2.Clinical analysis of 57 children with epilepsy caused by focal cortical dysplasia
Yan DONG ; He YAO ; Xinjun WANG ; Mengchun LI ; Jixue YANG ; Qiao SHAN ; Tianming JIA ; Dongming LI ; Gong'ao WU ; Haiyan WANG ; Ke ZHANG
Chinese Journal of Neuromedicine 2024;23(3):233-239
Objective:To summarize the clinical characteristics of patients with epilepsy caused by focal cortical dysplasia (FCD), and identify the influencing factors for postoperative seizure controls.Methods:Fifty-seven patients with epilepsy caused by FCD admitted to Department of Neurosurgery, Third Affiliated Hospital of Zhengzhou University from July 2019 to November 2023 were chosen; standard preoperative evaluation, surgery, postoperative management and follow-up were performed. A retrospective study of clinical data, imaging and video electroencephalogram (VEEG) data, surgical approaches, pathological findings, and follow-up data was performed; influencing factors for postoperative seizure controls were analyzed.Results:In these 57 patients with epilepsy caused by FCD, 29 were males (50.88%) and 28 were females (49.12%). Onset age was 30.00 (8.00, 74.50) months, and surgery age was 95.00 (50.00, 138.50) months. Focal to bilateral tonic-clonic seizures (42/57; 73.68%) and epileptic spasms (13/57; 22.81%) were common seizure types. Cranial MRI was positive in 34 patients (59.65%), mainly manifested as abnormal cortical gyri/sulci morphology (17/57; 29.82%). In 43 patients accepted PET-CT, hypometabolic sites were detected in 40 (93.02%), and complete agreement between PET/MRI fusion results and actual lesion sites was noted in 40 (93.02%). FCD type I was noted in 16 patients (28.07%), type II in 39 (68.42%), and type III in 2 (3.51%). By December 2023, 44 (77.19%) had Engel grading I, 4 (7.02%) had grading II, 4 (7.02%) had grading III, and 5 (8.77%) had grading IV. Children with good prognosis (Engel grading I+II) and those with poor prognosis (Engel grading III+IV) showed significant differences in terms of time from first seizure to surgery, positive/negative MRI, and regularity of postoperative ASMs ( P<0.05). Conclusions:Focal to bilateral tonic-clonic seizure is the most common seizure type in patients with epilepsy caused by FCD, and abnormal cortical gyri/sulci morphology is the most common MRI manifestation; PET/MRI fusion imaging is superior to PET-CT or MRI in identifying epileptogenic foci. Poor seizure control can be noted in patients with long onset time to surgery, with negative cranial MRI results, or with irregular postoperative ASMs.
3.Application of quality monitoring indicators of blood testing in blood banks of Shandong province
Xuemei LI ; Weiwei ZHAI ; Zhongsi YANG ; Shuhong ZHAO ; Yuqing WU ; Qun LIU ; Zhe SONG ; Zhiquan RONG ; Shuli SUN ; Xiaojuan FAN ; Wei ZHANG ; Jinyu HAN ; Lin ZHU ; Xianwu AN ; Hui ZHANG ; Junxia REN ; Xuejing LI ; Chenxi YANG ; Bo ZHOU ; Haiyan HUANG ; Guangcai LIU ; Ping CHEN ; Hui YE ; Mingming QIAO ; Hua SHEN ; Dunzhu GONGJUE ; Yunlong ZHUANG
Chinese Journal of Blood Transfusion 2024;37(3):258-266
【Objective】 To objectively evaluate the quality control level of blood testing process in blood banks through quantitative monitoring and trend analysis, and to promote the homogenization level and standardized management of blood testing laboratories in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation service, blood component preparation, blood testing, blood supply and quality control was established. The questionnaire Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong province. Quality monitoring indicators of each blood bank from January to December 2022 were collected, and 31 indicators in terms of blood testing were analyzed using SPSS25.0 software. 