Simultaneous multiplexed analysis can provide comprehensive information for disease diagnosis. However, the current multiplex methods rely on sophisticated barcode technology, which hinders its wider application. In this study, an ultrasimple size encoding method is proposed for multiplex detection using a wedge-shaped microfluidic chip. Driving by negative pressure, microparticles are naturally arranged in distinct stripes based on their sizes within the chip. This size encoding method demonstrates a high level of precision, allowing for accuracy in distinguishing 3-5 sizes of microparticles with a remarkable accuracy rate of up to 99%, even the microparticles with a size difference as small as 0.5 µm. The entire size encoding process is completed in less than 5 min, making it ultrasimple, reliable, and easy to operate. To evaluate the function of this size encoding microfluidic chip, three commonly co-infectious viruses' nucleic acid sequences (including complementary DNA sequences of HIV and HCV, and DNA sequence of HBV) are employed for multiplex detection. Results indicate that all three DNA sequences can be sensitively detected without any cross-interference. This size-encoding microfluidic chip-based multiplex detection method is simple, rapid, and high-resolution, its successful application in serum samples renders it highly promising for potential clinical promotion.
Biosensing Techniques , Microfluidic Analytical Techniques , Microfluidics , Base Sequence , Microfluidic Analytical Techniques/methods , Oligonucleotide Array Sequence Analysis/methods
Fluorescence in situ hybridization (FISH) is a powerful cytogenetic method used to precisely detect and localize nucleic acid sequences. This technique is proving to be an invaluable tool in medical diagnostics and has made significant contributions to biology and the life sciences. However, the number of cells is large and the nucleic acid sequences are disorganized in the FISH images taken using the microscope. Processing and analyzing images is a time-consuming and laborious task for researchers, as it can easily tire the human eyes and lead to errors in judgment. In recent years, deep learning has made significant progress in the field of medical imaging, especially the successful application of introducing the attention mechanism. The attention mechanism, as a key component of deep learning, improves the understanding and interpretation of medical images by giving different weights to different regions of the image, enabling the model to focus more on important features. To address the challenges in FISH image analysis, we combined medical imaging with deep learning to develop the SEAM-Unet++ automated cell contour segmentation algorithm with integrated attention mechanism. The significant advantage of this algorithm is that it improves the accuracy of cell contours in FISH images. Experiments have demonstrated that by introducing the attention mechanism, our method is able to segment cells that are adherent to each other more efficiently.
Algorithms , Nucleic Acids , Humans , In Situ Hybridization, Fluorescence , Eye , Image Processing, Computer-Assisted
Chiral α-amino ketones are common structural motifs in natural products and pharmaceuticals, as well as important synthons in organic synthesis. Thus, establishing efficient methods for preparing compounds with these privileged scaffolds is an important endeavor in synthetic chemistry. Herein we disclose a new catalytic asymmetric approach for the synthesis of chiral α-amino ketones through a chiral palladium-catalyzed arylation reaction of in situ generated challenging α-keto imines from previously unreported C-acyl N-sulfonyl-N,O-aminals, with arylboronic acids. The current reaction offers a straightforward approach to the asymmetric synthesis of acyclic α-amino ketones in a practical and highly stereocontrolled manner. Meanwhile, the multiple roles of the chiral Pd(ii) complex catalyst in the reaction were also reported.
