1.Detection of five tick-borne pathogens in Maanshan City,Anhui Province,China
Guo-Dong YANG ; Kun YANG ; Liang-Liang JIANG ; Ming WU ; Ying HONG ; Ke-Xia XIANG ; Jia HE ; Lei GONG ; Dan-Dan SONG ; Ming-Jia BAO ; Xing-Zhou LI ; Tian QIN ; Yan-Hua WANG
Chinese Journal of Zoonoses 2024;40(4):308-314
Here,5 important pathogens carried by ticks in Maanshan City,Anhui Province,China were identified.In to-tal,642 ticks were collected from 13 villages around Maanshan City and identified by morphological and mitochondrial COI genes.The 16S rRNA gene of Francisella tularensis,ssrA gene of Bartonella,16S rRNA,ompA and ompB genes of Rickett-sia,16S rRNA and gltA genes of Anaplasma,and groEL and rpoB genes of Coxiella were sequenced.Reference sequences were retrieved from a public database.Phylogenetic trees were constructed with MEG A1 1.0 software.In total,36 Rickettsiae isolates were detected in 640 Haemaphysalis longicornis ticks,which included 20 isolates of Rickettsia heilongjian-gensis,16 of Candidatus Rickettsia jingxinensis,2 of Ana-plasma bovis,and 186 of Coxiella-like endosymbiont.R.hei-longjiangensis HY2 detected in this study and Anhui B8 strain,Ca.R.jingxinensis QL3 and those from Shanxi Prov-ince and Jiangsu Province,A.bovis JX4 and those from Shanxi Province were clustered on the same branch.Overall,17 ticks had combined infections and none of the 5 bacteria were detected in two Amblyomma testudinarium ticks.This is the first report of Ca.R.jingxinensis detected in H.longicornis ticks from Anhui Province.It is recommended that the two types of Rickettsia that cause spotted fever and A.bovis should be reported to local health authorities to initiate appropriate prevention and control measures.
2.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.
3.Influence of occupational stress on mental health of medical staff: mediating effect of affective commitment and moderating effect of overcommitment
Xiaomeng LIU ; Hong QIAN ; Xia GONG ; Yong ZHANG ; Yuxian YUN ; Juan YAN ; Xuexia JIANG ; Yanli LIU ; Benzhong ZHANG
Journal of Environmental and Occupational Medicine 2023;40(3):304-309
Background Occupational stress has been shown to be an important factor affecting the mental health of workers. The role of affective commitment to the organization and overcommitment to work cannot be ignored. However, there is a lack of research on this topic in China. Objective To explore a potential mediating effect of affective commitment on how occupational stress affects the mental health of medical staff and a potential moderating effect of overcommitment on the mediating effect of affective commitment. Methods A total of 1372 health care workers in a tertiary Grade A hospital in Lanzhou City were selected as study subjects for a cross-sectional survey. The occupational stress, emotional commitment, and psychological distress of the subjects were evaluated by the Effort-Reward Imbalance Scale, Affective Commitment Scale, and Kessler 10 Scale. SPSS 26.0 was used for correlation analysis, mediation analysis, and moderated mediation analysis. Common method bias wasevaluated by Harman one-factor test. Results A total of 1372 questionnaires were distributed, of which 1277 valid questionnaires were returned, with a valid recovery rate of 93.08%. The mean occupational stress score was 1.14±0.23, the mean overcommitment score was 20.26±3.21, the mean affective commitment score was 20.25±3.34, and the mean psychological distress score was 26.26±7.90. The Spearman correlation analysis results showed that occupational stress among medical staff was positively correlated with overcommitment and psychological distress (r=0.153, 0.410, P<0.01) and negatively correlated with affective commitment (r=−0.341, P<0.01); overcommitment was negatively related to affective commitment and positively related to psychological distress (r=−0.107, 0.312, P<0.01); affective commitment was negatively related to psychological distress (r=−0.464, P<0.01). The positive effect of occupational stress on psychological distress of medical staff was significant (b=0.41, t=15.42, P<0.001); affective commitment presented a partial mediating effect on the relationship between occupational stress and psychological distress (effect value=0.13), accounting for 31.71% of the total effect; overcommitment moderated the process of occupational stress-affective commitment-psychological distress (P<0.01). Conclusion Affective commitment of medical staff has a partial mediating effect on the relationship between occupational stress and psychological distress, and overcommitment plays a significant role in moderating the process of occupational stress-affective commitment-psychological distress.
