1.Analysis of Delayed Hemolytic Transfusion Reaction in Children with Repeated Blood Transfusion.
Li-Lan GAO ; Meng-Xing LYU ; Shu-Xia WANG ; Xiao-Hong JIN ; Jian-Xiang LIU ; Mei-Kun HU ; Ke-Xuan QU
Journal of Experimental Hematology 2025;33(1):217-223
OBJECTIVE:
To summarize and analyze the characteristics of delayed hemolytic transfusion reaction in children, in order to provide a scientific basis for clinical prevention, and ensure the safety of children's blood transfusion.
METHODS:
The basic situation, clinical symptoms and signs, diagnosis time and disappearance time of alloantibody of delayed hemolytic transfusion reaction in children were retrospectively analyzed. The serological test, routine blood test, biochemical detection and urine analysis results were compared pre- and post-transfusion.
RESULTS:
Among 15 164 children with repeated blood transfusion, 23 cases occurred delayed hemolytic transfusion reactions, with an incidence rate of 0.15%, and mainly children with thalassemia and acute leukemia. 39.13% of delayed hemolytic reactions occurred in children with more than 20 times of blood transfusions. Anemia was the main clinical symptom in 86.96% of children. 4.35% of children had hypotension and dyspnea. Serological test results showed that the positive rate of direct antiglobulin test was 91.30%, and that of erythrocyte homologous antibody test was 100%. Erythrocyte alloantibodies were common in Rh and Kidd blood group systems, accounting for 73.91% and 13.04%, respectively. Laboratory test results showed that hemoglobin, reticulocyte, spherocyte, total bilirubin, indirect bilirubin, lactate dehydrogenase, serum ferritin and urine color were significantly different after transfusion compared with those before transfusion (all P <0.05). The average diagnosis time of delayed hemolytic transfusion reactions was 18.56 days, and the average disappearance time of erythrocyte alloantibodies was 118.43 days.
CONCLUSION
The incidence of delayed hemolytic transfusion reaction is high in children with repeated blood transfusion, and the disappearance time of erythrocyte homologous antibody is long. Blood matched ABO, Rh and Kidd blood group antigens should be transfused prophylactically. Once diagnosed, erythrocyte alloantibody corresponding to antigen-negative blood should be used throughout the whole process.
Humans
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Child
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Retrospective Studies
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Child, Preschool
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Transfusion Reaction
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Male
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Female
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Infant
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Adolescent
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Isoantibodies/blood*
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Blood Transfusion
2.The Valvular Heart Disease-specific Age-adjusted Comorbidity Index (VHD-ACI) score in patients with moderate or severe valvular heart disease.
Mu-Rong XIE ; Bin ZHANG ; Yun-Qing YE ; Zhe LI ; Qing-Rong LIU ; Zhen-Yan ZHAO ; Jun-Xing LV ; De-Jing FENG ; Qing-Hao ZHAO ; Hai-Tong ZHANG ; Zhen-Ya DUAN ; Bin-Cheng WANG ; Shuai GUO ; Yan-Yan ZHAO ; Run-Lin GAO ; Hai-Yan XU ; Yong-Jian WU
Journal of Geriatric Cardiology 2025;22(9):759-774
BACKGROUND:
Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD.
METHODS & RESULTS:
The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology.
CONCLUSION
The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.
3.Discovery and proof-of-concept study of a novel highly selective sigma-1 receptor agonist for antipsychotic drug development.
Wanyu TANG ; Zhixue MA ; Bang LI ; Zhexiang YU ; Xiaobao ZHAO ; Huicui YANG ; Jian HU ; Sheng TIAN ; Linghan GU ; Jiaojiao CHEN ; Xing ZOU ; Qi WANG ; Fan CHEN ; Guangying LI ; Chaonan ZHENG ; Shuliu GAO ; Wenjing LIU ; Yue LI ; Wenhua ZHENG ; Mingmei WANG ; Na YE ; Xuechu ZHEN
Acta Pharmaceutica Sinica B 2025;15(10):5346-5365
Sigma-1 receptor (σ 1R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K i < 4 nmol/L) and selective σ 1R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ 1R in relation to σ 2R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ 1R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.
