. Exclusion criteria: ①Patients who received effective antimicrobial therapy within 72 h before enrollment and lasted for more than 24 h. ②Fever (>37.3℃) or symptoms of upper urinary tract infection such as low back pain, tapping pain in the kidney area, etc. ③Indwelling urinary catheter. At the first visit, clean midstream urine samples were taken for bacterial culture, and the distribution characteristics of urinary pathogens of different types of urinary tract infections were analyzed. Extended spectrum β-lactamases (ESBLs) were measured for Gram-negative bacteria. The susceptibility of nenoxacin and levofloxacin to urinary tract pathogens was determined by disk diffusion method. Drug resistance rate, sensitivity rate were analyzed between different disease groups.Results:There were 404 enrolled patients from 9 hospitals, including 364 (90.1%) females and 40 (9.9%) males. A total of 177 strains of pathogenic bacteria were isolated, among which the highest proportion of Escherichia coli was 66.1% (117/177).Klebsiella pneumoniae was followed by 6.8% (12/177) and Streptococcus agalactis 5.1% (9/177). The bacterial spectrum distribution of AUC and rUTI were similar, and the proportions of Escherichia coli were 70.6% (85/119) and 65.9% (29/44), respectively. However, the proportions of Escherichia coli isolated from cUTI patients were only 28.6% (4/14) and Enterococcus faecalis 7.1%(1/14). The overall detection rate of ESBLs in Gram-negative bacteria was 30.9%(43/139). The sensitivity rate of nenoxacin was 74.6%(91/122), and the resistance rate was 25.4%(31/122). The overall sensitivity rate of levofloxacin was 44.9%(70/156) and the resistance rate was 36.5%(57/156). The rate of resistance of urinary tract pathogens to levofloxacin was 48.2% (27/56) in patients with previous urinary tract infection history, and 30.0% (30/100) in patients with no previous urinary tract infection history, the difference was statistically significant( P=0.023).The sensitivity rate of Gram-negative bacteria to nenofloxacin was 70.7% (65/92) and that to levofloxacin was 50.0% (46/92, P<0.001). The sensitivity of Gram-positive bacteria to nenofloxacin was 80.0% (16/20), and that to levofloxacin was 70.0% (14/20, P=0.009). Conclusions:The bacterial profile of out-patient community acquired urinary tract infection varies greatly according to different diseases. The proportion of Escherichia coli in AUC and rUTI patients is higher than that in cUTI. The detection rate of ESBLs in Gram-negative bacteria was lower than the domestic average.Patients with a history of urinary tract infection had a high risk of treatment failure with levofloxacin. The sensitivity of common urinary tract pathogens to nenofloxacin was higher than levofloxacin.
5.Impacts of Schisandrin A on proliferation, apoptosis and Hippo-YAP signaling pathway of prostate cancer cell
Fang WANG ; Zhen DING ; Zhu QIAO ; Jin KONG ; Qi MA ; Xiaowei LIU
International Journal of Surgery 2024;51(6):371-376
Objective:To investigate the effects of Schisandrin A on the proliferation and apoptosis of prostate cancer cell and its mechanism.Methods:Human prostate cancer DU145 cell were cultured in vitro and grouped into DU145 group (normal culture), Schisandrin A L group (50 μmol/L Schisandrin A was added), Schisandrin A M group (100 μmol/L Schisandrin A was added), Schisandrin A H group (150 μmol/L Schisandrin A was added) and Simvastatin group (50 μmol/L Simvastatin was added). Cell morphology of each group was observed under microscope, cell proliferation ability was detected by CCK8 method, cell migration ability was detected by cell scratch assay, cell invasion ability was detected by Transwell assay, and cell apoptosis was detected by flow cytometry, the expression