1.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
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Humans
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Consensus
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Computer Security/standards*
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Confidentiality/ethics*
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Informed Consent/ethics*
2.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
3.Topic Modeling Analysis of Chinese Medicine Literature on Gastroesophageal Reflux Disease: Insights into Potential Treatment.
Jia-Nan QIAN ; Yan-Lan KANG ; You-Cheng HE ; Hong-Yi HU
Chinese journal of integrative medicine 2024;30(12):1128-1136
OBJECTIVE:
To analyze Chinese medicine (CM) prescriptions for gastroesophageal reflux disease (GERD), we model topics on GERD-related classical CM literature, providing insights into the potential treatment.
METHODS:
Clinical guidelines were used to identify symptom terms for GERD, and CM literature from the database "Imedbooks" was retrieved for related prescriptions and their corresponding sources, indications, and other information. BERTopic was applied to identify the main topics and visualize the data.
RESULTS:
A total of 36,207 entries are queried and 1,938 valid entries were acquired after manually filtering. Eight topics were identified by BERTopic, including digestion function abate, stomach flu, respiratory-related symptoms, gastric dysfunction, regurgitation and gastrointestinal dysfunction in pediatric patients, vomiting, stroke and alcohol accumulation are associated with the risk of GERD, vomiting and its causes, regurgitation, epigastric pain, and symptoms of heartburn.
CONCLUSIONS
Topic modeling provides an unbiased analysis of classical CM literature on GERD in a time-efficient and scale-efficient manner. Based on this analysis, we present a range of treatment options for relieving symptoms, including herbal remedies and non-pharmacological interventions such as acupuncture and dietary therapy.
Humans
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Gastroesophageal Reflux/drug therapy*
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Medicine, Chinese Traditional/methods*
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Drugs, Chinese Herbal/therapeutic use*
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Models, Theoretical
4.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
5.Meta-analysis of the effects of xenogeneic acellular dermal matrix dressings in the treatment of wounds in burn patients.
Ai Jia YOU ; Wen Jie LI ; Jun Li ZHOU ; Chun LI
Chinese Journal of Burns 2023;39(2):175-183
Objective: To evaluate the efficacy and safety of xenogeneic acellular dermal matrix (ADM) dressings for the treatment of wounds in burn patients. Methods: The meta-analysis method was adopted. Databases including Chinese Journal Full-text Database, Wanfang Database, VIP Database, and Chinese Biomedical Database were retrieved with the search terms in Chinese version of ", , , " and PubMed, Embase, Web of Science, and Cochrane Library were retrieved with the search terms in English version of "xenogeneic acellular dermal matrix, dressing, burn wound, burn" to obtain the publicly published randomized controlled trials on the efficacy of xenogeneic ADM dressings for the treatment of wounds in burn patients from the establishment of each database to December 2021. The outcome indexes included wound healing time, ratio of scar hyperplasia, Vancouver scar scale (VSS) score, ratio of complications, ratio of skin grafting, and ratio of bacteria detection. Rev Man 5.3 and Stata 14.0 statistical softwares were used to conduct a meta-analysis of eligible studies. Results: A total of 1 596 burn patients from 16 studies were included, including 835 patients in experimental group who received xenogeneic ADM dressings therapy and 761 patients in control group who received other methods therapy. The bias risk of all the 16 included studies was uncertain. Compared with those in control group, patients in experimental group had significantly shorter wound healing time, lower VSS scores (with standardized mean differences of -2.50 and -3.10, 95% confidence intervals of -3.02--1.98 and -4.87--1.34, respectively, P values both <0.05), and lower ratios of scar hyperplasia, complications, skin grafting, and bacteria detection (with relative risks of 0.58, 0.23, 0.32, and 0.27, 95% confidence intervals of 0.43-0.80, 0.14-0.37, 0.15-0.67, and 0.11-0.69, respectively, P<0.05). Subgroup analysis showed that the difference of intervention measures in control group might be the source of heterogeneity in wound healing time. There was no publication bias in ratio of scar hyperplasia (P≥0.05), while there was publication bias in wound healing time, VSS score, and ratio of complications (P<0.05). Conclusions: Xenogeneic ADM dressings can shorten the wound healing time of burn patients, reduce the VSS score and the ratios of scar hyperplasia, complications, skin grafting, and bacteria detection.
