1.Antiosteoporosis effect of conventional treatment combined with Denosumab after percutaneous kyphoplasty for osteoporotic vertebral compression fractures
Chenyang WU ; Yiping GU ; Xueli QIU ; Huajian SHAN ; Xiang GAO ; Lide TAO ; Yingzi ZHANG ; Bingchen SHAN ; Xiaozhong ZHOU ; Jinyu BAI
Chinese Journal of Trauma 2024;40(9):787-792
Objective:To compare the antiosteoporosis effect of conventional treatment and conventional treatment combined with Denosumab after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures (OVCF).Methods:A retrospective cohort study was conducted to analyze the clinical data of 211 patients with OVCF admitted to the Second Affiliated Hospital of Soochow University from September 2020 to September 2022. All the patients were female, aged 56-90 years [(71.4±8.1)years]. The bone mineral density T-score of the lumbar spine was (-2.6±1.0)SD before operation. Fracture segments included T 1-T 9 in 45 patients, T 10-L 2 in 146, and L 3-L 5 in 69. Of all, 174 patients were treated with single-segment surgery, 25 with two-segment surgery and 12 with surgery involving three or more segments. According to the wishes of the patients, 107 patients were treated with daily oral administration of calcium and active Vitamin D after PKP (conventional treatment group) and 104 patients with Denosumab combined with the conventional treatment after PKP (Denosumab therapy group). The bone mineral density T-scores of the lumbar spine of the two groups were compared before surgery and at the last follow-up. The visual analogue scale (VAS) and Oswestry disability index (ODI) before surgery, at 3 days, 6 months after surgery, and at the last follow-up were evaluated and the refracture rate after surgery was detected. Possible adverse effects after medication during anti-osteoporosis treatment were observed in two the groups. Results:All the patients were followed up for 12-24 months [(13.5±2.0)months]. Before surgery, the bone mineral density T-score of the lumbar spine was (-2.7±1.1)SD in the Denosumab therapy group and (-2.5±0.8)SD in the conventional treatment group ( P>0.05). At the last follow-up, the bone mineral density T-score of the lumbar spine was (-2.1±1.1)SD in the Denosumab therapy group, significantly higher than (-2.5±0.9)SD in the conventional treatment group ( P<0.05). In the Denosumab therapy group, the bone mineral density T-score of the lumbar spine at the last follow-up was significantly increased compared to that before surgery ( P<0.01), while there was no significant difference in the conventional treatment group ( P<0.05). Before surgery and at 3 days after surgery, the VAS scores and ODI values were (8.5±0.9)points, (2.8±0.8)points, 48.7±4.8 and 25.6±4.0 in the Denosumab therapy group, which was not statistically different from those in the conventional treatment group [(8.5±1.3)points and (2.8±0.9)points, 47.9±7.0 and 25.9±3.7] ( P>0.05). At 6 months after surgery and at the last follow-up, the VAS scores and ODI values were (2.2±0.8)points, (1.7±0.8)points, 24.2±3.6 and 23.2±4.1 in the Denosumab therapy group, significantly lower than those of the conventional treatment group [(2.8±0.9)points, (2.8±1.1)points, 26.4±3.2 and 27.3±4.0] ( P<0.01). The VAS scores at each time point after surgery in both groups decreased significantly compared with those before surgery ( P<0.05). The VAS scores continued to decrease after surgery in the Denosumab therapy group ( P<0.05), while no significant difference was found among those at different time points in the conventional treatment group ( P>0.05). The ODI values at each time point after surgery in both groups significantly decreased compared to those before surgery ( P<0.05). The ODI values continued to decrease after surgery in the Denosumab therapy group ( P<0.05), while in the conventional treatment group, no significant difference was found between those at 6 months after surgery and those at 3 days after surgery ( P>0.05) and they were improved at the last follow-up compared with those at 3 days after surgery ( P<0.05). The refracture rate after surgery was 6.7% (7/104) in the Denosumab therapy group, significantly lower than 16.8% (18/107) in the conventional treatment group ( P<0.05). No serious complications were observed during the antiosteoporosis period in either group. Conclusion:Compared with daily oral administration of Calcium and active Vitamin D after PKP, the conventional treatment combined with Denosumab after PKP can effectively increase the bone density, relieve pain continuously, improve functional restoration, and reduce the risk of refracture in OVCF patients.
