Data Sheet 1_Lipoprotein combined index and prevalent hyperuricemia among normolipidemic oilfield workers: a cross-sectional study.pdf

ObjectivesThe lipoprotein combined index (LCI) reflects composite lipid metabolic patterns and may capture subtle metabolic disturbances beyond conventional lipid markers. Evidence regarding its relationship with hyperuricemia among normolipidemic individuals is scarce. This study investigated the association between LCI and hyperuricemia in an occupational population with normal lipid levels.
MethodsA total of 2,029 normolipidemic oilfield workers were included. Hyperuricemia was primarily defined using sex-specific serum uric acid thresholds. Associations between LCI and hyperuricemia were examined using logistic regression, with dose-response relationships explored by restricted cubic spline (RCS) analysis. Prespecified subgroup and multiple sensitivity analyses were conducted to assess robustness.
ResultsHyperuricemia prevalence rose from 9.25% in the lowest LCI quartile to 28.99% in the highest. In fully adjusted models, each standard deviation increase in LCI was associated with a 37% higher odds of hyperuricemia (OR = 1.37, 95% CI: 1.20–1.58, P < 0.001). Compared with the lowest quartile, participants in the highest quartile had more than double the odds (OR = 2.18, 95% CI: 1.45–3.30, P < 0.001), with a significant linear trend (P for trend < 0.001). RCS analysis further supported a positive and linear association between LCI and prevalent hyperuricemia (P for nonlinear = 0.427). Subgroup analyses showed consistent positive associations across all strata, with numerically higher ORs observed in older and female individuals, and no statistically significant interactions were detected (all P for interaction > 0.05). All sensitivity analyses yielded similar results.
ConclusionsHigher LCI levels were associated with increased odds of hyperuricemia among normolipidemic oilfield workers. LCI may serve as an early marker of urate-related metabolic dysregulation, offering additional value beyond traditional lipid indicators. Longitudinal studies are warranted to confirm its predictive potential.

研究背景与目的：脂蛋白联合指数（lipoprotein combined index, LCI）可反映复合脂质代谢模式，或能捕捉传统脂质标志物无法识别的细微代谢紊乱。目前针对血脂正常人群中该指数与高尿酸血症相关性的研究较为匮乏。本研究旨在探讨血脂正常的职业人群中脂蛋白联合指数与高尿酸血症的关联。
研究方法：本研究共纳入2029名血脂正常的油田工人。高尿酸血症主要依据性别特异性血清尿酸阈值进行定义。采用logistic回归分析检验脂蛋白联合指数与高尿酸血症的相关性，并通过限制性立方样条（restricted cubic spline, RCS）分析探索二者的剂量反应关系。同时开展预设亚组分析与多重敏感性分析以评估研究结果的稳健性。
研究结果：高尿酸血症患病率从脂蛋白联合指数最低四分位组的9.25%升至最高四分位组的28.99%。在完全校正模型中，脂蛋白联合指数每增加1个标准差，高尿酸血症的发生风险升高37%（比值比OR=1.37，95%置信区间CI：1.20~1.58，P<0.001）。与最低四分位组相比，最高四分位组参与者的高尿酸血症发生风险翻倍以上（OR=2.18，95%CI：1.45~3.30，P<0.001），且存在显著的线性趋势（趋势检验P<0.001）。限制性立方样条分析进一步证实，脂蛋白联合指数与现患高尿酸血症之间呈正线性关联（非线性检验P=0.427）。亚组分析显示，所有分层中均存在一致的正相关关系，老年与女性群体的比值比数值更高，且未检测到具有统计学意义的交互作用（所有交互检验P>0.05）。所有敏感性分析均得到了相似的结果。
研究结论：在血脂正常的油田工人中，较高的脂蛋白联合指数水平与高尿酸血症发生风险升高显著相关。脂蛋白联合指数或可作为尿酸相关代谢紊乱的早期标志物，为传统脂质指标提供额外的临床应用价值。未来需开展纵向研究以验证其预测潜力。