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【Objective】 To explore the geographical environment factors that may affect serum uric acid (UA) of healthy people and explore the change trend of UA reference value at the national scale. 【Methods】 The UA reference values of 607905 healthy people from 565 loci in China were collected, and the correlation between 25 geographical environment factors and UA reference values was analyzed by correlation analysis. CatBoost model was constructed and SHAP value interpretation model was applied to predict the UA reference values of healthy people in counties and cities in China, and the geographical distribution map of UA reference values of healthy people in China was drawn by using ordinary Kriging. 【Results】 A total of 20 indicators, namely, latitude, altitude, annual average temperature, annual average relative humidity, annual precipitation, air temperature annual range, annual average wind speed, percentage of surface soil silt, surface soil bulk density, surface soil gravel content, surface soil organic matter content, surface soil PH, surface soil (clay) cation exchange capacity, surface soil (silt) cation exchange capacity, surface soil base saturation, total surface soil exchange capacity, T-CaCO3, T-CaSO4, surface soil alkalinity, and surface soil salt showed their correlation with UA reference value of healthy people nationwide. The spatial distribution of UA reference values of healthy people across the country differed, manifested as the changing trend of higher in high altitude regions, higher in coastal regions than in inland regions, lower in the mid-eastern region, and higher in Southwest China at similar altitudes. 【Conclusion】 This study lays a foundation for further studies on the mechanism of different influencing factors on UA reference value. CatBoost model was established to provide the basis for establishing reference standards using UA reference values as prognostic factors for hyperuricemia and related chronic diseases in different regions.
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【Objective】 This paper screened the factors that may influence the spatial differentiation of Neutrophil-to-lymphocyte ratio （NLR） reference values in healthy adults in China and explored the trend of NLR reference values in China. 【Methods】 For this research， we collected the NLR of 162 681 healthy adults from 62 cities in China. Spearman regression analysis was used to analyze the correlation between NLR and 25 geography secondary indexes. We extracted 9 indexes with significant correlation， built a random forest （RF） model， and predicted the country’s urban healthy adults’ NLR reference value. By using the disjunctive Kriging method， we obtained the geographical distribution of NLR reference value of healthy adults in China. 【Results】 The reference value of NLR of healthy adults in China was significantly correlated with the 9 secondary indexes， namely， altitude， sunshine duration， annual average temperature， annual average relative humidity， annual temperature range， annual average wind speed， content of organic matter in topsoil， cation exchange capacity in topsoil （clay）， and total amount of CaSO4 in soil. The geographical distribution of NLR values of healthy adults in China showed a trend of being higher in Southeast China and lower in Northwest China， higher in coastal areas and lower in inland areas. 【Conclusion】 This study lays a foundation for further research on the mechanism of different influencing factors on the reference value of NLR index. A random forest model composed of significant influencing factors has been established to provide the basis for formulating reference criteria for the prognostic factors of the novel coronavirus using NLR reference values in different regions.
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【Objective】 To explore the correlation between serum trace elements and systolic and diastolic blood pressure in healthy population and patients with hypertension. 【Methods】 The health examination data of the subjects from our hospital from September 2018 to May 2021 were selected. They consisted of 3430 healthy people with no history of chronic diseases and 216 patients with hypertension previously diagnosed. We measured the levels of serum zinc， iron， calcium， magnesium， lead， copper and cadmium and analyzed their correlation with systolic blood pressure （SBP） and diastolic blood pressure （DBP）. 【Results】 The incidence of low zinc （9.5%） and hypomagnesemia （1.8%） was relatively low， while hypomagnesemia （27.8%） was relatively common in the healthy population. Logistic regression analysis showed that age， BMI and serum albumin were associated with increased SBP and DBP. Fasting blood glucose （OR=1.095， 95% CI： 1.007-1.191） and blood lead （OR=1.006， 95% CI： 1.000-1.012） were risk factors for SBP. Serum total cholesterol （OR=1.244， 95% CI： 1.095-1.412）， serum iron （OR=1.275， 95% CI： 1.114-1.460） and blood lead （OR=1.010， 95% CI： 1.004-1.015） were risk factors， while serum magnesium （OR=0.488， 95% CI： 0.266-0.894） acted as a protective factor for DBP. After adjusting for age， gender， BMI， waist-hip ratio， and smoking history， there was no significant difference in serum trace element levels between the hypertension and healthy control groups. 【Conclusion】 SBP is correlated with serum lead， while DBP is positively correlated with serum iron and lead， but negatively correlated with serum magnesium in normal healthy population. There was no significant difference in serum trace element content between hypertensive patients and healthy control group， but the conclusion still needs to be further verified.
