Caplin Ben, Jakobsson Kristina, Glaser Jason, Nitsch Dorothea, Jha Vivekanand, Singh Ajay, Correa-Rotter Ricardo, Pearce Neil
Centre for Nephrology, UCL Medical School Royal Free, London, NW3 2PF, UK.
Division of Occupational and Environmental Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
BMC Nephrol. 2017 Jan 3;18(1):1. doi: 10.1186/s12882-016-0417-1.
There is an increasing recognition of epidemics of primarily tubular-interstitial chronic kidney disease (CKD) clustering in agricultural communities in low- and middle-income countries (LMICs). Although it is currently unclear whether there is a unified underlying aetiology, these conditions have been collectively termed CKD of undetermined cause (CKDu). CKDu is estimated to have led to the premature deaths of tens to hundreds of thousands of young men and women over the last 2 decades. Thus, there is an urgent need to understand the aetiology and pathophysiology of these condition (s). International comparisons have provided the first steps in understanding many chronic diseases, but such comparisons rely on the availability of standardised tools to estimate disease prevalence. This is a particular problem with CKD, since the disease is asymptomatic until the late stages, and the biases inherent in the methods used to estimate the glomerular filtration rate (GFR) in population studies are highly variable across populations.
We therefore propose a simple standardised protocol to estimate the distribution of GFR in LMIC populations - The Disadvantaged Populations eGFR Epidemiology (DEGREE) Study. This involves the quantification of renal function in a representative adult population-based sample and a requirement for standardisation of serum creatinine measurements, along with storage of samples for future measurements of cystatin C and ascertainment of estimates of body composition, in order to obtain valid comparisons of estimated GFR (eGFR) within and between populations.
The methodology we present is potentially applicable anywhere, but our particular focus is on disadvantaged populations in LMICs, since these appear to be most susceptible to CKDu. Although the protocol could also be used in specific groups (e.g. occupational groups, thought to be at excess risk of CKDu) the primary aim of the DEGREE project is characterise the population distribution of eGFR in multiple regions so that international comparisons can be performed. It is only with a standardised approach that it will be possible to estimate the scale of, and variation in, impaired kidney function between affected areas. These data should then provide insights into important social, demographic and environmental risk factors for this increasingly recognised disease.
中低收入国家(LMICs)农业社区中主要以肾小管间质为主的慢性肾脏病(CKD)流行日益受到关注。尽管目前尚不清楚是否存在统一的潜在病因,但这些病症被统称为病因不明的CKD(CKDu)。据估计,在过去20年中,CKDu已导致数十万年轻男女过早死亡。因此,迫切需要了解这些病症的病因和病理生理学。国际比较为理解许多慢性疾病提供了第一步,但此类比较依赖于标准化工具来估计疾病患病率。这对于CKD来说是一个特别的问题,因为该疾病在晚期之前没有症状,并且在人群研究中用于估计肾小球滤过率(GFR)的方法所固有的偏差在不同人群中差异很大。
因此,我们提出了一种简单的标准化方案来估计LMIC人群中GFR的分布——弱势群体估算肾小球滤过率流行病学(DEGREE)研究。这涉及在具有代表性的基于成人人群的样本中对肾功能进行量化,以及对血清肌酐测量进行标准化的要求,同时储存样本以便未来测量胱抑素C并确定身体成分估计值,以便在人群内部和人群之间获得估计肾小球滤过率(eGFR)的有效比较。
我们提出的方法可能适用于任何地方,但我们特别关注的是LMICs中的弱势群体,因为这些人群似乎最易患CKDu。尽管该方案也可用于特定群体(例如被认为CKDu风险较高的职业群体),但DEGREE项目的主要目的是表征多个地区eGFR的人群分布,以便能够进行国际比较。只有采用标准化方法,才有可能估计受影响地区之间肾功能损害的规模和差异。这些数据应能为这种日益受到认可的疾病的重要社会、人口和环境风险因素提供见解。