作为膀胱癌预后指标的收入、医疗保险和就业状况之间的关系:生存分析。

IF 1.4 Q3 UROLOGY & NEPHROLOGY Archivio Italiano di Urologia e Andrologia Pub Date : 2024-03-07 DOI:10.4081/aiua.2024.12305
Wahjoe Djatisoesanto, Yufi Aulia Azmi, Ida Bagus Gde Tirta Yoga Yatindra
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引用次数: 0

摘要

背景:膀胱癌(BC)是健康问题之一。社会经济地位(SES)可能与患者的治疗相关,并可能影响患者的预后。本研究旨在确定作为膀胱癌预后指标的收入、医疗保险和就业状况之间的关系:方法:对2019年1月至2023年12月的5年间在一家医院确诊为BC的患者进行回顾性观察研究。采用 Kaplan-Meier 检验分析生成按收入、就业状况和医疗保险分层的总生存曲线。多变量考克斯比例危险回归用于确定与总生存率降低相关的因素:对 219 名患者的分析结果显示,收入对患者的生存率没有影响(P > 0.05),而就业状况和医疗保险对患者的生存率有显著影响(P < 0.05)。此外,有99名(45.2%)患者死亡,患者平均年龄为58岁,男性患者居多:结论:预防患者出现不良预后需要注意某些特征,尤其是没有适当国家医疗保险的低收入患者。
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The relationship between income, health insurance, and employment status as prognostic indicators of bladder cancer: A survival analysis.

Background: Bladder cancer (BC) is one of the health problems. Socioeconomic status (SES) may correlate with patient treatment, possibly impacting patient prognosis. This study aimed to determine the relationship between income, health insurance, and employment status as prognostic indicators of BC.

Methods: A retrospective observational study for patients diagnosed with BC in a hospital during the 5-year period between January 2019 and December 2023. Kaplan-Meier test analysis was used to generate overall survival curves stratified by income, employment status, and health insurance. Multivariate Cox proportional-hazards regression was used to identify factors associated with worse overall survival.

Results: The results of the analysis on 219 patients showed no difference in patient survival based on income (p>0.05), while employment status and health insurance showed significant difference in patient survival (p<0.05). Moreover, there were 99 (45.2%) patients died, with the average patient being 58 years old and dominant in male patients.

Conclusions: Prevention of poor outcomes in patients needs to pay attention to certain characteristics, particularly for the loweconomic patients without appropriate national health insurance coverage.

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来源期刊
CiteScore
2.10
自引率
35.70%
发文量
72
审稿时长
10 weeks
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