【Results】 The proportion of unqualified serological tests in 17 blood bank laboratories was 55.84% for ALT, 13.63% for HBsAg, 5.08% for anti HCV, 5.62% for anti HIV, 18.18% for anti TP, and 1.65% for other factors (mainly sample quality). The detection unqualified rate and median were (1.23±0.57)% and 1.11%, respectively. The ALT unqualified rate and median were (0.74±0.53)% and 0.60%, respectively. The detection unqualified rate was positively correlated with ALT unqualified rate (r=0.974, P<0.05). The unqualified rate of HBsAg, anti HCV, anti HIV and anti TP was (0.15±0.09)%, (0.05±0.04)%, (0.06±0.03)% and (0.20±0.05)% respectively. The average unqualified rate, average hemolysis rate, average insufficient volume rate and the abnormal hematocrit rate of samples in 17 blood bank laboratories was 0.21‰, 0.08‰, 0.01‰ and 0.02‰ respectively. There were differences in the retest concordance rates of four HBsAg, anti HCV and anti HIV reagents, and three anti TP reagents among 17 blood bank laboratories (P<0.05). The usage rate of ELISA reagents was (114.56±3.30)%, the outage rate of ELISA was (10.23±7.05) ‰, and the out of range rate of ELISA was (0.90±1.17) ‰. There was no correlation between the out of range rate, outrage rate and usage rate (all P>0.05), while the outrage rate was positively correlated with the usage rate (r=0.592, P<0.05). A total of 443 HBV DNA positive samples were detected in all blood banks, with an unqualified rate of 3.78/10 000; 15 HCV RNA positive samples were detected, with an unqualified rate of 0.13/10 000; 5 HIV RNA positive samples were detected, with an unqualified rate of 0.04/10 000. The unqualified rate of NAT was (0.72±0.04)‰, the single NAT reaction rate [(0.39±0.02)‰] was positively correlated with the single HBV DNA reaction rate [ (0.36±0.02) ‰] (r=0.886, P<0.05). There was a difference in the discriminated reactive rate by individual NAT among three blood bank laboratories (C, F, H) (P<0.05). The median resolution rate of 17 blood station laboratories by minipool test was 36.36%, the median rate of invalid batch of NAT was 0.67%, and the median rate of invalid result of NAT was 0.07‰. The consistency rate of ELISA dual reagent detection results was (99.63±0.24)%, and the median length of equipment failure was 14 days. The error rate of blood type testing in blood collection department was 0.14‰. 【Conclusion】 The quality monitoring indicator system for blood testing process in Shandong can monitor potential risks before, during and after the experiment, and has good applicability, feasibility, and effectiveness, and can facilitate the continuous improvement of laboratory quality control level. The application of blood testing quality monitoring indicators will promote the homogenization and standardization of blood quality management in Shandong, and lay the foundation for future comprehensive evaluations of blood banks.
4.Application of quality control indicator system in blood banks of Shandong
Qun LIU ; Yuqing WU ; Xuemei LI ; Zhongsi YANG ; Zhe SONG ; Zhiquan RONG ; Shuhong ZHAO ; Lin ZHU ; Xiaojuan FAN ; Shuli SUN ; Wei ZHANG ; Jinyu HAN ; Xuejing LI ; Bo ZHOU ; Chenxi YANG ; Haiyan HUANG ; Guangcai LIU ; Kai CHEN ; Xianwu AN ; Hui ZHANG ; Junxia REN ; Hui YE ; Mingming QIAO ; Hua SHEN ; Dunzhu GONGJUE ; Yunlong ZHUANG
Chinese Journal of Blood Transfusion 2024;37(3):267-274
【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.
5.Quality monitoring indicator system in blood banks of Shandong: applied in blood donation services, component preparation and blood supply process
Yuqing WU ; Hong ZHOU ; Zhijie ZHANG ; Zhiquan RONG ; Xuemei LI ; Zhe SONG ; Shuhong ZHAO ; Zhongsi YANG ; Qun LIU ; Lin ZHU ; Xiaojuan FAN ; Shuli SUN ; Wei ZHANG ; Jinyu HAN ; Haiyan HUANG ; Guangcai LIU ; Ping CHEN ; Xianwu AN ; Hui ZHANG ; Junxia REN ; Xuejing LI ; Chenxi YANG ; Bo ZHOU ; Hui YE ; Mingming QIAO ; Hua SHEN ; Dunzhu GONGJUE ; Yunlong ZHUANG
Chinese Journal of Blood Transfusion 2024;37(3):275-282
【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.
