1.Mechanism of Xiezhuo Jiedu Prescription in Treatment of Ulcerative Colitis by Inhibiting Ferroptosis and Alleviating Intestinal Mucosal Injury Based on Nrf2/SLC7A11/GPX4 Signaling Pathway
Qiang CHUAI ; Wenjing ZHAI ; Sujie JIA ; Xiaomeng LANG ; Jie REN ; Xin KANG ; Shijie REN ; Xingchi LIU ; Xin LIU ; Xiaohong JIANG ; Jianping LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):160-169
ObjectiveTo investigate the mechanism of Xiezhuo Jiedu prescription in the treatment of ulcerative colitis (UC) by inhibiting ferroptosis and alleviating intestinal mucosal injury based on the nuclear factor E2 related factor 2/solute carrier family 7 member/glutathione peroxidase 4 (Nrf2/SLC7A11/GPX4) signaling pathway. MethodsA total of 60 male SD rats were divided into a normal group, a model group, high- and low-dose Xiezhuo Jiedu prescription groups (26.64 and 13.32 g·kg-1, respectively), a ferroptosis inhibitor group (Ferrostatin-1, 0.005 g·kg-1), and a mesalazine group (0.27 g·kg-1), with 10 rats in each group. A UC rat model was established by intrarectal administration of trinitrobenzene sulfonic acid (TNBS)-ethanol. The normal group and the model group were intragastrically administered normal saline. The other groups were given intragastric administration according to the corresponding dosage for 7 d. The general condition, disease activity index (DAI) score, colon length, and mucosal injury index (CDMI) score were observed in each group. The pathological changes of colon tissue in each group were observed by hematoxylin-eosin (HE) staining. The intestinal mucosa and mitochondrial morphology in each group were observed by transmission electron microscopy. The expression levels of Occludin, Claudin-1, mucin 2 (MUC2), and E-cadherin in intestinal tissue were detected by immunofluorescence (IF). Enzyme-linked immunosorbent assay (ELISA) was used to detect the expression levels of serum tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) in each group, and a lactic acid assay kit or ELISA was employed to detect the expression levels of reactive oxygen species (ROS), ferrous ions (Fe2+), glutathione (GSH), malondialdehyde (MDA), 4-hydroxynonenal (4-HNE), diamine oxidase (DAO), and D-lactate (D-LA). Real-time quantitative polymerase chain reaction (Real-time PCR) was applied to detect the mRNA expression levels of Nrf2, SLC7A11, GPX4, Occludin, Claudin-1, MUC2, and E-cadherin in each group, and Western blot was adopted to detect the protein expression levels of Nrf2, p-Nrf2, SLC7A11, and GPX4 in each group. ResultsCompared with the normal group, rats in the model group exhibited listlessness, sluggish response, and mucopurulent and bloody stools. The model group also showed significantly increased DAI score, colon length, CDMI score, and expression levels of TNF-α, IL-6, ROS, Fe2+, MDA, 4-HNE, DAO, and D-LA (P<0.01). In addition, it presented significantly decreased IF values of Occludin, Claudin-1, MUC2, and E-cadherin and mRNA and protein expression levels of IL-10, GSH, Nrf2, p-Nrf2, SLC7A11, and GPX4 (P<0.01). There were different degrees of improvement in each administration group after treatment, and the improvement was the most significant in the high-dose Xiezhuo Jiedu prescription group (P<0.01). ConclusionXiezhuo Jiedu prescription may alleviate intestinal mucosal injury by inhibiting ferroptosis of intestinal epithelial cells via regulating the Nrf2/SLC7A11/GPX4 signaling pathway, thereby exhibiting efficacy in the treatment of UC.
2.Comparison of the effects of three time series models in predicting the trend of erythrocyte blood demand
Yajuan QIU ; Jianping ZHANG ; Jia LUO ; Peilin LI ; Mengzhuo LUO ; Qiongying LI ; Ge LIU ; Qing LEI ; Kai LIAO
Chinese Journal of Blood Transfusion 2025;38(2):257-262
[Objective] To analyse and predict the tendencies of using erythrocyte blood in Changsha based on the autoregressive integrated moving average (ARIMA) model, long short-term memory (LSTM) and ARIMA-LSTM combination model, so as to provide reliable basis for designing a feasible and effective blood inventory management strategy. [Methods] The data of erythrocyte usage from hospitals in Changsha between January 2012 and December 2023 were collected, and ARIMA model, LSTM model and ARIMA-LSTM combination model were established. The actual erythrocyte consumption from January to May 2024 were used to assess and verify the prediction effect of the models. The extrapolation prediction accuracy of the models were tested using two evaluation indicators: mean absolute percentage error (MAPE) and root mean square error (RMSE), and then the prediction performance of the model was compared. [Results] The RMSE of LSTM model, optimal model ARIMA(1,1,1)(1,1,1)12 and ARIMA-LSTM combination model were respectively 5 206.66, 3 096.43 and 2 745.75, and the MAPE were 18.78%,11.54% and 9.76% respectively, which indicated that the ARIMA-LSTM combination model was more accurate than the ARIMA model and LSTM model, and the prediction results was basically consistent with the actual situation. [Conclusion] The ARIMA-LSTM model can better predict the clinical erythrocyte consumption in Changsha in the short term.
