The occurrence of hyperuricemia is frequently associated with diabetic ketoacidosis (DKA), however, crystalluria from the precipitation of calcium oxalate, uric acid, or urate crystals, is less known. Metabolic derangements during DKA, especially acidic urinary pH and hyperuricosuria are the main risk factors for uric acid crystals and stones. Here we report a case of uric acid crystalluria following the recovery phase of DKA.
Crystalluria ; Uric Acid ; Diabetic Ketoacidosis

OBJECTIVE: To observe the clinical efficacy of moxibustion combined with coptis chinensis ointment sealing on plaque psoriasis complicated with obesity. METHODS: A total of 52 patients of plaque psoriasis complicated with obesity were randomized into an observation group (26 cases) and a control group (26 cases, 2 cases dropped off). Coptis chinensis ointment sealing was adopted in the control group. On the basis of the treatment in the control group, moxibustion was applied at ashi point (area of local target lesions), Zhongwan (CV 12) and bilateral Zusanli (ST 36), Fenglong (ST 40), Quchi (LI 11), Tianshu (ST 25), Shangjuxu (ST 37) in the observation group. The treatment was given 30 min each time, once a day for 4 weeks in both groups. The psoriasis area and severity index (PASI) score, obesity related indexes (body mass, waist circumference, body mass index [BMI]), triglyceride, cholesterol, uric acid and plasma glucose were compared before and after treatment, and the clinical efficacy was evaluated in the two groups. RESULTS: After treatment, the PASI scores were decreased compared with those before treatment in the two groups (P<0.01), and the PASI score in the observation group was lower than that in the control group (P<0.05); the body mass, waist circumference, BMI, triglyceride, cholesterol, uric acid and plasma glucose were decreased compared with those before treatment in the observation group (P<0.01, P<0.05), the triglyceride and cholesterol in the observation group were lower than those in the control group (P<0.05). The total effective rate was 53.8% (14/26) in the observation group, which was superior to 20.8% (5/24) in the control group (P<0.05). CONCLUSION Moxibustion combined with coptis chinensis ointment sealing can effectively improve the clinical symptoms in patients of plaque psoriasis complicated with obesity.
Humans ; Moxibustion ; Blood Glucose ; Ointments ; Uric Acid ; Psoriasis/therapy* ; Triglycerides ; Obesity/therapy*

Humans ; Uric Acid ; Cross-Sectional Studies ; Spondylarthritis/diagnostic imaging* ; C-Reactive Protein ; Spondylitis, Ankylosing

Objective To explore the relationship between insulin resistance (IR) indexes and hyperuricemia (HUA) among the people with hypertension. Methods From July to August in 2018,hypertension screening was carried out in Wuyuan county,Jiangxi province,and the data were collected through questionnaire survey,physical measurement,and biochemical test.Logistic regression was performed to analyze the relationship between HUA and IR indexes including metabolic score for IR (METS-IR),triglyceride-glucose (TyG) index,TyG-body mass index (BMI),TyG-waist circumference (WC),visceral adiposity index (VAI),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and lipid accumulation product (LAP).The penalty spline method was used for the curve fitting between IR indexes and HUA.The area under the receiver operating characteristic curve (AUC) was employed to reveal the correlation between each index and HUA. Results The 14 220 hypertension patients included 6 713 males and 7 507 females,with the average age of (63.8±9.4) years old,the average uric acid level of (418.9±120.6) mmol/L,and the HUA detection rate of 44.4%.The HUA group had higher proportions of males,current drinking,current smoking,diabetes,and using antihypertensive drugs,older age,higher diastolic blood pressure,WC,BMI,homocysteine,total cholesterol,TG,low-density lipoprotein cholesterol,blood urea nitrogen,creatinine,aspartate aminotransferase,alanine aminotransferase,total protein,albumin,total bilirubin,direct bilirubin, METS-IR, TyG, TyG-BMI, TyG-WC, VAI, TG/HDL-C, and LAP, and lower systolic blood pressure and HDL-C than the normal uric acid group (all P<0.05).Multivariate Logistic regression showed that METS-IR (OR=1.049,95%CI=1.038-1.060, P<0.001), TyG (OR=1.639,95%CI=1.496-1.797, P<0.001), TyG-BMI (OR=1.008,95%CI=1.006-1.010, P<0.001), TyG-WC (OR=1.003,95%CI=1.002-1.004, P<0.001), lnVAI (OR=1.850, 95%CI=1.735-1.973, P<0.001), ln(TG/HDL-C) (OR=1.862,95%CI=1.692-2.048, P<0.001),and lnLAP (OR=1.503,95%CI=1.401-1.613,P<0.001) were associated with the risk of HUA.Curve fitting indicated that METS-IR,TyG,TYG-BMI,TYG-WC,lnVAI,ln(TG/HDL-C),and lnLAP were positively correlated with HUA (all P<0.001),and the AUC of TyG index was higher than that of other IR indexes (all P<0.05). Conclusion Increased IR indexes,especially TyG,were associated with the risk of HUA among people with hypertension.
Male ; Female ; Humans ; Middle Aged ; Aged ; Insulin Resistance ; Hyperuricemia ; Uric Acid ; Hypertension/complications* ; Glucose ; Obesity, Abdominal/epidemiology* ; Triglycerides ; Bilirubin ; Cholesterol ; Blood Glucose/metabolism*

