鱼类摄入频率对血液透析患者心血管疾病生存期的影响

IF 1.5 Q2 MEDICINE, GENERAL & INTERNAL JMA journal Pub Date : 2024-01-15 Epub Date: 2023-12-11 DOI:10.31662/jmaj.2023-0135
Tadasuke Ando, Tomochika Murakami, Sakura Fujiyama, Shin-Ya Sejiyama, Kan Murakami, Daisuke Miki, Yoshitsugu Fujita, Naomichi Yamaguchi, Ryoichi Shirakami, Satoki Abe, Masahiro Todaka, Shuntaro Suzuki, Hiroyuki Fujinami, Mayuka Shinohara, Shinro Hata, Toru Inoue, Tadamasa Shibuya, Toshitaka Shin, Hiromitsu Mimata
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引用次数: 0

摘要

导言:心血管疾病(CVD)是血液透析患者(HPs)的主要死因。作为一种食物来源,鱼既含有预防心血管疾病的脂肪酸,也含有促进心血管疾病的脂肪酸。这项单中心纵向队列研究旨在评估每周鱼类摄入频率(FIF)对日本高血压患者心血管疾病的影响:研究开始后,对 148 名高血压患者进行了评估,以确定 FIF,并对血液样本进行了分析。采用 Kaplan-Meier 生存曲线统计计算了每种 FIF 与血液采样数据、心血管疾病特异性存活率(CSS)和无心血管疾病新存活率(nCFS)之间的关系:在观察期间,共报告了 65 例死亡病例,其中 16 例死于心血管疾病。此外,53 名患者出现了心血管疾病新发病例,而 FIF 与血液采样数据之间未发现任何关联。根据 Kaplan-Meier 生存曲线,FIF ≥4(0.719,95% 置信区间 (CI):0.530-0.842)和 FIF ≤3(0.930,95% 置信区间 (CI):0.851-0.968)的患者在 72 个月时的 CSS 概率有显著差异(P < 0.01)。然而,FIF≥4的患者与FIF≤3的患者在72个月时的nCFS概率并无明显差异。多变量考克斯比例危险回归显示,FIF≥4(危险比:3.64,95% CI:1.22-10.9,p = 0.02)是CSS的独立预测因子,但不是nCFS的独立预测因子:结论:HPs中较高的FIF可能是心血管疾病的风险之一,会增加死亡率。
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Impact of Fish Intake Frequency on Cardiovascular Disease-Specific Survival in Hemodialysis Patients.

Introduction: Cardiovascular disease (CVD) is the leading cause of death in hemodialysis patients (HPs). As a food source, fish contains both CVD-preventive and CVD-promoting fatty acids; however, there is no consensus on fish consumption as a preventive measure for CVD in HPs. This single-center longitudinal cohort study aims to assess the impact of fish intake frequency (FIF) per week on CVD in Japanese HPs.

Methods: Upon the initiation of the study, 148 HPs were evaluated to determine the FIF, and blood samples were analyzed. These patients were then monitored for 6 years.The relationships between each FIF and blood sampling data, CVD-specific survival (CSS), and new CVD-free survival (nCFS) were statistically calculated using Kaplan-Meier survival curves.

Results: During the observation period, 65 deaths were reported, 16 of which were attributed to CVD. Further, 53 patients developed new CVD onset, and no association was found between the FIF and blood sampling data. Based on the Kaplan-Meier survival curves, there was a significant difference in the CSS probability rates at 72 months between patients with an FIF of ≥4 (0.719, 95% confidence interval (CI): 0.530-0.842) and those with an FIF of ≤3 (0.930, 95% CI: 0.851-0.968) (p < 0.01). However, the nCFS probability at 72 months did not significantly differ between patients with an FIF of ≥4 and those with an FIF of ≤3. Multivariate Cox proportional hazards regression showed that an FIF of ≥4 (hazard ratio: 3.64, 95% CI: 1.22-10.9, p = 0.02) was an independent predictor of CSS, but not of nCFS.

Conclusions: It was suggested that a higher FIF in HPs might be one of the risks for developing CVD with increased mortality.

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