A risk scoring system for the decreased glomerular filtration rate in Chinese general population

J Clin Lab Anal. 2020 Apr;34(4):e23143. doi: 10.1002/jcla.23143. Epub 2019 Dec 22.

Abstract

Objective: The aim of this study was to establish a risk scoring system for the decreased glomerular filtration rate (GFR) in Chinese general population.

Methods: Totally 781 participants who underwent a health checkup in The First Affiliated Hospital of Nanjing Medical University from January to September 2017 were involved in the study. Significant variables chosen by multivariable logistic regression analysis were allocated the integral scores in proportion to its odds ratio (OR), and then the risk of decreased GFR was assessed based on the scores.

Results: The people with abnormal homocysteine (Hcy) level (OR: 1.534, 95% confidential interval [CI]: 1.075-2.190, P = .018), males (OR: 2.054, 95%CI: 1.365-3.092, P < .001), and those at the age of 46-52 years (OR: 2.943, 95%CI: 1.546-5.605, P = .001), 52-59 years (OR: 3.664, 95%CI: 1.937-6.931, P < .001) and ≥59 years (OR: 13.452, 95%CI: 7.339-24.657, P < .001) were subjected to GFR reduction. These three variables were allocated the integral scores in proportion to its OR, and four risk categories were divided according to the scores. The prevalence of the decreased GFR in people with low (score 0-4, n = 8), below the average (score 4-6, n = 37), above the average (score 6-13, n = 47), and high risks (score ≥ 13, n = 103) was 5.26%, 16.89%, 22.93% and 50.24%, respectively, and this prevalence raised with the increase of scores (P < .001).

Conclusions: A risk scoring system is developed in this study, which may offer a specific risk stratification for GFR reduction in Chinese general population.

Keywords: Chinese population; chronic kidney disease; glomerular filtration rate; homocysteine; risk score.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Asian People*
  • Female
  • Glomerular Filtration Rate / physiology*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Biological
  • Multivariate Analysis
  • Prevalence
  • ROC Curve
  • Risk Factors