4.Investigation of metabolites of 2-methyl-dechloroketamine in vitro
Jun-hui RU ; Feng HUANG ; Hao WU ; Min-hao WANG ; Xing KE ; Jian-hong GAO ; Yi-lei FAN
Acta Pharmaceutica Sinica 2024;59(5):1357-1363
The abuse of novel phenylcyclohexylpyridine drugs poses a significant threat to societal safety. The novel psychoactive substance 2-methyl-deschloroketamine (2-MDCK), belonging to the phenylcyclohexylpyridine class, has recently surfaced as a new compound. However, there is a lack of understanding regarding its metabolic pathways and the identification of suitable biomarkers. In this study, a human liver microsomal model was established, and ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) technology was applied to investigate the
5.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.
6.Clinical trial of pegylated losenatide in the treatment of obese patients with type 2 diabetes mellitus undergoing axial gastrectomy
Jing-Feng GU ; Hai-Xia LIU ; Feng FENG ; Jian ZHANG ; Dong-Yang XING ; Hao-Wen GAO ; Gui-Qi WANG
The Chinese Journal of Clinical Pharmacology 2024;40(3):330-334
Objective To observe the effects of pegylated losenatide injection combined with metformin tablets on serum metabolism,lipid levels and intestinal flora in obese type 2 diabetes mellitus(T2DM)patients after axial gastrectomy.Methods Obese T2DM patients who underwent axial gastrectomy were divided into treatment group and control group by cohort methods.The control group was treated with metformin hydrochloride tablet 0.5 g orally,tid.The treatment group was treated by subcutaneous injection of pegylated losenatide injection 0.2 mg once a week on the basis of control group.Both groups were treated continuously for 3 months.Body mass index(BMI),serum metabolic indexes,blood lipid levels,blood glucose levels,intestinal flora and adverse drug reactions were compared between the two groups.Results In this study,a total of 70 subjects were included in the treatment group,and 50 subjects were included in the control group.After three months of treatment,the BMI indices of the treatment and control groups were(26.35±2.36)and(29.34±3.59)kg·m-2,respectively;the glutathione peroxidase levels were(192.42±13.18)and(134.27±12.86)U;interleukin-6 levels were(6.14±1.78)and(7.65±2.09)μg·L-1;fasting blood glucose levels were(5.36±0.41)and(7.43±0.78)mmol·L-1;total cholesterol levels were(2.55±0.67)and(3.47±0.79)mmol·L-1 for the treatment and control groups,respectively.The levels of Bifidobacteria,Bacteroides,Lactobacilli,Enterobacteria,and Enterococci in the treatment group were(8.79±1.36),(9.62±1.37),(6.74±2.15),(7.98±0.61),and(7.23±1.29)logN·g-1,respectively;in the control group,these levels were(7.98±1.79),(8.13±1.45),(5.71±2.41),(9.21±0.88),and(8.15±1.54)logN·g-1.The differences in the above indicators between the treatment and control groups were statistically significant(all P<0.05).The main adverse drug reactions in the treatment group included nausea,headache,dizziness,elevated blood pressure,and indigestion.In the control group,the main adverse drug reactions were nausea,headache,and indigestion.The total incidence of adverse drug reactions in the treatment and control groups was 8.57%and 6.00%,respectively,with no statistically significant difference(P>0.05).Conclusion Pegylated losenatide injection combined with metformin tablets has a significant effect on axial gastrectomy in obese type 2 diabetes patients.
7.A prospective study on the expansion rule of the directional skin and soft tissue expander in abdominal scar reconstruction.
