• 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

南非东开普省农村地区的肾脏损伤及相关危险因素:一项横断面研究。

Kidney damage and associated risk factors in the rural Eastern Cape, South Africa: A cross-sectional study.

机构信息

Department of Family Medicine and Rural Health, Faculty of Medicine and Health Sciences, Mthatha, South Africa.

Department of Public Health, Faculty of Medicine and Health Sciences, Mthatha, South Africa.

出版信息

PLoS One. 2024 Sep 9;19(9):e0292416. doi: 10.1371/journal.pone.0292416. eCollection 2024.

DOI:10.1371/journal.pone.0292416
PMID:39250461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11383248/
Abstract

BACKGROUND

The colliding epidemic of infectious and non-communicable diseases in South Africa could potentially increase the prevalence of kidney disease in the country. This study determines the prevalence of kidney damage and known risk factors in a rural community of the Eastern Cape province, South Africa.

METHODS

This observational cross-sectional study was conducted in the outpatient department of the Mbekweni Community Health Centre in the Eastern Cape between May and July 2022. Relevant data on demography, medical history, anthropometry and blood pressure were obtained. The glomerular filtration rate was estimated using the Chronic Kidney Disease Epidemiology Collaboration Creatinine (CKD-EPICreatinine) equation and the re-expressed four-variable Modification of Diet in Renal Disease (MDRD) equation, without any adjustment for black ethnicity. Prevalence of kidney damage was defined as the proportion of individuals with low eGFR (<60mL/min per 1.73m2). The presence of proteins in the spot urine samples was determined with the use of test strips. We used the logistic regression model analysis to identify the independent risk factors for significant kidney damage.

RESULTS

The mean (±standard deviation) age of the 389 participants was 52.3 (± 17.5) years, with 69.9% female. The prevalence of significant kidney damage was 17.2% (n = 67), as estimated by the CKD-EPICreatinine, with a slight difference by the MDRD equation (n = 69; 17.7%), while the prevalence of proteinuria was 7.2%. Older age was identified as a significant risk factor for CKD, with an odds ratio (OR) = 1.08 (95% confidence interval [CI]: 1.06-1.1, p < 0.001). Hypertension was strongly associated with proteinuria (OR = 4.17, 95% CI 1.67-10.4, p<0.001).

CONCLUSIONS

This study found a high prevalence of kidney damage (17.2%) and proteinuria (7.97%) in this rural community, largely attributed to advanced age and hypertension, respectively. Early detection of proteinuria and decreased renal function at community health centres should trigger a referral to a higher level of care for further management of patients.

摘要

背景

传染病和非传染性疾病在南非的同时流行,可能会导致该国肾脏疾病的患病率上升。本研究旨在确定南非东开普省一个农村社区的肾脏损伤患病率和已知危险因素。

方法

本观察性横断面研究于 2022 年 5 月至 7 月在东开普省 Mbekweni 社区卫生中心的门诊部进行。收集人口统计学、病史、人体测量学和血压相关数据。使用慢性肾脏病流行病学合作(CKD-EPI)肌酐方程和重新表达的四变量肾脏病饮食改良(MDRD)方程估算肾小球滤过率,不考虑黑种人种族的调整。肾脏损伤的患病率定义为肾小球滤过率低(<60mL/min/1.73m2)的个体比例。使用测试条确定尿液样本中蛋白质的存在。我们使用逻辑回归模型分析来确定显著肾脏损伤的独立危险因素。

结果

389 名参与者的平均(±标准差)年龄为 52.3(±17.5)岁,女性占 69.9%。根据 CKD-EPI 肌酐方程估计,显著肾脏损伤的患病率为 17.2%(n=67),而根据 MDRD 方程则略高(n=69;17.7%),蛋白尿的患病率为 7.2%。年龄较大被确定为 CKD 的显著危险因素,优势比(OR)=1.08(95%置信区间[CI]:1.06-1.1,p<0.001)。高血压与蛋白尿密切相关(OR=4.17,95%CI 1.67-10.4,p<0.001)。

结论

本研究在这个农村社区发现了较高的肾脏损伤(17.2%)和蛋白尿(7.97%)患病率,主要分别归因于年龄较大和高血压。在社区卫生中心早期发现蛋白尿和肾功能下降应促使将患者转诊至更高水平的医疗机构,以进一步管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b784/11383248/04d4dc66e036/pone.0292416.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b784/11383248/04d4dc66e036/pone.0292416.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b784/11383248/04d4dc66e036/pone.0292416.g001.jpg