OBJECTIVE@#To investigate the introduction of vegetables and fruits in 4-8 months old infants, and to describe the maternal and infants' characteristics associated with the introduction of vegetables and fruits.@*METHODS@#Mother-infant dyads (n=228) were recruited from 12 to 16 weeks postpartum and formally entered the study at 4 months of age. Data collected via face to face interview at 4-8 months postpartum, including the timing and types of added vegetables and fruits, as well as a variety of maternal and infant characteristics (n=204). Rank sum test and multiple linear regression were used to analyze the maternal and infant characteristics related to the introduction of vegetables and fruits.@*RESULTS@#The time of introducing vegetables was concentrated at the age of 7 months, and the time of adding fruits was mainly at 6 months. Fruits were added earlier than vegetables (P < 0.001), and the variety of the added fruits was higher than that of vegetables (P=0.045). 48% (n=98) of infants had no more than three types of fruits and vegetables at 8 months. Only 9.8% (n=20) had added more than 10 kinds of fruits and vegetables at 8 months. Green leafy vegetables were the most commonly added vegetable, and apple was the most popular fruit. Compared with women who were 35 years of age or younger, women beyond 35 years old introduced vegetables to their babies 0.6 months later. 4-month-old exclusively breastfed infants had vegetables 0.4 months later than mixed-fed infants. Women with a bachelor's degree or above added 2-3 more types of fruits and vegetables to their babies than those with junior high school education and below.@*CONCLUSION@#The adding time of fruits was earlier than that of vegetable. Apples and green leafy vegetables are commonly added. Women with lower educational backgrounds add fewer types of fruits and vegetables to their babies. Mothers who choose exclusive breastfeeding and those over 35 years of age at childbirth add vegetables to their babies later than others. They should be targeted for health promotion programs that aim to improve the intake of fruits and vegetables among infants.
Adult , Female , Humans , Infant , Infant, Newborn , Beijing , Breast Feeding , Follow-Up Studies , Fruit , Vegetables
The existing multiplex biomarker detection methods are limited by the high demand for coding material and expensive detection equipment. This paper proposes a convenient and precise coding method based on a wedge-shaped microfluidic chip, which can be further applied in multiplex biomarker detection. The proposed microfluidic chip has a microchannel with continuously varying height, which can naturally separate and code microparticles of different sizes. Our data indicate that this method can be applied to code more than 5 or 7 kinds of microparticles, even when their size discrepancies are smaller than 1 µm. Based on these, multiplex biomarker detection can be implemented by using microparticles of different sizes, hence each kind of microparticle that coats one kind of antibody represents the species of targets. This method is simple and easy to operate, with no clogging or sophisticated coding design, showing its significant potential in the area of point-of-care tests (POCT).
Microfluidic Analytical Techniques , Microfluidics , Biomarkers , Equipment Design , Lab-On-A-Chip Devices , Oligonucleotide Array Sequence Analysis
Automated detection of the influenza virus is important for the prevention of infectious viruses. Herein, assisted by three-dimensional (3-D) magnetophoretic separation and magnetic label, an automated detection device was constructed for H7N9 influenza virus hemagglutinin. Multi-layer glass slides were used to generate a 3-D microchannel network with two-level channels, realizing 3-D magnetophoretic separation with a magnetic field in the vertical direction to microchannels for the sample treatment. After the immunomagnetic separation, a magnetic-tagged complex was captured in an antibody-modified glass capillary, where magnetic beads further as a label could cause the voltage change of the miniature tube liquid sensor to obtain the detection signal. Moreover, the whole detection process and detection results were controlled and read through a liquid crystal display (LCD) screen to improve the automation. Finally, the detection limit was calculated to be 8.4 ng mL-1 for H7N9 hemagglutinin and had good specificity and reproducibility. These results indicate that this detection device proposes promising automated avenues for the early detection of infectious diseases.
