PURPOSE: To assess the association between dyslipidemia and urolithiasis, a propensity score-matching study was performed. PATIENTS AND METHODS: Fasting blood samples were taken, and serum lipid profiles were measured in 655 stone formers (SF) and 1965 propensity score-matched controls between 2005 and 2011. The controls, from a health-screening program, did not have a history of dyslipidemia or statin use and have any evidence of stone disease, as determined by abdominal radiography, ultrasonography examination. Propensity score-matching with respect to age, sex, and body mass index was used to minimize selection bias, and the logistic regression analysis was adjusted for other components of metabolic syndrome. RESULTS: Compared with controls, the SF group had significantly higher mean triglyceride and lower total cholesterol, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels (each P<0.001). The SF group was also more likely to have hypertriglyceridemia and low HDL-cholesterolemia, and less likely to have hypercholesterolemia and high LDL cholesterolemia compared with controls (each P<0.05). When adjusted for other components of metabolic syndrome including obesity, presence of diabetes mellitus or hypertension, the odds ratio (OR) for urinary stones appeared with hypercholesterolemia (OR=0.747, P=0.003), hypertriglyceridemia (OR=1.901, P<0.001), low HDL cholesterolemia (OR=1.886, P<0.001) and high LDL cholesterolemia (OR=0.610, P<0.001). CONCLUSIONS: Our study implies that dyslipidemia may play a crucial part in urinary stone risk.
PURPOSE: To assess the association between dyslipidemia and urolithiasis, a propensity score-matching study was performed. PATIENTS AND METHODS: Fasting blood samples were taken, and serum lipid profiles were measured in 655 stone formers (SF) and 1965 propensity score-matched controls between 2005 and 2011. The controls, from a health-screening program, did not have a history of dyslipidemia or statin use and have any evidence of stone disease, as determined by abdominal radiography, ultrasonography examination. Propensity score-matching with respect to age, sex, and body mass index was used to minimize selection bias, and the logistic regression analysis was adjusted for other components of metabolic syndrome. RESULTS: Compared with controls, the SF group had significantly higher mean triglyceride and lower total cholesterol, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels (each P<0.001). The SF group was also more likely to have hypertriglyceridemia and low HDL-cholesterolemia, and less likely to have hypercholesterolemia and high LDL cholesterolemia compared with controls (each P<0.05). When adjusted for other components of metabolic syndrome including obesity, presence of diabetes mellitus or hypertension, the odds ratio (OR) for urinary stones appeared with hypercholesterolemia (OR=0.747, P=0.003), hypertriglyceridemia (OR=1.901, P<0.001), low HDL cholesterolemia (OR=1.886, P<0.001) and high LDL cholesterolemia (OR=0.610, P<0.001). CONCLUSIONS: Our study implies that dyslipidemia may play a crucial part in urinary stone risk.
Authors: James H Masterson; Jason R Woo; David C Chang; Thomas Chi; James O L'Esperance; Marshall L Stoller; Roger L Sur Journal: Urolithiasis Date: 2014-09-06 Impact factor: 3.436
Authors: Mathieu V Paulin; Marilyn Dunn; Catherine Vachon; Guy Beauchamp; Bérénice Conversy Journal: J Vet Intern Med Date: 2021-12-02 Impact factor: 3.333