• 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

马拉维农村和城市人群中不明原因慢性肾脏病的患病率及危险因素:一项横断面分析

Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population.

机构信息

Department of Epidemiology and Biostatistics, Imperial College London, London, UK.

MRC Centre for Environment and Health, Imperial College London, London, UK.

出版信息

BMC Nephrol. 2020 Sep 7;21(1):387. doi: 10.1186/s12882-020-02034-x.

DOI:10.1186/s12882-020-02034-x
PMID:32894093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7487679/
Abstract

BACKGROUND

An epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational characteristics to CKDu-endemic countries. We investigated whether CKDu is prevalent in Malawi and identified its potential risk factors in this setting.

METHODS

We conducted a cross-sectional study from January-August 2018 collecting bio samples and anthropometric data in two Malawian populations. The sample comprised adults > 18 years (n = 821) without diabetes, hypertension, and proteinuria. Estimates of glomerular filtration rate (eGFR) were calculated using the CKD-EPI equation. Linear and logistic regression models were applied with potential risk factors, to estimate risk of reduced eGFR.

RESULTS

The mean eGFR was 117.1 ± 16.0 ml/min per 1.73m and the mean participant age was 33.5 ± 12.7 years. The prevalence of eGFR< 60 was 0.2% (95% confidence interval (95% CI) 0.1, 0.9); the prevalence of eGFR< 90 was 5% (95% CI =3.2, 6.3). We observed a higher prevalence in the rural population (5% (3.6, 7.8)), versus urban (3% (1.4, 6.7)). Age and BMI were associated with reduced eGFR< 90 [Odds ratio (OR) (95%CI) =3.59 (2.58, 5.21) per ten-year increment]; [OR (95%CI) =2.01 (1.27, 3.43) per 5 kg/m increment] respectively. No increased risk of eGFR < 90 was observed for rural participants [OR (95%CI) =1.75 (0.50, 6.30)].

CONCLUSIONS

Reduced kidney function consistent with the definition of CKDu is not common in the areas of Malawi sampled, compared to that observed in other tropical or sub-tropical countries in Central America and South Asia. Reduced eGFR< 90 was related to age, BMI, and was more common in rural areas. These findings are important as they contradict some current hypothesis that CKDu is endemic across tropical and sub-tropical countries. This study has enabled standardized comparisons of impaired kidney function between and within tropical/subtropical regions of the world and will help form the basis for further etiological research, surveillance strategies, and the implementation and evaluation of interventions.

摘要

背景

在南美洲和印度的一些低收入和中等收入国家的热带农村社区,一种病因不明的慢性肾脏病(CKDu)正在流行。来自具有与 CKDu 流行国家相似气候和职业特征的南部非洲国家的信息很少。我们调查了 CKDu 是否在马拉维流行,并在此背景下确定了其潜在的危险因素。

方法

我们于 2018 年 1 月至 8 月进行了一项横断面研究,在马拉维的两个人群中收集了生物样本和人体测量数据。该样本包括年龄大于 18 岁的成年人(n=821),他们没有糖尿病、高血压和蛋白尿。使用 CKD-EPI 方程计算肾小球滤过率(eGFR)的估计值。应用线性和逻辑回归模型,对潜在的危险因素进行分析,以评估 eGFR 降低的风险。

结果

平均 eGFR 为 117.1±16.0 ml/min/1.73m,平均参与者年龄为 33.5±12.7 岁。eGFR<60 的患病率为 0.2%(95%置信区间(95%CI)为 0.1,0.9);eGFR<90 的患病率为 5%(95%CI=3.2,6.3)。我们观察到农村人口的患病率较高(5%(3.6,7.8)),而城市人口的患病率较低(3%(1.4,6.7))。年龄和 BMI 与 eGFR<90 相关[每增加十岁的比值比(OR)(95%CI)=3.59(2.58,5.21)];[每增加 5kg/m2 的 OR(95%CI)=2.01(1.27,3.43)]。农村参与者的 eGFR<90 风险没有增加[OR(95%CI)=1.75(0.50,6.30)]。

结论

与中美洲和南亚其他热带或亚热带国家观察到的情况相比,在马拉维采样的地区,符合 CKDu 定义的肾功能降低并不常见。eGFR<90 与年龄、BMI 有关,在农村地区更为常见。这些发现很重要,因为它们与一些目前的假设相矛盾,即 CKDu 在热带和亚热带国家普遍存在。本研究使我们能够在世界热带/亚热带地区之间和内部对受损肾功能进行标准化比较,并将有助于进一步开展病因学研究、监测策略以及干预措施的实施和评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/5a2fde2287d8/12882_2020_2034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/a62ea4c63e90/12882_2020_2034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/1c92be7375b2/12882_2020_2034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/5a2fde2287d8/12882_2020_2034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/a62ea4c63e90/12882_2020_2034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/1c92be7375b2/12882_2020_2034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efbe/7487679/5a2fde2287d8/12882_2020_2034_Fig3_HTML.jpg

