Evidence map›Paper›PMID 40624211›Full record

ArticleScientific reports2025

Association between serum osmolality and chronic kidney disease prevalence: Evidence from NHANES 1999-2018.

Lin Mei, Jian Qin, Xia Liu, Miao Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lin MeiDepartment of Nephrology, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan, China. meilinzgedu@163.com.
Jian QinDepartment of Basic Medicine, Sichuan Vocational College of Health and Rehabilitation, Zigong, 643000, Sichuan, China.
Xia LiuDepartment of Basic Medicine, Sichuan Vocational College of Health and Rehabilitation, Zigong, 643000, Sichuan, China.
Miao YuDepartment of Basic Medicine, Sichuan Vocational College of Health and Rehabilitation, Zigong, 643000, Sichuan, China.

Funding

Sichuan Medical Association 2024SY06Zigong Key Science and Technology Plan Project 2020ZC28Zigong Municipal Health and Science Research Project 22yb079
6 · The paper itself

Abstract

backgroundChronic 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.

methodsThis 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.

resultsA 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.

conclusionThis 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.

Indexed as

Renal Insufficiency, ChronicAdultAgedBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysOsmolar ConcentrationPrevalenceRisk FactorsBiomarkersChronic kidney diseaseCross-sectional studyNHANESSerum osmolality

Identifiers

PMID40624211
PMCPMC12234671

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.