OBJECTIVES: To study the correlation of intestinal dominant flora with hyperuricemia, and to explore influencing factors of hyperuricemia. METHODS: Data of gut dominant microbiota were collected from subjects who underwent health check-up in Shulan (Hangzhou) Hospital from January 2018 to April 2020. Subjects with high uric acid and normal uric acid were matched by propensity score matching method according to age, gender and body mass index (BMI). This resulted in 178 pairs as hyperuricemia group and control group. The gut dominant microbiota between hyperuricemia and normal control group were compared. Pearson or Spearman correlation coefficient method was used to analyze the correlation between blood uric acid and intestinal dominant flora. Univariate and multivariate logistic regression were used to analyze the influencing factors of hyperuricemia. RESULTS: The abundance of Atopobium, Lactobacillus, Bacteroides, Enterococcus, Clostridium leptum, Fusobacterium prausnitzii, Bifidobacterium, Clostridium butyricum and the ratio of Bifidobacterium to Enterobacter (B/E) in the hyperuricemia group were significantly lower than those in the control group (all P<0.01). The correlation analysis showed that serum uric acid were negatively correlated with the abundance of Atopobium (r=－0.224, P<0.01), Bacteroides (r=－0.116, P<0.05), Clostridium leptum (r=－0.196, P<0.01), Fusobacterium prausnitzii (r=－0.244, P<0.01), Bifidobacterium (r=－0.237, P<0.01), Eubacterium rectale (r=－0.125, P<0.05), Clostridium butyricum (r=－0.176, P<0.01) and B/E value (r=－0.127, P<0.05). Multivariate logistic regression analysis showed that glutamyl transpeptidase was an independent risk factor for hyperuricemia (OR=1.007, 95%CI: 1.002-1.012, P<0.05), and the Atopobium was an independent protective factor for hyperuricemia (OR=0.714, 95%CI: 0.605-0.842, P<0.01). CONCLUSIONS There are alterations in abundance of gut dominant microbiota in patients with hyperuricemia, and Atopobium abundance appears as a protective factor for hyperuricemia.
Humans ; Uric Acid ; Hyperuricemia ; Body Mass Index ; Risk Factors ; Microbiota

