美国肾移植受者社区社会经济地位与移植后癌症预后之间的关系

IF 3 Q1 UROLOGY & NEPHROLOGY
Kidney360 Pub Date : 2025-10-01 DOI:10.34067/KID.0000000979
Yue-Harn Ng, Shyfuddin Ahmed, Nathan Pan, Jun Tao, Bessie Young, Qianlai Luo, Ruth M Pfeiffer, Christopher Blosser, Eric A Engels
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引用次数: 0

摘要

背景:癌症是肾移植受者(KTRs)死亡的主要原因,并可能不成比例地影响弱势个体。我们评估了美国ktr患者的社区社会经济地位与癌症结局之间的关系。方法:我们通过美国移植和癌症登记处(2000-2019)之间的联系评估首次ktr。Yost指数综合了社区收入、教育水平、住房和就业等指标,分为五分位数,最低的五分位数(Q1)对应最弱势的社区。我们使用泊松回归比较Yost五分位数与总体癌症发病率以及与七种常见癌症类型(结直肠癌、肺癌、女性乳腺癌、前列腺癌、肾癌、黑色素瘤和非霍奇金淋巴瘤)的关系,并比较Yost指数与诊断时的癌症分期。采用Cox回归评估癌症特异性死亡率。结果:我们纳入了168028例ktr。总体癌症发病率为每1000人年12.3例(n= 11146例),约10个五分位数之间无总体差异(p趋势=0.893)。然而,来自最贫困社区的ktr患者肺癌发病率较高(调整发病率比[IRR] 1.44, 95%可信区间[95% ci] 1.19-1.73, Q1比Q5; p趋势=0.001),前列腺癌发病率较低(IRR 0.76, 95% ci 0.63-0.92, Q1比Q5; p趋势=0.022)。在较贫困地区被诊断为黑色素瘤的ktr患者更有可能出现区域性或远期癌症(p趋势=0.022)。在癌症诊断后,低Yost五分位数的ktr中癌症特异性死亡率更高(调整后的风险比为1.18,Q1对Q5的95%CI为1.05-1.32;p趋势=0.004),尽管个别癌症类型的趋势并不显著。结论:来自弱势社区的ktr患肺癌的风险增加,患前列腺癌的风险降低,并且更有可能出现晚期黑色素瘤。在被诊断出癌症后,来自弱势社区的ktr也更有可能死于癌症。这些结果指出了ktr在癌症筛查和治疗中的重要差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Association between Neighborhood Socioeconomic Status and Posttransplant Cancer Outcomes among Kidney Transplant Recipients in the United States.

Background: Cancer is a leading cause of death among kidney transplant recipients (KTRs) and may disproportionately affect disadvantaged individuals. We assessed the association between neighborhood socioeconomic status and cancer outcomes among KTRs in the US.

Methods: We evaluated first-time KTRs through a linkage between US transplant and cancer registries (2000-2019). The Yost index, which incorporates neighborhood measurements of income, educational level, housing, and employment, was categorized into quintiles, with the lowest quintile (Q1) corresponding to the most disadvantaged neighborhood. We used Poisson regression to compare the association of Yost quintiles with cancer incidence overall and with seven common cancer types (colorectum, lung, female breast, prostate, kidney, melanoma, and non-Hodgkin lymphoma) as well as to compare the Yost index with cancer stage at diagnosis. Cox regression was used to evaluate cancer-specific mortality.

Results: We included 168,028 KTRs. Overall cancer incidence was 12.3 per 1,000 person-years (n=11,146 cases) with no overall difference across Yost quintiles (p-trend=0.893). However, KTRs from the most disadvantaged neighborhoods had higher lung cancer incidence (adjusted incidence rate ratio [IRR] 1.44, 95% confidence interval [95%CI] 1.19-1.73, Q1 vs. Q5; p-trend=0.001) and lower prostate cancer incidence (IRR 0.76, 95%CI 0.63-0.92, Q1 vs. Q5; p-trend=0.022). KTRs in more disadvantaged areas who were diagnosed with melanoma were more likely to present with regional or distant stage cancer (p-trend=0.022). After a cancer diagnosis, cancer-specific mortality was higher among KTRs in lower Yost quintiles (adjusted hazard ratio 1.18, 95%CI 1.05-1.32 for Q1 vs. Q5; p-trend=0.004), although trends were not significant for individual cancer types.

Conclusions: KTRs from disadvantaged neighborhoods have increased lung cancer risk and reduced prostate cancer risk, and are more likely to present with advanced-stage melanoma. After a cancer diagnosis, KTRs from disadvantaged neighborhoods are also more likely to die from their cancer. These results point to important disparities among KTRs in cancer screening and treatment.

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Kidney360
Kidney360 UROLOGY & NEPHROLOGY-
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