• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

早期慢性肾脏病危险因素的长期预测模型:一项纵向研究

Long-term predictive models of risk factors for early chronic kidney disease: a longitudinal study.

作者信息

Wu Wen-Chih, Hsieh Po-Chien, Hu Fu-Kang, Kuan Jen-Chun, Chu Chi-Ming, Sun Chien-An, Yang Tsan, Su Sui-Lung, Chou Yu-Ching

机构信息

School of Public Health, National Defense Medical Center, Taipei, Taiwan.

Department of Surgery, Suao and Yuanshan branches of Taipei Veterans General Hospital, Yilan, Taiwan.

出版信息

Oncotarget. 2018 Apr 13;9(28):19745-19752. doi: 10.18632/oncotarget.24820.

DOI:10.18632/oncotarget.24820
PMID:29731979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5929422/
Abstract

BACKGROUND

The high incidence and prevalence of chronic kidney disease (CKD) in Taiwan have produced tremendous burdens on health care resources. The work environment of air force special operations personnel engenders high psychological stress, and the resulting increased blood pressure can lead to glomerular hypertension and accelerated glomerular injury in the long term. The aim of the study was to establish the predictive models to define the predictors of CKD.

RESULTS

The results indicated that the prevalence of CKD over 4 consecutive years was 3.8%, 9.4%, 9.0%, and 9.4%. The capability of using occult blood in urine to predict the risk of CKD after 1, 2, and 3 years was statistically significant. The age-adjusted odds ratio (OR) and 95% confidence interval (CI) were 7.94 (95% CI: 2.61-24.14), 12.35 (95% CI: 4.02-37.94) and 4.25 (95% CI: 1.32-13.70), respectively.

DISCUSSION

The predictive power of occult blood in urine for the risk of CKD in each model was statistically significant. Future investigations can explore the feasibility of implementing simple and accurate urine dipsticks for preliminary testing besides annual aircrew physical examinations to facilitate early detection and treatment.

METHODS

This study was a longitudinal study, in which air force special operations personnel who received physical examinations at military hospitals between 2004 and 2010 were selected. CKD was determined based on the definition provided by the US National Kidney Foundation. Overall, 212 participants that could be followed continuously for 4 years were analyzed.

摘要

背景

台湾慢性肾脏病(CKD)的高发病率和高患病率给医疗资源带来了巨大负担。空军特种作战人员的工作环境会产生高度心理压力,长期下来由此导致的血压升高会引发肾小球高压并加速肾小球损伤。本研究的目的是建立预测模型以确定CKD的预测因素。

结果

结果表明,连续4年的CKD患病率分别为3.8%、9.4%、9.0%和9.4%。利用尿潜血预测1年、2年和3年后CKD风险的能力具有统计学意义。年龄调整后的优势比(OR)及95%置信区间(CI)分别为7.94(95%CI:2.61 - 24.14)、12.35(95%CI:4.02 - 37.94)和4.25(95%CI:1.32 - 13.70)。

讨论

各模型中尿潜血对CKD风险的预测能力具有统计学意义。未来的研究可以探索除年度空勤人员体检外,实施简单准确的尿试纸条进行初步检测以促进早期发现和治疗的可行性。

方法

本研究为纵向研究,选取了2004年至2010年期间在军队医院接受体检的空军特种作战人员。CKD根据美国国家肾脏基金会提供的定义确定。总共分析了212名能够连续随访4年的参与者。

