PDF(Pubmed)
Abstract：
BACKGROUND: We aimed to investigate the association between kidney stones and polycystic ovarian syndrome (PCOS).
METHODS: In a cross-sectional study, data from the Tehran Lipid and Glucose Study (TLGS) were used to investigate the risk of kidney stones in women with Polycystic Ovary Syndrome (PCOS). Four distinct phenotypes of PCOS, as defined by the Rotterdam criteria, were examined in a sample of 520 women and compared to a control group of 1638 eumenorrheic non-hirsute healthy women. Univariate and multivariable logistic regression models were employed for analysis. The four PCOS phenotypes were classified as follows: Phenotype A, characterized by the presence of all three PCOS features (anovulation (OA), hyperandrogenism (HA), and polycystic ovarian morphology on ultrasound (PCOM)); Phenotype B, characterized by the presence of anovulation and hyperandrogenism; Phenotype C, characterized by the presence of hyperandrogenism and polycystic ovarian morphology on ultrasound; and Phenotype D, characterized by the presence of anovulation and polycystic ovarian morphology on ultrasound.
RESULTS: The prevalence of a history of kidney stones was found to be significantly higher in women with Polycystic Ovary Syndrome (PCOS) compared to healthy controls (12.5% vs. 7.7%, p = 0.001). This increased prevalence was observed across all PCOS phenotypes (p < 0.001). After adjusting for potential risk factors, including age, family history of kidney stones, waist-to-height ratio, total cholesterol, and low-density lipoprotein, the odds ratio for kidney stones in women with PCOS was found to be 1.59 [95% CI: 1.12-2.25, p = 0.01], indicating a 59% increase in risk compared to healthy women. Women with PCOS Phenotype A [OR: 1.97, 95% CI: 1.09-3.55, p = 0.02] and Phenotype D [OR: 3.03, 95% CI: 1.24-7.41, p = 0.01] were found to be at a higher risk for kidney stones.
CONCLUSIONS: Women with Polycystic Ovary Syndrome (PCOS), particularly those exhibiting menstrual irregularities and polycystic ovarian morphology on ultrasound (PCOM), have been found to be two to three times more likely to develop kidney stones. This increased prevalence should be taken into consideration when providing preventive care and counseling to these individuals.
METHODS: In a cross-sectional study, data from the Tehran Lipid and Glucose Study (TLGS) were used to investigate the risk of kidney stones in women with Polycystic Ovary Syndrome (PCOS). Four distinct phenotypes of PCOS, as defined by the Rotterdam criteria, were examined in a sample of 520 women and compared to a control group of 1638 eumenorrheic non-hirsute healthy women. Univariate and multivariable logistic regression models were employed for analysis. The four PCOS phenotypes were classified as follows: Phenotype A, characterized by the presence of all three PCOS features (anovulation (OA), hyperandrogenism (HA), and polycystic ovarian morphology on ultrasound (PCOM)); Phenotype B, characterized by the presence of anovulation and hyperandrogenism; Phenotype C, characterized by the presence of hyperandrogenism and polycystic ovarian morphology on ultrasound; and Phenotype D, characterized by the presence of anovulation and polycystic ovarian morphology on ultrasound.
RESULTS: The prevalence of a history of kidney stones was found to be significantly higher in women with Polycystic Ovary Syndrome (PCOS) compared to healthy controls (12.5% vs. 7.7%, p = 0.001). This increased prevalence was observed across all PCOS phenotypes (p < 0.001). After adjusting for potential risk factors, including age, family history of kidney stones, waist-to-height ratio, total cholesterol, and low-density lipoprotein, the odds ratio for kidney stones in women with PCOS was found to be 1.59 [95% CI: 1.12-2.25, p = 0.01], indicating a 59% increase in risk compared to healthy women. Women with PCOS Phenotype A [OR: 1.97, 95% CI: 1.09-3.55, p = 0.02] and Phenotype D [OR: 3.03, 95% CI: 1.24-7.41, p = 0.01] were found to be at a higher risk for kidney stones.