3.Clinical Efficacy of Xiaoji Hufei Formula in Protecting Children with Close Contact Exposure to Influenza: A Multicenter,Prospective, Non-randomized, Parallel, Controlled Trial
Jing WANG ; Jianping LIU ; Tiegang LIU ; Hong WANG ; Yingxin FU ; Jing LI ; Huaqing TAN ; Yingqi XU ; Yanan MA ; Wei WANG ; Jia WANG ; Haipeng CHEN ; Yuanshuo TIAN ; Yang WANG ; Chen BAI ; Zhendong WANG ; Qianqian LI ; He YU ; Xueyan MA ; Fei DONG ; Liqun WU ; Xiaohong GU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):223-230
ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza, and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter, prospective, non-randomized, parallel, controlled trial was conducted from October 2021 to May 2022 in five hospitals, including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness (ILI) cases were collected, and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention, they were assigned to the observation group (108 cases) or the control group (108 cases). Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine (TCM) symptom score scale for influenza, influenza-related emergency (outpatient) visit rate, influenza hospitalization rate, and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled, with 108 in the observation group and 108 in the control group. Primary outcomes: (1) Incidence of ILI: The incidence was 12.0% (13/108) in the observation group and 23.1% (25/108) in the control group, with the observation group showing a significantly lower incidence (χ2=4.6, P<0.05). (2) Influenza confirmation rate: 3.7% (4/108) in the observation group and 4.6% (5/108) in the control group, with no statistically significant difference. Secondary outcomes: (1) TCM symptom score scale: after onset, nasal congestion and runny nose scores differed significantly between the two groups (P<0.05), while other symptoms such as fever, sore throat, and cough showed no significant differences. (2) Influenza-related emergency (outpatient) visit rate: 84.6% (11 cases) in the observation group and 96.0% (24 cases) in the control group, with no significant difference. (3) Time to onset after exposure: The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group, with a statistically significant difference (P<0.05). ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions, Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.
4.Clinical Efficacy of Xiaoji Hufei Formula in Protecting Children with Close Contact Exposure to Influenza: A Multicenter,Prospective, Non-randomized, Parallel, Controlled Trial
Jing WANG ; Jianping LIU ; Tiegang LIU ; Hong WANG ; Yingxin FU ; Jing LI ; Huaqing TAN ; Yingqi XU ; Yanan MA ; Wei WANG ; Jia WANG ; Haipeng CHEN ; Yuanshuo TIAN ; Yang WANG ; Chen BAI ; Zhendong WANG ; Qianqian LI ; He YU ; Xueyan MA ; Fei DONG ; Liqun WU ; Xiaohong GU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):223-230
ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza, and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter, prospective, non-randomized, parallel, controlled trial was conducted from October 2021 to May 2022 in five hospitals, including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness (ILI) cases were collected, and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention, they were assigned to the observation group (108 cases) or the control group (108 cases). Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine (TCM) symptom score scale for influenza, influenza-related emergency (outpatient) visit rate, influenza hospitalization rate, and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled, with 108 in the observation group and 108 in the control group. Primary outcomes: (1) Incidence of ILI: The incidence was 12.0% (13/108) in the observation group and 23.1% (25/108) in the control group, with the observation group showing a significantly lower incidence (χ2=4.6, P<0.05). (2) Influenza confirmation rate: 3.7% (4/108) in the observation group and 4.6% (5/108) in the control group, with no statistically significant difference. Secondary outcomes: (1) TCM symptom score scale: after onset, nasal congestion and runny nose scores differed significantly between the two groups (P<0.05), while other symptoms such as fever, sore throat, and cough showed no significant differences. (2) Influenza-related emergency (outpatient) visit rate: 84.6% (11 cases) in the observation group and 96.0% (24 cases) in the control group, with no significant difference. (3) Time to onset after exposure: The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group, with a statistically significant difference (P<0.05). ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions, Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.
