Blood biochemical indicators are an important basis for the diagnosis and treatment by doctors. The performance of related instruments, the qualification of operators, the storage method and time of blood samples and other factors will affect the accuracy of test results. However, it is difficult to meet the clinical needs of rapid detection and early screening of diseases with currently available methods. Point-of-care testing (POCT) is a new diagnostic technology with the characteristics of instant, portability, accuracy and efficiency. Microfluidic chips can provide an ideal experimental reaction platform for POCT. This paper summarizes the existing detection methods for common biochemical indicators such as blood glucose, lactic acid, uric acid, dopamine and cholesterol, and focuses on the application status of POCT based on microfluidic technology in blood biochemistry. It also summarizes the advantages and challenges of existing methods and prospects for development. The purpose of this paper is to provide relevant basis for breaking through the technical barriers of microfluidic and POCT product development in China.
Humans ; Point-of-Care Testing ; Lactic Acid/blood* ; Microfluidic Analytical Techniques/methods* ; Blood Glucose/analysis* ; Point-of-Care Systems ; Blood Chemical Analysis/instrumentation* ; Uric Acid/blood* ; Cholesterol/blood* ; Dopamine/blood* ; Microfluidics/methods*

OBJECTIVE: To evaluate the relationship between 24 h urinary ion content and kidney stones, and to explore the diagnostic values of kidney stone in primary gout patients. METHODS: Patients diagnosed with primary gout had ultrasound scanning of both feet and kidneys in Peking University First Hospital from Jan. 2020 to May 2021. Their clinical characteristics were compared between the positive and negative kidney stone groups, and the relationship between kidney stone and urinary ion composition were analyzed. Risk factors of kidney stone were analyzed. The explored diagnostic values were evaluated for urinary oxalate and citrate according with uric acid kidney stones by dual-energy computed tomography (DECT). RESULTS: Among the 100 gouty patients, 80 patients had uric acid crystal deposition in lower joints of extremity by ultrasonography, 61 patients had kidney stone, and 34 had kidney uric acid stones by DECT. All the multiple kidney stones were proved as uric acid kidney stones by DECT. Compared with patients without kidney stone group proved by ultrasonography, patients with kidney stone had longer gouty duration [(48.7±26.6) months vs. (84.0±30.6) months, P=0.01], higher 24 h urinary oxalate [(20.1±9.6) mg vs. (28.6±20.7) mg, P=0.001] and lower 24 h urinary citrate [(506.3±315.4) mg vs. (355.7±219.6) mg, P=0.001]. Compared with the patients without kidney stone by DECT, the patients with uric acid kidney stone also had longer disease duration [(49.1±28.4) months vs. (108.3±72.2) months, P=0.001], higher 24 h urinary oxalate [(23.6±16.9) mg vs. (28.5±18.8) mg, P < 0.05], lower 24 h urinary citrate [(556.0±316.3) mg vs. (391.7±261.2) mg, P < 0.05], higher serum uric acid [(466.2±134.5) μmol/L vs. (517.2±18.1) μmol/L, P < 0.05] and higher 24 h urinary uric acid [(1 518.1±893.4) mg vs. (1 684.2±812.1) mg, P < 0.05]. Logistic regression analysis showed long gout disease duration (OR=1.229, 95%CI: 1.062-1.522, P < 0.05), high serum uric acid level (OR=1.137, 95%CI: 1.001-1.213, P=0.01), low 24 h urinary citrate (OR=0.821, 95%CI: 0.659-0.952, P=0.01) were all risk factors of kidney stones by ultrasonography. Also, long gout disease duration (OR=1.201, 95%CI: 1.101-1.437, P=0.005), high serum creatine uric level (OR=1.145, 95%CI: 1.001-1.182, P=0.04), low 24 h urinary citrate (OR=0.837, 95%CI: 0.739-0.931, P=0.02) were all risk factors of kidney uric acid stones by DECT. CONCLUSION Long disease duration and low 24 h urinary citrate were risk factors for kidney stones.
Humans ; Urinary Calculi ; Uric Acid/analysis* ; Citric Acid ; Kidney Calculi/diagnostic imaging* ; Gout/diagnostic imaging* ; Citrates ; Oxalates

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 ; Asian Continental Ancestry Group ; Blood Glucose/analysis* ; China/epidemiology* ; Cohort Studies ; Diabetes Mellitus/blood* ; Female ; Glucose Tolerance Test ; Glycated Hemoglobin A/analysis* ; Glycemic Index ; Humans ; Male ; Middle Aged ; Uric Acid/blood*

