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The association between hyperuricemia and insulin resistance (IR) has been demonstrated by many studies, but the traditional IR indexes are too impractical to be used in clinical practice for the recognition of the IR state in individuals with hyperuricemia. Therefore, we aimed to further investigate the association between hyperuricemia and three non-insulin-based IR indexes in this large-scale cross-sectional study.A total of 174,695 adults without self-reported use of antihyperuricemic agents, hypoglycemic agents, or lipid-lowering drugs were included in the current analysis. The triglyceride to high-density lipoprotein cholesterol ratio (TG/HDLc), the product of fasting triglycerides and glucose (TyG), and metabolic score for IR (METS-IR) were calculated. Then, logistic regression analyses were applied to explore their association with hyperuricemia.The TG/HDLc, TyG, and METS-IR all had positive correlations with uric acid level. However, only TG/HDLc and TyG were significantly associated with hyperuricemia in both sexes and body mass index (BMI) classification (the ORs of the highest quartile for each were 6.751 and 1.505 in females and 6.487 and 1.646 in males, respectively). The AUC values of TG/HDLc and TyG to discriminate hyperuricemia were also statistically significant in both sexes and BMI classification (all greater than 0.7).TG/HDLc and TyG are strongly associated with hyperuricemia regardless of BMI classification. These two obtainable and cost-effective non-insulin-based IR indexes could be potential monitors during the management of hyperuricemia and prevention of its IR-driven comorbidities. Key Points • In this large-scale study, we identified TG/HDLc and TyG as indicators for identification of IR in patients with hyperuricemia. • These simple and practical IR indicators are of substantial clinical importance for implementing preventive strategies against IR-driven comorbidities of hyperuricemia.

The association between several novel adiposity indices and hyperuricemia is inconclusive. Therefore, we aimed to investigate this association so as to provide theoretical support for the management of hyperuricemia in overweight/obese individuals. A cross-sectional study was carried out among 174,698 adults. The values of body adiposity index (BAI), conicity index (CI), a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), lipid accumulation product (LAP) index, and cardiometabolic index (CMI) were divided into four quartiles, and multivariate logistic analysis was used to analyze the association between them and hyperuricemia. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the power of predictions for hyperuricemia. After adjusting for confounding variables, LAP and CMI exhibited stronger association with hyperuricemia than other indices. The odd ratio (OR) for hyperuricemia in the highest quartile of the LAP and CMI was 2.049 (CI 95% = 1.824–2.302) and 4.332(CI 95% = 3.938–4.765). The AUC value of LAP was 0.632 (95% CI = 0.626–0.637), p

To estimate the mortality and describe the causes of death in a large multicenter cohort of hospitalized patients with SLE in China. This was a retrospective study of a nationwide SLE cohort (10 centers, 29,510 hospitalized patients) from 2005 to 2014 in China. Standardized mortality ratios (SMRs) were calculated for all death and were stratified by sex and age. Chi-square test was used to determine whether the major causes of death vary in age, sex, duration of SLE, disease activity, or medications. Comparison between dead patients and survival controls was used to identify the risk factors for mortality. Logistic regression analysis was used to evaluate the risk factors for mortality. A total of 360 patients died during the study period, accounting for 1.22%. The overall SMR was 2.13 (95% CI 1.96, 2.30), with a particularly high SMR seen in subgroups characterized by younger age. Infection (65.8%) was the most common cause of death, followed by lupus nephritis (48.6%), hematological abnormality (18.1%), neuropsychiatric lupus/NPSLE (15.8%), and interstitial pneumonia (13.1%). Cardiovascular disease and malignancy contributed little to the causes of death. Infection, in particular severe pulmonary infection, emerged as the foremost risk factor for mortality, followed by lupus encephalopathy. However, lupus nephritis and hematological abnormalities occurred more frequently in survival patients. SLE patients at a younger age of diagnosis have a poorer prognosis. Infection dominated the causes of death in recent China. Ethnicity and medications might account for the differences in causes of death compared with western populations.

The metabolic characteristics of rheumatoid arthritis (RA) or diabetes mellitus (DM) have been studied, but the metabolic abnormalities of RA patients complicated with DM are not completely understood. Therefore, we recruited RA patients with DM to investigate the metabolic abnormalities in these patients. We collected data of RA patients with DM and age- and sex-matched RA and DM patients from Changhai Hospital’s electronic medical record system. Data of demographically matched healthy controls were also collected from the health management system of the Hangzhou Sanatorium of People’s Liberation Army. Blood pressure, uric acid, glucose, and lipid levels were compared. The clinical data of RA with DM (n = 104), DM (n = 100), and RA (n = 100) patients and healthy controls (n = 100) were collected and compared. RA patients with DM had higher blood pressure and lower high-density lipoprotein cholesterol levels than the other three groups, a higher triglycerides (TG) level than healthy controls and RA patients, and a lower TG level than DM patients. RA patients with DM exhibited a relatively high proportion of metabolic abnormalities based on existing standards. Our study examined metabolic abnormalities in RA patients with DM for the first time, and our results suggest that clinicians should pay more attention to the metabolic abnormalities of RA patients with DM.