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Objective To investigate the clinical therapeutic methods and their curative effects in recurrent ischemic angina for internal mammary artery resterosis after coronary artery bypass grafting (CABG).Methods We enrolled the patients who had recurrence of ischemic angina for restenosis of internal mammary artery graft after CABG as research subjects in the Affiliated Hospital of Yan'an University from January 2014 to January 2016.The 42 patients were divided into three groups according to the different treatment approaches for recurrence of ischemic angina:Group A (n=22)who received internal mammary artery interventional therapy;Group B (n=12)who received coronary artery bypass grafting treatment;and Group C (n=8)who received left subclavian artery proximal stent treatment.Then we compared the clinical therapeutic effects in the three groups.Results The success rate in Group C was 100%,which was the highest in the three groups,and the post-operative restenosis rate was 0.The hospitalization time was significantly shorter in Group A than in Group B (P＜0.05).However,the two groups did not significantly differ in mortality,success rate or restenosis rate (P＞0.05).Conclusion We should select the appropriate treatment according to the patient's specific situation for recurrent ischemic angina. Endovascular treatment has evident therapeutic effects,rapid postoperative recovery,and lower treatment risk, making it the preferred treatment when possible.
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Objective To investigate the predictive values of platelet to lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR)before percutaneous coronary intervention (PCI)and a reexamination of coronary angiography (CAG)on the development of in-stent restenosis (ISR)in patients implanted with coronary drug eluting stent (DES).Methods For this study we enrolled 123 patients who had undergone successful drug eluting stent implantation (SI)and a further CAG reexamination.Another 45 patients with non-coronary heart disease (NC)served as controls.PLR and NLR were measured before DES implantation or CAG and compared between the groups.Patients in SI group were further divided into two subgroups based on the results of CAG reexamination:ISR group and no-ISR group.Hematologic data were reexamined before further CAG and compared between the subgroups.Receiver operator characteristic curve (ROC)was drawn to evaluate the predictive values of PLR and NLR for ISR.Results PLR and NLR before PCI or a further CAG were significantly higher in ISR group (34 patients)than in non-ISR group (89 patients,P＜0.05).Before PCI,the best cutoff value of PLR in screening restenosis was 107.20;the sensitivity and the specificity were 64.7% and 65.2%.The best cutoff value of NLR in screening restenosis was 2.72; the sensitivity and the specificity were 61.8% and 70.8%. Before CAG reexamination,the best cutoff value of PLR in screening restenosis was 160.08;the sensitivity and the specificity were 26.5% and 97.8%.The best cutoff value of NLR in screening restenosis was 2.08;the sensitivity and the specificity were 73.5% and 56.2%.Conclusion Both PLR and NLR before PCI or CAG reexamination can be predictors of ISR in patients implanted with DES.
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Objective To establish a model for obtaining the reference values of left ventricular ejection fraction(LVEF) in Chinese healthy adult males by exploring the relationships of these reference values with heart rate and geographical environment factors. Methods LVEF and heart rate reference values (X) were collected from 3502 healthy adult males from 2006 to 2016. Correlation analysis and ridge regression were employed to extract dependent geographical environment factors and predict the LVEF reference values. The Kriging interpolation was applied to reveal the spatial distribution of the LVEF reference values. Results LVEF and heart rate (X) were significantly correlated with five geographical environment factors. LVEF was negatively correlated with heart rate (X),latitude (X),and annual range of temperature (X) and positively correlated with annual mean air temperature (X),annual mean relative humidity (X),and annual precipitation amount (X). The reference values of LVEF had a negative correlation with heart rate. The ridge regression equation of LVEF reference values and geographical environment factors was as follows:Y=68.464-0.0949X-0.0619X-0.00128X+0.00069X-0.0199X±3.329. The equation of LVEF reference values with heart rate and geographical environment factors was Y=75.923-0.1035X-0.0958X-0.0741X+0.00094X+0.00081X-0.0211X±3.288. Conclusion The LVEF reference values among Chinese healthy adult males decreased from south to north. They can be determined based on the regression models after the geographical factors of a certain region are obtained. The new model offers a geographic basis for the establishment of LVEF reference values.