Humans
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Cicatrix
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Acellular Dermis
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Hyperplasia
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Burns/therapy*
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Bandages
6.Chest or Abdominal Compression for Prevention of Respiratory Depression in Patients under Propofol Sedation during Gastroscopy
Xiamait AERDAKE ; Jing-ru WEI ; Tian-you LU ; Kang-feng MAI ; Jia-ai LI ; Chao-jin CHEN ; Zi-qing HEI ; Xiao-yun LI
Journal of Sun Yat-sen University(Medical Sciences) 2022;43(4):631-638
ObjectiveTo explore the preventive effects of chest compression, abdominal compression and combined thoracoabdominal compression on propofol-induced respiratory depression during gastroscopy. MethodsA total of 544 patients underwent propofol sedation during gastroscopy in our hospital were randomly divided into 4 groups (n=136 each): Group C (control group), Group T (chest compression group), Group A (abdominal compression group) and T&A (combined thoracoabdominal compression group). Altogether 20 chest, abdominal and combined thoracoabdominal compressions were started respectively on patients in Group T, A and T&A before performing gastroscopy and after unconsciousness at a rate of 30 compressions per minute with a compression depth of 2~3 cm. The incidence of oxygen desaturation (SpO2
7.Comparison of Diagnosing and Staging Accuracy of PET (CT) and MIBG on Patients with Neuroblastoma: Systemic Review and Meta-analysis
XIA JIA ; ZHANG HANG ; HU QUN ; LIU SHUANG-YOU ; ZHANG LIU-QING ; ZHANG AI ; ZHANG XIAO-LING ; WANG YA-QIN ; LIU AI-GUO
Journal of Huazhong University of Science and Technology (Medical Sciences) 2017;37(5):649-660
To perform a systemic review and meta-analysis of the diagnostic accuracy of PET (CT) and metaiodobenzylguanidine (MIBG) for diagnosing neuroblastoma (NB),electronic databases were searched as well as relevant references and conference proceedings.The diagnostic accuracy of MIBG and PET (CT) was calculated for NB,primary NB,and relapse/metastasis of NB based on their sensitivity,specificity,and area under the summary receiver operating characteristic curve (AUSROC) in terms of per-lesion and per-patient data.A total of 40 eligible studies comprising 1134 patients with 939 NB lesions were considered for the meta-analysis.For the staging of NB,the per-lesion AUSROC value of MIBG was lower than that of PET (CT) [0.8064±0.0414 vs.0.9366±0.0166 (P<0.05)].The per-patient AUSROC value of MIBG and PET (CT) for the diagnosis of NB was 0.8771±0.0230 and 0.6851±0.2111,respectively.The summary sensitivity for MIBG and PET (CT) was 0.79 and 0.89,respectively.The summary specificity for MIBG and PET (CT) was 0.84 and 0.71,respectively.PET (CT) showed higher per-lesion accuracy than MIBG and might be the preferred modality for the staging of NB.On the other hand,MIBG has a comparable diagnosing performance with PET (CT) in per-patient analysis but shows a better specificity.
8.Gelsolin level for prognostic evaluation in patients with critically illness.
Xiao-qin ZHANG ; Hong PU ; Yi-ping WANG ; Jia-jia LI ; Ling-ai PAN ; You-jin HUANG ; Chun-ling LI
Journal of Zhejiang University. Medical sciences 2014;43(5):541-545
OBJECTIVETo investigate the changes of plasma gelsolin level in patients with critical illness and its application in prognostic evaluation.
METHODSNinety six critically ill patients admitted in ICU of Sichuan Provincial People's Hospital from February 2012 to December 2013 were enrolled in the prospective cohort study. Plasma gelsolin levels were detected with enzyme linked immunosorbent assay (ELISA) at admission (d1), d2, d4 and d8 after admission, and also detected in blood samples of 186 healthy subjects as controls. Logistic regression model was used to analyze the relationship between the level of plasma gelsolin and prognosis of patients.