OBJECTIVES: Diabetic kidney disease is one of the most serious complications of diabetes mellitus (DM), and it is a main cause for chronic kidney disease and end-stage kidney disease (ESRD). It is important to find out the factors that cause the progression of renal function. The study aims to explore the relationship between serum uric acid (SUA) trajectory and the progression of renal function in patients with Type 2 diabetes mellitus (T2DM). METHODS: A total of 846 patients with T2DM, who were admitted to the Department of Nephrology and Endocrinology, the Third Xiangya Hospital of Central South University, from January 2009 to December 2021 and met the criteria of baseline estimated glomerular filtration rate (eGFR)≥60 mL/(min·1.73 m²), were selected as the research subjects. The SUA data of multiple measurements were collected and identified as different SUA trajectories by group-based trajectory modeling (GBTM). According to the SUA trajectories, the patients were divided into a low trajectory group (105 cases), a middle trajectory group (396 cases), a middle high trajectory group (278 cases), and a high trajectory group (67 cases). Cox regression analysis was used to examine the effect of SUA trajectory on the progression of renal function in patients with T2DM. Subgroup analysis was performed by sex, age, course of disease, body mass index (BMI) and hemoglobin A1c (HbA1c). RESULTS: The median follow-up was 4.8 years. At the end of follow-up, 158 patients had different degrees of decline in renal function. After adjusting for multiple confounding factors by Cox regression analysis, the risks of eGFR<60 mL/(min·1.73 m²), eGFR reduction rate≥50%, serum creatinine (Scr) doubling and composite endpoint (eGFR reduction rate≥50%, Scr doubling or ESRD) in the high trajectory group were significantly higher than those in the low trajectory group, with HR of 3.84 (95% CI 1.83 to 8.05), 6.90 (95% CI 2.27 to 20.96), 6.29 (95% CI 2.03 to 19.52), and 8.04 (95% CI 2.68 to 24.18), respectively. There was no significant difference in the risk of ESRD among the above 4 groups (all P>0.05). Subgroup analysis showed that: compared with the low trajectory group, the risks of eGFR<60 mL/(min·1.73 m²) in patients with high trajectory in the subgroup of male, female, age<65 years, course of disease<10 years, BMI≥24 kg/m² and HbA1c≥7% were increased (all P<0.05). The SUA trajectory had no interaction with sex, age, course of disease, BMI and HbA1c (all interactive P>0.05). CONCLUSIONS The high SUA trajectory increases the risk for progression of renal function in patients with T2DM. Long-term longitudinal changes of SUA should be paid attention to.
Humans ; Male ; Female ; Aged ; Diabetes Mellitus, Type 2/complications* ; Cohort Studies ; Uric Acid ; Glycated Hemoglobin ; Renal Insufficiency, Chronic ; Kidney Failure, Chronic/complications* ; Glomerular Filtration Rate ; Kidney/physiology* ; Risk Factors

Objective: To investigate the relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status. Methods: The demographic data and biochemical indicators of the adult population who had received physical examination in the Second Medical Center of the PLA General Hospital from January 2018 to December 2021 were collected. The subjects were divided into two groups according to the level of serum uric acid: the normal uric acid group and the hyperuricemia group. The relationship between hemoglobin (stratified into four levels of Q₁ to Q₄ by the quartile) and serum uric acid was quantified by using Pearson correlation and logistic regression analysis. The effects of age and glucose metabolism status on the relationship between hemoglobin and serum uric acid were analyzed. Results: A total of 33 183 adults were enrolled with age (50.6±10.0) years. The level of hemoglobin in the normal uric acid group (142.61±14.24) g/L was significantly lower than that in the hyperuricemia group [(151.79±11.24) g/L, P<0.001]. Univariate Pearson correlation analysis showed that hemoglobin was positively associated with serum uric acid (r=0.444, P<0.001). After adjusting for related confounding factors, multivariate logistic regression analysis showed that hemoglobin was associated with serum uric acid, and the OR values (95%CI) of hemoglobin Q₂ to Q₄ group were 1.29 (1.13-1.48), 1.42 (1.24-1.62) and 1.51 (1.32-1.72), respectively (P_trend<0.001) when compared with hemoglobin Q₁ group. Subgroup analysis and hierarchical interaction analysis suggested that with the increase of hemoglobin, the serum uric acid in the age<60 years subgroup, normal glucose subgroup and prediabetes subgroup increased gradually (P_trend<0.05 and P_interaction<0.001). Conclusion: The association between hemoglobin and serum uric acid in adults is affected by age and glucose metabolism status.
Humans ; Adult ; Middle Aged ; Uric Acid ; Hyperuricemia/epidemiology* ; Hemoglobins ; Prediabetic State ; Glucose ; Risk Factors

