1.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
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Drugs, Chinese Herbal/administration & dosage*
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Machine Learning
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Algorithms
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Humans
;
Quality Control
2.Drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma and dynamics of active components in drying process.
Yu-Qin LI ; Xiu-Xiu SHA ; Zhe ZHANG ; Shu-Lan SU ; Liang NI ; Sheng GUO ; Hui YAN ; Da-Wei QIAN ; Jin-Ao DUAN
China Journal of Chinese Materia Medica 2025;50(1):128-139
This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry*
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Desiccation/methods*
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Drugs, Chinese Herbal/chemistry*
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Rhizome/chemistry*
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Kinetics
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Quality Control
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Abietanes
3.Association between insulin resistance and uterine volume in girls with idiopathic central precocious puberty.
Hong-Ru ZHANG ; Ya XIAO ; Shu-Qin JIANG ; Jun SUN ; Wen-Hui SHI ; Jin-Bo LI ; Ying YANG ; Wei WANG
Chinese Journal of Contemporary Pediatrics 2025;27(4):404-409
OBJECTIVES:
To investigate the association between insulin resistance and uterine volume in girls with idiopathic central precocious puberty (ICPP).
METHODS:
A retrospective study was conducted involving 61 girls diagnosed with ICPP who visited the pediatric growth and development clinic of the Third Affiliated Hospital of Zhengzhou University between January 2022 and September 2024, designated as the ICPP group, and 61 normally developing girls as the control group. The differences in insulin resistance index (homeostasis model assessment of insulin resistance, HOMA-IR), uterine volume, and other indicators between the two groups were compared, and the relationship between insulin resistance and uterine volume in these girls was analyzed.
RESULTS:
The uterine volume and HOMA-IR level in the ICPP group were significantly higher than those in the control group (P<0.05). Correlation analysis revealed that there was a positive correlation between HOMA-IR level and uterine volume in the ICPP group (rs=0.643, P<0.001). Multiple linear regression analysis indicated that as HOMA-IR increased,uterine volume in the girls tended to increase (P<0.05).
CONCLUSIONS
There is an association between insulin resistance and uterine volume in girls with ICPP, and as HOMA-IR increases, uterine volume in the girls also increases.
Humans
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Female
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Insulin Resistance
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Puberty, Precocious/metabolism*
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Uterus/pathology*
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Child
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Retrospective Studies
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Organ Size
;
Linear Models
4.Exploring the causal relationship between leukocyte telomere length and prostatitis, orchitis, and epididymitis based on a two-sample Mendelian randomization.
Dan-Yang LI ; Shun YU ; Bo-Hui YANG ; Jun-Bao ZHANG ; Guo-Chen YIN ; Lin-Na WU ; Qin-Zuo DONG ; Jin-Long XU ; Shu-Ping NING ; Rong ZHAO
National Journal of Andrology 2025;31(4):306-312
OBJECTIVE:
To investigate the genetic causal relationship of leukocyte telomere length (LTL) with prostatitis, orchitis and epididymitis by two-sample Mendelian randomization (MR).
METHODS:
Using LTL as the exposure factor and prostatitis, orchitis and epididymitis as outcome factors, we mined the Database of Genome-Wide Association Studies (GWAS). Then, we analyzed the causal relationship of LTL with prostatitis, orchitis and epididymitis by Mendelian randomization using inverse variance weighting (IVW) as the main method and weighted median and MR-Egger regression as auxiliary methods, determined the horizontal multiplicity by MR-Egger intercept test, and conducted sensitivity analysis using the leaving-one-out method.
RESULTS:
A total of 121 related single nucleotide polymorphisms (SNPs) were identified in this study. IVW showed LTL to be a risk factor for prostatitis (OR = 1.383, 95% CI: 1.044-1.832, P = 0.024), and for orchitis and epididymitis as well (OR = 1.770, 95% CI: 1.275-2.456, P = 0.000 6).
CONCLUSION
Genetic evidence from Mendelian randomized analysis indicates that shortening of LTL reduces the risk of prostatitis, orchitis and epididymitis.
