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腺性膀胱炎患者复发风险预测列线图的开发与验证

Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis.

作者信息

Hu Jiao, Li Chao, Guo Xi, Zhang Huihui, Li Huihuang, Qiu Dongxu, Gong Guanghui, Liu Peihua, Ren Wenbiao, Chen Jinbo, Zu Xiongbing

机构信息

Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.

Department of Urology, Hunan Provincial People's Hospital, Changsha 410005, China.

出版信息

Ann Transl Med. 2020 Mar;8(6):352. doi: 10.21037/atm.2020.02.102.

Abstract

BACKGROUND

Most patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence. Also, we try to investigate the correlation between CG and bladder cancer.

METHODS

Consecutive patients with pathologically confirmed CG were divided into training and validation sets. Clinicopathological characters were collected from electronic medical records. Uni- and multivariate logistic regression analyses were used to identify independent risk factors of CG recurrence in the training set. The predictive nomogram was developed by incorporating these independent factors and histological subtype. The performance of the nomogram was assessed and validated with respects to its calibration, discrimination, and clinical usefulness. The risk of developing subsequent bladder cancer was analyzed from the follow-up data.

RESULTS

Ultimately, 278 eligible patients were included and were allocated to a training set (n=190) and a validation set (n=88). Of them, 165 (59.35%) patients experienced CG recurrence, and none showed evidence of subsequent bladder carcinoma during a median (IQR) follow-up time of 27 months (14-57 months). Results of multivariate analysis showed that urinary infections, long-term indwelling catheter usage, urinary calculus, squamous metaplasia, and atypical hyperplasia were independent risk factors of CG recurrence. The C-index (95% CI) of the nomogram was 0.76 (0.69-0.83) in the training set and 0.72 (0.61-0.83) in the validation set. A decision curve analysis (DCA) demonstrated that this predictive nomogram was clinically useful.

CONCLUSIONS

We developed and validated a nomogram to predict the individualized risk of CG recurrence. Also, we demonstrated that neither intestinal nor typical CG increased the consequent risk of bladder cancer during the follow-up period.

摘要

背景

大多数腺性膀胱炎(CG)患者在初次治疗后会复发。因此,我们开展了这项多中心研究,以明确复发的危险因素,并构建了复发风险预测列线图。此外,我们试图研究CG与膀胱癌之间的相关性。

方法

将连续的经病理确诊的CG患者分为训练集和验证集。从电子病历中收集临床病理特征。在训练集中,采用单因素和多因素逻辑回归分析来确定CG复发的独立危险因素。通过纳入这些独立因素和组织学亚型来绘制预测列线图。从校准、区分度和临床实用性方面评估并验证列线图的性能。根据随访数据分析发生后续膀胱癌的风险。

结果

最终,纳入了278例符合条件的患者,并将其分配到训练集(n = 190)和验证集(n = 88)。其中,165例(59.35%)患者出现CG复发,在中位(IQR)随访时间27个月(14 - 57个月)期间,无患者出现后续膀胱癌的证据。多因素分析结果显示,泌尿系统感染、长期留置导尿管、尿路结石、鳞状化生和非典型增生是CG复发的独立危险因素。列线图在训练集中的C指数(95%CI)为0.76(0.69 - 0.83),在验证集中为0.72(0.61 - 0.83)。决策曲线分析(DCA)表明,该预测列线图具有临床实用性。

结论

我们开发并验证了一种列线图,以预测CG复发的个体化风险。此外,我们证明在随访期间,肠型和典型CG均未增加后续膀胱癌的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf0/7186700/03de541813fc/atm-08-06-352-f1.jpg

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