Influenza A Virus, H7N9 Subtype , Influenza, Human , Humans , Immunomagnetic Separation , Influenza, Human/diagnosis , Magnetic Phenomena , Reproducibility of Results
OBJECTIVE@#To explore the relationship between nutrients intake during pregnancy and the glycemic control effect in pregnant women with gestational diabetes mellitus (GDM).@*METHODS@#Pregnant women for 25-35 gestational weeks who underwent prenatal examination and completed GDM diagnostic test in two third-class hospitals in Beijing from October 2015 to October 2017 were recruited to participate in the cohort study, and were investigated at enrollment, 2 weeks after enrollment, and delivery. The cross-sectional survey data 2 weeks after enrollment was used for this study. Among them, dietary survey used the 24 h dietary records to collect the food intake of the subjects for the past day, and the intake of energy, macronutrients and micronutrients, was calculated according to the Chinese Food Composition Table. Using the data of fasting blood glucose (FBG) collected by clinical information system and referring to the Chinese Guidelines for the Diagnosis and Treatment of Pregnancy Diabetes (2014), the GDM patients with FBG ≤5.3 mmol/L were divided into the well-control group, those with FBG >5.3 mmol/L were divided into poorly-control group, and pregnant women with normal glucose tolerance were consi-dered as the normal group. Binary Logistic regression was used to analyze the association between the nutrients intake and glycemic control effect in pregnant women with GDM.@*RESULTS@#A total of 227 pregnant women were enrolled, including 104 GDM patients and 123 normal pregnancy women. Among them, 76 subjects in the well-control group (73.1%, 76/104) and 28 subjects in the poorly-control group (26.9%, 28/104). Compared with the well-control group and the normal group, the protein intake and its energy ratio of the poorly-control group were significantly higher, while carbohydrate energy ratio was significantly lower. In terms of micronutrients, there was no significant difference between the well-control group and the poorly-control group. After adjusting for age, gestational age and physical activity level, with the well-control group as the control group, binary Logistic regression model showed that higher protein energy ratio was positively correlated with poorly glycemic control effect in pregnant women with GDM (OR=6.12, 95%CI: 1.44-25.98), while higher carbohydrate energy ratio was negatively correlated with poorly glycemic control (OR=0.54, 95%CI: 0.32-0.91).@*CONCLUSION@#Reduced protein intake and increased carbohydrate intake were associated with better glycemic control in pregnant women with GDM. It is suggested that GDM patients should adjust their dietary pattern further to achieve good glycemic control effect.
Female , Humans , Pregnancy , Blood Glucose , Cohort Studies , Cross-Sectional Studies , Diabetes, Gestational , Eating , Glycemic Control , Nutrients , Pregnant Women
BACKGROUND: The most convenient circulating tumor cells (CTCs) identification method is direct analysis of cells under bright field microscopy by which CTCs can be comprehensive studied based on morphology, phenotype or even cellular function. However, universal cell markers and a standard tumour cell map do not exist, thus limiting the clinical application of CTCs. RESULTS: This paper focuses on an automatic and convenient negative depletion strategy for circulating tumour cell identification under bright field microscopy. In this strategy, immune microparticles (IMPs) are applied to negatively label white blood cells rather than the tumour cells, such that tumour cells can be directly distinguished under brightfield of the microscopy. In this way, all of the heterogeneous tumour cells and their phenotype properties can be retained for further cancer-related studies. In addition, a wedge-shaped microfluidic chip is constructed for heterogeneous CTC pre-purification and enrichment by size, thus significantly decreasing the interference of haematological cells. Additionally, all cell treatments are processed automatically, and the tumour cells can be rapidly counted and distinguished via customized cell analytical software, showing high detection efficiency and automation. This IMPs based negative cell labelling strategy can also be combined with other classic cell identification methods, thus demonstrating its excellent compatibility. CONCLUSION: This identification strategy features simple and harmless for tumour cells, as well as excellent accuracy and efficiency. And the low equipment demand and high automation level make it promise for extensive application in basic medical institutions.
Cell Separation/instrumentation , Lab-On-A-Chip Devices , Neoplastic Cells, Circulating/chemistry , Cell Line, Tumor , Equipment Design , Humans , Neoplastic Cells, Circulating/classification , Neoplastic Cells, Circulating/metabolism
Influenza viruses with multiple subtypes have highly virulent in humans, of which influenza hemagglutinin (HA) is the major viral surface antigen. Simultaneous and automated detection of multiple influenza HA are of great importance for early-stage diagnosis and operator protection. Herein, a magnetism and size mediated microfluidic platform was developed for point-of-care detection of multiple influenza HA. With multiplex microvalves and computer program control, the detection process showed high automation which had a great potential for avoiding the high-risk virus exposure to the operator. Taking advantage of magnetism and size mediated multiple physical fields, multiple influenza HA could be simultaneous separation and detection depended on different-size magnetic beads. Using high-luminance quantum dots as reporter, this assay achieved high sensitivity with a detection limit of 3.4 ng/mL for H7N9 HA and 4.5 ng/mL for H9N2 HA, and showed excellent specificity, anti-interference ability and good reproducibility. These results indicate that this method may propose new avenues for early detection of multiple influenza subtypes.