Humans
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Male
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Mendelian Randomization Analysis
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Epididymitis/genetics*
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Prostatitis/genetics*
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Polymorphism, Single Nucleotide
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Leukocytes
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Orchitis/genetics*
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Genome-Wide Association Study
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Telomere
;
Risk Factors
5.Association between the non-treatment threshold or upper limit of normal of alanine aminotransferase and liver pathological injury in patients with chronic hepatitis B virus infection and a persistently low level of alanine aminotransferase
Ming SHU ; Suwen JIANG ; Airong HU ; Qin CHEN ; Jialan WANG ; Menghan JIN ; Haojin ZHANG ; Shiqi YANG ; Shiyang FAN
Journal of Clinical Hepatology 2025;41(10):2044-2053
ObjectiveTo investigate the significance of different non-treatment thresholds or upper limits of normal (ULN) of alanine aminotransferase (ALT) in evaluating significant liver pathological injury in patients with chronic hepatitis B virus (HBV) infection, and to provide guidance for clinical diagnosis and treatment. MethodsThis study was conducted among 733 patients with chronic HBV infection who were hospitalized in Ningbo No. 2 Hospital from January 2015 to December 2023 and underwent liver biopsy and histopathological examination, and all patients had a persistent ALT level of ≤40 U/L and positive HBV DNA (>30 IU/mL). According to the treatment threshold or ULN of ALT, the patients were divided into group 1 with 575 patients (≤35 U/L for male patients, ≤25 U/L for female patients), group 2 with 430 patients (≤30 U/L for male patients, ≤19 U/L for female patients), group 3 with 443 patients (≤27 U/L for male patients, ≤24 U/L for female patients), group 4 with 446 patients (≤25 U/L), group 5 with 158 patients (>35 U/L for male patients, >25 U/L for female patients), and group 6 with 145 patients (>30 — ≤35 U/L for male patients, >19 — ≤25 U/L for female patients). Groups 2, 5, and 6 were compared to analyze the severity of liver pathological injury in patients with different ALT levels and the constituent ratio of patients with significant liver pathological injury, and groups 1, 2, 3, and 4 were compared to investigate the value of different ULN or non-treatment thresholds of ALT in determining liver inflammation grade (G), liver fibrosis stage (S), and the treatment indication based on liver pathology. The independent-samples t test was used for comparison of normally distributed continuous data between two groups; a one-way analysis of variance was used for comparison between multiple groups, and the least significant difference t-test or the Tambane’s test was used for further comparison between two groups; the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups; a Ridit analysis was used for comparison of ranked data. A multivariate Logistic regression analysis (forward stepwise) was performed with whether liver pathology met the treatment indication (≥G2 and/or ≥S2) as the dependent variable and related factors with a significant impact on the dependent variable (P <0.05) as the independent variable. The receiver operating characteristic (ROC) curve was plotted, and the area under the ROC curve (AUC), as well as sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio, was used to assess the diagnostic value of different non-treatment thresholds of ALT. ResultsAmong the 733 patients, 259 (35.33%) had ≥G2 liver inflammation, 211 (28.79%) had ≥S2 liver fibrosis, and 306 (41.75%) had treatment indication (≥G2 and/or ≥S2). There was a significant difference in liver inflammation grade (G0 — G4) between groups 2, 5, and 6 (χ2=22.869, P <0.001), and there were also significant differences in the constituent ratios of patients with ≥G2 or ≥G3 liver inflammation