相似文献

1
Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population.马拉维农村和城市人群中不明原因慢性肾脏病的患病率及危险因素:一项横断面分析
BMC Nephrol. 2020 Sep 7;21(1):387. doi: 10.1186/s12882-020-02034-x.
2
Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India: secondary data analysis of three population-based cross-sectional studies.印度不明原因慢性肾脏病的患病率及危险因素:三项基于人群的横断面研究的二次数据分析。
BMJ Open. 2019 Mar 7;9(3):e023353. doi: 10.1136/bmjopen-2018-023353.
3
International prevalence patterns of low eGFR in adults aged 18-60 without traditional risk factors from a population-based cross-sectional disadvantaged populations eGFR epidemiology (DEGREE) study.一项基于人群的横断面弱势群体估算肾小球滤过率(eGFR)流行病学(DEGREE)研究中,18至60岁无传统风险因素成年人中低eGFR的国际流行模式。
Kidney Int. 2025 Mar;107(3):541-557. doi: 10.1016/j.kint.2024.11.028. Epub 2024 Dec 19.
4
The prevalence of renal impairment in individuals seeking HIV testing in Urban Malawi.马拉维城市地区寻求艾滋病毒检测者的肾功能损害患病率。
BMC Nephrol. 2016 Nov 22;17(1):186. doi: 10.1186/s12882-016-0403-7.
5
Kidney damage and associated risk factors in rural and urban sub-Saharan Africa (AWI-Gen): a cross-sectional population study.农村和城市撒哈拉以南非洲地区(AWI-Gen)的肾脏损伤及相关风险因素:一项横断面人群研究。
Lancet Glob Health. 2019 Dec;7(12):e1632-e1643. doi: 10.1016/S2214-109X(19)30443-7.
6
CKD and CKDu in northern Peru: a cross-sectional analysis under the DEGREE protocol.秘鲁北部的慢性肾脏病和慢性肾脏病未分类:DEGREE 方案下的横断面分析。
BMC Nephrol. 2021 Jan 21;22(1):37. doi: 10.1186/s12882-021-02239-8.
7
Cross-sectional study of association between socioeconomic indicators and chronic kidney disease in rural-urban Ghana: the RODAM study.加纳城乡地区社会经济指标与慢性肾脏病关联的横断面研究:RODAM研究
BMJ Open. 2019 May 24;9(5):e022610. doi: 10.1136/bmjopen-2018-022610.
8
Prevalence and risk factors for impaired kidney function in the district of Anuradhapura, Sri Lanka: a cross-sectional population-representative survey in those at risk of chronic kidney disease of unknown aetiology.斯里兰卡阿努拉德普勒地区肾功能受损的患病率和危险因素:在病因不明的慢性肾脏病高危人群中进行的横断面人群代表性调查。
BMC Public Health. 2019 Jun 14;19(1):763. doi: 10.1186/s12889-019-7117-2.
9
Chronic kidney disease in Russia: the Ural eye and medical study.俄罗斯的慢性肾脏病:乌拉尔之眼与医学研究。
BMC Nephrol. 2020 May 25;21(1):198. doi: 10.1186/s12882-020-01843-4.
10
Prevalence and predictors of chronic kidney disease of undetermined causes (CKDu) in Western Kenya's "sugar belt": a cross-sectional study.肯尼亚西部“糖带”地区原因不明的慢性肾脏病(CKDu)的流行情况及其预测因素:一项横断面研究。
BMC Nephrol. 2023 Jun 6;24(1):157. doi: 10.1186/s12882-023-03213-2.

引用本文的文献

1
Progress of chronic kidney disease and associated predictors among patients under treatment at Gambi and Felege-Hiwote hospitals.甘比医院和费莱格-希沃特医院接受治疗的患者中慢性肾脏病的进展及相关预测因素
Sci Rep. 2025 Aug 2;15(1):28213. doi: 10.1038/s41598-025-13031-1.
2
Heterogeneity in diagnostic criteria for chronic kidney disease of undetermined etiology (CKDu): a systematic review of the literature.病因不明的慢性肾脏病(CKDu)诊断标准的异质性:文献系统评价
BMC Nephrol. 2025 Jul 1;26(1):320. doi: 10.1186/s12882-025-04258-1.
3
International prevalence patterns of low eGFR in adults aged 18-60 without traditional risk factors from population-based cross-sectional studies: a disadvantaged populations eGFR epidemiology (DEGREE) study.