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Objective:To discuss the relationship between the geographic environment and blood urea nitrogen(BUN) reference values of the healthy people,and to explore the distributional rule of BUN reference values of the healthy people,and to provide the scientific foundation for establishing the BUN reference value standards of different areas.Methods:A total of 23 geographic factors and 33 521 BUN reference values of healthy adults measured by 403 medical facilities from 23 provinces,4 municipalities and 5 autonomous regions were collected.The spatial autocorrelation analysis was used to determine the spatial autocorrelation of the sample data;the correlation analysis was used to detect the factors which correlated significantly with the BUN reference values;the multiple linear regression,principle component analysis and ridge regression analysis were respectively used to construct the predicted models;the paired-sample t test was used to choose the optimal model;the distribution map of BUN reference values was built by geostatistic analysis.Results:There were 5 geographic factors,latitude(X2),altitude(X3),annual mean temperature(X5),annual mean relative humidity(X6) and annual precipitation(X7),correlated significantly with the BUN reference values.The regression equation of optimal model was Y
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[Objective] To refer a geographical distribution rule of alpha-L-fucosidase (AFU) reference values for the health adults in China via exploring its spatial distribution trend and its correlation with geographical factors.[Methods] A total of 6564 samples of AFU reference values from 66 administrative units in the years 2004-2015 were collected,male and female of which were 3701 cases (56.4％) and 2863 cases (46.3％).A research concerning AFU reference values in whole country were calculated using methods of information content and ridge regression.[Results] AFU reference values for Chinese healthy adults were influenced by geographical factors and presented autocorrelation,and it showed eastern and northern areas were highery than western and southern areas.[Conclusions] AFU reference values have a spatial variation and the regional disparities should be considered in practice.
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<p><b>OBJECTIVE</b>To explore the relationship between serum creatinine (Scr) reference values in healthy adults and geographic factors and provide evidence for establishing Scr reference values in different regions.</p><p><b>METHODS</b>We collected 29 697 Scr reference values from healthy adults measured by 347 medical facilities from 23 provinces, 4 municipalities and 5 autonomous regions. We chose 23 geographical factors and analyzed their correlation with Scr reference values to identify the factors correlated significantly with Scr reference values. According to the Principal component analysis and Ridge regression analysis, two predictive models were constructed and the optimal model was chosen after comparison of the two model's fitting degree of predicted results and measured results. The distribution map of Scr reference values was drawn using the Kriging interpolation method.</p><p><b>RESULTS</b>Seven geographic factors, including latitude, annual sunshine duration, annual average temperature, annual average relative humidity, annual precipitation, annual temperature range and topsoil (silt) cation exchange capacity were found to correlate significantly with Scr reference values. The overall distribution of Scr reference values featured a pattern that the values were high in the south and low in the north, varying consistently with the latitude change.</p><p><b>CONCLUSION</b>The data of the geographic factors in a given region allows the prediction of the Scr values in healthy adults. Analysis of these geographical factors can facilitate the determination of the reference values specific to a region to improve the accuracy for clinical diagnoses.</p>
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<p><b>OBJECTIVE</b>To analyze the relationship between the reference values of fibrinogen (FIB) in healthy Chinese adults and geographical factors to provide scientific evidences for establishing the uniform standard.</p><p><b>METHODS</b>The reference values of FIB of 10701 Chinese healthy adults from 103 cities were collected to investigate their relationship with 18 geographical factors including spatial index, terrain index, climate index, and soil index. Geographical factors that significantly correlated with the reference values were selected for constructing the BP neural network model. The spatial distribution map of the reference value of FIB of healthy Chinese adults was fitted by disjunctive kriging interpolation. We used the 5-layer neural network and selected 2000 times of training covering 11 hidden layers to build the simulation rule for simulating the relationship between FIB and geographical environmental factors using the MATLAB software.