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Areca Nut Chewing and an Impaired Estimated Glomerular Filtration Rate as Significant Risk Factors for Non-Muscle-Invasive Bladder Cancer Recurrence

机译:槟榔咀嚼和肾小球滤过率降低是非肌肉浸润性膀胱癌复发的重要危险因素

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摘要

The present study sought to investigate the predictive value of preoperative clinicopathological variables, with a special focus on areca nut chewing, on disease recurrence and progression in patients with non-muscle-invasive bladder cancer (NMIBC). Data from 242 patients diagnosed with NMIBC between 2008 and 2013 were analyzed retrospectively. Fifteen clinicopathological variables were analyzed to evaluate their prognostic value. During a mean observation period of 21 months, disease recurrence occurred in 140 patients (57.9%). On multivariate analysis, heavy-areca nut chewing (HR = 2.18, 95% CI: 1.37–3.47), current smoking (HR = 3.09, 95% CI: 1.99–4.80), moderately impaired estimated glomerular filtration rate (eGFR) (HR = 1.76, 95% CI: 1.09–2.83), severely impaired eGFR (HR = 3.32, 95% CI: 1.70–6.48) and tumor grade (HR = 1.94, 95% CI: 1.36–2.77) were independent factors for recurrence, based on which a risk factor model was developed to stratify patients into high, medium and low risk groups. In conclusion, our study suggests that in addition to quitting smoking, quitting areca nut chewing may also reduce the risk of first recurrence in NMBIC patients, monitoring and preserving their renal function may be beneficial as well. Further prospective studies are needed to verify the prognostic significance of these factors and the risk stratification model in this population.
机译:本研究试图调查术前临床病理变量的预测价值,特别是槟榔的咀嚼,非肌肉浸润性膀胱癌(NMIBC)患者的疾病复发和进展。回顾性分析了2008年至2013年间242例诊断为NMIBC的患者的数据。分析了15个临床病理变量以评估其预后价值。在平均21个月的观察期内,有140例患者(57.9%)发生了疾病复发。在多变量分析中,大面积槟榔咀嚼(HR = 2.18,95%CI:1.37–3.47),当前吸烟(HR = 3.09,95%CI:1.99–4.80),中度肾小球滤过率估计值(eGFR)受损(HR 1.76,95%CI:1.09–2.83),eGFR严重受损(HR = 3.32,95%CI:1.70–6.48)和肿瘤分级(HR = 1.94,95%CI:1.36-2.77)是复发的独立因素,在此基础上,开发了一个风险因素模型以将患者分为高,中和低风险组。总而言之,我们的研究表明,除了吸烟以外,槟榔的咀嚼还可以减少NMBIC患者首次复发的风险,监测和保护其肾功能也可能是有益的。需要进一步的前瞻性研究,以验证这些因素和该人群的风险分层模型的预后意义。

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