PURPOSE: Investigating the prevalence of hyperuricemia and its association with metabolic syndrome (MetS) and cardiometabolic risk factors (CMRFs) in Korean children and adolescents. METHODS: This cross-sectional survey used data from the 7th Korea National Health and Nutrition Examination Survey (2016–2017); 1,256 males and females aged 10–18 years were included. Hyperuricemia was defined as serum uric acid levels were >6.6 mg/dL at 10–11 years of age (both sexes), >7.7 mg/dL for males at 12–18 years of age and >5.7 mg/dL for females at 12–18 years of age. MetS was defined by the International Diabetes Federation criteria. Logistic regression analysis was used to analyze hyperuricemia-associated risk factors. RESULTS: The prevalence of hyperuricemia was 9.4% (male, 8.4%; female, 10.5%) (P<0.281). After adjusting for sociodemographic factors and health behaviors in multivariate analysis (model 1), the odds ratio (OR) for hyperuricemia of MetS was 3.05 (95% confidence interval [CI], 1.17–7.92; P=0.022). After adjusting for the same variables in model 1 plus obesity and all MetS components (model 2), only abdominal obesity was significant, and the OR for hyperuricemia was 3.38 (95% CI, 1.72–6.63; P<0.001) After adjusting for the same variables in model 1 plus body mass index (BMI) z scores and all MetS components except abdominal obesity (model 3), only BMI z scores was significant, and the OR for hyperuricemia was 1.59 (95% CI, 1.34–1.89; P<0.001). CONCLUSION: MetS, abdominal obesity, and BMI z scores were CMRFs significantly associated with hyperuricemia in Korean children and adolescents. Therefore, attention should be paid to hyperuricemia in patients with obesity or MetS.
Adolescent ; Body Mass Index ; Child ; Cross-Sectional Studies ; Female ; Health Behavior ; Humans ; Hyperuricemia ; Korea ; Logistic Models ; Male ; Multivariate Analysis ; Nutrition Surveys ; Obesity ; Obesity, Abdominal ; Odds Ratio ; Prevalence ; Risk Factors ; Uric Acid

OBJECTIVE: To examine the association between serum uric acid levels and cardiovascular disease risk among individuals without diabetes. METHODS: We investigated the association between serum uric acid levels and the risk of prevalent cardiometabolic diseases, 10-year Framingham risk for coronary heart disease, and 10-year risk for atherosclerotic cardiovascular diseases (ASCVD) among 8,252 participants aged ⪖ 40 years without diabetes from Jiading district, Shanghai, China. RESULTS: Body mass index, waist circumference, blood glucose, glycated hemoglobin, blood pressure, and serum lipids increased progressively across the sex-specific quartiles of uric acid (all P trend < 0.05). Compared with individuals in the lowest quartile, those in the higher quartiles had a significantly higher prevalence of obesity, hypertension, and dyslipidemia (all P trend < 0.05). A fully adjusted logistic regression analysis revealed that individuals in the highest quartile had an increased risk of predicted cardiovascular disease compared with those in the lowest quartile of uric acid. The multivariate adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for the highest quartiles for high Framingham risk were 3.00 (2.00-4.50) in men and 2.95 (1.08-8.43) in women. The multivariate adjusted ORs (95% CIs) for the highest quartile for high ASCVD risk were 1.93 (1.17-3.17) in men and 4.53 (2.57-7.98) in women. CONCLUSION Serum uric acid level is associated with an increased risk of prevalent obesity, hypertension, dyslipidemia, 10-year Framingham risk for coronary heart disease, and 10-year risk for ASCVD among Chinese adults without diabetes.
Biomarkers ; blood ; Blood Glucose ; analysis ; Blood Pressure ; Body Mass Index ; China ; Coronary Disease ; blood ; epidemiology ; Cross-Sectional Studies ; Female ; Glycated Hemoglobin A ; analysis ; Humans ; Lipids ; blood ; Male ; Middle Aged ; Predictive Value of Tests ; Prevalence ; Risk Factors ; Sex Factors ; Uric Acid ; blood

To analyze types of urinary calculi and patients' clinical characteristics, and to explore the strategies for prevention and treatment of urinary calculi.
 Methods: A total of 1 849 patients with urinary calculi were treated in the Department of Urology, the Third Xiangya Hospital of Central South University. The components were analyzed by infrared spectroscopy. The relationship between stone composition and clinical parameters was analyzed according to the clinical characteristics of the patients.
 Results: The proportion of calcium oxalate stone or uric acid stone in male (84.1% or 7.7%) was higher than that in female (78.4% or 4.2%). The older patients were more likely to be diagnosed as uric acid stone. The proportions of uric acid stone in patients <18 years old, 18-<41 years old, 41-<66 years old, and ≥66 years old were 0.0%, 1.6%, 6.6%, and 12.4%, respectively. There was no significant difference in the proportion of stones in patients with different BMI. There were no significant difference in the stone composition between the patients with or without urinary tract infection, hypertension or diabetes. The proportion of uric acid stones in patients with acidic urine was higher than the other types. The proportion of uric acid stones in patients with elevated creatinine (12.1%) was higher than that in the patients with normal creatinine (4.5%).
 Conclusion: Elderly patients, or patients with high uric acid and renal insufficiency are more prone to uric acid stones. Regulation of urinary pH may be an important strategy for preventing and treating urinary calculi in Hunan Province.
Adolescent ; Adult ; Age Factors ; Aged ; Body Mass Index ; Calcium Oxalate ; analysis ; Creatinine ; urine ; Female ; Humans ; Hydrogen-Ion Concentration ; Kidney Calculi ; chemistry ; therapy ; Male ; Middle Aged ; Sex Factors ; Spectrophotometry, Infrared ; Uric Acid ; analysis ; Urinary Calculi ; chemistry ; therapy ; urine

