Glomerular hyperfiltration may be a novel risk factor of restrictive spirometry pattern: Analysis of the Korea National Health and Nutrition Examination Survey (KNHANES) 2009-2015

PLoS One. 2019 Sep 25;14(9):e0223050. doi: 10.1371/journal.pone.0223050. eCollection 2019.

Abstract

Background and objectives: There have been limited studies regarding the association between glomerular hyperfiltration (GHF) and restrictive spirometry pattern (RSP) in Korean adults.

Methods: We used data of 23,189 adults from the Korea National Health and Nutritional Examination Survey 2009-2015 with a complete data set including spirometry, serum creatinine, and anthropometric measurements. Spirometry data included the forced expiratory volume in one second (FEV1) and forced vital capacity (FVC). We defined GHF as the >90th percentile of age & sex adjusted estimated glomerular filtration rate (eGFR), and RSP was defined as an FVC <80%-predicted value and an FEV1/FVC ratio ≥0.7.

Results: Participants with RSP showed higher blood pressure, fasting glucose, and triglyceride, reduced high density lipoprotein cholesterol, and central obesity, which resulted in a higher prevalence of metabolic syndrome (MetS) compared to those without RSP. Multivariate logistic regression revealed that the odds for RSP were significantly increased with an increased number of MetS components. In addition, increased eGFR was associated with decreased FVC, showing an inverted J-shaped relationship in a multivariate generalized additive model analysis. In the multivariate logistic regression analysis, the adjusted odds ratio and 95% confidence interval of GHF for RSP was 1.184 (1.026-1.368, P = 0.021), which was evident in groups without metabolic disorders.

Conclusions: We concluded that GHF was associated with increased odds for RSP, particularly in groups without metabolic disorders. Further prospective studies are needed to confirm our study results.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Creatinine / blood
  • Female
  • Glomerular Filtration Rate / physiology*
  • Humans
  • Independent Living / statistics & numerical data
  • Kidney Diseases / blood
  • Kidney Diseases / epidemiology
  • Kidney Diseases / physiopathology*
  • Kidney Glomerulus / physiopathology
  • Male
  • Metabolic Syndrome / diagnosis
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / physiopathology
  • Middle Aged
  • Nutrition Surveys / statistics & numerical data*
  • Prevalence
  • Republic of Korea / epidemiology
  • Risk Factors
  • Spirometry / statistics & numerical data*

Substances

  • Creatinine

Grants and funding

The author(s) received no specific funding for this work.