4.Effects of short-term mindfulness behavior training on body image and negative emotions of pregnant women with recurrent spontaneous abortion
Hong YANG ; Qiaoping YU ; Shasha ZHAO ; Xia CAI ; Minhua DING ; Zhihua GONG ; Minhui JIANG
Chinese Journal of Modern Nursing 2023;29(21):2916-2920
Objective:To explore the effect of short-term mindfulness behavior training on body image, negative emotions and mindfulness level of pregnant women with recurrent spontaneous abortion (RSA) .Methods:From October 2020 to October 2021, 50 RSA pregnant women admitted to the Department of Gynecology of Wuxi Woman and Enfants Care Hospital were selected as the study subject using convenience sampling. Pregnant women were divided into an intervention group and a control group using a random number table method, with 25 cases in each group. During the research process, two cases were lost in the intervention group and two cases in the control group, and 46 cases were ultimately completed, with 23 cases in each group. The control group received routine nursing, while the intervention group received a 4-week mindfulness behavior training on this basis. Body Image in Pregnancy Scale (BIPS), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS) and Mindful Attention Awareness Scale (MAAS) were used to evaluate the effect of intervention.Results:After intervention, the BIPS, SAS, SDS scores of pregnant women in the intervention group were lower than those in the control group, while the MAAS scores were higher than those in the control group, with statistically significant differences ( P<0.05) . Conclusions:Short-term mindfulness behavior training can improve the body image and negative emotions of pregnant women with RSA, and can improve the level of mindfulness attention awareness.
5.ETCM v2.0: An update with comprehensive resource and rich annotations for traditional Chinese medicine.
Yanqiong ZHANG ; Xin LI ; Yulong SHI ; Tong CHEN ; Zhijian XU ; Ping WANG ; Meng YU ; Wenjia CHEN ; Bing LI ; Zhiwei JING ; Hong JIANG ; Lu FU ; Wenjing GAO ; Yanhua JIANG ; Xia DU ; Zipeng GONG ; Weiliang ZHU ; Hongjun YANG ; Haiyu XU
Acta Pharmaceutica Sinica B 2023;13(6):2559-2571
Existing traditional Chinese medicine (TCM)-related databases are still insufficient in data standardization, integrity and precision, and need to be updated urgently. Herein, an Encyclopedia of Traditional Chinese Medicine version 2.0 (ETCM v2.0, http://www.tcmip.cn/ETCM2/front/#/) was constructed as the latest curated database hosting 48,442 TCM formulas recorded by ancient Chinese medical books, 9872 Chinese patent drugs, 2079 Chinese medicinal materials and 38,298 ingredients. To facilitate the mechanistic research and new drug discovery, we improved the target identification method based on a two-dimensional ligand similarity search module, which provides the confirmed and/or potential targets of each ingredient, as well as their binding activities. Importantly, five TCM formulas/Chinese patent drugs/herbs/ingredients with the highest Jaccard similarity scores to the submitted drugs are offered in ETCM v2.0, which may be of significance to identify prescriptions/herbs/ingredients with similar clinical efficacy, to summarize the rules of prescription use, and to find alternative drugs for endangered Chinese medicinal materials. Moreover, ETCM v2.0 provides an enhanced JavaScript-based network visualization tool for creating, modifying and exploring multi-scale biological networks. ETCM v2.0 may be a major data warehouse for the quality marker identification of TCMs, the TCM-derived drug discovery and repurposing, and the pharmacological mechanism investigation of TCMs against various human diseases.
