1.Analysis of thyroid hormone indicators among interventionaland diagnostic radiologists
ZHANG Qun ; WANG Aihong ; YU Xiaopin ; YING Zhengju ; QU Lingyan ; ZHANG Dandan
Journal of Preventive Medicine 2024;36(2):152-155,158
Objective:
To learn the levels of thyroid hormone indicators among interventional and diagnostic radiologists, so as to provide insights into occupational health monitoring of radiologists.
Methods:
Demographic information, body mass index (BMI), thyroid hormone indicators and cumulative individual doses over 5 years among interventional and diagnostic radiologists were collected through the personal dosimetry monitoring database of Ningbo Center for Disease Control and Prevention and the Occupational Health Examination Center of a tertiary hospital in Ningbo City. The thyroid hormone indicators of different job types and cumulative individual doses over 5 years were analyzed, and factors affecting the thyroid hormone indicators were identified using a multivariable ordinal logistic regression model.
Results:
There were 159 interventional and 159 diagnostic radiologists included, and the proportions of abnormal thyroid hormone indicators were 9.43% and 12.26%, respectively, with no statistically significant difference (P>0.05). The levels of triiodothyronine and free triiodothyronine in interventional radiologists were lower than those in diagnostic radiologists [(1.54±0.41) vs. (1.68±0.34) nmol/L, (5.13±1.07) vs. (5.55±0.87) pmol/L; both P<0.05]. The levels of triiodothyronine and free triiodothyronine were significantly different among radiologists with cumulative individual doses over 5 years of <1.5 mSv, 1.5-<3.0 mSv and ≥3.0 mSv [(1.69±0.31), (1.69±0.40) vs. (1.52±0.41) nmol/L, (5.60±0.83), (5.32±0.94) vs. (5.14±1.09) pmol/L; both P<0.05]. Multivariable ordinal logistic regression analysis identified BMI (<18.5 kg/m2, OR=0.111, 95%CI: 0.028-0.436) and cumulative individual doses over 5 years (<1.5 mSv, OR=6.259, 95%CI: 2.368-16.547) as the factors affecting triiodothyronine, and job types (diagnostic radiologists, OR=3.171, 95%CI: 1.529-6.574), BMI (18.5-<24.0 kg/m2, OR=0.393, 95%CI: 0.184-0.842), and gender (men, OR=3.449, 95%CI: 1.294-9.190) as the factors affecting free triiodothyronine.
Conclusion
Occupational exposure has a certain impact on the thyroid hormone indicators among interventional and diagnostic radiologists, and the main influencing factors include BMI, radiation dose, job type and gender.
2.Longitudinal study on catch-up growth in preterm infants with small for gestational age at corrected ages 0-24 months
Jia-Mei LI ; Qun-Ying XIE ; Yu-Qi WEN ; Yan-Yan SONG ; Hui-Ying LIANG ; Yan HU
Chinese Journal of Contemporary Pediatrics 2024;26(1):72-80
Objective To understand the growth and development status and differences between small for gestational age(SGA)and appropriate for gestational age(AGA)preterm infants during corrected ages 0-24 months,and to provide a basis for early health interventions for preterm infants.Methods A retrospective study was conducted,selecting 824 preterm infants who received regular health care at the Guangzhou Women and Children's Medical Center from July 2019 to July 2022,including 144 SGA and 680 AGA infants.The growth data of SGA and AGA groups at birth and corrected ages 0-24 months were analyzed and compared.Results The SGA group had significantly lower weight and length than the AGA group at corrected ages 0-18 months(P<0.05),while there were no significant differences between the two groups at corrected age 24 months(P>0.05).At corrected age 24 months,85%(34/40)of SGA and 79%(74/94)of AGA preterm infants achieved catch-up growth.Stratified analysis by gestational age showed that there were significant differences in weight and length at corrected ages 0-9 months between the SGA subgroup with gestational age<34 weeks and the AGA subgroups with gestational age<34 weeks and≥34 weeks(P<0.05).In addition,the weight and length of the SGA subgroup with gestational age≥34 weeks showed significant differences compared to the AGA subgroups with gestational age<34 weeks and≥34 weeks at corrected ages 0-18 months and corrected ages 0-12 months,respectively(P<0.05).Catch-up growth for SGA infants with gestational age<34 weeks and≥34 weeks mainly occurred at corrected ages 0-12 months and corrected ages 0-18 months,respectively.Conclusions SGA infants exhibit delayed early-life physical growth compared to AGA infants,but can achieve a higher proportion of catch-up growth by corrected age 24 months than AGA infants.Catch-up growth can be achieved earlier in SGA infants with a gestational age of<34 weeks compared to those with≥34 weeks.