6.Tenecteplase versus alteplase in treatment of acute ST-segment elevation myocardial infarction: A randomized non-inferiority trial
Xingshan ZHAO ; Yidan ZHU ; Zheng ZHANG ; Guizhou TAO ; Haiyan XU ; Guanchang CHENG ; Wen GAO ; Liping MA ; Liping QI ; Xiaoyan YAN ; Haibo WANG ; Qingde XIA ; Yuwang YANG ; Wanke LI ; Juwen RONG ; Limei WANG ; Yutian DING ; Qiang GUO ; Wanjun DANG ; Chen YAO ; Qin YANG ; Runlin GAO ; Yangfeng WU ; Shubin QIAO
Chinese Medical Journal 2024;137(3):312-319
Background::A phase II trial on recombinant human tenecteplase tissue-type plasminogen activator (rhTNK-tPA) has previously shown its preliminary efficacy in ST elevation myocardial infarction (STEMI) patients. This study was designed as a pivotal postmarketing trial to compare its efficacy and safety with rrecombinant human tissue-type plasminogen activator alteplase (rt-PA) in Chinese patients with STEMI.Methods::In this multicenter, randomized, open-label, non-inferiority trial, patients with acute STEMI were randomly assigned (1:1) to receive an intravenous bolus of 16 mg rhTNK-tPA or an intravenous bolus of 8 mg rt-PA followed by an infusion of 42 mg in 90 min. The primary endpoint was recanalization defined by thrombolysis in myocardial infarction (TIMI) flow grade 2 or 3. The secondary endpoint was clinically justified recanalization. Other endpoints included 30-day major adverse cardiovascular and cerebrovascular events (MACCEs) and safety endpoints.Results::From July 2016 to September 2019, 767 eligible patients were randomly assigned to receive rhTNK-tPA ( n = 384) or rt-PA ( n = 383). Among them, 369 patients had coronary angiography data on TIMI flow, and 711 patients had data on clinically justified recanalization. Both used a –15% difference as the non-inferiority efficacy margin. In comparison to rt-PA, both the proportion of patients with TIMI grade 2 or 3 flow (78.3% [148/189] vs. 81.7% [147/180]; differences: –3.4%; 95% confidence interval [CI]: –11.5%, 4.8%) and clinically justified recanalization (85.4% [305/357] vs. 85.9% [304/354]; difference: –0.5%; 95% CI: –5.6%, 4.7%) in the rhTNK-tPA group were non-inferior. The occurrence of 30-day MACCEs (10.2% [39/384] vs. 11.0% [42/383]; hazard ratio: 0.96; 95% CI: 0.61, 1.50) did not differ significantly between groups. No safety outcomes significantly differed between groups. Conclusion::rhTNK-tPA was non-inferior to rt-PA in the effect of improving recanalization of the infarct-related artery, a validated surrogate of clinical outcomes, among Chinese patients with acute STEMI.Trial registration::www.ClinicalTrials.gov (No. NCT02835534).
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.Construction and application of muscle strength training program for the elderly frail patlents
Yingjie WANG ; Wei LIU ; Hongwei ZHU ; Yu WANG ; Ran QIAO ; Haiyan QIU
Chinese Journal of Nursing 2024;59(14):1669-1677
Objective To verify the application effect of the muscle strength training based on Fogg behavior model for elderly frail patients,and provide references and bases for subsequent related research.Methods This paper constructed a muscle strength training program for elderly frail patients based on the Fogg behavior model.The exercise intervention process includes the stages of cultivating exercise awareness,scientific fitness guidance,and developing exercise habits.66 elderly frail people aged 60 and above who were hospitalized in 4 geriatric wards of a tertiary A hospital in Beijing from January to March 2022 were recruited,and they were randomly divided into a control group and an intervention group.The intervention group implemented a muscle strength training based on the Fogg behavior model,while the control group was given routine exercise guidance and education for 6 months.The muscle strength,cardiopulmonary function,and glucose and lipid metabolism of the 2 groups were compared at the end of 3 and 6 months of intervention.Results A total of 65 patients with 33 in the control group and 32 in the intervention group completed the study.The muscle strength of the intervention group showed better changes over time at 6 months compared to the control group(P<0.05).In terms of cardiopulmonary function,the intervention group had better lung capacity than the control group at 3 and 6 months,with statistically significant differences(t=2.166,P=0.034;t=3.385,P=0.001).There was no statistically significant difference in heart rates and left ventricular ejection fraction between the groups(P>0.05).In terms of glucose and lipid metabolism,only high-density lipoprotein in the intervention group was found to be superior to it in the control group at 3 and 6 months,with statistically significant differences(t=2.970,P=0.004;t=4.111,P<0.001).There was no statistically significant difference between blood glucose,low-density lipoprotein,total cholesterol,and triglycerides groups(P>0.05).Conclusion The muscle strength training based on the Fogg behavior model can effectively improve the muscle strength and lung function of frail elderly patients,and can also improve blood lipid metabolism to a certain extent,while there is no obvious effect on heart function and blood glucose control.