6.Expert consensus on late stage of critical care management.
Bo TANG ; Wen Jin CHEN ; Li Dan JIANG ; Shi Hong ZHU ; Bin SONG ; Yan Gong CHAO ; Tian Jiao SONG ; Wei HE ; Yang LIU ; Hong Min ZHANG ; Wen Zhao CHAI ; Man hong YIN ; Ran ZHU ; Li Xia LIU ; Jun WU ; Xin DING ; Xiu Ling SHANG ; Jun DUAN ; Qiang Hong XU ; Heng ZHANG ; Xiao Meng WANG ; Qi Bing HUANG ; Rui Chen GONG ; Zun Zhu LI ; Mei Shan LU ; Xiao Ting WANG
Chinese Journal of Internal Medicine 2023;62(5):480-493
We wished to establish an expert consensus on late stage of critical care (CC) management. The panel comprised 13 experts in CC medicine. Each statement was assessed based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) principle. Then, the Delphi method was adopted by 17 experts to reassess the following 28 statements. (1) ESCAPE has evolved from a strategy of delirium management to a strategy of late stage of CC management. (2) The new version of ESCAPE is a strategy for optimizing treatment and comprehensive care of critically ill patients (CIPs) after the rescue period, including early mobilization, early rehabilitation, nutritional support, sleep management, mental assessment, cognitive-function training, emotional support, and optimizing sedation and analgesia. (3) Disease assessment to determine the starting point of early mobilization, early rehabilitation, and early enteral nutrition. (4) Early mobilization has synergistic effects upon the recovery of organ function. (5) Early functional exercise and rehabilitation are important means to promote CIP recovery, and gives them a sense of future prospects. (6) Timely start of enteral nutrition is conducive to early mobilization and early rehabilitation. (7) The spontaneous breathing test should be started as soon as possible, and a weaning plan should be selected step-by-step. (8) The waking process of CIPs should be realized in a planned and purposeful way. (9) Establishment of a sleep-wake rhythm is the key to sleep management in post-CC management. (10) The spontaneous awakening trial, spontaneous breathing trial, and sleep management should be carried out together. (11) The depth of sedation should be adjusted dynamically in the late stage of CC period. (12) Standardized sedation assessment is the premise of rational sedation. (13) Appropriate sedative drugs should be selected according to the objectives of sedation and drug characteristics. (14) A goal-directed minimization strategy for sedation should be implemented. (15) The principle of analgesia must be mastered first. (16) Subjective assessment is preferred for analgesia assessment. (17) Opioid-based analgesic strategies should be selected step-by-step according to the characteristics of different drugs. (18) There must be rational use of non-opioid analgesics and non-drug-based analgesic measures. (19) Pay attention to evaluation of the psychological status of CIPs. (20) Cognitive function in CIPs cannot be ignored. (21) Delirium management should be based on non-drug-based measures and rational use of drugs. (22) Reset treatment can be considered for severe delirium. (23) Psychological assessment should be conducted as early as possible to screen-out high-risk groups with post-traumatic stress disorder. (24) Emotional support, flexible visiting, and environment management are important components of humanistic management in the intensive care unit (ICU). (25) Emotional support from medical teams and families should be promoted through"ICU diaries"and other forms. (26) Environmental management should be carried out by enriching environmental content, limiting environmental interference, and optimizing the environmental atmosphere. (27) Reasonable promotion of flexible visitation should be done on the basis of prevention of nosocomial infection. (28) ESCAPE is an excellent project for late stage of CC management.