相似文献

1
Long-term predictive models of risk factors for early chronic kidney disease: a longitudinal study.早期慢性肾脏病危险因素的长期预测模型:一项纵向研究
Oncotarget. 2018 Apr 13;9(28):19745-19752. doi: 10.18632/oncotarget.24820.
2
Biomedical Evaluation of Early Chronic Kidney Disease in the Air Force: Building a Predictive Model from the Taiwan Military Health Service.空军早期慢性肾脏病的生物医学评估:基于台湾军事医疗服务构建预测模型
Bioengineering (Basel). 2024 Feb 28;11(3):231. doi: 10.3390/bioengineering11030231.
3
CKD and cardiovascular disease in screened high-risk volunteer and general populations: the Kidney Early Evaluation Program (KEEP) and National Health and Nutrition Examination Survey (NHANES) 1999-2004.筛查的高危志愿者和普通人群中的慢性肾脏病与心血管疾病:肾脏早期评估项目(KEEP)及1999 - 2004年国家健康与营养检查调查(NHANES)
Am J Kidney Dis. 2008 Apr;51(4 Suppl 2):S38-45. doi: 10.1053/j.ajkd.2007.12.017.
4
Chronic kidney disease and risk factor prevalence in Saint Kitts and Nevis: a cross-sectional study.圣基茨和尼维斯慢性肾脏病及危险因素患病率:一项横断面研究。
BMC Nephrol. 2017 Jan 5;18(1):7. doi: 10.1186/s12882-016-0424-2.
5
Comparison between urine albumin-to-creatinine ratio and urine protein dipstick testing for prevalence and ability to predict the risk for chronic kidney disease in the general population (Iwate-KENCO study): a prospective community-based cohort study.普通人群中尿白蛋白与肌酐比值和尿蛋白试纸检测在慢性肾脏病患病率及预测风险能力方面的比较(岩手县慢性肾脏病队列研究):一项基于社区的前瞻性队列研究
BMC Nephrol. 2016 May 12;17(1):46. doi: 10.1186/s12882-016-0261-3.
6
Prospective analysis of the association of ambulatory blood pressure characteristics with incident chronic kidney disease.动态血压特征与新发慢性肾脏病关联的前瞻性分析
J Hypertens. 2015 Sep;33(9):1939-46; discussion 1946. doi: 10.1097/HJH.0000000000000638.
7
Chronic kidney disease in long-term survivors of myeloablative allogeneic haematopoietic cell transplantation: prevalence and risk factors.异基因造血细胞移植后长期生存者的慢性肾脏病:患病率和危险因素。
Nephrol Dial Transplant. 2010 Jan;25(1):278-82. doi: 10.1093/ndt/gfp485. Epub 2009 Sep 17.
8
Metabolic Risk Factors Associated With Chronic Kidney Disease in a Middle-Aged and Elderly Taiwanese Population: A Cross-Sectional Study.台湾中老年人群中与慢性肾脏病相关的代谢危险因素:一项横断面研究
Front Med (Lausanne). 2021 Nov 16;8:748037. doi: 10.3389/fmed.2021.748037. eCollection 2021.
9
Effects of Intensive Blood Pressure Lowering on Kidney Tubule Injury in CKD: A Longitudinal Subgroup Analysis in SPRINT.SPRINT 中强化降压对 CKD 肾小管损伤的影响:一项纵向亚组分析。
Am J Kidney Dis. 2019 Jan;73(1):21-30. doi: 10.1053/j.ajkd.2018.07.015. Epub 2018 Oct 2.
10
Association of Time-Varying Blood Pressure With Chronic Kidney Disease Progression in Children.时变血压与儿童慢性肾脏病进展的关系。
JAMA Netw Open. 2020 Feb 5;3(2):e1921213. doi: 10.1001/jamanetworkopen.2019.21213.

引用本文的文献

1
Risk Prediction for Early Chronic Kidney Disease: Results from an Adult Health Examination Program of 19,270 Individuals.风险预测早期慢性肾脏病:来自 19270 例成人健康体检计划的结果。
Int J Environ Res Public Health. 2020 Jul 10;17(14):4973. doi: 10.3390/ijerph17144973.
2
Serum Triglycerides Are Related to Chronic Kidney Disease (CKD) Stage 2 in Young and Middle-Aged Chinese Individuals During Routine Health Examination.血清三酰甘油与中青年人群常规健康体检时的慢性肾脏病(CKD)2 期相关。
Med Sci Monit. 2019 Apr 4;25:2445-2451. doi: 10.12659/MSM.913506.

本文引用的文献

1
Chronic kidney disease: importance of early diagnosis, immediate referral and structured interdisciplinary approach to improve outcomes in patients not yet on dialysis.慢性肾脏病:早期诊断、及时转诊及采用结构化多学科方法对尚未接受透析治疗的患者改善预后的重要性。
J Bras Nefrol. 2011 Mar;33(1):93-108.
2
Epidemiology, impact and preventive care of chronic kidney disease in Taiwan.台湾地区慢性肾脏病的流行病学、影响因素与预防保健。
Nephrology (Carlton). 2010 Jun;15 Suppl 2:3-9. doi: 10.1111/j.1440-1797.2010.01304.x.
3
All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan.慢性肾脏病所致的全因死亡率:一项基于台湾462293名成年人的前瞻性队列研究。
Lancet. 2008 Jun 28;371(9631):2173-82. doi: 10.1016/S0140-6736(08)60952-6.
4
Improved GFR estimation by combined creatinine and cystatin C measurements.通过联合检测肌酐和胱抑素C改善肾小球滤过率估计值
Kidney Int. 2007 Dec;72(12):1535-42. doi: 10.1038/sj.ki.5002566. Epub 2007 Sep 26.
5
Predicting initiation and progression of chronic kidney disease: Developing renal risk scores.预测慢性肾脏病的发生与进展:制定肾脏风险评分
Kidney Int. 2006 Nov;70(10):1694-705. doi: 10.1038/sj.ki.5001794. Epub 2006 Sep 13.
6
Assessing kidney function--measured and estimated glomerular filtration rate.评估肾功能——测量和估算的肾小球滤过率
N Engl J Med. 2006 Jun 8;354(23):2473-83. doi: 10.1056/NEJMra054415.
7
Treatment of hypertension in chronic kidney disease.慢性肾脏病高血压的治疗
Semin Nephrol. 2005 Nov;25(6):435-9. doi: 10.1016/j.semnephrol.2005.05.016.
8
Improved estimation of GFR by serum cystatin C in patients undergoing cardiac catheterization.通过血清胱抑素C改善对接受心导管插入术患者的肾小球滤过率估计。
Int J Cardiol. 2005 Jul 10;102(2):173-8. doi: 10.1016/j.ijcard.2004.04.009.
9
Chronic kidney disease: the global challenge.慢性肾脏病:全球面临的挑战。
Lancet. 2005;365(9456):331-40. doi: 10.1016/S0140-6736(05)17789-7.
10
Predictors of new-onset kidney disease in a community-based population.基于社区人群新发肾病的预测因素
JAMA. 2004 Feb 18;291(7):844-50. doi: 10.1001/jama.291.7.844.