9.Construction and evaluation of a risk prediction model of hypoglycemia risk in emergency intensive care unit patients
Mengyuan QIAO ; Haiyan WANG ; Mengzhen QIN
Chinese Journal of Nursing 2023;58(23):2835-2842
Objective To construct and validate a risk prediction model of hypoglycemia in emergency intensive care unit(EICU)patients.Methods A retrospective study was conducted among 2093 EICU patients in a department of a tertiary A hospital in Urumqi from January to December 2022,as research subjects.Univariate analysis and logistic regression analysis were used to determine the risk factors for hypoglycemia,and R software was used to establish a nomogram prediction model.The area urder the receiver operator characteristic(ROC)curve was used to test the model differentiation,and the Hosmer-Lemeshow test was used to test the goodness of fit of the model.The risk prediction model was validated by the prospective study with inclusion of 699 EICU patients admitted to the same hospital from January to March 2023.Results The model variables included whether hypoglycemia occurred in the past year,acute physiology and chronic health evaluation Ⅱ score at admission,coefficient of variation of blood glucose,history of renal disease,history of diabetes,insulin treatment,and serum creatinine.The Hosmer-Lemeshow test of the model was P=0.497;the area urder the ROC curve was 0.820(95%CI:0.794~0.847);the best cutoff value was 0.495;the sensitivity was 0.856;the specificity was 0.751.The model validation results showed that the Hosmer-Lemeshow test P=0.537;the area urder the ROC curve was 0.859(95%CI:0.819~0.898);the best cutoff value was 0.597;the sensitivity was 0.840;the specificity was 0.757.Conclusion The established nomogram prediction model helps clinical staff to screen patients at high risk of hypoglycemia and provides a reference for optimizing the management of hypoglycemia in EICU patients.
10.The short-term and long-term prognostic analysis in patients with chronic total occlusion acute non-ST segment elevation myocardial infarction
Tianjie WANG ; Junle DONG ; Sen YAN ; Guihao CHEN ; Ge CHEN ; Yanyan ZHAO ; Haiyan QIAN ; Jiansong YUAN ; Lei SONG ; Shubin QIAO ; Jingang YANG ; Weixian YANG ; Yuejin YANG
Chinese Journal of Internal Medicine 2022;61(4):384-389
Objectives:To investigate the clinical impacts of chronic total occlusion (CTO) in acute non-ST segment elevation myocardial infarction (NSTEMI) patients underwent primary percutaneous coronary intervention (PCI).Methods:A total of 2 271 acute NSTEMI patients underwent primary PCI from China Acute Myocardial Infarction Registry were enrolled in this study and divided into the CTO group and the non-CTO group according to the angiography. The primary endpoint was in-hospital mortality and mortality during a 2-year follow-up. The secondary endpoint was major adverse cardiovascular events (MACE) including revascularization, death, re-myocardial infarction, heart failure readmission, stroke and major bleeding.Results:Thirteen-point four percent of the total acute NSTEMI patients had concurrent CTO. In-hospital mortality (3.6% vs. 1.4%, P<0.01) and 2-year mortality (9.0% vs. 5.1%, P<0.01) were significantly higher in the CTO group than those in the non-CTO group, respectively. Multiple regression analyses showed that chronic obstructive pulmonary disease ( HR 7.28, 95% CI 1.50-35.35, P=0.01) was an independent risk factor of in-hospital mortality, and advanced age ( HR 1.04, 95% CI 1.01-1.07, P<0.01), and low levels of ejection fraction ( HR 0.95, 95% CI 0.93-0.98, P<0.01) were independent risk factors of 2-year mortality. CTO ( HR1.67, 95% CI 1.10-2.54, P=0.02) was an independent risk factor of revascularization, but not a risk factor of mortality. Conclusions:Although acute NSTEMI patients concurrent with CTO had higher mortality, CTO was only an independent risk factor of revascularization, but not of mortality. Advanced age and low levels of ejection fraction were independent risk factors of long-term death among acute NSTEMI patients.

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