2.Effects of hierarchical management based on comprehensive quantitative risk assessment in psychiatric inpatients
Changfeng MA ; Yiping QIAN ; Kangying GU ; Yun CHENG
Chinese Journal of Modern Nursing 2022;28(13):1769-1772
Objective:To explore the effects of the hierarchical management based on comprehensive quantitative risk assessment strategy in psychiatric inpatients.Methods:Totally 1 356 inpatients admitted at the Department of Psychiatric Rehabilitation in Huaian No.3 People's Hospital between January and December 2019 were included by convenient sampling into a control group, which received routine risk management and nursing intervention; 1 282 inpatients admitted between January and December 2020 were included into an observation group, which underwent hierarchical management based on comprehensive quantitative risk assessment on this basis. The incidence of accidental events was compared between the two groups of patients.Results:The incidence of accidental events in the observation group was 1.87%, lower than 3.54% in the control group, and the difference was statistically significant ( P<0.05) . Conclusions:The hierarchical management based on a comprehensive quantitative risk assessment can reduce the incidence of accidental risk events in psychiatric inpatients.
3.Effect of nursing based on protective motivation theory on patients with chemotherapy after glioma resection
Yiping LI ; Juan CHEN ; Chaoxiong GU
Chinese Journal of Modern Nursing 2022;28(35):4976-4980
Objective:To explore the effect of nursing based on protective motivation theory in patients with chemotherapy after glioma resection.Methods:From June 2018 to June 2021, 120 patients with chemotherapy after glioma resection were selected from the Oncology Surgery of Jiangsu Taizhou People's Hospital by convenient sampling. The patients were randomly divided into the control group and the observation group with 60 cases each. The control group was given routine nursing, while the observation group carried out nursing based on protective motivation theory on the basis of routine nursing. The scores of the MOS Item Short Form Health Survey (SF-36), Health Promotion Lifestyle Profile-Ⅱ (HPLP-Ⅱ), Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) were compared before and after the intervention.Results:After intervention, the scores of SF-36 and HPLP-Ⅱ in the two groups were higher than those before intervention, and the scores in the observation group were higher than those in the control group, with statistically significant differences ( P<0.05). SDS and SAS scores were lower than those before intervention, and the scores in the observation group were lower than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Nursing based on protective motivation theory can improve the health behavior of patients with chemotherapy after glioma resection, eliminate their negative emotions, and improve their quality of life.
4.Expert Consensus for Thermal Ablation of Pulmonary Subsolid Nodules (2021 Edition).
Xin YE ; Weijun FAN ; Zhongmin WANG ; Junjie WANG ; Hui WANG ; Jun WANG ; Chuntang WANG ; Lizhi NIU ; Yong FANG ; Shanzhi GU ; Hui TIAN ; Baodong LIU ; Lou ZHONG ; Yiping ZHUANG ; Jiachang CHI ; Xichao SUN ; Nuo YANG ; Zhigang WEI ; Xiao LI ; Xiaoguang LI ; Yuliang LI ; Chunhai LI ; Yan LI ; Xia YANG ; Wuwei YANG ; Po YANG ; Zhengqiang YANG ; Yueyong XIAO ; Xiaoming SONG ; Kaixian ZHANG ; Shilin CHEN ; Weisheng CHEN ; Zhengyu LIN ; Dianjie LIN ; Zhiqiang MENG ; Xiaojing ZHAO ; Kaiwen HU ; Chen LIU ; Cheng LIU ; Chundong GU ; Dong XU ; Yong HUANG ; Guanghui HUANG ; Zhongmin PENG ; Liang DONG ; Lei JIANG ; Yue HAN ; Qingshi ZENG ; Yong JIN ; Guangyan LEI ; Bo ZHAI ; Hailiang LI ; Jie PAN
Chinese Journal of Lung Cancer 2021;24(5):305-322
"The Expert Group on Tumor Ablation Therapy of Chinese Medical Doctor Association, The Tumor Ablation Committee of Chinese College of Interventionalists, The Society of Tumor Ablation Therapy of Chinese Anti-Cancer Association and The Ablation Expert Committee of the Chinese Society of Clinical Oncology" have organized multidisciplinary experts to formulate the consensus for thermal ablation of pulmonary subsolid nodules or ground-glass nodule (GGN). The expert consensus reviews current literatures and provides clinical practices for thermal ablation of GGN. The main contents include: (1) clinical evaluation of GGN, (2) procedures, indications, contraindications, outcomes evaluation and related complications of thermal ablation for GGN and (3) future development directions.