</p><p><b>RESULTS</b>s The reference value of FIB in healthy Chinese adults was significantly correlated with the latitude, sunshine duration, annual average temperature, annual average relative humidity, annual precipitation, annual range of air temperature, average annual soil gravel content, and soil cation exchange capacity (silt). The artificial neural networks were created to analyze the simulation of the selected indicators of geographical factors. The spatial distribution map of the reference values of FIB in healthy Chinese adults showed a distribution pattern that FIB levels were higher in the South and lower in the North, and higher in the East and lower in the West.</p><p><b>CONCLUSION</b>When the geographical factors of a certain area are known, the reference values of FIB in healthy Chinese adults can be obtained by establishing the neural network mode or plotting the spatial distribution map.</p>
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Adult , Humans , Asian People , China , Climate , Environment , Fibrinogen , Geography , Neural Networks, Computer , Reference Values , Software , TemperatureABSTRACT
Coxsackievirus B type 3 (CVB3) is one of the major causative pathogens associated with viral meningitis and myocarditis, which are widespread in the human population and especially prevalent in neonates and children. These infections can result in dilated cardiomyopathy (DCM) and other severe clinical complications. There are no vaccines or drugs approved for the prevention or therapy of CVB3-induced diseases. During screening for anti-CVB3 candidates in our previous studies, we found that jiadifenoic acids C exhibited strong antiviral activities against CVB3 as well as other strains of Coxsackie B viruses (CVBs). The present studies were carried out to evaluate the antiviral activities of jiadifenoic acids C. Results showed that jiadifenoic acids C could reduce CVB3 RNA and proteins synthesis in a dose-dependent manner. Jiadifenoic acids C also had a similar antiviral effect on the pleconaril-resistant variant of CVB3. We further examined the impact of jiadifenoic acids C on the synthesis of viral structural and non-structural proteins, finding that jiadifenoic acids C could reduce VP1 and 3D protein production. A time-course study with Vero cells showed that jiadifenoic acids C displayed significant antiviral activities at 0-6 h after CVB3 inoculation, indicating that jiadifenoic acids C functioned at an early step of CVB3 replication. However, jiadifenoic acids C had no prophylactic effect against CVB3. Taken together, we show that jiadifenoic acids C exhibit strong antiviral activities against all strains of CVB, including the pleconaril-resistant variant. Our study could provide a significant lead for anti-CVB3 drug development.
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Objective: To provide a scientific standard of left ventricular Tei index for healthy people from various region of China, and to lay a reliable foundation for the evaluation of left ventricular diastolic and systolic function. Methods: The correlation and principal component analysis were used to explore the left ventricular Tei index, which based on the data of 3 562 samples from 50 regions of China by means of literature retrieval. hTe nine geographical factors were longitude(X1), latitude(X2), altitude(X3), annual sunshine hours (X4), the annual average temperature (X5), annual average relative humidity (X6), annual precipitation (X7), annual temperature range (X8) and annual average wind speed (X9). ArcGIS sotfware was applied to calculate the spatial distribution regularities of letf ventricular Tei index. Results: hTere is a signiifcant correlation between the healthy people’s letf ventricular Tei index and geographical factors, and the correlationcoeffcients were 0.107 (r1), 0.301 (r2), 0.029 (r3), 0.277 (r4),?0.256(r5),?0.289(r6),?0.320(r7), 0.310 (r8) and 0.117 (r9), respectively. A linear equation between the Tei index and the geographical factor was obtained by regression analysis based on the three extracting principal components. hTe geographical distribution tendency chart for healthy people’s letf Tei index was iftted out by the ArcGIS spatial interpolation analysis. Conclusion: hTe geographical distribution for letf ventricular Tei index in China follows certain pattern. hTe reference value in North is higher than that in South, while the value in East is higher than that in West.