between the three groups (χ2=21.742 and 14.921, P<0.001 and P=0.001). There was a significant difference in liver fibrosis stage (S0 — S4) between groups 2, 5, and 6 (χ2=16.565, P<0.001), and there were also significant differences in the constituent ratios of patients with ≥S2, ≥S3 or S4 liver fibrosis between the three groups (χ2=13.264, 13.050, and 6.260, P=0.001, 0.001, and 0.044). There were significant differences between groups 2, 5, and 6 in the constituent ratios of patients with or without treatment indication based on liver pathology (χ2=20.728, P<0.001). There were significant differences between groups 2, 5, and 6 in the constituent ratio of male patients (χ2=24.836, P<0.05), age (F=5.710, P<0.05), ALT (F=473.193, P<0.05), aspartate aminotransferase (AST) (F=107.774, P<0.05), ALT/AST ratio (F=40.167, P<0.05), γ-glutamyl transpeptidase (GGT) (H=15.463, P<0.05), aspartate aminotransferase-to-platelet ratio index (APRI) (H=63.024, P<0.05), and LIF-5 (5 indicators for liver inflammation and fibrosis) (H=46.397, P<0.05). In groups 1 — 4, compared with the patients without treatment indication, the patients with treatment indication had a significantly lower constituent ratio of patients with positive HBeAg, significantly lower levels of platelet count (PLT) and HBV DNA, and significantly higher age, ALT, AST, GGT, APRI, FIB-4, and LIF-5 (all P<0.05). The Logistic regression analysis showed that age (odds ratio [OR]=1.044, 95% confidence interval [CI]: 1.025 — 1.063, P<0.001), GGT (OR=1.022, 95%CI: 1.007 — 1.038, P=0.003), and HBV DNA (OR=0.839, 95%CI: 0.765 — 0.919, P<0.001) were influencing factors for treatment indication based on liver pathology in group 1; HBeAg (OR=1.978, 95%CI: 1.269 — 3.082, P=0.003), age (OR=1.048, 95%CI: 1.025 — 1.071, P<0.001), GGT (OR=1.016, 95%CI: 1.001 — 1.031, P=0.041), and PLT (OR=0.995, 95%CI: 0.991 — 1.000, P=0.049) were influencing factors in group 2; age (OR=1.040, 95%CI: 1.014 — 1.066, P=0.002), ALT (OR=1.047, 95%CI: 1.005 — 1.092, P=0.029), HBV DNA (OR=0.817, 95%CI: 0.736 — 0.907, P<0.001), and LIF-5 (OR=7.382, 95%CI: 1.151 — 47.330, P=0.035) were influencing factors in group 3; age (OR=1.054, 95%CI: 1.031 — 1.077, P<0.001), ALT (OR=1.061, 95%CI: 1.016 — 1.107, P=0.008), and HBV DNA (OR=0.825, 95%CI: 0.743 — 0.917, P<0.001) were influencing factors in group 4. The diagnostic performance for identifying ≥G2 liver inflammation, ≥S2 liver fibrosis, and treatment indication in groups 1 — 4 had an AUC of >0.7; group 1 showed the lowest sensitivity (28.76%) and the highest specificity, positive predictive value, positive likelihood ratio, and negative likelihood ratio in judging treatment indication; group 2 had the highest sensitivity and negative predictive value and the lowest negative likelihood ratio; groups 3 and 4 had similar diagnostic indicators. ConclusionIn patients with chronic HBV infection and a persistently low ALT level, the severity of liver histopathological injury and the constituent ratio of significant liver histopathological injury decrease with the reduction in ALT level. A higher non-treatment threshold or ULN of ALT can help to identify the patients requiring treatment (with a higher specificity), while a lower non-treatment threshold or ULN of ALT can help to identify the patients who do not require treatment (with a higher sensitivity).
6.A multicenter retrospective cohort study on the attributable risk of patients with Acinetobacter baumannii sterile body fluid infection
Lei HE ; Dao-Bin JIANG ; Ding LIU ; Xiao-Fang ZHENG ; He-Yu QIU ; Shu-Mei WU ; Xiao-Ying WU ; Jin-Lan CUI ; Shou-Jia XIE ; Qin XIA ; Li HE ; Xi-Zhao LIU ; Chang-Hui SHU ; Rong-Qin LI ; Hong-Ying TAO ; Ze-Fen CHEN
Chinese Journal of Infection Control 2024;23(1):42-48
Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3%,and that of non-infected group was 23.1%,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2%(95%CI:-2.3%-22.8%).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P>0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P>0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.
