1.Analysis of the influence of meteorological factors on the number of patients with pulmonary heart disease in Liangzhou district of Gansu Province
Ru-ge JIA ; Zhong-lin ZHANG ; Shan-shan FEI ; Jing ZHANG
Chinese Journal of Disease Control & Prevention 2019;23(6):679-684
Objective To investigate the effect of meteorological factors on the number of outpatients with pulmonary heart disease in Liangzhou district of Gansu province. Methods We collected the daily meteorological data (temperature, air pressure, precipitation, sunshine hours, etc.) of Liangzhou district of Gansu province and the number of daily outpatients with the pulmonary heart disease from 2014 to 2016, and used the distribution lag model to analyze the impact relationship and hysteresis effect of the meteorological factors on the number of outpatients to pulmonary heart disease clinics. Results The total number of outpatients with pulmonary heart disease was 20 462 in Liangzhou district from 2014 to 2016, and the average number of outpatients per day was 18.67. The number of outpatients with pulmonary heart disease per day was positively correlated with temperature and sunshine hours, and negatively correlated with air pressure, relative humidity and precipitation. Among them, the average daily temperature had the most significant effect on the number of outpatients with pulmonary heart disease (r=0.133, P<0.001). At the highest daily average temperature, lagging 16 days,the relative risk coefficient (RR value) was the highest (1.26, 95% CI:1.13-1.40). For every 1 ℃ increase in temperature, the number of outpatients with pulmonary heart disease increased by 1.26 (95% CI: 1.13-1.40). There was no risk of morbidity at an extreme low temperature (-18 ℃), and the relative risk of the number of the pulmonary heart disease outpatients was the greatest at lag 0-15 at an extreme high temperatures (29 ℃). Conclusion Meteorological factor is an important factor affecting the number of outpatients with pulmonary heart disease in Liangzhou district. The risk of pulmonary heart disease will increase due to temperature changes, and the impact will occur immediately on the same day. The high temperature effect is short-lived and the relative risk is high, while the relative risk of low temperature to the number of outpatients is relatively low and the lag time is long.
2.Development and Verification of a Surgical Prognostic Nomogram for Patients with Cervical Cancer:Based on a Real World Cohort Study
Yuanyuan HE ; Ru JING ; Yanhong LV ; Junli GE ; Biliang CHEN ; Hong YANG ; Jia LI
Journal of Practical Obstetrics and Gynecology 2024;40(1):42-48
Objective:To develop and verify a nomogram to predict disease-free survival(DFS)and overall survival(OS)for patients undergoing cervical cancer surgery,which may provide reference for evaluating the prognosis of cervical cancer patients undergoing surgery.Methods:The clinical,pathological and follow-up data of patients who underwent radical operation for cervical cancer in Xijing Hospital,Air Force Medical University from March 2013 to October 2018 were analyzed retrospectively.Based on Cox regression analysis,Bayesian Informa-tion Criterion(BIC)backward stepwise selection method and R square screening variables,Net Reclassification Index(NRI)and Integrated Discrimination Improvement(IDI)were used to compare the predictive efficiency of the model,and a nomogram with better predictive efficiency was selected.The consistency index(C-index)and the receiver operating characteristic curve(ROC)were used to test the efficiency of the nomogram.Results:A total of 950 patients with cervical cancer were enrolled in this study.The risk factors for constructing the DFS nomogram were FIGO stage(2018),parametrium invasion,invasion depth,and maximum tumor diameter.The C-index for DFS in the training cohort and the verification cohort were 0.754 and 0.720,respectively.The area under ROC of the training cohort for 1-,3-and 5-years was 0.74(95%CI 0.65-0.82),0.77(95%CI 0.71-0.83)and 0.79(95%CI0.74-0.85),and the areas under ROC of verification cohort 1-,3-and 5-years were 0.72(95%CI 0.58-0.87),0.75(95%CI 0.64-0.86)and 0.72(95%CI 0.61-0.84),respectively.The risk factors for con-structing the OS nomogram were FIGO stage(2018),histological type,LVSI,parametrium invasion,surgical mar-gin,and invasion depth.The C-index for OS in the training cohort and the verification cohort were 0.737 and 0.759,respectively.The area under ROC of the 3-and 5-year training cohort were 0.76(95%CI 0.69-0.83)and 0.78(95%CI 0.72-0.84),and the areas under ROC of verification cohort 3-and 5-years were 0.76(95%CI 0.65-0.87)and 0.79(95%CI 0.69-0.88),respectively.Conclusions:This study is based on real-world big data to construct nomogram of DFS for 1,3,and 5 years and OS for 3,and 5 years for cervical cancer,which have ideal predictive effects and help clinical physicians correctly evaluate the prognosis of cervical cancer surgery patients.It provides strong reference basis for diagnosis,treatment,and prognosis evaluation.
3.Analgesic and sedative effects of Mongolian medicine Syringa pinnatifolia.