BACKGROUND@#Improving and maintaining the health of mothers and newborns is indisputably a global priority, especially during a pandemic. This study intends to examine the factors associated with cesarean section (CS) during lockdown time.@*METHODS@#A total of 678 women who just gave birth within 7 days were enrolled from maternal and children hospitals in nine cities of China from April to May 2020. The delivery modes and potential influencing factors were investigated. The subgroup analysis and sensitivity analysis were used to examine the association of CS and risk factors among populations with different characteristics and to control for possible confounding, respectively.@*RESULTS@#The overall rate of cesarean delivery was 37.3%. In multi-variant model, maternal age > 30 years (OR, 95% CI = 1.71, 1.21-2.41), higher pre-gestational BMI (OR, 95% CI = 1.16, 1.10-1.23), living in regions with confirmed COVID-19 cases > 500 (OR, 95% CI = 2.45, 1.74-3.45), and excess gestational weight gain (OR, 95% CI = 1.73, 1.17-2.55) were associated with cesarean delivery. These trends of associations were not changes in sensitivity analysis and subgroup analysis. Cesarean delivery occurred more in women who got more nutrition instruction during the pandemic period in the univariant model; however, this association showed insignificance in the multiple-variant analysis.@*CONCLUSION@#A high cesarean delivery rate was found in uninfected women who experienced lockdown in their third trimester. During the COVID-19 pandemic, more medical support should be provided in severely affected regions to ensure and promote health in pregnancy.
As we all know, microvalve holds great importance for microfluidic manipulation in chip. Herein, a simple method of high-performance multiplex microvalves chip fabrication was reported. In this method, a sandwich structure is established by inserting a polydimethylsiloxane (PDMS) membrane into two glasses, which is cheap and simple without any complex silicon-based device or soft lithography. Taking advantages of both the elasticity of the PDMS and the rigidity of glass, the microvalve chip showed good controls performance and had the ability of multiplex integration. Moreover, aided by a computer design program, this microvalves chip can be performed automatically, showing great potential to develop new highly integrated microfluidic devices. In addition, the fabricated multiplex microvalve chip is further successfully used for staining tumor cells automatically, improving the efficiency of cell identification process and reducing human errors. These results indicate this method opens up new avenues for multiplex microvalves fabrication and its biological application.
Lab-On-A-Chip Devices , Staining and Labeling/instrumentation , Breast Neoplasms/pathology , Dimethylpolysiloxanes , Humans , Neoplastic Cells, Circulating/pathology
Objective To evaluate the efficiency of Logistic regression algorithm and random forest algorithm in prediction of blood glucose control in patients with type 2 diabetes mellitus (T2DM) after 3 months, and explore the influencing factors of blood glucose control. Methods The data was extracted from baseline survey and follow-up information of patients with T2DM in Shunyi and Tongzhou Districts. The patient’s 3-month glycosylated hemoglobin which was more than 6.5% was chosen as the outcome categorical variable. The random forest algorithm and Logistic algorithm were used to establish the prediction model. The predictive efficiency was evaluated with the area under receive operating characteristic curve (AUC) and accuracy rate. Results Factors affecting the patient’s glycemic control included baseline fasting plasma glucose(P<0.001), duration of disease(P<0.001), smoking(P=0.026), static activity time(P=0.006), body mass index(overweight P=0.002, obesity P=0.011), bracelet use(P=0.028), and diabetes diet(P=0.002).The Logistic regression prediction model had an AUC of 0.738, a sensitivity of 72.9%, a specificity of 68.1%, and an accuracy of 71.2%. The random forest model had an AUC of 0.756, a sensitivity of 74.5%, a specificity of 69.5%, and an accuracy of 72.8%. Conclusions The efficiency of random forest is better than Logistic regression model, which can be applied to the prediction of blood glucose control and assist the management of diabetic patients.
