Association between serum uric acid levels of patients with gout and their complications and examination fees: A cross‐sectional analysis

Dang, Wantai; Zhao, Ling; Wang, Jing; Xu, Dan; Liu, Jian; You, Lanlan

doi:10.1111/1756-185x.14609

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…UA is commonly measured for evaluating renal function, diagnosing gout, and monitoring drug response 4,5 . UA has been proposed to be associated with metabolic syndrome, hypertension, cardiovascular diseases, dyslipidemia, and thyroid dysfunction 6–8 . Additionally, there has been an increasing focus on the link between UA levels and the severity of pulmonary disease 9,10 …”

Section: Introductionmentioning

confidence: 99%

“…4,5 UA has been proposed to be associated with metabolic syndrome, hypertension, cardiovascular diseases, dyslipidemia, and thyroid dysfunction. [6][7][8] Additionally, there has been an increasing focus on the link between UA levels and the severity of pulmonary disease. 9,10 Lung function testing is a valuable tool that offers objective measures to aid in diagnosing, clinical management, or surgical preparation of individuals with respiratory symptoms or those at risk of respiratory disease.…”

Section: Introductionmentioning

confidence: 99%

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Association between serum uric acid levels and lung function in the NHANES cohort (2007–2012): A cross‐sectional analysis of a diverse American population

Kang,

Xi,

et al. 2024

Int J of Rheum Dis

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BackgroundHyperuricemia has been linked to various health conditions. However, the relationship between uric acid (UA) levels and lung function remains debated.MethodsIn a cross‐sectional study of 6750 participants aged 20–69 from NHANES, we assessed UA levels and lung function (FVC and FEV1). We conducted regression analyses while adjusting for potential confounders.ResultsAfter accounting for factors like age, sex, BMI, smoking, and more, we found a negative association between UA FVC and FEV1. Specifically, for every 0.1 mg/dL increase in UA, FEV1 decreased by 15.265 mL, and FVC decreased by 24.46 mL. No association was observed with FEV1/FVC. Subgroup analyses revealed similar negative correlations among various groups, particularly in non‐Hispanic Black females under 60.ConclusionSerum UA levels are inversely associated with FEV1 and FVC in the American population, with a notable impact on non‐Hispanic Black females under 60.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between serum uric acid levels and lung function in the NHANES cohort (2007–2012): A cross‐sectional analysis of a diverse American population

Kang,

Xi,

et al. 2024

Int J of Rheum Dis

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“…Renal diseases and cardiometabolic events frequently occur in patients with gout, derived from crystal-induced inflammation, hyperuricemia, and concurrent comorbidities, leading to significant morbidity and mortality. [18][19][20] Renal crystal deposition may also have a direct, detrimental role, 21 while consistent artery wall deposition remains a matter of debate. [22][23][24] In order to tailor preventive strategies, it would be of high interest to identify baseline predictors of subsequent renal and cardiovascular events.…”

Section: Introductionmentioning

confidence: 99%

Prediction of renal and cardiometabolic outcomes in gout during urate‐lowering therapy by sonography

Calabuig,

Marty‐Ané,

Norberciak

et al. 2023

Int J of Rheum Dis

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ObjectivesTo assess whether the extent of monosodium urate (MSU) crystal deposition estimated by ultrasound could predict renal and cardiometabolic events during urate‐lowering therapy (ULT).MethodsA prospective study on gout patients from two referral centers initiating ULT who underwent baseline ultrasound and were followed for 1 year. Ultrasound scans assessed six joints for double‐contour (DC) signs and tophi. A five‐point change (mL/min/1.73 m2) in the glomerular filtration rate at month 12 (M12) was considered significant. Outcomes of interest were renal function degraded versus improved and a composite cardiometabolic outcome (new hypertension, diabetes, atherosclerotic disease, and cardiovascular death). Homogeneity analyses and Cox regression models were performed.ResultsOne hundred sixty patients were recruited. At baseline, 81.1% of patients (n = 129) showed sonographic tophi with a mean number of 1.4 joints (±1.3) with a DC sign. At M12, 18 patients (11.3%) were lost to follow‐up. The serum urate (SU) target (<6.0 mg/dL) was reached in 86 patients (69.9%). Regarding renal function, 15.9% of patients showed improvement, while in 31.0% it degraded. Fourteen new cardiometabolic events occurred in 12 patients. Neither the DC sign nor tophi showed any significant impact on the outcomes of interest. Baseline SU level was higher in those with renal improvement but not with renal decline, while achieving the SU target protected against new cardiometabolic events (HR = 0.2; 95% CI: 0.05–0.81).ConclusionsSonographic MSU crystal burden was unhelpful in predicting renal and cardiometabolic events during the first year of ULT. Reaching the SU target prevented cardiometabolic events, while its benefit in preserving/improving renal function is unclear.

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Study on risk factor analysis and model prediction of hyperuricemia in different populations

Hou,

Shi,

et al. 2024

Front. Nutr.

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ObjectivesThe purpose of the present study was to explore the influencing factors of hyperuricemia (HUA) in different populations in Shandong Province based on clinical biochemical indicators. A prediction model for HUA was constructed to aid in the early prevention and screening of HUA.MethodsIn total, 705 cases were collected from five hospitals, and the risk factors were analyzed by Pearson correlation analysis, binary logistic regression, and receiver operating characteristic (ROC) curve in the gender and age groups. All data were divided into a training set and test set (7:3). The training set included age, gender, total protein (TP), low-density lipoprotein cholesterol (LDL-C), and 15 other indicators. The random forest (RF) and support vector machine (SVM) methods were used to build the HUA model, and model performances were evaluated through 10-fold cross-validation to select the optimal method. Finally, features were extracted, and the ROC curve of the test set was generated.ResultsTP, LDL-C, and glucose (GLU) were risk factors for HUA, and the area under the curve (AUC) value of the SVM validation set was 0.875.ConclusionThe SVM model based on clinical biochemical indicators has good predictive ability for HUA, thus providing a reference for the diagnosis of HUA and the development of an HUA prediction model.

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Association between serum uric acid levels of patients with gout and their complications and examination fees: A cross‐sectional analysis

Cited by 3 publications

References 31 publications

Association between serum uric acid levels and lung function in the NHANES cohort (2007–2012): A cross‐sectional analysis of a diverse American population

Association between serum uric acid levels and lung function in the NHANES cohort (2007–2012): A cross‐sectional analysis of a diverse American population

Prediction of renal and cardiometabolic outcomes in gout during urate‐lowering therapy by sonography

Study on risk factor analysis and model prediction of hyperuricemia in different populations

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