Ji Dong XUE ; Yan LIANG ; Pei Peng XING ; Hai Ping DI ; Jian ZHANG ; Gao Yuan YANG ; Cheng De XIA
Chinese Journal of Burns 2023;39(2):150-157
Objective: To observe the expansion rule of directional skin and soft tissue expander (hereinafter referred to as expander) in abdominal scar reconstruction. Methods: A prospective self-controlled study was conducted. Twenty patients with abdominal scar who met the inclusion criteria and admitted to Zhengzhou First People's Hospital from January 2018 to December 2020 were selected by random number table method, including 5 males and 15 females, aged 12-51 (31±12) years, with 12 patients of type Ⅰ scar and 8 patients of type Ⅱ scar. In the first stage, two or three expanders with rated capacity of 300-600 mL were placed on both sides of the scar, of which at least one expander had rated capacity of 500 mL (as the follow-up observation object). After the sutures were removed, water injection treatment was started, with the expansion time of 4 to 6 months. After the water injection volume reached 2.0 times of the rated capacity of expander, abdominal scar excision+expander removal+local expanded flap transfer repair was performed in the second stage. The skin surface area at the expansion site was measured respectively when the water injection volume reached 1.0, 1.2, 1.5, 1.8, and 2.0 times of the rated capacity of expander, and the skin expansion rate of the expansion site at corresponding multiples of expansion (1.0, 1.2, 1.5, 1.8, and 2.0 times) and adjacent multiple intervals (1.0-1.2, 1.2-1.5, 1.5-1.8, and 1.8-2.0 times) were calculated. The skin surface area of the repaired site at 0 (immediately), 1, 2, 3, 4, 5, and 6 months after operation, and the skin shrinkage rate of the repaired site at different time points (1, 2, 3, 4, 5, and 6 months after operation) and different time periods (0-1, 1-2, 2-3, 3-4, 4-5, and 5-6 months after operation) were calculated. Data were statistically analyzed with analysis of variance for repeated measurement and least significant difference-t test. Results: Compared with the expansion of 1.0 time ((287.6±2.2) cm2 and (47.0±0.7)%), the skin surface area and expansion rate of the expansion site of patients ((315.8±2.1), (356.1±2.8), (384.9±1.6), and (386.2±1.5) cm2, (51.7±0.6)%, (57.2±0.6)%, (60.4±0.6)%, and (60.5±0.6)%) were significantly increased when the expansion reached 1.2, 1.5, 1.8, and 2.0 times (with t values of 46.04, 90.38, 150.14, 159.55, 45.11, 87.83, 135.82, and 118.48, respectively, P<0.05). Compared with the expansion of 1.2 times, the skin surface area and expansion rate of the expansion site of patients were significantly increased when the expansion reached 1.5, 1.8, and 2.0 times (with t values of 49.82, 109.64, 122.14, 144.19, 49.51, and 105.85, respectively, P<0.05). Compared with the expansion of 1.5 times, the skin surface area and expansion rate of the expansion site of patients were significantly increased when the expansion reached 1.8 times (with t values of 38.93 and 39.22, respectively, P<0.05) and 2.0 times (with t values of 38.37 and 38.78, respectively, P<0.05). Compared with the expansion of 1.8 times, the skin surface area and expansion rate of the expansion site of patients both had no statistically significant differences when the expansion reached 2.0 times (with t values of 4.71 and 4.72, respectively, P>0.05). Compared with the expansion of 1.0-1.2 times, the skin expansion rate of the expansion site of patient was significantly increased when the expansion reached 1.2-1.5 times (t=6.95, P<0.05), while the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.5-1.8 and 1.8-2.0 times (with t values of 5.89 and 40.75, respectively, P<0.05). Compared with the expansion of 1.2-1.5 times, the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.5-1.8 and 1.8-2.0 times (with t values of 10.50 and 41.92, respectively, P<0.05). Compared with the expansion of 1.5-1.8 times, the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.8-2.0 times (t=32.60, P<0.05). Compared with 0 month after operation, the skin surface area of the repaired site of patient at 1, 2, 3, 4, 5, and 6 months after operation was significantly decreased (with t values of 61.66, 82.70, 96.44, 102.81, 104.51, and 102.21, respectively, P<0.05). Compared with 1 month after operation, the skin surface area of the repaired site of patient was significantly decreased at 2, 3, 4, 5, and 6 months after operation (with t values of 37.37, 64.64, 69.40, 72.46, and 72.62, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 32.29, 50.00, 52.67, 54.76, and 54.62, respectively, P<0.05). Compared with 2 months after operation, the skin surface area of the repaired site of patient was significantly decreased at 3, 4, 5, and 6 months after operation (with t values of 52.41, 60.41, 70.30, and 65.32, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 52.97, 59.29, 69.68, and 64.50, respectively, P<0.05). Compared with 3 months after operation, the skin surface area of the repaired site of patient was significantly decreased at 4, 5, and 6 months after operation (with t values of 5.53, 