Bello Aminu K, Peters Jean, Rigby Jan, Rahman Alhussein A, El Nahas Meguid
Sheffield Kidney Institute, UK.
Clin J Am Soc Nephrol. 2008 Sep;3(5):1316-23. doi: 10.2215/CJN.00680208. Epub 2008 Jun 25.
Low socioeconomic status (SES) is associated with both development and progression of chronic kidney disease (CKD). The impact of SES on severity of CKD at presentation to a renal service is less well known. This study investigated the relationship between SES and severity of CKD in a retrospective, cross-sectional analysis involving 1657 patients at the Sheffield Kidney Institute (Sheffield, UK).
DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: SES was assigned to each patient according to electoral ward of residence by postcode and ranked according to the corresponding British Index of Multiple Deprivation score, which comprises five deprivation quintiles (Q1, least deprived; Q5, most deprived). National Kidney Foundation Kidney Disease Outcomes Quality Initiative classification of CKD was used for stratification and analysis. Binary logistic regression analysis was applied for the association of variables/risk factors with CKD (lower GFR) at presentation.
The age-adjusted prevalence of diagnosed CKD at presentation by area of residence, across the five deprivation quintiles, per million population was Q1 = 1495, Q2 = 3530, Q3 = 3398, Q4 = 3989, and Q5 = 19,599. Logistic regression models showed that living in the lowest SES quintile area (Q5) as compared with the highest SES (Q1) was associated with a greater risk for presenting with a lower estimated GFR, after adjustment for sociodemographic, lifestyle, and clinical variables.
Low SES is related to severity of CKD at presentation. Further studies are needed to examine this issue across the various SES categories in the United Kingdom.
社会经济地位低下(SES)与慢性肾脏病(CKD)的发生和进展均相关。SES对肾病科初诊时CKD严重程度的影响鲜为人知。本研究在一项涉及英国谢菲尔德肾脏研究所1657例患者的回顾性横断面分析中,调查了SES与CKD严重程度之间的关系。
设计、地点、参与者及测量方法:根据患者居住的选区邮政编码为每位患者分配SES,并根据相应的英国多重贫困指数评分进行排名,该指数包括五个贫困五分位数(Q1,最不贫困;Q5,最贫困)。采用美国国家肾脏基金会慢性肾脏病预后质量倡议分类法进行分层和分析。应用二元逻辑回归分析变量/风险因素与初诊时CKD(较低的肾小球滤过率)的相关性。
按居住地区划分,在五个贫困五分位数中,每百万人口初诊时经年龄调整的确诊CKD患病率分别为:Q1 = 1495,Q2 = 3530,Q3 = 3398,Q4 = 3989,Q5 = 19599。逻辑回归模型显示,在对社会人口学、生活方式和临床变量进行调整后,与最高SES(Q1)相比,生活在最低SES五分位数地区(Q5)的患者出现较低估计肾小球滤过率的风险更高。
SES低下与初诊时CKD的严重程度相关。需要进一步研究以在英国不同SES类别中探讨这一问题。