Figure 5
The analysis of the relationship between different factors and the four main types of urinary stones (CaOx, CaP, ST, UA). (A) The heat map displays the normalized Adj.R, with higher convergence to red indicating a stronger association. The red color highlights that women are more likely to develop ST and CaP stones, while men are more prone to CaOx stones. Additionally, patients with UTI have a higher tendency to develop ST stones, and those with HUA are more likely to have UA stones. (B–F) Mosaic plots were used to display the results of Chi-square tests or Fisher's exact tests, which were conducted to examine the differences between underlying diseases and urinary stone types, two categorical variables. Each color block represents a specific type of urinary stone, and the size of the block corresponds to the number of stones in that category. The specific test results are as follows: (B) DM vs NO-DM: χ2 = 2.8, p = 0.418; Cramer's V = 0.051, P > 0.05; (C) HTN vs NO-HTN: χ2 = 4.6, P = 0.202; Cramer's V = 0.065, P > 0.05; (D) UTI vs NO-UTI: χ2 = 161.7, p < 0.001; Cramer's V = 0.387, p < 0.001; (E) FH vs NO-FH: p = 0.037 < 0.05; Cramer's V = 0.092,p > 0.05; (F) HUA vs NO-HUA: p < 0.001; Cramer's V = 0.265, p < 0.001).