This paper presents some ideas and practices to realize the homogeneity quality management process within the Beijing Children Hospital Group,the largest specialized medical group in the country.This research aims at providing references and thoughts on homogeneity quality management for trans-regional medical unions in the country.
<p><b>BACKGROUND</b>During the last 3 decades, China has dramatic changes of the dietary pattern among its citizens, particularly in urban cities. This study aimed to determine the nutrient intake status and factors associated with nutrient intakes of urban Chinese pregnant women now-a-day.</p><p><b>METHODS</b>The multistage stratified random sampling method was applied in the cross-sectional study. 479 women in three trimesters of pregnancy from eight cities of China were recruited. Nutrient intakes were evaluated with one 24 h dietary recall, and compared with the Chinese Dietary Reference Intakes (DRIs) 2013 for available nutrients.</p><p><b>RESULTS</b>Most pregnant women had imbalanced macronutrient distribution with excessive energy derived from fat. Intakes of Vitamin A, B 6, calcium, magnesium, and selenium were below Chinese Recommended Nutrient Intake (RNI) and Estimated Average Requirements (EARs) in all trimesters. Most pregnant women took more folic acid in the first trimester with a significant decrease in the second and third trimester (P < 0.05). Shortfall in iron intake was found in the third trimester whereas some women may be at the risk of excessive iron intake. Intakes of thiamin met RNI in the first trimester but were below EAR in all trimesters. Trimester phasing was positively associated with most nutrients (P < 0.05). Prepregnancy body mass index was inversely associated with energy, fat, Vitamin C, and calcium intake (P < 0.05). Educational level and household income were positively associated with folic acid intake (P < 0.05).</p><p><b>CONCLUSIONS</b>Current prenatal dietary choices of urban pregnant women in China are imbalanced in the nutrient intake when compared with national DRIs 2013, particularly in intakes of energy derived from fat and micronutrients. Appropriate dietary advice to pregnant women should promote a balanced diet with emphasis on avoidance of foods of high fat content and incorporation of foods that are good sources of the key micronutrients that are usually lacking in a regular pregnancy diet. Further research is needed to understand the eating habits and food patterns that contribute to this imbalanced diet in order to be able to effectively improve prenatal women's nutrient intake status.</p>
Adult , Female , Humans , Pregnancy , Young Adult , China , Cities , Cross-Sectional Studies , Energy Intake , Physiology , Feeding Behavior , Nutritional Requirements , Nutritional Status , Physiology
<p><b>OBJECTIVE</b>To investigate the effects of three different ways of chronic caffeine administration on blast- induced memory dysfunction and to explore the underlying mechanisms.</p><p><b>METHODS</b>Adult male C57BL/6 mice were used and randomly divided into five groups: control: without blast exposure, con-water: administrated with water continuously before and after blast-induced traumatic brain injury (bTBI), con-caffeine: administrated with caffeine continuously for 1 month before and after bTBI, pre-caffeine: chronically administrated with caffeine for 1 month before bTBI and withdrawal after bTBI, post-caffeine: chronically administrated with caffeine after bTBI. After being subjected to moderate intensity of blast injury, mice were recorded for learning and memory performance using Morris water maze (MWM) paradigms at 1, 4, and 8 weeks post-blast injury. Neurological deficit scoring, glutamate concentration, proinflammatory cytokines production, and neuropathological changes at 24 h, 1, 4, and 8 weeks post-bTBI were examined to evaluate the brain injury in early and prolonged stages. Adenosine A1 receptor expression was detected using qPCR.</p><p><b>RESULTS</b>All of the three ways of chronic caffeine exposure ameliorated blast-induced memory deficit, which is correlated with the neuroprotective effects against excitotoxicity, inflammation, astrogliosis and neuronal loss at different stages of injury. Continuous caffeine treatment played positive roles in both early and prolonged stages of bTBI; pre-bTBI and post-bTBI treatment of caffeine tended to exert neuroprotective effects at early and prolonged stages of bTBI respectively. Up-regulation of adenosine A1 receptor expression might contribute to the favorable effects of chronic caffeine consumption.</p><p><b>CONCLUSION</b>Since caffeinated beverages are widely consumed in both civilian and military personnel and are convenient to get, the results may provide a promising prophylactic strategy for blast-induced neurotrauma and the consequent cognitive impairment.</p>
