Anemia-driven heterogeneity in TG-UA Association: A DDML approach to precision management of hyperuricemia in hospitalized patients aged 50–65
Tong Zhi, Jin Song, Shuai Zhang, Qi Li, Mingrui Li, Huaxin Zhang, Shengqian Sun, Shengqian Sun, Shengqian Sun

TL;DR
This study explores how anemia affects the link between triglycerides and uric acid in middle-aged hospitalized patients, suggesting that lowering triglycerides may help manage hyperuricemia but not in anemic individuals.
Contribution
The study introduces a DDML approach to reveal anemia-driven heterogeneity in the TG-UA association for precision management of hyperuricemia.
Findings
Elevated TG levels are strongly associated with increased UA levels in non-anemic individuals aged 50–65.
Anemic patients aged 50–65 show no significant TG-UA association, regardless of gender.
Reducing blood TG levels may be an effective strategy for managing hyperuricemia in non-anemic individuals.
Abstract
Hyperuricemia has posed a great threat in the globe and is also linked with serious health risks such as hyperlipidemia. Extensive researches have explored the relationship between hypertriglyceridemia and serum uric acid (UA), but the results are mixed due to multiple demographic and cardiovascular-related factors. Our research aims to delve into the relationship between triglyceride (TG) and serum UA across various demographic groups and groups with different anemic conditions. Our research concentrated on patients admitted to Beijing Fengtai Youanmen Hospital from August 2016 to June 2023, the final dataset encompassed clinical data from 43,758 patients, providing a robust basis for our analysis. Data analysis was conducted using Stata MP version 17.1 (Stata Corp LLC, College Station, TX, USA). By using double debiased machine learning method to delve into the relationship between TG…
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Taxonomy
TopicsGout, Hyperuricemia, Uric Acid · Bone and Joint Diseases · Liver Disease Diagnosis and Treatment