RESULTSThe average levels of plasma gelsolin were significantly lower in critically ill patients than those in control subjects (F=1986.37, P<0.01). There was significant difference in overall level of gelsolin between survival patients and fatal patients (F=16.691, P<0.01). APACHE Ⅱ score was associated with survival outcomes (r=0.489, P=0.009); the APACHE Ⅱ score was significantly higher in fatal patients than that in survival patients (29.5±7.7 vs 22.1±5.7, t=5.375, P<0.01). There was a negative correlation between plasma gelsolin levels and fatal outcomes (r=-0.512, P<0.01). Logistic regression analysis showed that the overall plasma gelsolin levels and the last measured level was a prognostic factor for critically ill patients (P<0.05).
CONCLUSIONPlasma gelsolin levels are correlated with the severity of critically ill patients, and plasma gelsolin can be used as indicator of prognosis.
APACHE ; Case-Control Studies ; Critical Illness ; Enzyme-Linked Immunosorbent Assay ; Gelsolin ; blood ; Humans ; Logistic Models ; Plasma ; Prognosis ; Prospective Studies
9.Relationship of iron overload to bone mass density and bone turnover in postmenopausal women with fragility fractures of the hip.
Lin-Lin ZHANG ; Xi-Feng JIANG ; Hong-Zhen AI ; Zong-da JIN ; Jun-Xiang XU ; Bing WANG ; Wei XU ; Zong-Gang XIE ; Hai-Bin ZHOU ; Qi-Rong DONG ; You-Jia XU
Chinese Journal of Surgery 2013;51(6):518-521
OBJECTIVETo study relationships between serum ferritin and bone metabolism in patients with hip fragility fractures.
METHODSThis cross-sectional study included 76 postmenopausal women with hip fracture from Feburary 2011 to June 2012. The mean age of the women was (73 ± 10) years (range, 55-93 years) and the mean duration of menstruation was (22 ± 10)years (range, 5-50 years). Serum concentrations of ferritin, transferrin, alkaline phosphatase (ALP), amino-terminal extension peptide of type I collagen (P1NP), C-terminal telopeptides of type I collagen (β-CTX)and femoral and lumbar bone mineral density by dual-energy X-ray absorptiometry were measured. Bone metabolism was compared between normal and elevated ferritin groups with t-test, Pearson linear, partial correlation and multiple regression analysis examined associations between iron- and bone-related markers.
RESULTSSerum ferritin concentration raised to (230 ± 146)µg/L, transferrin concentration reduced to (1.89 ± 0.33)g/L. P1NP concentration raised to (61 ± 32) ng/L when the concentration of serum ALP and β-CTX were in the normal range. T-scores for bone mineral density in the femoral neck (-2.0 ± 1.1) and lumbar (-2.1 ± 1.2) were below the normal ranges(-1.0-1.0). The subjects were divided into two groups according to serum ferritin concentration, normal group(serum ferritin concentration ≤ 150 µg/L, n = 25) and elevated group(serum ferritin concentration > 150 µg/L, n = 51). Patients of elevated group had lower bone mineral density in femoral neck and lumbar than normal group(t = 3.13,2.89, P < 0.01), and higher P1NP, β-CTX concentration (t = -2.38, -3.59, P < 0.05) . In partial correlation analysis adjusted for confounders, serum ferritin concentration was correlated negatively with bone mineral density in both femoral neck and lumbar (r = -0.335,-0.295, P < 0.05), and positively with P1NP and β-CTX (r = 0.467,0.414, P < 0.05), but not correlated with ALP (r = 0.188, P > 0.05). Transferrin concentration tended to be correlated positively with bone mineral density in both femoral neck and lumbar (r = 0.444, 0.262, P < 0.05) and negatively with ALP, P1NP and β-CTX(r = -0.326,-0.285,-0.278, P < 0.05).
CONCLUSIONSIron overload has a high prevalence in postmenopausal women with fragility fracture. Increased iron stores, which might lead to bone loss and lower bone mineral density by enhancing the activity of bone turnover, could be an independent factor to take effects on bone metabolism on postmenopausal women.