本文引用的文献

1
Prevalence of impaired renal function among rural and urban populations: findings of a cross-sectional study in Malawi.马拉维城乡居民肾功能受损的患病率:一项横断面研究的结果
Wellcome Open Res. 2019 Jun 10;4:92. doi: 10.12688/wellcomeopenres.15255.1. eCollection 2019.
2
Let's take the heat out of the CKDu debate: more evidence is needed.让我们消除慢性肾脏病合并不明原因急性肾损伤(CKDu)争论中的激烈情绪:我们需要更多证据。
Occup Environ Med. 2019 Jun;76(6):357-359. doi: 10.1136/oemed-2018-105427. Epub 2019 Mar 30.
3
CKD of Unknown Cause: A Global Epidemic?
基于人群的横断面研究中18-60岁无传统危险因素成年人低估算肾小球滤过率(eGFR)的国际流行模式:弱势人群eGFR流行病学(DEGREE)研究
medRxiv. 2024 Nov 1:2024.06.24.24309380. doi: 10.1101/2024.06.24.24309380.
4
Urban-rural health disparity among patients with chronic kidney disease: a cross-sectional community-based study from 2012 to 2019.城乡慢性肾脏病患者健康差距:2012 年至 2019 年的一项基于社区的横断面研究。
BMJ Open. 2024 Jul 30;14(7):e082959. doi: 10.1136/bmjopen-2023-082959.
5
Where do you live and what do you do? Two questions that might impact your kidney health.你住在哪里以及你从事什么工作?这两个问题可能会影响你的肾脏健康。
Front Nephrol. 2022 Oct 5;2:1011964. doi: 10.3389/fneph.2022.1011964. eCollection 2022.
6
Association of indoor use of pesticides with CKD of unknown origin.室内使用农药与不明原因的慢性肾脏病有关。
PLoS One. 2023 Jul 21;18(7):e0277151. doi: 10.1371/journal.pone.0277151. eCollection 2023.
7
Prevalence and predictors of chronic kidney disease of undetermined causes (CKDu) in Western Kenya's "sugar belt": a cross-sectional study.肯尼亚西部“糖带”地区原因不明的慢性肾脏病(CKDu)的流行情况及其预测因素:一项横断面研究。
BMC Nephrol. 2023 Jun 6;24(1):157. doi: 10.1186/s12882-023-03213-2.
8
Factors Associated with Chronic Kidney Disease of Unknown Etiology (CKDu): A Systematic Review.与不明病因慢性肾脏病(CKDu)相关的因素:一项系统评价
Healthcare (Basel). 2023 Feb 13;11(4):551. doi: 10.3390/healthcare11040551.
9
Bailing Capsule combined with α-ketoacid tablets for stage 3 chronic kidney disease: Protocol of a double-blinded, randomized, controlled trial.百灵胶囊联合α-酮酸片治疗慢性肾脏病 3 期的随机双盲对照研究方案
Medicine (Baltimore). 2021 May 21;100(20):e25759. doi: 10.1097/MD.0000000000025759.
病因不明的慢性肾脏病:一场全球流行病?
Kidney Int Rep. 2018 Dec 3;4(3):367-369. doi: 10.1016/j.ekir.2018.11.019. eCollection 2019 Mar.
4
Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India: secondary data analysis of three population-based cross-sectional studies.印度不明原因慢性肾脏病的患病率及危险因素:三项基于人群的横断面研究的二次数据分析。
BMJ Open. 2019 Mar 7;9(3):e023353. doi: 10.1136/bmjopen-2018-023353.
5
The International Society of Nephrology's International Consortium of Collaborators on Chronic Kidney Disease of Unknown Etiology: report of the working group on approaches to population-level detection strategies and recommendations for a minimum dataset.国际肾脏病学会不明病因慢性肾脏病国际合作联盟:人群水平检测策略方法工作组报告及最小数据集建议
Kidney Int. 2019 Jan;95(1):4-10. doi: 10.1016/j.kint.2018.08.019.
6
Pesticide exposures and chronic kidney disease of unknown etiology: an epidemiologic review.农药暴露与病因不明的慢性肾脏病:一项流行病学综述。
Environ Health. 2017 May 23;16(1):49. doi: 10.1186/s12940-017-0254-0.
7
Toward a Comprehensive Hypothesis of Chronic Interstitial Nephritis in Agricultural Communities.迈向农业社区慢性间质性肾炎的综合假说
Adv Chronic Kidney Dis. 2017 Mar;24(2):101-106. doi: 10.1053/j.ackd.2017.01.001.
8
Body-mass index and risk of advanced chronic kidney disease: Prospective analyses from a primary care cohort of 1.4 million adults in England.体重指数与晚期慢性肾脏病风险:来自英国140万成年人初级保健队列的前瞻性分析
PLoS One. 2017 Mar 8;12(3):e0173515. doi: 10.1371/journal.pone.0173515. eCollection 2017.
9
Renal Morphology, Clinical Findings, and Progression Rate in Mesoamerican Nephropathy.中美洲肾病的肾脏形态、临床发现和进展速度。
Am J Kidney Dis. 2017 May;69(5):626-636. doi: 10.1053/j.ajkd.2016.10.036. Epub 2017 Jan 23.
10
International Collaboration for the Epidemiology of eGFR in Low and Middle Income Populations - Rationale and core protocol for the Disadvantaged Populations eGFR Epidemiology Study (DEGREE).低收入和中等收入人群估算肾小球滤过率流行病学国际协作组织——弱势群体估算肾小球滤过率流行病学研究(DEGREE)的原理与核心方案
BMC Nephrol. 2017 Jan 3;18(1):1. doi: 10.1186/s12882-016-0417-1.