7.Efficacy and safety of switching to flumatinib in patients with chronic myeloid leukemia who have not achieved optimal response or are intolerant to TKI treatment
Songfan YANG ; Qin WEN ; Ying ZHANG ; Jinglong LYU ; Hua'e SHU ; Hongju YAN ; Cheng ZHANG ; Jin WEI ; Xi ZHANG
Journal of Army Medical University 2024;46(4):340-346
Objective To observe the efficacy and safety of flumatinib conversion in chronic myelogenous leukemia-chronicphase(CML-CP)patients with suboptimal TKI response or intolerance.Methods Patients who did not have the best response or intolerance to first-line imatinib,dasatinib,and nilotinib and switched to flumatinib(600 mg/d)from February 2020 to August 2022 were collected from 5 hospitals from Chongqing and affiliated hospitals of North Sichuan Medical College.The efficacy and safety of flumatinib were observed.The optimal response rate,major molecular response(MMR),cumulative complete cytogenetic response(CCyR)rate,cumulative MMR rate,cumulative deep molecular response(DMR),progression-free survival(PFS),event-free survival(EFS)and adverse reactions in 3,6 and 12 months after treatment were observed and analyzed.Results A total of 100 patients with CML-CP were enrolled,with a median follow-up of 18(3~36)months.The optimal response rate was 92.6%(88/95),94.4%(85/90)and 92.9%(79/85)respectively,at 3,6 and 12 months after treatment.Till August 20,2023,the cumulative CCyR and MMR rate was 98.0%(98/100)and 81.9%(77/94),respectively,the median time to reach CCyR and MMR was 3 months,and cumulative DMR rate was 51.0%(51/100).PFS rate was 100.0%(100/100)and 1-year EFS rate was 85.6%(75/90).The most common non-hematologic adverse reactions of flumatinib were diarrhea and abdominal pain(7.0%),followed by renal dysfunction(6.0%)and musculoskeletal pain(2.0%).The main hematologic adverse reactions were thrombocytopenia(12.0%),anemia(6.0%)and leukopenia(2.0%).Conclusion Flumatinib has better MMR and DMR and is well tolerated in CML-CP patients with TKI resistance or intolerance.
8.Data Mining of Medication Rules for the Treatment of Atopic Dermatitis the Children by Chinese Medical Master XUAN Guo-Wei
Jin-Dian DONG ; Cheng-Cheng GE ; Yue PEI ; Shu-Qing XIONG ; Jia-Fen LIANG ; Qin LIU ; Xiu-Mei MO ; Hong-Yi LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):752-758
Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency>100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.
9.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.
10.Diagnosis and treatment of 18 cases of Chiari malformation with hoarseness.
Yu Bo SUN ; Hai Xia WEI ; Shu Xiang JIN ; Min CHEN ; Zuo Rong QIN ; Wen Hui PANG ; Yi WANG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(3):256-260
Objective: To investigate the diagnosis and treatment of Chiari malformation patients with hoarseness and other otorhinolaryngological symptoms. Methods: The clinical data of 18 patients of Chiari malformation with hoarseness were retrospectively collected, which was composed of 5 men and 13 women, aged 3-71 with median age of 52. All the patients were admitted to the Affiliated Hospital of Qingdao University from January 1989 to January 2020. All patients underwent brain MRI and laryngoscopy. The patient's symptoms and first diagnosis department, diagnosis time, total course of disease, hoarseness course, diagnosis and treatment, and postoperative recovery time were summarized. Follow-up time was 3-16 years, with median follow-up time of 6.5 years. Descriptive methods were used for analysis. Results: The first visit departments of 18 patients included neurology (9 cases), otorhinolaryngology head and neck surgery (5 cases), pediatrics (2 cases), orthopedics (1 case) and respiratory department (1 case). Except for the 7 cases in neurology department, the other 11 patients were not diagnosed in time. The disease duration of 18 patients with Chiari malformation ranged from 2 months to 5 years, and hoarseness was present from 20 days to 5 years. After diagnosis, 9 patients underwent posterior fossa decompression surgery, and 1 of them underwent syrinx drainage at the same time. The symptoms of 8 cases improved significantly after operation, with the improvement time from 1 to 30 days. In addition, 9 patients chose conservative treatment, among whom 8 had no improvement in symptoms and 6 progressed. Conclusions: Posterior fossa decompression is an effective treatment for Chiari malformation, and the prognosis is good. Timely diagnosis and treatment can improve the prognosis of patients.
Male
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Humans
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Female
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Child
;
Hoarseness/etiology*
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Retrospective Studies
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Conservative Treatment
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Drainage
;
Laryngoscopy

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