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血清肌酐作为子宫内膜异位症的危险因素:横断面研究、孟德尔随机化分析和诊断模型研究的见解

Serum creatinine as a risk factor for endometriosis: insights from cross-sectional study, mendelian randomization analysis, and diagnostic model study.

作者信息

Duan Yanan, Peng Yiqing, Chen Aiping

机构信息

Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.

Department of Obstetrics and Gynecology, The Affiliated Hospital of Jining Medical University, Jining, 270000, Shandong Province, China.

出版信息

BMC Womens Health. 2025 Jun 4;25(1):277. doi: 10.1186/s12905-025-03808-x.

Abstract

BACKGROUND

Endometriosis (EM) is a prevalent gynecological condition impacting roughly 10% of women of reproductive age worldwide, causing chronic pain, infertility, and menstrual irregularities. Traditional diagnosis typically relies on invasive surgical methods, and non-invasive diagnostic techniques remain underdeveloped. This study seeks to investigate the association between creatinine levels and endometriosis through cross-sectional analysis and mendelian randomization (MR) analysis, while also developing and assessing diagnostic models.

METHOD

This research integrates data from the NHANES database (1999-2006) and the affiliated hospital of Jining Medical College in China. The study cohort consists of women aged 20-60, with data collection covering age, race, education level, marital status, family income, weight, height, body mass index(BMI), and serum creatinine levels. Logistic regression models were used for univariate and multivariate analyses. Bidirectional MR analysis, utilizing genetic variation data from Large Genome Association Studies (GWAS), was performed to evaluate causal relationships using the inverse variance weighted (IVW) method, complemented by sensitivity analysis. A diagnostic model based on data from top-tier hospitals in China was constructed and its performance assessed through receiver operating characteristic(ROC) curves, area under the curve(AUC) values, and calibration curves.

RESULT

In the NHANES dataset, univariate analysis indicated a significant correlation between creatinine levels and endometriosis (OR = 1.01, 95% CI: 1.00-1.01, P = 0.0048), while multivariate analysis maintained significant results after adjustment (OR = 1.00, 95% CI: 1.00-1.01, P = 0.0431). Bidirectional MR analysis demonstrated a causal relationship between creatinine levels and endometriosis, with a positive IVW result of 1.001 (95% CI: 1.00-1.002, P = 0.0350). In the chinese tertiary hospital dataset, the AUC for the diagnostic model on both training and validation sets were 0.721 and 0.730, respectively. An increase of 10 μmol/L in creatinine levels raised the risk of endometriosis by approximately 8% (OR = 1.08, 95% CI: 1.07-1.09, P < 0.001).

CONCLUSION

This study establishes a significant link between creatinine levels and endometriosis, confirming creatinine as an independent risk factor. Elevated creatinine levels could be used as non-invasive biomarkers for the early detection and diagnosis of endometriosis. Future research should aim to validate these findings in larger, multicenter studies and delve into the specific biological mechanisms, paving the way for novel therapeutic strategies.

摘要

背景

子宫内膜异位症(EM)是一种常见的妇科疾病,影响着全球约10%的育龄妇女,会导致慢性疼痛、不孕和月经不调。传统诊断通常依赖侵入性手术方法,非侵入性诊断技术仍不发达。本研究旨在通过横断面分析和孟德尔随机化(MR)分析,研究肌酐水平与子宫内膜异位症之间的关联,同时开发和评估诊断模型。

方法

本研究整合了美国国家健康与营养检查调查(NHANES)数据库(1999 - 2006年)和中国济宁医学院附属医院的数据。研究队列包括20 - 60岁的女性,数据收集涵盖年龄、种族、教育水平、婚姻状况、家庭收入、体重、身高、体重指数(BMI)和血清肌酐水平。使用逻辑回归模型进行单变量和多变量分析。利用来自大型基因组关联研究(GWAS)的基因变异数据进行双向MR分析,采用逆方差加权(IVW)方法评估因果关系,并进行敏感性分析。基于中国顶级医院的数据构建诊断模型,并通过受试者工作特征(ROC)曲线、曲线下面积(AUC)值和校准曲线评估其性能。

结果

在NHANES数据集中,单变量分析表明肌酐水平与子宫内膜异位症之间存在显著相关性(OR = 1.01,95%CI:1.00 - 1.01,P = 0.0048),而多变量分析在调整后仍保持显著结果(OR = 1.00,95%CI:1.00 - 1.01,P = 0.0431)。双向MR分析表明肌酐水平与子宫内膜异位症之间存在因果关系,IVW阳性结果为1.001(95%CI:1.00 - 1.002,P = 0.0350)。在中国三级医院数据集中,诊断模型在训练集和验证集上的AUC分别为0.721和0.730。肌酐水平每升高10μmol/L,子宫内膜异位症的风险增加约8%(OR = 1.08,95%CI:1.07 - 1.09,P < 于癌症患者的心理健康。

结论

本研究建立了肌酐水平与子宫内膜异位症之间的显著联系,证实肌酐为独立危险因素。肌酐水平升高可作为子宫内膜异位症早期检测和诊断的非侵入性生物标志物。未来研究应致力于在更大规模的多中心研究中验证这些发现,并深入探究具体的生物学机制,为新的治疗策略铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38c/12135542/82a8a96c7441/12905_2025_3808_Fig1_HTML.jpg

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