CONCLUSIONS: Women with Polycystic Ovary Syndrome (PCOS), particularly those exhibiting menstrual irregularities and polycystic ovarian morphology on ultrasound (PCOM), have been found to be two to three times more likely to develop kidney stones. This increased prevalence should be taken into consideration when providing preventive care and counseling to these individuals.
摘要：
背景：我们旨在研究肾结石与多囊卵巢综合征（PCOS）之间的关系。
方法：在一项横断面研究中，德黑兰脂质和葡萄糖研究(TLGS)的数据用于调查多囊卵巢综合征(PCOS)女性肾结石的风险.PCOS的四种不同表型，根据鹿特丹标准的定义，在520名妇女的样本中进行了检查，并与1638名非多毛健康妇女的对照组进行了比较。采用单变量和多变量逻辑回归模型进行分析。4种PCOS表型分类如下：表型A，其特征在于存在所有三个PCOS特征(无排卵(OA)，高雄激素血症（HA），和多囊卵巢超声形态学（PCOM）；表型B，以无排卵和高雄激素血症为特征；表型C，超声表现为高雄激素血症和多囊卵巢形态的存在；和表型D，超声表现为卵巢无排卵和多囊形态。
结果：发现多囊卵巢综合征（PCOS）女性的肾结石病史患病率明显高于健康对照组（12.5％vs.7.7%,p=0.001)。在所有PCOS表型中观察到这种增加的患病率(p<0.001)。在对潜在风险因素进行调整后，包括年龄,有肾结石家族史,腰围与身高比,总胆固醇,和低密度脂蛋白,发现PCOS女性肾结石的比值比为1.59[95％CI：1.12-2.25，p=0.01]，表明与健康女性相比，风险增加了59%。发现PCOS表型A[OR：1.97，95％CI：1.09-3.55，p=0.02]和表型D[OR：3.03，95％CI：1.24-7.41，p=0.01]的女性肾结石风险较高。
结论：多囊卵巢综合征（PCOS）女性，特别是那些在超声（PCOM）上表现出月经不调和多囊卵巢形态的患者，被发现患肾结石的可能性要高出两到三倍。在为这些人提供预防性护理和咨询时，应考虑到这种患病率的增加。
方法：在一项横断面研究中，德黑兰脂质和葡萄糖研究(TLGS)的数据用于调查多囊卵巢综合征(PCOS)女性肾结石的风险.PCOS的四种不同表型，根据鹿特丹标准的定义，在520名妇女的样本中进行了检查，并与1638名非多毛健康妇女的对照组进行了比较。采用单变量和多变量逻辑回归模型进行分析。4种PCOS表型分类如下：表型A，其特征在于存在所有三个PCOS特征(无排卵(OA)，高雄激素血症（HA），和多囊卵巢超声形态学（PCOM）；表型B，以无排卵和高雄激素血症为特征；表型C，超声表现为高雄激素血症和多囊卵巢形态的存在；和表型D，超声表现为卵巢无排卵和多囊形态。
结果：发现多囊卵巢综合征（PCOS）女性的肾结石病史患病率明显高于健康对照组（12.5％vs.7.7%,p=0.001)。在所有PCOS表型中观察到这种增加的患病率(p<0.001)。在对潜在风险因素进行调整后，包括年龄,有肾结石家族史,腰围与身高比,总胆固醇,和低密度脂蛋白,发现PCOS女性肾结石的比值比为1.59[95％CI：1.12-2.25，p=0.01]，表明与健康女性相比，风险增加了59%。发现PCOS表型A[OR：1.97，95％CI：1.09-3.55，p=0.02]和表型D[OR：3.03，95％CI：1.24-7.41，p=0.01]的女性肾结石风险较高。
结论：多囊卵巢综合征（PCOS）女性，特别是那些在超声（PCOM）上表现出月经不调和多囊卵巢形态的患者，被发现患肾结石的可能性要高出两到三倍。在为这些人提供预防性护理和咨询时，应考虑到这种患病率的增加。