Animals , Male , Mice , Blast Injuries , Brain Injuries, Traumatic , Caffeine , Pharmacology , Cerebral Cortex , Pathology , Hippocampus , Pathology , Memory Disorders , Mice, Inbred C57BL , RNA, Messenger , Receptor, Adenosine A1 , Genetics
Epidemiology is a discipline characterized by complicated theory and practice.How to make the practice course function better is a topic worthy of exploring in educational reform for clinical students.The article explored the‘Student-Dominated’ Model based on ‘Problem-Based Learning ’ and ‘Team Based Learning ’ in teaching process and compared the model with the traditional one ( Teacher-Dominated Model) .Suggestions were given to further improve effectiveness of epidemiology practice courses.
<p><b>BACKGROUND</b>Optimal mineral intakes are important for infant growth and development. However, data on mineral compositions of breast milk in Chinese women are scarce, and most were acquired before 1990. The objectives of this study were three-fold: (1) to investigate the mineral compositions of Chinese healthy mothers' breast milk in different lactation stages; (2) to explore correlations among mineral concentrations in breast milk; and (3) to explore the associated factors affecting mineral compositions in breast milk.</p><p><b>METHODS</b>The inductively coupled plasma mass spectrometry (ICP-MS) was used to analyze mineral concentrations in breast-milk of 444 healthy lactating women from three cities in China. A questionnaire was used to survey socio-demographic characteristics and pregnancy history. Food intakes by lactating women were measured using both food frequency questionnaire and one cycle of 24-hour dietary recall.</p><p><b>RESULTS</b>Mineral compositions of breast milk varied in different regions. Concentrations of most minerals were higher in the first one or two months of lactation, and then decreased with time, except for magnesium and iron. Inter-mineral correlations existed among several minerals. The calcium-to-phosphorus ratio was above 2:1 in each lactation stage. Women with caesarean section had higher concentration of iodine in the transitional milk (349.9 µg/kg) compared to women with natural delivery (237.5 µg/kg, P < 0.001). Dietary mineral intakes, supplements, food intake frequencies in the recent 6 months, maternal age and maternal BMI did not show significant correlations with concentrations of milk minerals (all P > 0.05).</p><p><b>CONCLUSIONS</b>Milk minerals decreased with time, and changed most rapidly in the first one or two months of lactation. Caesarean section might affect the iodine level in transitional milk.</p>
Adult , Female , Humans , Pregnancy , Calcium , Metabolism , Dietary Supplements , Iodine , Metabolism , Lactation , Metabolism , Mass Spectrometry , Milk, Human , Chemistry , Metabolism , Minerals , Phosphorus , Metabolism
Objective To explore the effects of different infants-feeding patterns on preschoolers' physical development, intelligence development and bone mineral density (BMD). Methods A total of 953 preschoolers from seven cities and two rural areas in China were recruited by multiple stage stratified cluster sampling methods from November 2011 to April 2012. Physiology measurement was performed to get their height and weight and to calculate body mass index(BMI). BMD of distal radius was measured by ultrasound BMD scanner. The intelligence quotient was assessed by Standford-Binet Test of Intelligence(Chinese Version). The demographic factors and the feeding ways were investigated by an interviewer-administered questionnaire and all subjects were divided into three groups : exclusive breastfeeding, mixed feeding and artificial feeding group. ANOVA analysis, Chi-square test and non-parametric test were used to analyze the data. Results There were 476, 335 and 142 children in exclusive breastfeeding, mixed feeding and artificial feeding groups, respectively. The exclusive breastfeeding rate in urban areas was significantly lower than that in rural areas [47.2%(343/726) vs 58.6%(133/227), χ2=9.780, P=0.008]. The height-for-age Z score and weight-for-age Z score were significantly different among children with different feeding ways (χ2=10.728 and 12.175, P=0.005 and 0.002). The children in the exclusive breast feeding group showed lower height-for-age Z score and lower weight-for-age Z score comparing with those in the mixed feeding and artificial feeding groups (all P0.05). Conclusions Feeding patterns during the first several months after birth may affect the weight, height and BMD in preschool-children, but not the intelligence development of these children.
