中国全科医学2024，Vol.27Issue(12)：1480-1486,7.DOI:10.12114/j.issn.1007-9572.2023.0436
基于肾小球滤过率的肾上腺醛固酮瘤列线图预测模型的建立与验证研究
Construction and Verification the Nomogram Prediction Model for Primary Aldosteronism Based on Glomerular Filtration Rate
摘要
Abstract
Background Aldosterone-producing adenoma(APA)is a common type of primary aldosteronism.For those with unilateral adrenocortical adenoma,although expert consensus recommends plasma aldosterone-to-renin ratio(ARR)as a screening indicator for APA,the range of ARR cut-off values varies widely due to the lack of unified detection method and diagnostic process.Therefore,there is a clinical need for a reliable and rapid predictive model to assist in identifying APA.Objective To explore the correlation between glomerular filtration rate(GFR)and APA,construct and validate the nomogram prediction model of APA.Methods A total of 493 patients with with pathologic results of unilateral adrenal mass who underwent surgical treatment after evaluation of adrenal endocrine hormones in the first affiliated hospital of Shihezi University from 2012 to 2022 were collected,155 patients were ultimately included in the APA group and 113 patients in nonfunctioning adrenal adenoma combined with essential hypertension group according to the diagnostic criteria of APA and nonfunctioning adrenal adenoma.The patients'clinical data and biochemical data were collected.The patients were grouped according to GFR quartiles,and the correlation between GFR and APA was analyzed.The risk factors for APA were screened by multivariate Logistic regression analysis and a nomogram prediction model was constructed.Receiver operating characteristic(ROC)curve was used to analyze the discrimination of the prediction model,a consistency index(C-index)was used to evaluate the predictive accuracy of the model,Hosmer Lemeshow test was used to verify the fit of model,and the diagnostic efficacy of the model was evaluated using decision curve and clinical benefit curve.Results The patients were grouped according to GFR quartiles(Q1 to Q4 groups),Q1 group:≥107.4 mL·min-1·(1.73 m2)-1(n=67),Q2 group:99.7-107.3 mL·min-1·(1.73 m2)-1(n=67),Q3 group:88.6-99.6 mL·min-1·(1.73 m2)-1(n=67)and Q4 group:≤88.5 mL·min-1·(1.73 m2)-1(n=67),and the proportion of APA in each group was 47.8％(32/67),53.7％(36/67),58.2％(39/67)and 71.6％(48/67).Logistic regression trend test suggested that the risk of APA tended to increase as GFR levels decreased(P<0.05).Multivariate Logistic regression analysis showed that systolic blood pressure>160 mmHg(OR=5.209,95％CI=2.531-10.720),hypertension duration≥59 months(OR=4.326,95％CI=1.950-9.595),blood potassium<3.25mmol/L(OR=4.714,95％CI=2.046-10.860),GFR[Q4 gourp:≤88.5 mL·min-1·(1.73 m2)-1](OR=4.106,95％CI=1.492-11.300),basal aldosterone>13.42 ng/dL(OR=8.756,95％CI=4.320-17.749)were independent risk factors for the occurrence of APA(P<0.050).The Nomogram prediction model was constructed based on the above variables of multivariate regression with an AUC of 0.898(95％CI=0.859-0.936)and a C-index of 0.898,indicating a good prediction accuracy.The Hosmer-Lemeshow test showed that the model had a good fit(χ2=14.059,P=0.080).The model had a significant predictive efficacy at prediction probability thresholds of 0.10 to 0.90.Conclusion The risk of APA prevalence tends to increase with decreasing GFR levels.The APA prediction model constructed based on five factors,including systolic blood pressure,hypertension course,blood potassium,GFR quartile grouping and basal aldosterone,has good predictability,consistency and clinical practicality,which can help identify APA and contribute to clinical decision making.关键词
原发性醛固酮增多症/醛固酮瘤/肾小球滤过率/列线图/预测模型Key words
Primary hyperaldosteronism/Aldosterone-producing adenoma/Glomerular filtration rate/Nomogram/Predictive model分类
医药卫生引用本文复制引用
常钰朋,耿茜茜,火睿,孙侃,常向云,李军,朱凌云,董玉洁,罗丽娜..基于肾小球滤过率的肾上腺醛固酮瘤列线图预测模型的建立与验证研究[J].中国全科医学,2024,27(12):1480-1486,7.基金项目
兵团指导性科技计划项目(2022ZD038) （2022ZD038）
石河子大学高层次人才科研启动项目(RCZX201536) （RCZX201536）
石河子大学科技计划项目(ZZZC201820A) （ZZZC201820A）
八师石河子市社会发展科技攻关与成果转化项目(2018YL03) （2018YL03）