5.Current status and analysis of influencing factors of prehospital thrombolysis for ST segment elevation myocardial infarction in China
Hao WANG ; Wenyi TANG ; Yu MA ; Sijia TIAN ; Jianping JIA ; Wenzhong ZHANG ; Jinjun ZHANG ; Hui CHEN ; Jun XIAO
Chinese Journal of Emergency Medicine 2024;33(11):1529-1535
Objective:To investigate the current situation and influence factors of prehospital thrombolysis treatment for ST segment elevation myocardial infarction (STEMI) in China, to analyze the main factors affecting prehospital thrombolysis implementation, and optimize the pre-hospital thrombolysis strategy for STEMI to reduce mortality.Methods:A multicenter cross-sectional survey was conducted. 21 cities from six major geographical regions in China were selected by using convenient sampling method. An anonymous online electronic questionnaire was used to investigate the current situation and influence factors of prehospital emergency physicians and grassroots physicians implementing prehospital thrombolysis treatment for STEMI patients. Chi-square test was used to analyze the differences in count data between groups, and multivariate logistic regression was used to analyze the factors affecting prehospital thrombolysis in STEMI.Results:A total of 5 163 prehospital emergency physicians and physicians from grassroots township health centers/community health service centers or village clinics participated in this survey. Among them, 3208 (62.13%) have never implemtent thrombolysis, and 1 955 (37.87%) have did it before. The results of the multivariate logistic regression analysis indicated that physicians with 5-10 years of experience ( OR=1.41, 95% CI: 1.18-1.69, P<0.01), 11-20 years of experience ( OR=1.25, 95% CI: 1.03-1.52, P=0.02), those working in village clinics ( OR=1.30, 95% CI: 1.05-1.61, P=0.02), those in pre-hospital emergency medical institutions/departments ( OR=3.19, 95% CI: 2.80-3.64, P<0.01), those whose units are equipped with remote ECG transmission capabilities ( OR=1.72, 95% CI: 1.50-1.96, P<0.01), or ECG AI-assisted diagnostic tools ( OR=1.31, 95% CI: 1.15-1.49, P<0.01), and those who believe that thrombolysis is highly effective and should be widely adopted ( OR=2.55, 95% CI: 2.09-3.12, P<0.01) or consider it somewhat effective but warranting caution ( OR=2.11, 95% CI: 1.73-2.59, P<0.001), were more likely to make pre-hospital thrombolysis decisions for STEMI patients. To improve the current situation of pre-hospital thrombolysis for STEMI, the top four measures prioritized by pre-hospital emergency and grassroots physicians were enhancing the rescue capabilities of primary care doctors (92.22%), strengthening guidance from higherlevel hospitals (84.99%), increasing support for information technology (83.37%), and improving public health education (74.75%). Conclusions:The implementation rate of prehospital thrombolysis for STEMI in China still needs to be improved. Optimizing the prehospital thrombolysis strategy for STEMI, strengthening the allocation of basic medical resources and information technology support, and improving the referral mechanism are conducive to the implementation of prehospital thrombolysis for STEMI.
6.Significance of alkaline phosphatase to albumin ratio in the diagnosis and prognosis evaluation of trauma sepsis in patients with multiple trauma
Yingmao JIA ; Ning TAO ; Bo YANG ; Cheng HE ; Jianping HU
International Journal of Laboratory Medicine 2024;45(19):2382-2385,2391
Objective To investigate the significance of alkaline phosphatase to albumin ratio(APAR)in the diagnosis and prognosis evaluation of trauma sepsis in patients with multiple trauma.Methods A total of 130 patients with multiple trauma treated in this hospital from January 2021 to October 2023 were selected as subjects.According to the presence or absence of trauma sepsis,they were divided into sepsis group(82 cases)and non-sepsis group(48 cases).The patients with traumatic sepsis were followed up for 28 d and divided into survival group(67 cases)and death group(15 cases)according to the prognosis.The levels of alkaline phos-phatase and albumin in peripheral blood were detected by automatic biochemical analyzer,and APAR was cal-culated.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of alkaline phosphatase,albumin,and APAR for trauma sepsis in patients with multiple trauma.Multivariate Logistic re-gression analysis was used to explore the influencing factors of the prognosis of trauma sepsis in patients with multiple trauma.Results The levels of alkaline phosphatase and APAR in sepsis group were higher than those in non-sepsis group,and the level of albumin was lower than that in non-sepsis group(P<0.05).The area under the curve(95%CI)of alkaline phosphatase,albumin,and APAR for predicting traumatic sepsis in patients with multiple trauma were 0.753(0.702-0.801),0.849(0.798-0.900),and 0.901(0.850-0.952),respectively.The cut-off values were 142.12 U/L,27.89 g/L and 5.24,the specificity were 55.24%,66.16%and 85.43%,and the sensitivity were 91.67%,91.67%and 84.12%,respectively.The levels of alka-line phosphatase and APAR in the death group were higher than those in the survival group,and the level of albumin was lower than that in the survival group(P<0.05).Compared with the survival group,the death group had significantly higher proportion of patients aged ≥ 60 years,sequential organ failure score,acute physiology and chronic health evaluation Ⅰ(APACHEⅡ)score,and levels of C-reactive protein,blood lactic acid,and serum creatinine(P<0.05).Multivariate Logistic regression analysis showed that old age(OR=2.330,95%CI 1.568-3.462),high APACHE Ⅱ score(OR=2.056,95%CI 1.448-2.921),high expression of alkaline phosphatase(OR=2.479,95%CI 1.652-3.720),low expression of albumin(OR=2.525,95%CI 1.543-3.288),and high APAR(OR=2.849,95%CI 1.848-4.394)were the influencing factors of the prog-nosis of trauma sepsis in patients with multiple trauma(P<0.05).Conclusion APAR can be used as a bio-logical index to predict trauma sepsis in patients with multiple trauma,and the abnormal increase of APAR is associated with the prognosis of trauma sepsis.