3.Post-operative healthcare-associated infection influencing factors and me-diating effect of diagnosis-intervention packet payment differentials in colorectal cancer patients
Yu RONG ; Qian-Qian HUANG ; Jia-Yi OU ; Shu-Liang YU ; Ye-Ying SONG ; Wei-Qun LU ; Li-Ming REN ; Yao FU ; Jian-Hui LU
Chinese Journal of Infection Control 2024;23(11):1421-1429
Objective To explore the potential influencing factors of post-operative healthcare-associated infection(HAI)in colorectal cancer patients,as well as the mediating effect relationship between the influencing factors and the diagnosis-intervention packet(DIP)payment differentials.Methods Medical data of patients who underwent colorectal cancer surgery in a tertiary first-class cancer hospital in Guangzhou were retrospectively analyzed.According to HAI status,patients were divided into infection group and non-infection group.Baseline demographic information and differences in DIP payment differentials between two groups of patients were compared by rank sum test or chi-square test.The influence of each potential factor on the occurrence of HAI was analyzed by logistic re-gression.Mediating analysis was preformed by bootstrap method,and mediating effect of HAI and total hospitaliza-tion days on DIP payment differentials was evaluated.Results A total of 350 patients were included in analysis,50 were in the infection group and 300 in the non-infection group.The incidence of HAI was 14.29%.Logistic regres-sion analysis result showed that risk of HAI in patients with central venous catheterization ≥10.00 days was 13.558 times higher than that<10.00 days(P<0.001);risk of HAI in patients with urinary catheterization ≥3.00 days was 2.388 times higher than that<3.00 days(P=0.022).There were all statistically significant differences in DIP payment differentials among patients with different ages,prognostic nutritional index(PNI),HAI status,total length of hospitalization stay,duration of surgery,central venous catheterization days,and catheterization days(all P<0.05).The mediating analysis results showed that the occurrence of HAI resulted a change in DIP payment di-fferentials by affecting the total number of hospitalization days.The mediating effect value of total hospitalization days was 0.038,accounting for 35.68%of the total effect.Conclusion Medical institutions should pay attention to HAI resulting from prolonged central venous and urinary catheterization in patients underwent surgery for colorectal cancer,reducing the total length of hospital stay,thus reducing the overruns associated with the increased DIP pay-ment differentials.
4.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
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 ; 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 ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%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)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed 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 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
5.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.
6.HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems.
Ping LI ; Ying WU ; Yan XIE ; Feng CHEN ; Shao qiang CHEN ; Yun Hao LI ; Qing Qing LU ; Jing LI ; Yong Wei LI ; Dong Xu PEI ; Ya Jun CHEN ; Hui CHEN ; Yan LI ; Wei WANG ; Hai WANG ; He Tao YU ; Zhu BA ; De CHENG ; Le Ping NING ; Chang Liang LUO ; Xiao Song QIN ; Jin ZHANG ; Ning WU ; Hui Jun XIE ; Jina Hua PAN ; Jian SHUI ; Jian WANG ; Jun Ping YANG ; Xing Hui LIU ; Feng Xia XU ; Lei YANG ; Li Yi HU ; Qun ZHANG ; Biao LI ; Qing Lin LIU ; Man ZHANG ; Shou Jun SHEN ; Min Min JIANG ; Yong WU ; Jin Wei HU ; Shuang Quan LIU ; Da Yong GU ; Xiao Bing XIE
Chinese Journal of Preventive Medicine 2023;57(7):1047-1058
Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy
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Child
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Humans
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Female
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Glycated Hemoglobin
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Cohort Studies
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Diabetes Mellitus/diagnosis*
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Sensitivity and Specificity
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ROC Curve
7.Association between gestational diabetes mellitus and preterm birth subtypes.
