Mei Lin, Qin Jian, Liu Xia, Yu Miao
Department of Nephrology, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan, China.
Department of Basic Medicine, Sichuan Vocational College of Health and Rehabilitation, Zigong, 643000, Sichuan, China.
Sci Rep. 2025 Jul 7;15(1):24295. doi: 10.1038/s41598-025-08624-9.
Chronic kidney disease (CKD) is a significant global public health issue, and early identification of risk factors is critical for prevention and intervention. In recent years, serum osmolality has attracted attention as a potential biomarker; however, its association with CKD remains insufficiently understood.
This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2018, including 49,008 participants. The association between serum osmolality levels and CKD prevalence was evaluated using multivariable logistic regression models and restricted cubic spline (RCS) analysis to explore both linear and nonlinear relationships. Subgroup and interaction analyses were performed to assess the applicability of the findings across different populations.
A total of 9,422 participants were diagnosed with CKD. The unadjusted model showed a significant positive association between serum osmolality levels and CKD prevalence (OR: 1.11, 95% CI 1.10-1.12, P < 0.001). In the fully adjusted model (Model 3), the association remained significant (OR: 1.18, 95% CI: 1.17-1.20, P < 0.001). Quartile analysis revealed that participants in the highest quartile (Q4) had a significantly higher risk of CKD compared to those in the lowest quartile (Q1) (OR: 3.97, 95% CI 3.38-4.66, P < 0.001). The trend test indicated a significant positive association between serum osmolality and CKD prevalence (P for trend < 0.001). RCS analysis further confirmed this positive association and identified a nonlinear relationship (P for non-linearity < 0.001). Subgroup analysis showed that the association remained consistent across subgroups, while interaction analysis revealed significant interaction effects for age, gender, and hypertension.
This study demonstrates a significant positive association between serum osmolality levels and CKD prevalence, with broad applicability. Serum osmolality may serve as a potential marker for CKD risk assessment. These findings provide new insights for CKD risk evaluation and management.
慢性肾脏病(CKD)是一个重大的全球公共卫生问题,早期识别危险因素对于预防和干预至关重要。近年来,血清渗透压作为一种潜在的生物标志物受到关注;然而,其与CKD的关联仍未得到充分理解。
本研究分析了1999年至2018年期间进行的美国国家健康与营养检查调查(NHANES)的数据,包括49,008名参与者。使用多变量逻辑回归模型和受限立方样条(RCS)分析评估血清渗透压水平与CKD患病率之间的关联,以探索线性和非线性关系。进行亚组分析和交互分析,以评估研究结果在不同人群中的适用性。
共有9,422名参与者被诊断为CKD。未调整模型显示血清渗透压水平与CKD患病率之间存在显著正相关(比值比:1.11,95%置信区间1.10 - 1.12,P < 0.001)。在完全调整模型(模型3)中,该关联仍然显著(比值比:1.18,95%置信区间:1.17 - 1.20,P < 0.001)。四分位数分析显示,与最低四分位数(Q1)的参与者相比,最高四分位数(Q4)的参与者患CKD的风险显著更高(比值比:3.97,95%置信区间3.38 - 4.66,P < 0.001)。趋势检验表明血清渗透压与CKD患病率之间存在显著正相关(趋势P < 0.001)。RCS分析进一步证实了这种正相关,并确定了非线性关系(非线性P < 0.001)。亚组分析表明,各亚组之间的关联保持一致,而交互分析显示年龄、性别和高血压存在显著的交互作用。
本研究表明血清渗透压水平与CKD患病率之间存在显著正相关,具有广泛的适用性。血清渗透压可能作为CKD风险评估的潜在标志物。这些发现为CKD风险评估和管理提供了新的见解。