Humans
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Consensus
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Critical Care/methods*
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Intensive Care Units
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Pain/drug therapy*
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Analgesics/therapeutic use*
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Delirium/therapy*
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Critical Illness
7.Effect of Guiqi Baizhu Prescription Combined with Oxaliplatin on Expression of EGFR and VEGFR2 and Angiogenesis in Gastric Cancer-bearing Mice
Han ZHANG ; Yun SU ; Hong-xia GONG ; Yong HUANG ; Shi-wei NIU ; Yuan-ding ZENG
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(7):57-63
ObjectiveTo investigate the effect of Guiqi Baizhu prescription (GQBZ) combined with oxaliplatin on the expression of epidermal growth factor receptor (EGFR) and vascular endothelial growth factor receptor-2 (VEGFR2) and angiogenesis in gastric cancer-bearing mice. MethodThe tumor-bearing model of gastric cancer was induced in Kunming mice. The mice were randomly divided into blank group, model group, oxaliplatin group (10 mg·kg-1), and high- (17.68 g·kg-1), medium- (8.84 g·kg-1), and low-dose (4.42 g·kg-1) combination groups (GQBZ combined with oxaliplatin). After the last administration, the transplanted tumor was collected and the tumor inhibition rate was calculated. Hematoxylin-eosin (HE) staining was used to observe the morphological changes of tumor tissues. Enzyme-linked immunosorbent assay (ELISA) was used to detect the serum content of epidermal growth factor (EGF), interleukin-8 (IL-8), and vascular endothelial growth factor (VEGF). Western blot and immunohistochemistry (IHC) were used to detect the expression of EGFR, phosphorylated EGFR (p-EGFR), VEGFR2, phosphorylated VEGFR2 (p-VEGFR2), and platelet-endothelial cell adhesion molecule (CD31). Real-time fluorescence-based quantitative polymerase chain reaction (Real-time PCR) was used to detect the mRNA expression of EGFR and VEGFR2. ResultThe tumor weight in the drug intervention groups was significantly lower than that in the model group (P<0.01). Compared with the oxaliplatin group, the high- and medium-dose combination groups showed reduced tumor weight (P<0.05, P<0.01). The tumor cells in the model groups were high in cell density and regular in shape, and no clear tissue necrosis was seen. The tumor cell density in the drug intervention groups was reduced, and clear tissue necrosis and large-scale inflammatory cells were visible. Compared with the blank group, the model group and the drug intervention groups showed increased serum levels of EGF, VEGF, and IL-8 (P<0.05, P<0.01). Compared with the model group, the drug intervention groups showed decreased serum levels of EGF, VEGF, and IL-8 (P<0.01), reduced protein expression of EGFR, p-EGFR, VEGFR2, p-VEGFR2, and CD31, and declining mRNA expression of EGFR and VEGFR (P<0.01). Compared with the oxaliplatin group, the high- and medium-dose combination groups showed decreased serum levels of EGF, VEGF, and IL-8 (P<0.05, P<0.01), reduced protein expression of EGFR, p-EGFR, VEGFR2, p-VEGFR2, and CD31, and dwindled mRNA expression of EGFR and VEGFR2 (P<0.05, P<0.01). The low-dose combination group showed decreased serum levels of EGF, VEGF, and IL-8, reduced protein expression of EGFR, p-EGFR, VEGFR2, p-VEGFR2, and CD31, and dwindled mRNA expression of EGFR and VEGFR2, but the difference was not statistically significant. ConclusionGQBZ combined with oxaliplatin can inhibit the growth and angiogenesis of tumor tissues in gastric cancer-bearing mice by affecting the expression of EGFR and VEGFR2.
8.Management strategy and practice for SARS-CoV-2 infection in children's hospital.
