Observational Study
Copyright ©The Author(s) 2022.
World J Clin Cases. Dec 16, 2022; 10(35): 12909-12919
Published online Dec 16, 2022. doi: 10.12998/wjcc.v10.i35.12909
Figure 1
Figure 1 Study flowchart. CRP: C-reactive protein; CV: Coefficient of variation; NYHA: New York Heart Association; PCI: Percutaneous coronary intervention.
Figure 2
Figure 2 Restricted cubic spline analysis of lipoprotein (a) variability with relatively high inflammation status. Patients with a relatively high inflammation status were defined as those whose average follow-up C-reactive protein was more than the median level (1.52 mg/L). The spline curves were plotted and P for nonlinearity was calculated in each variability of lipoprotein (a) [lp (a)]. A: The risk of hyperinflammation gradually increased with increasing lp (a) SD and then flattened out; B and C: Initial shallow increases in lp (a) coefficient of variation and variability independent of the mean were followed by a rapid rate of increase. CI: Confidence interval; CRP: C-reactive protein; CV: Coefficient of variation; Lp (a): Lipoprotein (a); SD: Standard deviation; VIM: Variability independent of the mean.
Figure 3
Figure 3 Exploratory analysis in various subgroups. The associations between Lp (a) variability and average follow-up C-reactive protein level were evaluated in various populations. The population was subdivided according to the age, sex, presence of diabetes, presence of hypertension, and average follow-up Lp (a) level. Multivariable linear regression analysis was repeated in each subgroup with the same adjustment as Tables 2-4. A: Mean follow-up lp (a) SD levels; B: Mean follow-up lp (a) CV levels; C: Mean follow-up lp (a) VIM levels. CI: Confidence interval; CRP: C-reactive protein; CV: Coefficient of variation; Lp (a): Lipoprotein (a); SD: Standard deviation; VIM: Variability independent of the mean.