Suppr超能文献

印度奥里萨邦库塔克区慢性肾脏病的流行情况。

Prevalence of Chronic Kidney Disease in Cuttack District of Odisha, India.

机构信息

Utkal Kidney Foundation, Apollo Hospitals, Bhubaneswar 751005, Odisha, India.

Regional Medical Research Centre, Indian Council of Medical Research, Bhubaneswar 751023, Odisha, India.

出版信息

Int J Environ Res Public Health. 2020 Jan 10;17(2):456. doi: 10.3390/ijerph17020456.

Abstract

Chronic kidney disease is one of the major health challenges in India. Cuttack district of the Odisha state of India is regarded as a hotspot for chronic kidney disease (CKD). However, there is limited information on true prevalence. This study estimates the prevalence of CKD in the Narsinghpur block of Cuttack district, Odisha. A cross-sectional study was conducted among population members aged 20-60 years. Using a multi-stage cluster sampling. 24 villages were randomly selected for mass screening for CKD. Blood samples were collected and glomerulus filtration rates were calculated. It was found that among the 2978 people screened, 14.3% were diagnosed with CKD and 10.8% were diagnosed with CKD without either diabetes or hypertension. In one-third of the sampled villages, about 20% population was diagnosed with CKD. The prevalence was higher among males (57%), in the population below 50 years of age (54%), lower socioeconomic groups (70%), and agricultural occupational groups (48%). Groundwater tube wells (49%) and wells (41%) were the main drinking water sources for CKD patients. This study highlights the need for detection of unknown etiologies of CKD and public health interventions for the prevention of CKD in India.

摘要

慢性肾脏病是印度面临的主要健康挑战之一。印度奥里萨邦的库塔克区被认为是慢性肾脏病(CKD)的热点地区。然而,关于其真实流行率的信息有限。本研究旨在评估奥里萨邦库塔克区纳尔辛哈布尔(Narsinghpur)街区的 CKD 流行率。这是一项横断面研究,研究对象为 20-60 岁的人群。采用多阶段聚类抽样法,随机选择 24 个村庄进行 CKD 大规模筛查。采集血样并计算肾小球滤过率。结果发现,在筛查的 2978 人中,14.3%被诊断为 CKD,10.8%被诊断为无糖尿病或高血压的 CKD。在三分之一的抽样村庄中,约有 20%的人口被诊断为 CKD。男性(57%)、50 岁以下人群(54%)、社会经济地位较低的人群(70%)和农业职业人群(48%)的患病率较高。地下水管井(49%)和水井(41%)是 CKD 患者的主要饮用水源。本研究强调了在印度检测 CKD 未知病因和开展公共卫生干预措施以预防 CKD 的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7607/7014305/533cc065465d/ijerph-17-00456-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验