Sha-Na WUKEN ; Jun-Jun LI ; Jia-Ming WANG ; Jing-Ru CAO ; Yi CHEN ; Fu-Xing GE ; Chun-Sheng LIU ; Xing-Yun CHAI
China Journal of Chinese Materia Medica 2019;44(17):3830-3836
The peeled root,stem or twig of Syringa pinnatifolia is a representative Mongolian folk medicine with the effects of antidepression and pain relief. It has been used for the treatments of heart tingling,heart palpitations,upset,insomnia and other symptoms. Inspired by Mongolian medical theory and clinical practices,this study evaluated the analgesic effect of S. pinnatifolia ethanol extract( T) through three analgesic models including acetic acid writhing test,formalin test,and hot plate test,and the sedative effect of T was evaluated by locomotor activity and synergistic sleeping experiments,and furthermore the effects of T on the GABAergic nervous system were investigated by ELISA,immunohistochemistry,Western blot,and PCR methods. The results showed that T can significantly reduce the number of writhing,the time of paw licking and extend the thermal threshold of mice,suggesting the analgesic effect of T.T also can indicate its sedative effect by reducing the number of activities,decreasing latency of sleeping and extending sleeping time of mice. ELISA results showed that T can increase the content of GABA/Glu in rat cortex,hippocampus,and hypothalamus,and the most significant increase in hypothalamus. The immunohistochemistry and Western blot results showed that T can up-regulate the expression of GAD67 protein in hypothalamus,and the PCR results showed that T can up-regulate the expression of GABAA Rα1,α2,α3,α5,β1-3,γ1-3 genes,suggesting a sedative effect through the GABAergic nervous system. In conclusion,this study shed insight into the theoretical basis and clinical application of S. pinnatifolia,and also provides inspiration for subsequent development and application.
Analgesics
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pharmacology
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Animals
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Hypnotics and Sedatives
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pharmacology
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Medicine, Mongolian Traditional
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Mice
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Pain
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Plant Extracts
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pharmacology
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Rats
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Syringa
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chemistry
5.Analysis of peptides and proteins from Asini Corii Colla using nano LC-Q-Exactive-MS/MS.
Xia-Yan CHU ; Un Meng-Ru S ; Gui-Hua JIA ; Yan-Tao WANG ; Jian-Jun GU ; Hai-Bin LIU ; Guang-Bo GE
China Journal of Chinese Materia Medica 2021;46(24):6422-6434
This paper aims to systematically analyze the peptides and proteins from Asini Corii Colla(ACC) through shotgun proteomics. After high-pH reversed-phase fractionation, the proteins and peptides in the hydrolysate of ACC were further separated by nano LC-Q-Exactive-MS/MS under the following conditions: Thermo Scientific EASY column(100 μm×2 cm, 5 μm, C_(18)) as precolumn, Thermo Scientific EASY column(75 μm×100 mm, 3 μm, C_(18)) for solid phase extraction, gradient elution with 0.1% formic acid in water(mobile phase A) and 84% acetonitrile in water containing 0.1% formic acid(mobile phase B), and MS in positive ion mode. Based on Uniprot_Equus caballus, MS data, and literature, 2 291 peptides were identified from ACC by MaxQuant, with 255 Maillard reactions(AML, CML, CEL)-modified peptides identified for the first time. Through alignment, the peptides were found to belong to 678 equine proteins. In conclusion, the combination of nano LC-Q-Exactive-MS/MS and shotgun proteomics achieved rapid and accurate identification of the proteins and peptides in ACC, which provides the key information and new insights for further investigation of chemicals and effective substances in ACC.
Animals
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Chromatography, Liquid
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Horses
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Peptides
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Proteins
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Proteomics
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Tandem Mass Spectrometry
6.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
7.Inverted U-Shaped Associations between Glycemic Indices and Serum Uric Acid Levels in the General Chinese Population: Findings from the China Cardiometabolic Disease and Cancer Cohort (4C) Study.
Yuan Yue ZHU ; Rui Zhi ZHENG ; Gui Xia WANG ; Li CHEN ; Li Xin SHI ; Qing SU ; Min XU ; Yu XU ; Yu Hong CHEN ; Xue Feng YU ; Li YAN ; Tian Ge WANG ; Zhi Yun ZHAO ; Gui Jun QIN ; Qin WAN ; Gang CHEN ; Zheng Nan GAO ; Fei Xia SHEN ; Zuo Jie LUO ; Ying Fen QIN ; Ya Nan HUO ; Qiang LI ; Zhen YE ; Yin Fei ZHANG ; Chao LIU ; You Min WANG ; Sheng Li WU ; Tao YANG ; Hua Cong DENG ; Jia Jun ZHAO ; Lu Lu CHEN ; Yi Ming MU ; Xu Lei TANG ; Ru Ying HU ; Wei Qing WANG ; Guang NING ; Mian LI ; Jie Li LU ; Yu Fang BI
Biomedical and Environmental Sciences 2021;34(1):9-18
Objective:
The relationship between serum uric acid (SUA) levels and glycemic indices, including plasma glucose (FPG), 2-hour postload glucose (2h-PG), and glycated hemoglobin (HbA1c), remains inconclusive. We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population.
Methods:
The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study. A total of 105,922 community-dwelling adults aged ≥ 40 years underwent the oral glucose tolerance test and uric acid assessment. The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models.
Results:
A total of 30,941 men and 62,361 women were eligible for the current analysis. Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels, but with different inflection points in men and women. The thresholds for FPG, 2h-PG, and HbA1c for men and women were 6.5/8.0 mmol/L, 11.0/14.0 mmol/L, and 6.1/6.5, respectively (SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices).
Conclusion
An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes, while the inflection points were reached earlier in men than in women.
Aged
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Asian Continental Ancestry Group
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Blood Glucose/analysis*
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China/epidemiology*
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Cohort Studies
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Diabetes Mellitus/blood*
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Female
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Glucose Tolerance Test
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Glycated Hemoglobin A/analysis*
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Glycemic Index
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Humans
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Male
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Middle Aged
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Uric Acid/blood*