Aged ; Aged, 80 and over ; Bone Density ; Bone Remodeling ; Collagen Type I ; blood ; Cross-Sectional Studies ; Female ; Hip Fractures ; metabolism ; Humans ; Iron Overload ; Iron-Binding Proteins ; metabolism ; Middle Aged ; Osteoporosis, Postmenopausal ; metabolism ; Postmenopause ; Retrospective Studies
10.Prevalence, awareness, treatment, and control of hypertension in the non-dialysis chronic kidney disease patients.
Ying ZHENG ; Guang-Yan CAI ; Xiang-Mei CHEN ; Ping FU ; Jiang-Hua CHEN ; Xiao-Qiang DING ; Xue-Qing YU ; Hong-Li LIN ; Jian LIU ; Ru-Juan XIE ; Li-Ning WANG ; Zhao-Hui NI ; Fu-You LIU ; Ai-Ping YIN ; Chang-Ying XING ; Li WANG ; Wei SHI ; Jian-She LIU ; Ya-Ni HE ; Guo-Hua DING ; Wen-Ge LI ; Guang-Li WU ; Li-Ning MIAO ; Nan CHEN ; Zhen SU ; Chang-Lin MEI ; Jiu-Yang ZHAO ; Yong GU ; Yun-Kai BAI ; Hui-Min LUO ; Shan LIN ; Meng-Hua CHEN ; Li GONG ; Yi-Bin YANG ; Xiao-Ping YANG ; Ying LI ; Jian-Xin WAN ; Nian-Song WANG ; Hai-Ying LI ; Chun-Sheng XI ; Li HAO ; Yan XU ; Jing-Ai FANG ; Bi-Cheng LIU ; Rong-Shan LI ; Rong WANG ; Jing-Hong ZHANG ; Jian-Qin WANG ; Tan-Qi LOU ; Feng-Min SHAO ; Feng MEI ; Zhi-Hong LIU ; Wei-Jie YUAN ; Shi-Ren SUN ; Ling ZHANG ; Chun-Hua ZHOU ; Qin-Kai CHEN ; Shun-Lian JIA ; Zhi-Feng GONG ; Guang-Ju GUAN ; Tian XIA ; Liang-Bao ZHONG ; null
Chinese Medical Journal 2013;126(12):2276-2280
BACKGROUNDData on the epidemiology of hypertension in Chinese non-dialysis chronic kidney disease (CKD) patients are limited. The aim of the present study was to investigate the prevalence, awareness, treatment, and control of hypertension in the non-dialysis CKD patients through a nationwide, multicenter study in China.
METHODSThe survey was performed in 61 tertiary hospitals in 31 provinces, municipalities, and autonomous regions in China (except Hong Kong, Macao, and Taiwan). Trained physicians collected demographic and clinical data and measured blood pressure (BP) using a standardized protocol. Hypertension was defined as systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg, and/or use of antihypertensive medications. BP < 140/90 mmHg and < 130/80 mmHg were used as the 2 thresholds of hypertension control. In multivariate logistic regression with adjustment for sex and age, we analyzed the association between CKD stages and uncontrolled hypertension in non-dialysis CKD patients.
RESULTSThe analysis included 8927 non-dialysis CKD patients. The prevalence, awareness, and treatment of hypertension in non-dialysis CKD patients were 67.3%, 85.8%, and 81.0%, respectively. Of hypertensive CKD patients, 33.1% and 14.1% had controlled BP to < 140/90 mmHg and < 130/80 mmHg, respectively. With successive CKD stages, the prevalence of hypertension in non-dialysis CKD patients increased, but the control of hypertension decreased (P < 0.001). When the threshold of BP < 130/80 mmHg was considered, the risk of uncontrolled hypertension in CKD 2, 3a, 3b, 4, and 5 stages increased 1.3, 1.4, 1.4, 2.5, and 4.0 times compared with CKD 1 stage, respectively (P < 0.05). Using the threshold of < 140/90 mmHg, the risk of uncontrolled hypertension increased in advanced stages (P < 0.05).
CONCLUSIONSThe prevalence of hypertension Chinese non-dialysis CKD patients was high, and the hypertension control was suboptimal. With successive CKD stages, the risk of uncontrolled hypertension increased.
Adult ; Aged ; Awareness ; Female ; Humans ; Hypertension ; complications ; epidemiology ; therapy ; Male ; Middle Aged ; Prevalence ; Renal Insufficiency, Chronic ; complications

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