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5.Construction and application value of prognosis associated miRNA prediction model based on bioinforma-tics analysis in pancreatic cancer patients
Jiangning GU ; Haifeng LUO ; Chenqi WANG ; Zhen NING ; Jian DU ; Chi MA ; Yunlong CHEN ; Shimeng CUI ; Zhikun LIN ; Yiping LIU ; Guang TAN
Chinese Journal of Digestive Surgery 2020;19(4):421-430
Objective:To construct a prognosis associated micro RNA(miRNA) prediction model based on bioinformatics analysis and evaluate its application value in pancreatic cancer patients.Methods:The retrospective cohort study was conducted. The clinicopathological data of 171 pancreatic cancer patients from the Cancer Genome Atlas (TCGA) (https: //cancergenome.nih.gov/) between establishment of database and September 2017 were collected. There were 93 males and 78 females, aged from 35 to 88 years, with a median age of 65 years. Of the 171 patients, 64 had complete clinicopathological data. Patients were allocated into training dataset consisting of 123 patients and validation dataset consisting of 48 patients using the random sampling method, with a ratio of 7∶3. The training dataset was used to construct a prediction model, and the validation dataset was used to evaluate performance of the prediction model. Nine pairs of miRNA sequencing data (GSE41372) of pancreatic cancer and adjacent tissues were downloaded from Gene Expression Omnibus database. The candidate miRNAs were selected from differentially expressed miRNAs in pancreatic cancer and adjacent tissues for LASSO-COX regression analysis based on the patients of training dataset. A prognosis associated miRNA prediction model was constructed upon survival associated miRNAs which were selected from candidate differentially expressed miRNAs. The performance of prognosis associated miRNA prediction model was validated in training dataset and validation dataset, the accuracy of model was evaluated using the area under curve (AUC) of the receiver operating characteristic curves and the efficiency was evaluated using the consistency index (C-index). Observation indicarors: (1) survival of patients; (2) screening results of differentially expressed miRNAs; (3) construction of prognosis associated miRNA model; (4) validation of prognosis associated miRNA model; (5) comparison of clinicopathological factors in pancreatic cancer patients; (6) analysis of factors for prognosis of pancreatic cancer patients; (7) comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging. Measurement data with normal distribution were represented as Mean± SD, comparison between groups was analyzed by the student- t test, and comparison between multiple groups was analyzed by the AVONA. Measurement data with skewed data were represented as M (range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Ordinal data were analyzed using the rank sum test. Correlation analysis was conducted based on count data to mine the correlation between prognosis associated miRNA model and clinicopathological factors. COX univariate analysis and multivariate analysis were applied to evaluate correlation with the results described as hazard ratio ( HR) and 95% confidence interval ( CI). HR<1 indicated the factor as a protective factor, HR>1 indicated the factor as a risk factor, and HR equal to 1 indicated no influence on survival. The Kaplan-Meier method was used to draw survival curve and calculate survival rates, and the Log-rank test was used for survival analysis. Results:(1) Survival of patients: 123 patients in the training dataset were followed up for 31-2 141 days, with a median follow-up time of 449 days. The 3- and 5-year survival rates were 16.67% and 8.06%. Forty-eight patients in the validation dataset were followed up for 41-2 182 days, with a median follow-up time of 457 days. The 3- and 5-year survival rates were 15.63% and 9.68%. There was no significant difference in the 3- or 5-year survival rates between the two groups ( χ2=0.017, 0.068, P>0.05). (2) Screening results of differentially expressed miRNAs. Results of bioinformatics analysis showed that 102 candidate differentially expressed miRNAs were selected, of which 63 were up-regulated in tumor tissues while 39 were down-regulated. (3) Construction of prognosis associated miRNA model: of the 102 