Nomogram for predicting postoperative clinical remission of hypertension in patients with adrenal tumors.

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
YuanJian Liao, MingShun Zuo, YongPan Zhu, Te Xu, JiaJia Tang, LongMei Fan, Neng Zhang
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引用次数: 0

Abstract

Objective: Hypertension caused by adrenal tumors is a frequent cause of secondary hypertension. Treating primary adrenal disease can significantly improve or cure hypertension. However, hypertension may persist in some patients after surgery, leading to controversy over the choice of surgery or conservative treatment. The aim of this study is to construct and validate a model for predicting postoperative clinical remission of hypertension in patients with adrenal tumors to help surgeons make better surgical decisions.

Patients and methods: A retrospective analysis was conducted on data pertaining to 336 patients diagnosed with adrenal tumors and hypertension between January 1, 2012 and December 31, 2022. Potential predictor variables were utilized to develop a nomogram, which were internally validated using a bootstrap resampling method. Clinical data from 141 patients from January 1, 2023 to December 31, 2023 were analyzed for external validation using the same criteria.

Results: In patients with non-functioning adrenal tumors, lower age, body mass index, and hypertension grade were considered independent predictors of postoperative clinical remission of hypertension. In patients with functional adrenal tumors, absence of diabetes mellitus, lower systolic blood pressure, and duration of hypertension were considered independent predictors of postoperative clinical remission of hypertension. The area under the curve (AUC) for the nonfunctional adrenal tumor prediction model was 0.761, the AUC for internal validation using the bootstrap method (resampling = 1000) was 0.757, and the AUC for the external validation cohort was 0.837. The AUC for the functional adrenal tumor prediction model was 0.848, the AUC for internal validation using the bootstrap method (resampling = 1000) was 0.836, and the AUC for the external validation cohort was 0.836. The calibration curves demonstrated a satisfactory fit between the model and clinical utility, as evidenced by the decision curve analysis.

Conclusion: Nomograms have been demonstrated to perform well in predicting postoperative clinical remission of hypertension in patients with adrenal tumors. This may assist clinicians in distinguishing between patients with adrenal tumors who are likely to achieve clinical remission of hypertension after surgery at an early stage.

目的:肾上腺肿瘤引起的高血压是继发性高血压的常见病因。治疗原发性肾上腺疾病可显著改善或治愈高血压。然而,一些患者在手术后可能会持续出现高血压,这导致了选择手术还是保守治疗的争议。本研究旨在构建并验证一个预测肾上腺肿瘤患者术后高血压临床缓解的模型,以帮助外科医生做出更好的手术决策:对2012年1月1日至2022年12月31日期间确诊为肾上腺肿瘤和高血压的336名患者的相关数据进行了回顾性分析。利用潜在的预测变量制定了一个提名图,并采用引导重采样法对提名图进行了内部验证。采用相同的标准分析了141名患者在2023年1月1日至2023年12月31日期间的临床数据,以进行外部验证:在非功能性肾上腺肿瘤患者中,较低的年龄、体重指数和高血压等级被认为是术后高血压临床缓解的独立预测因素。在功能性肾上腺肿瘤患者中,无糖尿病、较低的收缩压和高血压持续时间被认为是术后高血压临床缓解的独立预测因素。非功能性肾上腺肿瘤预测模型的曲线下面积(AUC)为0.761,使用引导法(重采样=1000)进行内部验证的AUC为0.757,外部验证队列的AUC为0.837。功能性肾上腺肿瘤预测模型的AUC为0.848,使用自举法(重采样=1000)进行内部验证的AUC为0.836,外部验证队列的AUC为0.836。校准曲线显示了模型与临床效用之间令人满意的拟合,决策曲线分析也证明了这一点:结论:研究表明,提名图在预测肾上腺肿瘤患者术后高血压临床缓解方面表现良好。结论:提名图在预测肾上腺肿瘤患者术后高血压临床缓解方面表现良好,这可能有助于临床医生早期区分肾上腺肿瘤患者术后高血压临床缓解的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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