Kai Lin WANG ; Miao ZHANG ; Qing LI ; Hui KAN ; Hai Yan LIU ; Yu Tong MU ; Zong Guang LI ; Yan Min CAO ; Yao DONG ; An Qun HU ; Ying Jie ZHENG
Chinese Journal of Epidemiology 2023;44(5):809-815
Objective: To investigate the association between gestational diabetes mellitus (GDM) and preterm birth subtypes. Methods: Based on the cohort of pregnant women in Anqing Prefectural Hospital, the pregnant women who received prenatal screening in the first or second trimesters were recruited into baseline cohorts; and followed up for them was conducted until delivery, and the information about their pregnancy status and outcomes were obtained through electronic medical record system and questionnaire surveys. The log-binomial regression model was used to explore the association between GDM and preterm birth [iatrogenic preterm birth, spontaneous preterm birth (preterm premature rupture of membranes and preterm labor)]. For multiple confounding factors, the propensity score correction model was used to compute the adjusted association. Results: Among the 2 031 pregnant women with a singleton delivery, the incidence of GDM and preterm birth were 10.0% (204 cases) and 4.4% (90 cases) respectively. The proportions of iatrogenic preterm birth and spontaneous preterm birth in the GDM group (n=204) were 1.5% and 5.9% respectively, while the proportions in non-GDM group (n=1 827) were 0.9% and 3.2% respectively, and the difference in the proportion of spontaneous preterm birth between the two groups was significant (P=0.048). Subtypes of spontaneous preterm were further analyzed, and the results showed that the proportions of preterm premature rupture of membranes and preterm labor in the GDM group were 4.9% and 1.0% respectively, while the proportions in the non-GDM group were 2.1% and 1.1% respectively. It showed that the risk of preterm premature rupture of membranes in GDM pregnant women was 2.34 times (aRR=2.34, 95%CI: 1.16-4.69) higher than that in non-GDM pregnant women. Conclusions: Our results showed that GDM might increase the risk of preterm premature rupture of membranes. No significant increase in the proportion of preterm labor in pregnant women with GDM was found.
Infant, Newborn
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Female
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Pregnancy
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Humans
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Premature Birth
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Diabetes, Gestational
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Obstetric Labor, Premature
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Hospitals
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Iatrogenic Disease
8.Jianpi Peiyuan acupoint thread embedding therapy for perimenopausal obesity: a randomized controlled trial.
Ying WANG ; Hong-Yu YUE ; Ying-Qi CHEN ; Xuan YIN ; Shi-Fen XU ; Yi-Qun MI ; Shan-Shan LI
Chinese Acupuncture & Moxibustion 2023;43(3):294-298
OBJECTIVE:
To observe the clinical efficacy and safety of Jianpi Peiyuan acupoint thread embedding therapy on perimenopausal obesity (PMO).
METHODS:
Ninety-six patients of PMO were randomly divided into an observation group (48 cases) and a control group (48 cases). The control group received health education and lifestyle intervention. On the basis of the treatment in the control group, the observation group was treated with acupoint thread embedding at the main acupoints of Shangwan (CV 13), Zhongwan (CV 12), Xiawan (CV 10), Yinlingquan (SP 9) and Fenglong (ST 40), etc. as well as the supplementary acupoints in accordance with the syndrome differentiation, once every 2 weeks for 8 weeks (4 times in total). The indexes of obesity (body mass index [BMI], waist circumference, hip circumference and body mass), modified Kupperman score, insomnia severity index (ISI) score, self-rating anxiety scale (SAS) score, and self-rating depression scale (SDS) score of the two groups were observed before and after treatment, and the safety was evaluated.
RESULTS:
After treatment, BMI, waist circumference, hip circumference and body mass in the two groups were lower than before treatment (P<0.05), and those in the observation group were lower than the control group (P<0.05). After treatment, Kupperman, ISI and SAS scores in the observation group were lower than before treatment (P<0.05), and ISI score in the control group was lower than before treatment (P<0.05). Kupperman, ISI and SAS scores in the observation group were lower than those in the control group (P<0.05). There was no significant difference in SDS between the two groups or within groups (P>0.05). No serious adverse reactions occurred during the experiment.
CONCLUSION
Jianpi Peiyuan acupoint thread embedding therapy can reduce the degree of obesity in PMO patients, and improve patients' the perimenopausal symptoms, insomnia and anxiety, with good safety.