candidate differentially expressed miRNAs, 5 survival associated miRNAs were selected, including miR-21, miR-125a-5p, miR-744, miR-374b, miR-664. The differential expression patterns of pancreatic cancer to adjacent tissues were up-regulation, up-regulation, down-regulation, up-regulation, and down-regulation, respectively, with the fold change of 4.00, 3.43, 3.85, 2.62, and 2.35. A prognostic expression equation constructed based on 5 survival associated miRNAs = 0.454×miR-21 expression level-0.492×miR-125a-5p expression level-0.49×miR-744 expression level-0.419×miR-374b expression level-0.036×miR-664 expression level. (4) Validation of prognosis associated miRNA model: The C-index of prognosis associated miRNA model was 0.643 and 0.642 for the training dataset and validation dataset, respectively. (5) Comparison of clinicopathological factors in pancreatic cancer patients: results of COX analysis showed that the prognosis associated miRNA model was highly related with pathological T stage and location of pancreatic cancer ( Z=45.481, χ2=10.176, P<0.05). (6) Analysis of factors for prognosis of pancreatic cancer patients: results of univariate analysis showed that pathological N stage, radiotherapy, molecular targeted therapy, score of prognosis associated miRNA model were related factors for prognosis pf pancreatic cancer patients ( HR=2.471, 0.290, 0.172, 2.001, 95% CI: 1.012-6.032, 0.101-0.833, 0.082-0.364, 1.371-2.922, P<0.05). Results of multivariate analysis showed that molecular targeted therapy was an independent protective factor for prognosis of pancreatic cancer patients ( HR=0.261, 95% CI: 0.116-0.588, P<0.05) and score of prognosis associated miRNA model≥1.16 was an independent risk factor for prognosis of pancreatic cancer patients ( HR=1.608, 95% CI: 1.091-2.369, P<0.05). (7) Comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging: in the training dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.671, -1.867, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging for 3- and 5-year survival prediction was 0.797, 0.935 and 0.737 , 0.703, with the 95% CI of 0.622-0.972, 0.828-1.042 and 0.571-0.904 , 0.456-0.951. The C-index was 0.643 and 0.534. In the validation dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.729, -1.923, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging was 0.750, 0.873 and 0.721 , 0.703, with the 95% CI of 0.553-0.948, 0.720-1.025 and 0.553-0.889, 0.456-0.950, respectively. The C-index was 0.642 and 0.544. Conclusions:A prognosis associated miRNA prediction model can be constructed based on 5 survival associated miRNAs in pancreatic cancer patients, as a complementation to current TNM staging and other clinicopathological parameters, which provides individual and accurate prediction of survival for reference in the clinical treatment.
6.A consensus on the standardization of the next generation sequencing process for the diagnosis of genetic diseases (1)-Procedures prior to genetic testing
Jian WANG ; Weihong GU ; Hui HUANG ; Yiping SHEN ; Hui XIONG ; Yi HUANG ; Ming QI ; Dongyan AN ; Duan MA ; Xuxu DENG ; Yong GAO ; Xiaodong WANG ; Zaiwei ZHOU ; Jian WU ; Xiong XU ; Wei ZHANG ; Hui KANG ; Zhiyu PENG ; Shihui YU ; Liang WANG ; Shangzhi HUANG
Chinese Journal of Medical Genetics 2020;37(3):334-338
Pre-testing preparation is the basis and starting point of genetic testing.The process includes collection of clinical information,formulation of testing scheme,genetic counseling before testing,and completion of informed consent and testing authorization.To effectively identify genetic diseases in clinics can greatly improve the diagnostic rate of next generation sequencing (NGS),thereby reducing medical cost and improving clinical efficacy.The analysis of NGS results relies,to a large extent,on the understanding of genotype-phenotype correlations,therefore it is particularly important to collect and evaluate clinical phenotypes and describe them in uniform standard terms.Different types of genetic diseases or mutations may require specific testing techniques,which can yield twice the result with half the effort.Pre-testing genetic counseling can help patients and their families to understand the significance of relevant genetic testing,formulate individualized testing strategies,and lay a foundation for follow-up.
