Our longitudinal study demonstrated that high serum uric acid levels increase the risk of obesity.

An elevated serum uric acid concentration may be associated with hypertension, which is the leading cause of death worldwide. However, whether the elevation is causal or a consequence of hypertension among the Chinese population remains unclear. This study was designed to investigate the longitudinal relationship between the serum uric acid concentrations and hypertension among Chinese individuals. This study included 5105 subjects, initially without hypertension, who were followed up for 9 years. The subjects were divided into four groups based on the serum uric acid quartile. Cox proportional hazard models were used to analyse the risk factors for hypertension development. Over the 9 years, 2259 of the subjects developed hypertension. The overall 9-year cumulative incidence of hypertension was 44.3%, ranging from 36.3% in quartile 1 to 42.4%, 44.1%, and 54.5% in quartiles 2, 3, and 4, respectively (p for trend<0.001). The Cox regression analyses indicated that the serum uric acid concentrations were independently and positively associated with the risk of incident hypertension. This longitudinal study demonstrated that high serum uric acid concentrations increase the risk of hypertension among the Chinese population.

Background The treatment status of type 2 diabetes mellitus (T2DM) in Ningbo has not been reported in the past. To evaluate the current status of T2DM in Ningbo and provide evidence to formulate more policies, a multicenter investigation was needed. Methods The Ningbo Clinical Research Group of Diabetes constituted nine hospitals. Participants included 3015 patients who visited the nine hospitals from June to December 2016. General characteristics, the medication situation, the laboratory indexes in nearly 3 months consisting of glycosylated hemoglobin level (HbA1c), low‐density lipoprotein cholesterol (LDL‐C), and fasting blood glucose (FBG), and the results of ophthalmologic examination were investigated. The evaluation criteria were defined based on 2013 China guideline for T2DM. Results The 3015 subjects included 1685 men and 1330 women. The average age was 63.3 ± 13.0 years. The prevalence of hypertension and dyslipidemia was 58.7% and 56.7%, respectively. In the examinees, nephropathy appeared in 11.6% and retinopathy in 14.5%. More than half (50.9%) of the subjects were overweight. The achievement rate of blood pressure (BP) was 39.6% (<140/80 mm Hg), FBG was 46.0% (4.4‐7.0 mmol/L), HbA1c was 41.7% (<7.0%), and LDL‐C was 51.7% (<1.8 mmol/L; and if accompanied by CHD, <2.6). Conclusion Ningbo City T2DM status is not optimistic, and there is a big gap with the indicators.

Background: Obstructive sleep apnea (OSA) is a kind of sleep respiratory disease with high prevalence and low diagnosis rate. With the progression of the disease, it will cause multiple organ damage, reduce the quality of life of patients and increase the economic burden. The aim of this study was to develop a predictive model of Chinese population suffering from OSA.Methods:We studied 120 patients who have visited our hospital from August 2018 to December 2020. Physical examination, demographic data, laboratory and ultrasound results and previous medical histories were collected. The least absolute shrinkage and selection operator method was used to select the risk factors of OSA and develop a predictive model. The accuracy of the predictive model was evaluated by C-index, calibration plot and receiver operating characteristic curve. The clinical application value of the predictive model was analyzed by decision curve analysis.Results:The predictive model contains 8 risk factors, including gender, body mass index, hypertension, diabetes mellitus, creatinine, blood urea nitrogen, serum uric acid and triglyceride. C-index of this predictive model is 0.898, and the area under curve of ROC curve is 0.894. Decision curve analysis showed that the predictive model was clinically useful.Conclusion:This predictive model could be conveniently used to predict the risk of OSA in the Chinese population.