This study was purposed to investigate the diagnosis, typing and influencing factors of the antibody (inhibitor) to coagulation factors in hemophilia. 500 hemophilia patients were enrolled in this study. The activities of coagulation factor FVIII and FIX were tested by one stage assay. The antibodies of FVIII and FIX were detected by Bethesda assay. All data were analyzed by statistical soft SPSS 10.0. The results indicated that there were 411 cases of hemophilia A, out of which 151 cases (30.2%) showed FVIII antibody positive, the titer was 3.50 ± 2.84 Bu/ml; there were 79 cases of hemophilia B, out of which 18 cases (3.6%) showed FIX antibody positive, the titer was 2.92 ± 2.19 Bu/ml. The other 10 cases were acquired autogeneic hemophilia (2.0%). The antibody was divided into three types: high-response (3 cases), intermediate-response (47 cases), and low-response (119 cases). Among the 169 cases with antibody positive, 157 cases (92.9%) were younger than 30 years old; among 151 (89.35%) cases of hemophilia A; 138 cases (81.66%) were moderate or severe hemophilia; 166 case (98.22%) showed intermediate or low-response antibody. There were 158 cases with allogeneic antibody positive, all of which received blood transfusion. It is concluded that the moderate and low responsive antibodies are the dominant in hemophilia patients, the age of patients and transfusion frequency of blood preparation are the influencing factors. The results of this study provide the basis for the hemophilia diagnosis, antibody typing and evaluation of factors influencing hemophilia, and also suggest that the repeated transfusion of blood preparation may influence the production of antibodies.
Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , Young Adult , Autoantibodies , Blood , Factor VIII , Allergy and Immunology , Hemophilia A , Blood , Diagnosis , Allergy and Immunology
Objective To explore the correlation between hyperuricaemia and blood pressure, and blood lipid and glucose. Methods By using simple cluster sampling, 2 branch units from PetroChina Changqing Oilfield Company were selected, and all the 720 subjects with hyperuricaemia (HUA) were assigned to the HUA group; another 620 participants with normal uric acid (UA) level into the normal group. The correlation between blood uric acid and blood pressure,and blood lipid and glucose was assessed by Logistic regression. Results The odds ratio (OR) of those who had 1,2 or 3 abnormal status of hypertension,hyperlipidemia and impaired fasting glucose in the HUA group were much higher than the normal group (OR values were 4. 036,2. 562, and 4. 174, respectively). Logistic regression showed that male, systolic blood pressure ( SBP), GLU, total cholesterol ( TC), triglyceride ( TG), low-density lipoprotein cholesterol (LDL-C) were risk factors of H UA ( OR values were 7. 736,2. 309,1.721,2. 761 and 1. 411,respectively) ,while high-density lipoprotein cholesterol (HDL-C, OR = 0. 211 ) was a protective factor of HUA. Conclusions Gender,blood pressure and blood lipid may have correlation with blood UA. Multiple risk factors should be considered to improve the effectiveness of health education and health promotion.