7.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.
8.Best evidence application of exercise prescriptions for patients with chronic heart failure
Lili ZHOU ; Ge GUO ; Mei LI ; Cuimei SHAO ; Yue MAO ; Beibei ZHU ; Jia FENG ; Hailian CHEN ; Jianping SONG
Chinese Journal of Nursing 2024;59(14):1698-1705
Objective To investigate the best evidence application of exercise prescription in patients with chronic heart failure in clinical practice and evaluate its effectiveness.Methods The best evidence of exercise prescription for patients with chronic heart failure was summarized,and the evidence-based practice plan was developed,and it was implemented in the cardiology department of a tertiary hospital in Zhejiang Province from August to October,2022.Nurses'exercise prescription knowledge-attitude-practice level,implementation rate of review indicators,the length of hospital stay,exercise endurance,daily living ability and grip strength of both groups before and after the intervention were compared.Results After the application of the best evidence,the score of knowledge dimension was(9.34±0.98)points;the score of attitude dimension was(63.29±1.37)points;the score of practice dimension was(25.49±1.51)points,which were statistically significant compared with the scores before the application of evidence(P<0.05).After the application of the best evidence,the implementation rate of 16 review indicators was higher than that before the application of evidence(P<0.001).The length of hospital stay in the evidence application group was shorter than that in the baseline examination group(Z=-2.610,P<0.001).After intervention,the exercise endurance,daily living ability and grip strength of patients in the evidence application group were improved compared with the baseline review group,and the difference was statistically significant(P<0.05).Conclusion After the application of the best evidence of exercise prescription in patients with chronic heart failure,it can improve the level of knowledge,attitude and practice of nurses on exercise prescription,standardize the compliance of nurses'exercise prescription,reduce the number of days in the hospital,and improve patients'exercise endurance,daily living ability and grip strength.
9.Prognostic prediction model for Chinese patients with chronic heart failure: A systematic review
Yingying JIA ; Huanting HU ; Jingni HU ; Min YOU ; Tianman YUAN ; Jianping SONG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(11):1645-1654
Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.
10.Study on the Optimal Harvesting Period of Platycodonis Radix by Grey Correlation Method and TOPSIS Method Based on Entropy Weight Method
Yajiang JING ; Jianping HUANG ; Qilong WANG ; Jia AN ; Xiang WANG ; Yupeng WANG ; Gang ZHANG ; Liang PENG ; Jing GAO ; Changli WANG ; Yonggang YAN
Chinese Journal of Modern Applied Pharmacy 2024;41(9):1229-1237
OBJECTIVE
To improve the quality evaluation method of Platycodonis Radix, to study the differences in the quality of three-years-old Platycodonis Radix under different harvesting periods, and to determine the optimal harvesting period of Platycodonis Radix.
METHODS
The leachate, ash, moisture, refractive index and the content of six saponins were used as the quality evaluation indexes. The differences between the herbs of Platycodonis Radix at different harvesting periods were characterized with the help of mathematical and statistical methods. And link the entropy weight method, gray correlation analysis and TOPSIS method were combined to obtain the statistical analysis of the relevant indexes and the quality ranking information of the herbs in different harvesting periods.
RESULTS
There were significant differences between the quality evaluation indexes of three-years-old Platycodonis Radix at different harvesting periods. The added multi-indicator testing had improved the quality evaluation system of Platycodonis Radix and enhanced the "Drug properties-Effectiveness" linkage of the herbs. And the results of the comprehensive quality evaluation model showed that the herbs harvested around October 21 (Frost’s Descent) were ranked best in terms of comprehensive index.
CONCLUSION
In order to ensure the quality of Platycodonis Radix, the best harvesting period for three-years-old Platycodonis Radix is determined around the "Frost’s Descent" season, taking into account the characteristics of the herbs' appearance and the material basis of herbs.


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