BACKGROUND: Uric acid has been reported to function both as an oxidant or antioxidant depending on the context. A previous study in the Korean population reported a positive linear association between serum uric acid level and arterial stiffness in men, but little is known about how serum uric acid level is related to the risk of increased arterial stiffness in Korean postmenopausal women. METHODS: We performed a cross-sectional study of 293 subjects who participated in a health examination program run by the health promotion center of Gangnam Severance Hospital between October 2007 and July 2010. High brachial-ankle pulse wave velocity was defined as a brachial-ankle pulse wave velocity of more than 1,450 cm/s. The odds ratios (ORs) for high brachial-ankle pulse wave velocity were calculated using multivariate logistic regression analysis across uric acid quartiles after adjusting for other indicators of cardiovascular risk. RESULTS: The 293 postmenopausal women were divided into quartiles according to uric acid level. The mean brachial-ankle pulse wave velocity values of each quartile were as follows: Q1, 1,474 cm/s; Q2, 1,375 cm/s; Q3, 1,422 cm/s; Q4, 1,528 cm/s. The second quartile was designated as the control group based on mean brachial-ankle pulse wave velocity value. Multivariate adjusted ORs (95% confidence intervals) for brachial-ankle pulse wave velocity across the uric acid quartiles were 2.642 (Q1, 1.095–6.3373), 1.00, 4.305 (Q3, 1.798–10.307), and 4.375 (Q4, 1.923–9.949), after adjusting for confounding variables. CONCLUSION: Serum uric acid level has a J-shaped association with arterial stiffness in Korean postmenopausal women.
Cardiovascular Diseases ; Confounding Factors (Epidemiology) ; Cross-Sectional Studies ; Female ; Health Promotion ; Humans ; Logistic Models ; Male ; Menopause ; Odds Ratio ; Pulse Wave Analysis ; Uric Acid* ; Vascular Stiffness*

BACKGROUND: Hyperuricemia is common in end-stage renal disease (ESRD) patients, and many previous studies have reported the associations between hyperuricemia and adverse cardiovascular outcomes, which are the major cause of death in such patients. We investigated the relationship between serum uric acid level and the severity of coronary stenosis in ESRD patients on maintenance hemodialysis (MHD). METHODS: Among 721 patients who started MHD treatment, 102 underwent coronary angiographic tests complaining of chest discomfort that was new at initiation of MHD. We collected data on uric acid level and coronary artery luminal diameter, defining luminal diameter narrowing of more than 50% in any major coronary artery as critical-stenosis. RESULTS: We detected critical coronary artery stenosis in 52 (57.8%) patients. The mean uric acid level was 6.6 ± 2.2 mg/dL, and that was significantly higher in the critical-stenosis group (4.9 ± 1.4 mg/dL vs. 7.8 ± 2.0 mg/dL, P < 0.001). The only independent predictor of critical-stenosis in multivariate analysis was serum uric acid level (P < 0.001). CONCLUSION: High serum uric acid was associated with severe coronary artery stenosis in Korean ESRD patients. Hyperuricemia is a readily modifiable factor, and appropriately preventing it could provide significant benefits in ESRD patients.
Cardiovascular Diseases ; Cause of Death ; Coronary Stenosis* ; Coronary Vessels* ; Humans ; Hyperuricemia ; Kidney Failure, Chronic* ; Multivariate Analysis ; Phenobarbital ; Renal Dialysis ; Renal Insufficiency, Chronic ; Thorax ; Uric Acid*

OBJECTIVETo explore the association of insulin resistance and β cell function with lipid metabolism in middle-aged and elderly Hui and Han populations.

METHODSA total of 1000 subjects age over 40 years were recruited from five urban communities in Yinchuan and Wuzhong cities of Ningxia. The composition ratio between Hui and Han nationality was 1:2. A questionnaire-based survey was performed. Physical examinations were carried out to measure the height, body mass, waistline, and hipline. The levels of triglyceride (TG), total cholesterol (TC), blood uric acid (BUA), fasting blood glucose and insulin were measured. The boby mass index (BMI), waist-hip ratio (WHR), and secretion related index including insulin resistance index (IR), insulin sensitivity index (IAI), and beta cell function index (HBCI) were calculated.