相似文献

1
Kidney damage and associated risk factors in the rural Eastern Cape, South Africa: A cross-sectional study.南非东开普省农村地区的肾脏损伤及相关危险因素:一项横断面研究。
PLoS One. 2024 Sep 9;19(9):e0292416. doi: 10.1371/journal.pone.0292416. eCollection 2024.
2
Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and Modification of Diet in Renal Disease equation: an observational, cross-sectional study.使用Cockcroft-Gault公式和肾脏病膳食改良公式评估印度北部低肾小球滤过率、蛋白尿的患病率及相关危险因素:一项观察性横断面研究
BMC Nephrol. 2009 Feb 17;10:4. doi: 10.1186/1471-2369-10-4.
3
Comparison of the prevalence of kidney disease by proteinuria and decreased estimated glomerular filtration rate determined using three creatinine-based equations among patients admitted on medical wards of Masaka Regional Referral Hospital in Uganda: a prospective study.乌干达马萨卡地区转诊医院内科病房住院患者中,三种基于肌酐的方程评估的蛋白尿和估算肾小球滤过率降低与肾脏疾病患病率的比较:一项前瞻性研究。
BMC Nephrol. 2022 Jul 7;23(1):242. doi: 10.1186/s12882-022-02865-w.
4
Prevalence and Pattern of Chronic Kidney Disease and its Associated Risk Factors in a Rural Community in South Western Nigeria.尼日利亚西南部一个农村社区慢性肾脏病的患病率、模式及其相关危险因素
West Afr J Med. 2018 May-Aug;35(2):109-116.
5
Low estimated glomerular filtration rate and proteinuria among adult diabetic patients in a tertiary hospital in Eastern Uganda - a cross-sectional study.乌干达东部一家三级医院成年糖尿病患者的估算肾小球滤过率和蛋白尿水平较低-一项横断面研究。
BMC Nephrol. 2024 Sep 27;25(1):319. doi: 10.1186/s12882-024-03764-y.
6
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.
7
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.
8
Risk factors for reduced glomerular filtration rate in a Nicaraguan community affected by Mesoamerican nephropathy.受中美洲肾病影响的尼加拉瓜社区中肾小球滤过率降低的危险因素。
MEDICC Rev. 2014 Apr;16(2):16-22. doi: 10.37757/MR2014.V16.N2.4.
9
The epidemiology of chronic kidney disease (CKD) in rural East Africa: A population-based study.东非农村地区慢性肾脏病(CKD)的流行病学:一项基于人群的研究。
PLoS One. 2020 Mar 4;15(3):e0229649. doi: 10.1371/journal.pone.0229649. eCollection 2020.
10
Progression of chronic kidney disease among black patients attending a tertiary hospital in Johannesburg, South Africa.南非约翰内斯堡一家三级医院就诊的黑人患者慢性肾脏病的进展情况。
PLoS One. 2023 Feb 13;18(2):e0276356. doi: 10.1371/journal.pone.0276356. eCollection 2023.

引用本文的文献

1
Prevalence and associated factors of chronic kidney disease among diabetes mellitus patients in Ethiopia: A systematic review and meta-analysis.埃塞俄比亚糖尿病患者慢性肾脏病的患病率及相关因素:一项系统评价与荟萃分析
PLoS One. 2025 Mar 5;20(3):e0315529. doi: 10.1371/journal.pone.0315529. eCollection 2025.

本文引用的文献

1
Kidney dysfunction: prevalence and associated risk factors in a community-based study from the North West Province of South Africa.肾功能障碍:南非西北省一项社区研究中的患病率及相关危险因素。
BMC Nephrol. 2023 Jan 30;24(1):23. doi: 10.1186/s12882-023-03068-7.
2
Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study.南非农村地区的慢性肾脏病(CKD)及其相关风险:一项基于人群的队列研究。
Wellcome Open Res. 2022 Nov 3;7:236. doi: 10.12688/wellcomeopenres.18016.2. eCollection 2022.
3
KDIGO 2021 Clinical Practice Guideline for the Management of Glomerular Diseases.
KDIGO 2021肾小球疾病管理临床实践指南。
Kidney Int. 2021 Oct;100(4S):S1-S276. doi: 10.1016/j.kint.2021.05.021.
4
Emergency department use by patients with end-stage renal disease in the United States.美国终末期肾病患者对急诊科的使用情况。
BMC Emerg Med. 2021 Mar 2;21(1):25. doi: 10.1186/s12873-021-00420-8.
5
Cross-sectional study of diabetes kidney disease in the Eastern Cape, South Africa.南非东开普省糖尿病肾病的横断面研究。
Medicine (Baltimore). 2020 Dec 11;99(50):e23303. doi: 10.1097/MD.0000000000023303.
6
Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa.南非五种估算器估算的慢性肾脏病的流行率、一致性和相关性。
BMC Nephrol. 2020 Aug 27;21(1):372. doi: 10.1186/s12882-020-02018-x.
7
Validation of equations to estimate glomerular filtration rate in South Africans of mixed ancestry.估算南非混合血统人群肾小球滤过率方程的验证。
S Afr Med J. 2020 Feb 26;110(3):229-234. doi: 10.7196/SAMJ.2020.v110i3.13995.
8
Primary healthcare services in the rural Eastern Cape, South Africa: Evaluating a service-support project.南非东开普省农村地区的初级医疗保健服务:评估服务支持项目。
Afr J Prim Health Care Fam Med. 2020 Apr 2;12(1):e1-e7. doi: 10.4102/phcfm.v12i1.2207.
9
Sex Differences in the Progression of CKD Among Older Patients: Pooled Analysis of 4 Cohort Studies.老年患者慢性肾脏病进展的性别差异:4 项队列研究的汇总分析。
Am J Kidney Dis. 2020 Jan;75(1):30-38. doi: 10.1053/j.ajkd.2019.05.019. Epub 2019 Aug 10.
10
Chronic Kidney Disease and Cardiovascular Disease: Is there Any Relationship?慢性肾脏病与心血管疾病:它们之间存在关联吗?
Curr Cardiol Rev. 2019;15(1):55-63. doi: 10.2174/1573403X14666180711124825.