38.00, and 38.52, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 25.36, 38.59, and 37.47, respectively, P<0.05). Compared with 4 months after operation, the skin surface area (with t values of 41.10 and 50.50, respectively, P>0.05) and skin shrinkage rate (with t values of 48.09 and 50.00, respectively, P>0.05) of the repaired site of patients at 5 and 6 months after operation showed no statistically significant differences. Compared with 5 months after operation, the skin surface area and skin shrinkage rate of the repaired site of patient at 6 months after operation showed no statistically significant differences (with t values of 9.40 and 9.59, respectively, P>0.05). Compared with 0-1 month after operation, the skin shrinkage rate of the repaired site of patient at 1-2, 2-3, 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 13.56, 40.00, 49.21, 53.97, and 57.68, respectively, P<0.05). Compared with 1-2 months after operation, the skin shrinkage rate of the repaired site of patients at 2-3, 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 12.37, 27.72, 30.16, and 31.67, respectively, P<0.05). Compared with 2-3 months after operation, the skin shrinkage rate of the repaired site of patients at 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 33.73, 41.31, and 54.10, respectively, P<0.05). Compared with 3-4 months after operation, the skin shrinkage rate of the repaired site of patient at 4-5 and 5-6 months after operation showed no statistically significant differences (with t values of 10.90 and 23.60, respectively, P>0.05). Compared with 4-5 months after operation, the skin shrinkage rate of the repaired site of patient at 5-6 months after operation showed no statistically significant difference (t=20.90, P>0.05). Conclusions: The expander can effectively expand the abdominal skin, thus repairing the abdominal scar deformity. Maintained expansion for one month after the water injection expansion reaches 1.8 times of the rated capacity of the expander can be set as a phase Ⅱ operation node.
Female
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Male
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Humans
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Cicatrix/surgery*
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Prospective Studies
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Tissue Expansion Devices
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Skin
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Abdominal Wall
8.Screening and expression analysis of transcription factors involved in genuineness of Codonopsis pilosula in Shanxi.
Yu-Jia ZHAI ; Jun-Li DAI ; Xing LIU ; Xing-Rui TIAN ; Jiao-Jiao JI ; Jian-Ping GAO
China Journal of Chinese Materia Medica 2023;48(21):5779-5789
This study aims to mine the transcription factors that affect the genuineness of Codonopsis pilosula in Shanxi based on the transcriptome data of C. pilosula samples collected from Shanxi and Gansu, and then analyze the gene expression patterns, which will provide a theoretical basis for the molecular assisted breeding of C. pilosula. Gene ontology(GO) functional annotation, conserved motif prediction, and gene expression pattern analysis were performed for the differential transcription factors predicted based on the transcriptome data of C. pilosula from different habitats. A total of 61 differentially expressed genes(DEGs) were screened out from the transcriptome data. Most of the DEGs belonged to AP2/ERF-ERF family, with the conserved motif of [2X]-[LG]-[3X]-T-[3X]-[AARAYDRAA]-[3X]-[RG]-[2X]-A-[2X]-[NFP]. Forty-three of the DEGs showed significantly higher gene expression in C. pilosula samples from Shanxi than in the samples from Gansu, including 11 genes in the AP2/ERF-ERF family, 5 genes in the NAC fa-mily, 1 gene in the bHLH family, and 2 genes in the RWP-RK family, while 18 transcription factors showed higher expression levels in the samples from Gansu. GO annotation predicted that most of the DEGs were enriched in GO terms related to transcriptional binding activity(103), metabolic process(26), and stress response(23). The expression of transcription factor genes, CpNAC92, CpNAC100, CpbHLH128, and CpRAP2-7 was higher in the samples from Shanxi and in the roots of C. pilosula. CpNAC92, CpbHLH128, and CpRAP2-7 responded to the low temperature, temperature difference, and iron stresses, while CpNAC100 only responded to low temperature and iron stresses. The screening and expression analysis of the specific transcription factors CpNAC92, CpNAC100, CpbHLH128, and CpRAP2-7 in C. pilosula in Shanxi laid a theoretical foundation for further research on the mechanism of genuineness formation of C. pilosula.
Codonopsis/chemistry*
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Transcription Factors/genetics*
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Gene Expression Profiling
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Transcriptome
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Iron
9.Development and validation of a score predicting mortality for older patients with mitral regurgitation.