Objective: To investigate the association of plasma vitamin B₁₂ level with plasma uric acid level among the elderly over 65 in 9 longevity areas of China. Methods: The elderly over 65 years old with complete information on plasma vitamin B₁₂ and plasma uric acid from Healthy Aging and Biomarkers Cohort Study (2017 to 2018) were recruited in this study. Information on socio-demographic characteristics, life styles, diet intake, and health status were collected by questionnaire and physical examination; and fasting venous blood was collected to detect the levels of plasma vitamin B₁₂, uric acid and other indicators. Multiple linear regression models were used to analyze the association of plasma vitamin B₁₂ level per interquartile range increase with plasma uric acid level. The association trend of plasma vitamin B₁₂ level with plasma uric acid level was described by restrictive cubic splines fitting multiple linear regression model. Multiple logistic regression models were used to analyze the association of plasma vitamin B₁₂ level stratified by quartiles with hyperuricemia. Results: A total of 2 471 participants were finally included in the study, the age was (84.88±19.76) years old, of which 1 291 (52.25%) were female. The M (Q₁, Q₃) level of plasma vitamin B₁₂ was 294 (203, 440) pg/ml and the plasma uric acid level was (341.01±90.46) μmol/L. A total of 422 participants (17.08%) were defined with hyperuricemia. The results of multiple linear regression model showed that there was a positive association of plasma vitamin B₁₂ level with plasma uric acid level after adjustment for covariates (P<0.05). An IQR increase in plasma vitamin B₁₂ (237 pg/ml) was associated with a 6.36 (95%CI: 2.00-10.72) μmol/L increase in the plasma uric acid level. The restrictive cubic splines curve showed a positive linear association of log-transformed plasma vitamin B₁₂ with uric acid level (P<0.001). Conclusion: There is a positive association of plasma vitamin B₁₂ level with plasma uric acid level among the elderly over 65 years old in 9 longevity areas of China.
Humans ; Female ; Aged ; Aged, 80 and over ; Male ; Vitamin B 12 ; Uric Acid ; Cohort Studies ; Hyperuricemia ; Vitamins ; Folic Acid

Objective: To analyze the difference in blood uric acid levels between patients with polycystic ovary syndrome (PCOS) and healthy women of childbearing age, and to investigate the correlation between body composition and blood uric acid levels. Methods: A total of 153 eligible childbearing age patients with PCOS treated at Tianjin Medical University General Hospital from January 2018 to March 2022 were selected, and 153 healthy women with normal menstruation were selected as the control group. Fasting blood uric acid levels were measured by venous blood test, and body composition was measured by a body composition analyzer. Group comparisons were made to analyze the correlation between body composition and blood uric acid levels. Results: The incidence of hyperuricemia was higher in patients with PCOS than that in the control group [30.1% (46/153) vs 2.0% (3/153)], with a statistically significant difference (χ²=44.429, P<0.001). Blood uric acid level was also significantly higher in patients with PCOS than that in the control group [(371±98) vs (265±67) μmol/L; t=11.170, P<0.001]. Among PCOS patients, there were statistically significant differences in weight, body mass index (BMI), body fat mass, skeletal muscle mass, percent body fat, lean body weight, fat mass/lean body weight, percent skeletal muscle, and visceral fat level between the hyperuricemia group and the normal blood uric acid group (all P<0.001), but no significant difference was observed in waist-hip ratio (P=0.348). The following body composition indicators: weight, BMI, waist-hip ratio, body fat mass, skeletal muscle mass, percent body fat, visceral fat level, lean body weight, and fat mass/lean body weight in all subjects, the PCOS patients and the control group, were positively correlated with blood uric acid levels (all P<0.01). The blood uric acid level in PCOS obese patients was higher than that in non-obese PCOS patients, and the difference was statistically significant [(425±83) vs (336±91) μmol/L; t=6.133, P<0.001]. The blood uric acid level in central obesity PCOS patients was also higher than that in non-central obesity PCOS patients [(385±95) vs (299±79) μmol/L], the difference was statistically significant (t=4.261, P<0.001). The blood uric acid level in normal-weight obese PCOS patients was higher than that in normal-weight non-obese PCOS patients [(333±73) vs (277±54) μmol/L], and the difference was statistically significant (t=2.848, P=0.006). Blood uric acid levels in normal-weight [(315±74) vs (255±67) μmol/L], overweight [(362±102) vs (276±57) μmol/L], and obese PCOS patients [(425±83) vs (303±74) μmol/L] were all higher than those in the corresponding control groups, with statistically significant differences (all P<0.001). Conclusions: PCOS patients have a higher incidence of hyperuricemia than healthy women of childbearing age. Blood uric acid levels are closely correlated with body composition indicators, such as weight, BMI, waist-hip ratio, body fat mass, skeletal muscle mass, percent body fat, and visceral fat level. Body composition analysis of women with PCOS could help identify potentially obese people more accurately and carry out individualized treatment, thereby reducing the risk of metabolic abnormalities.
Humans ; Female ; Polycystic Ovary Syndrome/complications* ; Uric Acid ; Hyperuricemia/complications* ; Insulin ; Body Composition/physiology* ; Obesity/complications* ; Body Mass Index

Humans ; Amyotrophic Lateral Sclerosis/drug therapy* ; Uric Acid