BACKGROUND: Variation in end-stage renal disease treatment rates in the UK persist after adjustment for socio-demographic factors. METHODS: UK-wide ecological study using population socio-demographic factors, health status characteristics and access to health services factor in to explain the incidence of renal replacement therapy (RRT). RESULTS: There was a 6% higher incidence rate of RRT per standard deviation (SD) increase in area diabetes prevalence after adjustment for area level socio-economic deprivation status and the proportion of non-white residents [incidence rate ratio adjusted (IRR adjusted) 1.06 (95% confidence interval 1.03,1.09), P < 0.001]. A 3% lower-adjusted RRT incidence rate was seen with each SD higher proportion of diabetics achieving an HbA1c of <7.5% [IRR 0.97 (0.94, 1.00), P = 0.03]. Hypertension prevalence was independently associated with an 8% higher RRT incidence rate per SD increase [IRR adjusted 1.08 (1.04, 1.11), P < 0.001] and an SD increase in life expectancy in an area was independently associated with 7% lower RRT incidence rate [IRR adjusted 0.93 (0.91, 0.96), P < 0.001]. An SD increase in premature cardiovascular (CV) mortality rate in an area was also independently associated with RRT incidence rates [IRR adjusted 1.06 (1.03, 1.09), P < 0.001]. Rates of coronary artery bypass grafting (CABG)/angioplasty and knee replacement were positively associated with RRT incidence, but mammography uptake was not associated. In total, 31% of the regional variation in RRT incidence could be explained by these factors. CONCLUSIONS: Diabetes prevalence, the proportion of diabetics achieving good glycaemic control, hypertension prevalence, life expectancy, premature CV mortality, CABG/angioplasty and knee replacement rates were all associated with RRT incidence. A third of the regional variation in RRT incidence between areas can be explained by these demographic, health and access to health services factors.
BACKGROUND: Variation in end-stage renal disease treatment rates in the UK persist after adjustment for socio-demographic factors. METHODS: UK-wide ecological study using population socio-demographic factors, health status characteristics and access to health services factor in to explain the incidence of renal replacement therapy (RRT). RESULTS: There was a 6% higher incidence rate of RRT per standard deviation (SD) increase in area diabetes prevalence after adjustment for area level socio-economic deprivation status and the proportion of non-white residents [incidence rate ratio adjusted (IRR adjusted) 1.06 (95% confidence interval 1.03,1.09), P < 0.001]. A 3% lower-adjusted RRT incidence rate was seen with each SD higher proportion of diabetics achieving an HbA1c of <7.5% [IRR 0.97 (0.94, 1.00), P = 0.03]. Hypertension prevalence was independently associated with an 8% higher RRT incidence rate per SD increase [IRR adjusted 1.08 (1.04, 1.11), P < 0.001] and an SD increase in life expectancy in an area was independently associated with 7% lower RRT incidence rate [IRR adjusted 0.93 (0.91, 0.96), P < 0.001]. An SD increase in premature cardiovascular (CV) mortality rate in an area was also independently associated with RRT incidence rates [IRR adjusted 1.06 (1.03, 1.09), P < 0.001]. Rates of coronary artery bypass grafting (CABG)/angioplasty and knee replacement were positively associated with RRT incidence, but mammography uptake was not associated. In total, 31% of the regional variation in RRT incidence could be explained by these factors. CONCLUSIONS:Diabetes prevalence, the proportion of diabetics achieving good glycaemic control, hypertension prevalence, life expectancy, premature CV mortality, CABG/angioplasty and knee replacement rates were all associated with RRT incidence. A third of the regional variation in RRT incidence between areas can be explained by these demographic, health and access to health services factors.
Authors: Maxime Desmarets; Carole Ayav; Kadiatou Diallo; Florian Bayer; Frédéric Imbert; Erik André Sauleau; Elisabeth Monnet Journal: PLoS One Date: 2020-07-28 Impact factor: 3.240