De-Jing FENG ; Yun-Qing YE ; Zhe LI ; Bin ZHANG ; Qing-Rong LIU ; Wei-Wei WANG ; Zhen-Yan ZHAO ; Zheng ZHOU ; Qing-Hao ZHAO ; Zi-Kai YU ; Hai-Tong ZHANG ; Zhen-Ya DUAN ; Bin-Cheng WANG ; Jun-Xing LV ; Shuai GUO ; Run-Lin GAO ; Hai-Yan XU ; Yong-Jian WU
Journal of Geriatric Cardiology 2023;20(8):577-585
OBJECTIVE:
To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score.
METHODS:
The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion.
RESULTS:
Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m2, NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m2, albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, P < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, P < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 vs. 0.70, net reclassification improvement = 0.320, P < 0.01; integrated discrimination improvement = 0.029, P < 0.01).
CONCLUSIONS
The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.
10.Clinical study of the relationship between cellular adhesion molecules and left ventricular geometry and function in patients with obstructive sleep apnea syndrome and prehypertension
Xueqing XING ; Jian WANG ; Shanshan GE ; Yaodong CHEN ; Kun XU ; Yiying LI ; Meifang HAO ; Jingxuan ZHANG ; Feng GAO
Chinese Journal of Ultrasonography 2023;32(4):303-310
Objective:To investigate the correlations between serum E selectin, intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1) and left ventricular geometry and function in patients with obstructive sleep apnea syndrome (OSAS) combined with prehypertension (pre-HT).Methods:A total of 462 patients with pre-HT and OSAS diagnosed by polysomnography (PSG) in the sleep monitoring unit of the Department of Respiratory and Critical Care Medicine at the First Hospital of Shanxi Medical University from July 2019 to July 2022 were restrospectively analysed, and 52 patients with pure pre-HT (pre-HT group) and 73 patients with pure OSAS (OSAS group) in the same period were selected as the control group. OSAS and pre-HT patients were divided into four groups according to left ventricular geometry: normal geometry (NG) group, concentric remodeling (CR) group, eccentric hypertrophy (EH) group and concentric hypertrophy (CH) group. The general clinical data, PSG parameters, blood biochemical parameters and left ventricular structure and function parameters were compared among the six groups. Pearson correlation and multivariate Logistic regression were used to analyze the correlation between E-selection, ICAM-1, VCAM-1, general clinical data, PSG parameters, blood biochemical parameters with left ventricular geometry and function.Results:①Serum E selectin, ICAM-1, and VCAM-1 concentrations increased sequentially from the NG, CR, and EH to CH groups, with the most significant increase in CH group (all P<0.05). In addition, there were statistically significant differences in age, body mass index (BMI), OSAS severity, neck circumference, waist circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), Glu, lowest oxygen saturation (Lowest-SaO 2), mean oxygen saturation (Mean-SaO 2), percentage of time with oxygen saturation below 90% of total sleep time (T90), left ventricular end-diastolic diameter (LVEDd), interventricular septal thickness (IVST), left ventricular posterior wall thickness (LVPWT), left ventricular mass index (LVMI), relative ventricular wall thickness (RWT), left ventricular ejection fraction (LVEF), peak mitral early diastolic flow velocity/peak mitral late diastolic flow velocity (E/A), E wave deceleration time (DT), A wave duration (AD), and isovolumic relaxation time (IVRT), and overall long-axis longitudinal strain (GLS) and so on(all P<0.05). ②Pearson correlation analysis showed that E selectin was negatively correlated with LVEF, E/A, e′, E/e′, IVRT, and GLS ( r=-0.236, -0.131, -0.224, -0.215, -0.285, -0.336; all P<0.05). ICAM-1 was negatively correlated with LVEF, E, E/A, e′, IVRT, and GLS( r=-0.130, -0.129, -0.104, -0.351, -0.252, -0.259; all P<0.05). VCAM-1 was negatively correlated with E, e′, and IVRT ( r=-0.132, -0.312, -0.387; all P<0.001). ③Multifactorial logistic regression analysis showed that E selectin and VCAM-1 were independently correlated with EH (β=1.139, OR=3.124, P=0.030; β=1.288, OR=3.626, P<0.001) and with CH (β=1.178, OR=3.248, P=0.013; β=1.108, OR=3.028, P<0.001). Conclusions:E selection and VCAM-1 were independently correlated with hypertrophic left ventricular geometry, suggesting that E selectin and VCAM-1 may be involved in the process of abnormal left ventricular structure and function in patients with OSAS combined with pre-HT.

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