of phosphorylation (p) - mammalian STE20-like protein kinase 1 (MST1), MST1, p-large tumor suppressor 1 (LATS1), LATS1, p-Yes associated protein (YAP) and YAP protein were detected by Western blotting. Measurement data were expressed as mean± standard deviation ( ± s), one-way ANOVA for comparisons between multiple groups, and t-test for comparisons between two groups. Results:Compared with DU145 group, the number of cells in Schisandrin A L, M, H groups and Simvastatin group decreased, and the cells gradually shrunk and the spacing became larger, the cell survival rate [(100.00±0.00)%, (88.41±9.36)%, (62.34±7.31)%, (42.57±5.01)%, (45.47±5.65)%], migration [(90.11±13.43)%, (74.16±8.08)%, (57.53±7.34)%, (41.34±6.79)%, (43.44±5.26)%] and invasion [(89.01±10.31)%, (73.11±9.23)%, (55.62±7.67)%, (41.13±6.35)%, (40.36±5.68)%], and the expression of p-YAP/YAP protein (0.98±0.08, 0.83±0.11, 0.69±0.07, 0.55±0.07, 0.53±0.05) were significantly decreased, the apoptosis rate [(2.88±0.34)%, (5.20±0.57)%, (8.37±0.94)%, (12.71±1.58)%, (12.03±2.21)%] and the expression of p-MST1/MST1 (0.41±0.04, 0.53±0.07, 0.75±0.07, 0.89±0.08, 0.88±0.07] and p-LATS1/LATS1 protein (0.40±0.04, 0.52±0.06, 0.64±0.06, 0.77±0.08, 0.79±0.08) were significantly increased, and the differences were statistically significant ( P<0.05). Conclusion:Schisandrin A may inhibit the proliferation of prostate cancer cell and promote cell apoptosis by inhibiting Hippo-YAP signaling pathway.
6.Neuroprotective effects of Shaoyao Gancao decoction against excitatory damage in PC12 cells based on the Src-NR2-nNOS pathway
Xiaxu Fan ; Hongyan Ma ; Tiantian Zhou ; Min Fu ; Zhiyuan Qiao ; Yingtong Feng ; Zhen Wang ; Yiwei Shen ; Jingxia Wang
Journal of Traditional Chinese Medical Sciences 2024;11(3):293-302
Objective:
To explore the neuroprotective effects of the Shaoyao Gancao decoction (SGD) against excitatory damage in PC12 cells and the role of the Src-NR2-nNOS pathway mediation by SGD in regulating γ-aminobutyric acid (GABA)-glutamate (Glu) homeostasis.
Methods:
N-Methyl-d-aspartic acid (NMDA) was used to establish a PC12 cell excitability injury model. To investigate the neuroprotective effect of SGD, a cell counting kit-8 (CCK-8) assay was used to determine PC12 cell viability, Annexin V/Propidium Iodide (Annexin V/PI) double staining was used to determine PC12 cell apoptosis, and Ca2+ concentration was observed using laser confocal microscopy. GABA receptor agonists and antagonists were used to analyze the neuroprotective interactions between γ-aminobutyric acid (GABA) and NMDA receptors. Additionally, molecular biology techniques were used to determine mRNA and protein expression in the Src-NR2-nNOS pathway. We analyzed the correlations between the regulatory sites of GABA and NMDA interactions, excitatory neurotoxicity, and brain damage at the molecular level.
Results:
NMDA excitotoxic injury manifested as a significant decrease in cell activity, increased apoptosis and caspase-3 protein expression, and a significant increase in intracellular Ca2+ concentration. Administration of SGD, a GABAA receptor agonist (muscimol), or a GABAB receptor agonist (baclofen) decreased intracellular Ca2+ concentrations, attenuated apoptosis, and reversed NMDA-induced upregulation of caspase-3, Src, NMDAR2A, NMDAR2B, and nNOS. Unexpectedly, a GABAA receptor antagonist (bicuculline) and a GABAB receptor antagonist (saclofen) failed to significantly increase excitatory neurotoxicity.
Conclusions
Taken together, these results not only provide an experimental basis for SGD administration in the clinical treatment of central nervous system injury diseases, but also suggest that the Src-NR2A-nNOS pathway may be a valuable target in excitotoxicity treatment.