7.A consensus on the standardization of the next generation sequencing process for the diagnosis of genetic diseases (2)-Sample collection, processing and detection
Xiufeng ZENG ; Zhenpeng XU ; Hui HUANG ; Wubin QU ; Ian J WU ; Juan WANG ; Yong GAO ; Dongyan AN ; Xiaoqing WANG ; Hui XIONG ; Yiping SHEN ; Ming QI ; Xuxu DENG ; Xiong XU ; Lele SUN ; Zhiyu PENG ; Weihong GU ; Shangzhi HUANG ; Shihui YU
Chinese Journal of Medical Genetics 2020;37(3):339-344
With high accuracy and precision,next generation sequencing (NGS) has provided a powerful tool for clinical testing of genetic diseases.To follow a standardized experimental procedure is the prerequisite to obtain stable,reliable,and effective NGS data for the assistance of diagnosis and/or screening of genetic diseases.At a conference of genetic testing industry held in Shanghai,May 2019,physicians engaged in the diagnosis and treatment of genetic diseases,experts engaged in clinical laboratory testing of genetic diseases and experts from third-party genetic testing companies have fully discussed the standardization of NGS procedures for the testing of genetic diseases.Experts from different backgrounds have provided opinions for the operation and implementation of NGS testing procedures including sample collection,reception,preservation,library construction,sequencing and data quality control.Based on the discussion,a consensus on the standardization of the testing procedures in NGS laboratories is developed with the aim to standardize NGS testing and accelerate implementation of NGS in clinical settings across China.
8.A consensus on the standardization of the next generation sequencing process for the diagnosis of genetic diseases(3)-Data analysis
Jun SUN ; Yi HUANG ; Xiaodong WANG ; Wenfu LI ; Dongyan AN ; Yong GAO ; Hui XIONG ; Zaiwei ZHOU ; Xiong XU ; Xuxu DENG ; Xiaoqing WANG ; Hui HUANG ; Zhiyu PENG ; Wei ZHANG ; Shihui YU ; Liang WANG ; Weihong GU ; Shangzhi HUANG ; Yiping SHEN
Chinese Journal of Medical Genetics 2020;37(3):345-351
Bioinformatic analysis and variant classification are the key components of high-throughput sequencing-based genetic diagnostic approach.This consensus is part of the effort to develop a standardized process for next generation sequencing (NGS)-based test for germline mutations underlying Mendelian disorders in China.The flow-chart,common software,key parameters of bioinformatics pipeline for data processing,annotation,storage and variant classification are reviewed,which is aimed to help improving and maintaining a high-quality process and obtaining consistent outcomes for NGS-based molecular diagnosis.
9.A consensus on the standardization of the next generation sequencing process for the diagnosis of genetic diseases (4)-Report interpretation and genetic counseling
Hui HUANG ; Yiping SHEN ; Weihong GU ; Yi HUANG ; Xiaodong WANG ; Yong GAO ; Hui XIONG ; Zaiwei ZHOU ; Jing WU ; Duan MA ; Dongyan AN ; Wei ZHANG ; Qinmei FU ; Xi XIONG ; Zhiyu PENG ; Liang WANG ; Shangzhi HUANG ; Ming QI
Chinese Journal of Medical Genetics 2020;37(3):352-357
Clinical genetic testing results are compiled into a standardized report by genetic specialists and provided to clinicians and patients (Should the patient be intellectually disabled or under 18,the report will be provided to his/her parents or legal guardians).The content of genetic testing report should conform to relevant guidelines,industry standards and consensus.The decisions of clinicians will be made based on the report and clinical indications.Genetic counselors should provide post-test counseling to clinicians and patients or their authorized family members.A mechanism of follow-up visit after the genetic testing should be established with informed consent.Data should be shared by clinical institutions and genome sequencing institutions.As findings upon follow-up visit can help with further evaluation of the results,genome sequencing institutions should regularly re-analyze historical and follow-up data,and the updated results should be shared with clinical institutions.All activities involving reporting,genetic counselling,follow-up visiting,and re-analyzing should follow the relevant guidelines and regulations.
