A preliminary probabilistic nomogram model for predicting hyperuricemia in male participants DOI Creative Commons
Shuai Zhang, Hao Liang, Ye Zhu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract Objectives Hyperuricaemia (HUA) is a major contributing factor to the development of gout and linked an increased risk cardiometabolic disease, particularly in men. Despite this, there lack simple tools for predicting HUA male patients. This study aims develop validate nomogram model estimate subjects. Methods A total 21,953 eligible participants, aged 18 years older, were consecutively recruited during routine medical examinations at Northern Jiangsu People’s Hospital from July 2014 August 2023. To identify factors related subjects, least absolute shrinkage selection operator (LASSO) regression logistic methods used. was subsequently constructed predict likelihood men.The performance proposed evaluated based on calibration plot, ROC curve Harrell’s concordance index (C-index). Results Patients with hyperuricemia exhibited significantly elevated levels BMI, red blood cell count, hemoglobin, hematocrit, glucose, serum urea, creatinine, cholesterol, LDL-c, triglyceride compared those without (P < 0.001). Conversely, age HDL-c patients notably lower than Predictors used prediction included TG, Creatinine RBC. Then, established above indicators. Our achieved well-fitted curves C-indices this 0.700 (95% CI: 0.692–0.708) 0.705 0.691–0.720) validation groups, respectively. Conclusions With excellent predictive abilities, serves as straightforward dependable tool estimating among participants.

Language: Английский

Association Between the TG/HDL-c Ratio and Hyperuricemia in Women participants in China: A Cross-sectional Study DOI Creative Commons
Shuai Zhang, Hao Liang, Jia You

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Abstract Objectives: The study aimed to assess the clinical value of triglyceride/high-density lipoprotein cholesterol(TG/HDL-c) ratio as a diagnostic marker for hyperuricemia (HUA) in female population China. Methods: A total 21,316 eligible participants, aged 18 years and older, were consecutively recruited during routine medical examinations at Northern Jiangsu People’s Hospital from July 2014 August 2023. Participants divided into four groups based on their TG/HDL-c values. Logistic regression analysis models employed further investigate correlation between prevalence HUA this region.Restricted cubic splines (RCS) used explore linear associations HUA. Results: The average age participants was 42.68±13.96 overall is 6.41%. mean uric acid level 265.34±59.72umol/L. univariate logistic showed that higher positively correlated with presence (OR (95%CI) =3.601(3.281,3.951), P < 0.001). In different we found statistically significant association levels HUA(P<0.05). there nonlinear (P 0.001).After adjusting multiple covariates, interaction BMI, well creatinine, difference (P < 0.05).The AUC predicting occurrence among 0.717(95%Cl:0.703-0.731). Conclusions: An elevated TG/HDL-C increases risk females eastern China, particularly individuals low creatinine normal body weight. Monitoring may be beneficial preventing women.

Language: Английский

Citations

0
A preliminary probabilistic nomogram model for predicting hyperuricemia in male participants DOI Creative Commons
Shuai Zhang, Hao Liang, Ye Zhu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract Objectives Hyperuricaemia (HUA) is a major contributing factor to the development of gout and linked an increased risk cardiometabolic disease, particularly in men. Despite this, there lack simple tools for predicting HUA male patients. This study aims develop validate nomogram model estimate subjects. Methods A total 21,953 eligible participants, aged 18 years older, were consecutively recruited during routine medical examinations at Northern Jiangsu People’s Hospital from July 2014 August 2023. To identify factors related subjects, least absolute shrinkage selection operator (LASSO) regression logistic methods used. was subsequently constructed predict likelihood men.The performance proposed evaluated based on calibration plot, ROC curve Harrell’s concordance index (C-index). Results Patients with hyperuricemia exhibited significantly elevated levels BMI, red blood cell count, hemoglobin, hematocrit, glucose, serum urea, creatinine, cholesterol, LDL-c, triglyceride compared those without (P < 0.001). Conversely, age HDL-c patients notably lower than Predictors used prediction included TG, Creatinine RBC. Then, established above indicators. Our achieved well-fitted curves C-indices this 0.700 (95% CI: 0.692–0.708) 0.705 0.691–0.720) validation groups, respectively. Conclusions With excellent predictive abilities, serves as straightforward dependable tool estimating among participants.

Language: Английский

Citations

0