7.Automatic nuclei segmentation of gastrointestinal cancer pathological images based on deformable attention transformer
Zhi-Xian TANG ; Zhen LI ; Qiao GUO ; Jia-Qi HU ; Xue WANG ; Xu-Feng YAO
Fudan University Journal of Medical Sciences 2024;51(3):396-403
Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Severe distal curve progression and its revision strategy following posterior osteotomy and fusion for congenital cervicothoracic scoliosis
Saihu MAO ; Kai SUN ; Song LI ; Jie ZHOU ; Yitong ZHU ; Zhen LIU ; Benlong SHI ; Xu SUN ; Jun QIAO ; Bin WANG ; Yang YU ; Yong QIU ; Zezhang ZHU
Chinese Journal of Orthopaedics 2024;44(8):509-518
Objective:To investigate the risk factors for severe distal curve progression after posterior hemivertebra (HV) resection and short-segment fixation in patients with congenital cervicothoracic scoliosis (CTS), and to analyze the surgical revision strategy.Methods:Imaging and clinical data of patients who underwent posterior HV resection and short-segment fixation for CTS between August 2012 and August 2021 at Nanjing Drum Tower Hospital were retrospectively analyzed. A total of 55 patients were recruited, including 27 females and 28 males with an average age of 8.5±3.6 years (range 3-15 years) at surgery and an average Risser grade of 0.7±1.4 (range 0-4). The number of fused segments averaged 6.9±1.6 (range 4-10), and the mean follow-up was 38.7±18.9 months (range 9-94 months). According to the severity of distal curve progression, the recruited patients were divided into three groups: non-progression group (NPG), mild progression group (MPG), and severe progression group (SPG). The latter two groups were collectively called the progression group (PG). The cervicothoracic Cobb angle, T1 tilt angle, coronal balance distance (CBD), neck tilt angle, clavicular angle, head tilt angle, head shift, and upper (UIV) and lower instrument vertebra (LIV) tilt angle on the standing whole spine X-ray were measured before and after surgery and at the last follow-up. The correction rate of the Cobb angle in the osteotomy area was measured and calculated on CT three-dimensional reconstruction, and the proportion of patients with Klippel-Feil syndrome (KFS) was recorded. Statistical analysis was conducted on the various parameters between the two groups. For factors with statistical significance in the single-factor analysis, binary logistic regression analysis was performed to identify the high-risk factors for distal curve progression.Results:There were 38 cases in the NPG, 11 in the MPG, and 6 in the SPG. Compared to the NPG, the PG showed more severe coronal imbalance preoperatively, with CBD of 35.6±22.3 mm and 11.6±7.1 mm respectively; more severe neck tilt and head shift, with neck tilt angle of 17.4°±8.3° and 12.4°±6.9° respectively, and head shift of 22.8±17.7 mm and 13.9±9.8 mm respectively; and a higher proportion of KFS, 65% (11/17) and 34% (13/38) respectively, all with statistical significance ( P<0.05). Postoperatively, the PG showed more severe coronal imbalance compared with the NPG, with 17.3±12.7 mm and 9.6±8.1 mm respectively; more evident residual deformity, with cervical tilt angles of 9.4°±4.6° and 6.4°±5.3° respectively, and head shift of 14.7±7.4 mm and 9.1±5.9 mm respectively; lower correction of Cobb angle in the apical osteotomy region, with rates of 40.1%±15.2% and 50.3%±19.9% respectively; more significant UIV and LIV tilt, with UIV tilt angles of 14.3°±7.4° and 9.8°±5.3° respectively, and LIV tilt angles of 8.1°±5.5° and 4.5°±3.6° respectively, all with statistical significance ( P<0.05). SPG showed only more severe coronal imbalance preoperatively compared with the MPG, with 50.7±31.3 mm and 27.3±9.6 mm respectively; and head shift, with 33.5±25.0 mm and 16.9±11.0 mm respectively, all with statistical significance ( P<0.05). Logistic regression analysis demonstrated a significant correlation between significant preoperative coronal imbalance and postoperative distal scoliosis progression [ OR=1.299, 95% CI (1.101, 1.531), P=0.002]. Five cases (83.3%) in SPG underwent revision surgery with an average follow-up of 25 months, and selecting the LIV down to the stable region was the major revision strategy. Conclusion:Combined KFS, residual cervicothoracic deformities, and tilting of UIV and LIV are key causes, whereas significant preoperative coronal imbalance is an independent risk factor predisposing to the distal curve progression.