10.The value of intravesical instillation of Nocardiarubra cell wall skeleton in preventing recurrent after transurethral resection for the treatment of non-muscle invasive bladder cancer
Shunli YU ; Chaohui GU ; Binjie LUO ; Yiping KOU ; Tianyuan ZHAI ; Zhibo JIN ; Zhankui JIA ; Jinjian YANG
Chinese Journal of Urology 2019;40(7):521-525
Objective To investigate the efficacy and safety of Nocardiarubra cell wall skeleton (N-CWS) bladder irrigation in prevention of recurrence after transurethral resection for the treatment of non-muscle invasive bladder cancer (NMIBC).Methods The clinical data of patients with NMIBC treated by N-CWS and epirubicin collected between October 2013 and November 2018 at the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed.All patients underwent TURBT.Among the 118 NMIBC patients,the average age was (65.1 ± 1 1.9) years,and the sex ratio (male/female) was 1.9∶1 (77/41).Patients were divided into two group:N-CWS group (n =55) and epirubicin group (n =63) according to different instillation regimens.N-CWS was given as an instillation of 800 μg in 50 ml of saline and maintained in the bladder for 2 h in the N-CWS group.Epirubicin was given as an instillation of 50 mg in 50 ml of saline and maintained in the bladder for 1 h in the epirubicin group.In the N-CWS group,mean agewas (64.9 ± 12.1) years and 37 (67.3%) were male.Multiple tumors were present in 17 (69.1%) patients.Tumor size was ≤3 cm in 49(89.1%) and 7(12.7%) had a history of NMIBC.Stage was Ta and T1 in 36(65.5%) and 19(34.5%),respectively.Grade 1,Grade 2 and Grade 3 were the primary grades in 38(69.1%),13(23.6%) and 4(7.3%),respectively.Low risk,intermediate risk and high risk were present in 14 patients(25.5%),16 (29.1%) and 25 (45.5%),respectively.In the epirubicin group,mean age was (65.3 ± 11.2) years and 40(63.5%)were male.Multiple tumors were present in 19(30.2%) patients.Tumor size was ≤3 cm in 56(88.9%) and 11 (17.5%) had a history of NMIBC.Stage was Ta and T1 in 37(58.7%) and 26 (41.3%),respectively.Grade 1,Grade 2 and Grade 3 were the primary grades in 44(69.8%),12(19.0%)and 7(11.1%),respectively.Low risk,intermediate risk and high risk were present in 13 (20.6%),19 (30.2%) and 31 (49.2%),respectively.The tumor recurrence,progression and adverse reactions after Intravesical Instillation in both groups were followed up and recorded.No significant differences were found between the two groups.Results A total of 118 patients were followed up.Mean follow-up time was (33.7 ± 5.4) months.25.5% (14/55) in the N-CWS group vs.42.8% (27/63) in the epirubicin group had recurrence after 5 years (x2 =3.922,P =0.048).The five-year RFS was higher in the N-CWS group than in the epirubicin group (74.2% vs.56.5%,P =0.044).No significant difference was found in the progression rate between the two groups(5.5% vs.7.9%,P =0.867).The incidences of adverse events in the two groups were 16.4% (9/55) and 19.0% (12/63),respectively.The N-CWS group had significantly fewer cases with urinary frequency and dysuria than the epirubicin group.No significant differences were found in other side effects.Conclusions Intravesical instillation of N-CWS after NMIBC TURBT was found to be a promising procedure to prevent recurrence and prolong the recurrence-free survival with less side effects.

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