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Objective: To supply a scientific basis for standardizing the normal reference value of forced vital capacity (FVC) of Chinese younger women. Methods: We studied the relationship between the normal reference value of 21 767 samples of FVC of younger women and eight geographical factors in 157 areas in China. Results: It was found that the correlation between geographical factors and the normal reference value of FVC of younger women was quite significant (F = 5.884, P = 0.000). By adopting the method of mathematical regression analysis, one regression equation was inferred: Y = 3.146+0.00006919X1+0.01315X4-0.006966X6+0. 09524X8±0.254. In the above equation, Y is the normal reference value of younger women' FVC (L); X1 is the altitude (m); X4 is the annual mean air temperature (°C); X6 is the annual mean relative humidity (%); X8 is the annual mean wind speed (m/s); 0.254 is the value of the residual standard deviation. Conclusion: If geographical values are obtained in a certain area, the normal reference value of FVC of younger women in this area can be obtained by using the regression equation. Furthermore, according to the geographical factors, China can be divided into eight regions: Northeast China Region, North China Region, Shanxi-Shaanxi-Inner Mongolia Region, middle and lower reaches of the Yangzte River Region, Southeast China Region, Northwest China Region, Southwest China Region, and Qinghai-Tibet Plateau Region.
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Objective To supply a scientific basis for standardizing the normal reference value of forced vital capacity (FVC) of Chinese younger women. Methods We studied the relationship between the normal reference value of 21767 samples of FVC of younger women and eight geographical factors in 157 areas in China. Results It was found that the correlation between geographical factors and the normal reference value of FVC of younger women was quite significant (F=5.884, P=0.000). By adopting the method of mathematical regression analysis, one regression equation was inferred: =3.146+0.00006919X1+0.01315X4-0.006966X6+0.09524X8±0.254. In the above equation, is the normal reference value of younger women' FVC (L); X1 is the altitude (m); X4 is the annual mean air temperature (℃); X6 is the annual mean relative humidity (%); X8 is the annual mean wind speed (m/s); 0.254 is the value of the residual standard deviation. Conclusion If geographical values are obtained in a certain area, the normal reference value of FVC of younger women in this area can be obtained by using the regression equation. Furthermore, according to the geographical factors, China can be divided into eight regions: Northeast China Region, North China Region, Shanxi-Shaanxi-Inner Mongolia Region, middle and lower reaches of the Yangzte River Region, Southeast China Region, Northwest China Region, Southwest China Region, and Qinghai-Tibet Plateau Region.
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Objective To reveal the geographical distribution regularity of the normal reference value of old female’s hemoglobin in China,and provide scientific basis for making its unified standards.Methods The normal reference values of 15 690 examples of old female’s hematocrit by the method of hemoglobin cyanide(HiCN)and five geographical factors in 157 areas in China,its distribution regularity and the complex relationship characteristic between geography environment elements were analyzed with the methods of factor analysis,spatial analysis of GIS and correlation analysis.Results By the method of factor analysis,the five factors of geography environment were combined into two common factors F1and F2;the original data was replaced with its scores to infer the regression equation :y
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Objective To supply a scientific basis for laying out a unified standard of reference value of Chinese newborn boys' hemoglobin. Methods After the reference values of 5169 Chinese healthy newborn boys' hemoglobin tested in 78 areas were collected, a research was made on the relationship between the reference value of Chinese newborn boys' hemoglobin and altitude by using curvilinear regression analysis. Results As the altitude gradually increased, the reference value of Chinese newborn boys' hemoglobin gradually increased by index law, with significant correlation (R=0.601, F=43.05, P= 0.0000). One curvilinear regression model was given out: =176.9e 0.00008662x?25.3. Conclusion If altitude of a particular area is known, the reference value of Chinese newborn boys' hemoglobin in this area can be established by using regression model. According to the correlation between Chinese newborn boys' hemoglobin and altitude, China can be divided into three regions: Qinghai-Tibet Region, Central Region, Eastern Region.
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Objective To build a regression equation which can indicate the relationship between pH value of Chinese youth' arterial blood and geographical factors in China.Methods We collected pH value of young and geographical factors in China,and studied the relationship between them.Results We worked out a regression equation which could indicate the relationship between the pH value of Chinese youth' arterial blood and the geographical indicators.Conclusion If knowing the geographical indicators of each area in China,we can estimate the pH reference value of young people's arterial blood by using the equation.