RESULTSThe BMI, WHR, IAI, HBCI, and the prevalence rate of diabetes in Hui nationality were significantly higher than those in Han nationality (P<0.01). The levels of BUA, fasting blood glucose, TC, and IR in Han nationality were significantly lower than those in Hui nationality (P<0.01). In Hui populations, TG, BMI, WHR, and BUA were positively correlated with IR (r=0.234, r=0.193, r=0.143, and r=0.129, respectively; P<0.01) and were negatively correlated with IAI (r=-0.234, r=-0.193, r=-0.143, r=-0.129, respectively; P<0.01), whereas TC was negatively correlated with HBCI (r=-0.169, P<0.01). In Han populations, TC, TG, BMI, WHR, and BUA were positively correlated with IR (r=0.140, r=0.257, r=0.288, r=0.163, r=0.104, P<0.01) and negatively correlated with IAI (r=-0.140, r=-0.257, r=-0.288, r=-0.163, and r=-0.104, P<0.01), whereas BMI was negatively correlated with HBCI (r=-0.111, P<0.01). After the influential factors such as gender, nationality, and age were adjusted, the TC, TG, BMI, WHR, BUA levels were positively correlated with IR (r=0.109, r=0.256, r=0.253, r=0.139, and r=0.142, P<0.01) and negatively correlated with IAI (r=-0.109, r=-0.256, r=-0.253, r=-0.139, and r=-0.142, P<0.01). TC and BMI were negatively correlated with HBCI (r=-0.113, r=-0.086, P<0.01). TG and BMI were independently associated with IR and IAI (r=0.218, r=0.182, r=-0.218, r=-0.182), while TC and BMI were independently associated with HBCI (r=-0.113, r=-0.086).

CONCLUSIONSThe distributions of TC, TG, BMI, WHR, BUA, IR, IAI, and HBCI differ between Han and Hui populations. The development of insulin resistance is closely related with the increased levels of TC, TG, BMI, WHR, and BUA. However, the HBCI increases with the increased level of TC and BMI. TG and BMI may be related with insulin resistance. Also, TC and BMI may affect the secretion function of β cells.

Aged ; Asian Continental Ancestry Group ; Blood Glucose ; analysis ; Body Mass Index ; Cholesterol ; blood ; Ethnic Groups ; Humans ; Insulin ; blood ; Insulin Resistance ; Insulin-Secreting Cells ; cytology ; Lipid Metabolism ; Middle Aged ; Triglycerides ; blood ; Uric Acid ; blood

PURPOSE: This study aimed to assess the accuracy of low-dose dual-energy computed tomography (DECT) in predicting the composition of urinary calculi. MATERIALS AND METHODS: A total of 52 patients with urinary calculi were scanned with a 128-slice dual-source DECT scanner by use of a low-dose protocol. Dual-energy (DE) ratio, weighted average Hounsfield unit (HU) of calculi, radiation dose, and image noise levels were recorded. Two radiologists independently rated study quality. Stone composition was assessed after extraction by Fourier transform infrared spectroscopy (FTIRS). Analysis of variance was used to determine if the differences in HU values and DE ratios between the various calculus groups were significant. Threshold cutoff values to classify the calculi into separate groups were identified by receiver operating characteristic curve analysis. RESULTS: A total of 137 calculi were detected. FTIRS analysis differentiated the calculi into five groups: uric acid (n=17), struvite (n=3), calcium oxalate monohydrate and dihydrate (COM-COD, n=84), calcium oxalate monohydrate (COM, n=28), and carbonate apatite (n=5). The HU value could differentiate only uric acid calculi from calcified calculi (p<0.001). The DE ratio could confidently differentiate uric acid, struvite, calcium oxalate, and carbonate apatite calculi (p<0.001) with cutoff values of 1.12, 1.34, and 1.66, respectively, giving >80% sensitivity and specificity to differentiate them. The DE ratio could not differentiate COM from COM-COD calculi. No study was rated poor in quality by either of the observers. The mean radiation dose was 1.8 mSv. CONCLUSIONS: Low-dose DECT accurately predicts urinary calculus composition in vivo while simultaneously reducing radiation exposure without compromising study quality.
Adult ; Apatites/analysis ; Calcium Oxalate/analysis ; Female ; Humans ; Image Interpretation, Computer-Assisted/methods ; Kidney Calculi/chemistry/pathology/*radiography ; Magnesium Compounds/analysis ; Male ; Middle Aged ; Phosphates/analysis ; Prospective Studies ; Radiation Dosage ; Tomography, X-Ray Computed/methods ; Ureteral Calculi/chemistry/pathology/*radiography ; Uric Acid/analysis ; Waist Circumference ; Young Adult