10.Comparison of surgical outcomes between three-column osteotomy and posterior column osteotomy for correcting type I neurofibromatosis associated with kyphoscoliosis
Song LI ; Zezhang ZHU ; Jie ZHOU ; Saihu MAO ; Yitong ZHU ; Zhen LIU ; Benlong SHI ; Xu SUN ; Jun QIAO ; Bin WANG ; Yang YU ; Yong QIU
Chinese Journal of Orthopaedics 2024;44(8):569-577
Objective:To compare the clinical outcomes between three-column osteotomy and posterior-column osteotomy for correcting dystrophic kyphoscoliosis secondary to neurofibromatosis type 1 (DKS-NF1).Methods:ALL of 84 patients with DKS-NF1 were retrospectively analyzed, and the average age was 17.7±6.9 years. There were 50 cases with single curve, 18 cases with double curves, and 16 cases with triple curves; kyphosis was found in 42 cases in the thoracic area, 31 cases in the thoracolumbar area, and 11 cases in the lumbar area. The patients were divided into two groups: posterior column osteotomy group and three column osteotomy group based on surgical strategy. The radiographic parameters (including the magnitude of kyphosis, scoliosis, coronal balance distance, etc.) were compared between the two groups before and after surgery, and during the follow-up. The surgical efficacy was also compared based on the spinal correction and complications (such as cerebrospinal fluid leakage, pneumothorax, rod breakage, etc.).Results:The posterior column osteotomy group consisted of 74 patients and the column osteotomy group consisted of 10 patients. The age of patients in the posterior column osteotomy group was significantly younger than that in the three-column osteotomy group (15.8±4.8 years vs. 29.4±10.2 years, t=7.088, P<0.001), and the proportion of preoperative traction in this group was significantly higher than that in the three column osteotomy group (26/74 vs. 0, P=0.027). The apex of kyphosis in the three-column osteotomy group mainly located in the thoracolumbar and lumbar area, significantly higher than that in the posterior column osteotomy group (10/10 vs. 32/74, P=0.001). The magnitude of kyphosis in the two groups were 73.8°±20.9° and 63.1°±21.4° before surgery, respectively ( t=1.506, P=0.136). After surgery, they were corrected to 43.1°±20.9° and 21.1°±22.8°, respectively ( t=3.066, P=0.003), with correction rates of 43.7% ±19.6% and 84.1% ±78.7%, respectively ( t=3.677, P<0.001). At the last follow-up, they were maintained at 46.5°±20.9° and 24.6°±25.5°, respectively ( t=3.016, P=0.003). The Cobb angle of the main curve was corrected from preoperative 83.0°±29.0° and 66.3°±17.7° ( t=1.766, P=0.081) to postoperative 50.6°±20.8° and 40.8°±15.6° ( t=1.436, P=0.155), with correction rates of 38.3% ±16.6% and 39.3% ±12.7% ( t=0.191, P=0.849), respectively. At the last follow-up, they were maintained at 52.3°±20.5° and 43.1°±18.2°, respectively ( t=1.339, P=0.185). The proportion of multi-rod system application and screw density in three column osteotomy group was significantly higher than that in posterior column osteotomy group (8/10 vs. 20/74, P=0.002; 72.0% ±11.3% vs. 61.4% ±14.6%, t=2.173, P=0.033). The incidence of complications in the two groups was 12.2% (posterior column osteotomy group, 9/74) and 20% (three column osteotomy group, 2/10), respectively, with no statistically significant difference ( P=0.613). Conclusion:Three-column osteotomy is mainly used to treat adult kyphosis in DKS-NF1 patients. While the posterior column osteotomy methods were mainly applied in young patients. Most patients can achieve the purpose of deformity correction by posterior column osteotomy alone or combined with anterior complementary fusion. For patients with severe kyphosis, preoperative Halo gravity traction can help to further correct the intraoperative deformities.


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