Ying GU ; Gong Bao LIU ; Ying Wen WANG ; Chuan Qing WANG ; Mei ZENG ; Guo Ping LU ; Zhong Lin WANG ; Ai Mei XIA ; Jin Hao TAO ; Xiao Wen ZHAI ; Wen Hao ZHOU ; Guo Ying HUANG ; Hong XU ; Yong Hao GUI ; Xiao Bo ZHANG
Chinese Journal of Pediatrics 2022;60(11):1107-1110
9.Reference value of lumbar spine bone mineral density and regional differences based on quantitative CT examination in healthy adult female in China
Ying JIN ; Kaiping ZHAO ; Jian QU ; Xia DU ; Yongli LI ; Shuang CHEN ; Yan WU ; Chunwei WU ; Guobin HONG ; Yong LU ; Yuqin ZHANG ; Xiao MA ; Jing LU ; Xigang XIAO ; Xiangyang GONG ; Zehong YANG ; Wei CHEN ; Miaomiao AN ; Ziyun WANG ; Siping NIE ; Lü YINGRU ; Jianbo GAO ; Shaolin LI ; Yuehua LI ; Qiang ZENG ; Xiaoguang CHENG ; Limei RAN
Chinese Journal of Health Management 2022;16(9):610-615
Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.
10.Correlation analysis of bone mineral density, hemoglobin and serum albumin in healthy population
Caiyun WANG ; Kaiping ZHAO ; Xiaojuan ZHA ; Limei RAN ; Shuang CHEN ; Yan WU ; Guobin HONG ; Yong LU ; Yuqin ZHANG ; Xiao MA ; Jing LU ; Xigang XIAO ; Xiangyang GONG ; Zehong YANG ; Wei CHEN ; Lü YINGRU ; Jianbo GAO ; Shaolin LI ; Yuehua LI ; Xia DU ; Qiang ZENG ; Xiaoguang CHENG ; Jing WU ; Yongli LI
Chinese Journal of Health Management 2022;16(9):616-622
Objective:To use quantitative computed tomography (QCT) technology to measure the bone mineral density of the spine of the Chinese healthy population, and to explore its correlation with hemoglobin and serum albumin.Methods:The data in this study came from the China Health Quantitative CT Big Data Project (China Biobank). The spine bone density was measured by using QCT Pro Image Analysis System and all cooperating centers used the European spine phantom (NO.145) for quality control. Total of 50 053 healthy persons who met the criteria for entry were selected as the research subjects. The subjects were divided into 7 groups according to age. The general data, spine bone density, serum albumin, hemoglobin of the subjects were collected. The single-factor analysis of variance, Pearson correlation analysis and multi-classification logistic regression model were applied to analyze the correlation between bone density and hemoglobin and serum albumin.Results:The bone mineral density of healthy people decreased with age ( P<0.05), and there were significant differences in hemoglobin, serum albumin and body mass index (BMI) among different age groups (all P<0.05). Linear correlation analysis showed that there were positive correlation between bone mineral density and hemoglobin in healthy males in different age groups ( r=0.086, 0.101, 0.076, 0.090, 0.072, 0.123, 0.100, all P<0.01). There were negative correlation between bone mineral density and hemoglobin in certain age groups in women (40-49 years group: r=-0.027; 70-79 yearsgroup: r=-0.077; both P<0.05). And corelation were found between bone mineral density and serum levels of albumin in certain age groups of healthy subjects (among men, 30-39 years group: r=-0.048; 40-49 years group, r=-0.027; 70-79 years group, r=-0.051; among women, 30-39 years group: r=-0.044; 40-49 years group, r=-0.042; 50-59 years group, r=-0.086; 70-79 years group, r=-0.070; all P<0.05). After adjusting for age and BMI, the multi-category logistic regression analysis showed that the hemoglobin level was protective factor of normal bone density ( OR=1.022, 95% CI:1.017-1.027) and decreased bone density ( OR=1.012, 95% CI:1.007-1.016) in healthy males, and the serum albumin was risk factor for normal bone density ( OR=0.926, 95% CI:0.905-0.948) and decreased bone density ( OR=1.006, 95% CI:0.951-1.011) in healthy women. Conclusion:There is a correlation between bone mineral density and hemoglobin and serum albumin in Chinese healthy population. Hemoglobin is a protective factor for bone mineral density in men, and serum albumin is a risk factor for bone mineral densityin women.

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