Humans
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Acupuncture Points
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Perimenopause
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Sleep Initiation and Maintenance Disorders
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Anxiety
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Obesity
9. In vitro bacteriostatic and serum pharmacological tests of Qiguiyin decoction combined with levofloxacin against pseudomonas aeruginosa
Xiao-Jing LAI ; Wan-Qiao ZHANG ; Yan-Ling LI ; Yu-Ying GUO ; Ming QIN ; Guang XU ; Li JI ; Qun MA ; Jun WU ; Qing-Quan LIU
Chinese Pharmacological Bulletin 2023;39(6):1182-1189
Aim To investigate the antibacterial activity and anti-resistant mutation ability of Qiguiyin decoction (a traditional Chinese herbal formula) combined with levofloxacin against pseudomonas aeruginosa byantibacterial experiment in vitro and serum pharmacology. Methods The minimal inhibitory concentrations (MICs) of levofloxacin and Qiguiyin decoction were detected respectively by the broth dilution technique.The MIC of the combination of two drugs was determined by the micro chessboard dilution method. The effects of combined drugs on enhancing the antibacterial activity of different strains were evaluated respectively by calculating the fractional inhibitory concentration index (FICI). The drug-containing serum of levofloxa-cin group, Qiguiyin decoction group, Qiguiyin decoction combined with levofloxacin group and control group was prepared. The antibacterial rate, MIC and MBC of 10% ~ 90% serum against the two strains were determined. Results Combined with Qiguiyin decoction, MIC of levofloxacin against pseudomonas aeruginosa (standard/resistant) decreased significantly, 0. 5 < FICI ^ 1. With the increase of the proportion of serum, the inhibitory rate of 10% ~ 90% drug-containing serum to pseudomonas aeruginosa (standard/resistant) increased gradually.compared with the control group, the inhibitory effect of the Qiguiyin group on bacteria was significantly enhanced. The MIC
10.Relationship Between Maternal Negative Emotions and Feeding Patterns of Infants Aged 0-6 Months in Remote Rural Areas of Sichuan Province.
Chen-Fan LIAO ; Zheng-Jie CAI ; Fang-Qun LENG ; Rui-Qian WANG ; Ying LIAO ; Yu-Ju WU ; Huan ZHOU
Acta Academiae Medicinae Sinicae 2023;45(4):541-548
Objective To investigate the status of exclusive breastfeeding and bottle feeding in remote rural areas of Sichuan province and explore the relationship between negative emotions of mothers and feeding patterns of infants.Methods Multistage cluster sampling was employed to select the infants aged 0-6 months and their mothers in remote rural areas of Sichuan province.A self-designed questionnaire was used to collect the demographic characteristics of mothers and infants and the basic family information.The Chinese version of Depression Anxiety Stress scale was used to evaluate mothers' negative emotions,and the Breastfeeding Self-efficacy scale to assess the confidence level of mothers' behavior of adhering to exclusive breastfeeding.Results Totally 723 pairs of infants and their mothers were included.The exclusive breastfeeding and bottle feeding rates were 34.16% (247/723) and 57.54% (416/723),respectively.Mothers with depression tendency were less likely to adopt exclusive breastfeeding (OR=0.532,95%CI=0.291-0.974,P=0.041) and more likely to adopt bottle feeding (OR=1.877,95%CI=1.054-3.344,P=0.033).Further subgroup analysis of breastfeeding self-efficacy showed that in the group of low self-efficacy,the mothers with depression tendency were less likely to adopt exclusive breastfeeding (OR=0.461,95%CI=0.236-0.902,P=0.024) and more likely to adopt bottle feeding (OR=1.968,95%CI=1.047-3.701,P=0.036) than the mothers without depression tendency.In the group of high self-efficacy,mothers' depression,anxiety,and stress tendency had no significant correlation with infant feeding patterns (all P>0.05).Conclusions The mothers in the remote rural areas of Sichuan province are more likely to employ bottle feeding than exclusive breastfeeding.The mothers with stronger depression tendency demonstrate lower possibility of exclusive breastfeeding and higher possibility of bottle feeding.Breastfeeding self-efficacy may affect the association between maternal depression and infant feeding patterns.
Humans
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Infant
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Anxiety
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China
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Feeding Behavior
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Self Efficacy
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East Asian People
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Mothers/psychology*
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Depression/epidemiology*


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