Suchergebnisse

The social and economic burdens of dialysis are growing worldwide as the number of patients increases. Dialysis is becoming a heavy burden even in developed countries. Thus, preventing end-stage kidney disease is of the utmost importance. Early detection and treatment is recommended because late referral is common, with most chronic kidney disease (CKD) patients remaining asymptomatic until a late stage. Three-quarters of dialysis patients initiated dialysis therapy within 1 year after referral to the facility. Since its introduction in 2002, the definition of CKD has been widely accepted not only by nephrologists but also by other medical specialties, such as cardiologists and general practitioners. Japan has a long history of general screening for school children, university students, and employees of companies and government offices, with everybody asked to participate. The urine test for proteinuria and hematuria is popular among Japanese people; however, the outcomes have not been well studied. We examined the effects of clinical and laboratory data from several sources on survival of dialysis patients and also predictors of developing dialysis from community-based screening (Okinawa Dialysis Study, OKIDS). At an early CKD stage, patients are usually asymptomatic; therefore, regular health checks using a urine dipstick and serum creatinine are recommended. The intervals for follow-up, however, are debatable due to the cost. CKD is a strong risk factor for developing cardiovascular disease and death and also plays an important role in infection and malignancies, particularly in elderly people. People can live longer with healthy kidneys.

OBJECTIVE To evaluate the associations between adiposity measures (body mass index, waist circumference, and waist-to-height ratio) with decline in glomerular filtration rate (GFR) and with all cause mortality. DESIGN Individual participant data meta-analysis. SETTING Cohorts from 40 countries with data collected between 1970 and 2017. PARTICIPANTS Adults in 39 general population cohorts (n=5 459 014), of which 21 (n=594 496) had data on waist circumference; six cohorts with high cardiovascular risk (n=84 417); and 18 cohorts with chronic kidney disease (n=91 607). MAIN OUTCOME MEASURES GFR decline (estimated GFR decline ≥40%, initiation of kidney replacement therapy or estimated GFR <10 mL/ min/1.73 m2) and all cause mortality. RESULTS Over a mean follow-up of eight years, 246 607 (5.6%) individuals in the general population cohorts had GFR decline (18 118 (0.4%) end stage kidney disease events) and 782 329 (14.7%) died. Adjusting for age, sex, race, and current smoking, the hazard ratios for GFR decline comparing body mass indices 30, 35, and 40 with body mass index 25 were 1.18 (95% confidence interval 1.09 to 1.27), 1.69 (1.51 to 1.89), and 2.02 (1.80 to 2.27), respectively. Results were similar in all subgroups of estimated GFR. Associations weakened after adjustment for additional comorbidities, with respective hazard ratios of 1.03 (0.95 to 1.11), 1.28 (1.14 to 1.44), and 1.46 (1.28 to 1.67). The association between body mass index and death was J shaped, with the lowest risk at body mass index of 25. In the cohorts with high cardiovascular risk and chronic kidney disease (mean follow-up of six and four years, respectively), risk associations between higher body mass index and GFR decline were weaker than in the general population, and the association between body mass index and death was also J shaped, with the lowest risk between body mass index 25 and 30. In all cohort types, associations between higher waist circumference and higher waist-to-height ratio with GFR decline were similar to that of body mass index; however, increased risk of death was not associated with lower waist circumference or waist-to-height ratio, as was seen with body mass index. CONCLUSIONS Elevated body mass index, waist circumference, and waist-to-height ratio are independent risk factors for GFR decline and death in individuals who have normal or reduced levels of estimated GFR. ; The CKD-PC data coordinating centre is funded partly by a programme grant from the US National Kidney Foundation and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; R01DK100446-01). Various sources have supported enrolment and data collection including laboratory measurements, and follow-up in the collaborating cohorts of the CKD-PC; these funding sources include government agencies such as national institutes of health and medical research councils as well as foundations and industry sponsors listed in eAppendix 3. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. ARC was supported by NIDDK (1K23DK106515-01).